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Estimation of cardiovascular risk in a rural population of Lucknow district using WHO/ISH risk prediction charts

CONTEXT: Cardiovascular diseases (CVDs) are the number one cause of death globally, with low- and middle-income countries being affected disproportionately. By 2020, it is projected that there will be 25 million deaths from CVD worldwide, 19 million of which would be from middle- and low-income coun...

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Autores principales: Deori, Trideep J., Agarwal, Monika, Masood, Jamal, Sharma, Sugandhi, Ansari, Arshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652118/
https://www.ncbi.nlm.nih.gov/pubmed/33209812
http://dx.doi.org/10.4103/jfmpc.jfmpc_646_20
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author Deori, Trideep J.
Agarwal, Monika
Masood, Jamal
Sharma, Sugandhi
Ansari, Arshi
author_facet Deori, Trideep J.
Agarwal, Monika
Masood, Jamal
Sharma, Sugandhi
Ansari, Arshi
author_sort Deori, Trideep J.
collection PubMed
description CONTEXT: Cardiovascular diseases (CVDs) are the number one cause of death globally, with low- and middle-income countries being affected disproportionately. By 2020, it is projected that there will be 25 million deaths from CVD worldwide, 19 million of which would be from middle- and low-income countries. AIMS: The aim of this study was to estimate the 10-year risk of cardiovascular events among adults aged ≥40 years in a rural population of Lucknow district using the World Health Organization (WHO)/International Society of Hypertension (ISH) risk prediction charts for SEAR-D region. SETTINGS AND DESIGN: This was a community based cross-sectional study, conducted from September 2017 to August 2018, in the rural areas of Lucknow district. METHODS AND MATERIAL: This study was conducted on 397 subjects aged ≥40 years. The two sets of the WHO/ISH risk prediction charts, with and without cholesterol, for WHO SEAR-D region were used in the study. STATISTICAL ANALYSIS USED: SPSS, version 23 was used for data analysis. RESULTS: Using the risk assessment tools, with and without cholesterol, 78.5 and 76.8%, respectively, of the study population were in the 10-year cardiovascular risk category of <10% risk, while 11.2 and 10.4%, respectively, were in the category of ≥20% risk. Risk categories were found to be concordant in 86.3% of the population. CONCLUSIONS: The WHO/ISH risk prediction charts can be used at low-cost resource setting as a tool to predict CVD risk among asymptomatic individuals, thus, helping in early detection and prevention of CVDs in resource-scarce settings.
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spelling pubmed-76521182020-11-17 Estimation of cardiovascular risk in a rural population of Lucknow district using WHO/ISH risk prediction charts Deori, Trideep J. Agarwal, Monika Masood, Jamal Sharma, Sugandhi Ansari, Arshi J Family Med Prim Care Original Article CONTEXT: Cardiovascular diseases (CVDs) are the number one cause of death globally, with low- and middle-income countries being affected disproportionately. By 2020, it is projected that there will be 25 million deaths from CVD worldwide, 19 million of which would be from middle- and low-income countries. AIMS: The aim of this study was to estimate the 10-year risk of cardiovascular events among adults aged ≥40 years in a rural population of Lucknow district using the World Health Organization (WHO)/International Society of Hypertension (ISH) risk prediction charts for SEAR-D region. SETTINGS AND DESIGN: This was a community based cross-sectional study, conducted from September 2017 to August 2018, in the rural areas of Lucknow district. METHODS AND MATERIAL: This study was conducted on 397 subjects aged ≥40 years. The two sets of the WHO/ISH risk prediction charts, with and without cholesterol, for WHO SEAR-D region were used in the study. STATISTICAL ANALYSIS USED: SPSS, version 23 was used for data analysis. RESULTS: Using the risk assessment tools, with and without cholesterol, 78.5 and 76.8%, respectively, of the study population were in the 10-year cardiovascular risk category of <10% risk, while 11.2 and 10.4%, respectively, were in the category of ≥20% risk. Risk categories were found to be concordant in 86.3% of the population. CONCLUSIONS: The WHO/ISH risk prediction charts can be used at low-cost resource setting as a tool to predict CVD risk among asymptomatic individuals, thus, helping in early detection and prevention of CVDs in resource-scarce settings. Wolters Kluwer - Medknow 2020-09-30 /pmc/articles/PMC7652118/ /pubmed/33209812 http://dx.doi.org/10.4103/jfmpc.jfmpc_646_20 Text en Copyright: © 2020 Journal of Family Medicine and Primary Care 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
Deori, Trideep J.
Agarwal, Monika
Masood, Jamal
Sharma, Sugandhi
Ansari, Arshi
Estimation of cardiovascular risk in a rural population of Lucknow district using WHO/ISH risk prediction charts
title Estimation of cardiovascular risk in a rural population of Lucknow district using WHO/ISH risk prediction charts
title_full Estimation of cardiovascular risk in a rural population of Lucknow district using WHO/ISH risk prediction charts
title_fullStr Estimation of cardiovascular risk in a rural population of Lucknow district using WHO/ISH risk prediction charts
title_full_unstemmed Estimation of cardiovascular risk in a rural population of Lucknow district using WHO/ISH risk prediction charts
title_short Estimation of cardiovascular risk in a rural population of Lucknow district using WHO/ISH risk prediction charts
title_sort estimation of cardiovascular risk in a rural population of lucknow district using who/ish risk prediction charts
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652118/
https://www.ncbi.nlm.nih.gov/pubmed/33209812
http://dx.doi.org/10.4103/jfmpc.jfmpc_646_20
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