Objective: Because acute myocardial infarction (AMI) is a major cause of death, China faces the challenge of improving its quality of care. This study provides context-specific evidence of association between 30-day mortality and hospital characteristics in China to extend the understanding of hospitalized AMI patients.
Methods: We conducted a retrospective cohort study of 67,619 hospitalized AMI patients at 372 tertiary and secondary hospitals in Sichuan, China, between January 1, 2018 and December 31, 2020. Using a hierarchical logistic regression model to control risk factors, we explored relationships among 30-day mortality, hospital level, AMI volume, and percutaneous coronary intervention (PCI) timeliness. Locally weighted scatterplot smoothing was used to observe the trends of 30-day mortality with increased AMI volume and PCI timeliness.
Results: After risk factor adjustment, the 30-day mortality model demonstrated that a lower hospital level and smaller AMI volume were associated with higher 30-day mortality (medium-volume: OR = 1.511, 95% CI (1.195, 1.910); small-volume: OR = 1.636, 95% CI (1.277, 2.096); other tertiary: OR = 1.190, 95% CI (1.037, 1.365); secondary: OR = 1.524, 95% CI (1.289, 1.800)). Similarly, 30-day mortality was higher for patients at hospitals with a low PCI timeliness (low timeliness: OR = 1.318, 95% CI (1.079, 1.610)). Scatterplot smoothing showed hospital 30-day mortality first reduced quickly and gradually stabilized with increased AMI volume and PCI timeliness.
Conclusion: Patients admitted to tertiary grade A hospitals, large-volume hospitals, and high- or medium-timeliness hospitals were more likely to survive at 30 days. Policymakers should focus on improving the outcomes at hospitals without these characteristics.
Keywords: 30-day mortality; acute myocardial infarction; hierarchical logistic regression model; hospital characteristics; in-hospital mortality.
© 2022 Chinese Cochrane Center, West China Hospital of Sichuan University and John Wiley & Sons Australia, Ltd.