Ultra-Processed Food Intake and Risk of Systemic Lupus Erythematosus among Women followed in the Nurses' Health Study Cohorts.

OBJECTIVE: We assessed ultra-processed food (UPF) intake and SLE incidence within the prospective Nurses' Health Study cohorts. METHODS: 204,175 women were followed, NHS: 1984 - 2016; NHSII: 1991 - 2017. Semi-quantitative food frequency questionnaires were completed every 2-4 years. UPF intake was determined as per the Nova classification. Nurses self-reported new doctor-diagnosed SLE, confirmed by medical records. Time-varying Cox regressions estimated hazard ratios (HR, 95% confidence intervals) for incident SLE and SLE by anti-double stranded DNA antibody (dsDNA) at diagnosis, according to cumulatively-updated daily: a) UPF servings, b) total intake (gms + mls), and c) % total intake. Analyses adjusted for age, race, cohort, caloric and alcohol intakes, household income, smoking, body mass index (BMI), physical activity, menarchal age, and oral contraceptive use. We tested for interaction with BMI and examined UPF categories. RESULTS: Mean baseline age was ~50 years (NHS) and ~36 years (NHSII); 93% self-reported White race. 212 incident SLE cases were identified. SLE risk was higher in 3rd vs. 1st UPF tertile (servings/day pooled multivariable [MV] HR 1.56 (1.04-2.32); p trend 0.03). Results were stronger for dsDNA+ SLE (servings/day pooled MV HR 2.05 (1.15-3.65); p trend 0.01), and for absolute (servings or total) than % total intake. Sugar/artificially-sweetened beverages were associated with SLE risk (3rd vs. 1st tertile MV HR 1.45 (1.01-2.09). No BMI interactions were observed. CONCLUSION: Higher cumulative-average daily UPF intake was associated with >50% increased SLE risk, and with doubled risk for anti-dsDNA+ SLE. Many deleterious effects on systemic inflammation and immunity are postulated.

Association of Reported Nonsteroidal Anti-Inflammatory Drug (NSAID) Adverse Drug Reactions With Opioid Prescribing After Total Joint Arthroplasty.

BACKGROUND: Nonsteroidal anti-inflammatory drugs (NSAIDs) are indicated for postoperative pain management, but use may be precluded by the report of adverse drug reactions (ADRs). The effect of NSAID ADR labeling on opioid prescribing after total joint arthroplasty (TJA) is unknown. OBJECTIVE: To assess the association between NSAID ADRs and postoperative opioid prescribing after TJA, a common surgical procedure. METHODS: We performed a retrospective cohort study of adults who underwent total joint (knee or hip) replacement in a single hospital network between April, 1, 2016, and December 31, 2019. Demographic information, clinical and surgical characteristics, and prescription data were obtained from the electronic health record. We studied the association between reported NSAID ADRs and postoperative opioid prescribing in a propensity score-matched sample over 1 year of follow-up. RESULTS: NSAID ADRs were reported by 9.6% of the entire cohort (n = 584/6091). NSAID ADR was associated with 41% higher odds of receipt of opioid prescriptions at 181 to 365 days after hospital discharge (95% confidence interval: 13%-75%) in a propensity score-matched sample. Over 98% of individuals received an opioid prescription at the time of hospital discharge, with no difference in overall median opioid dose prescribed by NSAID ADR status. However, more patients with NSAID ADRs (7.6% vs 4.7%) received cumulative opioid doses ≥ 750 morphine milligram equivalents (MME) at discharge (P = .004). CONCLUSION: Reported NSAID ADR was associated with increased risk for prolonged receipt of opioids at 181 to 365 days postoperatively. Patients with NSAID ADRs more frequently received cumulative opioid doses ≥ 750 MME at discharge after TJA. Clarification and evaluation of reported NSAID ADRs may be particularly beneficial for surgical patients at high risk for prolonged receipt of opioids.

Over-the-counter fish oil supplementation and pro-resolving and pro-inflammatory lipid mediators in rheumatoid arthritis.

