A comparison of multiple patient reported outcome measures in identifying major depressive disorder in people with multiple sclerosis.

BACKGROUND: Depression is one of the most prominent and debilitating symptoms in individuals with multiple sclerosis (MS), yet there is currently no consensus on the best instruments for depression screening in MS. More head to head comparisons of available screening instruments are needed to advise MS researchers and clinicians. METHODS: A cross-sectional comparison of the effectiveness of screening for MDD using multiple patient reported outcome (PRO) screeners against a modified SCID telephone interview was completed in 164 individuals with MS. Stratum goals were set for depression levels to ensure participation by people with borderline and higher levels of depression. Criterion standard was a modified SCID MDD module. PRO measures included the PHQ-9, BDI-FS, PROMIS depression, Neuro-QOL depression, M-PHQ-2, PHQ-2, and CESD. RESULTS: 48 (29%) individuals met the modified SCID criteria for MDD. The sensitivity of the PRO measures ranged from 60% to 100% while specificity ranged from 46% to 86%. The ROC area for the PRO measures ranged from 0.79 to 0.83. Revised (higher) cutoff scores were suggested by the ROC analyses for most self-reported screeners. LIMITATIONS: Enrollment was stopped early because of difficulties with recruitment. Several SCID recording could not be reviewed and diagnosis confirmed. CONCLUSIONS: CESD-10 and PHQ9 had the best diagnostic performance using optimal cutoffs, but no one PRO measure stood out as significantly better than any other. Even when revised cutoff scores were used, none of the self-reported screeners identified people with MDD with adequate accuracy. More accurate self-reported screeners would facilitate diagnosing of MDD for both research and clinical purposes.

Intolerance of Uncertainty: Shaping an Agenda for Research on Coping with Multiple Sclerosis.

Multiple sclerosis (MS) is a chronic and progressive neurologic condition that, by its nature, carries uncertainty as a hallmark characteristic. Although all patients face uncertainty, there is variability in how individuals cope with its presence. In other populations, the concept of "intolerance of uncertainty" has been conceptualized to explain this variability such that individuals who have difficulty tolerating the possibility of future occurrences may engage in thoughts or behaviors by which they attempt to exert control over that possibility or lessen the uncertainty but may, as a result, experience worse outcomes, particularly in terms of psychological well-being. This topical review introduces MS-focused researchers, clinicians, and patients to intolerance of uncertainty, integrates the concept with what is already understood about coping with MS, and suggests future steps for conceptual, assessment, and treatment-focused research that may benefit from integrating intolerance of uncertainty as a central feature.

Predictors of anxiety in multiple sclerosis.

PURPOSE/OBJECTIVES: The aims of this study were to (1) identify the predictors of symptoms of anxiety, and (2) evaluate the differential association of somatic and nonsomatic symptoms of depression on anxiety over time in persons with multiple sclerosis (MS). METHOD/DESIGN: Participants were 513 persons with MS who previously enrolled in a study exploring the experience of living with MS and completed a 4-month follow-up survey. The main outcome measure used was the Hospital Anxiety and Depression Scale-Anxiety. Demographic, disease-associated variables (time since onset of MS, Expanded Disability Status Scale Mobility, pain, and fatigue), and Time 1 psychological variables were entered into a hierarchical regression model to examine predictors at baseline for anxiety symptoms at Time 2. RESULTS: A large portion of the sample was White (92%), female (82%), and had relapsing-remitting MS (57%). After adjusting for demographic and disease related variables, anxiety (ß <.001), employment (ß = .07), and nonsomatic depressive symptoms (ß = .10) at baseline significantly predicted anxiety at Time 2, ps < .05. Interactions revealed significant effects for time since onset of MS and somatic symptoms as well as time since onset and nonsomatic symptoms, ps < .05. Nonsomatic symptoms were more linked to anxiety early in the disease and somatic symptoms were more prominently linked to anxiety later in the disease. CONCLUSIONS: Findings suggest that nonsomatic symptoms of depression and employment predict anxiety in MS. The relationship between different aspects of depression and anxiety may change over the course of the disease.