Abstract 2286: Predicting the Health-Related Quality of Life in Patients with Chronic Heart Failure
Background Almost 5 million prevalence and 550,000 incident cases were reported in the United States suffer from heart failure (HF). However, health-related quality of life (HRQOL) has emerged as an important end points in treating and managing patients with HF, but research was limited in Taiwan. Thus, the specific purposes of this study were:
to assess the psychometric properties of Chinese version of Minnesota Living with Heart Failure Questionnaire (MLHFQ);
to develop a model for predicting HRQOL in HF patients.
METHODS and RESULTS A 225 convenience sample of NYHA class II to III HF patients was recruited from cardiovascular outpatient departments in north Taiwan. The mean age of the patients was 67 ± 12 years old; 56% were men; mean body mass index (BMI) was 27. The Charlson Comorbidity Index (CCI) was 2.6. The mean left ventricular ejection fraction (LVEF) was 37 ± 10 %. Disease severity was evaluated by CCI. HRQOL was measured by Chinese version of MLHFQ. In this study, Chinese version of MLHFQ showed high reliability (Cronbach’s α was .94) and acceptable content validity (CVI 3.94/4), construct validity and criterion validity. Construct validity was established by exploratory factor analysis that explained 71.8% of total variance. We hypothesized that age, disease severity, gender, BMI and LVEF could contribute to a model that might predict HRQOL. An integrated heart failure HRQOL model was tested using hierarchical multiple regression and path analysis. The model was found to be significant (F = 111.17, p < 0.001), accounting for up to 85% (R2adj 73%) of the variance. Age, BMI and LVEF influence to HRQOL both directly and indirectly. Gender was not related to HRQOL either directly or indirectly. Statistical power in this study was 0.99.
CONCLUSIONS Chinese version of MLHFQ had high reliability and acceptable content validity, construct validity, and criterion validity. Eighty-five percent (R2adj 73%) of the variance in HRQOL is accounted for by age, disease severity, BMI, and LVEF. LVEF was the strongest predictor of HRQOL in patients with chronic heart failure.