Xingming Cai1, Jiayong Li2, Wenting Cai2, Chen Chen2, Jianyong Ma3, Zengshuo Xie2, Yugang Dong2, Chen Liu2, Ruicong Xue4, Jingjing Zhao5. 1. Department of Geriatric, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, PR China. 2. Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, PR China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, PR China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular, Diseases, Guangzhou, PR China. 3. Department of Pharmacology and Systems Physiology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA. 4. Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, PR China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, PR China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular, Diseases, Guangzhou, PR China. Electronic address: xrcgrayson@163.com. 5. Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, PR China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou 510080, PR China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular, Diseases, Guangzhou, PR China. Electronic address: zhaojingj@mail.sysu.edu.cn.
Abstract
BACKGROUND: Individuals with diabetes have a high risk of cardiovascular disease (CVD). However, the association between type 1 diabetes mellitus (T1DM) and the risk of CVD has not been well addressed. This meta-analysis aimed to investigate the association between T1DM and CVD. METHODS: We searched the PubMed and EMBASE for studies that examined the association between T1DM and CVD until October 2020. We calculated the pooled risk ratios (RRs) with confidence intervals (CIs) from individual studies based on a random-effects model. RESULTS: We included 10 observational studies involving 166,027 patients with T1DM, and individuals were matched controls from the general population. Among T1DM patients, the RR of CVD was 5.09 (95% CI, 3.72-6.96), of coronary heart disease (CHD) was 9.38 (95% CI, 5.56-15.82), and of myocardial infarction was 6.37 (95% CI, 3.81-10.66). The RR of heart failure was 4.29 (95% CI, 3.54-5.19), of atrial fibrillation was 1.36 (95% CI, 1.17-1.59), and of stroke was 4.08 (95% CI, 3.42-4.86). Moreover, there was an increased RR among females for CHD, CVD, myocardial infarction, and stroke associated with T1DM. CONCLUSIONS: This study suggests that T1DM is associated with an increased risk of several types of CVD. However, the possible mechanisms for the increased risk of CVD remain unclear.
BACKGROUND: Individuals with diabetes have a high risk of cardiovascular disease (CVD). However, the association between type 1 diabetes mellitus (T1DM) and the risk of CVD has not been well addressed. This meta-analysis aimed to investigate the association between T1DM and CVD. METHODS: We searched the PubMed and EMBASE for studies that examined the association between T1DM and CVD until October 2020. We calculated the pooled risk ratios (RRs) with confidence intervals (CIs) from individual studies based on a random-effects model. RESULTS: We included 10 observational studies involving 166,027 patients with T1DM, and individuals were matched controls from the general population. Among T1DM patients, the RR of CVD was 5.09 (95% CI, 3.72-6.96), of coronary heart disease (CHD) was 9.38 (95% CI, 5.56-15.82), and of myocardial infarction was 6.37 (95% CI, 3.81-10.66). The RR of heart failure was 4.29 (95% CI, 3.54-5.19), of atrial fibrillation was 1.36 (95% CI, 1.17-1.59), and of stroke was 4.08 (95% CI, 3.42-4.86). Moreover, there was an increased RR among females for CHD, CVD, myocardial infarction, and stroke associated with T1DM. CONCLUSIONS: This study suggests that T1DM is associated with an increased risk of several types of CVD. However, the possible mechanisms for the increased risk of CVD remain unclear.
Authors: Antonio J Martínez-Ortega; Cristina Muñoz-Gómez; Noelia Gros-Herguido; Pablo Jesús Remón-Ruiz; Domingo Acosta-Delgado; Fernando Losada-Viñau; Alfonso Pumar-López; Miguel Ángel Mangas-Cruz; Irene González-Navarro; Gema López-Gallardo; Virginia Bellido; Alfonso Manuel Soto-Moreno Journal: J Clin Med Date: 2022-02-17 Impact factor: 4.241