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<article article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JRENHEP</journal-id>
<journal-title-group>
<journal-title>Journal of Renal and Hepatic Disorders</journal-title>
<abbrev-journal-title>JRENHEP</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2207-3744</issn>
<publisher>
<publisher-name>Codon Publications</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">JRENHEP-4-061</article-id>
<article-id pub-id-type="doi">10.15586/jrenhep.2020.77</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article Nephrology</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Histological Evaluation of Extended Criteria Donors: Donor&#x2019;s Kidney Biopsy and Graft Outcome after 5 Years of Transplantation</article-title>
</title-group>
<contrib-group content-type="authors">
<contrib contrib-type="author" corresp="yes"><name><surname>Carta</surname> <given-names>Paolo</given-names></name><xref ref-type="corresp" rid="cor1"/></contrib> 
<contrib contrib-type="author"><name><surname>Bartaletti</surname> <given-names>Emma</given-names></name></contrib> 
<contrib contrib-type="author"><name><surname>Ghiandai</surname> <given-names>Giulia</given-names></name></contrib> 
<contrib contrib-type="author"><name><surname>Caroti</surname> <given-names>Leonardo</given-names></name></contrib> 
<contrib contrib-type="author"><name><surname>Larti</surname> <given-names>Aida</given-names></name></contrib> 
<contrib contrib-type="author"><name><surname>Di Maria</surname> <given-names>Lorenzo</given-names></name></contrib> 
<contrib contrib-type="author"><name><surname>Cirami</surname> <given-names>Lino</given-names></name></contrib>
<aff id="aff1">Nephrology Unit, Careggi University Hospital, Florence, Italy</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><italic>Author for correspondence</italic>: Dr. Paolo Carta, Nephrology Unit, Careggi University Hospital, Viale Pieraccini 18, 50134 Florence, Italy. Email: <email>cartapa@aou-careggi.toscana.it</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>11</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection"><year>2020</year></pub-date>
<volume>4</volume>
<issue>2</issue>
<fpage>61</fpage>
<lpage>66</lpage>
<history>
<date date-type="received"><day>29</day><month>05</month><year>2020</year></date>
<date date-type="accepted"><day>29</day><month>10</month><year>2020</year></date>
</history>
<permissions>
<copyright-statement><italic>Copyright</italic>: Paolo Carta</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This open access article is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/">http://creativecommons.org/</ext-link></license-p>
</license>
</permissions>
<abstract>
<p>Pre-transplant kidney biopsy is routinely used to decide whether kidneys from marginal donors should be transplanted as single or double transplantation. This is a 5-year extension of the follow-up of a previous study. In that study, graft outcomes were compared retrospectively between a group of 44 recipients of a single kidney graft from an extended criteria donor and a Karpinski histological score of &#x2264;3, and another group of 56 recipients of a single transplant with a Karpinski histological score of 4 or 5. After 5 years of transplantation, there was no difference between the two groups in terms of recipient&#x2019;s serum creatinine levels (1.8 &#x00B1; 0.5 vs 1.9 &#x00B1; 0.6 mg/dL, P = 0.5), creatinine clearance (53 &#x00B1; 23 vs 49 &#x00B1; 27.0 mL/min, P = 0.6), or the rates of graft loss (41% vs 49%,P = 0.5). Therefore, the choice between single and double transplant should not be made only on the basis of histological score but should be done together with the evaluation of donor&#x2019;s clinical parameters, especially the renal function.</p>
</abstract>
<kwd-group>
<kwd>extended criteria donors</kwd>
<kwd>Karpinski histological score</kwd>
<kwd>kidney transplantation</kwd>