OBJECTIVE: Little is known about the effects of over-the-counter fish oil (FO) supplements on circulating omega-3 polyunsaturated fatty acid (n-3 PUFA)-derived specialized pro-resolving mediators (SPMs), nor about whether having a chronic inflammatory disease such as rheumatoid arthritis (RA) influences SPM levels. We investigated associations between over-the-counter n-3 PUFA FO supplementation and circulating SPMs among patients with vs. without RA. METHODS: We studied 104 participants: 26 with RA taking FO matched by age and sex to 26 with RA not taking FO, 26 without RA taking FO, and 26 without RA not taking FO. Targeted-liquid chromatography-tandem mass spectroscopy was performed on patient plasma to identify and quantify 27 lipid mediators (including eicosanoids and SPMs). We performed t-tests and then multivariable linear regression analyses to assess whether having RA or taking FO supplements was associated with circulating lipid mediator concentrations, adjusting for age, race, sex, smoking, body mass index, and current medication use (statins, prednisone and immunomodulators among RA cases only). We tested for interactions between FO supplementation and RA status. We also conducted Spearman's correlations between EPA, DHA, and ARA and their downstream metabolites. RESULTS: Among patients who were taking FO compared to those who were not, in multivariable- adjusted analyses, SPM substrates EPA and DHA were both elevated as were several of their pro-resolving bioactive products, including 15- and 18-HEPE from EPA, and 14- and 17-HDHA from DHA, which are substrates for specific SPMs. While E-series and D-series resolvins were present and identified, we did not find statistical elevations of other SPMs. Results were similar among patients with RA and patients without RA, taking vs. not taking FO supplementation (no formal statistical interaction observed). There was a strong positive correlation between EPA and DHA and their immediate downstream SPM precursors (18-HEPE and15-HEPE from EPA; 17-HDHA and 14-HDHA from DHA) among all patients. CONCLUSION: Patients taking FO supplements, regardless of RA status, not only had higher blood levels of EPA and DHA, but also of their enzymatic products 18-HEPE (E-series resolvin precursors), 15-HEPE and 17-HDHA (D-series resolvin and protectin precursors). Patients with RA, an inflammatory autoimmune disease, may be able to augment some SPM precursor reserves, similarly to matched controls without RA, by taking oral FO supplements.

Association of Healthy Lifestyle Behaviors and the Risk of Developing Rheumatoid Arthritis Among Women.

OBJECTIVE: To investigate whether a healthy lifestyle, defined by a healthy lifestyle index score (HLIS), was associated with rheumatoid arthritis (RA) risk, overall and with seropositive/seronegative subtypes. METHODS: We analyzed female nurses in the Nurses' Health Study (NHS, 1986-2016) and NHSII (1991-2017). Lifestyle and medical information were collected on biennial questionnaires. Medical records confirmed incident RA and serostatus. The HLIS index includes 5 modifiable components: smoking, alcohol consumption, body mass index, physical activity, and diet. Cox regression, adjusted for confounders, modeled associations between HLIS and incident RA. The population attributable risk estimated the proportion of incident RA preventable if participants adopted ≥4 healthy lifestyle factors. RESULTS: A total of 1,219 incident RA cases (776 seropositive, 443 seronegative) developed in 4,467,751 person-years. Higher (healthier) HLIS was associated with lower overall RA risk (hazard ratio [HR] 0.86 [95% confidence interval (95% CI) 0.82-0.90]), seropositive RA risk (HR 0.85 [95% CI 0.80-0.91]), and seronegative RA risk (HR 0.87 [95% 0.80-0.94]). Women with 5 healthy lifestyle factors had the lowest risk (HR 0.42 [95% CI 0.22-0.80]). The population attributable risk for adhering to ≥4 lifestyle factors was 34% for RA. CONCLUSION: In this prospective cohort, healthier lifestyle was associated with a lower RA risk. A substantial proportion of RA may be preventable by a healthy lifestyle.

Posttraumatic Stress Disorder and Risk of Systemic Lupus Erythematosus Among Medicaid Recipients.

