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<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">10384</article-id>
<article-id pub-id-type="doi">10.3389/ti.2022.10384</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>Renal Function, Adherence and Quality of Life Improvement After Conversion From Immediate to Prolonged-Release Tacrolimus in Liver Transplantation: Prospective Ten-Year Follow-Up Study</article-title>
<alt-title alt-title-type="left-running-head">Toti et al.</alt-title>
<alt-title alt-title-type="right-running-head">Tacrolimus Switch in Liver Transplantation</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Toti</surname>
<given-names>Luca</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1472491/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Manzia</surname>
<given-names>Tommaso Maria</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Blasi</surname>
<given-names>Francesca</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lenci</surname>
<given-names>Ilaria</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Baiocchi</surname>
<given-names>Leonardo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Toschi</surname>
<given-names>Nicola</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tisone</surname>
<given-names>Giuseppe</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2021491/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>HPB and Transplant Unit</institution>, <institution>Department of Surgery</institution>, <institution>University of Rome Tor Vergata</institution>, <addr-line>Rome</addr-line>, <country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Hepatology and Liver Transplant Unit</institution>, <institution>University of Rome Tor Vergata</institution>, <addr-line>Rome</addr-line>, <country>Italy</country>
</aff>
<aff id="aff3">
<sup>3</sup>Department of Biomedicine and Prevention, <institution>University of Rome Tor Vergata</institution>, <addr-line>Roma</addr-line>, <country>Italy</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>
<institution>Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School</institution>, <addr-line>Boston</addr-line>, <addr-line>MA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<corresp id="c001">&#x2a;Correspondence: Luca Toti, <email>lucatoti@gmail.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>35</volume>
<elocation-id>10384</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Toti, Manzia, Blasi, Lenci, Baiocchi, Toschi and Tisone.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Toti, Manzia, Blasi, Lenci, Baiocchi, Toschi and Tisone</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>Immunosuppression non-adherence is a major cause of graft failure after liver transplantation. The aim of this study was to evaluate practice surrounding conversion from immediate-release to prolonged-release Tacrolimus formulation and to assess patient adherence and quality of life (QoL). One hundred and seven adult liver transplant recipients, receiving immediate-release Tacrolimus for a minimum of 6&#xa0;months, were converted to prolonged-release formulation, based on a dose ratio of one (1:1). The median follow-up was 120 [IQR, 120&#x2013;123] months. Tacrolimus dosage and blood level, liver and renal function, lipid and glucose profiles were recorded. In addition, questionnaires were submitted to evaluate adherence and QoL following conversion. No rejection was recorded. The median serum Tacrolimus blood level decreased over 1&#xa0;month (5.80, [IQR, 2.0&#x2013;10.8] vs. 3.8 [IQR, 1.4&#x2013;8.7]; <italic>p</italic> &#x3c; 0.0005). Significant improvement in renal function was noted (median GFR was 81.7 [IQR, 43.4&#x2013;128.6] vs. 73.9 [IQR, 27.1&#x2013;130.2]; <italic>p</italic> &#x3d; 0.0002). At the end of the follow-up, conversion resulted in an overall decrease in non-adherence of 53.3% (<italic>p</italic> &#x3d; 0.0001) and an improvement in QoL was reported by 76.2% of patients. Thus, 1:1 conversion from immediate to prolonged-release Tacrolimus is safe, feasible and efficient, avoiding under-therapeutic and toxic peak concentrations, improving renal function, adherence to immunosuppression and overall patient QoL.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<graphic xlink:href="TI_ti-2022-10384_wc_abs.tif" position="anchor"/>
</p>
</abstract>
<kwd-group>
<kwd>liver transplantation</kwd>
<kwd>immunosuppression</kwd>
<kwd>quality of life</kwd>
<kwd>Tacrolimus</kwd>
<kwd>adherence</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>In recent decades, the introduction of new immunosuppressive drugs has contributed to graft survival in solid organ transplantation, decreasing the incidence of acute rejection and thus improving patient survival and quality of life (QoL). However, immunosuppression (IS) has several side-effects including renal failure, infections, cardiovascular diseases, metabolic disorders and <italic>de novo</italic> malignancies (<xref ref-type="bibr" rid="B1">1</xref>-<xref ref-type="bibr" rid="B4">4</xref>). In addition, patients are required to follow a complex IS regimen, which includes multiple drugs and personalized daily dose schedules. This therapeutic complexity is often poorly tolerated by patients and is the main cause of non-adherence after solid organ transplantation (<xref ref-type="bibr" rid="B5">5</xref>-<xref ref-type="bibr" rid="B7">7</xref>), which is estimated at between 15 and 55% (<xref ref-type="bibr" rid="B8">8</xref>-<xref ref-type="bibr" rid="B10">10</xref>). Therapeutic complexity is also the leading cause of preventable graft loss (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B11">11</xref>-<xref ref-type="bibr" rid="B13">13</xref>). Therefore, simpler treatment regimens, such as once-daily dosing, have been suggested to help improve adherence in transplant recipients (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Furthermore, prolonged-release formulations may increase safety profiles avoiding toxic peaks and under therapeutic concentrations, which are observed in narrow therapeutic index drugs, including Tacrolimus (Tac) (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Tac is frequently used in liver transplantation (LT). In addition to the immediate-release formulation (IR-Tac, Prograf<sup>&#xae;</sup>; Astellas Pharma US, Inc., Deerfileld, IL, USA), administered twice daily to maintain stable blood levels, a prolonged-release (PR-Tac, Advagraf&#xae;, Astellas Pharma Europe BV, Netherlands) formulation was licensed in Europe in 2007 for the prevention and treatment of graft rejection. Conversion from IR to PR-Tac has been studied in maintenance LT recipients (<xref ref-type="bibr" rid="B18">18</xref>-<xref ref-type="bibr" rid="B21">21</xref>), and the pharmacokinetic of IR-Tac and PR-Tac has been shown to be significantly different.</p>
<p>The main aim of this study was to explore tolerability and safety after conversion from IR to PR-Tac in adult LT patients. Secondary endpoints were patient adherence and QoL. Third endpoints were to evaluate the changes in concentration/dose ratio (C/D), C/D intra-patient variability following conversion from IR to PR-Tac, based on a dose ratio of 1 (1:1).</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<p>This is a prospective, single arm study and patients were followed up at one, six, 12, 60 and 120 months between December 2010 and March 2021 in our hospital.</p>
<sec id="s2-1">
<title>Inclusion Criteria</title>
<p>All adult patients, who underwent LT, who were on IR-Tac-based IS regimen for at least 6&#xa0;months, with stable liver function test (LFT) and serum creatinine levels &#x3c;2.0&#xa0;mg/dl were enrolled in this study.</p>
</sec>
<sec id="s2-2">
<title>Exclusion Criteria</title>
<p>Patients were excluded in case of pregnancy, breastfeeding, malignancy, severe systemic infection requiring any therapy that could modify Tac pharmacokinetics, or the use of any other investigational drugs.</p>
</sec>
<sec id="s2-3">
<title>Standard Immunosuppression Management</title>
<p>In general, the IS therapeutic protocol of our centre requires that corticosteroids are not used unless the patient has autoimmune pathologies. In patients with stable liver function, Tac monotherapy is usually achieved 1&#xa0;year after the transplantation (<xref ref-type="bibr" rid="B22">22</xref>).</p>
</sec>
<sec id="s2-4">
<title>Conversion Protocol to PR-Tac</title>
<p>The conversion from IR-Tac to PR-Tac started as soon as the new formulation was available in our hospital. All patients enrolled in the study were switched to PR-Tac, individually, during a 2&#xa0;months period, and they were followed-up for at least 10 years. The starting dose of PR-Tac was exactly the same as the dose of IR-Tac taken by the patient at the time of conversion (1: 1).</p>
<p>Tac levels were measured in our central laboratory using a high-performance liquid chromatography-mass-spectrometry procedure (<xref ref-type="bibr" rid="B23">23</xref>). Patients were closely monitored during the study and Tac doses were adjusted to maintain adequate blood levels to maintain normal liver function and preventing rejection.</p>
</sec>
<sec id="s2-5">
<title>Clinical and Biomedical Parameters</title>
<p>At follow-up, physical examination and measurement of vital signs were performed, contingent adverse events were noted, and laboratory test results were checked. Arterial hypertension was defined as systolic blood pressure &#x3e;140 and/or diastolic &#x3e;90&#xa0;mm Hg&#xa0;at two subsequent visits or when antihypertensive treatment was prescribed. Diabetes mellitus was defined as fasting glucose &#x3e;126&#xa0;mg/dl at two subsequent visits or when hypoglycemic treatment was used. Dyslipidemia was defined as cholesterolemia &#x3e;220&#xa0;mg/dl and/or triglyceridemia &#x3e;200&#xa0;mg/dl at two subsequent visits or when using hypolipidemic treatment.</p>
<p>LFTs including aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyl-transferase and bilirubin were performed at each clinic. Elevated transaminases, defined as twice the upper limit of our laboratory cut-off (AST &#x3e;68U/L; ALT &#x3e;110U/L), triggered closer surveillance and a liver biopsy when LFT abnormalities persisted (<xref ref-type="bibr" rid="B24">24</xref>). Graft loss was defined as retransplantation or death. Renal function was assessed using the glomerular filtration rate (eGFR, Modification of Diet in Renal Disease formula, MDRD) formula.</p>
</sec>
<sec id="s2-6">
<title>Adherence and Quality of Life</title>
