Association of Admission Time and Mortality in STEMI Patients: A Systematic Review and Meta-analysis.
Surya DharmaWilliam KamarullahAdelia Putri SabrinaPublished in: The International journal of angiology : official publication of the International College of Angiology, Inc (2022)
This systematic review and meta-analysis aimed to evaluate patients with acute ST-segment elevation myocardial infarction (STEMI) who were admitted during off-hours and treated with primary angioplasty associated with an increased risk of mortality compared with those admitted during regular working hours. We performed a systematic literature search using PubMed, SCOPUS, Europe PMC, and Cochrane CENTRAL databases that was finalized on March 15, 2021. The primary outcome was mortality comprising early (in-hospital), midterm (30 days to 1 year), and long-term mortality (>1 year). A total of 384,452 patients from 56 studies were included. The overall mortality of acute STEMI patients admitted during off-hours and regular hours were 6.1 and 6.7%, respectively. Patients admitted during off-hours had similar risk of early, midterm, and long-term mortality compared to those admitted during regular working hours ([relative risk or RR = 1.07, 95% confidence interval or CI, 1.00-1.14, p = 0.06; I 2 = 45%, p = 0.0009], [RR = 1.00, 95% CI, 0.95-1.05, p = 0.92; I 2 = 13%, p = 0.26], and [RR = 0.95, 95% CI, 0.86-1.04, p = 0.26; I 2 = 0%, p = 0.76], respectively). Subgroup analyses indicated that the results were consistent across all subgroups ([women vs. men], [age >65 years vs. ≤65 years], and [Killip classification II to IV vs. Killip I]). Funnel plot was asymmetrical. However, Egger's test suggests no significance of small-study effects ( p = 0.19). This meta-analysis showed that patients with acute STEMI who were admitted during off-hours and treated with primary angioplasty had similar risk of early, midterm, and long-term mortality compared with those admitted during regular working hours.
Keyphrases
- st segment elevation myocardial infarction
- cardiovascular events
- percutaneous coronary intervention
- systematic review
- end stage renal disease
- newly diagnosed
- risk factors
- st elevation myocardial infarction
- ejection fraction
- healthcare
- type diabetes
- randomized controlled trial
- peritoneal dialysis
- machine learning
- cardiovascular disease
- intensive care unit
- deep learning
- drug induced
- case control
- study protocol