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Application of the Seattle Heart Failure Model in Patients on Cardiac Resynchronization Therapy.
- Source :
-
Pacing & Clinical Electrophysiology . Jan2012, Vol. 35 Issue 1, p88-94. 7p. - Publication Year :
- 2012
-
Abstract
- Background: The Seattle Heart Failure Model (SHFM) is a multimarker risk assessment tool able to predict outcome in heart failure (HF) patients. Aim: To assess whether the SHFM can be used to risk-stratify HF patients who underwent cardiac resynchronization therapy with (CRT-D) or without (CRT) an implantable defibrillator. Methods and Results: The SHFM was applied to 342 New York Heart Association class III-IV patients who received a CRT (23%) or CRT-D (77%) device. Discrimination and calibration of SHFM were evaluated through c-statistics and Hosmer-Lemeshow (H-L) goodness-of-fit test. Primary endpoint was a composite of death from any cause/cardiac transplantation. During a median follow-up of 24 months (25th-75th percentile [pct]: 12-37 months), 78 of 342 (22.8%) patients died; seven patients underwent urgent transplantation. Median SHFM score for patients with endpoint was 5.8 years (25th-75th pct: 4.25-8.7 years) versus 8.9 years (25th-75th pct: 6.6-11.8 years) for those without (P < 0.001). Discrimination of SHFM was adequate for the endpoint (c-statistic always ranged around 0.7). The SHFM was a good fit of death from any cause/cardiac transplantation, without significant differences between observed and SHFM-predicted survival. Conclusion: The SHFM successfully stratifies HF patients on CRT/CRT-D and can be reliably applied to help clinicians in predicting survival in this clinical setting. (PACE 2012; 35:88-94) [ABSTRACT FROM AUTHOR]
- Subjects :
- *MATHEMATICAL models
*CARDIAC pacing
*RISK assessment
*FISHER exact test
*GOODNESS-of-fit tests
*HEART failure
*LIFE expectancy
*MEDICAL cooperation
*RESEARCH
*SURVIVAL analysis (Biometry)
*U-statistics
*THEORY
*RETROSPECTIVE studies
*RECEIVER operating characteristic curves
*DATA analysis software
*DESCRIPTIVE statistics
*KAPLAN-Meier estimator
*PROGNOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 01478389
- Volume :
- 35
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Pacing & Clinical Electrophysiology
- Publication Type :
- Academic Journal
- Accession number :
- 70285673
- Full Text :
- https://doi.org/10.1111/j.1540-8159.2011.03258.x