<kwd>pre-implantation kidney biopsy</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Kidney transplantation is the best treatment for end-stage renal disease (ESRD), since it guarantees a better quality of life and longer patient survival than dialysis (<xref ref-type="bibr" rid="ref1">1</xref>). Although the use of extended criteria donors (ECDs) (<xref ref-type="bibr" rid="ref2">2</xref>&#x2013;<xref ref-type="bibr" rid="ref4">4</xref>), dual kidney transplantation, non-heart beating donors (<xref ref-type="bibr" rid="ref5">5</xref>), living and kidney paired donation (<xref ref-type="bibr" rid="ref6">6</xref>), and ABO-incompatible transplantation (<xref ref-type="bibr" rid="ref7">7</xref>) has increased the number of transplantations performed every year, the gap between organ&#x2019;s demand and offer is still increasing. Although in this era researchers are investigating the promising potential of regenerative nephrology (<xref ref-type="bibr" rid="ref8">8</xref>), an important area of research is directed to increase the number of transplantation by optimization of the usage of kidneys harvested from &#x201C;always more marginal donors&#x201D; to find the border between a transplantable organ and an insufficient renal function.</p>
<p>Pre-implantation kidney biopsy is a tool to define organ transplantability and to distinguish whether a kidney from an ECD should be allocated as a single kidney transplant (SKT) or a double kidney transplant (DKT) (<xref ref-type="bibr" rid="ref9">9</xref>). Until a few years ago, in our country, most of the transplant centers allocated kidneys to either SKT or DKT if the Karpinski histological score (<xref ref-type="bibr" rid="ref10">10</xref>) was &#x2264;3 or 4&#x2013;6, respectively, according to the protocol described by Remuzzi et al. (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). It is a common practice nowadays to be less stringent with this threshold, and today most of the transplant centers choose an SKT even if the Karpinski histological score is 4 or 5, but this choice is based more on the experience of the transplant center, rather than on the results of published studies.</p>
<p>In a previous study (<xref ref-type="bibr" rid="ref13">13</xref>), we observed that SKT was performed with the Karpinski histological score of &#x2264;3 as well as the score of 4 or 5 after 3 years of follow-up, provided that the donor had a good renal function (e<italic>stimated Glomerular Filtration Rate</italic> [eGFR] &#x003E; 55 mL/min) at the time of organ harvesting. This is a 5-year follow-up extension of our previous study to see whether the non-inferior outcomes of kidneys with the worst pathological lesions are maintained in the long term.</p>
</sec>
<sec id="S2">
<title>Materials and methods</title>
<p>Materials and methods are described in detail in our original work (<xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>Briefly, we selected from our cohort of transplanted patients 100 consecutive recipients of an SKT from an ECD with an eGFR of at least 55 mL/min at the time of organ retrieval. Of these, after 5 years of follow-up, we compared retrospectively 44 recipients with a pre-implantation Karpinski histological score of &#x2264;3 and 56 recipients who had a Karpinski histological score of 4 or 5.</p>
<p>Basal characteristics of both donors and recipients are compared in the original paper and reported here in <xref ref-type="table" rid="T1">Table 1</xref> for completeness.</p>
<table-wrap id="T1" orientation="portrait" position="float">
<label>Table 1:</label><caption><p>Donors&#x2019; characteristics.</p></caption>
<table frame="border" rules="all">
<thead valign="top">
<tr>
<th>&#x00A0;</th>
<th align="center">Group A</th>
<th colspan="2" align="center">Group B</th>
<th align="center">P</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td>Males (%)</td>
<td align="center">43.2</td>
<td colspan="2" align="center">48.2</td>
<td align="center">0.61</td>
</tr>
<tr>
<td>Age (years)<break/>Median age</td>
<td align="center">71.72 &#x00B1; 4.59<break/>71.5</td>
<td colspan="2" align="center">68.03 &#x00B1; 4.73<break/>68</td>
<td align="center">&#x003C;0.01</td>
</tr>
<tr>
<td>Creatinine levels (mg/dL)<break/>Median level</td>
<td align="center">0.85 &#x00B1; 0.30<break/>0.82</td>
<td colspan="2" align="center">0.83 &#x00B1; 0.24<break/>0.80</td>
<td align="center">0.381</td>
</tr>
<tr>
<td>eGFR (mL/min)<break/>Median</td>
<td align="center">76.39 &#x00B1; 26.53<break/>70.83</td>
<td colspan="2" align="center">85.8 &#x00B1; 28.2<break/>83.35</td>
<td align="center">0.013</td>
</tr>
<tr>
<td>Kidney longitudinal dimension by ultrasound (mm)<break/>Median</td>
<td align="center">107.54 &#x00B1; 9.4<break/>110</td>
<td colspan="2" align="center">108 &#x00B1; 8.0<break/>110</td>
<td align="center">0.893</td>
</tr>
<tr>
<td>Hypertension (%)</td>
<td align="center">31.8</td>
<td colspan="2" align="center">50</td>
<td align="center">0.10</td>
</tr>
<tr>
<td>Donor&#x2019;s cause of death<break/>Cardiovascular<break/>Non-cardiovascular</td>
