Anti-SARS-CoV-2 mRNA vaccination among patients living with SLE in Sweden: Coverage and clinical effectiveness.

OBJECTIVES: To describe the uptake of anti-SARS-CoV2 vaccination in 2021 and investigate vaccine effectiveness in systemic lupus erythematosus (SLE) patients in Sweden. METHODS: The cumulative incidence of first anti-SARS-CoV2 vaccination was estimated among SLE patients from the Swedish National Patient Register and matched comparators living in Sweden on January 1, 2021. To assess vaccine effectiveness, we included the individuals who received two doses of anti-SARS-CoV2 mRNA vaccines before year 2022, with no COVID-19 diagnosis code before the 2nd vaccine dose. Hospitalization rates with COVID-19 as main diagnosis during the year after second dose were compared between SLE patients and comparators in multivariable-adjusted marginal Cox models, overall and stratified by immunosuppressive treatment received during the year before second vaccine dose. RESULTS: Vaccination uptake was similar between SLE patients and comparators. By December 2021, 9% of both SLE and comparators had not received any vaccine doses. Among 5585 SLE patients and 37,102 comparators, 11 COVID-19 hospitalizations in the SLE group and 20 in the comparators occurred. SLE was associated with a higher risk of COVID-19 hospitalization (HR = 3.47, 95%CI 1.63-7.39). The HR was higher for immunosuppressive-treated SLE (7.03 95%CI 3.00-16.46) than for immunosuppressive-untreated (1.50 95%CI 0.34-6.60). Vaccination of immunosuppressive-untreated SLE patients had similar effectiveness as comparators. CONCLUSION: Anti-SARS-CoV2 vaccination coverage was similar between SLE patients and the general population in Sweden. Even though the incidence of post-vaccination COVID-19 hospitalization was very low, vaccine effectiveness was diminished in SLE patients compared to the general population and lowest in those treated with immunosuppressants.

Misdiagnosis, Missed Diagnosis, and Delayed Diagnosis of Lupus: A Qualitative Study of Rheumatologists.

OBJECTIVE: Diagnostic errors in outpatient settings lead to significant consequences, especially in rare diseases such as systemic lupus erythematosus (SLE). A recent vignette-based experimental study revealed that demographic factors influenced rheumatologists' diagnoses of SLE, raising concerns about potential diagnostic biases. We conducted a qualitative study to contextualize these results to generate insights about diagnostic challenges and biases, and root causes. METHODS: We conducted 41 semistructured interviews among US rheumatologists. Transcripts were independently coded by at least two coders using a hybrid deductive-inductive approach and thematic analysis. A team of four researchers reviewed and defined themes collectively, and also resolved any discrepancies. RESULTS: Participants were 66% women, and 49% had more than10 years of postfellowship experience. Five major themes were generated, including receiving training through the lens of race or sex, the role of the documented epidemiology of SLE, pattern recognition and test-taking strategies, patient vignettes as an imperfect proxy for patient interactions, and varied consequences to patients from diagnostic bias. Participants noted that the consequences of diagnostic bias could include progressed disease from delayed diagnosis, unnecessary and inappropriate treatment due to missed diagnosis or misdiagnosis, and increased cost and harm. CONCLUSION: This study underscores the unique challenges of diagnosing SLE, with complex factors contributing to diagnosis bias and delays. Interventions during medical education could prevent downstream diagnostic biases. Future research should explore interventions to mitigate diagnostic bias and refine vignettes to better mirror real-world clinical scenarios. Understanding diagnostic bias in SLE is crucial for improving patient outcomes and refining medical training practices.

A Counterfactual Analysis of Impact of Cesarean Birth in a First Birth on Severe Maternal Morbidity in the Subsequent Birth.

