<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article article-type="research-article" dtd-version="2.3" xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Transpl Int</journal-id>
<journal-title>Transplant International</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Transpl Int</abbrev-journal-title>
<issn pub-type="epub">1432-2277</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">11792</article-id>
<article-id pub-id-type="doi">10.3389/ti.2023.11792</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Health Archive</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Multi-Centre UK Analysis of Simultaneous Pancreas and Kidney (SPK) Transplant in Recipients With Type 2 Diabetes Mellitus</article-title>
<alt-title alt-title-type="left-running-head">Owen et al.</alt-title>
<alt-title alt-title-type="right-running-head">T2DM and SPK Transplant Outcomes</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Owen</surname>
<given-names>Ruth V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2374586/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Carr</surname>
<given-names>Harry J.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Counter</surname>
<given-names>Claire</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tingle</surname>
<given-names>Samuel J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thompson</surname>
<given-names>Emily R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Manas</surname>
<given-names>Derek M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shaw</surname>
<given-names>James A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/387154/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wilson</surname>
<given-names>Colin H.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>White</surname>
<given-names>Steve A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Institute of Transplantation</institution>, <institution>Freeman Hospital</institution>, <addr-line>Newcastle Upon Tyne</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>John Radcliffe Hospital</institution>, <addr-line>Oxford</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Statistics and Clinical Research</institution>, <institution>NHS Blood and Transplant</institution>, <addr-line>Bristol</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Blood and Transplant Unit</institution>, <institution>Newcastle University</institution>, <addr-line>Newcastle Upon Tyne</addr-line>, <country>United Kingdom</country>
</aff>
<author-notes>
<corresp id="c001">&#x2a;Correspondence: Ruth V. Owen, <email>ruth.owen14@nhs.net</email>
</corresp>
<fn fn-type="other" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>RO is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>36</volume>
<elocation-id>11792</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>10</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Owen, Carr, Counter, Tingle, Thompson, Manas, Shaw, Wilson and White.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Owen, Carr, Counter, Tingle, Thompson, Manas, Shaw, Wilson and White</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>90% of the UK diabetic population are classified as T2DM. This study aims to compare outcomes after SPK transplant between recipients with T1DM or T2DM. Data on all UK SPK transplants from 2003&#x2013;2019 were obtained from the NHSBT Registry (<italic>n</italic> &#x3d; 2,236). Current SPK transplant selection criteria for T2DM requires insulin treatment and recipient BMI &#x3c; 30&#xa0;kg/m<sup>2</sup>. After exclusions (re-transplants/ambiguous type of diabetes) we had a cohort of <italic>n</italic> &#x3d; 2,154. Graft (GS) and patient (PS) survival analyses were conducted using Kaplan-Meier plots and Cox-regression models. Complications were compared using chi-squared analyses. 95.6% of SPK transplants were performed in recipients with T1DM (<italic>n</italic> &#x3d; 2,060). Univariate analysis showed comparable outcomes for pancreas GS at 1&#xa0;year (<italic>p</italic> &#x3d; 0.120), 3&#xa0;years (<italic>p</italic> &#x3d; 0.237), and 10&#xa0;years (<italic>p</italic> &#x3d; 0.196) and kidney GS at 1&#xa0;year (<italic>p</italic> &#x3d; 0.438), 3&#xa0;years (<italic>p</italic> &#x3d; 0.548), and 10&#xa0;years (<italic>p</italic> &#x3d; 0.947). PS was comparable at 1&#xa0;year (<italic>p</italic> &#x3d; 0.886) and 3&#xa0;years (<italic>p</italic> &#x3d; 0.237) and at 10&#xa0;years (<italic>p</italic> &#x3d; 0.161). Multi-variate analysis showed comparable outcomes in pancreas GS (<italic>p</italic> &#x3d; 0.564, HR 1.221, 95% CI 0.619, 2.406) and PS(<italic>p</italic> &#x3d; 0.556, HR 1.280, 95% CI 0.563, 2.911). Comparable rates of common complications were demonstrated. This is the largest series outside of the US evaluating outcomes after SPK transplants and shows similar outcomes between T1DM and T2DM recipients. It is hoped dissemination of this data will lead to increased referral rates and assessment of T2DM patients who could benefit from SPK transplantation.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<graphic xlink:href="TI_ti-2023-11792_wc_abs.tif" position="anchor"/>
</p>
</abstract>
<kwd-group>
<kwd>equitable access</kwd>
<kwd>diabetes mellitus type 2</kwd>
<kwd>simultaneous kidney pancreas transplantation</kwd>
<kwd>United Kingdom</kwd>
<kwd>outcomes</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>4.9 million people in the United Kingdom (UK) have diabetes characterised by progressive loss of beta-cell mass and/or function. There are broadly two main classifications of diabetes mellitus; Type 1 (T1DM) and Type 2 (T2DM) but sometimes it is difficult to precisely distinguish between the two. The first simultaneous pancreas and kidney transplant was performed in 1966 and initially reserved for patients with T1DM [<xref ref-type="bibr" rid="B1">1</xref>]. As the techniques and indications have evolved it was soon realised that some patients with T2DM would also benefit [<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>].</p>
<p>Approximately 90% of the diabetic population have been classified as T2DM compared to only 8% with T1DM [<xref ref-type="bibr" rid="B6">6</xref>]. Previously it was thought that T1DM was a disease with onset always in the young, whereas T2DM affected only older adults who were overweight. However, with increasing understanding about diabetes, binary classification of T1DM and T2DM has become increasingly difficult [<xref ref-type="bibr" rid="B7">7</xref>]. Studies using historic data comparing various cohorts of diabetic patients is therefore subject to different interpretations when considering the complexities of categorisation. The complex aetiology also makes planning the best management of these patients challenging when they are referred for beta-cell replacement therapy. T2DM is an extremely heterogenous disease. For example, life threatening severe hypoglycaemic unawareness is rare in T2DM but more common in patients with T1DM. Consequently, both Pancreas transplant alone (PTA) and Islet transplant alone (ITA), indicated in the UK solely for recurrent life-threatening hypoglycaemia has never been undertaken for T2DM patients. In the current study outcomes after SPK, as opposed to solitary pancreas transplantation, were investigated in patients with T2DM.</p>
<p>The current UK listing criteria for SPK in a potential T2DM recipient includes; 1) the need for insulin treatment and dependence 2) a BMI of &#x2264;30&#xa0;kg/m<sup>2</sup> and 3) patients must be receiving dialysis or have a GFR &#x2264;20&#xa0;mLs/min [<xref ref-type="bibr" rid="B8">8</xref>]. The presence of C-peptide is not an absolute contraindication because of inaccuracies in evaluation in patients with renal failure [<xref ref-type="bibr" rid="B9">9</xref>]. In essence potential T2DM recipients need to be fit for surgery, not overtly obese, on insulin treatment with end stage renal disease. Numerous previous studies have shown that patient survival after SPK transplant is superior to those patients on dialysis or those having deceased donor kidney transplant alone (KTA) [<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>].</p>
<p>The aim of this study was to compare outcomes in the NHSBT database between patients with either T2DM or T1DM after SPK transplantation.</p>
</sec>
<sec sec-type="patients|methods" id="s2">
<title>Patients and Methods</title>
<p>NHS Blood and Transplant UK registry data was obtained for all simultaneous pancreas and kidney (SPK) transplants that took place between 2003&#x2013;2019, <italic>n</italic> &#x3d; 2,236. Cases where the aetiology of diabetes was missing or had been classified as &#x201c;other&#x201d; rather than specifically Type 1 or Type 2 diabetes were excluded, as were recipients who had received a re-transplant, resulting in a final cohort of <italic>n</italic> &#x3d; 2,154. The type of diabetes was predefined by the centre listing the patient for transplant.</p>
<p>Recipient characteristics; age, sex, body mass index (BMI&#x2014;categorised by the WHO classification) [<xref ref-type="bibr" rid="B14">14</xref>], ethnic group (categorised as white or BAME&#x2014;black, Asian and minority ethnic), waiting time for transplant, pre-transplant insulin requirements and dialysis status were analysed for variations between our two cohorts. Donor characteristics; age, sex, ethnic group, donor type (DBD/DCD), warm ischaemic time (WIT) and cold ischaemic time (CIT) were also analysed for variation.</p>
<p>Recipient survival and death-censored pancreas and kidney graft survival were analysed at 1, 3, 5 and 10&#xa0;years. Pancreas graft failure was defined by the recipient follow-up centre based on the resumption of insulin treatment. Kidney graft survival is defined as resumption of dialysis.</p>
<p>We further delineated our groups by BMI into; T1DM &#x3c; 30&#xa0;kg/m<sup>2</sup>, T1DM &#x3e; 30&#xa0;kg/m<sup>2</sup>, T2DM &#x3c; 30&#xa0;kg/m<sup>2</sup> and T2DM &#x3e; 30&#xa0;kg/m<sup>2</sup> and performed recipient survival and death-censored pancreas and kidney graft and patient survival at 10&#xa0;years. We also further delineated our groups by ethnic group into; T1DM-White, T1DM-BAME, T2DM-White, T2DM-BAME.</p>
<p>Any patient outside standard listing criteria is discussed through an exemptions panel. Expert opinion within this group guided potential listing.</p>
<p>Common complications after pancreas transplant were analysed between our two cohorts including; incidence of post-operative myocardial infarction (MI), cerebrovascular accident (CVA), anastomotic leak, urinary tract infection (UTI), systemic infection (further delineated into bacterial, viral or fungal), pancreatitis, rejection at 3&#xa0;months and resumed insulin use at 1&#xa0;year.</p>