OBJECTIVE: We studied posttraumatic stress disorder (PTSD), a severe trauma-related mental disorder, and systemic lupus erythematosus (SLE) risk in a large, diverse population enrolled in Medicaid, a US government-sponsored health insurance program for low-income individuals. METHODS: We identified SLE cases and controls among patients ages 18-65 years enrolled in Medicaid for ≥12 months in the 29 most populated US states from 2007 to 2010. SLE and PTSD case statuses were defined based on validated patterns of International Classification of Diseases, Ninth Revision codes. Index date was the date of the first SLE code. Controls had no SLE codes but had another inpatient or outpatient code on the index date and were matched 1:10 to cases by age, sex, and race. Conditional logistic regressions calculated odds ratios (ORs) and 95% confidence intervals (95% CIs) for the association of PTSD with incident SLE, adjusting for smoking, obesity, oral contraceptive use, and other covariates. RESULTS: A total of 10,942 incident SLE cases were matched to 109,420 controls. The prevalence of PTSD was higher in SLE cases, at 10.74 cases of PTSD per 1,000 person-years (95% CI 9.37-12.31) versus 7.83 cases (95% CI 7.42-8.27) in controls. The multivariable-adjusted OR for SLE among those with PTSD was 2.00 (95% CI 1.64-2.46). CONCLUSION: In this large, racially and sociodemographically diverse US population, we found patients with a prior PTSD diagnosis had twice the odds of a subsequent diagnosis of SLE. Studies are necessary to clarify the mechanisms driving the observed association and to inform possible interventions.

Association of Ultraviolet B Radiation and Risk of Systemic Lupus Erythematosus Among Women in the Nurses' Health Studies.

OBJECTIVE: Ultraviolet (UV) radiation exposure is associated with photosensitivity, rashes, and flares in systemic lupus erythematosus (SLE). However, it is not known whether UV exposure increases risk of developing SLE. We examined UV exposure and SLE risk in a large prospective cohort. METHODS: The Nurses' Health Study (NHS) enrolled 121,700 US female nurses in 1976; in 1989, 116,429 nurses were enrolled in NHS II. Biennial questionnaires collected lifestyle and medical data. Self-reported incident SLE by American College of Rheumatology classification criteria was confirmed by medical record review. Ambient UV exposure was estimated by linking geocoded residential addresses with a spatiotemporal UV exposure model. Cox models estimated hazard ratios (HRs) and 95% confidence intervals (95% CIs) across tertiles of time-varying cumulative average UV. We examined SLE risk overall and stratified by anti-Ro/La antibodies and by cutaneous manifestations from 1976 through 2014 (NHS)/2015 (NHS II), adjusting for confounders. RESULTS: With 6,054,665 person-years of exposure, we identified 297 incident SLE cases; the mean ± SD age at diagnosis was 49.8 ± 10.6 years. At diagnosis, 16.8% of women had +anti-Ro/La, and 80% had either +anti-Ro/La or ≥1 cutaneous manifestation. Compared with the lowest UV exposure tertile, risk of overall SLE was increased, but not significantly (HR 1.28 [95%CI 0.96-1.70]). Women in the highest tertile had increased risk of malar rash (HR 1.62 [95% CI 1.04-2.52]). CONCLUSION: Cumulative UV exposure was not associated with SLE risk. Higher UV exposure, however, was associated with increased risk of malar rash at presentation. UV exposure may trigger SLE onset with malar rash among susceptible women.

Risk prediction models for incident systemic lupus erythematosus among women in the Nurses' health study cohorts using genetics, family history, and lifestyle and environmental factors.

