Key result
Adding gestational diabetes mellitus and oestrogen status to the updated Diamond and Forrester score significantly improved the prediction of obstructive coronary artery disease on CTCA (NRI p=0.04).
Why the study?
Does the addition of female-specific risk factors (gestational diabetes mellitus and oestrogen status) to standard pre-test probability scores improve the prediction of obstructive coronary artery disease in symptomatic women?
Population
228 consecutively included symptomatic women undergoing evaluation for coronary artery disease and referred…
Comparison
Addition of female-specific risk factors to… vs Standard clinical pre-test probability scores…
Design
Cohort
Authors
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May improve CAD prediction in symptomatic women; hypothesis-generating and requires prospective validation before practice change.
Cohort (n=228)
Does the addition of female-specific risk factors (gestational diabetes mellitus and oestrogen status) to standard pre-test probability scores improve the prediction of obstructive coronary artery disease in symptomatic women?
Effect estimate: AUC 0.67
p-value: p=<0.01
Incorporating female-specific risk factors such as gestational diabetes and estrogen status into standard clinical risk scores significantly improves the prediction of obstructive coronary artery disease in symptomatic women.
Rademaker et al. (2013) conducted a cohort in Coronary artery disease (n=228). Addition of female-specific risk factors (GDM and oestrogen status) to pre-test probability scores vs. Standard pre-test probability scores was evaluated on Prediction of obstructive CAD (≥50% luminal stenosis on CTCA) (AUC 0.67, p=<0.01). Adding gestational diabetes mellitus and oestrogen status to the updated Diamond and Forrester score significantly improved the prediction of obstructive coronary artery disease on CTCA (NRI p=0.04).
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