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STUDY ON A PREDICTION MODEL OF 30-DAY RE-HOSPITALITY EVENTS IN PATIENTS WITH ACUTE MYOCARDIAL IRRIGATION AT THE CAN THO UNIVERSITY OF MEDICINE AND PHARMACY HOSPITAL
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Abstract
Background: Acute myocardial infarction is one of the leading causes of mortality and disability across the world. In addition to early risk classification, it is required for early coronary intervention techniques, effective disease treatment measures, and disease prognosis. The prognosis of rehospitalization occurrences following myocardial infarction highlights the critical need for prompt and suitable preventive and treatment measures. Objectives: Determine the rate and variables associated with hospital readmission within 30 days of acute myocardial infarction. Materials and methods: patients were diagnosed with acute coronary syndrome at the Department of Interventional Cardiology – Neurology, Can Tho University of Medicine and Pharmacy Hospital. Results: After 30 days of follow-up, the total event rate was 45%, with hospital readmissions at 18.7% and deaths at 21.2%. Equation for predicting hospital readmission: [Rehospitalisation incident] = -1.09*[Age group] + 0.029*[Systolic blood pressure] - 0.102*[Left ventricular ejection fraction] + 1.105*[Diabetes]. The ROC curve analysis model predicts 30-day hospital readmission with an area under the curve of 0.84 (CI 0.73-0.95) and a p-value of less than 0.0001. Conclusion: Determine the value of systolic blood pressure, ejection fraction, and hospital admission time to predict hospital readmission within 30 days following ACS.
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Keywords
Acute coronary syndromes (ACS), hospital readmission event.
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