<p>Adherence was assessed using the &#x2018;&#x2018;Basel Assessment of Adherence Scale to Immunosuppressives&#x201d; (<xref ref-type="bibr" rid="B25">25</xref>) (BAASIS) questionnaire. This tool consists of a four-item validated questionnaire and a Visual Analog Scale (VAS). The first part addresses adherence including timing, missed dose and a &#x201c;drug holiday&#x201d; defined as &#x3e;24&#xa0;h interval between two consecutive doses. The VAS is a 100-point score, where patients report adherence in the previous 4&#xa0;weeks from 0 to 100 (drug therapy never/always taken as prescribed) thereby assessing adherence as a continuous variable. The BAASIS form was completed by patients once pre-conversion to assess adherence to IR-Tac formulation and again at one- and ten-years following conversion to assess adherence to PR-Tac formulation and tolerability over time.</p>
<p>A <italic>de novo</italic> questionnaire (unpublished data) was developed to address those aspects of the IS regimen that influence patient care and the general perception of good or poor QoL in patients taking PR-Tac versus IR-Tac. The questionnaire was designed to be short, simple and easy to understand, to ensure a high completion rate with minimal missing data. The questionnaire, filled in anonymously by patients, collected demographic information (age, gender, and marital and employment status), and included three additional questions. Demographics were collected to facilitate the interpretation of the data at the end of the study. The first question was completed in the pre-conversion phase and queried the possible difficulty of taking multiple daily doses of drugs using a binary response option (YES/NO). The response was followed by a four-point Likert scale measuring the degree of difficulty, with two positive (very, quite) and two negative (little, very little) quantitative responses. At 12 and 120&#xa0;months, questions two and three were administered. The second question assessed the possible satisfaction of the new drug regimen using a binary response option (YES/NO). The third question evaluated the perception of an improvement in QoL following the intake of the single-dose drug with a four-point Likert scale measuring the degree of improvement with two positive (very, quite) and two negative (little, very little) quantitative responses.</p>
<p>A positive response to the first question assumed dissatisfaction with taking multiple daily drugs, which was confirmed by positive responses on the Likert scale. Positive responses to questions 2 and 3 indicated satisfaction with the new therapeutic regimen and increased perception of QoL.</p>
</sec>
<sec id="s2-7">
<title>Statistical Analysis</title>
<p>Data were presented as means (standard deviation), medians (interquartile range; IQR), or frequencies (percentage) as appropriate. For adherence data, categorical variables collected during follow-up were compared to baseline values using Fisher&#x2019;s exact-test, while continuous data were compared to baseline values using the paired Student&#x2019;s t-test. To simultaneously subject-wise as well as time-related changes, and possible interactions between them, all other variables were analyzed using multivariate linear mixed models modelling timepoints as a repeated within-subject factor and employing an unstructured estimate of the covariance matrix. As opposed to general linear models, mixed models have the advantage of being able to account for heterogeneous distances between timepoints, missing data as well as unequal variances and covariances. To account for possible confounding due to inter-patient variability, all models included gender, categorized disease etiology, time between therapy inception and conversion, and Tac blood levels (primary endpoint only) as covariates of interest.</p>
<p>Whenever a statistically significant (<italic>p</italic> &#x3c; 0.05) overall effect of time was found, pairwise comparisons between timepoints were performed and corrected for multiple comparisons across pairs of timepoints using the Dunn&#x2013;&#x160;id&#xe1;k procedure.</p>
<p>Written informed consent was obtained from each patient prior to enrolment, without any patient refusing to participate in the study.</p>
<p>This study was conducted in accordance with the Declaration of Helsinki and approved by an Independent Ethics Committee prior to implementation.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>One hundred and seven Caucasian adult LT recipients with a median age of 55 (IQR, 48&#x2013;61.5) years were enrolled into the study. The median time from LT to study enrolment was 55 (IQR, 31&#x2013;81) months. Patient characteristics are summarized in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Patient baseline characteristics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristic (N &#x3d; 107 patients)</th>
<th align="center">Median/[IQR] or no. (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Sex, Males</td>
<td align="center">69 (64.5%)</td>
</tr>
<tr>
<td align="left">Age at conversion (years)</td>
<td align="center">55 [48&#x2013;61.5]</td>
</tr>
<tr>
<td align="left">Time from IR-Tac to conversion (months)</td>
<td align="center">55 [31&#x2013;81]</td>
</tr>
<tr>
<td colspan="2" align="left">Indication for LT</td>
</tr>
<tr>
<td align="left">&#x2003;Hepatitis C virus</td>
<td align="center">27 (25.2%)</td>
</tr>
<tr>
<td align="left">&#x2003;Hepatitis B virus</td>