<p>This study aims and methodology were submitted to the NHS Blood and Transplant Research Advisory Group (RAG) and approved prior to gaining access to the registry data.</p>
<sec id="s2-1">
<title>Statistical Analysis</title>
<p>Recipient characteristics were delineated by aetiology of diabetes and stratified by age, sex, body mass index (BMI), ethnic group, waiting time on the transplantation list, pre-transplantation insulin requirement, and dialysis status. These are all reported as percentages or means &#xb1; standard deviation. Donor characteristics were also delineated by aetiology of diabetes and stratified by age, sex, ethnic group, donor type (DBD/DCD), WIT and CIT and were reported as percentages or means &#xb1; standard deviation.</p>
<p>Univariate analysis of pancreas graft, kidney graft and patient survival were performed using Kaplan Meier survival plots and <italic>p</italic>-values derived from the log-rank test. A cox regression model was used for multivariable survival analysis. Our multivariable model was built using variables that had previously been reported to have a detrimental impact on graft or patient survival (cold ischaemic time, dialysis status). The incidence of common post-operative complications underwent chi-squared analysis. All analyses were performed using GraphPad Prism 9.0 and IBM SPSS statistics version 28. All tests were two-sided and <italic>p</italic> values &#x3c;0.05 were considered significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>The majority, (95.6%) of simultaneous pancreas and kidney (SPK) transplants were performed in recipients with Type 1 diabetes mellitus (T1DM) (<italic>n</italic> &#x3d; 2,060). Only 3.4% (<italic>n</italic> &#x3d; 94) of SPK transplants have been performed between 2003 and 2019 in recipients with type 2 diabetes mellitus (T2DM). Over the past 15&#xa0;years we have seen an increasing trend in the percentage of SPK transplants being performed in T2DM recipients (1.6% in 2004 to 5.8% in 2018), <xref ref-type="table" rid="T1">Table 1</xref>. However, numbers remain comparatively small when compared to T1DM recipients. The median follow-up of all patients in this study was 1900&#xa0;days, which was until death in 193 patients (8.96%).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Number of SPK transplants performed per year.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Year</th>
<th align="center">T1DM</th>
<th align="center">T2DM</th>
</tr>
<tr>
<th align="center">
<italic>n</italic> &#x3d; 2,060</th>
<th align="center">
<italic>n</italic> &#x3d; 94</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">2004</td>
<td align="center">62 (98.41%)</td>
<td align="center">1 (1.59%)</td>
</tr>
<tr>
<td align="left">2005</td>
<td align="center">86 (97.73%)</td>
<td align="center">2 (2.27%)</td>
</tr>
<tr>
<td align="left">2006</td>
<td align="center">114 (94.21%)</td>
<td align="center">7 (5.79%)</td>
</tr>
<tr>
<td align="left">2007</td>
<td align="center">174 (97.21%)</td>
<td align="center">5 (2.79%)</td>
</tr>
<tr>
<td align="left">2008</td>
<td align="center">136 (96.45%)</td>
<td align="center">5 (3.55%)</td>
</tr>
<tr>
<td align="left">2009</td>
<td align="center">132 (95.65%)</td>
<td align="center">6 (4.35%)</td>
</tr>
<tr>
<td align="left">2010</td>
<td align="center">133 (99.25%)</td>
<td align="center">1 (0.75%)</td>
</tr>
<tr>
<td align="left">2011</td>
<td align="center">140 (95.89%)</td>
<td align="center">6 (4.11%)</td>
</tr>
<tr>
<td align="left">2012</td>
<td align="center">150 (95.54%)</td>
<td align="center">7 (4.46%)</td>
</tr>
<tr>
<td align="left">2013</td>
<td align="center">158 (93.49%)</td>
<td align="center">11 (6.51%)</td>
</tr>
<tr>
<td align="left">2014</td>
<td align="center">147 (96.08%)</td>
<td align="center">6 (3.92%)</td>
</tr>
<tr>
<td align="left">2015</td>
<td align="center">138 (94.52%)</td>
<td align="center">8 (5.48%)</td>
</tr>
<tr>
<td align="left">2016</td>
<td align="center">126 (91.97%)</td>
<td align="center">11 (8.03%)</td>
</tr>
<tr>
<td align="left">2017</td>
<td align="center">132 (95.65%)</td>
<td align="center">6 (4.35%)</td>
</tr>
<tr>
<td align="left">2018</td>
<td align="center">131 (94.24%)</td>
<td align="center">8 (5.76%)</td>
</tr>
<tr>
<td align="left">2019</td>
<td align="center">101 (96.19%)</td>
<td align="center">4 (3.81%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>T1DM, type 1 diabetes mellitus; T2DM, type 2 diabetes mellitus.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3-1">
<title>Clinical Characteristics of Recipients</title>
<p>Recipients with T1DM and T2DM were comparable in terms of time on the waiting list and pre-transplant insulin requirements. Recipients with T2DM were more likely to be older (<italic>p</italic> &#x3c; 0.0001&#x2a;&#x2a;&#x2a;), male (<italic>p</italic> &#x3c; 0.0001&#x2a;&#x2a;&#x2a;), have a higher BMI (<italic>p</italic> &#x3d; 0.0223&#x2a;), be from BAME communities (<italic>p</italic> &#x3c; 0.0001&#x2a;&#x2a;&#x2a;), <xref ref-type="table" rid="T2">Table 2</xref>. Our dataset contained 176 recipients with a BMI &#x3e;30&#xa0;kg/m<sup>2</sup>. 168 (95.1%) had T1DM and 8 (4.9%) had T2DM. Those patients outside standard criteria are evaluated within an exemptions committee.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Recipient characteristics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Recipient characteristic</th>
<th align="center">T1DM</th>
<th align="center">T2DM</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (years)</td>
<td align="center">41.88 &#xb1; 8.33</td>
<td align="center">47.46 &#xb1; 787</td>
<td align="center">&#x3c;0.0001&#x2a;&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">Sex (%)</td>
<td align="left"/>
<td align="left"/>
<td align="center">&#x3c;0.0001&#x2a;&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="center">1,189 (57.7%)</td>
<td align="center">75 (79.8%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="center">871 (42.3%)</td>
<td align="center">19 (20.2%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">BMI (Range)</td>
<td align="center">24.77 &#xb1; 3.85 (10&#x2013;36.9)</td>
<td align="center">25.84 &#xb1; 3.76 (19.7&#x2013;34.4)</td>
<td align="center">0.0223&#x2a;</td>
</tr>
<tr>
<td align="left">Ethnic Group (%)</td>
<td align="left"/>
<td align="left"/>
<td align="center">&#x3c;0.0001&#x2a;&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;White</td>
<td align="center">1,863 (91.1%)</td>
<td align="center">41 (43.1%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;BAME</td>
<td align="center">182 (8.9%)</td>
<td align="center">54 (56.8%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Waiting time for transplant (days)</td>
<td align="center">424.8 &#xb1; 369.2</td>
<td align="center">372.9 &#xb1; 332.6</td>
<td align="center">0.144</td>
</tr>
<tr>
<td align="left">Pre-transplantation Insulin Requirement (units)</td>
<td align="center">44.84 &#xb1; 19.39</td>
<td align="center">44.76 &#xb1; 21.33</td>
<td align="center">0.974</td>
</tr>
<tr>
<td align="left">Dialysis status (%)</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.052</td>
</tr>
<tr>
<td align="left">&#x2003;Haemodialysis</td>
<td align="center">693 (33.9%)</td>
<td align="center">40 (42.5%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Peritoneal</td>
<td align="center">515 (25.1%)</td>
<td align="center">15 (15.9%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Not on dialysis</td>
<td align="center">838 (41.0%)</td>
<td align="center">39 (41.4%)</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data shown as number or mean &#xb1; SD or percentage. BAME, Black, Asian and minority ethnic.</p>
</fn>
<fn>
<p>&#x2a; <italic>p</italic> &#x2264; 0.05, &#x2a;&#x2a;&#x2a;&#x2a; <italic>p</italic> &#x2264; 0.0001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Clinical Characteristics of Donors</title>
<p>Donors were comparable with no statistically significant parameters found between our two cohorts when analysing for donor sex, age, ethnic group and donor type (DBD/DCD). Warm ischaemic time (WIT) and cold ischaemic time (CIT) were also similar between the two groups, <xref ref-type="table" rid="T3">Table 3</xref>.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Donor characteristics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Donor characteristic</th>
<th align="center">T1DM</th>
<th align="center">T2DM</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (years)</td>
<td align="center">34.88 &#xb1; 13.44</td>
<td align="center">36.91 &#xb1; 13.86</td>
<td align="center">0.166</td>
</tr>
<tr>
<td align="left">Sex (%)</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.198</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="center">1,038 (50.4%)</td>
<td align="center">41 (43.6%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="center">1,021 (49.6%)</td>
<td align="center">53 (56.4%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Ethnic Group (%)</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.842</td>
</tr>
<tr>
<td align="left">&#x2003;White</td>
<td align="center">1,892 (93.9%)</td>
<td align="center">84 (93.3%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;BAME</td>
<td align="center">124 (6.1%)</td>
<td align="center">6 (6.7%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Donor Type (%)</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.562</td>
</tr>
<tr>
<td align="left">&#x2003;DBD</td>
<td align="center">1,692 (82.1%)</td>
<td align="center">75 (79.8%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;DCD</td>
<td align="center">368 (17.9%)</td>
<td align="center">19 (20.2%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Warm Ischaemic Time (mins)</td>
<td align="center">45.39 &#xb1; 71.61</td>
<td align="center">53.15 &#xb1; 83.81</td>
<td align="center">0.420</td>
</tr>
<tr>
<td align="left">Cold Ischaemic Time (mins)</td>
<td align="center">709.3 &#xb1; 252.6</td>
<td align="center">756.3 &#xb1; 224.6</td>
<td align="center">0.059</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data shown as number &#x2b; percentage. BAME, Black, Asian and minority ethnic; DBD, donation after brainstem death; DCD, donation after circulatory death.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Univariate Analysis of the Impact of Diabetes Aetiology on Graft and Patient Survival</title>
