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Dataset Information

Coronary artery disease prediction in women and men using chest pain characteristics and risk factors: an observational study in outpatient clinics.


ABSTRACT:

Objectives

To assess the diagnostic value of non-acute chest pain characteristics for coronary artery disease in women and men referred to outpatient cardiology clinics.

Design and setting

This is an observational study performed at outpatient cardiology centres of the Netherlands.

Participants

The study population consisted of 1028 patients with non-acute chest pain (505 women).

Analysis and results

Twenty-four women (5%) and 75 men (15%) were diagnosed with coronary artery disease by invasive coronary angiography or CT angiography during regular care follow-up. Elastic net regression was performed to assess which chest pain characteristics and risk factors were of diagnostic value. The overall model selected age, provocation by temperature or stress, relief a

SUBMITTER: Groepenhoff F 

PROVIDER: S-EPMC7204862 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature