Cargando…

Unconventional Cardiovascular Risk Factors and Systematic Coronary Risk Estimation (SCORE) in the Lebanese Rural Population: The Forgotten Factors

PURPOSE: To evaluate the correlation between unconventional risk factors and the Systematic Coronary Risk Estimation (SCORE), and estimate the prevalence of conventional and unconventional cardiovascular (CV) risk factors in the rural Lebanese population in order to assess their CV risk. METHODS: Th...

Descripción completa

Detalles Bibliográficos
Autores principales: Gebara, Nicole, Abdel-Massih, Tony, Sahakian, Jean-Paul, Sleilaty, Ghassan, Bazzi, Mariam, Ashoush, Ramzi, Jebara, Victor, Habib, Jad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416781/
https://www.ncbi.nlm.nih.gov/pubmed/37575670
http://dx.doi.org/10.2147/VHRM.S411864
_version_ 1785087858182193152
author Gebara, Nicole
Abdel-Massih, Tony
Sahakian, Jean-Paul
Sleilaty, Ghassan
Bazzi, Mariam
Ashoush, Ramzi
Jebara, Victor
Habib, Jad
author_facet Gebara, Nicole
Abdel-Massih, Tony
Sahakian, Jean-Paul
Sleilaty, Ghassan
Bazzi, Mariam
Ashoush, Ramzi
Jebara, Victor
Habib, Jad
author_sort Gebara, Nicole
collection PubMed
description PURPOSE: To evaluate the correlation between unconventional risk factors and the Systematic Coronary Risk Estimation (SCORE), and estimate the prevalence of conventional and unconventional cardiovascular (CV) risk factors in the rural Lebanese population in order to assess their CV risk. METHODS: This is a retrospective descriptive study conducted between November 2017 and June 2019 among the Lebanese rural population. The risk factors were analyzed from the files of the patients who presented for the CV disease screening days organized by a non governmental organization. The CV risk estimation tool is the SCORE. The classification of socio-economic level ranges from zero (low level) to 3 (high level). RESULTS: A total of 433 patients were included. The prevalence of hypertension, diabetes, dyslipidemia, smoking, and metabolic syndrome was 45.1%, 31.2%, 39.2%, 50% and 42.9% respectively. Only 13.6% of hypertensive patients and 6.7% of diabetics were controlled. A total of 0 or 1 point for the classification of socio-economic status was found in 62.6% of cases. A family history of CV diseases was present in 87.3% of participants. The SCORE was correlated with diabetes and metabolic syndrome (p = 0.000), without being correlated to socio-economic status (HR = −0.104; p = 0.059) or to family history (p = 0.834). CONCLUSION: The socio-economic status and the family history of CV disease must be evaluated in addition to the classical risk calculation of the SCORE to better pinpoint the actual risk of the targeted population. The risk factors are prevalent but poorly controlled, hence the need for a national effort to ensure better care for the rural Lebanese population.
format Online
Article
Text
id pubmed-10416781
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-104167812023-08-12 Unconventional Cardiovascular Risk Factors and Systematic Coronary Risk Estimation (SCORE) in the Lebanese Rural Population: The Forgotten Factors Gebara, Nicole Abdel-Massih, Tony Sahakian, Jean-Paul Sleilaty, Ghassan Bazzi, Mariam Ashoush, Ramzi Jebara, Victor Habib, Jad Vasc Health Risk Manag Original Research PURPOSE: To evaluate the correlation between unconventional risk factors and the Systematic Coronary Risk Estimation (SCORE), and estimate the prevalence of conventional and unconventional cardiovascular (CV) risk factors in the rural Lebanese population in order to assess their CV risk. METHODS: This is a retrospective descriptive study conducted between November 2017 and June 2019 among the Lebanese rural population. The risk factors were analyzed from the files of the patients who presented for the CV disease screening days organized by a non