The Edmonton Symptom Assessment System is a valid, reliable, and responsive tool to assess symptom burden in decompensated cirrhosis

Background: While there is a growing need for interventions addressing symptom burden in patients with decompensated cirrhosis (DC), the lack of validated symptom assessment tools is a critical barrier. We investigated the psychometric properties of the revised Edmonton Symptom Assessment System (ESAS-r) in a longitudinal cohort of patients with DC. Methods: Adult outpatients with DC were prospectively recruited from a liver transplant center and completed ESAS-r at baseline and week 12. We examined reliability, floor/ceiling effects, structural validity, and known-groups validity. We examined the convergent and predictive validity of ESAS-r with health-related quality of life using the Short Form Liver Disease Quality of Life (SF-LDQOL) and responsiveness to changes in anxiety and depression using the Hospital Anxiety and Depression Scale and Patient Health Questionnaire-9 from baseline to week 12. Results: From August 2018 to September 2022, 218 patients (9% Child-Pugh A, 59% Child-Pugh B, and 32% Child-Pugh C) were prospectively recruited and completed the ESAS-r, SF-LDQOL, Patient Health Questionnaire-9, and Hospital Anxiety and Depression Scale at baseline and week 12 (n = 135). ESAS-r had strong reliability (Cronbach's alpha 0.86), structural validity (comparative fit index 0.95), known-groups validity (Child-Pugh A: 25.1 vs. B: 37.5 vs. C: 41.4, p = 0.006), and convergent validity (r = -0.67 with SF-LDQOL). Floor effects were 9% and ceiling effects were 0.5%. Changes in ESAS-r scores from baseline to week 12 significantly predicted changes in SF-LDQOL (beta = -0.36, p < 0.001), accounting for 30% of the variation. ESAS-r was strongly responsive to clinically meaningful changes in SF-LDQOL, Patient Health Questionnaire-9, and Hospital Anxiety and Depression Scale. Conclusions: ESAS-r is a reliable, valid, and responsive tool for assessing symptom burden in patients with DC and can predict changes in health-related quality of life. Future directions include its implementation as a key outcome measure in cirrhosis care and clinical trials.