Possible Missed Acute Coronary Syndrome Rate in North Texas: Is There Room to Improve?

Crit Pathw Cardiol. 2019 Sep;18(3):121-124. doi: 10.1097/HPC.0000000000000188.

Abstract

Background: Acute coronary syndrome (ACS) is a common diagnosis in the emergency department (ED). Missing this diagnosis may lead to increased morbidity or mortality. With improved cardiac biomarkers tests, it is unknown if that has decreased the prevalence of ACS diagnoses in ED patients who were recently evaluated in the ED.

Methods: This is a retrospective review of ED patients who were diagnosed with ACS and seen in the ED 7 and 30 days before that visit in North Texas between 2009 and 2015. The demographics and temporal trends of missed ACS rates are described. Logistic regression was used to evaluate if any factors (ie, age, ethnicity, sex, insurance status) were significant.

Results: Between December 26, 2008 and June 29, 2015, there were 24,914 diagnoses of ACS in the ED. The overall prevalence of patients diagnosed with ACS 7 days after their ED visit was 3.2% and 8.8% at 30 days. For patients diagnosed with ACS 7 days and 30 days after an ED visit, the most common initial ED diagnoses were nonspecific chest pain (57.7%), atherosclerotic disease (19.5%), and heart failure (12.8%). Between 2009 and 2015, there was no overall change in the rate of ACS diagnoses in patients seen 7 or 30 days before an ED visit.

Conclusions: The prevalence of missed ACS in the North Texas region at 7 and 30 days after the initial ED visit is low and has not changed over the past several years.

MeSH terms

  • Acute Coronary Syndrome* / diagnosis
  • Acute Coronary Syndrome* / epidemiology
  • Biomarkers / analysis
  • Coronary Angiography / methods
  • Critical Pathways / trends
  • Diagnostic Errors* / prevention & control
  • Diagnostic Errors* / statistics & numerical data
  • Diagnostic Errors* / trends
  • Electrocardiography / methods
  • Emergency Medical Services* / methods
  • Emergency Medical Services* / trends
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Patient Readmission / statistics & numerical data
  • Prevalence
  • Risk Assessment / methods
  • Texas / epidemiology

Substances

  • Biomarkers