Predicting ICD Therapy in Heart Disease Patients
Author Information
Author(s): Marco Budeus, Nico Reinsch, Heinrich Wieneke, Stefan Sack, Raimund Erbel
Primary Institution: West-German Heart Centre, University of Duisburg-Essen, Germany
Hypothesis
Can electrophysiological studies (EPS) predict appropriate ICD therapy in MADIT II-like patients?
Conclusion
The study found that only patients with inducibility in EPS benefited from the prediction of appropriate ICD therapy.
Supporting Evidence
- Patients with inducibility in EPS had a 15-fold risk of appropriate ICD therapy.
- A BNP value of 265 pg/ml predicted appropriate ICD therapy with a 3.5-fold risk.
- The incidence of appropriate ICD therapies was similar across all groups.
Takeaway
Doctors looked at heart patients to see if a special test could help predict if they would need a lifesaving device. They found it only worked for some patients.
Methodology
Retrospective analysis of 93 patients with ischemic heart disease and ejection fraction ≤30% who had an ICD implanted.
Limitations
The study had a smaller sample size compared to larger trials and was retrospective in nature.
Participant Demographics
Patients with ischemic heart disease and an ejection fraction ≤30%.
Statistical Information
P-Value
P = 0.005 for EPS inducibility; P = 0.017 for BNP value.
Statistical Significance
p<0.05
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