Key result
A 10-variable model based on age and symptom presentation accurately predicted INOCA in women with suspected ischemia (AUC 0.72; 95% CI 0.68-0.75).
Why the study?
Identifying ischemic heart disease in women by symptoms is challenging, and over 50% with suspected ischemia have no obstructive coronary disease (INOCA). This study aimed to identify symptoms with predictive capacity for INOCA in women with clinical evidence of coronary ischemia.
Can a symptom-based prediction model accurately identify INOCA in women with suspected ischemia?
Cohort (n=916)
Can a symptom-based prediction model accurately identify INOCA in women with suspected ischemia?
Effect estimate: AUC 0.72 (95% CI 0.68-0.75)
A 10-variable symptom-based model can predict INOCA in women with suspected ischemia with moderate accuracy (AUC 0.72), though it requires further validation.
Symptom profiles may aid INOCA identification in women; hypothesis-generating and requires prospective validation before clinical adoption.
Identifying ischemic heart disease (IHD) in women based on symptoms is challenging. Women are more likely to endorse non-cardiac symptoms. More than 50% of women with suspected ischemia have no obstructive coronary disease (and thus, INOCA) and impaired outcomes during follow-up. We aimed to identify symptoms having predictive capacity for INOCA in women with clinical evidence of coronary ischemia. We included 916 women from the original WISE cohort (NCT 00000554) who had coronary angiography performed for suspected ischemia and completed a 65-item WISE symptom questionnaire. Sixty-two percent (n = 567) had suspected INOCA. Logistic regression models using a best subsets approach were examined to identify the best predictive model for INOCA based on Score χ2 and AICc. A 10-variable, best-fit model accurately predicted INOCA (AUC 0.72, 95% CI 0.68, 0.75). The model indicated that age ≤ 55 years, left side chest pain, chest discomfort, neck pain, and palpitations had independent, positive relationship (OR > 1) to INOCA (p < 0.001 to 0.008). An inverse relationship (OR < 1) was observed for impending doom, and pain in the jaw, left or bilateral arm, and right hand, interpreted as INOCA associated with the absence of these symptoms (p ≤ 0.001 to 0.023). Our best-fit model accurately predicted INOCA based on age and symptom presentation ~72% of the time. While the heterogeneity of symptom presentation limits the utility of this unvalidated 10-variable model, it has promise for consideration of symptom inclusion in future INOCA prediction risk modeling for women with evidence of symptomatic ischemia.
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Taha et al. (2023) conducted a cohort in Suspected ischemia and no obstructive coronary artery disease (INOCA) (n=916). Symptom presentation and age was evaluated on Prediction of INOCA (AUC 0.72, 95% CI 0.68-0.75). A 10-variable model based on age and symptom presentation accurately predicted INOCA in women with suspected ischemia (AUC 0.72; 95% CI 0.68-0.75).
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