BACKGROUND: It is known that cesarean birth affects maternal outcomes in subsequent pregnancies, but specific effect estimates are lacking. We sought to quantify the effect of cesarean birth reduction among nulliparous, term, singleton, vertex (NTSV) births (i.e., preventable cesarean births) on severe maternal morbidity (SMM) in the second birth. METHODS: We examined birth certificates linked with maternal hospitalization data (2007-19) from California for NTSV births with a second birth (N = 779,382). The exposure was cesarean delivery in first birth and the outcome was SMM in the second birth. We used adjusted Poisson regression models to calculate risk ratios and population attributable fraction for SMM in the second birth and conducted a counterfactual impact analysis to estimate how lowering NTSV cesarean births could reduce SMM in second birth. RESULTS: The adjusted risk ratio for SMM in the second birth given a prior cesarean birth was 1.7 (95% CI 1.5-1.9); 15.5% (95% CI 15.3%-15.7%) of this SMM may be attributable to prior cesarean birth. In a counterfactual analysis where 12% of the California population least likely to get a cesarean birth instead delivered vaginally, we observed 174 fewer SMM events in a population of individuals with a low-risk first birth and a subsequent birth. CONCLUSIONS: In our counterfactual analysis, lowering primary cesarean birth among a NTSV population was associated with fewer downstream SMM events in subsequent births and overall. Additionally, our findings reflect the importance of considering the cumulative accrual of risks across the reproductive life-course.

Increased Risk of Preterm Delivery Subtypes and Hypertensive Disorders of Pregnancy in First Deliveries of Patients With Systemic Vasculitis.

OBJECTIVE: The goal of this study was to investigate the risk of preterm birth subtypes and hypertensive disorders of pregnancy in patients with systemic vasculitis using large, statewide databases. METHODS: Births to nulliparous patients with prevalent systemic vasculitides (Takayasu arteritis [TAK], Behçet disease [BD], antineutrophil cytoplasmic antibody-associated vasculitis [AAV], and Kawasaki disease [KD]) were identified using International Classification of Diseases, Ninth Revision codes in linked administrative data and birth records from the California Department of Health Care Access and Information and California Vital Statistics from 1991 to 2012. Hypertensive disorders of pregnancy and preterm delivery (PTD) subtypes were identified. Multivariable-adjusted Poisson models estimated risk ratios (RRs) of these outcomes compared with the general birthing population without history of rheumatic disease. RESULTS: A total of 96 births to nulliparous patients with systemic vasculitis were identified (TAK, 14; AAV, 31; BD, 26; KD, 15) and compared with 4,191,900 births of the nulliparous general population. Adjusted RRs for all PTD types were elevated in patients with vasculitis (RR 3.21, 95% confidence interval [CI] 2.15-4.79), as were the RRs of all PTD subtypes including preterm premature rupture of membranes (RR 4.30, 95% CI 2.05-9.01) and spontaneous PTD (RR 4.99, 95% CI 3.01-8.28). Of the spontaneous PTDs among patients with vasculitis, 16.7% were early PTDs (20-31 weeks), with the remaining 83.3% occurring between 32 to 36 weeks. Patients with vasculitis also had an elevated risk of hypertensive disorders of pregnancy (RR 2.96, 95% CI 1.72-5.10). CONCLUSION: Among first-time births, we found that patients with systemic vasculitis have an elevated risk of PTD subtypes as well as hypertensive disorders of pregnancy.

Considering pregnancies as repeated vs independent events: an empirical comparison of common approaches across selected perinatal outcomes.