<td align="center"><break/>38 (86.4%)<break/>6 (13.6%)</td>
<td colspan="2" align="center"><break/>40 (71.4%)<break/>16 (28.6%)</td>
<td align="center">0.74</td>
</tr>
<tr>
<td>&#x00A0;</td>
<td colspan="2" align="center"><bold><bold>Group A</bold></bold></td>
<td colspan="2" align="center"><bold><bold>Group B</bold></bold></td>
</tr>
<tr>
<td>Karpinski&#x2019;s histological score</td>
<td colspan="2" align="center">Score 1: 2 (4.5%)<break/>Score 2: 13 (29.5%)<break/>Score 3: 29 (65.9%)</td>
<td colspan="2" align="center">Score 4: 32 (57.1%)<break/>Score 5:24 (42.9%)</td>
</tr>
<tr>
<td>Vascular score</td>
<td colspan="2" align="center">Score 0: 4 (9.1%)<break/>Score 1: 38 (86.4%)<break/>Score 2: 2 (8.3%)</td>
<td colspan="2" align="center">Score 1: 34 (60.7%)<break/>Score 2: 22 (39.3%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1-1"><p>eGFR: e<italic>stimated glomerular filtration rate.</italic></p></fn></table-wrap-foot>
</table-wrap>
<p>We compared renal function in terms of creatinine and creatinine clearance using Student&#x2019;s <italic>t</italic>-test for independent samples or the Wilcoxon&#x2019;s rank-sum test, as appropriate. Graft survival was compared using the Kaplan&#x2013;Meier and log-rank tests.</p>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3_1">
<title>Donor characteristics</title>
<p>As discussed in our previous paper (<xref ref-type="bibr" rid="ref13">13</xref>), the baseline characteristics of donors and recipients were similar in the two groups and are reviewed in <xref ref-type="table" rid="T1">Tables 1</xref> and <xref ref-type="table" rid="T2">2</xref>.</p>
<table-wrap id="T2" orientation="portrait" position="float">
<label>Table 2:</label><caption><p>Recipients&#x2019; characteristics and results 5 years after transplantation.</p></caption>
<table frame="border" rules="all">
<thead valign="top">
<tr>
<th>&#x00A0;</th>
<th align="center">Group A</th>
<th align="center">Group B</th>
<th align="center">P</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td>Cold ischemia time (hours)<break/>Median</td>
<td align="center">18.0 &#x00B1; 7.2<break/>19</td>
<td align="center">19.6 &#x00B1; 6.5<break/>22</td>
<td align="center">0.17</td>
</tr>
<tr>
<td>HLA mismatches<break/>Median (quartiles)</td>
<td align="center">4<break/>(3&#x2013;4)</td>
<td align="center">4<break/>(3&#x2013;4.75)</td>
<td align="center">0.263</td>
</tr>
<tr>
<td>Creatinine levels (mg/dL)</td>
<td align="center">1.8 &#x00B1; 0.5</td>
<td align="center">1.9 &#x00B1; 0.6</td>
<td align="center">0.5</td>
</tr>
<tr>
<td>eGFR (mL/min)</td>
<td align="center">53 &#x00B1; 23</td>
<td align="center">49 &#x00B1; 27</td>
<td align="center">0.6</td>
</tr>
<tr>
<td>Age (years)</td>
<td align="center">60.18 &#x00B1; 6.09</td>
<td align="center">60.33 &#x00B1; 6.07</td>
<td align="center">1.0</td>
</tr>
<tr>
<td>Males</td>
<td align="center">32 (72.7%)</td>
<td align="center">40 (73.2%)</td>
<td align="center">1.0</td>
</tr>
<tr>
<td>DGF</td>
<td align="center">25 (58.1%)</td>
<td align="center">22 (39.3%)</td>
<td align="center">0.063</td>
</tr>
<tr>
<td>Cause of renal failure<break/>ADPKD<break/> Chronic GN<break/> Nephrosclerosis<break/> Unknown<break/> IgAN<break/> Diabetes<break/> Others</td>
<td align="center"><break/>8 (18.2%)<break/>9 (20.5%)<break/>10 (22.7%)<break/>6 (13.6%)<break/>2 (4.5%)<break/>0<break/>9 (20.5%)</td>
<td align="center"><break/>13 (23.2%)<break/>8 (14.3%)<break/>7 (12.5%)<break/>8 (14.3%)<break/>5 (8.9%)<break/>3 (5.2%)<break/>12 (21.4%)</td>
<td>&#x00A0;</td>
</tr>
<tr>
<td>Biopsy proven acute rejection</td>
<td align="center">8 (18.2%)</td>
<td align="center">8 (14.3%)</td>
<td align="center">0.598</td>
</tr>
<tr>
<td>Return to dialysis</td>
<td align="center">5 (11%)</td>
<td align="center">9 (17%)</td>
<td align="center">0.7</td>
</tr>
<tr>
<td>Death with a functioning graft</td>
<td align="center">13 (30%)</td>
<td align="center">17 (32%)</td>
<td align="center">0.43</td>
</tr>
<tr>
<td>Cause of death<break/>Infections<break/>Cardiovascular<break/>Neoplastic<break/>Others</td>
<td align="center"><break/>58.3%<break/>33.3 %<break/>8.4%</td>
<td align="center"><break/>61.1%<break/>11.1%<break/>27.7%</td>
<td>&#x00A0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF2-1"><p>Continuous variables are expressed as mean values &#x00B1; standard deviation, except for HLA mismatch (expressed as median values and quartiles). ADPKD: autosomal dominant polycystic kidney disease; GN: glomerulonephritis; IgAN: IgA nephropathy; HLA: human leukocyte antigen; eGFR: e<italic>stimated glomerular filtration rate;</italic> DGF: delayed graft function.</p></fn></table-wrap-foot>
