Acute glycemic variability on admission predicts the prognosis in hospitalized patients with coronary artery disease: a meta-analysis
| Autor: | Zhaokun Pu, Zesen Han, Dan Wang, Pingshuan Dong, Lihong Lai, Yingli Xie, Xishan Yang, Yanyu Wang |
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| Rok vydání: | 2019 |
| Předmět: |
Blood Glucose
medicine.medical_specialty Acute coronary syndrome Endocrinology Diabetes and Metabolism medicine.medical_treatment 030209 endocrinology & metabolism Coronary Artery Disease Coronary artery disease 03 medical and health sciences 0302 clinical medicine Endocrinology Risk Factors Internal medicine medicine Humans Prospective Studies Prospective cohort study Glycemic business.industry Blood Glucose Self-Monitoring Percutaneous coronary intervention medicine.disease Prognosis 030220 oncology & carcinogenesis Meta-analysis Relative risk business Biomarkers Cohort study |
| Zdroj: | Endocrine. 67(3) |
| ISSN: | 1559-0100 |
| Popis: | Increased glycemic variability has been related with poor prognosis in patients with coronary artery disease (CAD). However, whether diabetic status or subtype of CAD could affect the association remains unknown. We performed a meta-analysis to systematically evaluate the association between the mean amplitude of glycemic excursions (MAGE) on continuous glucose monitoring and the incidence of major adverse cardiovascular events (MACEs) in CAD patients. Relevant prospective cohort studies were identified through search of PubMed, Embase, WanFang, and CNKI databases. A random-effect model was used to pool the results. Subgroup analyses were performed to evaluate the influences of the predefined study characteristics on the outcome. Eleven cohort studies with 2666 hospitalized patients with acute coronary syndrome (ACS) or stable CAD for percutaneous coronary intervention were included. Pooled results showed that higher MAGE at admission was associated with higher incidence of MACEs during follow-up (adjusted relative risk [RR]: 1.84, p 0.05). Significant publication bias was detected (p = 0.041). Trim-and-fill analysis retrieved three studies to generate symmetrical funnel plots. Meta-analysis that incorporated these studies showed similar results (RR: 1.80, p |
| Databáze: | OpenAIRE |
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