<p>Death-censored survival analyses were performed using Kaplan Meier plots and revealed no statistically significant difference in pancreas graft survival at 1&#xa0;year (<italic>p</italic> &#x3d; 0.120), 3&#xa0;years (<italic>p</italic> &#x3d; 0.316), 5&#xa0;years (<italic>p</italic> &#x3d; 0.451), or 10&#xa0;years (<italic>p</italic> &#x3d; 0.196), <xref ref-type="fig" rid="F1">Figure 1</xref>. There were also comparable rates of kidney graft survival at 1&#xa0;year (<italic>p</italic> &#x3d; 0.438), 3&#xa0;years (<italic>p</italic> &#x3d; 0.548), 5&#xa0;years (<italic>p</italic> &#x3d; 0.920), and 10&#xa0;years (<italic>p</italic> &#x3d; 0.947), <xref ref-type="fig" rid="F1">Figure 1</xref>. When analysing patient survival, again no statistically significant difference was seen at 1 year (<italic>p</italic> &#x3d; 0.886), or 3&#xa0;years (<italic>p</italic> &#x3d; 0.237), <xref ref-type="fig" rid="F1">Figure 1</xref>. There was a statistically significant difference at 5&#xa0;years (<italic>p</italic> &#x3d; 0.028&#x2a;), which showed poorer survival in those with T2DM. This trend was not borne out long-term as survival rates were comparable at 10&#xa0;years (<italic>p</italic> &#x3d; 0.161). <italic>p</italic> values and percentage survival were amalgamated into <xref ref-type="table" rid="T4">Table 4</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Death-censored Kaplan-Meier analysis of 1&#xa0;year pancreas graft, kidney graft and patient survival, T1DM recipients compared with T2DM recipients.</p>
</caption>
<graphic xlink:href="ti-36-11792-g001.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Percentage graft and patient survival at 1, 3, 5, and 10&#xa0;years.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="2" align="left"/>
<th align="center">T1DM</th>
<th align="center">T2DM</th>
<th align="center">
<italic>p</italic>-Value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left">Pancreas Graft Loss</td>
<td rowspan="3" align="left">1&#xa0;year</td>
<td align="center">89.9%</td>
<td align="center">84.9%</td>
<td rowspan="3" align="center">0.120</td>
</tr>
<tr>
<td align="center">(95% CI 91.1&#x2013;88.5)</td>
<td align="center">(95% CI 90.7&#x2013;75.8)</td>
</tr>
<tr>
<td align="center">
<italic>n</italic> &#x3d; 1,676</td>
<td align="center">
<italic>n</italic> &#x3d; 75</td>
</tr>
<tr>
<td rowspan="3" align="left">3&#xa0;years</td>
<td align="center">85.4%</td>
<td align="center">82.0%</td>
<td rowspan="3" align="center">0.316</td>
</tr>
<tr>
<td rowspan="7" align="left">
<italic>n</italic> &#x3d; number at risk</td>
<td align="center">(95% CI 86.9&#x2013;83.7)</td>
<td align="center">(95% CI 88.6&#x2013;72.2)</td>
</tr>
<tr>
<td align="center">
<italic>n</italic> &#x3d; 1,305</td>
<td align="center">
<italic>n</italic> &#x3d; 54</td>
</tr>
<tr>
<td rowspan="3" align="left">5&#xa0;years</td>
<td align="center">81.8%</td>
<td align="center">79.8%</td>
<td rowspan="3" align="center">0.451</td>
</tr>
<tr>
<td align="center">(95% CI 83.5&#x2013;79.9)</td>
<td align="center">(95% CI 87.2&#x2013;69.0)</td>
</tr>
<tr>
<td align="center">
<italic>n</italic> &#x3d; 1,009</td>
<td align="center">
<italic>n</italic> &#x3d; 32</td>
</tr>
<tr>
<td rowspan="2" align="left">10&#xa0;years</td>
<td align="center">72.7%</td>
<td align="center">68.7%</td>
<td rowspan="2" align="center">0.196</td>
</tr>
<tr>
<td align="center">(95% CI 75.1&#x2013;70.1)</td>
<td align="center">(95% CI 80.8&#x2013;51.8)</td>
</tr>
<tr>
<td colspan="2" align="center"/>
<td align="center">
<italic>n</italic> &#x3d; 406</td>
<td align="center">
<italic>n</italic> &#x3d; 12</td>
<td align="center"/>
</tr>
<tr>
<td rowspan="6" align="left">Kidney Graft Survival</td>
<td rowspan="3" align="left">1&#xa0;year</td>
<td align="center">97.6%</td>
<td align="center">98.9%</td>
<td rowspan="3" align="center">0.438</td>
</tr>
<tr>
<td align="center">(95% CI 98.2&#x2013;96.8)</td>
<td align="center">(95% CI 99.8&#x2013;92.3)</td>
</tr>
<tr>
<td align="center">
<italic>n</italic> &#x3d; 1822</td>
<td align="center">
<italic>n</italic> &#x3d; 84</td>
</tr>
<tr>
<td rowspan="3" align="left">3&#xa0;years</td>
<td align="center">92.2%</td>
<td align="center">95.2%</td>
<td rowspan="3" align="center">0.548</td>
</tr>
<tr>
<td align="center">(95% CI 93.2&#x2013;91.0)</td>
<td align="center">(95% CI 98.2&#x2013;87.7)</td>
</tr>
<tr>
<td align="center">
<italic>n</italic> &#x3d; 1,450</td>
<td align="center">
<italic>n</italic> &#x3d; 63</td>
</tr>
<tr>
<td rowspan="5" align="left">
<italic>n</italic> &#x3d; number at risk</td>
<td rowspan="3" align="left">5&#xa0;years</td>
<td align="center">91.3%</td>
<td align="center">91.7%</td>
<td rowspan="3" align="center">0.920</td>
</tr>
<tr>
<td align="center">(95% CI 92.6&#x2013;89.8)</td>
<td align="center">(95% CI 96.3&#x2013;82.1)</td>
</tr>
<tr>
<td align="center">
<italic>n</italic> &#x3d; 1,143</td>
<td align="center">
<italic>n</italic> &#x3d; 40</td>
</tr>
<tr>
<td rowspan="2" align="left">10&#xa0;years</td>
<td align="center">78.9%</td>
<td align="center">77.2%</td>
<td rowspan="2" align="center">0.947</td>
</tr>
<tr>
<td align="center">(95% CI 81.3&#x2013;76.2)</td>
<td align="center">(95% CI 88.3&#x2013;58.3)</td>
</tr>
<tr>
<td colspan="2" align="center"/>
<td align="center">
<italic>n</italic> &#x3d; 440</td>
<td align="center">
<italic>n</italic> &#x3d; 14</td>
<td align="center"/>
</tr>
<tr>
<td rowspan="4" align="left">Patient Survival</td>
<td rowspan="3" align="left">1&#xa0;year</td>
<td align="center">96.8%</td>
<td align="center">96.5</td>
<td rowspan="3" align="center">0.886</td>
</tr>
<tr>
<td align="center">(95% CI 97.5&#x2013;95.5)</td>
<td align="center">(95% CI 98.8&#x2013;89.6)</td>
</tr>
<tr>
<td align="center">
<italic>n</italic> &#x3d; 1764</td>
<td align="center">
<italic>n</italic> &#x3d; 77</td>
</tr>
<tr>
<td rowspan="3" align="left">3&#xa0;years</td>
<td align="center">93.2%</td>
<td align="center">89.3%</td>
<td rowspan="3" align="center">0.237</td>
</tr>
<tr>
<td rowspan="8" align="left">
<italic>n</italic> &#x3d; number at risk</td>
<td align="center">(95% CI 94.3&#x2013;91.9)</td>
<td align="center">(95% CI 94.5&#x2013;79.6)</td>
</tr>
<tr>
<td align="center">
<italic>n</italic> &#x3d; 1,398</td>
<td align="center">
<italic>n</italic> &#x3d; 58</td>
</tr>
<tr>
<td rowspan="3" align="left">5&#xa0;years</td>
<td align="center">89.4%</td>
<td align="center">79.2%</td>
<td rowspan="3" align="center">0.028&#x2a;</td>
</tr>
<tr>
<td align="center">(95% CI 90.8&#x2013;87.8)</td>
<td align="center">(95% CI 87.6&#x2013;66.2)</td>
</tr>
<tr>
<td align="center">
<italic>n</italic> &#x3d; 1,084</td>
<td align="center">
<italic>n</italic> &#x3d; 33</td>
</tr>
<tr>
<td rowspan="3" align="left">10&#xa0;years</td>
<td align="center">74.8%</td>
<td align="center">73.1%</td>
<td rowspan="3" align="center">0.161</td>
</tr>
<tr>
<td align="center">(95% CI 77.4&#x2013;71.9)</td>
<td align="center">(95% CI 85.0&#x2013;54.7)</td>
</tr>
<tr>
<td align="center">
<italic>n</italic> &#x3d; 442</td>
<td align="center">
<italic>n</italic> &#x3d; 13</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data shown as percentage with 95% confidence intervals. Number at risk depicts how many recipients with follow up at that time period.</p>
</fn>
<fn>
<p>&#x2a; <italic>p</italic> &#x2264; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>A further analysis was performed further stratifying the two diabetes groups into those with a BMI &#x2264;30&#xa0;kg/m<sup>2</sup>, and those with a BMI &#x3e;30&#xa0;kg/m<sup>2</sup>. A complete case analysis was used and cases without information pertaining to BMI were excluded. In total 176 (8.2%) recipients had a BMI &#x3e;30&#xa0;kg/m<sup>2</sup>. Of the 176, 168 (95.5%) had T1DM and 8 (4.5%) had T2DM, <xref ref-type="table" rid="T5">Table 5</xref>. Although numbers are small in T2DM patients there was no statistically significant difference in pancreas graft (<italic>p</italic> &#x3d; 0.200) or kidney graft (<italic>p</italic> &#x3d; 0.684) survival was found between these groups. However, a statistically significant decrease in patient survival was seen in our recipients with T2DM and a BMI &#x3e;30 compared with the other categories. (<italic>p</italic> &#x3d; 0.002&#x2a;&#x2a;), <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>WHO classification of recipient BMI.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Category</th>
<th rowspan="2" align="center">BMI (kg/m<sup>2</sup>)</th>
<th align="center">T1DM</th>
<th align="center">T2DM</th>
</tr>
<tr>
<th align="center">
<italic>n</italic> &#x3d; 1,614</th>
<th align="center">
<italic>n</italic> &#x3d; 72</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Underweight</td>
<td align="center">16&#x2013;18.5</td>
<td align="center">39 (2.42%)</td>
<td align="center">1 (1.39%)</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">18.5&#x2013;25</td>
<td align="center">853 (52.85%)</td>
<td align="center">29 (40.28%)</td>
</tr>
<tr>
<td align="left">Overweight</td>
<td align="center">25&#x2013;30</td>
<td align="center">554 (34.32%)</td>
<td align="center">34 (47.22%)</td>
</tr>
<tr>
<td align="left">Obese</td>
<td align="center">&#x3e;30</td>
<td align="center">168 (10.41%)</td>
<td align="center">8 (11.11%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data shown as mean &#xb1; SD or percentage.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Death-censored Kaplan-Meier analysis of 10&#xa0;years pancreas graft, kidney graft and patient survival, T1DM recipients compared with T2DM recipients, further stratified by BMI. <italic>n</italic> &#x3d; 528 had missing data for BMI so were not included in this analysis.</p>
</caption>
<graphic xlink:href="ti-36-11792-g002.tif"/>
</fig>
<p>We also delineated our diabetes groups by ethnicity and found comparable outcomes for pancreas graft survival (<italic>p</italic> &#x3d; 0.224), kidney graft survival (<italic>p</italic> &#x3d; 0.873) and patient (<italic>p</italic> &#x3d; 0.866) survival, <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Death-censored Kaplan-Meier analysis of 10&#xa0;years pancreas graft, kidney graft and patient survival, T1DM recipients compared with T2DM recipients, further stratified by ethnicity. W-White, BAME&#x2013;Black, Asian and minority ethnic.</p>
</caption>
<graphic xlink:href="ti-36-11792-g003.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>Multivariate Analysis of the Impact of Diabetes Aetiology on Graft and Patient Survival</title>
<p>It is important to understand the impact of the type of diabetes within the context of multiple donor and recipient factors. As such, a multivariate analysis was built, including parameters known to influence recipient outcomes. Diabetes type in this multivariate analysis showed no statistically significant impact on pancreas graft survival (HR 1.221, 95% CI 0.619&#x2013;2.406, <italic>p</italic> &#x3d; 0.564) <xref ref-type="table" rid="T6">Table 6</xref>, kidney graft survival (HR 0.953, 95% CI 0.372&#x2013;2.439, <italic>p</italic> &#x3d; 0.920), <xref ref-type="table" rid="T7">Table 7</xref>, or patient survival (HR 1.280, 95% CI 0.565&#x2013;2.911, <italic>p</italic> &#x3d; 0.556) <xref ref-type="table" rid="T8">Table 8</xref>. The multivariate did show that recipient age (HR 0.965, 95% CI 0.951&#x2013;0.980, <italic>p</italic> &#x3c; 0.001), recipient BMI (HR 1.049, 95% CI 1.016&#x2013;1.082, <italic>p</italic> &#x3d; 0.004) and donor age (HR 1.008, 95% CI 1.008&#x2013;1.029, <italic>p</italic> &#x3c; 0.001) were statistically significant variables that affected pancreas graft survival. Recipient age also statistically significantly affected kidney graft survival (HR 0.973, 95% CI 0.955&#x2013;0.991, <italic>p</italic> &#x3d; 0.003) and patient survival (HR 1.042, 95% CI 1.024&#x2013;1.061, <italic>p</italic> &#x3c; 0.001).</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Multivariable analysis of pancreas graft survival.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">Hazards ratio</th>
