{"title":"急性心肌梗死患者的死亡率和出院结果:基于韩国全国医院出院深度伤害调查数据的研究》。","authors":"Jieun Hwang, Kyunghee Lee","doi":"10.2147/RMHP.S472822","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The aim of this study was to analyze hospital-discharged acute myocardial infarction (AMI) patients in Korea (2006-2020) to understand how pre-existing conditions affect mortality rates.</p><p><strong>Participants and methods: </strong>This study utilized the 2006-2020 Korean National Hospital Discharge In-depth Injury Survey data. A weighted frequency analysis estimated discharged AMI patients and calculated age-standardized discharge and mortality rates, Charlson Comorbidity Index (CCI) score distribution, and general patient characteristics. Weighted logistic regression analysis examined influencing mortality factors.</p><p><strong>Results: </strong>There were 486,464 AMI patients (143,751 female), with AMI-related mortality rates at 7.5% (36,312): 5.7% for males (19,190) and 11.8% for females (17,122). The highest mortality rate was among individuals aged 70-79 years (25%). Factors influencing mortality included sex, insurance type, admission route, hospital bed count, region, operation status, and CCI score. Mortality risk at discharge was 1.151 times higher in females than males (95% CI: 1.002-1.322), 0.787 times lower among those with national health insurance than Medicaid recipients (95% CI 0.64-0.967), 2.182 times higher among those admitted via the emergency department than the outpatient department (95% CI 1.747-2.725), and 3.402 times higher in patients with a CCI score of 3 points than those with 0 points (95% CI 1.263-9.162).</p><p><strong>Conclusion: </strong>The number of discharged AMI patients and related mortality rates increased, underscoring the need for proactive management of chronic diseases, particularly for those with higher CCI scores.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11368094/pdf/","citationCount":"0","resultStr":"{\"title\":\"Mortality and Discharge Outcome in Acute Myocardial Infarction Patients: A Study Based on Korean National Hospital Discharge In-Depth Injury Survey Data.\",\"authors\":\"Jieun Hwang, Kyunghee Lee\",\"doi\":\"10.2147/RMHP.S472822\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The aim of this study was to analyze hospital-discharged acute myocardial infarction (AMI) patients in Korea (2006-2020) to understand how pre-existing conditions affect mortality rates.</p><p><strong>Participants and methods: </strong>This study utilized the 2006-2020 Korean National Hospital Discharge In-depth Injury Survey data. A weighted frequency analysis estimated discharged AMI patients and calculated age-standardized discharge and mortality rates, Charlson Comorbidity Index (CCI) score distribution, and general patient characteristics. Weighted logistic regression analysis examined influencing mortality factors.</p><p><strong>Results: </strong>There were 486,464 AMI patients (143,751 female), with AMI-related mortality rates at 7.5% (36,312): 5.7% for males (19,190) and 11.8% for females (17,122). The highest mortality rate was among individuals aged 70-79 years (25%). Factors influencing mortality included sex, insurance type, admission route, hospital bed count, region, operation status, and CCI score. Mortality risk at discharge was 1.151 times higher in females than males (95% CI: 1.002-1.322), 0.787 times lower among those with national health insurance than Medicaid recipients (95% CI 0.64-0.967), 2.182 times higher among those admitted via the emergency department than the outpatient department (95% CI 1.747-2.725), and 3.402 times higher in patients with a CCI score of 3 points than those with 0 points (95% CI 1.263-9.162).</p><p><strong>Conclusion: </strong>The number of discharged AMI patients and related mortality rates increased, underscoring the need for proactive management of chronic diseases, particularly for those with higher CCI scores.</p>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11368094/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/RMHP.S472822\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/RMHP.S472822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Mortality and Discharge Outcome in Acute Myocardial Infarction Patients: A Study Based on Korean National Hospital Discharge In-Depth Injury Survey Data.
Purpose: The aim of this study was to analyze hospital-discharged acute myocardial infarction (AMI) patients in Korea (2006-2020) to understand how pre-existing conditions affect mortality rates.
Participants and methods: This study utilized the 2006-2020 Korean National Hospital Discharge In-depth Injury Survey data. A weighted frequency analysis estimated discharged AMI patients and calculated age-standardized discharge and mortality rates, Charlson Comorbidity Index (CCI) score distribution, and general patient characteristics. Weighted logistic regression analysis examined influencing mortality factors.
Results: There were 486,464 AMI patients (143,751 female), with AMI-related mortality rates at 7.5% (36,312): 5.7% for males (19,190) and 11.8% for females (17,122). The highest mortality rate was among individuals aged 70-79 years (25%). Factors influencing mortality included sex, insurance type, admission route, hospital bed count, region, operation status, and CCI score. Mortality risk at discharge was 1.151 times higher in females than males (95% CI: 1.002-1.322), 0.787 times lower among those with national health insurance than Medicaid recipients (95% CI 0.64-0.967), 2.182 times higher among those admitted via the emergency department than the outpatient department (95% CI 1.747-2.725), and 3.402 times higher in patients with a CCI score of 3 points than those with 0 points (95% CI 1.263-9.162).
Conclusion: The number of discharged AMI patients and related mortality rates increased, underscoring the need for proactive management of chronic diseases, particularly for those with higher CCI scores.