Optimizing emergency call assessments for acute coronary syndrome: insights from a retrospective analysis in Tyrol, Austria
摘要
Acute coronary syndrome (ACS) is a leading cause of mortality worldwide, typically presenting with chest pain, pressure, or discomfort. Prompt recognition is crucial and medical dispatch systems must identify potential ACS cases based on caller-reported symptoms. This study examined the association between reported symptoms and confirmed ACS to improve prehospital triage.
MethodsThis retrospective study examined emergency calls for suspected ACS among adults transported to the University Hospital Innsbruck between February and August 2021. Reported symptoms were correlated with confirmed diagnoses. Positive predictive values (PPVs) were calculated and a classification tree was developed.
ResultsOf 346 suspected ACS calls, 21% were confirmed. Radiating pain to the arm, neck or jaw showed higher PPVs, especially when combined with diffuse chest pain and age 50–89 years. Point-focused or abdominal radiation was associated with non-ACS. Dispatch protocol adherence was high, with appropriate prioritization overall.
ConclusionThe dispatch algorithm showed moderate predictive accuracy. Symptom radiation and pain description were key predictors. Lack of sex-specific criteria warrants further improvement.