<th align="center">95.0% CI</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Recipient Age</td>
<td align="center">0.965</td>
<td align="center">(0.951&#x2013;0.980)</td>
<td align="center">&#x3c;0.001&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">Recipient BMI</td>
<td align="center">1.049</td>
<td align="center">(1.016&#x2013;1.082)</td>
<td align="center">0.004&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">Recipient Sex</td>
<td align="center">0.850</td>
<td align="center">(0.665&#x2013;1.087)</td>
<td align="center">0.195</td>
</tr>
<tr>
<td align="left">Recipient Ethnicity</td>
<td align="center">0.808</td>
<td align="center">(0.533&#x2013;1.226)</td>
<td align="center">0.316</td>
</tr>
<tr>
<td align="left">Dialysis Status</td>
<td align="center">1.162</td>
<td align="center">(0.812&#x2013;1.073)</td>
<td align="center">0.284</td>
</tr>
<tr>
<td align="left">Type of Diabetes</td>
<td align="center">1.221</td>
<td align="center">(0.619&#x2013;2.406)</td>
<td align="center">0.564</td>
</tr>
<tr>
<td align="left">Donor Age</td>
<td align="center">1.019</td>
<td align="center">(1.008&#x2013;1.029)</td>
<td align="center">&#x3c;0.001&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">Donor BMI</td>
<td align="center">0.995</td>
<td align="center">(0.960&#x2013;1.032)</td>
<td align="center">0.787</td>
</tr>
<tr>
<td align="left">Donor Sex</td>
<td align="center">0.935</td>
<td align="center">(0.729&#x2013;1.200)</td>
<td align="center">0.598</td>
</tr>
<tr>
<td align="left">Donor Ethnicity</td>
<td align="center">0.928</td>
<td align="center">(0.580&#x2013;1.485)</td>
<td align="center">0.757</td>
</tr>
<tr>
<td align="left">Donor Type (DCD Vs. DBD)</td>
<td align="center">0.917</td>
<td align="center">(0.660&#x2013;1.274)</td>
<td align="center">0.605</td>
</tr>
<tr>
<td align="left">Warm Ischaemic Time (mins)</td>
<td align="center">1.000</td>
<td align="center">(0.999&#x2013;1.001)</td>
<td align="center">0.844</td>
</tr>
<tr>
<td align="left">Cold Ischaemic Time (mins)</td>
<td align="center">1.001</td>
<td align="center">(1.000&#x2013;1.002)</td>
<td align="center">0.010</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; DBD, donation after brainstem death; DCD, donation after circulatory death.</p>
</fn>
<fn>
<p>&#x2a;&#x2a; <italic>p</italic> &#x2264; 0.01, &#x2a;&#x2a;&#x2a; <italic>p</italic> &#x2264; 0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T7" position="float">
<label>TABLE 7</label>
<caption>
<p>Multivariable analysis of kidney graft survival.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">Hazards ratio</th>
<th align="center">95.0% CI</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Recipient Age</td>
<td align="center">0.973</td>
<td align="center">(0.955&#x2013;0.991)</td>
<td align="center">0.003</td>
</tr>
<tr>
<td align="left">Recipient BMI</td>
<td align="center">1.015</td>
<td align="center">(0.974&#x2013;1.058)</td>
<td align="center">0.472</td>
</tr>
<tr>
<td align="left">Recipient Sex</td>
<td align="center">0.729</td>
<td align="center">(0.545&#x2013;0.975)</td>
<td align="center">0.033</td>
</tr>
<tr>
<td align="left">Recipient Ethnicity</td>
<td align="center">0.939</td>
<td align="center">(0.568&#x2013;1.552)</td>
<td align="center">0.806</td>
</tr>
<tr>
<td align="left">Dialysis Status</td>
<td align="center">1.129</td>
<td align="center">(0.840&#x2013;1.517)</td>
<td align="center">0.420</td>
</tr>
<tr>
<td align="left">Type of Diabetes</td>
<td align="center">0.953</td>
<td align="center">(0.372&#x2013;2.439)</td>
<td align="center">0.920</td>
</tr>
<tr>
<td align="left">Donor Age</td>
<td align="center">1.013</td>
<td align="center">(1.000&#x2013;1.025)</td>
<td align="center">0.045</td>
</tr>
<tr>
<td align="left">Donor BMI</td>
<td align="center">1.000</td>
<td align="center">(0.958&#x2013;1.044)</td>
<td align="center">0.991</td>
</tr>
<tr>
<td align="left">Donor Sex</td>
<td align="center">1.057</td>
<td align="center">(0.780&#x2013;1.432)</td>
<td align="center">0.722</td>
</tr>
<tr>
<td align="left">Donor Ethnicity</td>
<td align="center">0.953</td>
<td align="center">(0.486&#x2013;1.867)</td>
<td align="center">0.887</td>
</tr>
<tr>
<td align="left">Donor Type (DCD Vs. DBD)</td>
<td align="center">1.183</td>
<td align="center">(0.801&#x2013;1.748)</td>
<td align="center">0.398</td>
</tr>
<tr>
<td align="left">Warm Ischaemic Time (mins)</td>
<td align="center">1.001</td>
<td align="center">(1.000&#x2013;1.002)</td>
<td align="center">0.122</td>
</tr>
<tr>
<td align="left">Cold Ischaemic Time (mins)</td>
<td align="center">1.024</td>
<td align="center">(0.976&#x2013;1.073)</td>
<td align="center">0.336</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; DBD, donation after brainstem death; DCD, donation after circulatory death.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T8" position="float">
<label>TABLE 8</label>
<caption>
<p>Multivariable analysis of patient survival.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">Hazards ratio</th>
<th align="center">95.0% CI</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Recipient Age</td>
<td align="center">1.042</td>
<td align="center">(1.024&#x2013;1.061)</td>
<td align="center">&#x3c;0.001&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">Recipient BMI</td>
<td align="center">1.017</td>
<td align="center">(0.981&#x2013;1.055)</td>
<td align="center">0.349</td>
</tr>
<tr>
<td align="left">Recipient Sex</td>
<td align="center">1.229</td>
<td align="center">(0.920&#x2013;1.641)</td>
<td align="center">0.163</td>
</tr>
<tr>
<td align="left">Recipient Ethnicity</td>
<td align="center">0.488</td>
<td align="center">(0.246&#x2013;0.965)</td>
<td align="center">0.039</td>
</tr>
<tr>
<td align="left">Dialysis Status</td>
<td align="center">1.840</td>
<td align="center">(0.692&#x2013;0.967)</td>
<td align="center">0.788</td>
</tr>
<tr>
<td align="left">Type of Diabetes</td>
<td align="center">1.280</td>
<td align="center">(0.563&#x2013;2.911)</td>
<td align="center">0.556</td>
</tr>
<tr>
<td align="left">Donor Age</td>
<td align="center">1.009</td>
<td align="center">(0.997&#x2013;1.021)</td>
<td align="center">0.164</td>
</tr>
<tr>
<td align="left">Donor BMI</td>
<td align="center">0.988</td>
<td align="center">(0.947&#x2013;1.030)</td>
<td align="center">0.558</td>
</tr>
<tr>
<td align="left">Donor Sex</td>
<td align="center">0.900</td>
<td align="center">(0.667&#x2013;1.213)</td>
<td align="center">0.487</td>
</tr>
<tr>
<td align="left">Donor Ethnicity</td>
<td align="center">0.728</td>
<td align="center">(0.372&#x2013;1.428)</td>
<td align="center">0.356</td>
</tr>
<tr>
<td align="left">Donor Type (DCD Vs. DBD)</td>
<td align="center">0.818</td>
<td align="center">(0.523&#x2013;1.279)</td>
<td align="center">0.379</td>
</tr>
<tr>
<td align="left">Warm Ischaemic Time (mins)</td>
<td align="center">1.000</td>
<td align="center">(0.998&#x2013;1.001)</td>
<td align="center">0.839</td>
</tr>
<tr>
<td align="left">Cold Ischaemic Time (mins)</td>
<td align="center">1.001</td>
<td align="center">(1.000&#x2013;1.001)</td>
<td align="center">0.117</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; DBD, donation after brainstem death; DCD, donation after circulatory death.</p>
</fn>
<fn>
<p>&#x002A;&#x002A; p &#x2264; 0.01.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-5">
<title>Incidence of Complications Stratified by Diabetes Aetiology</title>
<p>Complications after transplantation can pose a significant burden on the recipient as well as affect survival outcomes. Common complications after pancreas transplant, including incidence of post-operative myocardial infarction (MI), cerebrovascular accident (CVA), anastomotic leak, urinary tract infection (UTI), systemic infection (further delineated into bacterial, viral or fungal), pancreatitis, rejection at 3&#xa0;months and resumed insulin use at 1 and 5&#xa0;years. There was no statistically significant difference between recipients with T1DM or T2DM between any of the above parameters, <xref ref-type="table" rid="T9">Table 9</xref>. Incidence of graft failure caused by vascular thrombosis was analysed. 184 grafts failed in the T1DM group within 120&#xa0;days of transplant. Of these 61 (33%) were due to vascular thrombosis. In the T2DM group 11 grafts failed and 2 (18%) were due to vascular thrombosis.</p>
<table-wrap id="T9" position="float">
<label>TABLE 9</label>
<caption>
<p>Analysis of common complications after SPK transplants.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Complications three month follow up</th>
<th align="center">T1DM</th>
<th align="center">T2DM</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th align="center">
<italic>n</italic> &#x3d; 2,060</th>
<th align="center">
<italic>n</italic> &#x3d; 94</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Myocardial Infarction</td>
<td align="center">15</td>
<td align="center">1</td>
<td align="center">0.715</td>
</tr>
<tr>
<td align="left">Cerebrovascular Accident</td>
<td align="center">9</td>
<td align="center">0</td>
<td align="center">0.520</td>
</tr>
<tr>
<td align="left">Anastomotic Leak</td>
<td align="center">64</td>
<td align="center">2</td>
<td align="center">0.574</td>
</tr>
<tr>
<td align="left">UTI</td>
<td align="center">97</td>
<td align="center">9</td>
<td align="center">0.804</td>
</tr>
<tr>
<td align="left">Systemic Infection</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;- Viral</td>
<td align="center">9</td>
<td align="center">1</td>
<td align="center">0.371</td>
</tr>
<tr>
<td align="left">&#x2003;- Bacterial</td>
<td align="center">66</td>
<td align="center">5</td>
<td align="center">0.176</td>
</tr>
<tr>
<td align="left">&#x2003;- Fungal</td>
<td align="center">12</td>
<td align="center">0</td>
<td align="center">0.453</td>
</tr>
<tr>
<td align="left">Pancreatitis</td>
<td align="center">49</td>
<td align="center">2</td>
<td align="center">0.895</td>
</tr>
<tr>
<td align="left">Rejection at 3&#xa0;months</td>
<td align="center">133</td>
<td align="center">5</td>
<td align="center">0.556</td>
</tr>
<tr>
<td align="left">One year follow up</td>
<td align="center">
