Survival advantage of planned haemodialysis over peritoneal dialysis: a cohort study
Autor: | Thierry Krummel, Cécile Couchoud, Thierry Hannedouche, Aurélien Tiple, Erik-André Sauleau, Van Huyen Do, François Severac, Clémence Béchade, Rein registry, Alicia Thiery |
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Přispěvatelé: | Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), the REIN registry |
Rok vydání: | 2018 |
Předmět: |
Male
medicine.medical_specialty medicine.medical_treatment 030232 urology & nephrology Marginal structural model Peritoneal dialysis 03 medical and health sciences 0302 clinical medicine Renal Dialysis Internal medicine Humans Medicine Registries 030212 general & internal medicine Propensity Score Aged Transplantation business.industry Proportional hazards model Hazard ratio Middle Aged Survival Rate Nephrology [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Cohort Propensity score matching Kidney Failure Chronic Female France business Peritoneal Dialysis Follow-Up Studies Cohort study |
Zdroj: | Nephrology Dialysis Transplantation Nephrology Dialysis Transplantation, 2018, 33, ⟨10.1093/ndt/gfy007⟩ |
ISSN: | 1460-2385 0931-0509 |
DOI: | 10.1093/ndt/gfy007 |
Popis: | Background Previous studies comparing the outcomes in haemodialysis (HD) with those in peritoneal dialysis (PD) have yielded conflicting results. Methods The aim of the study was to compare the survival of planned HD versus PD patients in a cohort of adult incident patients who started renal replacement therapy (RRT) between 2006 and 2008 in the nationwide REIN registry (Reseau Epidemiologie et Information en Nephrologie). Patients who started RRT in emergency or stopped RRT within 2 months were excluded. Adjusted Cox models, propensity score matching and marginal structural models (MSMs) were used to compensate for the lack of randomization and provide causal inference from longitudinal data with time-dependent treatments and confounders including transplant censorship, modality change over time and time-varying covariates. Results Among a total of 13 767 dialysis patients, 13% were on PD at initiation of RRT and 87% were on HD. The median survival times were 53.5 months or 4.45 years and 38.6 months or 3.21 years for patients starting on HD and PD, respectively. Regardless of the model used, there was a consistent advantage in terms of survival for HD patients: hazard ratio (HR) 0.76 [95% confidence interval (95% CI) 0.69-0.84] with the Cox model using propensity score; HR 0.67 (95% CI 0.62-0.73) in the Cox model with censorship for each treatment change; and HR 0.82 (95% CI 0.69-0.97) with MSMs. However, MSMs tended to reduce the survival gap between PD and HD patients. Conclusion This large cohort study using various statistical methods to minimize the bias appears to demonstrate a better survival in planned HD than in PD. |
Databáze: | OpenAIRE |
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