Comparing pregnancy outcomes in patients with Systemic Lupus Erythematosus (SLE) and Undifferentiated Connective Tissue Disease (UCTD): a descriptive cohort study.

BACKGROUND: Females diagnosed with systemic lupus erythematosus (SLE) face an elevated risk of adverse pregnancy outcomes (APOs). However, the evidence regarding whether a similar association exists in patients with undifferentiated connective tissue disease (UCTD) is inconclusive. METHODS: We conducted a retrospective review (2006-2019) of pregnancy outcomes among patients with SLE (n = 51) and UCTD (n = 20) within our institution. We examined the occurrence of various APOs, encompassing miscarriage, stillbirth, termination, preterm birth, pre-eclampsia, eclampsia, HELLP syndrome, intrauterine growth restriction, abruption placentae, congenital heart block, or other cardiac abnormalities. RESULTS: The mean age at pregnancy was 35 ±â€¯7.0 years for patients with SLE and 35 ±â€¯6.8 years for those with UCTD (p = 0.349). The proportion of Caucasian women was 47% in SLE and 80% in UCTD. Pregnancies in both groups were planned (81% in SLE and 77% in UCTD), and patients presented with inactive disease at conception (96% in SLE and 89% in UCTD). Hydroxychloroquine at conception was utilized by 86% of women with SLE, in contrast to 36% in the UCTD group. Both, SLE and UCTD cohorts exhibited low rates of disease flares during pregnancy and/or puerperium (14% vs. 10%). The incidence of APOs was 15.6% in SLE patients compared to 5% in those with UCTD (Risk difference 19.5%; 95% confidence interval: -3.9 to 43.1; p = 0.4237). CONCLUSION: Our study underscores the importance of strategic pregnancy planning and the maintenance of appropriate treatment throughout pregnancy to ensure optimal disease management and minimize adverse outcomes in both SLE and UCTD pregnancies.

Stratification of Patients With Sjögren's Syndrome and Patients With Systemic Lupus Erythematosus According to Two Shared Immune Cell Signatures, With Potential Therapeutic Implications.

OBJECTIVE: Similarities in the clinical and laboratory features of primary Sjögren's syndrome (SS) and systemic lupus erythematosus (SLE) have led to attempts to treat patients with primary SS or SLE with similar biologic therapeutics. However, the results of many clinical trials are disappointing, and no biologic treatments are licensed for use in primary SS, while only a few biologic agents are available to treat SLE patients whose disease has remained refractory to other treatments. With the aim of improving treatment selections, this study was undertaken to identify distinct immunologic signatures in patients with primary SS and patients with SLE, using a stratification approach based on immune cell endotypes. METHODS: Immunophentyping of 29 immune cell subsets was performed using flow cytometry in peripheral blood from patients with primary SS (n = 45), patients with SLE (n = 29), and patients with secondary SS associated with SLE (SLE/SS) (n = 14), all of whom were considered to have low disease activity or be in clinical remission, and sex-matched healthy controls (n = 31). Data were analyzed using supervised machine learning (balanced random forest, sparse partial least squares discriminant analysis), logistic regression, and multiple t-tests. Patients were stratified by K-means clustering and clinical trajectory analysis. RESULTS: Patients with primary SS and patients with SLE had a similar immunologic architecture despite having different clinical presentations and prognoses. Stratification of the combined primary SS, SLE, and SLE/SS patient cohorts by K-means cluster analysis revealed 2 endotypes, characterized by distinct immune cell profiles spanning the diagnoses. A signature of 8 T cell subsets that distinctly differentiated the 2 endotypes with high accuracy (area under the curve 0.9979) was identified in logistic regression and machine learning models. In clinical trajectory analyses, the change in damage scores and disease activity levels from baseline to 5 years differed between the 2 endotypes. CONCLUSION: These findings identify an immune cell toolkit that may be useful for differentiating, with high accuracy, the immunologic profiles of patients with primary SS and patients with SLE as a way to achieve targeted therapeutic approaches.

COVID-19-associated hyperinflammation and escalation of patient care: a retrospective longitudinal cohort study.

BACKGROUND: A subset of patients with severe COVID-19 develop a hyperinflammatory syndrome, which might contribute to morbidity and mortality. This study explores a specific phenotype of COVID-19-associated hyperinflammation (COV-HI), and its associations with escalation of respiratory support and survival. METHODS: In this retrospective cohort study, we enrolled consecutive inpatients (aged ≥18 years) admitted to University College London Hospitals and Newcastle upon Tyne Hospitals in the UK with PCR-confirmed COVID-19 during the first wave of community-acquired infection. Demographic data, laboratory tests, and clinical status were recorded from the day of admission until death or discharge, with a minimum follow-up time of 28 days. We defined COV-HI as a C-reactive protein concentration greater than 150 mg/L or doubling within 24 h from greater than 50 mg/L, or a ferritin concentration greater than 1500 µg/L. Respiratory support was categorised as oxygen only, non-invasive ventilation, and intubation. Initial and repeated measures of hyperinflammation were evaluated in relation to the next-day risk of death or need for escalation of respiratory support (as a combined endpoint), using a multi-level logistic regression model. FINDINGS: We included 269 patients admitted to one of the study hospitals between March 1 and March 31, 2020, among whom 178 (66%) were eligible for escalation of respiratory support and 91 (34%) patients were not eligible. Of the whole cohort, 90 (33%) patients met the COV-HI criteria at admission. Despite having a younger median age and lower median Charlson Comorbidity Index scores, a higher proportion of patients with COV-HI on admission died during follow-up (36 [40%] of 90 patients) compared with the patients without COV-HI on admission (46 [26%] of 179). Among the 178 patients who were eligible for full respiratory support, 65 (37%) met the definition for COV-HI at admission, and 67 (74%) of the 90 patients whose respiratory care was escalated met the criteria by the day of escalation. Meeting the COV-HI criteria was significantly associated with the risk of next-day escalation of respiratory support or death (hazard ratio 2·24 [95% CI 1·62-2·87]) after adjustment for age, sex, and comorbidity. INTERPRETATION: Associations between elevated inflammatory markers, escalation of respiratory support, and survival in people with COVID-19 indicate the existence of a high-risk inflammatory phenotype. COV-HI might be useful to stratify patient groups in trial design. FUNDING: None.