1
|
Al-Khlaiwi T, Habib SS, Bayoumy N, Al-Khliwi H, Meo SA. Identifying risk factors and mortality rate of premature coronary artery disease in young Saudi population. Sci Rep 2024; 14:12727. [PMID: 38830947 PMCID: PMC11148092 DOI: 10.1038/s41598-024-62970-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 05/23/2024] [Indexed: 06/05/2024] Open
Abstract
Coronary artery disease is a leading cause of morbidity and mortality worldwide. It occurs due to a combination of genetics, lifestyle, and environmental factors. Premature coronary artery disease (PCAD) is a neglected clinical entity despite the rising number of cases worldwide. This study aimed to investigate the risk factors of premature coronary artery disease. In this study, we searched articles that had studied the risk factors of premature coronary artery diseases from January 2000 to July 2022 in Saudi Arabia in Web of Science, Pub Med, Scopus, Springer, and Wiley databases. The final analysis is based on seven articles. The smoking prevalence was 39%, diabetes mellitus 41%, hypertension 33%, overweight and obesity 18%, family history of coronary artery disease (CAD) 19%, dyslipidemia 37%, and the prevalence range of low-density lipoprotein cholesterol was 33.8-55.0%. The results revealed a mortality prevalence of 4% ranging from 2 to 8% which is similar to the prevalence in older patients which was 2-10%. Smoking, diabetes mellitus, hypertension, family history of CAD, dyslipidemia, and overweight/obesity are significantly and positively associated with premature coronary artery diseases. The health authorities should design and implement an intensive and effective prophylactic plan to minimize the subsequent impact of PCAD on the young population. In addition, early diagnosis of PCAD has great value in providing timely treatment, managing the patients, and minimizing the burden of the disease.
Collapse
Affiliation(s)
- Thamir Al-Khlaiwi
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Syed Shahid Habib
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Nervana Bayoumy
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | | | - Sultan Ayoub Meo
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
| |
Collapse
|
2
|
Higo Y, Hisamatsu T, Nakagawa Y, Sawayama Y, Yano Y, Kadota A, Fujiyoshi A, Kadowaki S, Torii S, Kondo K, Watanabe Y, Ueshima H, Miura K. Association of Anthropometric and CT-Based Obesity Indices with Subclinical Atherosclerosis. J Atheroscler Thromb 2024; 31:48-60. [PMID: 37558497 PMCID: PMC10776301 DOI: 10.5551/jat.64096] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 06/07/2023] [Indexed: 08/11/2023] Open
Abstract
AIM Few studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery calcification (CAC), aortic artery calcification (AoAC), and aortic valve calcification (AVC). METHODS We assessed cross-sectcional associations of anthropometric and CT-based obesity indices with CAC, AoAC, and AVC. Anthropometric measures included body mass index (BMI), waist circumference, hip ircumference, waist-to-hip circumference ratio, and waist-to-height ratio in 931 men (mean age, 63.7 years) from a population-based cohort. CT images at the L4/5 level were obtained to calculate the areas of abdominal visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), total adipose tissue (TAT), VAT-to-SAT ratio (VSR), and VAT-to-TAT ratio (VTR). CAC, AoAC, and AVC were quantified using the Agatston score based on CT scanning. RESULTS CAC, AVC, and AoAC were present in 348 (62.6%), 173 (18.6%), and 769 (82.6%) participants, respectively. In multivariable models adjusting for age, lifestyle factors, and CT types (electron beam CT and multidetector row CT), anthropometric and CT-based obesity indices were positively associated with CAC (p<0.01). Conversely, VAT-to-SAT ratio and VAT-to-TAT ratio were positively associated with AoAC (p<0.01). Any obesity indices were not associated with AVC. CONCLUSIONS The strength of the associations of obesity indices with subclinical atherosclerosis varied according to the anatomically distinct atherosclerotic lesions, among men.
Collapse
Affiliation(s)
- Yosuke Higo
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Takashi Hisamatsu
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Yoshihisa Nakagawa
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Yuichi Sawayama
- Department of Cardiovascular Medicine, Kurashiki Central Hospital, Okayama, Japan
| | - Yuichiro Yano
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Aya Kadota
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Shiga University of Medical Science, Shiga Japan
| | - Akira Fujiyoshi
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
- Department of Hygiene, Wakayama Medical University, Wakayama, Japan
| | - Sayaka Kadowaki
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
- Department of Pediatrics, Uji Tokushukai Hospital, Kyoto, Japan
| | - Sayuki Torii
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Shiga University of Medical Science, Shiga Japan
| | - Keiko Kondo
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Shiga University of Medical Science, Shiga Japan
| | - Yoshiyuki Watanabe
- Department of Radiology, Shiga University of Medical Science, Shiga, Japan
| | - Hirotsugu Ueshima
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Shiga University of Medical Science, Shiga Japan
| | - Katsuyuki Miura
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Shiga University of Medical Science, Shiga Japan
| |
Collapse
|