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PURPOSE Fluctuations in weight have been linked to cardiovascular (CV) outcomes in the general population. We evaluated whether weight fluctuation was independently predictive of CV events in patients with rheumatoid arthritis (RA). METHODS We studied patients with RA from the Corrona registry. Weight change was categorized as loss of ≥10%, loss of 5-10%, stable, gain of 5-10%, and gain of ≥10%. We also categorized patients by quintile of variability in weight in prior observation periods. Cox proportional hazard models explored independent associations between time-varying weight change and weight variability and risk of CV events before and after adjusting for CV risk factors, RA disease features, and disability. RESULTS Among 31,381 participants, those that lost or gained 10% of their weight had greater disease activity, worse physical function, and were more likely to smoke, have diabetes, use corticosteroids, and be disabled. In adjusted models, a greater risk of CV events was observed in those that experienced 10% weight loss [HR: 1.18 (1.03,1.36) p=0.02] or weight gain [HR 1.20 (1.04,1.38) p=0.01]. The association between weight change and CV events was stronger among participants with BMI

Background Evaluating the performance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serological assays and clearly articulating the utility of selected antigens, isotypes, and thresholds is crucial to understanding the prevalence of infection within selected communities. Methods This cross-sectional study, implemented in 2020, screened PCR–confirmed coronavirus disease 2019 patients (n = 86), banked prepandemic and negative samples (n = 96), healthcare workers and family members (n = 552), and university employees (n = 327) for anti–SARS-CoV-2 receptor-binding domain, trimeric spike protein, and nucleocapsid protein immunoglobulin (Ig)G and IgA antibodies with a laboratory-developed enzyme-linked immunosorbent assay and tested how antigen, isotype and threshold choices affected the seroprevalence outcomes. The following threshold methods were evaluated: (i) mean + 3 standard deviations of the negative controls; (ii) 100% specificity for each antigen-isotype combination; and (iii) the maximal Youden index. Results We found vastly different seroprevalence estimates depending on selected antigens and isotypes and the applied threshold method, ranging from 0.0% to 85.4%. Subsequently, we maximized specificity and reported a seroprevalence, based on more than one antigen, ranging from 9.3% to 25.9%. Conclusions This study revealed the importance of evaluating serosurvey tools for antigen-, isotype-, and threshold-specific sensitivity and specificity, to interpret qualitative serosurvey outcomes reliably and consistently across studies.

Background Likelihood of Neisseria gonorrhoeae infection in women exposed to male sex partners with increasing N. gonorrhoeae burdens and enhancement by Chlamydia trachomatis is not defined. Methods We identified men with urethritis and their regular female sex partners. Exposure to N. gonorrhoeae burdens in men was compared in N. gonorrhoeae-infected versus -uninfected partners. Association of N. gonorrhoeae infection in women with burdens in male partners was estimated using logistic regression. Association of C. trachomatis coinfection and N. gonorrhoeae burdens in women adjusted for burdens in male partners was estimated by linear regression. Results In total, 1816 men were enrolled; 202 had ≥2 partners, 91 who confirmed monogamy and were enrolled; 77% were married. Seventy were partners of N. gonorrhoeae-infected men; 58 (83%) were N. gonorrhoeae infected, 26 (45%) C. trachomatis coinfected. Infected women had partners with 9.3-fold higher N. gonorrhoeae burdens than partners of uninfected women (P = .0041). Association of N. gonorrhoeae infection in women with upper quartiles of N. gonorrhoeae burdens in partners increased (odds ratios ≥ 2.97)compared to the first quartile (P = .032). N. gonorrhoeae burdens in C. trachomatis-coinfected women were 2.82-fold higher than in C. trachomatis-uninfected women (P = .036). Conclusions N. gonorrhoeae infections increased in women whose partners were infected with higher N. gonorrhoeae burdens. C. trachomatis coinfection was associated with increased N. gonorrhoeae burdens in women.