Prevalence of and risk factors for chronic kidney disease of unknown aetiology in India : Secondary data analysis of three population-based cross-sectional studies
(2019) In BMJ Open 9(3).- 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 m 2 (eGFR <60) in individuals without diabetes, hypertension or heavy proteinuria (proxy definition... (More)
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 m 2 (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 m 2. 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)=a '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 (a '7.78 (-8.69 to -6.86); 4.95 (2.61 to 9.39)), older age (a '0.90 (-0.93 to -0.86); 1.06 (1.04 to 1.08)) and less education (a '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.
(Less)
- author
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- chronic renal failure, epidemiology, nephrology, public health
- in
- BMJ Open
- volume
- 9
- issue
- 3
- article number
- 023353
- publisher
- BMJ Publishing Group
- external identifiers
-
- scopus:85062630889
- pmid:30850400
- ISSN
- 2044-6055
- DOI
- 10.1136/bmjopen-2018-023353
- language
- English
- LU publication?
- yes
- id
- acee5816-ab3a-465f-933f-c43f83814fe6
- date added to LUP
- 2019-03-20 10:05:45
- date last changed
- 2024-06-11 06:46:58
@article{acee5816-ab3a-465f-933f-c43f83814fe6,
abstract = {{<p>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 m 2 (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 m 2. 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)=a '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 (a '7.78 (-8.69 to -6.86); 4.95 (2.61 to 9.39)), older age (a '0.90 (-0.93 to -0.86); 1.06 (1.04 to 1.08)) and less education (a '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.</p>}},
author = {{O'Callaghan-Gordo, Cristina and Shivashankar, Roopa and Anand, Shuchi and Ghosh, Shreeparna and Glaser, Jason and Gupta, Ruby and Jakobsson, Kristina and Kondal, Dimple and Krishnan, Anand and Mohan, Sailesh and Mohan, Viswanathan and Nitsch, Dorothea and Praveen, P. A. and Tandon, Nikhil and Narayan, K. M.Venkat and Pearce, Neil and Caplin, Ben and Prabhakaran, Dorairaj}},
issn = {{2044-6055}},
keywords = {{chronic renal failure; epidemiology; nephrology; public health}},
language = {{eng}},
number = {{3}},
publisher = {{BMJ Publishing Group}},
series = {{BMJ Open}},
title = {{Prevalence of and risk factors for chronic kidney disease of unknown aetiology in India : Secondary data analysis of three population-based cross-sectional studies}},
url = {{http://dx.doi.org/10.1136/bmjopen-2018-023353}},
doi = {{10.1136/bmjopen-2018-023353}},
volume = {{9}},
year = {{2019}},
}