Severity and determinants of psychosocial comorbidities in granulomatosis with polyangiitis and their impact on quality of life.

Depression, anxiety, sleep disturbances, and fatigue are inadequately addressed comorbidities in granulomatosis with polyangiitis (GPA). We determined the prevalence, severity, determinants, and the impact of these comorbidities on quality-of-life (QoL) in GPA. This observational study included adult GPA patients; patients with RA and lupus were included as comparators. Patient Health Questionnaire-9 for depression, Generalized Anxiety Disorder 7-item scale for anxiety, Epworth Sleepiness Scale for sleep disturbances, and Fatigue Severity Scale for fatigue were administered prospectively to estimate prevalence and severity. QoL and disability were estimated using PROMIS-HAQ, HAQ-health and HAQ-pain. Correlations among these parameters were assessed. Stepwise regression analyses were performed to identify determinants of depression, anxiety, excessive sleepiness, and fatigue. One hundred eighty-one patients-62 GPA [mean age 43 (13) years], 57 RA and 62 SLE- were included. The prevalence of depression (47%), excessive sleepiness (21%), and fatigue (39%) in GPA were comparable to RA and lupus; anxiety was less prevalent (29% versus 46% and 53%, p = 0.02). Severity was mostly mild-moderate. Younger age [OR = 0.93 (0.89-0.98)], higher BMI [OR = 1.2 (1.0-1.4)], and greater disease damage [OR = 2.0 (1.3-3.3)] independently predicted presence of depression. Higher BMI [OR = 1.3 (1.1-1.5)] and concomitant FMS [OR = 80.9 (5.1-1289.2)] were independently associated with excessive sleepiness. No association with disease activity, duration, or gender was seen. GPA patients with depression, anxiety, excessive sleepiness, and fatigue had worse PROMIS-HAQ, HAQ-pain, and HAQ-health. In conclusion, depression, anxiety, sleep disturbances, and fatigue are common in GPA. Although their severity is mostly mild-moderate, they impair QoL significantly. Potentially modifiable determinants that can form targets for future interventions have been identified.