OBJECTIVE: Systemic lupus erythematosus (SLE) is a severe multisystem autoimmune disease that predominantly affects women. Its etiology is complex and multifactorial, with several known genetic and environmental risk factors, but accurate risk prediction models are still lacking. We developed SLE risk prediction models, incorporating known genetic, lifestyle and environmental risk factors, and family history. METHODS: We performed a nested case-control study within the Nurses' Health Study cohorts (NHS). NHS began in 1976 and enrolled 121,700 registered female nurses ages 30-55 from 11 U.S. states; NHSII began in 1989 and enrolled 116,430 registered female nurses ages 25-42 from 14 U.S. states. Participants were asked about lifestyle, reproductive and environmental exposures, as well as medical information, on biennial questionnaires. Incident SLE cases were self-reported and validated by medical record review (Updated 1997 American College of Rheumatology classification criteria). Those with banked blood samples for genotyping (∼25% of each cohort), were selected and matched by age (± 4 years) and race/ethnicity to women who had donated a blood sample but did not develop SLE. Lifestyle and reproductive variables, including smoking, alcohol use, body mass index, sleep, socioeconomic status, U.S. region, menarche age, oral contraceptive use, menopausal status/postmenopausal hormone use, and family history of SLE or rheumatoid arthritis (RA) were assessed through the questionnaire prior to SLE diagnosis questionnaire cycle (or matched index date). Genome-wide genotyping results were used to calculate a SLE weighted genetic risk score (wGRS) using 86 published single nucleotide polymorphisms (SNPs) and 10 classical HLA alleles associated with SLE. We compared four sequential multivariable logistic regression models of SLE risk prediction, each calculating the area under the receiver operating characteristic curve (AUC): 1) SLE wGRS, 2) SLE/RA family history, 3) lifestyle, environmental and reproductive factors and 4) combining model 1-3 factors. Models were internally validated using a bootstrapped estimate of optimism of the AUC. We also examined similar sequential models to predict anti-dsDNA positive SLE risk. RESULTS: We identified and matched 138 women who developed incident SLE to 1136 women who did not. Models 1-4 yielded AUCs 0.63 (95%CI 0.58-0.68), 0.64 (95%CI 0.59-0.68), 0.71(95% CI 0.66-0.75), and 0.76 (95% CI 0.72-0.81). Model 4 based on genetics, family history and eight lifestyle and environmental factors had best discrimination, with an optimism-corrected AUC 0.75. AUCs for similar models predicting anti-dsDNA positive SLE risk, were 0.60, 0.63, 0.81 and 0.82, with optimism corrected AUC of 0.79 for model 4. CONCLUSION: A final model including SLE weighted genetic risk score, family history and eight lifestyle and environmental SLE risk factors accurately classified future SLE risk with optimism corrected AUC of 0.75. To our knowledge, this is the first SLE prediction model based on known risk factors. It might be feasibly employed in at-risk populations as genetic data are increasingly available and the risk factors easily assessed. The NHS cohorts include few non-White women and mean age at incident SLE was early 50s, calling for further research in younger and more diverse cohorts.

Effects of Vitamin D3 and Marine Omega-3 Fatty Acids Supplementation on Biomarkers of Systemic Inflammation: 4-Year Findings from the VITAL Randomized Trial.

Background: The VITAL study was a nationwide, randomized, double-blind, placebo-controlled, 2 × 2 factorial trial of vitamin D3 (2000 IU/day) and marine n-3 FAs (1 g/day) supplements. We recently reported that vitamin D supplementation with or without omega 3 fatty acids reduced autoimmune disease by 22% in the VITAL study. Objective: To investigate the effects of vitamin D3 and/or n-3 FAs on changes in systemic inflammatory biomarkers including pro- and anti-inflammatory cytokines over a 4-year period in the VITAL sub-cohort with in-person evaluations at the Center for Clinical Investigations (CCI) in Boston. Design: Serum levels of four inflammatory biomarkers (high-sensitivity C-reactive protein [hs-CRP], interleukin-6, interleukin-10, and tumor necrosis factor-α) were measured in a total of 2713 samples from those 1054 VITAL/CCI participants (aged 64.9 ± 6.5 years, 49% female, 84% white, and 9% black) at baseline, year 2, and year 4 follow-up visits. Results: In multiple-adjusted models, vitamin D3 supplementation decreased serum hs-CRP levels by 19% at 2-year follow-up (nominal p = 0.007; p-value after multiple comparison adjustment = 0.028), but not at 4-year follow-up (nominal and adjusted p-values > 0.05). The effects of vitamin D3 on other inflammatory markers were not statistically significant either at year 2 or year 4 (all adjusted p-values > 0.05). Marine n-3 FAs were not significantly associated with changes of all the above inflammatory markers either at years 2 and 4, after multiple comparison adjustment (all p-values > 0.05). Conclusions: Vitamin D3 supplementation with or without n-3 FAs decreased hs-CRP by 19% at year 2, but not other inflammatory biomarkers at year 2 or year 4, while n-3 FAs with or without vitamin D3 did not significantly affect these biomarkers at either time point. Our findings support a potential role of vitamin D supplementation in modulating the chronic inflammatory process, systemic inflammation, and possibly autoimmune disease progression.

Systemic Lupus Erythematosus Risk: The Role of Environmental Factors.

Systemic lupus erythematosus (SLE) is a complex, chronic autoimmune disease. The etiology of SLE is multifactorial and includes potential environmental triggers, which may occur sequentially (the "multi-hit" hypothesis). This review focuses on SLE risk potentially associated with environmental factors including infections, the microbiome, diet, respirable exposures (eg, crystalline silica, smoking, air pollution), organic pollutants, heavy metals, and ultraviolet radiation.

Association of Physical Activity With Bioactive Lipids and Cardiovascular Events.

