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

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	5818/74625
Uncontrolled Keywords:	End stage renal disease, mortality, risk factors, screening tool, sensitivity and specificity
Subjects:	R Medicine > RC Internal medicine > RC321 Neuroscience. Biological psychiatry. Neuropsychiatry R Medicine > RC Internal medicine > RC627 Specialties of Internal Medicine-Metabolic Diseases
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Medicine > Department of Psychiatry Kulliyyah of Medicine
Depositing User:	Professor Ramli Musa
Date Deposited:	18 Sep 2019 16:02
Last Modified:	13 Apr 2020 00:50
URI:	http://irep.iium.edu.my/id/eprint/74625

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