Key result
Gender, ethnicity, left ventricular systolic diameter, cardiac risk, and lung function parameters independently predicted quality of life in heart failure patients, explaining 60% of its variance.
Population
101 Brazilian heart failure outpatients
Design
Cross-sectional
Authors
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These predictors should not yet change HF care; hypothesis-generating for targeted QoL interventions.
Cross-Sectional (n=101)
Effect estimate: r2=0.60
Clinical, echocardiographic, and spirometric variables, along with demographics, independently predict quality of life in heart failure patients.
Santos et al. (2009) conducted a cross-sectional in Heart Failure (n=101). Clinical and physiological variables was evaluated on Quality-of-Life (QOL) using the Minnesota Living with Heart Failure Questionnaire (r2=0.60). Gender, ethnicity, left ventricular systolic diameter, cardiac risk, and lung function parameters independently predicted quality of life in heart failure patients, explaining 60% of its variance.
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