BACKGROUND: In population-based research, pregnancy may be a repeated event. Despite published guidance on how to address repeated pregnancies to the same individual, a variety of approaches are observed in perinatal epidemiological studies. While some of these approaches are supported by the chosen research question, others are consequences of constraints inherent to a given dataset (eg, missing parity information). These decisions determine how appropriately a given research question can be answered and overall generalizability. OBJECTIVE: To compare common cohort selection and analytic approaches used for perinatal epidemiological research by assessing the prevalence of two perinatal outcomes and their association with a clinical and a social independent variable. STUDY DESIGN: Using vital records linked to maternal hospital discharge records for singleton births, we created four cohorts: (1) all-births (2) randomly selected one birth per individual (3) first-observed birth per individual (4) primiparous-births (parity 1). Sampling of births was not conditional on cluster (ie, we did not sample all births by a given mother, but rather sampled individual births). Study outcomes were severe maternal morbidity (SMM) and preeclampsia/eclampsia, and the independent variables were self-reported race/ethnicity (as a social factor) and systemic lupus erythematosus. Comparing the four cohorts, we assessed the distribution of maternal characteristics, the prevalence of outcomes, overall and stratified by parity, and risk ratios (RR) for the associations of outcomes with independent variables. Among all-births, we then compared RR from three analytic strategies: with standard inference that assumes independently sampled births to the same mother in the model, with cluster-robust inference, and adjusting for parity. RESULTS: We observed minor differences in the population characteristics between the all-birth (N=2736,693), random-selection, and first-observed birth cohorts (both N=2284,660), with more substantial differences between these cohorts and the primiparous-births cohort (N=1054,684). Outcome prevalence was consistently lowest among all-births and highest among primiparous-births (eg, SMM 18.9 per 1000 births among primiparous-births vs 16.6 per 1000 births among all-births). When stratified by parity, outcome prevalence was always the lowest in births of parity 2 and highest among births of parity 1 for both outcomes. RR differed for study outcomes across all four cohorts, with the most pronounced differences between the primiparous-birth cohort and other cohorts. Among all-births, robust inference minimally impacted the confidence bounds of estimates, compared to the standard inference, that is, crude estimates (eg, lupus-SMM association: 4.01, 95% confidence intervals [CI] 3.54-4.55 vs 4.01, 95% CI 3.53-4.56 for crude estimate), while adjusting for parity slightly shifted estimates, toward the null for SMM and away from the null for preeclampsia/eclampsia. CONCLUSION: Researchers should consider the alignment between the methods they use, their sampling strategy, and their research question. This could include refining the research question to better match inference possible for available data, considering alternative data sources, and appropriately noting data limitations and resulting bias, as well as the generalizability of findings. If parity is an established effect modifier, stratified results should be presented.

Hydroxychloroquine and Pre-eclampsia in a Diverse Cohort of Women With Systemic Lupus Erythematosus.

OBJECTIVE: Patients with systemic lupus erythematosus (SLE) are at risk for pregnancy complications such as pre-eclampsia and eclampsia. These clinically important complications are associated with maternal morbidity, mortality, and postpartum cardiovascular disease. Some studies suggest that hydroxychloroquine (HCQ) may reduce pre-eclampsia risk in lupus pregnancy. Using a cohort of pregnant patients with prevalent SLE at Kaiser Permanente Northern California (KPNC), we investigated whether HCQ treatment in early pregnancy reduced the risk of pre-eclampsia or eclampsia. METHODS: Among pregnant patients with SLE from 2011 to 2020, we assessed HCQ treatment from three months before pregnancy through the first trimester. HCQ exposure was defined multiple ways to account for adherence and duration of treatment. Propensity scores accounted for multiple confounders and modified Poisson models estimated risk ratios (RRs) and 95% confidence intervals of the association between HCQ treatment and pre-eclampsia or eclampsia. Effect modification by pregestational hypertension, history of nephritis, and antiphospholipid antibody (aPL) status was investigated through stratified analysis. RESULTS: There were 399 pregnancies among 324 patients with SLE at KPNC between 2011 and 2020. Considering multiple exposure definitions, we consistently found a null association between HCQ and pre-eclampsia or eclampsia. The RRs were consistently lower among nullipara patients, and RRs were consistently protective but not statistically significant among the high-risk subgroup of patients with a history of nephritis, aPL positivity, or pregestational hypertension (for both nullipara and multipara patients). CONCLUSION: Although this study found no reduced risk of HCQ on pre-eclampsia or eclampsia, residual confounding may be attenuating the effect despite an integrated health care delivery system setting with detailed clinical data.

Impact of Incentives on Physician Participation in Research Surveys: Randomized Experiment.

BACKGROUND: Web-based surveys can be effective data collection instruments; however, participation is notoriously low, particularly among professionals such as physicians. Few studies have explored the impact of varying amounts of monetary incentives on survey completion. OBJECTIVE: This study aims to conduct a randomized study to assess how different incentive amounts influenced survey participation among neurologists in the United States. METHODS: We distributed a web-based survey using standardized email text to 21,753 individuals randomly divided into 5 equal groups (≈4351 per group). In phase 1, each group was assigned to receive either nothing or a gift card for US $10, $20, $50, or $75, which was noted in the email subject and text. After 4 reminders, phase 2 began and each remaining individual was offered a US $75 gift card to complete the survey. We calculated and compared the proportions who completed the survey by phase 1 arm, both before and after the incentive change, using a chi-square test. As a secondary outcome, we also looked at survey participation as opposed to completion. RESULTS: For the 20,820 emails delivered, 879 (4.2%) recipients completed the survey; of the 879 recipients, 622 (70.8%) were neurologists. Among the neurologists, most were male (412/622, 66.2%), White (430/622, 69.1%), non-Hispanic (592/622, 95.2%), graduates of American medical schools (465/622, 74.8%), and board certified (598/622, 96.1%). A total of 39.7% (247/622) completed their neurology residency more than 20 years ago, and 62.4% (388/622) practiced in an urban setting. For phase 1, the proportions of respondents completing the survey increased as the incentive amount increased (46/4185, 1.1%; 76/4165, 1.8%; 86/4160, 2.1%; 104/4162, 2.5%; and 119/4148, 2.9%, for US $0, $10, $20, $50, and $75, respectively; P<.001). In phase 2, the survey completion rate for the former US $0 arm increased to 3% (116/3928). Those originally offered US $10, $20, $50, and $75 who had not yet participated were less likely to participate compared with the former US $0 arm (116/3928, 3%; 90/3936, 2.3%; 80/3902, 2.1%; 88/3845, 2.3%; and 74/3878, 1.9%, for US $0, $10, $20, $50, and $75, respectively; P=.03). For our secondary outcome of survey participation, a trend similar to that of survey completion was observed in phase 1 (55/4185, 1.3%; 85/4165, 2%; 96/4160, 2.3%; 118/4162, 2.8%; and 135/4148, 3.3%, for US $0, $10, $20, $50, and $75, respectively; P<.001) and phase 2 (116/3928, 3%; 90/3936, 2.3%; 80/3902, 2.1%; 88/3845, 2.3%; and 86/3845, 2.2%, for US $0, $10, $20, $50, and $75, respectively; P=.10). CONCLUSIONS: As expected, monetary incentives can boost physician survey participation and completion, with a positive correlation between the amount offered and participation.

Feedback Loop Failure Modes in Medical Diagnosis: How Biases Can Emerge and Be Reinforced.

BACKGROUND: Medical diagnosis in practice connects to research through continuous feedback loops: Studies of diagnosed cases shape our understanding of disease, which shapes future diagnostic practice. Without accounting for an imperfect and complex diagnostic process in which some cases are more likely to be diagnosed correctly (or diagnosed at all), the feedback loop can inadvertently exacerbate future diagnostic errors and biases. FRAMEWORK: A feedback loop failure occurs if misleading evidence about disease etiology encourages systematic errors that self-perpetuate, compromising future diagnoses and patient care. This article defines scenarios for feedback loop failure in medical diagnosis. DESIGN: Through simulated cases, we characterize how disease incidence, presentation, and risk factors can be misunderstood when observational data are summarized naive to biases arising from diagnostic error. A fourth simulation extends to a progressive disease. RESULTS: When severe cases of a disease are diagnosed more readily, less severe cases go undiagnosed, increasingly leading to underestimation of the prevalence and heterogeneity of the disease presentation. Observed differences in incidence and symptoms between demographic groups may be driven by differences in risk, presentation, the diagnostic process itself, or a combination of these. We suggested how perceptions about risk factors and representativeness may drive the likelihood of diagnosis. Differing diagnosis rates between patient groups can feed back to increasingly greater diagnostic errors and disparities in the timing of diagnosis and treatment. CONCLUSIONS: A feedback loop between past data and future medical practice may seem obviously beneficial. However, under plausible scenarios, poorly implemented feedback loops can degrade care. Direct summaries from observational data based on diagnosed individuals may be misleading, especially concerning those symptoms and risk factors that influence the diagnostic process itself. HIGHLIGHTS: Current evidence about a disease can (and should) influence the diagnostic process. A feedback loop failure may occur if biased "evidence" encourages diagnostic errors, leading to future errors in the evidence base.When diagnostic accuracy varies for mild versus severe cases or between demographic groups, incorrect conclusions about disease prevalence and presentation will result without specifically accounting for such variability.Use of demographic characteristics in the diagnostic process should be done with careful justification, in particular avoiding potential cognitive biases and overcorrection.

