Dataset Information

Archetype Analysis Identifies Distinct Profiles in Renal Transplant Recipients with Transplant Glomerulopathy Associated with Allograft Survival.

ABSTRACT:

Background

Transplant glomerulopathy, a common glomerular lesion observed after kidney transplant that is associated with poor prognosis, is not a specific entity but rather the end stage of overlapping disease pathways. Its heterogeneity has not been precisely characterized to date.

Methods

Our study included consecutive kidney transplant recipients from three centers in France and one in Canada who presented with a diagnosis of transplant glomerulopathy (Banff cg score ?1 by light microscopy), on the basis of biopsies performed from January of 2004 through December of 2014. We used an unsupervised archetype analysis of comprehensive pathology findings and clinical, immunologic, and outcome data to identify distinct groups of patients.

Results

Among the 8207 post-transplant allograft biopsies performed during the inclusion period, we identified 552 biopsy samples (from 385 patients) with transplant glomerulopathy (incidence of 6.7%). The median time from transplant to transplant glomerulopathy diagnosis was 33.18 months. Kidney allograft survival rates at 3, 5, 7, and 10 years after diagnosis were 69.4%, 57.1%, 43.3%, and 25.5%, respectively. An unsupervised learning method integrating clinical, functional, immunologic, and histologic parameters revealed five transplant glomerulopathy archetypes characterized by distinct functional, immunologic, and histologic features and associated causes and distinct allograft survival profiles. These archetypes showed significant differences in allograft outcomes, with allograft survival rates 5 years after diagnosis ranging from 88% to 22%. Based on those results, we built an online application, which can be used in clinical practice on the basis of real patients.

Conclusions

A probabilistic data-driven archetype analysis approach applied in a large, well defined multicenter cohort refines the diagnostic and prognostic features associated with cases of transplant glomerulopathy. Reducing heterogeneity among such cases can improve disease characterization, enable patient-specific risk stratification, and open new avenues for archetype-based treatment strategies and clinical trials optimization.

SUBMITTER: Aubert O

PROVIDER: S-EPMC6442337 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Publications

Archetype Analysis Identifies Distinct Profiles in Renal Transplant Recipients with Transplant Glomerulopathy Associated with Allograft Survival.

Aubert Olivier O Higgins Sarah S Bouatou Yassine Y Yoo Daniel D Raynaud Marc M Viglietti Denis D Rabant Marion M Hidalgo Luis L Glotz Denis D Legendre Christophe C Delahousse Michel M Shah Nikhil N Sis Banu B Campbell Patricia P Mengel Michael M Jouven Xavier X Duong Van Huyen Jean-Paul JP Lefaucheur Carmen C Loupy Alexandre A

Journal of the American Society of Nephrology : JASN 20190314 4

<h4>Background</h4>Transplant glomerulopathy, a common glomerular lesion observed after kidney transplant that is associated with poor prognosis, is not a specific entity but rather the end stage of overlapping disease pathways. Its heterogeneity has not been precisely characterized to date.<h4>Methods</h4>Our study included consecutive kidney transplant recipients from three centers in France and one in Canada who presented with a diagnosis of transplant glomerulopathy (Banff cg score ≥1 by lig ...[more]

PMID: 30872323

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Project description:The use of the Internet for searching and sharing health information and for health care interactions may have a great potential for Renal Transplant Recipients (RTR). This study aims to determine the characteristics associated with Internet and social network use in a representative sample of RTR at the time of their inclusion in the study.Data of this cross-sectional design is retrieved from a longitudinal study conducted in five French kidney transplant centers in 2011, and included Renal Transplant Recipients aged 18 years with a functioning graft for at least 1 year. Measures include demographic characteristics (age, gender, level of education, employment status, living arrangement, having children, invalidity and monthly incomes in the household), psycho-social characteristics measured by the perceived social support questionnaire, and medical characteristics (previous dialysis treatment, duration since transplantation, graft rejection episodes, chronic graft dysfunction, health status and comorbidities: neoplasia for the current transplant, hypertension, diabetes mellitus, smoking status, BMI > 30 kg/m2 and Charlson Comorbidity Index (CCI)). Polytomous linear regression analysis was performed to describe the Internet and social network users' profiles, using lack of Internet access as the comparison category.Among the 1416 RTR participating in the study, 20.1% had no Internet access in the household, 29.4% connected to social networks and 50.5% were not connected to social networks. Patients who connected the most to the Internet and social networks were younger, male, without children, employed, with high monthly incomes in the household, without hypertension and having felt a need for an informative or an esteem support.In our study, the majority of RTR were actively using Internet and social networks. Renal transplant units should develop flexible and Web-based sources related to transplant information, which will allow a rapid adaptation to changes in prevalent practice, improve the health of the patients and reflect their preferences.

Project description:BackgroundThe effect of donor hypertension on the blood pressure of renal transplant recipients and the allograft outcomes are unclear. The aim of this study was to summarize the evidence about the effects of donor hypertension on renal transplant recipients' blood pressure, renal allograft outcomes and mortality.MethodsStudies published from January 1960 to 31 January 2019 in English were identified through a systematic search of six databases; PubMed, Embase, SCOPUS, Web of Science, Cochrane Database of Systematic Reviews, and CINAHL. Eligible observational studies with at least 1 year of follow-up were selected. Pooled estimates were obtained using random effects model.ResultsWe identified 15 papers from eight countries containing data on donor hypertension and renal transplantation carried out between 1963 and 2014. The median (range) follow-up period of the studies was 3.8 (1-11.9) years. The prevalence of post-transplant hypertension among recipients of a renal allograft from a normotensive donor range from 8 to 17.6%, while the prevalence of post-transplant hypertension among recipients of a renal allograft from a hypertensive donor range from 2.9 to 25%. Overall, pooled risk ratios (RR) indicated that donor hypertension was a risk factor for allograft failure or loss among renal transplant recipients (RR 1.31; 95% CI 1.06-1.63: P = 0.014). However, donor hypertension was not a risk factor for mortality among renal transplant recipients (RR 0.996; 95% CI 0.652-1.519: P = 0.984).ConclusionsDonor hypertension increases the risk of post-transplant hypertension among renal transplant recipients and increases the risk of allograft failure, However, donor hypertension was not a risk factor for mortality among renal transplant recipients, Closer monitoring should be given to renal allograft recipients from hypertensive donors, and further well-designed studies are needed to expand our knowledge of the impact of donor hypertension on the survival of renal allograft recipients.

Dataset Information

Archetype Analysis Identifies Distinct Profiles in Renal Transplant Recipients with Transplant Glomerulopathy Associated with Allograft Survival.

Background

Methods

Results

Conclusions

Publications

Archetype Analysis Identifies Distinct Profiles in Renal Transplant Recipients with Transplant Glomerulopathy Associated with Allograft Survival.

Similar Datasets

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