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<p>Acute myocardial infarction (AMI) is a disease associated with high mortality. Therefore, early identification of high-risk patients and timely intervention are critical to improving long-term survival. This study aims to find the association between long-term all-cause mortality after AMI discharge using healthcare utilization patterns. Using the National Health Insurance Service-National Sample Cohort in South Korea (2011–2019), we included patients who survived for 120&#xa0;days after AMI discharge. Four healthcare utilization patterns were identified using the latent class linear mixed model. The high-utilization group was characterized by the highest number of outpatient visits, the longest length of stays, and greatest health expenditure than other groups. In contrast, the decreasing-utilization group showed a declining trend in these components over time. We estimated the hazard ratios for all-cause mortality after 120&#xa0;days from AMI discharge using the Cox-proportional hazard model. Of 3,535 individuals, 266 (7.5%) died and the mean age were 74.0&#xa0;years (SD = 10.2). Among the elderly population (over 65&#xa0;years), high-utilization (HR = 1.96; 95% CI, 1.13–3.42) and second-high-utilization (HR = 2.05; 95% CI, 1.22–3.43) groups had a significantly higher mortality risk than the decreasing-utilization group. This study confirmed the association between healthcare utilization patterns and long-term mortality among the elderly. Therefore, healthcare utilization patterns can be considered a predictor of long-term all-cause mortality after AMI discharge.</p>

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Association between healthcare utilization patterns and long-term all-cause mortality after acute myocardial infarction discharge in South Korea

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月30日

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  • Ji-Woong Nam,
  • Woo-Ri Lee,
  • Gi-Hyun Kim,
  • Kyung-min Lee,
  • Young-Joo Won,
  • Ki-Bong Yoo

摘要

Acute myocardial infarction (AMI) is a disease associated with high mortality. Therefore, early identification of high-risk patients and timely intervention are critical to improving long-term survival. This study aims to find the association between long-term all-cause mortality after AMI discharge using healthcare utilization patterns. Using the National Health Insurance Service-National Sample Cohort in South Korea (2011–2019), we included patients who survived for 120 days after AMI discharge. Four healthcare utilization patterns were identified using the latent class linear mixed model. The high-utilization group was characterized by the highest number of outpatient visits, the longest length of stays, and greatest health expenditure than other groups. In contrast, the decreasing-utilization group showed a declining trend in these components over time. We estimated the hazard ratios for all-cause mortality after 120 days from AMI discharge using the Cox-proportional hazard model. Of 3,535 individuals, 266 (7.5%) died and the mean age were 74.0 years (SD = 10.2). Among the elderly population (over 65 years), high-utilization (HR = 1.96; 95% CI, 1.13–3.42) and second-high-utilization (HR = 2.05; 95% CI, 1.22–3.43) groups had a significantly higher mortality risk than the decreasing-utilization group. This study confirmed the association between healthcare utilization patterns and long-term mortality among the elderly. Therefore, healthcare utilization patterns can be considered a predictor of long-term all-cause mortality after AMI discharge.