ABSTRACT
En fonction des séries, jusque 40 % des patients atteints de lupus systémique (LS) présenteraient des auto-anticorps anti-INFα. Ces auto-anticorps sont pour la plupart neutralisants et donc potentiellement protecteurs des atteintes sévères de la maladie lupique. À l'inverse, les auto-anticorps anti-INFα prédisposent aux infections et notamment aux formes sévères d'infections virales à SARS-CoV2. L'objectif de notre étude était de caractériser, chez les patients atteints de LS, le phénotype de la maladie lupique et le risque infectieux associés à la présence d'auto-anticorps anti-INFα. Tous les patients ayant un lupus systémique admis au sein de 5 services spécialisés d'un centre hospitalo-universitaire entre 1er janvier et le 30 novembre 2020 ont été inclus et analysés de manière rétrospective. Le diagnostic de LS était conforme aux critères internationaux ACR/EULAR 2019. La recherche et la quantification des auto-anticorps IgG anti-INFα étaient réalisées par ELISA sur le sérum prélevé dans le cadre des soins à l'admission. Les caractéristiques démographiques, les antécédents médicaux, les données cliniques et biologiques, et les traitements reçus étaient documentés à partir des dossiers médicaux. La recherche auto-anticorps IgG anti-INFα a été réalisée chez 180 patients, dont 157 femmes (87,2 %), d'un âge médian de 44,5 ans [34–54]. La durée médiane d'évolution du LS était de 10 ans [4–20] pour une médiane de score d'activité SLEDAI à l'admission de 2 [0–4]. Cinquante-quatre patients (30 %) avaient un antécédent de néphrite lupique. Cent quarante-quatre (80 %) recevaient ou avaient reçu une corticothérapie prolongée et 99 (55 %) un traitement immunosuppresseur. Un antécédent d'infection était rapporté dans 127 cas chez 95 (52,8 %) patients. Les infections étaient principalement bactériennes (53,5 % des cas) et virales (31,5 %). Quinze patients avaient eu un COVID-19 non sévère. Neufs patients avaient un antécédent de tuberculose maladie. La présence d'auto-anticorps IgG anti-INFα était détectée chez 20 patients (11,1 %) pour un titre d'anti-IFNα compris entre 10 et 103 U/mL (médiane = 15). L'âge, le genre, le phénotype lupique et le passé infectieux ne différaient pas statistiquement entre les patients avec ou sans auto-anticorps anti-INFα à l'exception d'une plus grande fréquence de tuberculose maladie chez les patients ayant des anti-IFNα (20 % vs 3,1 %, p = 0,01). La prévalence des auto-anticorps dirigés contre l'IFNα est élevée chez les patients atteints de lupus systémique et est associée à une plus grande fréquence de tuberculose. (French) [ FROM AUTHOR] Copyright of Revue de Médecine Interne is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Background: An increased risk of severe COVID-19 outcomes may be seen in patients with autoimmune diseases on moderate to high daily doses of glucocorticoids, as well as in those with comorbidities. However, specific information about COVID-19 outcomes in SLE is scarce. Objectives: To determine the characteristics associated with severe COVID-19 outcomes in a multi-national cross-sectional registry of COVID-19 patients with SLE. Methods: SLE adult patients from a physician-reported registry of the COVID-19 GRA were studied. Variables collected at COVID-19 diagnosis included age, sex, race/ethnicity, region, comorbidities, disease activity, time period of COVID-19 diagnosis, glucocorticoid (GC) dose, and immunomodulatory therapy. Immunomodulatory therapy was categorized as: antimalarials only, no SLE therapy, traditional immunosuppressive (IS) drug monotherapy, biologics/targeted synthetic IS drug monotherapy, and biologic and traditional IS drug combination therapy. We used an ordinal COVID-19 severity outcome defined as: not hospitalized/hospitalized without supplementary oxygen;hospitalized with non-invasive ventilation;hospitalized with mechanical ventilation/extracorporeal membrane oxygenation;and death. An ordinal logistic regression model was constructed to assess the association between demographic characteristics, comorbidities, medications, disease activity and COVID-19 