Prognostic Value of the 2019 EULAR/American College of Rheumatology Systemic Lupus Erythematosus Classification Criteria to Renal Response One Year After Treatment in a Cohort With Childhood-Onset Lupus Nephritis.

OBJECTIVE: In 2019, the EULAR/American College of Rheumatology developed classification criteria for systemic lupus erythematosus (SLE). A positive correlation between summary score at diagnosis and SLE disease activity at five years has been noted in adult patients with lupus, but little is known among the pediatric population. We evaluated the prognostic value of higher summary scores and number of extrarenal domains at diagnosis (low/moderate number [1-5] vs high number [6-9]) to renal outcomes after one year of treatment in pediatric patients with lupus nephritis (LN). METHODS: This retrospective, single-center cohort study included 74 pediatric patients with LN. Published pediatric renal response definitions were used for our outcome measure (no, partial, and complete response). Descriptive statistics were reported, and an ordinal logistic regression estimated adjusted odds ratios (ORs) for renal response including 95% confidence intervals (CIs). RESULTS: Patients with high extrarenal domains had OR 1.47 (95% CI 0.55-2.91) of having a complete renal response compared to patients with low/moderate domains. Patients with a summary score <30 had OR 1.31 (95% CI 0.50-3.44) of having a complete renal response relative to a summary score ≥30, though a larger proportion of patients with a summary score of ≥30 had no renal response after one year of treatment. CONCLUSION: More extrarenal domains at diagnosis did not have a statistically significant impact on renal response at one year, nor did a higher summary score. However, a larger portion of patients with a summary score <30 achieved complete renal response compared to patients with a score ≥30.

The Problem of Pain in Lupus: Epidemiological Profiles of Patients Attending Multidisciplinary Pain Clinics.

INTRODUCTION: Patients with systemic lupus erythematosus (SLE) bear a significant burden of pain. We aimed to identify factors that distinguish patients with SLE referred to comprehensive pain clinics and those who are not. Characterizing this patient population will identify unmet needs in SLE management and inform efforts to improve pain care in rheumatology. METHODS: Among patients with SLE with ≥2 rheumatology clinic visits in a large hospital system from 1998 to 2023 (n = 1319), we examined factors that distinguished those who had at least one visit to multidisciplinary pain clinics (n = 77, 5.8%) from those who did not have any visits (n = 1242, 94.2%) with a focus on biopsychosocial and socioeconomic characteristics. We extracted demographic data and ICD-9/ICD-10 codes from the EHR. RESULTS: Patients with SLE attending the pain clinics exhibited characteristics including average older age (mean age ± SD: 54.1 ± 17.9 vs. 48.4 ± 19.9), a higher likelihood of relying on public health insurance (50.7% vs. 34.2%), and a greater representation of Black patients (9.1% vs. 4.4%) compared to SLE patients not seen in pain clinics. Nearly all patients seen at the pain clinics presented with at least one chronic overlapping pain condition (96.1% vs. 58.6%), demonstrated a higher likelihood of having a mental health diagnosis (76.7% vs. 42.4%), and exhibited a greater number of comorbidities (mean ± SD: 6.0 ± 3.0 vs. 2.9 ± 2.6) compared to those not attending the pain clinic. CONCLUSION: We found notable sociodemographic and clinical differences between these patient populations. Patients presenting with multiple comorbidities might benefit from further pain screening and referral to pain clinics to provide comprehensive care, and earlier referral could mitigate the development and progression of multimorbidities.

Hydroxychloroquine in lupus or rheumatoid arthritis pregnancy and risk of major congenital malformations: a population-based cohort study.