</table-wrap>
<p>Renal function after 5 years of transplantation was not different between the two groups in terms of serum creatinine levels (1.8 &#x00B1; 0.5 vs 1.9 &#x00B1; 0.6 mg/dL, P = 0.5) or eGFR (53 &#x00B1; 23 vs 49 &#x00B1; 27.0 mL/min, P = 0.6).</p>
</sec>
<sec id="S3_2">
<title>Survival analysis</title>
<p>Patient survival after 5 years was 72% and 64% in groups A and B, respectively. The cause of death was related to infectious complications in 58.3%, cardiovascular disease in 33.3%, and malignancies in 8.4% of recipients in group A, while in group B, the cause of death was related to infection in 61.1%, cardiovascular disease in 11.1%, and other causes in 27.7% of recipients. Death-censored graft survival was 90.7% and 86.8% of patients in groups A and B, respectively.</p>
<p>The Kaplan&#x2013;Meier curves of death uncensored graft survival are shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. The log-rank analyses of both curves did not reveal any statistically significant difference in 5-year graft survival (P = 0.41) between the two groups. In the Cox regression, cold ischemia time and recipient&#x2019;s age were the only covariates that had an influence on graft survival (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<fig id="F1" orientation="portrait" position="float">
<label>Figure 1:</label>
<caption><p>Kaplan&#x2013;Meier curves for graft survival.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://jrenhep.com/article/download/77/version/50/149/1015/JRENHEP-4-061-g001.jpg"/>
</fig>
<table-wrap id="T3" orientation="portrait" position="float">
<label>Table 3:</label><caption><p>Cox regression.</p></caption>
<table frame="border" rules="all">
<thead valign="top">
<tr>
<th rowspan="2"></th>
<th rowspan="2">HR</th>
<th colspan="2">95% CI</th>
<th rowspan="2">P</th>
</tr>
<tr>
<th>Inferior</th>
<th>Superior</th>
</tr></thead>
<tbody valign="top">
<tr>
<td>Recipient&#x2019;s age</td>
<td align="center">1.071</td>
<td align="center">1.004</td>
<td>1.142</td>
<td align="center">0.036</td>
</tr>
<tr>
<td>Donor&#x2019;s age</td>
<td align="center">0.976</td>
<td align="center">0.904</td>
<td>1.054</td>
<td align="center">0.540</td>
</tr>
<tr>
<td>Cold ischemia</td>
<td align="center">1.133</td>
<td align="center">1.016</td>
<td>1.264</td>
<td align="center">0.025</td>
</tr>
<tr>
<td>Donor&#x2019;s serum creatinine</td> 
<td align="center">3.155</td>
<td align="center">0.748</td>
<td>13.305</td>
<td align="center">0.118</td>
</tr>
<tr>
<td>Histological score 1&#x2013;3 or 4&#x2013;5</td>
<td align="center">0.663</td>
<td align="center">0.311</td>
<td>1.413</td>
<td align="center">0.287</td>
</tr>
<tr>
<td>Kidney longitudinal dimension</td>
<td align="center">1.004</td>
<td align="center">0.961</td>
<td>1.048</td>
<td align="center">0.866</td>
</tr>
<tr>
<td>Acute rejection</td>
<td align="center">0.487</td>
<td align="center">0.193</td>
<td>1.227</td>
<td align="center">0.127</td>
</tr>
<tr>
<td>DGF</td>
<td align="center">0.942</td>
<td align="center">0.461</td>
<td>1.925</td>
<td align="center">0.870</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF3-1"><p>DGF: delayed graft function; 95% CI: 95% confidence interval.</p></fn></table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3_3">
<title>Other parameters</title>
<p>As reported in our previous study, other parameters that we evaluated might have had an influence on graft survival or renal function were not statistically diffrentin both groups. The rate of acute rejection has been 18% and 14% in groups A and B, respectively. The rate of delayed graft function was comparable in both groups (56% vs 39%; P = 0.06).</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>In this study, we compared retrospectively the graft outcomes and renal function 5 years after transplantation of SKT harvested from ECD withthe standard Karpisnki histological score (KS &#x2264; 3, Group A) versus SKT with a score usually transplanted as DKT (KS = 4 or 5, Group B). The histological criteria to allocated kidneys from ECD donors are based on the Remuzzi study (<xref ref-type="bibr" rid="ref12">12</xref>).</p>
