Integrating Quality of Life and Survival Outcomes in Cardiovascular Clinical Trials

Circ Cardiovasc Qual Outcomes. 2019 Jun;12(6):e005420. doi: 10.1161/CIRCOUTCOMES.118.005420. Epub 2019 Jun 13.

Abstract

Background Survival and health status (eg, symptoms and quality of life) are key outcomes in clinical trials of heart failure treatment. However, health status can only be recorded on survivors, potentially biasing treatment effect estimates when there is differential survival across treatment groups. Joint modeling of survival and health status can address this bias. Methods and Results We analyzed patient-level data from the PARTNER 1B trial (Placement of Aortic Transcatheter Valves) of transcatheter aortic valve replacement versus standard care. Health status was quantified with the Kansas City Cardiomyopathy Questionnaire (KCCQ) at randomization, 1, 6, and 12 months. We compared hazard ratios for survival and mean differences in KCCQ scores at 12 months using several models: the original growth curve model for KCCQ scores (ignoring death), separate Bayesian models for survival and KCCQ scores, and a Bayesian joint longitudinal-survival model fit to either 12 or 30 months of survival follow-up. The benefit of transcatheter aortic valve replacement on 12-month KCCQ scores was greatest in the joint-model fit to all survival data (mean difference, 33.7 points; 95% credible intervals [CrI], 24.2-42.4), followed by the joint-model fit to 12 months of survival follow-up (32.3 points; 95% CrI, 22.5-41.5), a Bayesian model without integrating death (30.4 points; 95% CrI, 21.4-39.3), and the original growth curve model (26.0 points; 95% CI, 18.7-33.3). At 12 months, the survival benefit of transcatheter aortic valve replacement was also greater in the joint model (hazard ratio, 0.50; 95% CrI, 0.32-0.73) than in the nonjoint Bayesian model (0.54; 95% CrI, 0.37-0.75) or the original Kaplan-Meier estimate (0.55; 95% CI, 0.40-0.74). Conclusions In patients with severe symptomatic aortic stenosis and prohibitive surgical risk, the estimated benefits of transcatheter aortic valve replacement on survival and health status compared with standard care were greater in joint Bayesian models than other approaches.

Keywords: health status; heart failure; quality of life; risk; transcatheter aortic valve replacement.

Publication types

  • Comparative Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Aortic Valve Stenosis / diagnosis
  • Aortic Valve Stenosis / mortality
  • Aortic Valve Stenosis / surgery*
  • Bayes Theorem
  • Endpoint Determination
  • Female
  • Health Status*
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • Patient Reported Outcome Measures*
  • Quality of Life*
  • Randomized Controlled Trials as Topic*
  • Recovery of Function
  • Research Design*
  • Severity of Illness Index
  • Time Factors
  • Transcatheter Aortic Valve Replacement* / adverse effects
  • Transcatheter Aortic Valve Replacement* / mortality
  • Treatment Outcome