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Prevalence of and risk factors for chronic kidney disease of unknown aetiology in India: secondary data analysis of three population-based cross-sectional studies

Authors :
O'Callaghan Gordo, Cristina
Shivashankar, Roopa
Anand, Schuchi
Ghosh, Shreeparna
Glaser, Jason
Gupta, Ruby
Jakobsson, Kristina
Kondal, Dimple
Krishnan, Anand
Mohan, Sailesh
Mohan, Viswanathan
Nitsch, Dorothea
Praveen, P. A.
Tandon, Nikhil
Narayan, K. M. Venkat
Pearce, Neil E.
Caplin, Ben
Prabhakaran, Dorairaj
Publication Year :
2019
Publisher :
BMJ, 2019.

Abstract

Objectives: To assess whether chronic kidney disease of unknown aetiology (CKDu) is present in India and to identify risk factors for it using population-based data and standardised methods. Design: Secondary data analysis of three population-based cross-sectional studies conducted between 2010 and 2014. Setting: Urban and rural areas of Northern India (states of Delhi and Haryana) and Southern India (states of Tamil Nadu and Andhra Pradesh). Participants: 12 500 individuals without diabetes, hypertension or heavy proteinuria. Outcome measures: Mean estimated glomerular filtration rate (eGFR) and prevalence of eGFR below 60 mL/min per 1.73 m2 (eGFR

Details

Language :
English
ISSN :
20446055
Database :
OpenAIRE
Accession number :
edsair.dedup.wf.001..c4727a9d28d926250a87f86ba878bcfc