BACKGROUND: To clarify the mechanisms underlying physical activity (PA)-related cardioprotection, we examined the association of PA with plasma bioactive lipids (BALs) and cardiovascular disease (CVD) events. We additionally performed genome-wide associations. METHODS: PA-bioactive lipid associations were examined in VITAL (VITamin D and OmegA-3 TriaL)-clinical translational science center (REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: NCT01169259; N=1032) and validated in JUPITER (Justification for the Use of statins in Prevention: an Intervention Trial Evaluating Rosuvastatin)-NC (REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: NCT00239681; N=589), using linear models adjusted for age, sex, race, low-density lipoprotein-cholesterol, total-C, and smoking. Significant BALs were carried over to examine associations with incident CVD in 2 nested CVD case-control studies: VITAL-CVD (741 case-control pairs) and JUPITER-CVD (415 case-control pairs; validation). RESULTS: We detected 145 PA-bioactive lipid validated associations (false discovery rate <0.1). Annotations were found for 6 of these BALs: 12,13-diHOME, 9,10-diHOME, lysoPC(15:0), oxymorphone-3b-D-glucuronide, cortisone, and oleoyl-glycerol. Genetic analysis within JUPITER-NC showed associations of 32 PA-related BALs with 22 single-nucleotide polymorphisms. From PA-related BALs, 12 are associated with CVD. CONCLUSIONS: We identified a PA-related bioactive lipidome profile out of which 12 BALs also had opposite associations with incident CVD events.

The role of environmental exposures and gene-environment interactions in the etiology of systemic lupus erythematous.

Systemic lupus erythematosus (SLE) is a complex, chronic autoimmune disease, whose etiology includes both genetic and environmental factors. Individual genetic risk factors likely only account for about one-third of observed heritability among individuals with a family history of SLE. A large portion of the remaining risk may be attributable to environmental exposures and gene-environment interactions. This review focuses on SLE risk associated with environmental factors, ranging from chemical and physical environmental exposures to lifestyle behaviors, with the weight of evidence supporting positive associations between SLE and occupational exposure to crystalline silica, current smoking, and exogenous estrogens (e.g., oral contraceptives and postmenopausal hormones). Other risk factors may include lifestyle behaviors (e.g., dietary intake and sleep) and other exposures (e.g., ultraviolet [UV] radiation, air pollution, solvents, pesticides, vaccines and medications, and infections). Alcohol use may be associated with decreased SLE risk. We also describe the more limited body of knowledge on gene-environment interactions and SLE risk, including IL-10, ESR1, IL-33, ITGAM, and NAT2 and observed interactions with smoking, UV exposure, and alcohol. Understanding genetic and environmental risk factors for SLE, and how they may interact, can help to elucidate SLE pathogenesis and its clinical heterogeneity. Ultimately, this knowledge may facilitate the development of preventive interventions that address modifiable risk factors in susceptible individuals and vulnerable populations.

Association of a Combination of Healthy Lifestyle Behaviors With Reduced Risk of Incident Systemic Lupus Erythematosus.

OBJECTIVE: While previous studies have demonstrated an association between individual factors related to lifestyle and the risk of systemic lupus erythematosus (SLE), it is unclear how the combination of these factors might affect the risk of incident SLE. This study was undertaken to prospectively evaluate whether a combination of healthy lifestyle factors is associated with a lower risk of incident SLE and its subtypes (anti-double-stranded DNA [anti-dsDNA]-positive and anti-dsDNA-negative SLE). METHODS: The study included 185,962 women from the Nurses' Health Study (NHS) and NHSII cohorts, among whom there were 203 incident cases of SLE (96 with anti-dsDNA-positive SLE, 107 with anti-dsDNA-negative SLE) during 4,649,477 person-years of follow-up. The Healthy Lifestyle Index Score (HLIS) was calculated at baseline and approximately every 2 years during follow-up, with scores assigned for 5 healthy lifestyle factors: alcohol consumption, body mass index, smoking, diet, and exercise. A time-varying Cox proportional hazards regression model was used to estimate the adjusted hazard ratios (HRs) with 95% confidence intervals (95% CIs) for the risk of SLE. In addition, the percentage of partial population attributable risk (PAR%) of SLE development was calculated. RESULTS: A higher HLIS was associated with a lower risk of SLE overall (HR 0.81 [95% CI 0.71-0.94]) and a lower risk of anti-dsDNA-positive SLE (HR 0.78 [95% CI 0.63-0.95]). Women with ≥4 healthy lifestyle factors had the lowest risk of SLE overall (HR 0.42, 95% CI 0.25-0.70) and lowest risk of anti-dsDNA-positive SLE (HR 0.35, 95% CI 0.17-0.75) as compared to women with only 1 healthy behavior or no healthy behaviors. The PAR% of SLE development was 47.7% (95% CI 23.1-66.6%), assuming that the entire population had adhered to at least 4 healthy lifestyle behaviors. CONCLUSION: These results indicate that the risk of developing SLE, a disease in which significant evidence of genetic involvement has been established, might be reduced by nearly 50% with adherence to modifiable healthy lifestyle behaviors.

