Dataset Information

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

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 <60) in individuals without diabetes, hypertension or heavy proteinuria (proxy definition of CKDu).

Results

The mean eGFR was 105.0±17.8?mL/min per 1.73?m². The prevalence of eGFR <60 was 1.6% (95% CI=1.4 to 1.7), but this figure varied markedly between areas, being highest in rural areas of Southern Indian (4.8% (3.8 to 5.8)). In Northern India, older age was the only risk factor associated with lower mean eGFR and eGFR <60 (regression coefficient (95%?CI)=-0.94 (0.97 to 0.91); OR (95%?CI)=1.10 (1.08 to 1.11)). In Southern India, risk factors for lower mean eGFR and eGFR <60,?respectively, were residence in a rural area (-7.78 (-8.69 to -6.86); 4.95 (2.61 to 9.39)), older age (-0.90 (-0.93 to -0.86); 1.06 (1.04 to 1.08)) and less education (-0.94 (-1.32 to -0.56); 0.67 (0.50 to 0.90) for each 5?years at school).

Conclusions

CKDu is present in India and is not confined to Central America and Sri Lanka. Identified risk factors are consistent with risk factors previously reported for CKDu in Central America and Sri Lanka.

SUBMITTER: O'Callaghan-Gordo C

PROVIDER: S-EPMC6429742 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Publications

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

O'Callaghan-Gordo Cristina C Shivashankar Roopa R Anand Shuchi S Ghosh Shreeparna S Glaser Jason J Gupta Ruby R Jakobsson Kristina K Kondal Dimple D Krishnan Anand A Mohan Sailesh S Mohan Viswanathan V Nitsch Dorothea D P A Praveen P Tandon Nikhil N Narayan K M Venkat KMV Pearce Neil N Caplin Ben B Prabhakaran Dorairaj D

BMJ open 20190307 3

<h4>Objectives</h4>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.<h4>Design</h4>Secondary data analysis of three population-based cross-sectional studies conducted between 2010 and 2014.<h4>Setting</h4>Urban and rural areas of Northern India (states of Delhi and Haryana) and Southern India (states of Tamil Nadu and Andhra Pradesh).<h4>Participants</h4>12 500 individ ...[more]

PMID: 30850400

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Dataset Information

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

Objectives

Design

Setting

Participants

Outcome measures

Results

Conclusions

Publications

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

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