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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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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. |
format | Online Article Text |
id | pubmed-6166495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
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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