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Risk Factors for BK Polyoma Virus Treatment and Association of Treatment With Kidney Transplant Failure: Insights From a Paired Kidney Analysis.

Identifieur interne : 000A26 ( Main/Exploration ); précédent : 000A25; suivant : 000A27

Risk Factors for BK Polyoma Virus Treatment and Association of Treatment With Kidney Transplant Failure: Insights From a Paired Kidney Analysis.

Auteurs : Sobhana Thangaraju [États-Unis] ; Jagbir Gill ; Allissa Wright ; Jianghu Dong ; Caren Rose ; John Gill

Source :

RBID : pubmed:27003098

Descripteurs français

English descriptors

Abstract

BACKGROUND

Identification of risk factors for BK polyoma virus (BKPyV) without confounding by donor factors and era effects in paired analysis may inform strategies to prevent BKPyV.

METHODS

In this analysis of 21,575 mate kidney pairs in the Scientific Registry of Transplant Recipients between 2004 and 2010, the presence of a treatment code for BKPyV virus in follow-up forms was used to identify pairs in which 1 of 2 mate kidneys was treated (discordant treatment) or both mate kidneys were treated (concordant treatment).

RESULTS

Among 1975 discordant pairs, younger than 18 years or 60 years or older, male sex, HLA mismatch or 4 greater, acute rejection, and depleting antibody induction had a higher odds of treatment, whereas diabetes and sirolimus had a lower odds of treatment, and treatment was associated with a higher risk of allograft failure (hazards ratio, 2.01; 95% confidence interval, 1.63-2.48). The rate of concordant treatment (0.81%) was 2.8 times higher than expected. Concordant treatment was associated with nonwhite donor ethnicity, donation after circulatory death, transplantation after 2008, and transplantation of mate kidneys in the same center.

CONCLUSIONS

This analysis of kidneys from the same donor in which only 1 transplant was treated for BKPyV identifies specific risk factors (age <18 or ≥ 60 years, male sex, depleting antibody, HLA mismatch ≥ 4) for BKPyV and provides an estimate of the BKPyV-associated risk of allograft failure (hazards ratio = 2.01) without confounding by donor factors or era effects. The higher than expected rate of concordant treatment suggests the importance of donor factors in BKPyV pathogenesis and warrants further study.


DOI: 10.1097/TP.0000000000000890
PubMed: 27003098


Affiliations:


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Le document en format XML

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<term>Antiviral Agents (therapeutic use)</term>
<term>BK Virus (drug effects)</term>
<term>BK Virus (pathogenicity)</term>
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<term>Opportunistic Infections (drug therapy)</term>
<term>Opportunistic Infections (immunology)</term>
<term>Opportunistic Infections (mortality)</term>
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<term>Transplantation rénale (méthodes)</term>
<term>Virus BK (effets des médicaments et des substances chimiques)</term>
<term>Virus BK (pathogénicité)</term>
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<term>Antigènes HLA</term>
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<term>Infections à polyomavirus</term>
<term>Infections à virus oncogènes</term>
<term>Maladies du rein</term>
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<term>Opportunistic Infections</term>
<term>Polyomavirus Infections</term>
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<term>Kidney Transplantation</term>
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<term>Infections à polyomavirus</term>
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<term>Infections à polyomavirus</term>
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<term>Adult</term>
<term>Age Factors</term>
<term>Female</term>
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<term>Humans</term>
<term>Immunocompromised Host</term>
<term>Kaplan-Meier Estimate</term>
<term>Male</term>
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<term>Proportional Hazards Models</term>
<term>Registries</term>
<term>Risk Adjustment</term>
<term>Risk Factors</term>
<term>Sex Factors</term>
<term>Time Factors</term>
<term>Tissue Donors</term>
<term>Treatment Failure</term>
<term>Viral Load</term>
<term>Young Adult</term>
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<term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Ajustement du risque</term>
<term>Charge virale</term>
<term>Donneurs de tissus</term>
<term>Enregistrements</term>
<term>Estimation de Kaplan-Meier</term>
<term>Facteurs de risque</term>
<term>Facteurs sexuels</term>
<term>Facteurs temps</term>
<term>Facteurs âges</term>
<term>Femelle</term>
<term>Histocompatibilité</term>
<term>Humains</term>
<term>Jeune adulte</term>
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<front>
<div type="abstract" xml:lang="en">
<p>
<b>BACKGROUND</b>
</p>
<p>Identification of risk factors for BK polyoma virus (BKPyV) without confounding by donor factors and era effects in paired analysis may inform strategies to prevent BKPyV.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHODS</b>
</p>
<p>In this analysis of 21,575 mate kidney pairs in the Scientific Registry of Transplant Recipients between 2004 and 2010, the presence of a treatment code for BKPyV virus in follow-up forms was used to identify pairs in which 1 of 2 mate kidneys was treated (discordant treatment) or both mate kidneys were treated (concordant treatment).</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>Among 1975 discordant pairs, younger than 18 years or 60 years or older, male sex, HLA mismatch or 4 greater, acute rejection, and depleting antibody induction had a higher odds of treatment, whereas diabetes and sirolimus had a lower odds of treatment, and treatment was associated with a higher risk of allograft failure (hazards ratio, 2.01; 95% confidence interval, 1.63-2.48). The rate of concordant treatment (0.81%) was 2.8 times higher than expected. Concordant treatment was associated with nonwhite donor ethnicity, donation after circulatory death, transplantation after 2008, and transplantation of mate kidneys in the same center.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSIONS</b>
</p>
<p>This analysis of kidneys from the same donor in which only 1 transplant was treated for BKPyV identifies specific risk factors (age <18 or ≥ 60 years, male sex, depleting antibody, HLA mismatch ≥ 4) for BKPyV and provides an estimate of the BKPyV-associated risk of allograft failure (hazards ratio = 2.01) without confounding by donor factors or era effects. The higher than expected rate of concordant treatment suggests the importance of donor factors in BKPyV pathogenesis and warrants further study.</p>
</div>
</front>
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<Month>08</Month>
<Day>08</Day>
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<Year>2016</Year>
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<Month>Apr</Month>
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<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Identification of risk factors for BK polyoma virus (BKPyV) without confounding by donor factors and era effects in paired analysis may inform strategies to prevent BKPyV.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">In this analysis of 21,575 mate kidney pairs in the Scientific Registry of Transplant Recipients between 2004 and 2010, the presence of a treatment code for BKPyV virus in follow-up forms was used to identify pairs in which 1 of 2 mate kidneys was treated (discordant treatment) or both mate kidneys were treated (concordant treatment).</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Among 1975 discordant pairs, younger than 18 years or 60 years or older, male sex, HLA mismatch or 4 greater, acute rejection, and depleting antibody induction had a higher odds of treatment, whereas diabetes and sirolimus had a lower odds of treatment, and treatment was associated with a higher risk of allograft failure (hazards ratio, 2.01; 95% confidence interval, 1.63-2.48). The rate of concordant treatment (0.81%) was 2.8 times higher than expected. Concordant treatment was associated with nonwhite donor ethnicity, donation after circulatory death, transplantation after 2008, and transplantation of mate kidneys in the same center.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This analysis of kidneys from the same donor in which only 1 transplant was treated for BKPyV identifies specific risk factors (age <18 or ≥ 60 years, male sex, depleting antibody, HLA mismatch ≥ 4) for BKPyV and provides an estimate of the BKPyV-associated risk of allograft failure (hazards ratio = 2.01) without confounding by donor factors or era effects. The higher than expected rate of concordant treatment suggests the importance of donor factors in BKPyV pathogenesis and warrants further study.</AbstractText>
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<LastName>Thangaraju</LastName>
<ForeName>Sobhana</ForeName>
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<Affiliation>1 Division of Nephrology, University of British Columbia, Vancouver, British Columbia, Canada.2 Center for Health Evaluation and Outcomes Sciences, Vancouver, British Columbia, Canada.3 Division of Infectious Disease, University of British Columbia, Vancouver, British Columbia, Canada.4 Tufts-New England Medical Center, Boston, MA.</Affiliation>
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<QualifierName UI="Q000472" MajorTopicYN="N">pathogenicity</QualifierName>
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<name sortKey="Dong, Jianghu" sort="Dong, Jianghu" uniqKey="Dong J" first="Jianghu" last="Dong">Jianghu Dong</name>
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<name sortKey="Gill, John" sort="Gill, John" uniqKey="Gill J" first="John" last="Gill">John Gill</name>
<name sortKey="Rose, Caren" sort="Rose, Caren" uniqKey="Rose C" first="Caren" last="Rose">Caren Rose</name>
<name sortKey="Wright, Allissa" sort="Wright, Allissa" uniqKey="Wright A" first="Allissa" last="Wright">Allissa Wright</name>
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<name sortKey="Thangaraju, Sobhana" sort="Thangaraju, Sobhana" uniqKey="Thangaraju S" first="Sobhana" last="Thangaraju">Sobhana Thangaraju</name>
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