<italic>n</italic> &#x3d; 1,084</td>
<td align="center">
<italic>n</italic> &#x3d; 33</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Resumed insulin use at 1&#xa0;year</td>
<td align="center">113</td>
<td align="center">3</td>
<td align="center">0.401</td>
</tr>
<tr>
<td align="left">Five year follow up</td>
<td align="center">
<italic>n</italic> &#x3d; 442</td>
<td align="center">
<italic>n</italic> &#x3d; 13</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Resumed insulin use at 5&#xa0;years</td>
<td align="center">104</td>
<td align="center">1</td>
<td align="center">0.163</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>UTI, urinary tract infection.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In the UK categorisation of diabetes is primarily a clinical diagnosis. For a diagnosis of T1DM, the current criteria includes; hyperglycaemia (random plasma glucose &#x3e;11&#xa0;mmol) with one or more of the following features; ketosis, rapid weight loss, age &#x3c;50, BMI &#x3c; 25&#xa0;kg/m<sup>2</sup> and/or a personal/family history of autoimmune disease [<xref ref-type="bibr" rid="B15">15</xref>]. For a diagnosis of T2DM, the patient should have persistent hyperglycaemia (inferred using a HbA1c &#x3e; 48&#xa0;mmol/mol as a surrogate marker) [<xref ref-type="bibr" rid="B16">16</xref>], symptoms of; polyuria, polydipsia, unexplained weight loss, recurrent infections or tiredness in the context of known risk factors (i.e., obesity, family history, ethnicity, metabolic syndrome) and the absence of T1DM features (i.e., rapid onset, young age, insulin dependence, ketoacidosis). Unlike other countries, biomarkers such as auto-antibodies or c-peptide are not routinely used for diagnosis or classification in the United Kingdom. The National Institute of Health and Care Excellence (NICE) guidance on diagnosis of diabetes (updated in 2022) recommends using clinical features to make the diagnosis of diabetes, to not routinely use C-peptide, and if using diabetes-specific autoantibodies to take into account the false negative rate of this test [<xref ref-type="bibr" rid="B15">15</xref>].</p>
<p>Irrespective of how a patient&#x2019;s diabetes is classified the unifying result is hyperglycaemia which leads to down-stream micro and macrovascular complications. Early detection and changing medical management of diabetes mellitus undoubtedly helps delay the onset of complications associated with hyperglycaemia however, retinopathy, vasculopathy and nephropathy still remain serious and common afflictions in these patients [<xref ref-type="bibr" rid="B6">6</xref>]. Pancreas transplant remains the only realistic, long-term insulin-independent treatment for diabetes [<xref ref-type="bibr" rid="B10">10</xref>]. During 2020 there were 198 patients on the UK SPK transplant waiting list compared to 16 who need simultaneous islet and kidney (SIK) transplant [<xref ref-type="bibr" rid="B17">17</xref>]. Although the indications are the same the patient groups are likely to be different in terms of associated co-morbidities. SPK transplant is the favoured treatment in those that are fit when considering long-term insulin independence, this also applies to those patients with T2DM.</p>
<p>This study has shown comparable death censored pancreas graft survival and kidney graft survival after simultaneous pancreas and kidney transplants regardless of type of diabetes with the caveat that the diagnosis and type of diabetes was pre-defined by the listing centre using the UK criteria highlighted above. This study has also shown comparable patient survival at 1 and 3&#xa0;years regardless of diabetes type. Interestingly at 5&#xa0;years we see a statistically significant decrease in T2DM patient survival when compared to their T1DM counterparts. This trend is not borne out at 10&#xa0;years which again shows no statistically significant difference in patient survival. We believe this may be partly explained by the older, heavier T2DM having a poorer initial patient survival and the younger, lighter T2DM recipients surviving out to 10&#xa0;years.</p>
<p>In 2020, an American single-centre study (<italic>n</italic> &#x3d; 323) demonstrated comparable outcomes in terms of pancreas graft survival (death censored) and incidence of post transplantation diabetes mellitus (PTDM) between recipients with T2DM (<italic>n</italic> &#x3d; 39) compared with T1DM (<italic>n</italic> &#x3d; 284). Patients in this study were defined as T1DM and T2DM using clinical assessment at the time of initial evaluation as well as utilising a novel scoring system assessing; pre-transplant insulin requirement, pre-transplant fasting c-peptide levels (assigning a score of &#x2b;2 if C-peptide &#x3c;0.5&#xa0;ng/L, &#x2212;1 if 0.5&#x2013;2&#xa0;ng/L and &#x2212;2 if &#x3e;2&#xa0;ng/L), family history and the presence of diabetes-associated antibodies. A score from &#x2212;9 to &#x2b;9 was created, and a negative score correlated with T2DM and a positive score with T1DM [<xref ref-type="bibr" rid="B18">18</xref>]. This scoring system was not used in our study.</p>
<p>The largest reported study to date (<italic>n</italic> &#x3d; 6,756), utilised the United Network for Organ Sharing (UNOS) database. Again, the majority of patients (90.8%, <italic>n</italic> &#x3d; 6,141) had T1DM and only 8.2% of SPK transplant&#x2019;s were performed in T2DM (<italic>n</italic> &#x3d; 582). This study also showed no statistically significant difference in graft and patient survival in patients with T2DM [<xref ref-type="bibr" rid="B19">19</xref>]. Type of diabetes was predefined by the listing centre, and no further information regarding this was offered in this publication which makes it harder to draw any more useful detail between the two cohorts.</p>
<p>A smaller single centre study was reported in 2013 by an Austrian group (<italic>n</italic> &#x3d; 248) comparing T1DM undergoing SPK transplant (<italic>n</italic> &#x3d; 195) with T2DM SPK transplant (<italic>n</italic> &#x3d; 21) and T2DM kidney transplant alone (KTA) (<italic>n</italic> &#x3d; 32) [<xref ref-type="bibr" rid="B20">20</xref>]. They defined T2DM using detectable C-peptide levels. This study demonstrated comparable rates of graft survival between T1DM and T2DM recipients undergoing SPK. A statistically significant difference in patient survival was seen when comparing T2DM recipients (both SPK and KTA) with T1DM who underwent SPK (<italic>p</italic> &#x3c; 0.001). This finding contrasts with the other literature discussed. It is also important to note this paper does not differentiate KTA by donor brain death (DBD), donor circulatory death (DCD) or living related donor (LRD) making it difficult to interpret. However, there is a large American study utilising a National Registry for T2DM patients (<italic>n</italic> &#x3d; 37,117) where T2DM recipients were shown to have better statistically significant patient survival and kidney allograft survival after SPK when compared to those receiving a KTA alone, irrespective of whether the kidney was from a deceased donor or living donor [<xref ref-type="bibr" rid="B21">21</xref>].</p>
<p>A further single centre study in Argentina (<italic>n</italic> &#x3d; 45), showed no statistically significant difference in patient survival when comparing T1DM (<italic>n</italic> &#x3d; 35) to T2DM (<italic>n</italic> &#x3d; 11) after SPK. They classified patients type of diabetes clinically; those who were diagnosed in childhood, with a lower BMI and requiring immediate insulin treatment were classified as T1DM whereas patients who were diagnosed with diabetes aged &#x3e;30&#xa0;years/old and with metabolic features were classified as T2DM.</p>
<p>A final study from Washington classifying diabetes by C-peptide &#x3e;/&#x3c;0.8&#xa0;ng/mL (<italic>n</italic> &#x3d; 136) showed comparable outcomes between their Type and Type 2 recipients. They state that C-peptide status does not influence outcomes after SPK transplant and this treatment option should be offered regardless of their C-peptide level [<xref ref-type="bibr" rid="B22">22</xref>].</p>
<p>Whilst the majority (90%) of the UK diabetic population have T2DM, only 3.4% of this population had an SPK. Other countries have comparable proportions of T2DM; in the US 91% of the diabetic population have T2DM [<xref ref-type="bibr" rid="B23">23</xref>], in Germany 90%&#x2013;95% [<xref ref-type="bibr" rid="B24">24</xref>] and 90% in the Netherlands [<xref ref-type="bibr" rid="B25">25</xref>]. In 2010 the International Pancreas Transplant Registry, IPTR (which receives data from both UNOS and Eurotransplant) showed 8% of SPK&#x2019;s were performed in patients presumed to have T2DM [<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>]. Despite comparable proportions of T2DM within these national populations one can extrapolate that the percentage of SPKs performed in recipients with T2DM in the UK is well below that of our American and other European counterparts [<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B28">28</xref>]. However we accept there is no uniform consensus on the criteria used for a diagnosis of T2DM which could explain this observation.</p>
<p>From 2019&#x2013;2021 a consensus group was formed to deliberate on current pancreas transplant outcomes in an effort to provide evidence to support current practice (28), After removal of duplicate papers and by applying exclusion criteria, 31 studies regarding SPK in T2DM patients were reviewed. The consensus concluded that SPK transplant improved both quality of life and long-term survival in suitable T1DM and T2DM recipients. For T2DM, the authors state that evidence is insufficient to suggest SPK transplant provides greater survival when compared with living donor kidney transplant alone. We did not analyse solitary kidney transplants in this study and to our knowledge this analysis has never been done. It would be interesting to see if SPK transplant is better than PAK transplant with a living donor kidney for patients with T2DM. Numbers in our national dataset would be too small for a useful comparison.</p>
<p>From our cohort we can see that those patients who received a pancreas transplant with T2DM were more likely to be older, male and with a higher BMI. Factors associated with the development of T2DM are obesity and smoking [<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>] which have been typically associated with a male cohort [<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>]. Currently the UK SPK transplant patient selection policy contains a selection criteria of a BMI &#x3c;30&#xa0;kg/m<sup>2</sup> for T2DM recipients and does not define a BMI restriction for those with T1DM [<xref ref-type="bibr" rid="B8">8</xref>]. Although there is some selectively amongst UK centres where &#x3e;30&#xa0;kg/m<sup>2</sup> may be considered as a relative contra-indication by some.</p>
