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...
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Format: | Article |
Language: | English |
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Tehran University of Medical Sciences
2015-10-01
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Series: | Journal of Biostatistics and Epidemiology |
Subjects: | |
Online Access: | https://jbe.tums.ac.ir/index.php/jbe/article/view/13 |
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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 |
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