OBJECTIVES: To assess the infant risk of major congenital malformations (MCM) associated with first-trimester exposure to hydroxychloroquine (HCQ) among mothers with systemic lupus erythematosus (SLE) or rheumatoid arthritis (RA). METHODS: This population-based cohort study utilised Swedish nationwide registers and included all singleton births (2006-2021) among individuals with prevalent SLE or RA in Sweden. The exposure was filling ≥1 HCQ prescription during the first trimester. The outcome was infant MCM within one year of birth. Inverse probability of treatment weighting was applied to adjust for potential confounders (e.g. maternal smoking, body mass index, pregestational diabetes, and corticosteroids). Modified Poisson regression models with robust variance estimated risk ratios and 95% confidence intervals (RR 95%CI). RESULTS: We included 1,007 births (453 exposed) and 2,500 births (144 exposed) in the SLE and RA cohorts, respectively. The MCM risks in the SLE overall cohort, exposed, and unexposed groups were 3.6%, 3.7%, and 3.4%, respectively. The corresponding figures in the RA cohort were 4.4%, 5.6%, and 4.3%, respectively. The adjusted RRs (95%CI) were 1.29 (0.65-2.56) in the SLE cohort, 1.32 (0.56-3.13) in the RA cohort, and 1.30 (0.76-2.23) in the pooled analysis. The adjusted risk difference (exposed vs unexposed) was small (0.9% in SLE and 1.3% in RA). Sensitivity analyses examining different exposure and outcome windows yielded similar findings. CONCLUSIONS: First-trimester exposure to HCQ was not associated with a significantly increased risk of MCM. HCQ's benefits may outweigh the risks in managing SLE or RA during pregnancy.

Hydroxychloroquine in Lupus Pregnancy and Risk of Preeclampsia.

OBJECTIVE: Systemic lupus erythematosus (SLE) disproportionately affects women during childbearing years, and hydroxychloroquine (HCQ) is the standard first-line treatment. Preeclampsia complicates up to one-third of pregnancies in lupus patients, although reports vary by parity and multifetal gestation. We investigated whether taking HCQ early in pregnancy may reduce the risk of preeclampsia. METHODS: We studied 1,068 live birth singleton pregnancies among 1,020 privately insured patients with SLE (2007-2016). HCQ treatment was defined as three months preconception through the first trimester, and prescription fills were a proxy for taking HCQ. Modified Poisson regression estimated risk ratios (RRs) and 95% confidence intervals (CIs), stratified by parity. Propensity scores accounted for confounders, and stratified analyses examined effect modification. RESULTS: Approximately 15% of pregnant patients were diagnosed with preeclampsia. In 52% of pregnancies, patients had one or more HCQ fills. Pregnant patients exposed to HCQ had more comorbidities, SLE activity, and azathioprine treatment. We found no evidence of a statistical association between HCQ and preeclampsia among nulliparous (RR 1.26 [95% CI 0.82-1.93]) and multiparous pregnancies (RR 1.20 [95% CI 0.80-1.70]). Additional controls for confounding decreased the RRs toward the null (nulliparous pregnancy, propensity score-adjusted [PS-adj] RR 1.09 [95% CI 0.68-1.76]; multiparous pregnancy, PS-adj RR 1.01 [95% CI 0.66-1.53]). CONCLUSION: Using a large insurance-based database, we did not observe a decreased risk of preeclampsia associated with HCQ treatment in pregnancy, although we cannot rule out residual and unmeasured confounding and misclassification. Further studies leveraging large population-based data and prospective collection could characterize how HCQ influences preeclampsia risk in pregnant patients with SLE and among persons at greater risk of hypertensive disorders of pregnancy.

Pregnancy Outcomes in a Diverse US Lupus Cohort.

