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Published on: June 10, 2025
Baseline Patient-Reported Health Status Predicts Hospitalization Duration and Cost in Chronic Heart Failure
Alexandra Minca1, Claudiu Popescu2, Dragos Mincă3,4
1Public Health, University of Medicine and Pharmacy "Carol Davila", Bucharest, ROU.
Patient-reported outcomes, specifically the Kansas City Cardiomyopathy Questionnaire (KCCQ) Overall Summary Score (KCCQ-OSS), independently predict hospitalization costs and duration in chronic heart failure (CHF) patients.
Area of Science:
- Cardiology
- Health Economics
- Patient-Reported Outcomes Research
Background:
- Chronic heart failure (CHF) poses a significant burden on healthcare systems, necessitating efficient resource allocation.
- Understanding predictors of hospitalization costs and duration is crucial for effective patient management.
Purpose of the Study:
- To investigate the predictive value of patient-reported outcomes (PROs) for hospitalization costs and duration in CHF patients.
- To determine if the Kansas City Cardiomyopathy Questionnaire Overall Summary Score (KCCQ-OSS) is an independent predictor of these outcomes.
Main Methods:
- An observational, cross-sectional study involving 171 adult CHF patients admitted to a university hospital.
- Data collection included the validated Romanian KCCQ, clinical interviews, physical examinations, and echocardiography.
- Generalized linear models were used to analyze the association between KCCQ-OSS and hospitalization costs/duration, adjusting for confounders.
Main Results:
- A 10-point decrease in KCCQ-OSS was associated with a 9.5% increase in hospitalization duration.
- A 10-point increase in KCCQ-OSS was associated with a 5.1% increase in hospitalization cost, potentially due to elective procedures in healthier patients.
- The KCCQ-OSS demonstrated independent predictive power for both cost and duration.
Conclusions:
- The KCCQ-OSS is a valuable, independent predictor of hospitalization costs and duration in CHF patients.
- Integrating KCCQ assessments into routine care can help identify high-risk, high-cost patients for improved resource allocation and value-based management.
- Further research in larger, multi-center settings is warranted to validate these findings.
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