<p>In total 8.2% (<italic>n</italic> &#x3d; 176) of our cohort had a BMI &#x3e; 30&#xa0;kg/m<sup>2</sup>. A previous study from our group showed that whilst BMI does affect outcomes, those who received a pancreas transplant (SPK, PTA and PAK) with a BMI &#x3e; 30&#xa0;kg/m<sup>2</sup> had comparable outcomes with recipients with a BMI &#x3c; 30&#xa0;kg/m<sup>2</sup> and concluded that assigning a cut off of &#x3c;30&#xa0;kg/m<sup>2</sup> as a gatekeeper to pancreas transplantation had the potential to prevent good candidates accessing this treatment option [<xref ref-type="bibr" rid="B18">18</xref>,<xref ref-type="bibr" rid="B34">34</xref>]. For our study we delineated BMI by type of diabetes to better analyse the data in the context of this selection policy. 8.5% (<italic>n</italic> &#x3d; 8) of the SPK transplants performed in T2DM had a BMI &#x3e; 30&#xa0;kg/m<sup>2</sup>. As this goes against the standard selection policy their case went to an exemptions panel prior to being placed on the waiting list and so were excellent candidates in terms of other parameters. We saw no statistically significant difference in overall graft survival, however recipients with T2DM and a BMI &#x3e; 30&#xa0;kg/m<sup>2</sup> had poorer patient survival than the other categories. Whilst numbers are small in our T2DM &#x3e; 30&#xa0;kg/m<sup>2</sup> group, this would suggest that the combination of T2DM and obesity is of concern. Many T2DM patients are not obese and, in this study, have been shown to have comparable outcomes. Those with T1DM showed comparable graft and patient survival outcomes independent of BMI.</p>
<p>Our study also found that those patients with T2DM receiving a transplant were much more likely to be from a BAME (Black, Asian and minority ethnic) community rather than their T1DM counterparts. This is not unsurprising because from epidemiological studies we know that UK BAME communities have a 3&#x2013;5&#xd7; higher prevalence of T2DM with an earlier age of onset [<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>]. We further analysed our dataset to better understand the role ethnicity played in recipient outcomes. We found no statistically significant difference in either graft or patient survival regardless of ethnicity.</p>
<p>An analysis of common complications after pancreas transplantation was performed. This included incidence of myocardial infarction, cerebrovascular accident, anastomotic leaks, urinary tract infections, systemic infections, pancreatitis, graft rejection at 3&#xa0;months and resumed insulin use (at 1&#xa0;year and also 5&#xa0;years). Both T1DM and T2DM have been associated with an increased incidence of infection [<xref ref-type="bibr" rid="B37">37</xref>], poorer wound healing [<xref ref-type="bibr" rid="B38">38</xref>] and thrombotic events [<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>]. When compared against each other we found comparable rates of all complications regardless of type of diabetes.</p>
<sec id="s4-1">
<title>Study Limitations</title>
<p>This study is limited by certain factors. Our T2DM cohort was a small highly selected group (3.4%) relative to the UK&#x2019;s overall population of T2DM patients. However, as we had 96 patients we believe this to be sufficiently high to allow some useful conclusions to be made.</p>
<p>The type of diabetes was predefined by recipient centres using clinical judgement as described above. Unlike other countries objective measurements such as C-peptide levels and presence of antibodies were not routinely utilised. This limits conclusions in terms of the effect of residual C peptide may have on clinical outcomes.</p>
<p>When analysing BMI, there were only 8 recipients with T2DM <italic>and</italic> a BMI &#x3e;&#xa0;30kg/m<sup>2</sup>, so we advise caution when interpreting these results. It is important to consider that many of the patients in this study are on dialysis and potentially could have large fluctuations in pre-operative weight, although in general we assume a dry weight is documented and recorded. Recipient weight was taken once at the time of listing, rather than serial measurements and so may be influenced by their dialysis schedule.</p>
<p>A final limitation is the missing data present in post-operative complications, a common problem when utilising large databases. A complete-case analysis was chosen as our statistical method to deal with this.</p>
<p>This is one of the largest studies ever performed and the only study from a UK population. It supports the findings of other national, and international studies. Our study is unique as common complications after SPK transplant were also analysed, as well as the impact of BMI and ethnicity delineated by type of diabetes.</p>
<p>In summary, we have found no statistically significant differences in death censored pancreas graft survival, kidney graft survival or patient survival when delineating by diabetes type which is consistent with previous studies research. Despite this evidence it should be noted SPK is rarely performed for T2DM patients, more so in the UK than several other countries. We have shown that fit patients with T2DM who are insulin dependent, not overtly obese (BMI &#x3c; 30&#xa0;kgm<sup>2</sup> although this would subject to opinion) and who are uraemic will do well with SPK. We were unable to draw useful conclusion regarding C peptide status in terms of clinical outcome.</p>
<p>We believe there needs to be a clear consensus on listing criteria and the diagnosis of T2DM to ensure that eligible patients are being referred for SPK transplant and are not excluded by questionable listing criteria. We also believe further research is needed within the UK population to better understand the disparity in percentage of T2DM patients receiving a SPK transplant.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: Access to the Dataset must be sought from the NHS Blood and Transplant UK registry team. Requests to access these datasets should be directed to <email>statistical.enquiries@nhsbt.nhs.uk</email>.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>Study aims and methodology were submitted to the NHS Blood and Transplant Research Advisory Group (RAG) and approved prior to gaining access to the registry data.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>RO: participated in research design, participated in the writing of the manuscript, participated in data analysis, reviewed and revised the manuscript. HC: participated in data analysis, reviewed and revised the manuscript. CC: participated in research design, reviewed and revised the manuscript. ST: participated in data analysis, reviewed and revised the manuscript. ET: participated in data analysis, participated in the writing of the manuscript, reviewed and revised the manuscript. DM: reviewed and revised the manuscript. JS: participated in the writing of the manuscript, reviewed and revised the manuscript. CW: participated in research design, participated in the writing of the manuscript, participated in data analysis, reviewed and revised the manuscript. SW: participated in research design, participated in the writing of the manuscript, participated in data analysis, reviewed and revised the manuscript.</p>
</sec>
<sec id="s9">
<title>Funding </title>
<p>ST contributed to this work whilst funded by a MRC CRTF (MR/Y000676/1).</p>
</sec>
<sec id="s10">
<title>Author Disclaimer</title>
<p>The views expressed are those of the authors and not necessarily those of the National Health Service, the NIHR, the department of health or NHSBT.</p>
</sec>
<sec sec-type="COI-statement" id="s11">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<ack>
<p>ST contributed to this work whilst funded by a MRC CRTF (MR/Y000676/1). Although no specific NIHR funding was received for this work, this study was supported by the National Institute for Health Research (NIHR) Blood and Transport Research Unit in Organ Donation and Transplantation (NIHR203332), a partnership between NHS Blood and Transplant (NHSBT), University of Cambridge and Newcastle University. The views expressed, are those of the author(s) and not necessarily those of the NIHR, NHS Blood and Transplant or the Department of Health and Social Care.</p>
</ack>
<sec id="s12">
<title>Abbreviations</title>
<p>BMI, Body Mass Index; BAME, Black, Asian and Minority Ethnic; CIT, Cold Ischaemia Time; CVA, Cerebrovascular Accident; DBD, Donor Brain Death; DCD, Donor Circulatory Death; IPTR, International Pancreas Transplant Registry; ITA, Islet Transplant Alone; KTA, Kidney Transplant Alone; MI, Myocardial infarction; NHSBT, National Health Service Blood and Transplant; NICE, National Institute of Health and Care Excellence; PAK, Pancreas after Kidney; PTA, Pancreas Transplant Alone; PTDM, Post Transplantation Diabetes Mellitus; SIK, Simultaneous Islet and Kidney Transplant; SPK, Simultaneous Pancreas and Kidney; T1DM, Type one diabetes mellitus; T2DM, Type two diabetes mellitus; UTI, Urinary tract infection; UK, United Kingdom; UNOS, United Network for Organ Sharing; WIT, Warm Ischaemia Time.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kelly</surname>
<given-names>WD</given-names>
</name>
<name>
<surname>Lillehei</surname>
<given-names>RC</given-names>
</name>
<name>
<surname>Merkel</surname>
<given-names>FK</given-names>
</name>
<name>
<surname>Idezuki</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Goetz</surname>
<given-names>FG</given-names>
</name>
</person-group>. <article-title>Allotransplantation of the Pancreas and Duodenum Along With the Kidney in Diabetic Nephropathy</article-title>. <source>Surgery</source> (<year>1967</year>) <volume>61</volume>(<issue>6</issue>):<fpage>145</fpage>&#x2013;<lpage>37</lpage>. <pub-id pub-id-type="doi">10.1097/00007890-196801000-00034</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nath</surname>
<given-names>DS</given-names>
</name>
<name>
<surname>Gruessner</surname>
<given-names>AC</given-names>
</name>
<name>
<surname>Kandaswamy</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Gruessner</surname>
<given-names>RW</given-names>
</name>
<name>
<surname>Sutherland</surname>
<given-names>DER</given-names>
</name>
<name>
<surname>Humar</surname>
<given-names>A</given-names>
</name>
</person-group>. <article-title>Outcomes of Pancreas Transplants for Patients With Type 2 Diabetes Mellitus</article-title>. <source>Clin Transpl</source> (<year>2005</year>) <volume>19</volume>(<issue>6</issue>):<fpage>792</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1111/j.1399-0012.2005.00423.x</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Orlando</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Stratta</surname>
<given-names>RJ</given-names>
