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Background: This study evaluated the content validity and psychometric properties of the Patient-Reported Outcomes Measurement Information System® (PROMIS)-Fatigue Short Form 7a (SF-7a) v1.0 scale to determine its suitability in clinical trials to assess fatigue in patients with moderately to severely active Crohn's disease (CD) and ulcerative colitis (UC). Methods: A qualitative interview assessed patients' experience living with CD (N = 20) and UC (N = 19). The contents of the SF-7a scale were cognitively debriefed to evaluate content validity. A psychometric evaluation was performed using data from clinical trials of patients with CD (N = 360) and UC (N = 214). Correlations with Inflammatory Bowel Disease Questionnaire (IBDQ), Crohn's Disease Activity Index (CDAI; CD only), and Mayo score (UC only) determined validity. The Patient Global Impression of Change (PGIC) was used to evaluate reliability and responsiveness to change. Using PGIC as an anchor, a preliminary threshold for clinically meaningful change was identified to define fatigue response in both CD and UC patients. Results: All patients reported fatigue as a common symptom. Patients confirmed SF-7a items were relevant to assessing fatigue, instructions and response options were clear, and its 7-day recall period was appropriate. Higher SF-7a scores were associated with higher disease activity (CDAI and Mayo score) and lower health-related quality of life (IBDQ), confirming known groups validity. The correlation of the SF-7a scale was higher with fatigue-related items. (rs ≥ -0.70) than with items not directly associated with fatigue. Test-retest reliability was moderate to good (0.54–0.89) among patients with stable disease, and responsiveness to change in disease severity was demonstrated from baseline to Week 12. A ≥7point decrease was identified as a reasonable threshold to define clinically meaningful improvement. Conclusion: The SF-7a scale is a valid, reliable, and sensitive measure of fatigue in patients with moderately to severely active IBD and can be used to evaluate treatment response. [ABSTRACT FROM AUTHOR]

Introduction: One target of rheumatoid arthritis (RA) treatment is to achieve early sustained remission; over the long term, patients in sustained remission have less structural joint damage and physical disability. We evaluated Simplified Disease Activity Index (SDAI) remission with abatacept + methotrexate versus abatacept placebo + methotrexate and impact of de-escalation (DE) in anti-citrullinated protein antibody (ACPA)-positive patients with early RA. Methods: The phase IIIb, randomized, AVERT-2 two-stage study (NCT02504268) evaluated weekly abatacept + methotrexate versus abatacept placebo + methotrexate. Primary endpoint: SDAI remission (≤ 3.3) at week 24. Pre-planned exploratory endpoint: maintenance of remission in patients with sustained remission (weeks 40 and 52) who, from week 56 for 48 weeks (DE period), (1) continued combination abatacept + methotrexate, (2) tapered abatacept to every other week (EOW) + methotrexate for 24 weeks with subsequent abatacept withdrawal (abatacept placebo + methotrexate), or (3) withdrew methotrexate (abatacept monotherapy). Results: Primary study endpoint was not met: 21.3% (48/225) of patients in the combination and 16.0% (24/150) in the abatacept placebo + methotrexate arm achieved SDAI remission at week 24 (p = 0.2359). There were numerical differences favoring combination therapy in clinical assessments, patient-reported outcomes (PROs) and week 52 radiographic non-progression. After week 56, 147 patients in sustained remission with abatacept + methotrexate were randomized (combination, n = 50; DE/withdrawal, n = 50; abatacept monotherapy, n = 47) and entered DE. At DE week 48, SDAI remission (74%) and PRO improvements were mostly maintained with continued combination therapy; lower remission rates were observed with abatacept placebo + methotrexate (48.0%) and with abatacept monotherapy (57.4%). Before withdrawal, de-escalating to abatacept EOW + methotrexate preserved remission. Conclusions: The stringent primary endpoint was not met. However, in patients achieving sustained SDAI remission, numerically more maintained remission with continued abatacept + methotrexate versus abatacept monotherapy or withdrawal. Trial Registration: ClinicalTrials.gov identifier, NCT02504268. 6DHXqidsCNRrz-f8FYdsgJ Video abstract (MP4 62241 KB) Plain Language Summary: Patients with rheumatoid arthritis (RA) experience inflamed and damaged joints. RA is an autoimmune disease in which proteins called autoantibodies, particularly anti-citrullinated protein autoantibodies, target the patient's own joint tissue and organs by mistake, leading to symptomatic inflammation. Successful treatment can decrease the disease's activity to a state known as remission. Patients in remission may experience little or no symptoms and it may be possible for some to then be able to decrease their treatment. Here, we report the results of a large, international study that looked at two treatments, abatacept and methotrexate, in patients with RA and anti-citrullinated protein autoantibodies. The study had two parts. Firstly, to see how many patients had success (remission) with weekly abatacept and/or methotrexate treatment, and secondly, to see if remission was maintained when treatment was either continued or decreased and stopped. The study showed that the number of patients in remission 6 months after treatment started was not greatly different between patients treated with both abatacept and methotrexate and those treated with just methotrexate. Those taking abatacept and methotrexate together had better remission rates 1 year later. More patients also stayed in remission when they continued to receive both abatacept and methotrexate compared with those who were just treated with abatacept or when their abatacept treatment was decreased and stopped. More patients stayed in remission when abatacept was decreased than when it was stopped. The results from this study may help determine possible future treatment reduction and/or withdrawal plans for some patients with RA. [ABSTRACT FROM AUTHOR]

Differences among hosts, resulting from genetic variation in the immune system or heterogeneity in drug treatment, can impact within-host pathogen evolution. Genetic association studies can potentially identify such interactions. However, extensive and correlated genetic population structure in hosts and pathogens presents a substantial risk of confounding analyses. Moreover, the multiple testing burden of interaction scanning can potentially limit power. We present a Bayesian approach for detecting host influences on pathogen evolution that exploits vast existing data sets of pathogen diversity to improve power and control for stratification. The approach models key processes, including recombination and selection, and identifies regions of the pathogen genome affected by host factors. Our simulations and empirical analysis of drug-induced selection on the HIV-1 genome show that the method recovers known associations and has superior precision-recall characteristics compared to other approaches. We build a high-resolution map of HLA-induced selection in the HIV-1 genome, identifying novel epitope-allele combinations. Various host factors may impact within-host pathogen evolution. Here, the authors develop a Bayesian approach for identifying host-pathogen interactions using large data sets of pathogen diversity, and apply it to investigate HLA-induced selection in the HIV-1 genome. [ABSTRACT FROM AUTHOR]