The LACE Index: A Predictor of Mortality and Readmission in Patients With Acute Myocardial Infarction

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dc.contributor.authorLabrosciano, C.
dc.contributor.authorTavella, R.
dc.contributor.authorAir, T.
dc.contributor.authorZeitz, C.J.
dc.contributor.authorWorthley, M.
dc.contributor.authorBeltrame, J.F.
dc.date.issued2021
dc.description.abstractIntroduction: 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.
dc.description.statementofresponsibilityClementine Labrosciano, Rosanna Tavella, Tracy Air, Christopher J. Zeitz, Matthew Worthley, John F. Beltrame
dc.identifier.citationJournal for Healthcare Quality, 2021; 43(5):292-303
dc.identifier.doi10.1097/jhq.0000000000000296
dc.identifier.issn1062-2551
dc.identifier.issn1945-1474
dc.identifier.orcidLabrosciano, C. [0000-0001-5995-4616]
dc.identifier.orcidTavella, R. [0000-0002-4869-465X]
dc.identifier.orcidZeitz, C.J. [0000-0001-8045-6873]
dc.identifier.orcidBeltrame, J.F. [0000-0002-4294-6510]
dc.identifier.urihttps://hdl.handle.net/2440/146199
dc.language.isoen
dc.publisherOvid Technologies (Wolters Kluwer Health)
dc.rights© 2021 National Association for Healthcare Quality
dc.source.urihttps://doi.org/10.1097/jhq.0000000000000296
dc.subjectcardiovascular; acute myocardial infarction; angiography; LACE index; predictive model
dc.subject.meshHumans
dc.subject.meshMyocardial Infarction
dc.subject.meshLength of Stay
dc.subject.meshPatient Discharge
dc.subject.meshPatient Readmission
dc.subject.meshRisk Factors
dc.subject.meshRetrospective Studies
dc.subject.meshEmergency Service, Hospital
dc.subject.meshAustralia
dc.titleThe LACE Index: A Predictor of Mortality and Readmission in Patients With Acute Myocardial Infarction
dc.typeJournal article
pubs.publication-statusPublished

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