Passive Smoking Throughout the Life Course and the Risk of Incident Rheumatoid Arthritis in Adulthood Among Women.

OBJECTIVE: To investigate passive smoking throughout the life course and the risk of rheumatoid arthritis (RA), while accounting for personal smoking. METHODS: We analyzed the Nurses' Health Study II prospective cohort, using information collected via biennial questionnaires. We assessed the influence of 1) maternal smoking during pregnancy (in utero exposure), 2) childhood parental smoking, and 3) years lived with smokers since age 18. Incident RA and serostatus were determined by medical record review. Using the marginal structural model framework, we estimated the controlled direct effect of each passive smoking exposure on adult incident RA risk by serologic phenotype, controlling for early-life factors and time-updated adulthood factors including personal smoking. RESULTS: Among 90,923 women, we identified 532 incident RA cases (66% seropositive) during a median of 27.7 years of follow-up. Maternal smoking during pregnancy was associated with RA after adjustment for confounders, with a hazard ratio (HR) of 1.25 (95% confidence interval [95% CI] 1.03-1.52), but not after accounting for subsequent smoking exposures. Childhood parental smoking was associated with seropositive RA after adjustment for confounders (HR 1.41 [95% CI 1.08-1.83]). In the controlled direct effect analyses, childhood parental smoking was associated with seropositive RA (HR 1.75 [95% CI 1.03-2.98]) after controlling for adulthood personal smoking, and the association was accentuated among ever smokers (HR 2.18 [95% CI 1.23-3.88]). There was no significant association of adulthood passive smoking with RA (HR 1.30 for ≥20 years of living with a smoker versus none [95% CI 0.97-1.74]). CONCLUSION: We found a potential direct influence of childhood parental smoking on adult-onset incident seropositive RA even after controlling for adulthood personal smoking.

Assessing improved risk prediction of rheumatoid arthritis by environmental, genetic, and metabolomic factors.

OBJECTIVE: We sought to improve seropositive rheumatoid arthritis (RA) risk prediction using a novel weighted genetic risk score (wGRS) and preclinical plasma metabolites associated with RA risk. Predictive performance was compared to previously validated models including RA-associated environmental factors. METHODS: This nested case-control study matched incident seropositive RA cases (meeting ACR 1987 or EULAR/ACR 2010 criteria) in the Nurses' Health Studies (NHS) to two controls on age, blood collection features, and post-menopausal hormone use at pre-RA blood draw. Environmental variables were measured at the questionnaire cycle preceding blood draw. Four models were generated and internally validated using a bootstrapped optimism estimate: (a) base with environmental factors (E), (b) environmental, genetic and gene-environment interaction factors (E + G + GEI), c) environmental and metabolic factors (E + M), and d) all factors (E + G + GEI + M). A fifth model including all factors and interaction terms was fit using ridge regression and cross-validation. Models were compared using area under the receiver operating characteristic curve (AUC). RESULTS: 150 pre-RA cases and 455 matched controls were included. The E model yielded an optimism-corrected AUC of 0.622. The E + M model did not show improvement over the E model (corrected AUC 0.620). Including genetic factors increased prediction, producing corrected AUCs of 0.677 in the E + G + GEI model and 0.674 in the E + G + GEI + M model. Similarly, the performance of the cross-validated ridge regression model yielded an AUC of 0.657. CONCLUSION: Addition of wGRS and gene-environment interaction improved seropositive RA risk prediction models. Preclinical metabolite levels did not significantly contribute to prediction.

Avoidable Acute Care Use for Vaccine-Preventable Illnesses Among Medicaid Beneficiaries With Lupus.

