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Ambiguity about Selection of Cardiovascular Risk Stratification Tools: Evidence from a North Indian Rural Population

BACKGROUND: Several nonlaboratory based cardiovascular disease (CVD) risk scoring tools are available for resource-limited settings, but the performance of these tools remains to be established in Indian population. This study aimed to assess and compare the performance of the World Health Organizat...

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Autores principales: Singh, Tarundeep, Pilania, Manju, Jat, Gopal Singh, Kumar, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6166495/
https://www.ncbi.nlm.nih.gov/pubmed/30294082
http://dx.doi.org/10.4103/ijcm.IJCM_255_17
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author Singh, Tarundeep
Pilania, Manju
Jat, Gopal Singh
Kumar, Rajesh
author_facet Singh, Tarundeep
Pilania, Manju
Jat, Gopal Singh
Kumar, Rajesh
author_sort Singh, Tarundeep
collection PubMed
description BACKGROUND: Several nonlaboratory based cardiovascular disease (CVD) risk scoring tools are available for resource-limited settings, but the performance of these tools remains to be established in Indian population. This study aimed to assess and compare the performance of the World Health Organization (WHO)/International Society for Hypertension (ISH) risk prediction chart and the Framingham Risk Score (FRS) calculator in an Indian setting. MATERIALS AND METHODS: This cross-sectional study was carried out among 283 participants aged 30–74 years who attended screening camps in the rural area of Punjab from October to December 2015. Nonlaboratory-based WHO/ISH risk prediction chart for South-East Asia Region and FRS calculator was used to assess the 10-year risk of cardiovascular event. Chi-square test for trend and quadratic weighted kappa were used for analysis. RESULTS: Of total participants, 67.1% were female. Mean age of the study participants was 52.1 (standard deviation ± 11.6) years. Using the WHO/ISH risk prediction chart, 11.3% and 4.9% of the participants were found to have high and very high risk, respectively, whereas, FRS calculator predicted high risk in 13.8% and very high risk in 12.0% for developing CVD in next 10 years. Agreement level between two risk prediction tools was good (67.8%). CONCLUSION: Although the good agreement was seen between WHO/ISH risk prediction chart and FRS calculator, the proportions of participants having a high and very high risk of CVD identified by these risk prediction tools are significantly different. In resource constraint setting like India, CVD risk prediction tools should be validated for local population by prospective cohort studies to ensure judicious use of resources.
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spelling pubmed-61664952018-10-05 Ambiguity about Selection of Cardiovascular Risk Stratification Tools: Evidence from a North Indian Rural Population Singh, Tarundeep Pilania, Manju Jat, Gopal Singh Kumar, Rajesh Indian J Community Med Original Article BACKGROUND: Several nonlaboratory based cardiovascular disease (CVD) risk scoring tools are available for resource-limited settings, but the performance of these tools remains to be established in Indian population. This study aimed to assess and compare the performance of the World Health Organization (WHO)/International Society for Hypertension (ISH) risk prediction chart and the Framingham Risk Score (FRS) calculator in an Indian setting. MATERIALS AND METHODS: This cross-sectional study was carried out among 283 participants aged 30–74 years who attended screening camps in the rural area of Punjab from October to December 2015. Nonlaboratory-based WHO/ISH risk prediction chart for South-East Asia Region and FRS calculator was used to assess the 10-year risk of cardiovascular event. Chi-square test for trend and quadratic weighted kappa were used for analysis. RESULTS: Of total participants, 67.1% were female. Mean age of the study participants was 52.1 (standard deviation ± 11.6) years. Using the WHO/ISH risk prediction chart, 11.3% and 4.9% of the participants were found to have high and very high risk, respectively, whereas, FRS calculator predicted high risk in 13.8% and very high risk in 12.0% for developing CVD in next 10 years. Agreement level between two risk prediction tools was good (67.8%). CONCLUSION: Although the good agreement was seen between WHO/ISH risk prediction chart and FRS calculator, the proportions of participants having a high and very high risk of CVD identified by these risk prediction tools are significantly different. In resource constraint setting like India, CVD risk prediction tools should be validated for local population by prospective cohort studies to ensure judicious use of resources. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC6166495/ /pubmed/30294082 http://dx.doi.org/10.4103/ijcm.IJCM_255_17 Text en Copyright: © 2018 Indian Journal of Community Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Singh, Tarundeep
Pilania, Manju
Jat, Gopal Singh
Kumar, Rajesh
Ambiguity about Selection of Cardiovascular Risk Stratification Tools: Evidence from a North Indian Rural Population
title Ambiguity about Selection of Cardiovascular Risk Stratification Tools: Evidence from a North Indian Rural Population
title_full Ambiguity about Selection of Cardiovascular Risk Stratification Tools: Evidence from a North Indian Rural Population
title_fullStr Ambiguity about Selection of Cardiovascular Risk Stratification Tools: Evidence from a North Indian Rural Population
title_full_unstemmed Ambiguity about Selection of Cardiovascular Risk Stratification Tools: Evidence from a North Indian Rural Population
title_short Ambiguity about Selection of Cardiovascular Risk Stratification Tools: Evidence from a North Indian Rural Population
title_sort ambiguity about selection of cardiovascular risk stratification tools: evidence from a north indian rural population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6166495/
https://www.ncbi.nlm.nih.gov/pubmed/30294082
http://dx.doi.org/10.4103/ijcm.IJCM_255_17
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