Key result
A nomogram-illustrated model based on pretest and exercise variables showed better discrimination for mortality than the Duke treadmill score (concordance index 0.83 vs. 0.73, P<0.001).
Why the study?
Does a novel nomogram-illustrated multivariable model improve mortality prediction compared to the Duke treadmill score in adults with suspected coronary artery disease and normal electrocardiograms?
Population
39,089 adults with suspected coronary artery disease and normal electrocardiograms referred for exercise…
Comparison
A novel nomogram-illustrated multivariable… vs Duke treadmill score.
Design
Cohort
Follow-up
median 6.2 years (derivation set)
Authors
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May refine mortality stratification in suspected CAD; hypothesis-generating pending prospective validation.
Cohort (n=39,089)
Yes
Does a novel nomogram-illustrated multivariable model improve mortality prediction compared to the Duke treadmill score in adults with suspected coronary artery disease and normal electrocardiograms?
Effect estimate: Concordance index 0.83 vs 0.73
p-value: p=<0.001
A novel nomogram incorporating clinical and exercise variables provides superior long-term mortality risk stratification compared to the standard Duke treadmill score in patients with suspected CAD and normal ECGs.
Lauer et al. (2007) conducted a cohort in Suspected coronary artery disease with normal electrocardiograms (n=39,089). Nomogram-illustrated multivariable mortality prediction rule vs. Duke treadmill score was evaluated on All-cause mortality (Concordance index 0.83 vs 0.73, p=<0.001). A nomogram-illustrated model based on pretest and exercise variables showed better discrimination for mortality than the Duke treadmill score (concordance index 0.83 vs. 0.73, P<0.001).
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