<td align="center">24 (22.4%)</td>
</tr>
<tr>
<td align="left">&#x2003;Alcohol</td>
<td align="center">12 (11.2%)</td>
</tr>
<tr>
<td align="left">&#x2003;HCC</td>
<td align="center">29 (27.1%)</td>
</tr>
<tr>
<td align="left">&#x2003;Other</td>
<td align="center">15 (14.1%)</td>
</tr>
<tr>
<td align="left">&#x2003;Weight at baseline, kg</td>
<td align="center">69 [62&#x2013;75]</td>
</tr>
<tr>
<td colspan="2" align="left">Comorbidity</td>
</tr>
<tr>
<td align="left">&#x2003;Diabetes mellitus</td>
<td align="center">14 (13.1%)</td>
</tr>
<tr>
<td align="left">&#x2003;Hypertension</td>
<td align="center">21 (19.6%)</td>
</tr>
<tr>
<td align="left">&#x2003;Hyperlipidemia</td>
<td align="center">26 (24.3%)</td>
</tr>
<tr>
<td align="left">&#x2003;Renal impairment (eGFR &#x3c;60&#xa0;ml/min/1.73 m<sup>2</sup>)</td>
<td align="center">14 (13.1%)</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s3-1">
<title>Primary Endpoint (Tacrolimus Tolerability and Safety)</title>
<p>At enrolment, 74 patients (69%) were on IR-Tac monotherapy. Median Tac daily dose was 2.0 (IQR, 1.5&#x2013;3.0) mg and similar values were reported within the first 12-month after conversion. Eight-six out of 107 (81.9%) patients continued with the same Tac dosage after 1&#xa0;year and the dosage was decreased in six patients (5.7%), increased in 11 patients (10.5%) and two (1.9%) patients were withdrawn from PR-Tac: the first patient due to frequent episodes of hypertension, diarrhea and vertigo and reconverted to IR-Tac; the second one due to <italic>de novo</italic> intestinal adenocarcinoma and subsequently switched to mTOR-inhibitor monotherapy.</p>
<p>By the end of the follow-up, 91 (85%) patients were still on the PR-Tac IS regimen: 56 patients (52.3%) were maintained on the same dosage as baseline; 24 patients (22.4%) had their dosage decreased and 11 patients (10.3%) increased. Six (5.6%) were converted to a different IS drug between 12th and 120th month. Three patients (2.8%) initiated single drug treatment with mycophenolate mofetil due to blood hypertension at 28, 56 and 68&#xa0;months respectively. Three patients (2.8%) were converted to mTOR-inhibitor due to HCC recurrence, breast cancer and colon adenocarcinoma at 58, 89 and 112&#xa0;months, respectively. A total of eight (7.4%) patients died due to a cardiovascular accident (<italic>n</italic> &#x3d; 4) or malignancy (<italic>n</italic> &#x3d; 4; lung cancer (<italic>n</italic> &#x3d; 2) and esophagus cancer (<italic>n</italic> &#x3d; 2)) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Tacrolimus dosage modifications at 12 and 120&#xa0;months.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Overall to IR-Tac</th>
<th align="center">12&#xa0;months</th>
<th align="center">120&#xa0;months</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">No modification</td>
<td align="center">86 (80.4%)</td>
<td align="center">56 (52.3%)</td>
</tr>
<tr>
<td align="left">Decreased</td>
<td align="center">6 (5.7%)</td>
<td align="center">24 (22.4%)</td>
</tr>
<tr>
<td align="left">Increased</td>
<td align="center">11 (10.5%)</td>
<td align="center">11 (10.3%)</td>
</tr>
<tr>
<td align="left">Converted to another drug</td>
<td align="center">2 (1.9%)</td>
<td align="center">8 (7.5%)</td>
</tr>
<tr>
<td align="left">Deaths</td>
<td align="center">&#x2014;</td>
<td align="center">8 (7.5%)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The median serum Tac blood levels were 5.80 (IQR, 4.1&#x2013;7.1) ng/ml and 3.80 (IQR, 3.1&#x2013;4.5) ng/ml respectively (<italic>p</italic> &#x3c; 0.0001) at baseline and 1&#xa0;month after conversion, respectively. When the LFTs remained stable no dose adjustments were considered. In patients without dose adjustments, the median Tac blood levels remained 2.0&#xa0;mg [IQR, 1.5&#x2013;3.0] We found a significant effect of the timepoint factor (<italic>p</italic> &#x3c; 0.0001) on Tac blood levels, which in post-hoc comparison appeared to be associated with the following differences: baseline vs. 1, 6, 60 and 120&#xa0;months (1&#xa0;m &#x3c; baseline: <italic>p</italic> &#x3c; 0.0001; 6&#xa0;m &#x3c; baseline: <italic>p</italic> &#x3d; 0.023; 60&#xa0;m &#x3c; baseline: <italic>p</italic> &#x3d; 0.002, 120&#xa0;m &#x3c; baseline: <italic>p</italic> &#x3d; 0.001); 1-month vs. 6, 60 and 120&#xa0;months (1&#xa0;m &#x3c; 6&#xa0;m: <italic>p</italic> &#x3d; 0.023; 1&#xa0;m &#x3c; 60&#xa0;m: <italic>p</italic> &#x3d; 0.003; 1&#xa0;m &#x3e; 120&#xa0;m: <italic>p</italic> &#x3d; 0.001); 6&#xa0;months vs. 12, 60 and 120&#xa0;months (6&#xa0;m &#x3c; 12&#xa0;m: <italic>p</italic> &#x3d; 0.01, 6&#xa0;m &#x3e; 60: <italic>p</italic> &#x3d; 0.001, 6&#xa0;m &#x3e; 120&#xa0;m: <italic>p</italic> &#x3d; 0.001) (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Boxplots showing median, interquartile range and 5th/95th percentile of Tacrolimus trough level as a function of timepoint.</p>
</caption>
<graphic xlink:href="ti-35-10384-g001.tif"/>
</fig>
<p>No patient experienced clinical or biopsy-proven acute rejection (BPAR) after conversion. The 10-year survival was 92.6%.</p>
