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Pattern of dyslipidemia and associated factors in coronary artery disease patients in Khyber Pakhtunkhwa: A cross-sectional secondary data analysis

OBJECTIVES: To assess the prevalence, pattern, and associated factors of dyslipidemia in patients with coronary artery disease (CAD) in the Northwest region of Pakistan. METHOD: A cross-sectional secondary data analysis was performed on CAD patients visiting cardiology clinics in selected hospitals...

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Autores principales: Hussain, Arif, Zakria, Muhammad, Ali, Iftikhar, Tariq, Shafiq Ahmad, Hussain, Arshad, Siraj, Sami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Professional Medical Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480735/
https://www.ncbi.nlm.nih.gov/pubmed/37680793
http://dx.doi.org/10.12669/pjms.39.5.7382
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author Hussain, Arif
Zakria, Muhammad
Ali, Iftikhar
Tariq, Shafiq Ahmad
Hussain, Arshad
Siraj, Sami
author_facet Hussain, Arif
Zakria, Muhammad
Ali, Iftikhar
Tariq, Shafiq Ahmad
Hussain, Arshad
Siraj, Sami
author_sort Hussain, Arif
collection PubMed
description OBJECTIVES: To assess the prevalence, pattern, and associated factors of dyslipidemia in patients with coronary artery disease (CAD) in the Northwest region of Pakistan. METHOD: A cross-sectional secondary data analysis was performed on CAD patients visiting cardiology clinics in selected hospitals from July to December 2019. A total of 362 patients were included via consecutive sampling. Dyslipidemia was operationalized according to the “National Cholesterol Education Program (NCEP ATP III) guidelines”. RESULTS: Mixed dyslipidemia was recorded in 92.26% of the patients, while isolated dyslipidemia was observed in 5.24%. A high prevalence of combined dyslipidemia with increased LDL-C, TG, and low HDL-C was noted. Contrarily, elevated LDL-C was the commonest single lipid disorder (84.25%). Hypercholesterolemia was the least common disorder. Increasing BMI was found to be independently associated with hypercholesterolemia (OR: 1.19). Similarly, age (OR: 0.97) and being a rural resident (OR: 2.61) were independent factors associated with hypertriglyceridemia. Furthermore, being an urban resident (OR: 2.25) and increasing BMI (OR: 1.77) were also significantly associated with high LDL-C. CONCLUSION: Mixed dyslipidemias were observed in the majority of the patients. Age, BMI, and residence were noted to be independently associated with abnormal lipids. Early screening and proper management should be encouraged to minimize this significant cardiovascular risk.
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spelling pubmed-104807352023-09-07 Pattern of dyslipidemia and associated factors in coronary artery disease patients in Khyber Pakhtunkhwa: A cross-sectional secondary data analysis Hussain, Arif Zakria, Muhammad Ali, Iftikhar Tariq, Shafiq Ahmad Hussain, Arshad Siraj, Sami Pak J Med Sci Original Article OBJECTIVES: To assess the prevalence, pattern, and associated factors of dyslipidemia in patients with coronary artery disease (CAD) in the Northwest region of Pakistan. METHOD: A cross-sectional secondary data analysis was performed on CAD patients visiting cardiology clinics in selected hospitals from July to December 2019. A total of 362 patients were included via consecutive sampling. Dyslipidemia was operationalized according to the “National Cholesterol Education Program (NCEP ATP III) guidelines”. RESULTS: Mixed dyslipidemia was recorded in 92.26% of the patients, while isolated dyslipidemia was observed in 5.24%. A high prevalence of combined dyslipidemia with increased LDL-C, TG, and low HDL-C was noted. Contrarily, elevated LDL-C was the commonest single lipid disorder (84.25%). Hypercholesterolemia was the least common disorder. Increasing BMI was found to be independently associated with hypercholesterolemia (OR: 1.19). Similarly, age (OR: 0.97) and being a rural resident (OR: 2.61) were independent factors associated with hypertriglyceridemia. Furthermore, being an urban resident (OR: 2.25) and increasing BMI (OR: 1.77) were also significantly associated with high LDL-C. CONCLUSION: Mixed dyslipidemias were observed in the majority of the patients. Age, BMI, and residence were noted to be independently associated with abnormal lipids. Early screening and proper management should be encouraged to minimize this significant cardiovascular risk. Professional Medical Publications 2023 /pmc/articles/PMC10480735/ /pubmed/37680793 http://dx.doi.org/10.12669/pjms.39.5.7382 Text en Copyright: © Pakistan Journal of Medical Sciences https://creativecommons.org/licenses/by/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0 (https://creativecommons.org/licenses/by/3.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Hussain, Arif
Zakria, Muhammad
Ali, Iftikhar
Tariq, Shafiq Ahmad
Hussain, Arshad
Siraj, Sami
Pattern of dyslipidemia and associated factors in coronary artery disease patients in Khyber Pakhtunkhwa: A cross-sectional secondary data analysis
title Pattern of dyslipidemia and associated factors in coronary artery disease patients in Khyber Pakhtunkhwa: A cross-sectional secondary data analysis
title_full Pattern of dyslipidemia and associated factors in coronary artery disease patients in Khyber Pakhtunkhwa: A cross-sectional secondary data analysis
title_fullStr Pattern of dyslipidemia and associated factors in coronary artery disease patients in Khyber Pakhtunkhwa: A cross-sectional secondary data analysis
title_full_unstemmed Pattern of dyslipidemia and associated factors in coronary artery disease patients in Khyber Pakhtunkhwa: A cross-sectional secondary data analysis
title_short Pattern of dyslipidemia and associated factors in coronary artery disease patients in Khyber Pakhtunkhwa: A cross-sectional secondary data analysis
title_sort pattern of dyslipidemia and associated factors in coronary artery disease patients in khyber pakhtunkhwa: a cross-sectional secondary data analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480735/
https://www.ncbi.nlm.nih.gov/pubmed/37680793
http://dx.doi.org/10.12669/pjms.39.5.7382
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