Parametric methods for estimating survival in continuous ambulatory peritoneal dialysis patients in the presence of competing events

Background & Aim: In many studies, the survival of patients with chronic kidney disease who are treated with peritoneal dialysis technique has been considered, while this is possible in peritoneal dialysis  patients  to switch  to another  treatment.  To achieve  more  accurate  estimation  of p...

Full description

Bibliographic Details
Main Authors: Mostafa Hosseini, Marziye Asgari, Mahmood Mahmoodi, Iraj Najafi
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2015-10-01
Series:Journal of Biostatistics and Epidemiology
Subjects:
Online Access:https://jbe.tums.ac.ir/index.php/jbe/article/view/13
_version_ 1818788385774370816
author Mostafa Hosseini
Marziye Asgari
Mahmood Mahmoodi
Iraj Najafi
author_facet Mostafa Hosseini
Marziye Asgari
Mahmood Mahmoodi
Iraj Najafi
author_sort Mostafa Hosseini
collection DOAJ
description Background & Aim: In many studies, the survival of patients with chronic kidney disease who are treated with peritoneal dialysis technique has been considered, while this is possible in peritoneal dialysis  patients  to switch  to another  treatment.  To achieve  more  accurate  estimation  of patient survival is necessary to examine all events. The purpose of this study is to estimate the cumulative incidence function (CIF) of events using competing risks method and then calculating the survival of patients treated with peritoneal dialysis. Methods  & Materials:  This study includes  417 patients  with chronic  kidney disease who were under peritoneal  dialysis between  July 1996 and December  2009 in three centers in Tehran. We achieved their survival by 13 years follow-up time. We have collected patient demographic data and clinical characteristics. CIF of death and other events was estimated using the cause-specific hazard approach  and  direct  approach. Parametric  regression  model  was  used  to  adjust  the  effects  of covariates. The data analysis was performed using the R software. Results: In this study, the median follow-up time was 664 days. A total of 112 (26.9%) patients treated with peritoneal dialysis died before completing the study, and before the end of the study. One hundred  sixty seven  (40.0%)  patients  treated  with peritoneal  dialysis  changed  their dialysis method to hemodialysis or had renal transplantation . Conclusion: The effective risk factors on death CIF and other competing events CIF were diabetes mellitus, albumin,  creatinine,  diastolic  blood  pressure,  urea  and  age,  creatinine,  diastolic  blood pressure, respectively.
first_indexed 2024-12-18T14:22:50Z
format Article
id doaj.art-c5e5a047e2614f7cba9b3c01bf52f144
institution Directory Open Access Journal
issn 2383-4196
2383-420X
language English
last_indexed 2024-12-18T14:22:50Z
publishDate 2015-10-01
publisher Tehran University of Medical Sciences
record_format Article
series Journal of Biostatistics and Epidemiology
spelling doaj.art-c5e5a047e2614f7cba9b3c01bf52f1442022-12-21T21:04:48ZengTehran University of Medical SciencesJournal of Biostatistics and Epidemiology2383-41962383-420X2015-10-0111/2Parametric methods for estimating survival in continuous ambulatory peritoneal dialysis patients in the presence of competing eventsMostafa Hosseini0Marziye Asgari1Mahmood Mahmoodi2Iraj Najafi3Department of Epidemiology and Biostatistics, School of Public Health and Institute of Public Health Research, Tehran University of Medical Science, Tehran, IranDepartment of Epidemiology and Biostatistics, School of Public Health and Institute of Public Health Research, TehranUniversity of Medical Science, Tehran, IranDepartment of Epidemiology and Biostatistics, School of Public Health and Institute of Public Health Research, TehranUniversity of Medical Science, Tehran, IranDepartment of Nephrology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, IranBackground & Aim: In many studies, the survival of patients with chronic kidney disease who are treated with peritoneal dialysis technique has been considered, while this is possible in peritoneal dialysis  patients  to switch  to another  treatment.  To achieve  more  accurate  estimation  of patient survival is necessary to examine all events. The purpose of this study is to estimate the cumulative incidence function (CIF) of events using competing risks method and then calculating the survival of patients treated with peritoneal dialysis. Methods  & Materials:  This study includes  417 patients  with chronic  kidney disease who were under peritoneal  dialysis between  July 1996 and December  2009 in three centers in Tehran. We achieved their survival by 13 years follow-up time. We have collected patient demographic data and clinical characteristics. CIF of death and other events was estimated using the cause-specific hazard approach  and  direct  approach. Parametric  regression  model  was  used  to  adjust  the  effects  of covariates. The data analysis was performed using the R software. Results: In this study, the median follow-up time was 664 days. A total of 112 (26.9%) patients treated with peritoneal dialysis died before completing the study, and before the end of the study. One hundred  sixty seven  (40.0%)  patients  treated  with peritoneal  dialysis  changed  their dialysis method to hemodialysis or had renal transplantation . Conclusion: The effective risk factors on death CIF and other competing events CIF were diabetes mellitus, albumin,  creatinine,  diastolic  blood  pressure,  urea  and  age,  creatinine,  diastolic  blood pressure, respectively.https://jbe.tums.ac.ir/index.php/jbe/article/view/13dialysiscumulative incidence functioncause-specific hazard approachGomperz distribution
spellingShingle Mostafa Hosseini
Marziye Asgari
Mahmood Mahmoodi
Iraj Najafi
Parametric methods for estimating survival in continuous ambulatory peritoneal dialysis patients in the presence of competing events
Journal of Biostatistics and Epidemiology
dialysis
cumulative incidence function
cause-specific hazard approach
Gomperz distribution
title Parametric methods for estimating survival in continuous ambulatory peritoneal dialysis patients in the presence of competing events
title_full Parametric methods for estimating survival in continuous ambulatory peritoneal dialysis patients in the presence of competing events
title_fullStr Parametric methods for estimating survival in continuous ambulatory peritoneal dialysis patients in the presence of competing events
title_full_unstemmed Parametric methods for estimating survival in continuous ambulatory peritoneal dialysis patients in the presence of competing events
title_short Parametric methods for estimating survival in continuous ambulatory peritoneal dialysis patients in the presence of competing events
title_sort parametric methods for estimating survival in continuous ambulatory peritoneal dialysis patients in the presence of competing events
topic dialysis
cumulative incidence function
cause-specific hazard approach
Gomperz distribution
url https://jbe.tums.ac.ir/index.php/jbe/article/view/13
work_keys_str_mv AT mostafahosseini parametricmethodsforestimatingsurvivalincontinuousambulatoryperitonealdialysispatientsinthepresenceofcompetingevents
AT marziyeasgari parametricmethodsforestimatingsurvivalincontinuousambulatoryperitonealdialysispatientsinthepresenceofcompetingevents
AT mahmoodmahmoodi parametricmethodsforestimatingsurvivalincontinuousambulatoryperitonealdialysispatientsinthepresenceofcompetingevents
AT irajnajafi parametricmethodsforestimatingsurvivalincontinuousambulatoryperitonealdialysispatientsinthepresenceofcompetingevents