Search

Objective: The aim of this study was to describe the adult rheumatology workforce in the United States, assess change in rheumatology providers over time, and identify variation in rheumatology practice characteristics. Methods: Using national Medicare claims data from 2006 to 2020, clinically active rheumatology physicians and advanced practice providers (APPs) were identified. Each calendar year was used for inclusion, exclusion, and analysis, and providers were determined to be entering, exiting, or stable based upon presence or absence in the prior or subsequent years of data. Characteristics (age, gender, practice type, rural, and region) of rheumatologists were determined for 2019 and in mutually exclusive study periods from 2009 to 2011, 2012 to 2015, and 2016 to 2019. The location of rheumatology practice was determined by billing tax identification and mapped. Demographics of physicians exiting or entering the rheumatology workforce were compared separately to those stable by logistic regression. Results: The clinically active adult rheumatology workforce identified in US Medicare in 2019 was 5,667 rheumatologists and 379 APPs. From 2009 to 2020, the number of rheumatologists increased 23% and the number of APPs increased 141%. There was an increase in female rheumatologists over time, rising to 43% in 2019. Women and those employed by a health care system were more likely to exit, and those in a small practice or in the South were less likely to exit. Conclusion: The overall number of clinically active rheumatology providers grew more than 20% over the last decade to a high of 6,036 in 2020, although this rate of growth appears to be flattening off in later years. [ABSTRACT FROM AUTHOR]

Objective: The objective of this study was to determine the proportion of new medication prescriptions observed in electronic health records (EHR) that represent true incident medication use, accounting for undocumented previous prescriptions (prevalent medication use) and failure to initiate treatment (primary nonadherence) with linked administrative claims data as the reference standard. Methods: Using single‐specialty rheumatology EHR data from more than 700 community practices in the United States linked to administrative claims data, we identified first (index) EHR prescriptions and assessed the positive predictive value (PPV) of different EHR‐derived new user definitions to identify true incident use (no prior claims). We then assessed how often index EHR prescriptions that met a definition of new use resulted in primary nonadherence (no subsequent claims). Results: Overall, 12,405 index EHR prescriptions were identified with PPVs of 0.59 to 0.67 for true incident use. PPVs increased to 0.76 to 0.85 by excluding medications listed during the EHR medication reconciliation process and further increased to 0.87 to 0.93 by requiring ≥12 elapsed months since the first rheumatology office visit. Primary nonadherence at three months was observed in 33% to 38% overall and varied substantially by medication class, ranging from 15% to 23% for conventional synthetic disease‐modifying antirheumatic drugs (DMARDs) to 54% to 64% for targeted synthetic DMARDs. Conclusion: New DMARD use was accurately distinguished from prevalent use with EHR prescriptions and simple new user definitions that include current medications collected during medication reconciliation. Primary nonadherence was frequent and varied by DMARD class. This has important implications for epidemiologic studies using EHR data and for optimal delivery of clinical care. [ABSTRACT FROM AUTHOR]

Objective: To investigate the relationship between dietary inflammatory index (DII) scores and infertility in US adults aged 18 to 45., Methods: Data were gathered from the 2013-2018 National Health and Nutrition Examination Survey (NHANES). In total, 3496 women were included in the study. To examine the relationship between DII, EDII and infertility, a weighted multivariable logistic regression analysis using continuous factors or categorical variables grouped by quartiles was conducted. Using subgroup analysis stratified based on DII and infertility features, the association between DII and infertility has been further studied. In order to determine whether there was a nonlinear relationship between DII and infertility, restricted cubic spline (RCS) analysis was carried out., Results: For statistical analysis, a total of 3496 individuals - 367 patients with infertility and 3129 persons without infertility - were included. A multivariable logistic regression study revealed a positive relationship between DII and infertility. A significant difference in subgroup analysis was shown in age group and race, although RCS analysis demonstrated nonlinear relationship between the DII and infertility., Conclusion: For participants aged 18-45 years, higher DII scores were positively correlated with infertility. In addition, anti-inflammatory diets might improve infertility outcomes., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Qi, Su, Zhang and Ren.)

