Why the study?
Does the inclusion of modifiable cardiovascular risk factors in pretest probability scores (DCS and CAD2) improve the prediction of obstructive coronary artery disease compared to CAD1 in patients referred for invasive coronary angiography?
Population
2,234 patients referred to invasive coronary angiography for suspected stable coronary artery disease, mean…
Comparison
Pretest probability calculation using Duke… vs Pretest probability calculation using CAD…
Design
Cohort
Authors
Loading...
Modest AUC gains with modifiable factors; extends CAD1 yet leaves open need for outcome validation before adoption.
Does the inclusion of modifiable cardiovascular risk factors in pretest probability scores (DCS and CAD2) improve the prediction of obstructive coronary artery disease compared to CAD1 in patients referred for invasive coronary angiography?
Incorporating modifiable cardiovascular risk factors into pretest probability scores (DCS and CAD2) significantly improves the prediction of obstructive coronary artery disease compared to the guideline-recommended CAD1 score.
Almeida et al. (2016) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: