Predicting Heart Problems in Patients with Suspected Ischemia
Author Information
Author(s): Coelho-Filho Otavio R, Mongeon François-Pierre, Jerosch-Herold Michael, Kwong Raymond Y
Primary Institution: Brigham and Women's, Boston, MA, USA
Hypothesis
Can a predictive rule using clinical and stress CMR data effectively characterize major adverse cardiac events in patients with suspected ischemia?
Conclusion
A prediction rule for major adverse cardiac events was successfully derived and validated using clinical data and the ISCH-SCORE.
Supporting Evidence
- Out of 736 patients, 711 were included in the analysis after excluding 25 due to insufficient image quality.
- 46 patients experienced major adverse cardiac events within the follow-up period.
- The prediction rule was validated in a separate testing set with high accuracy.
Takeaway
Doctors created a way to predict heart problems in patients who might have heart issues by looking at their clinical data and test results.
Methodology
The study involved deriving a prediction rule from clinical and stress CMR data, followed by validation in a separate patient cohort.
Limitations
The study may have limitations related to the generalizability of the prediction rule beyond the studied population.
Participant Demographics
The cohort included 711 patients, with 297 females and a mean age of 56 years.
Statistical Information
P-Value
<0.0001
Confidence Interval
95% CI: 70%-93%
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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