Literature DB >> 23774662

Disease burden of stroke in Kolkata, India: derivation of disability-adjusted life years by a direct method.

Tapas Kumar Banerjee1, Saunak Dutta, Biman Kanti Ray, Malay Ghosal, Avijit Hazra, Arijit Chaudhuri, Shyamal Kumar Das.   

Abstract

BACKGROUND/AIMS: The disability-adjusted life year (DALY) is a new time-based measure of disease burden incorporating both disability and mortality. Our study aims to determine the DALYs lost due to stroke using a direct methodology and the implications.
METHODS: A population-based, house-to-house, 2-stage, prospective study on stroke was conducted over 7 years in Kolkata, India, on 100,802 randomly selected subjects to capture the incident cases of first-ever stroke and those with fatal stroke. The data were utilized to estimate years of life lost due to premature mortality (YLLs), years lived with disability (YLDs) and DALYs lost.
RESULTS: Over 7 years, there were 763 incident cases of first-ever stroke; of these, 320 had a fatal stroke within 30 days and 443 were stroke survivors. The overall DALYs lost due to stroke were computed as 795.57 per 100,000 person-years (730.43 in men and 552.86 in women). The overall YLL and YLD values were 593.14 and 202.43 per 100,000 person-years, respectively. The YLLs comprised 74.5% of the total DALYs.
CONCLUSIONS: This is the first study in India where DALYs lost due to stroke were derived by a direct method. High YLL values demand urgent measures for controlling premature stroke death.
Copyright © 2013 S. Karger AG, Basel.

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Year:  2013        PMID: 23774662     DOI: 10.1159/000345135

Source DB:  PubMed          Journal:  Neuroepidemiology        ISSN: 0251-5350            Impact factor:   3.282


  2 in total

Review 1.  Fifty years of stroke researches in India.

Authors:  Tapas Kumar Banerjee; Shyamal Kumar Das
Journal:  Ann Indian Acad Neurol       Date:  2016 Jan-Mar       Impact factor: 1.383

2.  Direct estimates of disability-adjusted life years lost due to stroke : a cross-sectional observational study in a demographic surveillance site in rural Gadchiroli, India.

Authors:  Nikkil Sudharsanan; Mahesh Deshmukh; Yogeshwar Kalkonde
Journal:  BMJ Open       Date:  2019-11-07       Impact factor: 2.692

  2 in total

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