Practical Application of Patient-Reported Health Status Measures for Transcatheter Valve Therapies

BACKGROUND: Health status assessment is essential for documenting the benefit of transcatheter aortic valve replacement (TAVR) or transcatheter mitral valve repair on patients' symptoms, function, and quality of life. Health status can also be a powerful marker for subsequent clinical outcomes, but its prognostic importance around the time of both TAVR and transcatheter mitral valve repair has not been fully defined. METHODS: Among 73 699 patients who underwent transfemoral TAVR or transcatheter mitral valve repair between 2011 and 2018 (mean age, 81.9±7.0 years, 53% men, 92% TAVR), we constructed sequential models examining the association of health status (as assessed with the Kansas City Cardiomyopathy Questionnaire-Overall Summary Score; KCCQ-OS) at baseline, 30 days, change from baseline to 30 days, and combinations of these assessments with death and heart failure (HF) hospitalization from 30 days to 1 year. RESULTS: Although higher baseline KCCQ-OS and 30-day KCCQ-OS scores were each associated with lower risk of death and HF hospitalization (in individual models and in a model including both measures), the 30-day KCCQ-OS was most predictive (death: hazard ratio, 0.89 per 5-point increase 95% CI, 0.89-0.90; HF hospitalization: hazard ratio, 0.91 95% CI, 0.90-0.91). The 30-day KCCQ-OS also was most predictive when included in a separate model with change in KCCQ from baseline to 30 days. Similar findings were noted for the outcomes of death and of HF hospitalization, unadjusted and adjusted for patient factors. All interaction terms between procedure type and KCCQ were not significant, suggesting that health status provided similar prognostic information in both procedures. CONCLUSIONS: The patient's assessment of their health status immediately before and 30 days after TAVR and transcatheter mitral valve repair is associated with subsequent risk of death and HF hospitalization, with the 30-day assessment being most strongly associated with outcomes. Our findings support the routine use of KCCQ data as a prognostic tool.