BACKGROUND: Systemic lupus erythematosus (SLE) is a complex clinical diagnosis historically aided by imperfect biomarkers. The advent of a multianalyte assay panel incorporating innovative cell-bound complement activation markers necessitates a comparison of its clinical utility to conventional autoantibodies for the diagnosis and treatment of SLE. OBJECTIVES: To compare the likelihood of SLE diagnosis, SLE treatment initiation, and the downstream impact on health care utilization among patients tested with AVISE Lupus (AVISE) vs standard-of-care laboratory testing with the traditional antinuclear antibody (ANA) testing strategy cohort (tANA). METHODS: An observational retrospective cohort study was conducted using electronic health record (EHR) data from the Illumination Health registry, which integrates EHR records from more than 300 rheumatologists across the US. Health records from January 2016 to December 2020 and administrative claims with cost data for a subset of patients linkable to the HealthCore Integrated Research Database and Medicare data were analyzed. The AVISE and tANA test results were classified as positive, negative, or indeterminate, and outcomes were stratified based on test results. Two cohorts were established: AVISE testing strategy and the tANA approach. Analyses included test impact on SLE diagnosis, treatment initiation, patterns of repeat testing, and downstream health care utilization. Multivariable logistic regression was used to estimate odds ratios (ORs) comparing the likelihood of SLE medication initiation and SLE diagnosis between the AVISE and tANA cohorts. RESULTS: The main cohort included 21,827 AVISE testing episodes and 22,778 tANA testing episodes. A total of 2,437 (11.2%) patients tested positive by AVISE compared with 5,364 (23.6%) of tANA positive patients. Among patients with no baseline prescription for SLE medication(s), patients with a positive AVISE test result were more likely to initiate SLE medications compared with tANA positive patients (43% vs 32%; OR = 1.57; 95% CI = 1.41-1.76). The treatment effect was larger in patients new to the practice within the preceding year (55% vs 33%; adjusted OR = 2.77; 95% CI = 2.31-3.32). AVISE positive patients were more than 5-fold more likely to be diagnosed with SLE, as compared with the tANA patients (31% vs 8%; OR = 5.11; 95% CI = 4.43-5.89), and similar in the new patient cohort (30% vs 6%; OR = 6.34; 95% CI = 5.12-7.86). Linked EHR-Medicare data revealed a greater decrease in posttest vs pretest mean annualized outpatient laboratory testing in AVISE negative (-$985; P < 0.0001) vs tANA negative (-$356; P < 0.0001) patients. A similar analysis in the EHR-HealthCore linked data revealed similar numerical trends as the Medicare data for outpatient laboratory testing but did not reach significance ( P > 0.05). Cost comparisons in the categories of hospitalization, emergency department, outpatient imaging, and pharmacy costs did not yield significant differences. CONCLUSIONS: The significantly greater likelihood of SLE diagnosis and SLE medication initiation in AVISE positive vs tANA positive patients is consistent with improved clinical actionability, potentially shortening time to diagnosis. AVISE negative patients experienced a greater decrease in outpatient laboratory testing posttest relative to tANA negative patients, supporting the improved negative predictive value of AVISE vs tANA. DISCLOSURES: Mr O'Malley and Dr Zack are employed by Exagen Inc. Drs Curtis and Xie, Ms Su, and Ms Clinton are affiliated with the University of Alabama at Birmingham. Mr Haechung and Dr Grabner are employees of HealthCore, Inc., which received funding from Bendcare (owner of the Illumination Health Registry) for the conduct of parts of the study on which this manuscript is based. Exagen Inc. provided funding to Bendcare for the conduct of the study. Dr Grabner is also a shareholder of Anthem, Inc.