OBJECTIVE: Although the population of patients with systemic lupus erythematosus (SLE) is racially and ethnically diverse, many study populations are homogeneous. Further, data are often lacking on critical factors, such as antiphospholipid antibodies (aPLs). We investigated live birth rates in patients with SLE at Kaiser Permanente Northern California, including race and ethnicity and aPL data. METHODS: Electronic health records of pregnancies with outcomes observed from 2011 to 2020 were identified among patients with SLE. Prevalent SLE was defined as two or more International Classification of Diseases-coded visits seven or more days apart before the last menstrual period. We summarized patient characteristics, medication orders, health care use, and medication use. Pregnancy outcomes (live birth, stillbirth, spontaneous abortion, ectopic pregnancy, and molar pregnancy) were presented overall and stratified by race and ethnicity, aPL status, and nephritis history. RESULTS: We identified 657 pregnancies among 453 patients with SLE. The cohort was diverse, reflecting the Northern California population (27% Asian, 26% Hispanic, 26% Non-Hispanic White, 13% Non-Hispanic Black, 5% multiracial, and approximately 2% Pacific Islander and Native American). Approximately 74% of observed pregnancies ended in live birth, 23% resulted in spontaneous abortion, 2% were ectopic or molar pregnancies, and <1% were stillbirths. There was limited variability in live births by race and ethnic group (72%-79%), aPL status (69.5%-77%), and nephritis history (71%-75%). CONCLUSION: Our findings are consistent with previous studies; however, some methodologic differences may yield a range of live birth rates. We found that approximately 74% of pregnancies in patients with SLE ended in live birth, with modest variability in spontaneous abortion by race and ethnicity, nephritis history, and aPL status.

The Problem of Pain in Rheumatology: Variations in Case Definitions Derived From Chronic Pain Phenotyping Algorithms Using Electronic Health Records.

OBJECTIVE: The aim of this study was to investigate and compare different case definitions for chronic pain to provide estimates of possible misclassification when researchers are limited by available electronic health record and administrative claims data, allowing for greater precision in case definitions. METHODS: We compared the prevalence of different case definitions for chronic pain (N = 3042) in patients with autoimmune rheumatic diseases. We estimated the prevalence of chronic pain based on 15 unique combinations of pain scores, diagnostic codes, analgesic medications, and pain interventions. RESULTS: Chronic pain prevalence was lowest in unimodal pain phenotyping algorithms: 15% using analgesic medications, 18% using pain scores, 21% using pain diagnostic codes, and 22% using pain interventions. In comparison, the prevalence using a well-validated phenotyping algorithm was 37%. The prevalence of chronic pain also increased with the increasing number (bimodal to quadrimodal) of phenotyping algorithms that comprised the multimodal phenotyping algorithms. The highest estimated chronic pain prevalence (47%) was the multimodal phenotyping algorithm that combined pain scores, diagnostic codes, analgesic medications, and pain interventions. However, this quadrimodal phenotyping algorithm yielded a 10% overestimation of chronic pain compared to the well-validated algorithm. CONCLUSION: This is the first empirical study to our knowledge that shows that established common modes of phenotyping chronic pain can lead to substantially varying estimates of the number of patients with chronic pain. These findings can be a reference for biases in case definitions for chronic pain and could be used to estimate the extent of possible misclassifications or corrections in using datasets that cannot include specific data elements.

Assessing Biases in Medical Decisions via Clinician and AI Chatbot Responses to Patient Vignettes.

This cross-sectional study compares clinician and artificial intelligence (AI) chatbot responses to patient vignettes used to identify bias in medical decisions.

Trends in adverse pregnancy outcomes among women with systemic sclerosis in the United States.