</name>
<name>
<surname>Light</surname>
<given-names>J</given-names>
</name>
</person-group>. <article-title>Pancreas Transplantation for Type 2 Diabetes Mellitus</article-title>. <source>Curr Opin Organ Transpl</source> (<year>2011</year>) <volume>16</volume>(<issue>1</issue>):<fpage>110</fpage>&#x2013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1097/MOT.0b013e3283424d1f</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stratta</surname>
<given-names>RJ</given-names>
</name>
<name>
<surname>Farney</surname>
<given-names>AC</given-names>
</name>
<name>
<surname>Orlando</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Rogers</surname>
<given-names>J</given-names>
</name>
</person-group>. <article-title>Pancreas Transplantation for Type 2 Diabetes Mellitus: Who and Why?</article-title> <source>Curr Transpl Rep</source> (<year>2015</year>) <volume>2</volume>(<issue>2</issue>):<fpage>149</fpage>&#x2013;<lpage>58</lpage>. <pub-id pub-id-type="doi">10.1007/s40472-015-0055-8</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Light</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Tucker</surname>
<given-names>M</given-names>
</name>
</person-group>. <article-title>Simultaneous Pancreas Kidney Transplants in Diabetic Patients With End-Stage Renal Disease: The 20-yr Experience</article-title>. <source>Clin Transpl</source> (<year>2013</year>) <volume>27</volume>(<issue>3</issue>):<fpage>E256</fpage>&#x2013;<lpage>63</lpage>. <pub-id pub-id-type="doi">10.1111/ctr.12100</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="book">
<collab>Diabetes UK</collab>. <source>Diabetes Prevalence 2019</source>. <publisher-name>Diabetes Prevalence UK</publisher-name> (<year>2019</year>).</citation>
</ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal">
<collab>American Diabetes Association</collab>. <article-title>Diagnosis and Classification of Diabetes Mellitus</article-title>. <source>Diabetes Care</source> (<year>2014</year>) <volume>37</volume>(<issue>1</issue>):<fpage>S81</fpage>&#x2013;<lpage>S90</lpage>. <pub-id pub-id-type="doi">10.2337/dc14-S081</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="book">
<collab>NHS Blood and Transplant</collab>. <source>Pancreas Transplantation: Patient Selection</source> (<year>2019</year>). <comment>POL185/6, Available From: <ext-link ext-link-type="uri" xlink:href="https://nhsbtdbe.blob.core.windows.net/umbraco-assets-corp/17326/pancreas-selection-policy-pol185.pdf">https://nhsbtdbe.blob.core.windows.net/umbraco-assets-corp/17326/pancreas-selection-policy-pol185.pdf</ext-link> (Accessed May 11, 2023).</comment>
</citation>
</ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Covic</surname>
<given-names>AMC</given-names>
</name>
<name>
<surname>Schelling</surname>
<given-names>JR</given-names>
</name>
<name>
<surname>Constantiner</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Iyengar</surname>
<given-names>SK</given-names>
</name>
<name>
<surname>Sedor</surname>
<given-names>JR</given-names>
</name>
</person-group>. <article-title>Serum C-Peptide Concentrations Poorly Phenotype Type 2 Diabetic End-Stage Renal Disease Patients</article-title>. <source>Kidney Int</source> (<year>2000</year>) <volume>58</volume>(<issue>4</issue>):<fpage>1742</fpage>&#x2013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1046/j.1523-1755.2000.00335.x</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>White</surname>
<given-names>SA</given-names>
</name>
<name>
<surname>Shaw</surname>
<given-names>JA</given-names>
</name>
<name>
<surname>Sutherland</surname>
<given-names>DE</given-names>
</name>
</person-group>. <article-title>Pancreas Transplantation</article-title>. <source>The Lancet</source> (<year>2009</year>) <volume>373</volume>(<issue>9677</issue>):<fpage>1808</fpage>&#x2013;<lpage>17</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(09)60609-7</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fridell</surname>
<given-names>JA</given-names>
</name>
<name>
<surname>Niederhaus</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Curry</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Urban</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Fox</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Odorico</surname>
<given-names>J</given-names>
</name>
</person-group>. <article-title>The Survival Advantage of Pancreas After Kidney Transplant</article-title>. <source>Am J Transplant</source> (<year>2019</year>) <volume>19</volume>(<issue>3</issue>):<fpage>823</fpage>&#x2013;<lpage>30</lpage>. <pub-id pub-id-type="doi">10.1111/ajt.15106</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sung</surname>
<given-names>RS</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Schaubel</surname>
<given-names>DE</given-names>
</name>
<name>
<surname>Shu</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Magee</surname>
<given-names>JC</given-names>
</name>
</person-group>. <article-title>A Reassessment of the Survival Advantage of Simultaneous Kidney-Pancreas Versus Kidney-Alone Transplantation</article-title>. <source>Transplantation</source> (<year>2015</year>) <volume>99</volume>(<issue>9</issue>):<fpage>1900</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1097/TP.0000000000000663</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Esmeijer</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Hoogeveen</surname>
<given-names>EK</given-names>
</name>
<name>
<surname>van den Boog</surname>
<given-names>PJM</given-names>
</name>
<name>
<surname>Konijn</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Mallat</surname>
<given-names>MJK</given-names>
</name>
<name>
<surname>Baranski</surname>
<given-names>AG</given-names>
</name>
<etal/>
</person-group> <article-title>Superior Long-Term Survival for Simultaneous Pancreas-Kidney Transplantation as Renal Replacement Therapy: 30-Year Follow-Up of a Nationwide Cohort</article-title>. <source>Diabetes Care</source> (<year>2020</year>) <volume>43</volume>(<issue>2</issue>):<fpage>321</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.2337/dc19-1580</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nuttall</surname>
<given-names>FQ</given-names>
</name>
</person-group>. <article-title>Body Mass Index: Obesity, BMI, and Health: A Critical Review</article-title>. <source>Nutr Today</source> (<year>2015</year>) <volume>50</volume>:<fpage>117</fpage>&#x2013;<lpage>28</lpage>. <pub-id pub-id-type="doi">10.1097/NT.0000000000000092</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="book">
<collab>National Institute for Health and Care Excellence</collab>. <source>Type 1 Diabetes. Diagnosis</source> (<year>2023</year>). <comment>Available From: <ext-link ext-link-type="uri" xlink:href="https://cks.nice.org.uk/topics/diabetes-type-1/diagnosis/diagnosis-adults/">https://cks.nice.org.uk/topics/diabetes-type-1/diagnosis/diagnosis-adults/</ext-link> (Accessed May 11, 2023).</comment>
</citation>
</ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="book">
<collab>National Institute of Health and Care Excellence</collab>. <source>Type 2 Diabetes. Diagnosis</source> (<year>2023</year>). <comment>Available From: <ext-link ext-link-type="uri" xlink:href="https://cks.nice.org.uk/topics/diabetes-type-2/diagnosis/diagnosis-in-adults/">https://cks.nice.org.uk/topics/diabetes-type-2/diagnosis/diagnosis-in-adults/</ext-link> (Accessed May 11, 2023).</comment>
</citation>
</ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="book">
<collab>NHS Blood and Transplant</collab>. <source>Pancreas Activity Report</source> (<year>2020</year>). <comment>Published Online 2020</comment>.</citation>
</ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pham</surname>
<given-names>PH</given-names>
</name>
<name>
<surname>Stalter</surname>
<given-names>LN</given-names>
</name>
<name>
<surname>Martinez</surname>
<given-names>EJ</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>JF</given-names>
</name>
<name>
<surname>Welch</surname>
<given-names>BM</given-names>
</name>
<name>
<surname>Leverson</surname>
<given-names>G</given-names>
</name>
<etal/>
</person-group> <article-title>Single Center Results of Simultaneous Pancreas-Kidney Transplantation in Patients With Type 2 Diabetes</article-title>. <source>Am J Transplant</source> (<year>2021</year>) <volume>21</volume>(<issue>8</issue>):<fpage>2810</fpage>&#x2013;<lpage>23</lpage>. <pub-id pub-id-type="doi">10.1111/ajt.16462</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sampaio</surname>
<given-names>MS</given-names>
</name>
<name>
<surname>Kuo</surname>
<given-names>HT</given-names>
</name>
<name>
<surname>Bunnapradist</surname>
<given-names>S</given-names>
</name>
</person-group>. <article-title>Outcomes of Simultaneous Pancreas-Kidney Transplantation in Type 2 Diabetic Recipients</article-title>. <source>Clin J Am Soc Nephrol</source> (<year>2011</year>) <volume>6</volume>:<fpage>1198</fpage>&#x2013;<lpage>206</lpage>. <pub-id pub-id-type="doi">10.2215/CJN.06860810</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Margreiter</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Resch</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Oberhuber</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Aigner</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Maier</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Sucher</surname>
<given-names>R</given-names>
</name>
<etal/>
</person-group> <article-title>Combined Pancreas-Kidney Transplantation for Patients With End-Stage Nephropathy Caused by Type-2 Diabetes Mellitus</article-title>. <source>Transplantation</source> (<year>2013</year>) <volume>95</volume>(<issue>8</issue>):<fpage>1030</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1097/TP.0b013e3182861945</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alhamad</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Kunjal</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Wellen</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Brennan</surname>
<given-names>DC</given-names>
</name>
<name>
<surname>Wiseman</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Ruano</surname>
<given-names>K</given-names>
</name>
<etal/>
</person-group> <article-title>Three-Month Pancreas Graft Function Significantly Influences Survival Following Simultaneous Pancreas-Kidney Transplantation in Type 2 Diabetes Patients</article-title>. <source>Am J Transplant</source> (<year>2020</year>) <volume>20</volume>(<issue>3</issue>):<fpage>788</fpage>&#x2013;<lpage>96</lpage>. <pub-id pub-id-type="doi">10.1111/ajt.15615</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Light</surname>
<given-names>JA</given-names>
</name>
<name>
<surname>Sasaki</surname>
<given-names>TM</given-names>
</name>
<name>
<surname>Currier</surname>
<given-names>CB</given-names>
</name>
<name>
<surname>Barhyte</surname>
