Literature DB >> 24613107

Validation of the Seattle Heart Failure Model (SHFM) in heart failure population.

Sajjad Hussain1, Azhar Mahmood Kayani2, Rubab Munir3, Irum Abid4.   

Abstract

OBJECTIVE: To determine the effectiveness of Seattle Heart Failure Model (SHFM) in a Pakistani systolic heart failure cohort in predicting mortality in this population. STUDY
DESIGN: Cohort study. PLACE AND DURATION OF STUDY: The Armed Forces Institute of Cardiology - National Institute of Heart Diseases, Rawalpindi, from March 2011 to March 2012.
METHODOLOGY: One hundred and eighteen patients with heart failure (HF) from the registry were followed for one year. Their 1-year mortality was calculated using the SHFM software on their enrollment into the registry. After 1-year predicted 1-year mortality was compared with the actual 1-year mortality of these patients.
RESULTS: The mean age was 41.6 ± 14.9 years (16 - 78 years). There were 73.7% males and 26.3% females. One hundred and fifteen patients were in NYHA class III or IV. Mean ejection fraction in these patients was 23 ± 9.3%. Mean brain natriuretic peptide levels were 1230 ± 1214 pg/mL. Sensitivity of the model was 89.3% with 71.1% specificity, 49% positive predictive value and 95.5% negative predictive value. The accuracy of the model was 75.4%. In ROC analysis, AUC for the SHFM was 0.802 (p < 0.001).
CONCLUSION: SHFM was found to be reliable in predicting one-year mortality among patients with heart failure in the Pakistani patients.

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Year:  2014        PMID: 24613107     DOI: 03.2014/JCPSP.153156

Source DB:  PubMed          Journal:  J Coll Physicians Surg Pak        ISSN: 1022-386X            Impact factor:   0.711


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2.  Using EHRs and Machine Learning for Heart Failure Survival Analysis.

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  2 in total

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