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Population-based comparison of chronic kidney disease prevalence and risk factors among adults living in the Punjab, Northern India and the USA (2013–2015)
OBJECTIVES: India is witnessing a disturbing growth in non-communicable diseases (NCDs), including chronic kidney disease (CKD). Recently, a WHO STEPS survey was conducted in the state of Punjab, India to collect data from the adult population on NCD risk factors. We sought to compare the prevalence...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737106/ https://www.ncbi.nlm.nih.gov/pubmed/33318117 http://dx.doi.org/10.1136/bmjopen-2020-040444 |
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author | Bragg-Gresham, Jennifer Thakur, JS Jeet, Gursimer Jain, Sanjay Pal, Arnab Prasad, Rajendra Pennathur, Subramaniam Saran, Rajiv |
author_facet | Bragg-Gresham, Jennifer Thakur, JS Jeet, Gursimer Jain, Sanjay Pal, Arnab Prasad, Rajendra Pennathur, Subramaniam Saran, Rajiv |
author_sort | Bragg-Gresham, Jennifer |
collection | PubMed |
description | OBJECTIVES: India is witnessing a disturbing growth in non-communicable diseases (NCDs), including chronic kidney disease (CKD). Recently, a WHO STEPS survey was conducted in the state of Punjab, India to collect data from the adult population on NCD risk factors. We sought to compare the prevalence of CKD and its risk factors between this large state in northern India and the USA. SETTING: Samples were drawn from both locations, Punjab, India and the USA, using multistage stratified sampling designs to collect data representative of the general population. PARTICIPANTS: Data from 2002 participants in the Punjab survey (2014–2015) and 5057 in the USA (National Health and Nutrition Examination Survey (NHANES; 2013–2014), between the ages of 18–69 years were examined. PRIMARY AND SECONDARY OUTCOME MEASURES: Modified Poisson regression was employed to compare prevalence between the two samples for markers of CKD and its risk factors. All analyses used sampling weights. RESULTS: The average age in the Punjab sample was significantly lower than the USA (38.3 vs 42.5 years, p<0.0001). While smoking and obesity were higher in the USA, hypertension was much more common in Punjab (48.2% vs 33.4%, p<0.0001). Significant differences were seen in the prevalence of CKD, with lower prevalence of eGFR <60 mL/min/1.73 m(2) (2.0% vs 3.8%, p<0.0001), but markedly higher prevalence of albuminuria (46.7% vs 8.9%, p<0.0001) in Punjab. These differences could not be explained by traditional risk factors such as diabetes and hypertension. CONCLUSIONS: We report a strikingly high prevalence of albuminuria in Punjab, India, compared with the USA. This requires further study and may have enormous public health implications for future burden of progressive CKD, end-stage kidney disease, morbidity, mortality and specifically for elevated risk or presence of cardiovascular disease in the northern state of Punjab, India. Funding came from the National Health Mission, Punjab, India, JST and the Centers for Disease Control and Prevention, Atlanta, Georgia, USA. |
format | Online Article Text |
id | pubmed-7737106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-77371062020-12-28 Population-based comparison of chronic kidney disease prevalence and risk factors among adults living in the Punjab, Northern India and the USA (2013–2015) Bragg-Gresham, Jennifer Thakur, JS Jeet, Gursimer Jain, Sanjay Pal, Arnab Prasad, Rajendra Pennathur, Subramaniam Saran, Rajiv BMJ Open Global Health OBJECTIVES: India is witnessing a disturbing growth in non-communicable diseases (NCDs), including chronic kidney disease (CKD). Recently, a WHO STEPS survey was conducted in the state of Punjab, India to collect data from the adult population on NCD risk factors. We sought to compare the prevalence of CKD and its risk factors between this large state in northern India and the USA. SETTING: Samples were drawn from both locations, Punjab, India and the USA, using multistage stratified sampling designs to collect data representative of the general population. PARTICIPANTS: Data from 2002 participants in the Punjab survey (2014–2015) and 5057 in the USA (National Health and Nutrition Examination Survey (NHANES; 2013–2014), between the ages of 18–69 years were examined. PRIMARY AND SECONDARY OUTCOME MEASURES: Modified Poisson regression was employed to compare prevalence between the two samples for markers of CKD and its risk factors. All analyses used sampling weights. RESULTS: The average age in the Punjab sample was significantly lower than the USA (38.3 vs 42.5 years, p<0.0001). While smoking and obesity were higher in the USA, hypertension was much more common in Punjab (48.2% vs 33.4%, p<0.0001). Significant differences were seen in the prevalence of CKD, with lower prevalence of eGFR <60 mL/min/1.73 m(2) (2.0% vs 3.8%, p<0.0001), but markedly higher prevalence of albuminuria (46.7% vs 8.9%, p<0.0001) in Punjab. These differences could not be explained by traditional risk factors such as diabetes and hypertension. CONCLUSIONS: We report a strikingly high prevalence of albuminuria in Punjab, India, compared with the USA. This requires further study and may have enormous public health implications for future burden of progressive CKD, end-stage kidney disease, morbidity, mortality and specifically for elevated risk or presence of cardiovascular disease in the northern state of Punjab, India. Funding came from the National Health Mission, Punjab, India, JST and the Centers for Disease Control and Prevention, Atlanta, Georgia, USA. BMJ Publishing Group 2020-12-13 /pmc/articles/PMC7737106/ /pubmed/33318117 http://dx.doi.org/10.1136/bmjopen-2020-040444 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Global Health Bragg-Gresham, Jennifer Thakur, JS Jeet, Gursimer Jain, Sanjay Pal, Arnab Prasad, Rajendra Pennathur, Subramaniam Saran, Rajiv Population-based comparison of chronic kidney disease prevalence and risk factors among adults living in the Punjab, Northern India and the USA (2013–2015) |
title | Population-based comparison of chronic kidney disease prevalence and risk factors among adults living in the Punjab, Northern India and the USA (2013–2015) |
title_full | Population-based comparison of chronic kidney disease prevalence and risk factors among adults living in the Punjab, Northern India and the USA (2013–2015) |
title_fullStr | Population-based comparison of chronic kidney disease prevalence and risk factors among adults living in the Punjab, Northern India and the USA (2013–2015) |
title_full_unstemmed | Population-based comparison of chronic kidney disease prevalence and risk factors among adults living in the Punjab, Northern India and the USA (2013–2015) |
title_short | Population-based comparison of chronic kidney disease prevalence and risk factors among adults living in the Punjab, Northern India and the USA (2013–2015) |
title_sort | population-based comparison of chronic kidney disease prevalence and risk factors among adults living in the punjab, northern india and the usa (2013–2015) |
topic | Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737106/ https://www.ncbi.nlm.nih.gov/pubmed/33318117 http://dx.doi.org/10.1136/bmjopen-2020-040444 |
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