Evaluating resilience as a predictor of outcomes in lung transplant candidates

Clin Transplant. 2020 Oct;34(10):e14056. doi: 10.1111/ctr.14056. Epub 2020 Sep 23.

Abstract

Background: Resilience represents the capacity to adapt to adversity. Resilience can improve following behavioral interventions. We examined lung transplant candidates' resilience as a novel predictor using the Connor-Davidson Resilience Scale (RISC-10).

Methods: Waitlisted candidates at six centers were mailed questionnaires from 9/16/2015 to 10/1/2019. Follow-up surveys were collected annually and post-transplant. Outcomes were recorded through February 17, 2020. Primary outcome was pre-transplant death/delisting. Analyses included t test or chi-square for group comparisons, Pearson's correlation coefficients for strength of relationships, and Cox proportional-hazard models to evaluate associations with outcomes, adjusting for age, sex, and mood.

Results: Participation was 55.3% (N = 199). Baseline RISC-10 averaged 32.0 ± 5.6 and did not differ by demographics, primary transplant diagnosis, or disease severity markers. RISC-10 did not correlate to the commonly utilized Psychosocial Assessment of Candidates for Transplant [PACT] or Stanford Integrated Psychosocial Assessment for Transplantation [SIPAT] tools. Scores < 26.3 (representing > 1 standard deviation below population average) occurred in 16% and were associated with pre-transplant death or delisting, adjusted Hazard Ratio of 2.60 (95% Confidence Interval 1.23-5.77; P = .01).

Conclusion: One in six lung candidates had low resilience, predicting increased pre-transplant death/delisting. RISC-10 did not correlate with PACT or SIPAT; resilience may represent a novel risk factor.

Keywords: lung transplantation; mental health; psychological resilience.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Humans
  • Lung Transplantation*
  • Proportional Hazards Models
  • Risk Factors
  • Surveys and Questionnaires