governmental organization. The CV risk estimation tool is the SCORE. The classification of socio-economic level ranges from zero (low level) to 3 (high level). RESULTS: A total of 433 patients were included. The prevalence of hypertension, diabetes, dyslipidemia, smoking, and metabolic syndrome was 45.1%, 31.2%, 39.2%, 50% and 42.9% respectively. Only 13.6% of hypertensive patients and 6.7% of diabetics were controlled. A total of 0 or 1 point for the classification of socio-economic status was found in 62.6% of cases. A family history of CV diseases was present in 87.3% of participants. The SCORE was correlated with diabetes and metabolic syndrome (p = 0.000), without being correlated to socio-economic status (HR = −0.104; p = 0.059) or to family history (p = 0.834). CONCLUSION: The socio-economic status and the family history of CV disease must be evaluated in addition to the classical risk calculation of the SCORE to better pinpoint the actual risk of the targeted population. The risk factors are prevalent but poorly controlled, hence the need for a national effort to ensure better care for the rural Lebanese population. Dove 2023-08-07 /pmc/articles/PMC10416781/ /pubmed/37575670 http://dx.doi.org/10.2147/VHRM.S411864 Text en © 2023 Gebara et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Gebara, Nicole
Abdel-Massih, Tony
Sahakian, Jean-Paul
Sleilaty, Ghassan
Bazzi, Mariam
Ashoush, Ramzi
Jebara, Victor
Habib, Jad
Unconventional Cardiovascular Risk Factors and Systematic Coronary Risk Estimation (SCORE) in the Lebanese Rural Population: The Forgotten Factors
title Unconventional Cardiovascular Risk Factors and Systematic Coronary Risk Estimation (SCORE) in the Lebanese Rural Population: The Forgotten Factors
title_full Unconventional Cardiovascular Risk Factors and Systematic Coronary Risk Estimation (SCORE) in the Lebanese Rural Population: The Forgotten Factors
title_fullStr Unconventional Cardiovascular Risk Factors and Systematic Coronary Risk Estimation (SCORE) in the Lebanese Rural Population: The Forgotten Factors
title_full_unstemmed Unconventional Cardiovascular Risk Factors and Systematic Coronary Risk Estimation (SCORE) in the Lebanese Rural Population: The Forgotten Factors
title_short Unconventional Cardiovascular Risk Factors and Systematic Coronary Risk Estimation (SCORE) in the Lebanese Rural Population: The Forgotten Factors
title_sort unconventional cardiovascular risk factors and systematic coronary risk estimation (score) in the lebanese rural population: the forgotten factors
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416781/
https://www.ncbi.nlm.nih.gov/pubmed/37575670
http://dx.doi.org/10.2147/VHRM.S411864
work_keys_str_mv AT gebaranicole unconventionalcardiovascularriskfactorsandsystematiccoronaryriskestimationscoreinthelebaneseruralpopulationtheforgottenfactors
AT abdelmassihtony unconventionalcardiovascularriskfactorsandsystematiccoronaryriskestimationscoreinthelebaneseruralpopulationtheforgottenfactors
AT sahakianjeanpaul unconventionalcardiovascularriskfactorsandsystematiccoronaryriskestimationscoreinthelebaneseruralpopulationtheforgottenfactors
AT sleilatyghassan unconventionalcardiovascularriskfactorsandsystematiccoronaryriskestimationscoreinthelebaneseruralpopulationtheforgottenfactors
AT bazzimariam unconventionalcardiovascularriskfactorsandsystematiccoronaryriskestimationscoreinthelebaneseruralpopulationtheforgottenfactors
AT ashoushramzi unconventionalcardiovascularriskfactorsandsystematiccoronaryriskestimationscoreinthelebaneseruralpopulationtheforgottenfactors
AT jebaravictor unconventionalcardiovascularriskfactorsandsystematiccoronaryriskestimationscoreinthelebaneseruralpopulationtheforgottenfactors
AT habibjad unconventionalcardiovascularriskfactorsandsystematiccoronaryriskestimationscoreinthelebaneseruralpopulationtheforgottenfactors