<p>There was no statistically significant effect for the timepoint factor on liver function. Even the comparison of glucose levels and cholesterol and triglycerides values between the pre and post conversion periods was not statistically significant. We found a significant effect of the timepoint factor (<italic>p</italic> &#x3c; 0.0001) on eGFR (<xref ref-type="fig" rid="F2">Figure 2</xref>), which in post-hoc comparison appeared to be associated with the following differences: baseline&#x3c;120&#xa0;months (<italic>p</italic> &#x3c; 0.0001); baseline&#x3e;1&#xa0;month (<italic>p</italic> &#x3c; 0.0001); baseline&#x3e;6&#xa0;months (<italic>p</italic> &#x3d; 0.049); month 1&#x3c;6, 12, 60 and 120 (all <italic>p</italic> &#x3c; 0.001).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Boxplots showing median, interquartile range and 5th/95th percentile of eGFR as a function of timepoint.</p>
</caption>
<graphic xlink:href="ti-35-10384-g002.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>Secondary End Points (Adherence and QoL)</title>
<p>The BAASIS questionnaire addressed different aspects of adherence, with the aim of identifying those areas where adherence has significantly increased. At baseline, 84 (78.5%) patients reported forgetting to take at least one drug dose in the previous 4&#xa0;weeks, whereas this dropped to 24 (22.4%) and 27 (25.2%) patients at 12 and 120&#xa0;months, respectively (<italic>p</italic> &#x3c; 0.0001). Sixty-six patients (61.7%) declared at baseline that they had possibly missed two consecutive drug doses, which dropped to 12 (11.4%; <italic>p</italic> &#x3c; 0.0001) and 22 (20.5%; <italic>p</italic> &#x3c; 0.0001) patients at 12 and 120&#xa0;months, respectively. Sixty-three patients (58.9%) did not respect the therapeutic intake time at baseline but this decreased to 15 (14%; <italic>p</italic> &#x3c; 0.0001) and 25 (23.3%; <italic>p</italic> &#x3c; 0.0001) patients at 12 and 120&#xa0;months, respectively. Five patients (4.7%) admitted to taking lower drug dosages than medically prescribed, which dropped to three (2.8%; <italic>p</italic> &#x3d; 0.72) and no (0%, <italic>p</italic> &#x3d; 0.06) patients at 12 and 120&#xa0;months, respectively.</p>
<p>Median VAS ratings of patient adherence were 90 (IQR,75&#x2013;100) at baseline and were significantly higher at 12&#xa0;months (97 [IQR, 85&#x2013;100]; <italic>p</italic> &#x3d; 0.0009) and 120 months (95 [IQR, 87&#x2013;100]; <italic>p</italic> &#x3d; 0.0008) (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Adherence evaluation at Baseline, 12 and 120 months by BAASIS and VAS.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="1" align="left">BAASIS</th>
<th colspan="2" align="center">Baseline (<italic>n</italic> &#x3d; 107)</th>
<th colspan="2" align="center">Follow-up at 12&#xa0;months (<italic>n</italic> &#x3d; 105)</th>
<th colspan="1" align="center">
<italic>p</italic>-value&#x2a;&#x2a;</th>
<th colspan="2" align="center">Follow-up at 120&#xa0;months (<italic>n</italic> &#x3d; 91)</th>
<th colspan="1" align="center">
<italic>p</italic>-value&#x2a;&#x2a;</th>
</tr>
<tr>
<th align="left"/>
<th colspan="2" align="center">N (%)</th>
<th colspan="2" align="center">N (%)</th>
<th align="left"/>
<th colspan="2" align="center">N (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">ITEM 1: Dose not taken</td>
<td colspan="2" align="center">84 (78.5%)</td>
<td colspan="2" align="center">24 (22.8%)</td>
<td align="center">0.0001</td>
<td colspan="2" align="center">23 (25.2%)</td>
<td align="center">0.0001</td>
</tr>
<tr>
<td align="left">ITEM 2: Consecutive doses not taken</td>
<td colspan="2" align="center">66 (61.7%)</td>
<td colspan="2" align="center">12 (11.4%)</td>
<td align="center">0.0001</td>
<td colspan="2" align="center">19 (20.9%)</td>
<td align="center">0.0001</td>
</tr>
<tr>
<td align="left">ITEM 3: Dose taken with delay</td>
<td colspan="2" align="center">63 (58.9%)</td>
<td colspan="2" align="center">15 (14.3%)</td>
<td align="center">0.0001</td>
<td colspan="2" align="center">21 (23.1%)</td>
<td align="center">0.0001</td>
</tr>
<tr>
<td align="left">ITEM 4: Dose auto-reduced</td>
<td colspan="2" align="center">5 (4.7%)</td>
<td colspan="2" align="center">3 (2.8%)</td>
<td align="center">0.7214</td>
<td colspan="2" align="center">-</td>
<td align="center">0.0634</td>
</tr>
<tr>
<td align="left">Overall Adherence&#x2a;</td>
<td colspan="2" align="center">17 (15.9%)</td>
<td colspan="2" align="left"/>
<td align="left"/>
<td colspan="2" align="center">62 (68.1%)</td>
<td align="center">0.0001</td>
</tr>
<tr>
<td align="left">
<bold>VAS</bold>
</td>
<td align="center">
<bold>Median</bold>
</td>
<td align="center">
<bold>IQR</bold>
</td>
<td align="center">
<bold>Median</bold>
</td>
<td align="center">
<bold>IQR</bold>
</td>
<td align="center">
<bold>
<italic>p</italic>-value&#x2a;&#x2a;&#x2a;</bold>
</td>
<td align="center">
<bold>Mean</bold>
</td>
<td align="center">
<bold>IQR</bold>
</td>
<td align="center">
<bold>
<italic>p</italic>-value&#x2a;&#x2a;&#x2a;</bold>
</td>
</tr>
<tr>
<td align="left">SCALE 0-100</td>
<td align="center">90</td>
<td align="center">75&#x2013;100</td>
<td align="center">97</td>
<td align="center">85&#x2013;100</td>
<td align="center">0.0009</td>
<td align="center">95</td>
<td align="center">87&#x2013;100</td>
