Influencing factors of the in-hospital mortality of stroke and acute myocardial infarction : an application of the algebra effectiveness model

Abstract

Ischemic stroke, hemorrhagic stroke, and acute myocardial infarction (AMI) are diseases that occur during the so-called golden hour. These diseases need timely treatment and quick response to reduce mortality. Although the government has made efforts to improve survival, 30-day in-hospital mortality rates due to stroke and AMI are high. This study aimed to identify and compare factors that affect 7-day, 30-day, and in-hospital mortality in patients who had a stroke and have AMI who are admitted via the emergency department. This study used the Korean National Health Insurance claims data from 2002 to 2013. The study sample included 7,693 patients who had an ischemic stroke, 2,828 patients who had a hemorrhagic stroke, and 4,916 patients with AMI who were admitted via the emergency departments of a superior general hospital and general hospital, did not transfer to another hospital or come from another hospital, and were aged ≥20 years. This study was analyzed by using Cox’s proportional hazards frailty model. 500 (6.5%) patients were dead of 7,693 patients with ischemic stroke, 569 (20.1%) patients were dead of 2,828 patients with hemorrhagic stroke, and 399 (8.1%) patients were dead of 4,916 patients with AMI. The analysis of the association between patient characteristics and mortality, clinical factors were associated with 7-day mortality such as age, sex, hypertension, and diabetes in all three diseases. Non-clinical factors such as individual household income and health insurance type were associated with 30-day mortality and in-hospital mortality. In the analysis of the association between treatment characteristics and mortality, performing PCI was associated with reducing adjusted hazard ratio (aHR) for 7-day, 30-day and in-hospital mortality (aHR,0.40; 95% CI,0.29-0.54; aHR, 0.35; 95% CI, 0.23-0.55; aHR, 0.43; 95% CI, 0.27-0.67, respectively) among AMI patients. In patients with AMI and ischemic stroke, the adjusted hazard ratio of patient who utilized intensive care unit service was high for 7-day, 30-day and in-hospital mortality comparing to those who did not utilize intensive care unit service. There was a weekend effect in AMI and ischemic stroke. In patients with hemorrhagic stroke, the risk of mortality for patients who received surgical interventions such as trephination and craniotomy was high than those who received medical interventions such as administration of mannitol and intravenous antihypertensive agents to control intracranial pressure (eg., for 30-day mortality; aHR, 2.42; 95% CI, 1.36-4.32 for patients who received mannitol; aHR, 3.30; 95% CI, 1.80-6.04 for patients who received trephination; aHR, 5.27; 95% CI, 2.49-11.17 for patients who received craniotomy). In the analysis of the association between hospital characteristics and mortality, characteristic of funding source and number of patients per one nurse was associated with reducing risk of mortality for 7-day, 30-day and in-hospital mortality in patients with ischemic stroke. In all three diseases, greater volume was associated with reducing the risk of mortality, and greater transferred rated was associated with increasing the risk of mortality in patients with hemorrhagic stroke. These findings suggest that focus should be on preventing hypertension in stroke and preventing diabetes in AMI. Health-care providers should make efforts to provide consistent care like that provided on weekdays. Especially health policy makers and health-care providers should seek ways to obtain personal resources that can provide highly technical interventions such as percutaneous coronary intervention (PCI). At the same time, ways that can reflect the real hospital context have been developed to improve the quality of hospital care.

서론: 심뇌혈관질환은 전체사망의 사분의 일을 자치하는 질환으로서, 향후 한국의 고령화를 감안할 때, 질병부담은 더욱 커질 것으로 예상된다. 뇌졸중과 급성심근경색증으로 인한 사망을 줄이고자, 정부와 의료기관의 끊임없는 노력을 해왔음에도 불구하고, 여전히 병원 내 사망률이 높다. 연구목적: Algebra Effectiveness Model를 적용하여 뇌졸중과 심근경색증 환자에서 환자요인,...