Labrosciano, C.Tavella, R.Air, T.Zeitz, C.J.Worthley, M.Beltrame, J.F.2025-07-212025-07-212021Journal for Healthcare Quality, 2021; 43(5):292-3031062-25511945-1474https://hdl.handle.net/2440/146199Introduction: Improving patient outcomes after acute myocardial infarction (AMI) may be facilitated by identifying patients at a high risk of adverse events before hospital discharge. We aimed to determine the accuracy of the LACE (Length of stay, Acuity, Comorbidities, Emergency presentations within prior 6 months) index score (a prediction tool) for predicting 30-day all-cause mortality and readmission rates (independently and combined) in South Australian AMI patients who had an angiogram. Methods: All consecutive AMI patients enrolled in the Coronary Angiogram Database of South Australia Registry at two major tertiary hospitals and discharged alive between July 2016 to June 2017. A LACE score was calculated for each patient, and receiver operating characteristic curve analysis was performed. Results: Analysis of registry patients found a 30-day unplanned readmission rate of 11.8% and mortality rate of 0.7%. Moreover, the LACE index was a moderate predictor (C-statistic 5 0.62) of readmissions in this cohort, and a score ≥10 indicated moderate discriminatory capacity to predict 30-day readmissions. Conclusion: The LACE index shows moderate discriminatory capacity to predict 30-day readmissions and mortality. A cut-off score of nine to optimize sensitivity may assist clinicians in identifying patients at a high risk of adverse outcomes.en© 2021 National Association for Healthcare Qualitycardiovascular; acute myocardial infarction; angiography; LACE index; predictive modelHumansMyocardial InfarctionLength of StayPatient DischargePatient ReadmissionRisk FactorsRetrospective StudiesEmergency Service, HospitalAustraliaJournal article10.1097/jhq.0000000000000296588489Labrosciano, C. [0000-0001-5995-4616]Tavella, R. [0000-0002-4869-465X]Zeitz, C.J. [0000-0001-8045-6873]Beltrame, J.F. [0000-0002-4294-6510]