<td align="center">0.0008</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The three separate questions regarding QoL were completed by all participants at baseline. At baseline 66 (61.7%) patients indicated that they experienced difficulty with taking multiple doses of immunosuppressants daily, which was similar after 12 months (<italic>n</italic> &#x3d; 69; 65.7%) and 120&#xa0;months (<italic>n</italic> &#x3d; 61; 67%). Filter questions showed that 40 (60.6%), 49 (71.0%) and 45 (73.8%) of patients found it very difficult to take more than one type of drug at baseline, 12&#xa0;months and 120 months, respectively. Twenty-six (39.4%), 20 (72.4%) and 48 (78.7%) patients found it very difficult to take one or more doses of the same drug at baseline, 12&#xa0;months and 120&#xa0;months, respectively. Thirty (45.4%), 67 (97.1%) and 60 (98.4%) patients found it very difficult to take drugs at different times at baseline, 12&#xa0;months and 120&#xa0;months, respectively.</p>
<p>The second item addressed the degree of satisfaction with the PR-Tac therapeutic regimen. The data showed that 98 (93.3%) and 79 (86.8%) patients were very satisfied at 12 and 120&#xa0;months, respectively. The third item asked if there had been an improvement in QoL after conversion. Eighty (76.2%) and 75 (82.4%) patients confirmed that their QoL had improved at 12 and 120&#xa0;months respectively, with the filter question showing that 82.5% and 86.8% felt that QoL had very much improved at 12 and 120 months, respectively (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>QoL questionnaire administered at 12 and 120&#xa0;months: items 1, 2 and 3.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">N</th>
<th align="center">Item</th>
<th align="center">Answer</th>
<th align="center">Baseline N &#x3d; 107</th>
<th align="center">12&#xa0;months <italic>n</italic> &#x3d; 105</th>
<th align="center">120&#xa0;months <italic>n</italic> &#x3d; 91</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="11" align="left">1</td>
<td rowspan="2" align="left">Do you consider it difficult to take two or more doses of immunosuppressant drugs during the day?</td>
<td align="left">Yes</td>
<td align="center">66 (61.7%)</td>
<td align="center">69 (65.7%)</td>
<td align="center">61 (67%)</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">41 (38.3%)</td>
<td align="center">36 (34.3%)</td>
<td align="center">30 (33%)</td>
</tr>
<tr>
<td rowspan="3" align="left">&#x2022; Take one or more types of drugs</td>
<td align="left">Very difficult</td>
<td align="center">40 (60.6%)</td>
<td align="center">49 (71.0%)</td>
<td align="center">45 (73.8%)</td>
</tr>
<tr>
<td align="left">Average</td>
<td align="center">26 (39.4%)</td>
<td align="center">20 (29.0%)</td>
<td align="center">16 (26.2%)</td>
</tr>
<tr>
<td align="left">Easy</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="3" align="left">&#x2022; Take one or more tablets for type of drug</td>
<td align="left">Very difficult</td>
<td align="center">26 (39.4%)</td>
<td align="center">50 (72.4%)</td>
<td align="center">48 (78.7%)</td>
</tr>
<tr>
<td align="left">Average</td>
<td align="center">40 (60.6%)</td>
<td align="center">19 (27.5%)</td>
<td align="center">13 (21.3%)</td>
</tr>
<tr>
<td align="left">Easy</td>
<td align="center">3 (6.54%)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="3" align="left">&#x2022; Take the drug at different times</td>
<td align="left">Very difficult</td>
<td align="center">30 (45.4%)</td>
<td align="center">67 (97.1%)</td>
<td align="center">60 (98.4%)</td>
</tr>
<tr>
<td align="left">Average</td>
<td align="center">31 (47.0%)</td>
<td align="center">2 (2.9%)</td>
<td align="center">1 (1.6%)</td>
</tr>
<tr>
<td align="left">Easy</td>
<td align="center">5 (7.6%)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="4" align="left">2</td>
<td rowspan="4" align="left">Indicate the degree of satisfaction of the new regimen of taking the drug</td>
<td align="left">Very satisfying</td>
<td align="center">&#x2014;</td>
<td align="center">98 (93.3%)</td>
<td align="center">79 (86.8%)</td>
</tr>
<tr>
<td align="left">Average</td>
<td align="center">&#x2014;</td>
<td align="center">1 (0.9%)</td>
<td align="center">10 (11.0%)</td>
</tr>
<tr>
<td align="left">Unsatisfactory</td>
<td align="center">&#x2014;</td>
<td align="center">1 (0.9%)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">Indifferent</td>
<td align="center">&#x2014;</td>
<td align="center">5 (4.9%)</td>
<td align="center">2 (2.2%)</td>
</tr>
<tr>
<td rowspan="5" align="left">3</td>
<td rowspan="2" align="left">Do you feel an improvement in the quality of your life?</td>
<td align="left">Yes</td>
<td align="center">&#x2014;</td>
<td align="center">80 (76.2%)</td>
<td align="center">75 (82.4%)</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">&#x2014;</td>
<td align="center">25 (23.8%)</td>
<td align="center">16 (17.6%)</td>
</tr>
<tr>
<td rowspan="3" align="left">&#x2022; Indicate how much your life has improved</td>
<td align="left">Very much</td>
<td align="center">&#x2014;</td>
<td align="center">66 (82.5%)</td>
<td align="center">79 (86.8%)</td>
</tr>
<tr>
<td align="left">Average</td>
<td align="center">&#x2014;</td>
<td align="center">10 (12.5%)</td>
<td align="center">11 (12.1%)</td>
</tr>
<tr>
<td align="left">Very little</td>
<td align="center">&#x2014;</td>
<td align="center">4 (5.0%)</td>
<td align="center">1 (1.1%)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Third Endpoint (C/D Ratio and Intra-patient Variability)</title>
