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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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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. |
format | Online Article Text |
id | pubmed-7652118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
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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