<given-names>DY</given-names>
</name>
</person-group>. <article-title>Successful Long-Term Kidney-Pancreas Transplants Regardless of C-Peptide Status or Race</article-title>. <source>Transplantation</source> (<year>2001</year>) <volume>71</volume>(<issue>1</issue>):<fpage>152</fpage>&#x2013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1097/00007890-200101150-00025</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Du</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Snetselaar</surname>
<given-names>LG</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>FB</given-names>
</name>
<etal/>
</person-group> <article-title>Prevalence of Diagnosed Type 1 and Type 2 Diabetes Among US Adults in 2016 and 2017: Population Based Study</article-title>. <source>BMJ</source> (<year>2018</year>) <volume>362</volume>:<fpage>k1497</fpage>. <pub-id pub-id-type="doi">10.1136/bmj.k1497</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Herder</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Roden</surname>
<given-names>M</given-names>
</name>
</person-group>. <article-title>Genetics of Type 2 Diabetes: Pathophysiologic and Clinical Relevance</article-title>. <source>Eur J Clin Invest</source> (<year>2011</year>) <volume>41</volume>(<issue>6</issue>):<fpage>679</fpage>&#x2013;<lpage>92</lpage>. <pub-id pub-id-type="doi">10.1111/j.1365-2362.2010.02454.x</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Geurten</surname>
<given-names>RJ</given-names>
</name>
<name>
<surname>Elissen</surname>
<given-names>AMJ</given-names>
</name>
<name>
<surname>Bilo</surname>
<given-names>HJG</given-names>
</name>
<name>
<surname>Struijs</surname>
<given-names>JN</given-names>
</name>
<name>
<surname>van Tilburg</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Ruwaard</surname>
<given-names>D</given-names>
</name>
</person-group>. <article-title>Identifying and Delineating the Type 2 Diabetes Population in the Netherlands Using an All-Payer Claims Database: Characteristics, Healthcare Utilisation and Expenditures</article-title>. <source>BMJ Open</source> (<year>2021</year>) <volume>11</volume>(<issue>12</issue>):<fpage>e049487</fpage>. <pub-id pub-id-type="doi">10.1136/bmjopen-2021-049487</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gruessner</surname>
<given-names>AC</given-names>
</name>
</person-group>. <article-title>2011 Update on Pancreas Transplantation: Comprehensive Trend Analysis of 25,000 Cases Followed Up Over the Course of Twenty-Four Years at the International Pancreas Transplant Registry (IPTR)</article-title>. <source>Rev Diabetic Stud</source> (<year>2011</year>) <volume>8</volume>(<issue>1</issue>):<fpage>6</fpage>&#x2013;<lpage>16</lpage>. <pub-id pub-id-type="doi">10.1900/rds.2011.8.6</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fourtounas</surname>
<given-names>C</given-names>
</name>
</person-group>. <article-title>Transplant Options for Patients With Type 2 Diabetes and Chronic Kidney Disease</article-title>. <source>World J Transpl</source> (<year>2014</year>) <volume>4</volume>(<issue>2</issue>):<fpage>102</fpage>&#x2013;<lpage>10</lpage>. <pub-id pub-id-type="doi">10.5500/wjt.v4.i2.102</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nagar</surname>
<given-names>SD</given-names>
</name>
<name>
<surname>N&#xe1;poles</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Jordan</surname>
<given-names>IK</given-names>
</name>
<name>
<surname>Mari&#xf1;o-Ram&#xed;rez</surname>
<given-names>L</given-names>
</name>
</person-group>. <article-title>Socioeconomic Deprivation and Genetic Ancestry Interact to Modify Type 2 Diabetes Ethnic Disparities in the United Kingdom</article-title>. <source>EClinicalMedicine</source> (<year>2021</year>) <volume>37</volume>:<fpage>100960</fpage>. <pub-id pub-id-type="doi">10.1016/j.eclinm.2021.100960</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Al-Goblan</surname>
<given-names>AS</given-names>
</name>
<name>
<surname>Al-Alfi</surname>
<given-names>MA</given-names>
</name>
<name>
<surname>Khan</surname>
<given-names>MZ</given-names>
</name>
</person-group>. <article-title>Mechanism Linking Diabetes Mellitus and Obesity</article-title>. <source>Diabetes Metab Syndr Obes</source> (<year>2014</year>) <volume>7</volume>:<fpage>587</fpage>&#x2013;<lpage>91</lpage>. <pub-id pub-id-type="doi">10.2147/DMSO.S67400</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Czech</surname>
<given-names>MP</given-names>
</name>
</person-group>. <article-title>Insulin Action and Resistance in Obesity and Type 2 Diabetes</article-title>. <source>Nat Med</source> (<year>2017</year>) <volume>23</volume>(<issue>7</issue>):<fpage>804</fpage>&#x2013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1038/nm.4350</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chang</surname>
<given-names>SA</given-names>
</name>
</person-group>. <article-title>Smoking and Type 2 Diabetes Mellitus</article-title>. <source>Diabetes Metab J</source> (<year>2012</year>) <volume>36</volume>(<issue>6</issue>):<fpage>399</fpage>&#x2013;<lpage>403</lpage>. <pub-id pub-id-type="doi">10.4093/dmj.2012.36.6.399</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32.</label>
<citation citation-type="book">
<collab>National Institute on Drug Abuse</collab>. <source>Are There Gender Differences in Tobacco Smoking? Tobacco, Nicotine, and E-Cigarettes Research Report</source>. <publisher-loc>Bethesda, Maryland</publisher-loc>: <publisher-name>National Institutes of Health</publisher-name> (<year>2022</year>).</citation>
</ref>
<ref id="B33">
<label>33.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nordstr&#xf6;m</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Hadr&#xe9;vi</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Olsson</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Franks</surname>
<given-names>PW</given-names>
</name>
<name>
<surname>Nordstr&#xf6;m</surname>
<given-names>P</given-names>
</name>
</person-group>. <article-title>Higher Prevalence of Type 2 Diabetes in Men Than in Women Is Associated With Differences in Visceral Fat Mass</article-title>. <source>J Clin Endocrinol Metab</source> (<year>2016</year>) <volume>101</volume>(<issue>10</issue>):<fpage>3740</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1210/jc.2016-1915</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Owen</surname>
<given-names>Rv.</given-names>
</name>
<name>
<surname>Thompson</surname>
<given-names>ER</given-names>
</name>
<name>
<surname>Tingle</surname>
<given-names>SJ</given-names>
</name>
<name>
<surname>Ibrahim</surname>
<given-names>IK</given-names>
</name>
<name>
<surname>Manas</surname>
<given-names>DM</given-names>
</name>
<name>
<surname>White</surname>
<given-names>SA</given-names>
</name>
<etal/>
</person-group> <article-title>Too Fat for Transplant? The Impact of Recipient BMI on Pancreas Transplant Outcomes</article-title>. <source>Transplantation</source> (<year>2021</year>) <volume>105</volume>:<fpage>905</fpage>&#x2013;<lpage>15</lpage>. <pub-id pub-id-type="doi">10.1097/TP.0000000000003334</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Goff</surname>
<given-names>LM</given-names>
</name>
</person-group>. <article-title>Ethnicity and Type 2 Diabetes in the UK</article-title>. <source>Diabetic Med</source> (<year>2019</year>) <volume>36</volume>(<issue>8</issue>):<fpage>927</fpage>&#x2013;<lpage>38</lpage>. <pub-id pub-id-type="doi">10.1111/dme.13895</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pham</surname>
<given-names>TM</given-names>
</name>
<name>
<surname>Carpenter</surname>
<given-names>JR</given-names>
</name>
<name>
<surname>Morris</surname>
<given-names>TP</given-names>
</name>
<name>
<surname>Sharma</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Petersen</surname>
<given-names>I</given-names>
</name>
</person-group>. <article-title>Ethnic Differences in the Prevalence of Type 2 Diabetes Diagnoses in the UK: Cross-Sectional Analysis of the Health Improvement Network Primary Care Database</article-title>. <source>Clin Epidemiol</source> (<year>2019</year>) <volume>11</volume>:<fpage>1081</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.2147/CLEP.S227621</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muller</surname>
<given-names>LMAJ</given-names>
</name>
<name>
<surname>Gorter</surname>
<given-names>KJ</given-names>
</name>
<name>
<surname>Hak</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Goudzwaard</surname>
<given-names>WL</given-names>
</name>
<name>
<surname>Schellevis</surname>
<given-names>FG</given-names>
</name>
<name>
<surname>Hoepelman</surname>
<given-names>AIM</given-names>
</name>
<etal/>
</person-group> <article-title>Increased Risk of Common Infections in Patients With Type 1 and Type 2 Diabetes Mellitus</article-title>. <source>Clin Infect Dis</source> (<year>2005</year>) <volume>41</volume>(<issue>3</issue>):<fpage>281</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1086/431587</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Patel</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Srivastava</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Singh</surname>
<given-names>MR</given-names>
</name>
<name>
<surname>Singh</surname>
<given-names>D</given-names>
</name>
</person-group>. <article-title>Mechanistic Insight Into Diabetic Wounds: Pathogenesis, Molecular Targets and Treatment Strategies to Pace Wound Healing</article-title>. <source>Biomed Pharmacother</source> (<year>2019</year>) <volume>112</volume>:<fpage>108615</fpage>. <pub-id pub-id-type="doi">10.1016/j.biopha.2019.108615</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Matheus</surname>
<given-names>ASDM</given-names>
</name>
<name>
<surname>Tannus</surname>
<given-names>LRM</given-names>
</name>
<name>
<surname>Cobas</surname>
<given-names>RA</given-names>
</name>
<name>
<surname>Palma</surname>
<given-names>CCS</given-names>
</name>
<name>
<surname>Negrato</surname>
<given-names>CA</given-names>
</name>
<name>
<surname>Gomes</surname>
<given-names>MDB</given-names>
</name>
</person-group>. <article-title>Impact of Diabetes on Cardiovascular Disease: An Update</article-title>. <source>Int J Hypertens</source> (<year>2013</year>) <volume>2013</volume>:<fpage>653789</fpage>. <pub-id pub-id-type="doi">10.1155/2013/653789</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lukovits</surname>
<given-names>TG</given-names>
</name>
<name>
<surname>Mazzone</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Gorelick</surname>
<given-names>PB</given-names>
</name>
</person-group>. <article-title>Diabetes Mellitus and Cerebrovascular Disease</article-title>. <source>Neuroepidemiology</source> (<year>1999</year>) <volume>18</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1159/000026190</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>