<p>The median C/D ratio at baseline was 2.67 (IQR, 2.7&#x2013;4.0). After one and 12 months, the ratio decreased to 1.87 (IQR, 1.9&#x2013;2.6) and 2.03 (IQR, 2.0&#x2013;2.6), respectively and remained stable during the follow up (2.03 [IQR, 2.0&#x2013;2.9]: <italic>p</italic> &#x3c; 0.000001) (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Boxplots showing median, interquartile range and 5th/95th percentile of CD/ratio as a function of timepoint.</p>
</caption>
<graphic xlink:href="ti-35-10384-g003.tif"/>
</fig>
<p>We observed a significant effect of the timepoint factor (<italic>p</italic> &#x3c; 0.0001) associated with the following differences: 12&#xa0;months vs. baseline, 1, 6, 60, 120&#xa0;months (12&#xa0;m &#x3c; baseline: <italic>p</italic> &#x3d; 0.0001, 12&#xa0;m &#x3e; 1&#xa0;m: <italic>p</italic> &#x3d; 0.001, 12&#xa0;m &#x3e; 6&#xa0;m: <italic>p</italic> &#x3d; 0.007, 12&#xa0;m &#x3c; 60&#xa0;m: <italic>p</italic> &#x3d; 0.001, 12&#xa0;m &#x3e; 120&#xa0;m: <italic>p</italic> &#x3d; 0.053), 6&#xa0;months vs. baseline, 1, 12, 60, 120&#xa0;months (6&#xa0;m &#x3c; baseline, 6&#xa0;m &#x3e; 1&#xa0;m, 6&#xa0;m &#x3c; 12&#xa0;m, 6&#xa0;m &#x3c; 60&#xa0;m, 6&#xa0;m &#x3c; 120&#xa0;m; all <italic>p</italic> &#x3d; 0.0001), 1&#xa0;month vs. baseline, 6, 12, 60, 120&#xa0;months (1&#xa0;m &#x3c; baseline, 1&#xa0;m &#x3c; 6&#xa0;m, 1&#xa0;m &#x3c; 12&#xa0;m, 1&#xa0;m &#x3c; 60&#xa0;m, 1&#xa0;m &#x3c; 120&#xa0;m; all <italic>p</italic> &#x3d; 0.0001), 120&#xa0;months vs. baseline, 1, 6, 12, 60&#xa0;months (120&#xa0;m &#x3c; baseline, 120&#xa0;m &#x3e; 1&#xa0;m, 120&#xa0;m &#x3e; 6&#xa0;m, 120&#xa0;m &#x3c; 12&#xa0;m, 120&#xa0;m &#x3c; 60&#xa0;m; all <italic>p</italic> &#x3d; 0.0001). In addition, we compared 10 consecutive pre-conversion timepoints to 10 consecutive post-conversion measurements to evaluate the change of Tac blood levels and dose in a long-term observation: the mean C/D ratio was significantly higher pre-conversion compared to post conversion (3.29 [IQR, 2.7&#x2013;4] versus 2.58[IQR, 2.3&#x2013;2.9]: <italic>p</italic> &#x3d; 0.008), while the coefficient of variation of the C/D ratio was significantly lower pre-conversion compared to post-conversion (2.12 versus 1.19: <italic>p</italic> &#x3d; 0.003).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>IR-Tac was considered a pillar of immunosuppressive therapy for solid organ transplantation for nearly 20&#xa0;years, with excellent protection against organ rejection. Many studies have evaluated the effectiveness of converting from IR-Tac to PR-Tac, the latter able to facilitate adherence, to improve the QoL of transplant recipients and consequently their long-term results. (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). In 2005, Florman et al. (<xref ref-type="bibr" rid="B6">6</xref>) reported the first conversion pharmacokinetics for stable LT recipients, concluding that the steady-state Tacrolimus exposure of PR-Tac was equivalent to IR-Tac after conversion on a milligram-for-milligram basis in stable LT recipients.</p>
<p>In our study the Tac blood levels decreased following conversion in 76% of cases and remained stable to the end of follow-up, which is similar to previously reported studies (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>An important aspect of this study is the side-effect profile of the anti-rejection drugs correlating to tac blood levels. The initial phase showed a decrease in Tac blood levels over time. Despite this, graft function remained stable with good function and was maintained over time with less side-effects. Time impacted significantly on serum Tac blood levels, which dropped sharply in the early post-conversion period.</p>
<p>With normal aging, nephron loss occurs and is detectable to some extent by the age-related decrease in eGFR (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Several studies that have analyzed the deterioration of renal function with increasing age in the healthy population show that eGFR shows a physiologic decrease between 0.3 and 1.4&#xa0;ml/min/1.73&#xa0;m<sup>2</sup>/year (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). In addition, calcineurin inhibitors, widely recognized as the mainstay of IS used to prevent graft rejection, have an important nephrotoxic side-effect profile. The expected gradual reduction in eGFR in LT recipients is the result of different mechanisms including immunologically mediated damage concurrent to the IS side-effects, nephrotoxicity and the development of cardiovascular risk factors (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B33">33</xref>). However, a significant improvement in renal function was seen in our study: using eGFR, a significant effect of the timepoint factor (<italic>p</italic> &#x3c; 0.0001) was seen, with a retrospective comparison showing the following differences at baseline vs. 1&#xa0;month (<italic>p</italic> &#x3c; 0.0001), baseline vs. 6&#xa0;months (<italic>p</italic> &#x3d; 0.049), month 1 vs. 6, 12, 60, and 120 (all <italic>p</italic> &#x3c; 0.001). There were no new cases of posttransplant diabetes or glucose intolerance or any increase in adverse events associated with Tacrolimus use after conversion to PR-Tac.</p>
<p>It can be hypothesized that extended-release Tac may influence drug absorption and avoid drug peaks whilst maintaining adequate drug blood levels to avoid rejection.</p>