<p>Our data analysis confirms the results obtained in the previous study, which compared the outcomes after 2 years of the transplant (<xref ref-type="bibr" rid="ref13">13</xref>): there are no statistically significant differences for organ survival between the two groups. A good kidney function can guarantee a good organ survival regardless of the histological score (provided &#x2264;5). Five-year organ survival is similar between the two groups (P = 0.4) and it&#x2019;s the same for patient survival (P = 0.61).</p>
<p>This study could underline the importance of the evaluation of donor&#x2019;s renal function in addition to the histological score.</p>
<p>In literature we can find other studies on ECD that agree with our study.</p>
<p>In 2017, Escuredo et al. (<xref ref-type="bibr" rid="ref14">14</xref>) published a study on organ allocation based on the Kidney Donor Profile Index (KDPI) and Pretransplant Donor Biopsies (PTDB). The cited study analyzes the problem of allocation decision in the manner opposite to ours, that is, at many centers, kidneys with KDPI &#x003E; 85% are discarded. They compared the survival of kidney after 5 years between patient groups with PTDB based on the Remuzzi score of &#x2264;4 and different KDPI. The cited study concludes that organs with KDPI &#x003E; 91% and PTDB based on the Remuzzi score = 4 are suitable for assignment to SKT, with guarantee of good survival despite the high calculated risk and high Remuzzi score. This study underlines that it is essential to integrate clinical data with biopsy data, while the exclusive use of one of the two methods is excessively restrictive.</p>
<p>In 2015, Wang et al. (<xref ref-type="bibr" rid="ref15">15</xref>) published a systematic review of medical literature on the utility of both procurement and implantation biopsies for predicting post-transplant outcomes. Between January 1, 1994 and July 1, 2014, 47 studies were published that examined the association between pretransplant donor biopsy findings of 50 or more donors (with more than half being from deceased donors) and either post-transplant graft failure, delayed graft function, or graft function. Of 15 semiquantitative scoring systems proposed, none consistently predicted post-transplant outcomes across studies, suggesting that the role of pretransplant kidney biopsy may be reconsiderated.</p>
<p>We recognize limitations of our study: it is a retrospective study, analyzes the data of a single center, and takes into consideration a small patient population.</p>
<p>Another aspect to underline concerns is histology: biopsy analyses can be influenced by operator-dependent variability. The transplants selected in the study were performed within a 5-year period. A 5-year follow-up is enough period to predict long-term survival of transplant in the group with the worst histological score.</p>
<p>The age and glomerular filtrate of donors are statistically different between the two groups; paradoxically, group B donors have better basal characteristics. Comparing data, group B donors are younger than 3 years and have an average glomerular filtrate of 9 mL/min better than group A donors.</p>
<p>We do not consider this a mistake because it has been shown to have no impact on survival, rather these differences underline the main purpose of the study: to safely allocate kidneys with a histological score of 4&#x2013;5 for SKT, we must pay particular attention to select only kidneys with preserved renal function.</p>
<p>Immunosuppressive therapy needs a further comment. A slightly higher percentage of group B recipients were treated with immunosuppressant Everolimus.</p>
<p>This could lead one to suspect that the difference in GFR in favor of group B recipients is due to a reduced exposure to calcineurin inhibitor. However, we believe this doubt to be unfounded because only 13% of the group B patients were treated with mTOR-i, and therefore the difference in GFR cannot be attributed only to exposure to cyclosporine.</p>
</sec>
<sec id="S5" sec-type="conclusions">
<title>Conclusions</title>
<p>Our study confirms that with an accurate selection of donor, transplantation of a kidney with a Karpinski histological score 4 or 5 is a safe strategy. This allowed us to increase the number of ECD transplantations by 23%, and the total number of transplants by 9%, without any evident adverse effect on transplant outcomes after 5 years.</p></sec>
</body>
<back>
<fn-group>
<fn id="fn1"><p><italic>How to cite</italic>: Paolo Carta. Donor&#x2019;s Kidney Biopsy and Graft Outcome after 5 Years of Transplantation. J Ren Hepat Disord. 2020;4(2): 61&#x2013;66.</p></fn></fn-group>
<ref-list>
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