OBJECTIVES: We sought to examine temporal trends in adverse pregnancy outcomes among SSc pregnancies in a large nationwide sample. METHODS: We used the National Inpatient Sample (NIS) database from 2000 - 2017 to derive national estimates of delivery-associated hospitalizations in the United States among patients with SSc. Each SSc delivery was matched to 100 non-SSc deliveries by age, delivery year, and race. We evaluated adverse pregnancy outcomes (APOs) including maternal and fetal death, cesarean delivery, hospital length of stay, preterm delivery, intrauterine growth restriction, and hypertensive disorders of pregnancy. We used multivariable regression models with an interaction term between SSc and year and adjusting for race, advanced maternal age, diabetes mellitus, and pre-existing hypertension to evaluate temporal trends in APOs among SSc and non-SSc deliveries. RESULTS: From 2000 to 2017, there were 3740 delivery-associated hospitalizations for women with SSc. SSc was associated with an increased risk of all APOs compared to non-SSc deliveries. Fetal death declined in SSc deliveries from 49.0 per 1000 delivery-related admissions in 2000 - 2005 to 16.2 per 1000 in 2012 - 2017. There was a significant difference in trends for fetal death between SSc and non-SSc deliveries (p = 0.043), but the trends for other APOs did not differ between the two groups. CONCLUSIONS: In this large nationwide sample, the risk of fetal death among women with SSc markedly improved over the past 18 years. The risk for other APOs remained high in SSc deliveries compared to non-SSc deliveries, and further studies are needed to determine what strategies can improve these outcomes.

Epidemiology and Damage Accrual of Systemic Lupus Erythematosus in Central Sweden: A Single-Center Population-Based Cohort Study Over 14 Years From Östergötland County.

OBJECTIVE: Variations in prevalence and incidence of systemic lupus erythematosus (SLE) within a geographically defined area of central Sweden over a time period of 14 years were examined. Longitudinal differences in disease activity, laboratory test results, and damage accrual were investigated. METHODS: Adults (aged ≥18 years) residing in Östergötland County between 2008 and 2021 (mean adult population: 357,000 citizens) with confirmed SLE were identified and followed prospectively until death, December 31, 2021, or emigration. We estimated annual incidence per 100,000 inhabitants stratified by sex and age. Linear regression with year of diagnosis as the outcome assessed whether each clinical measurement at diagnosis varied over time. RESULTS: Prevalence on December 31, 2021, was 71.5 of 100,000 (87% female). One hundred twenty-six new cases were identified during the study period, yielding a mean annual incidence of 3.0 of 100,000 inhabitants; this was higher in females (4.8/100,000) than in males (1.2/100,000). Mean age at diagnosis was 43.7 years (SD 17.3). Age at diagnosis and disease activity measures increased over the calendar year of diagnosis (P < 0.05) whereas disease manifestations, including lupus nephritis, did not vary significantly. Accrual of organ damage was demonstrated over time since diagnosis and stratified by sex, lupus nephritis, and corticosteroid-related damage. Approximately 40% developed damage within 5 years. CONCLUSION: SLE prevalence and incidence estimates remained constant over 14 years, and disease phenotypes at SLE onset were similar. SLE was diagnosed also among older individuals with a smaller female-to-male ratio. Estimates of prevalence and incidence were comparable to previous Scandinavian reports but lower than observed in registry data from the US and the UK.

Biologics Initiation in Rheumatoid Arthritis by Race and Ethnicity: Results From a Randomized Survey Study.

OBJECTIVE: To investigate whether the race and ethnicity of a patient with rheumatoid arthritis (RA) influences rheumatologists' likelihood of choosing to initiate biologic disease-modifying antirheumatic drug (bDMARD) treatment. METHODS: We conducted a randomized survey experiment in which identical brief case vignettes of hypothetical patients with RA were sent to US rheumatologists (respondents). Three of the four cases included some level of treatment decision ambiguity whereas the fourth case strongly favored bDMARD initiation. Each respondent was shown the four case vignettes, with the race and ethnicity (Black, Hispanic, White) randomly assigned for each case. Each vignette offered multiple choices for next therapeutic step, which we summarized using frequencies and proportions by race and ethnicity version. RESULTS: Among 159 US rheumatologists, we found that for the three cases with some level of treatment decision ambiguity, there was little to no variability in the proportions of respondents who chose to start a biologic for the Black and Hispanic variants (cases 1, 2, and 3). For case 4, respondents generally agreed to start a biologic with some minimal variability across the variants (92.6% for the Black version, 98.1% for the Hispanic version, and 96.2% for the White version). CONCLUSION: There are conflicting data regarding bDMARD use and initiation in patients with RA based on the sex and race of the patient. This work adds to this conversation by examining how the next therapeutic step chosen by rheumatologists varied by the race and ethnicity of the hypothetical patient.