Using the McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey to Predict the Occurrence of Short-Term Coronary Heart Disease Events in Women

Womens Health Issues. 2017 Nov-Dec;27(6):660-665. doi: 10.1016/j.whi.2017.07.002. Epub 2017 Aug 19.

Abstract

Background: Few instruments capture symptoms that predict cardiac events in the short-term. This study examines the ability of the McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey to predict acute cardiac events within 3 months of administration and to identify the prodromal symptoms most associated with short-term risk in women without known coronary heart disease.

Methods: The McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey was administered to 1,097 women referred to a cardiologist for initial coronary heart disease evaluation. Logistic regression models were used to examine prodromal symptoms individually and in combination to identify the subset of symptoms most predictive of an event within 3 months.

Results: Fifty-one women had an early cardiac event. In bivariate analyses, 4 of 30 prodromal symptoms were significantly associated with event occurrence within 90 days. In adjusted analyses, women reporting arm pain or discomfort and unusual fatigue were more likely (OR, 4.67; 95% CI, 2.08-10.48) to have a cardiac event than women reporting neither.

Conclusions: The McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey may assist in predicting short-term coronary heart disease events in women without known coronary heart disease.

MeSH terms

  • Aged
  • Arkansas / epidemiology
  • Black People* / statistics & numerical data
  • Black or African American
  • Coronary Disease / complications
  • Coronary Disease / diagnosis*
  • Coronary Disease / ethnology
  • Fatigue / etiology
  • Female
  • Humans
  • Kentucky / epidemiology
  • Logistic Models
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Myocardial Infarction / complications
  • Myocardial Infarction / diagnosis*
  • Myocardial Infarction / ethnology
  • Predictive Value of Tests
  • Prodromal Symptoms*
  • Reproducibility of Results
  • Risk Assessment / methods*
  • Surveys and Questionnaires*
  • Time Factors
  • White People* / statistics & numerical data