Risk factors for 3-year-mortality and a tool to screen patient in dialysis population

Introduction: Clinical parameters especially co‑morbidities among end stage renal disease (ESRD) patients are associated with mortality. This study aims to determine the risk factors that are associated with mortality within three years among prevalent patients with ESRD. Methods: This is a cohort s...

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Main Authors:	Bujang, M. A., Kuan, P. X., Sapri, F. E., Liu, W. J., Musa, Ramli
Format:	Article
Language:	English English
Published:	2019
Subjects:	RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry RC627 Specialties of Internal Medicine-Metabolic Diseases
Online Access:	http://irep.iium.edu.my/74625/ http://irep.iium.edu.my/74625/ http://irep.iium.edu.my/74625/1/89.%20Indian%20J%20Nephrol.pdf http://irep.iium.edu.my/74625/7/74625_Risk%20Factors%20for%203-Year-Mortality%20and%20a%20Tool%20to%20Screen%20Patient%20in%20Dialysis.pdf

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recordtype	eprints
spelling	iium-746252020-02-12T03:59:46Z http://irep.iium.edu.my/74625/ Risk factors for 3-year-mortality and a tool to screen patient in dialysis population Bujang, M. A. Kuan, P. X. Sapri, F. E. Liu, W. J. Musa, Ramli RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry RC627 Specialties of Internal Medicine-Metabolic Diseases Introduction: Clinical parameters especially co‑morbidities among end stage renal disease (ESRD) patients are associated with mortality. This study aims to determine the risk factors that are associated with mortality within three years among prevalent patients with ESRD. Methods: This is a cohort study where prevalent ESRD patients’ details were recorded between May 2012 and October 2012. Their records were matched with national death record at the end of year 2015 to identify the deceased patients within three years. Four models were formulated with two models were based on logistic regression models but with different number of predictors and two models were developed based on risk scoring technique. The preferred models were validated by using sensitivity and specificity analysis. Results: A total of 1332 patients were included in the study. Majority succumbed due to cardiovascular disease (48.3%) and sepsis (41.3%). The identified risk factors were mode of dialysis (P < 0.001), diabetes mellitus (P < 0.001), chronic heart disease (P < 0.001) and leg amputation (P = 0.016). The accuracy of four models was almost similar with AUC between 0.680 and 0.711. The predictive models from logistic regression model and risk scoring model were selected as the preferred models based on both accuracy and simplicity. Besides the mode of dialysis, diabetes mellitus and its complications are the important predictors for early mortality among prevalent ESRD patients. Conclusions: The models either based on logistic regression or risk scoring model can be used to screen high risk prevalent ESRD patients. 2019-09-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/74625/1/89.%20Indian%20J%20Nephrol.pdf application/pdf en http://irep.iium.edu.my/74625/7/74625_Risk%20Factors%20for%203-Year-Mortality%20and%20a%20Tool%20to%20Screen%20Patient%20in%20Dialysis.pdf Bujang, M. A. and Kuan, P. X. and Sapri, F. E. and Liu, W. J. and Musa, Ramli (2019) Risk factors for 3-year-mortality and a tool to screen patient in dialysis population. Indian Journal of Nephrology, 29 (4). pp. 235-241. ISSN 1998-3662 http://www.indianjnephrol.org/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry RC627 Specialties of Internal Medicine-Metabolic Diseases
spellingShingle	RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry RC627 Specialties of Internal Medicine-Metabolic Diseases Bujang, M. A. Kuan, P. X. Sapri, F. E. Liu, W. J. Musa, Ramli Risk factors for 3-year-mortality and a tool to screen patient in dialysis population
description	Introduction: Clinical parameters especially co‑morbidities among end stage renal disease (ESRD) patients are associated with mortality. This study aims to determine the risk factors that are associated with mortality within three years among prevalent patients with ESRD. Methods: This is a cohort study where prevalent ESRD patients’ details were recorded between May 2012 and October 2012. Their records were matched with national death record at the end of year 2015 to identify the deceased patients within three years. Four models were formulated with two models were based on logistic regression models but with different number of predictors and two models were developed based on risk scoring technique. The preferred models were validated by using sensitivity and specificity analysis. Results: A total of 1332 patients were included in the study. Majority succumbed due to cardiovascular disease (48.3%) and sepsis (41.3%). The identified risk factors were mode of dialysis (P < 0.001), diabetes mellitus (P < 0.001), chronic heart disease (P < 0.001) and leg amputation (P = 0.016). The accuracy of four models was almost similar with AUC between 0.680 and 0.711. The predictive models from logistic regression model and risk scoring model were selected as the preferred models based on both accuracy and simplicity. Besides the mode of dialysis, diabetes mellitus and its complications are the important predictors for early mortality among prevalent ESRD patients. Conclusions: The models either based on logistic regression or risk scoring model can be used to screen high risk prevalent ESRD patients.
format	Article
author	Bujang, M. A. Kuan, P. X. Sapri, F. E. Liu, W. J. Musa, Ramli
author_facet	Bujang, M. A. Kuan, P. X. Sapri, F. E. Liu, W. J. Musa, Ramli
author_sort	Bujang, M. A.
title	Risk factors for 3-year-mortality and a tool to screen patient in dialysis population
title_short	Risk factors for 3-year-mortality and a tool to screen patient in dialysis population
title_full	Risk factors for 3-year-mortality and a tool to screen patient in dialysis population
title_fullStr	Risk factors for 3-year-mortality and a tool to screen patient in dialysis population
title_full_unstemmed	Risk factors for 3-year-mortality and a tool to screen patient in dialysis population
title_sort	risk factors for 3-year-mortality and a tool to screen patient in dialysis population
publishDate	2019
url	http://irep.iium.edu.my/74625/ http://irep.iium.edu.my/74625/ http://irep.iium.edu.my/74625/1/89.%20Indian%20J%20Nephrol.pdf http://irep.iium.edu.my/74625/7/74625_Risk%20Factors%20for%203-Year-Mortality%20and%20a%20Tool%20to%20Screen%20Patient%20in%20Dialysis.pdf
first_indexed	2023-09-18T21:45:39Z
last_indexed	2023-09-18T21:45:39Z
_version_	1777413431569154048

Risk factors for 3-year-mortality and a tool to screen patient in dialysis population

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