Creating a Health Utility Value for Birdshot Chorioretinopathy.

PURPOSE: To create a health utility value for birdshot chorioretinopathy (BCR) using Time Trade-Off (TTO) and Standard Gamble (SG) utilities. METHOD: Adult BCR patients completed TTO, SG, EQ-5D-5L, and NEI VFQ-25 questionnaires and underwent a detailed history and clinical examination. RESULTS: A total of 28 BCR patients (9 M, 19 F; mean age 62 years, range 47-83) were included. There were 22 patients with a logMAR vision of 0.3 or better in both eyes. Mean TTO was 0.90 ± SD 0.18 (range 0.33-1.0) and mean SG was 0.94 ± SD 0.14 (range 0.5-1.0). TTO correlated with EQ-5D-5L index value (p = .024) and NEI VFQ-25 composite score (p = .015). CONCLUSIONS: Of 28 patients with BCR, 11 would trade remaining life (mean 5.4 years), and 6 would take a risk of immediate death (mean 28% risk), in return for perfect vision in both eyes for the rest of their life.

Interrelationships between heath utility measurements, disease activity and psychological factors in Behçet's disease.

OBJECTIVES: To measure health utilities Time Trade-Off (TTO) and Standard Gamble (SG) in Behcet's disease (BD), and explore the interrelationships with EQ-5D-5L, disease activity, depression, anxiety and fatigue. METHODS: TTO, SG, EQ-5D-5L, EQ VAS, depression (PHQ-9), anxiety (GAD-7) and fatigue (MAF) questionnaires were administered to 103 adult BD patients. Disease activity was assessed using the Behçet's Disease Activity Index (BDAI). RESULTS: Mean TTO was 0.72 ± SD 0.27, mean SG 0.70 ± SD 0.34, and mean EQ-5D-5L 0.519 ± SD 0.315. Moderate to severe depression was identified in 55.2%, moderate to severe anxiety in 35.1% and moderate to high fatigue in 97.7% patients. TTO correlated with SG (p < 0.01), EQ-5D-5L (p < 0.01) and negatively correlated with depression (p < 0.01), anxiety (p < 0.01) and fatigue (p < 0.01). Multiple linear regression showed SG was the only predictor of TTO (p = 0.002). Cluster analysis revealed one cluster where psychological factors rather than disease activity may have influenced TTO and SG scores. CONCLUSION: TTO and SG show that BD patients would on average forgo 28% of their remaining life or run a 30% risk of death to avoid the condition. Complex interrelationships with depression, anxiety and fatigue appear to play an important role in their decision making.

Multiple dimensions of excessive daytime sleepiness.

BACKGROUND: In this study we investigated subjective measures of sleepiness and related our findings to dimensions of affect, fatigue, emotion, mood and quality of life based on a hypothetical multidimensional model of sleepiness. METHODS: Patients referred to a sleep clinic were assessed regarding their excessive daytime sleepiness (EDS), sleep complaints, routine and symptoms. Age, gender and body mass index (BMI), the Epworth Sleepiness Scale (ESS), the Stanford Sleepiness Scale (SSS), the Samn-Perelli fatigue Scale (SPS), the Global Vigor and Affect Scale (GVS and GAS, respectively), the Hospital Anxiety and Depression Scale (HADS-A and HADS-D, respectively), and the Positive and Negative Affect Schedule (PAS and NAS, respectively) scores were recorded. RESULTS: Fifty patients [25 male, 45.2 (18.7) years] completed the questionnaires. The ESS scores were positively correlated with SSS, SPS, HADS-A, HADS-D and NAS scores and negatively with GVS and GAS scores (P<0.05). The SPS (P<0.001) and HADS-A scores (P=0.002) were independently associated with the ESS scores (R2=0.532, adjusted R2 =0.4794, P<0.001). CONCLUSIONS: A model of sleepiness that assesses dimensions of fatigue and anxiety could explain the symptom of subjective sleepiness better than the isolated use of the ESS.