<p>Self-reporting adherence instruments having a tendency to overestimate adherence and under-report non-adherence due to increased awareness and pleasing the physician. However, BAASIS is considered a valid tool as it uses a rigorous definition of non-adherence, classifying a patient as non-adherent in case of positive answer to any of the four questions to be given. Non-adherence at study entry was considerably high especially regarding the evening dose, which has also been found by previous studies (<xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B34">34</xref>). At the end of the follow-up, however, these high adherence rates increased even further. The data clearly demonstrate that simply reducing the number of daily doses positively influences adherence leading to improved compliance and patient satisfaction. The important improvement in adherence following conversion to PR-Tac formulation is also evidenced in previously published studies. (<xref ref-type="bibr" rid="B35">35</xref>-<xref ref-type="bibr" rid="B37">37</xref>)</p>
<p>Adherence rates improved significantly between baseline and the end of the study in terms of missing one or more doses, violating drug timing and autonomous prescription modification. Patients themselves felt more adherent at the end of the study with 97% of patients defining themselves as &#x201c;adherent&#x201d; at 120&#xa0;months compared with 90% at baseline. Patients reported having difficulty taking more than one IS drug in 61.7% of cases before conversion, not knowing about PR-Tac, subsequently, 93.3% defining the PR-Tac regimen as &#x201c;very satisfactory.&#x201d; During medical interviews, 68% referred the evening dose as being the most difficult to self-administer for perceived interference with social life and sense of freedom. This has radically changed following conversion to PR-Tac.</p>
<p>Freedom of choice relating to time of drug administration directly impacted on perception of improvement in QoL for the majority of patients. QoL improvement was reported in over 82.4% of patients in our study following conversion. The reason why we decided to use a <italic>de novo</italic> questionnaire, drawn up and validated in collaboration with the Center for Psychology of our hospital, is due to the fact that in the literature, in our opinion, there were no validated questionnaires that had the characteristics, suitable for a complete evaluation of our patients which would allow us to obtain such complete results and which went hand in hand with the BAASIS, used for the assessment of adherence. The fact that no patient enrolled, with the sole constraint of taking IR-Tac for at least 6&#xa0;months before signing the informed consent to the study, was for us surprising evidence of the excellent relationship of trust that we establish every day with all the people we follow in our post-transplant clinic and further confirmation of the patients&#x2019; desire to seek &#x201c;simpler&#x201d; therapy regimens to follow.</p>
<p>Despite the absence of a control group that may evidence bias, we have considered the group itself before conversion as satisfactory for comparison.</p>
<p>There is significantly less intrasubject variability in exposure after conversion to PR-Tac: the mean C/D ratio was significantly (<italic>p</italic> &#x3d; 0.008) higher pre-conversion as compared to post conversion, while the coefficient of variation of the C/D ratio was significantly (<italic>p</italic> &#x3d; 0.003) lower pre-conversion compared to post-conversion, indicating greater stability post-conversion compared to pre-conversion.</p>
<p>In conclusion, our study demonstrates that 1:1 conversion from IR-TAC to PR-TAC is safe, feasible, efficient, and well-tolerated. Hepatic and renal function was closely monitored and no major dose adjustment to correct low Tac blood levels were required. Stable LT patients can be successfully switched from IR-Tac to PR-Tac formulation without risk of acute rejection even in the short term. A simplified formulation of Tac can improve patient adherence and their QoL. Improvement of renal function is probably due to lower Tac blood level exposure.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Independent Ethics Committee Fondazione PTV &#x201c;Policlinico Tor Vergata,&#x201d; Rome. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>LT and GT conceived of the presented study. LT, TM, FB, IL, and LB collected the data and revised the manuscript critically. LT and FB organized the database. NT performed the statistical analysis. LT wrote the first draft of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<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>Maruska C. Nizzi, Medical English Consultant. Furthermore, editorial support was received as part of the partnership between the European Society for Organ Transplantation and the Center for Evidence in Transplantation.</p>
</ack>
<sec id="s9">
<title>Abbreviations</title>
<p>BAASIS, Basel Assessment of Adherence Scale to Immunosuppressives; C/D, concentration/dose ratio; IR-Tac, immediate-release Tacrolimus formulation; PR-Tac, prolonged-release Tacrolimus formulation; VAS, Visual Analog Scale.</p>
</sec>
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