Additional file 3: of Risk factors for oral methotrexate failure in patients with inflammatory polyarthritis: results from a UK prospective cohort study

Table S2. Adverse events leading to MTX failure. (DOCX 13 kb

Additional file 1: of Risk factors for oral methotrexate failure in patients with inflammatory polyarthritis: results from a UK prospective cohort study

Figure S1. Flow chart showing recruitment of study participants. (BMP 478 kb

Additional file 4: of Risk factors for oral methotrexate failure in patients with inflammatory polyarthritis: results from a UK prospective cohort study

Table S3. Baseline clinico-demographic variables according to reason for MTX failure (DOCX 15 kb

Additional file 2: of Risk factors for oral methotrexate failure in patients with inflammatory polyarthritis: results from a UK prospective cohort study

Table S1. Baseline and follow-up characteristics of the cohort. (DOCX 14 kb

Additional file 5: of Risk factors for oral methotrexate failure in patients with inflammatory polyarthritis: results from a UK prospective cohort study

Table S4. Adverse events leading to MTX failure for the subgroup that fulfils 2010 ACR/EULAR RA classification criteria. (DOCX 16 kb

Additional file 1: of Prediction of primary non-response to methotrexate therapy using demographic, clinical and psychosocial variables: results from the UK Rheumatoid Arthritis Medication Study (RAMS)

Table S1. Univariable and multivariable analysis of predictors of MTX non-response for those with active disease at baseline. Table S2. Univariable and multivariable analysis of predictors of failure to achieve low disease activity at 6 months. Figure S1. Calibration plot for multivariable prediction model for non-response to MTX for those not in remission at baseline. Figure S2. Calibration plot for multivariable prediction model for non-response to MTX for those with active disease at baseline. Figure S3. Calibration plot for multivariable prediction model for failure to achieve low disease activity. (DOCX 60 kb

Selected weight management interventions for military populations in the United States: a narrative report.

Overweight and obesity continues to be a significant public health burden in the US and particularly among military personnel. Although the US Department of Defense mandates standardized physical activity requirements for military members, incidence and prevalence of overweight and obesity among military personnel continue to increase. Each military department controls their own interventional strategies for physical fitness and weight control. However, unique challenges such as geographic transients, lack of central standardization and empirical efficacy data across military departments, and chronic stress associated with military service adversely affect program outcomes. This brief narrative report explores overweight and obesity interventions among military populations from 2006 to 2016 and includes programmatic reviews of eight overweight and obesity interventions: The Prevention of Obesity in Military Community; Health Eating, Activity, and Lifestyle Training Headquarters (H.E.A.L.T.H); ArmyMOVE!; L.I.F.E.; Look AHEAD; Nutrition-focused Wellness Coaching; Go for Green; and LE3AN. A majority of these interventions did not report significant weight loss 6 months post intervention, and did not mention a theoretical foundation within the interventions. Further research to examine the importance of theory-based programming is warranted to improve process and outcome objectives

Additional file 3: of Smoking is associated with the concurrent presence of multiple autoantibodies in rheumatoid arthritis rather than with anti-citrullinated protein antibodies per se: a multicenter cohort study

Table presenting biological interaction analysis between HLA-DRB1 SE alleles and smoking with the number of autoantibodies in the NOAR and the EAC. (DOCX 17 kb