Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Citations 3
Age‐specific Incidence of Systemic Lupus Erythematosus in the United States: A Meta‐Analysis of Data from the Centers for Disease Control and Prevention Lupus Registries
Objective Epidemiologic estimates for age of systemic lupus erythematosus (SLE) diagnosis are limited, particularly for men and racial and ethnic subpopulations in the United States. Leveraging the Centers for Disease Control and Prevention (CDC) National Lupus Registry network of population‐based SLE registries, meta‐analyses were performed estimating age‐specific incidence of SLE by sex, race, and ethnicity. Methods The CDC network of SLE registries includes five state‐based registries, plus a sixth Indian Health Service registry. Incidence periods spanned calendar years 2002‐2018. Registries provided age‐specific incidence of SLE, fulfilling the American College of Rheumatology (ACR) SLE classification criteria, per 100,000 person‐years, stratified by sex, race, and ethnicity for the meta‐analyses. Results Incidence rates among women were highest for those aged 30‐39 (12.7, 95%CI: 9.5‐16.8), while rates among men were highest for those aged 60‐69 (2.1, 95%CI: 1.3‐3.4). Black women aged 20‐39 had the highest SLE incidence rates (23.6, 95%CI: 20.7‐26.8). Among women diagnosed with SLE before age 20, incidence was highest among Asian (6.5, 95%CI: 2.8‐15.2) individuals. Among women diagnosed with SLE after age 60, incidence was highest among American Indian/Alaska Native (9.4, 95%CI: 3.4‐15.4) individuals. Weighted percentages show 10.0% of those with SLE were diagnosed before age 20, while 15.1% were diagnosed after age 60. The largest proportion of individuals with SLE, 22.1%, were diagnosed between 30‐39 years. Conclusions This study provides comprehensive sex‐ and race‐specific estimates of age at SLE diagnosis. The substantial later in life SLE incidence among men and disease burden in pediatric and older populations should raise awareness in considering SLE in the differential diagnosis in previously underrecognized groups.
Implementation outcomes of a patient decision-aid in a diverse population with systemic lupus erythematosus in 15 US rheumatology clinics
Abstract Objective The objective of this study was to examine the clinical outcomes during the implementation of a self-administered patient decision-aid (PtDA) for lupus. Methods We provided an effective computerized lupus PtDA in 15 rheumatology outpatient clinics 2019–2024 (including the COVID pandemic). We undertook Organizational Readiness to Implement Change Surveys (ORICs) and Team Learning and Psychological Safety Surveys (TLPSSs) at baseline. The primary study outcome objective measure, percent penetration/reach, was defined as the number of patients who viewed the lupus PtDA at the end of the study, divided by the total number of eligible patients (times 100). We used validated clinical personnel surveys to examine the perceived lupus PtDA appropriateness, acceptability, feasibility, success, and permanence, at 4 months, 12 months and 24 months post-PtDA implementation. Results Among the sites, the clinical personnels’ (n = 184) baseline ORIC commitment and efficacy scores (a 0–5 scale, higher = better) ranged from 3.5 to 4.2, and 3.4 to 4.4, respectively; the TLPSS scores (a 0–7 scale, higher = better) were 3.9–5.5 for internal learning, 3.7–5.6 for external learning, and 4.3–5.5 for psychological safety. The penetration (primary outcome) among 15 geographically diverse US rheumatology clinics ranged from 3% to 44%. We found that the total number of providers in the clinic was positively associated with higher penetration. Clinical personnel–perceived lupus PtDA outcomes were optimal at 4 months (all scale scores ranged from 1 to 5, higher = better): (i) appropriateness, 3.43 (s.d. 0.86); (ii) acceptability, 3.53 (s.d. 0.83); (iii) feasibility, 3.44 (s.d. 0.71); (iv) success, 3.41 (s.d. 0.73); and (v) permanence, 3.22 (s.d. 0.74). Conclusion We implemented a lupus PtDA with varied success rates during the COVID pandemic; more providers were associated with higher clinic penetration. Clinical personnel perceived high lupus PtDA appropriateness, acceptability, feasibility, success, and permanence that persisted up to 24 months. Trial Registration ClinicalTrials.gov, http://clinicaltrials.gov, NCT03735238.
Multiplicative Impact of Adverse Social Determinants of Health on Outcomes in Lupus Nephritis: A Meta‐analysis and Systematic Review
Objective Social determinants of health (SDoH) likely contribute to outcome disparities in lupus nephritis (LN). Understanding the overall burden and contribution of each domain could guide future health equity–focused interventions to improve outcomes and reduce disparities in LN. Objectives of this meta‐analysis were to 1) determine the association of overall SDoH and specific SDoH domains on LN outcomes and 2) develop a framework for the multidimensional impact of SDoH on LN outcomes. Methods We performed a comprehensive search of studies measuring associations between SDoH and LN outcomes. We examined pooled odds of poor LN outcomes including death, end‐stage kidney disease, or cardiovascular disease in patients with and without adverse SDoH. Additionally, we calculated the pooled odds ratios of outcomes by four SDoH domains: individual (eg, insurance), health care (eg, fragmented care), community (eg, neighborhood socioeconomic status), and health behaviors (eg, smoking). Results Among 531 screened studies, 31 meeting inclusion criteria and 13 with raw data were included in meta‐analysis. Pooled odds of poor outcomes were 1.47‐fold higher in patients with any adverse SDoH. Patients with adverse SDoH in individual and health care domains had 1.64‐fold and 1.77‐fold higher odds of poor outcomes. We found a multiplicative impact of having two or more adverse SDoH on LN outcomes. Black patients with public insurance and fragmented care had 12‐fold higher odds of poor LN outcomes. Conclusion Adverse SDoH is associated with poor LN outcomes. Having two or more adverse SDoH, specifically in different SDoH domains, had a multiplicative impact leading to worse LN outcomes, widening disparities. image