Abstract 4144705: Risk of Cardiovascular Disease in Giant Cell Arteritis: Systematic Review and Meta-analysis

Background: Giant cell arteritis (GCA) is a chronic inflammatory condition associated with a significantly increased risk of various cardiovascular and thromboembolic events. Existing studies show that there may be an increased risk of cardiovascular disease in GCA, but the results are inconsistent. This meta-analysis aims to quantify the association between GCA and the risk of various cardiovascular outcomes, providing a comprehensive evaluation of the cardiovascular burden in patients with GCA. Methods: A comprehensive literature search was carried out using several databases. Studies were included based on predefined eligibility criteria. Using random effect models, Mantel-Haenszel odds ratios and associated 95% confidence intervals were produced to report the overall effect size. Funnel plots, Egger regression tests, and Begg-Mazumdar's rank correlation test were used to assess publication bias. The endpoint included any cardiovascular events, myocardial infarction (MI), coronary artery disease (CAD), aortic aneurysm/dissection, peripheral artery disease (PAD), stroke, and venous thromboembolism. Results: The meta-analysis included 14 studies with a combined sample size of 609,954 patients, where the mean age was 73.8 years and 72.2% were female. Patients with GCA had significantly higher odds of experiencing any cardiovascular event (OR = 1.81, 95% CI = 1.55 to 2.15), MI (OR = 1.63, 95% CI = 1.34 to 1.97), CAD (OR = 1.51, 95% CI = 1.09 to 2.08), aortic aneurysm/dissection (OR = 1.95, 95% CI = 1.55 to 2.46), PAD (OR = 2.02, 95% CI = 1.69 to 2.41), stroke (OR = 1.52, 95% CI = 1.25 to 1.84), venous thromboembolism (OR = 1.92, 95% CI = 1.73 to 2.12), deep vein thrombosis (OR = 2.09, 95% CI = 1.50 to 2.91) and pulmonary embolism (OR = 2.45, 95% CI = 1.38 to 4.36). The heterogeneity of the outcomes ranged from low to high across different analyses. No publication bias was evident in the analysis. Conclusion: The meta-analysis highlights the critical need for vigilant cardiovascular monitoring and proactive management strategies in GCA patients. Further research is needed to identify specific factors that contribute to cardiovascular complications in these patients.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4144705
Primary Topic
Vasculitis and related conditions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4144705: Risk of Cardiovascular Disease in Giant Cell Arteritis: Systematic Review and Meta-analysis

Tirath Patel, Bijay Mukesh Jeswani, Sanjana Allam, Sawai Singh Rathore et al.
Circulation
Vasculitis and related conditions
article

Abstract 4144705: Risk of Cardiovascular Disease in Giant Cell Arteritis: Systematic Review and Meta-analysis

Tirath Patel, Bijay Mukesh Jeswani, Sanjana Allam, Sawai Singh Rathore, Aman Goyal, Swetha Manoj, Saif Syed
article en

Abstract

Background: Giant cell arteritis (GCA) is a chronic inflammatory condition associated with a significantly increased risk of various cardiovascular and thromboembolic events. Existing studies show that there may be an increased risk of cardiovascular disease in GCA, but the results are inconsistent. This meta-analysis aims to quantify the association between GCA and the risk of various cardiovascular outcomes, providing a comprehensive evaluation of the cardiovascular burden in patients with GCA. Methods: A comprehensive literature search was carried out using several databases. Studies were included based on predefined eligibility criteria. Using random effect models, Mantel-Haenszel odds ratios and associated 95% confidence intervals were produced to report the overall effect size. Funnel plots, Egger regression tests, and Begg-Mazumdar's rank correlation test were used to assess publication bias. The endpoint included any cardiovascular events, myocardial infarction (MI), coronary artery disease (CAD), aortic aneurysm/dissection, peripheral artery disease (PAD), stroke, and venous thromboembolism. Results: The meta-analysis included 14 studies with a combined sample size of 609,954 patients, where the mean age was 73.8 years and 72.2% were female. Patients with GCA had significantly higher odds of experiencing any cardiovascular event (OR = 1.81, 95% CI = 1.55 to 2.15), MI (OR = 1.63, 95% CI = 1.34 to 1.97), CAD (OR = 1.51, 95% CI = 1.09 to 2.08), aortic aneurysm/dissection (OR = 1.95, 95% CI = 1.55 to 2.46), PAD (OR = 2.02, 95% CI = 1.69 to 2.41), stroke (OR = 1.52, 95% CI = 1.25 to 1.84), venous thromboembolism (OR = 1.92, 95% CI = 1.73 to 2.12), deep vein thrombosis (OR = 2.09, 95% CI = 1.50 to 2.91) and pulmonary embolism (OR = 2.45, 95% CI = 1.38 to 4.36). The heterogeneity of the outcomes ranged from low to high across different analyses. No publication bias was evident in the analysis. Conclusion: The meta-analysis highlights the critical need for vigilant cardiovascular monitoring and proactive management strategies in GCA patients. Further research is needed to identify specific factors that contribute to cardiovascular complications in these patients.

CirculationVol. 150(Suppl_1)
Royal College of Surgeons in Ireland (IE), Gandhi Medical College & Hospital (IN), King Edward Memorial Hospital and Seth G.S. Medical College (IN), Kannur Medical College (IN), Government Medical College (IN), American University of Antigua (AG)
Good health and well-being
Openalex Percentile: Top 61%
Vasculitis and related conditions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.