OBJECTIVE: Nearly 25% of patients with systemic lupus erythematosus (SLE) are hospitalized yearly, often for outcomes that may have been avoided if patients had received sustained outpatient care. We examined acute care use for vaccine-preventable illnesses to determine sociodemographic contributors and modifiable predictors. METHODS: Using US Medicaid claims from 29 states (2000-2010), we identified adults (18-65 years) with prevalent SLE and 12 months of enrollment prior to the first SLE code (index date) to identify baseline data. We defined acute care use for vaccine-preventable illnesses as emergency department (ED) or hospital discharge diagnoses for influenza, pneumococcal disease, meningococcal disease, herpes zoster, high-grade cervical dysplasia/cervical cancer, and hepatitis B after the index date. We estimated the incidence rate of vaccine-preventable illnesses and used Cox regression to assess risk (with hazard ratios and 95% confidence intervals) by sociodemographic factors and health care utilization, adjusting for vaccinations, comorbidities, and medications. RESULTS: Among 45,654 Medicaid beneficiaries with SLE, <10% had billing claims for vaccinations. There were 1,290 patients with ≥1 ED visit or hospitalization for a vaccine-preventable illness (6.6 per 1,000 person-years); 93% of events occurred in unvaccinated patients. Patients who were Black compared to White had 22% higher risk. Greater outpatient visits were associated with lower risk. CONCLUSION: Medicaid beneficiaries with SLE who are not vaccinated are at risk for potentially avoidable acute care use for vaccine-preventable illnesses. Racial disparities were noted, with a higher risk among Black patients compared to White patients. Greater outpatient use was associated with reduced risk, suggesting that access to ambulatory care may reduce avoidable acute care use.

Circulating blood metabolite trajectories and risk of rheumatoid arthritis among military personnel in the Department of Defense Biorepository.

OBJECTIVES: We sought to identify metabolic changes potentially related to rheumatoid arthritis (RA) pathogenesis occurring in the blood prior to its diagnosis. METHODS: In a US military biorepository, serum samples collected at two timepoints prior to a diagnosis of RA were identified. These were matched to controls who did not develop RA by subject age, race and time between sample collections and RA diagnosis time to stored serum samples. Relative abundances of 380 metabolites were measured using liquid chromatography-tandem mass spectrometry. We determined whether pre-RA case versus control status predicted metabolite concentration differences and differences over time (trajectories) using linear mixed models, assessing for interactions between time, pre-RA status and metabolite concentrations. We separately examined pre-RA and pre-seropositive RA cases versus matched controls and adjusted for smoking. Multiple comparison adjustment set the false discovery rate to 0.05. RESULTS: 291 pre-RA cases (80.8% pre seropositive RA) were matched to 292 controls, all with two serum samples (2.7±1.6 years; 1.0±0.9 years before RA/matched date). 52.0% were women; 52.8% were White, 26.8% Black and 20.4% other race. Mean age was 31.2 (±8.1) years at earliest blood draw. Fourteen metabolites had statistically significant trajectory differences among pre-RA subjects versus controls, including sex steroids, amino acid/lipid metabolism and xenobiotics. Results were similar when limited to pre seropositive RA and after adjusting for smoking. CONCLUSIONS: In this military case-control study, metabolite concentration trajectory differences in pre-RA cases versus controls implicated steroidogenesis, lipid/amino acid metabolism and xenobiotics in RA pathogenesis. Metabolites may have potential as biomarkers and/or therapeutic targets preceding RA diagnosis.

American College of Rheumatology, American Academy of Dermatology, Rheumatologic Dermatology Society, and American Academy of Ophthalmology 2020 Joint Statement on Hydroxychloroquine Use With Respect to Retinal Toxicity.

Four major medical societies involved with hydroxychloroquine (HCQ) therapy concur on the need for common principles and cooperation to minimize the risk of ocular toxicity. At a daily dosage of ≤5 mg/kg/day actual body weight, the risk of retinal toxicity from HCQ is <2% for usage up to 10 years. Widespread adoption of more sensitive testing techniques, such as optical coherence tomography and automated visual fields, by eye care providers will allow the detection of early toxicity and thus preserve the patient's visual function. Baseline testing is advised to rule out confounding disease when a patient is started on HCQ. Annual screening with sensitive tests should begin no more than 5 years after treatment initiation. Providers should be sensitive to the medical value of HCQ, and not stop the drug for uncertain indications. It is important to note that effective communication among prescribing physicians, patients, and eye care providers will optimize the utility and safety of HCQ.