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Kavita Gajria,1 Lulu K Lee,2 Natalia M Flores,2 Ernesto Aycardi,1 Sanjay K Gandhi1 1Global Health Economics Research, Teva Pharmaceuticals, New York, NY, USA; 2Health Outcomes Practice, Kantar Health, Foster City, CA, USA Background: While studies have demonstrated the economic burden of migraines in terms of quality of life, health care resource use (HRU), and costs, there exists a notable paucity of data comparing such outcomes among migraineurs with nausea and vomiting (N/V) and those without. The current study aimed to address this gap.Methods: This was a retrospective study using data from the 2013 US National Health and Wellness Survey, a cross-sectional, internet-based survey. Respondents self-reported their migraine with or without N/V along with demographics and outcomes including depression (Patient Health Questionnaire total score; PHQ-9), sleep problems (11-item total score of sleep problems), HRU (number of physician visits, emergency room [ER] visits, and hospitalizations) and Work Productivity and Activity Impairment-General Health Scale (WPAI-GH), and associated mean annual costs. Generalized linear models, adjusting for covariates, assessed the burden of N/V on all outcomes.Results: Among all migraineurs (N=7,855), 73.4% were female, mean age was 41.82 years old, and 57.6% reported experiencing N/V. Adjusting for covariates, migraineurs with N/V vs without N/V had higher mean PHQ-9 scores (7.91 vs 7.02, p

Lulu K Lee,1 Nozomi Ebata,2 Patrick Hlavacek,3 Marco DiBonaventura,4 Joseph C Cappelleri,5 Alesia Sadosky3 1Health Outcomes Practice, Kantar Health, Foster City, CA, USA; 2Neuroscience & Pain Medical Affairs, Pfizer Japan Inc., Tokyo, Japan; 3Global Health & Value, Pfizer Inc., 4Health Outcomes Practice, Kantar Health, New York, NY, 5Statistics, Pfizer Inc., Groton, CT, USA Purpose: The aim of this study was to examine the health and economic burden associated with fibromyalgia among adults in Japan.Materials and methods: Data from the 2011–2014 Japan National Health and Wellness Survey (n=115,271), a nationally representative survey of adults, were analyzed. The greedy matching algorithm was used to match the respondents who self-reported a diagnosis of fibromyalgia with those not having fibromyalgia (n=256). Generalized linear models, controlling for covariates (eg, age and sex), examined whether the respondents with fibromyalgia differed from matched controls based on health status (health utilities; Mental and Physical Component Summary scores from Medical Outcomes Study: 12-item Version 2 and 36-item Version 2 Short Form Survey), sleep quality (ie, sleep difficulty symptoms), work productivity (Work Productivity and Activity Impairment Questionnaire – General Health Version 2.0), health care resource use, and estimated annual indirect and direct costs (based on published annual wages and resource use events) in Japanese yen (¥). Results: After adjustment for covariates, respondents with fibromyalgia relative to matched controls scored significantly lower on health utilities (adjusted means =0.547 vs 0.732), Mental Component Summary score (33.15 vs 45.88), and Physical Component Summary score (39.22 vs 50.81), all with P