Coronary artery disease (CAD) is a leading cause of mortality globally. However, the etiology and pathogenesis of CAD are not fully understood. The aim of the present meta-analysis was to estimate the association between the risk of CAD and () infection. A literature search was performed to identify eligible studies published prior to August 14, 2014. Fixed or random effect meta-analytical methods were used to pool the data and perform the subgroup analyses. The effect measures estimated were the odds ratios (OR) for dichotomous data reported with 95% confidence intervals (95% CI). Of the 109 studies identified using the search parameters, 26 cross-sectional studies were eligible involving 3,901 CAD patients and 2,751 controls. infection was associated with an increased risk of CAD (OR: 1.96, 95% CI: 1.47-2.63, P<0.00001). When the adjusted ORs were used to conduct another meta-analysis, the OR value decreased, but the association remained significant (OR: 1.42, 95% CI: 1.09-1.86, P=0.008). The association between infection and CAD risk was stronger in younger individuals than in older individuals (OR: 2.36, 95% CI 1.50-3.73 vs. OR: 1.59, 95% CI: 1.19-2.11). A significant association was observed in studies from Europe (OR: 2.11, 95% CI: 1.54-2.88, P=0.01) and the USA (OR: 1.43, 95% CI: 1.08-1.91, P=0.36). There is a potential association between infection and the risk of CAD. The association may be influenced by age and ethnicity.
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http://dx.doi.org/10.3892/etm.2017.4028 | DOI Listing |
Gen Thorac Cardiovasc Surg
January 2025
Department of Perfusion, Faculty of Health Sciences, Harran University, Sanliurfa, Türkiye.
JACC Cardiovasc Imaging
January 2025
Department of Medicine, Lundquist Institute at Harbor-UCLA, Torrance, California, USA.
JACC Cardiovasc Imaging
January 2025
Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address:
Background: Implementation of semaglutide weight loss therapy has been challenging due to drug supply and cost, underscoring a need to identify those who derive the greatest absolute benefit.
Objectives: Allocation of semaglutide was modeled according to coronary artery calcium (CAC) among individuals without diabetes or established atherosclerotic cardiovascular disease (CVD).
Methods: In this analysis, 3,129 participants in the MESA (Multi-Ethnic Study of Atherosclerosis) without diabetes or clinical CVD met body mass index criteria for semaglutide and underwent CAC scoring on noncontrast cardiac computed tomography.
JACC Cardiovasc Interv
December 2024
British Heart Foundation Centre of Research Excellence at the School of Cardiovascular Medicine and Sciences, King's College London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom. Electronic address:
Turk Kardiyol Dern Ars
January 2025
Department of Cardiology, Dr Siyami Ersek Thoracic and Cardiovascular Surgery Training Hospital, İstanbul, Türkiye.
Objective: Coronary artery disease (CAD) is the leading cause of morbidity and mortality globally. The growing interest in natural language processing chatbots (NLPCs) has driven their inevitable widespread adoption in healthcare. The purpose of this study was to evaluate the accuracy and reproducibility of responses provided by NLPCs, such as ChatGPT, Gemini, and Bing, to frequently asked questions about CAD.
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