Unknown

Dataset Information

Translation, validation, predictive analysis of the Italian version of the McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey and symptom cluster characterization in women.


ABSTRACT:

Background

Nurses are the touch point for different aspects of patient care, particularly in identifying early prodromal symptoms of acute myocardial infarction in women. Although there is increasing awareness of women-specific symptoms like fatigue, anxiety, and sleep disturbances, acute myocardial infarction is frequently underdiagnosed or recognized too late in women. Instruments such as the McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey have demonstrated effectiveness in identifying these prodromal symptoms. However, no validated Italian tool exists to assess prodromal symptoms and predict myocardial infarction; developing one would help nurses detect symptoms early and improve outcomes in women.

Aim

The study aims to validate an Italian version of th

SUBMITTER: Giordano V 

PROVIDER: S-EPMC12808831 | biostudies-literature | 2026 Jun

REPOSITORIES: biostudies-literature