severity. This assumed that the relationship between each pair of outcome groups is of the same direction and magnitude. Results: Of 1069 SLE patients included, 1047 (89.6%) were female, with a mean age of 44.5 (SD: 14.1) years. Patient outcomes included 815 (78.8%) not hospitalized/hospitalized without supplementary oxygen;116 (11.2) hospitalized with non-invasive ventilation, 25 (2.4%) hospitalized with mechanical ventilation/ extracorporeal membrane oxygenation and 78 (7.5%) died. In a multivariate model (n=804), increased age [OR=1.03 (1.01, 1.04)], male sex [OR =1.93 (1.21, 3.08)], COVID-19 diagnosis between June 2020 and January 2021 (OR =1.87 (1.17, 3.00)), no IS drug use [OR =2.29 (1.34, 3.91)], chronic renal disease [OR =2.34 (1.48, 3.70)], cardiovascular disease [OR =1.93 (1.34, 3.91)] and moderate/ high disease activity [OR =2.24 (1.46, 3.43)] were associated with more severe COVID-19 outcomes. Compared with no use of GC, patients using GC had a higher odds of poor outcome: 0-5 mg/d, OR =1.98 (1.33, 2.96);5-10 mg/d, OR =2.88 (1.27, 6.56);>10 mg/d, OR =2.01 (1.26, 3.21) (Table 1). Conclusion: Increased age, male sex, glucocorticoid use, chronic renal disease, cardiovascular disease and moderate/high disease activity at time of COVID-19 diagnosis were associated with more severe COVID-19 outcomes in SLE. Potential limitations include possible selection bias (physician reporting), the cross-sectional nature of the data, and the assumptions underlying the outcomes modelling.
ABSTRACT
Background: COVID19 due to SARS-CoV-2 infection implies an important anti-viral immune response leading to a major inflammatory syndrome with increased pro-inflammatory cytokine levels (i.e. the cytokine storm paradigm). The impact of a preexisting interstitial lung disease (ILD) on the morbi-mortality of COVID-19 is unclear. An increased mortality rate has been identified in studies that included a limited number of patients with ILD from various etiologies. To date, no studies have investigated the severity of COVID-19 in patients with preexisting ILD in a large population of rheumatic and musculoskeletal diseases (RMD-ILD). Since March 18th, 2020, the French RMD COVID19 dataset (NCT04353609) includes patients with an RMD and SARS-Cov-2 infection. Objectives: To assess the impact of a preexisting ILD on COVID-19 morbi-mortality within the French RMD COVID-19 dataset. Methods: Patients from the French RMD COVID-19 dataset were included in the analysis. COVID-19 diagnosis was established by a positive SARS-CoV-2 PCR test and/or typical symptoms or chest CT scans pattern during the period of the pandemic. Baseline phenotypic characteristics of the RMD including pre-existing ILD prior to the SARS-CoV-2 infection were collected. COVID-19 evolution was characterized as benign (ambulatory care), moderate (hospitalization outside intensive care unit [ICU]) and severe (hospitalization in ICU). Association between the ILD status and the severity and mortality rate of COVID-19 was assessed using multivariable logistic regression adjusted on sex, age, body mass index and diabetes. Results: By June 26, 2020, 897 patients were included. Pre-existing ILD was reported in 27 patients (3%): 11 patients with systemic sclerosis, 8 with rheumatoid arthritis, 2 with auto-immune myositis, 2 with mixed connective tissue disease and 4 with other RMD. Among these 27 patients (11 male, mean age 63.1 ± 16.4 y/o, 56.5% having a usual interstitial pneumonia HRCT pattern), 22 had severe infection. Death related to COVID-19, was observed in 58 patients with RMD without ILD (7.1%) and in 10 patients with RMD-ILD (37%). Having a preexisting ILD was found to be independently associated with an increased risk of severe COVID-19 (adjusted OR=7.6 [2.9 -20.2], P<0.001) and an increased mortality rate (adjusted OR=12.3 [3.8 -39.2], P<0.001). Conclusion: In RMD patients with SARS-CoV-2 infection, preexisting ILD was associated with an increased risk to severe COVID-19 and related mortality. Our findings suggest that RMD-ILD patients should be prioritized for COVID-19 vaccination according to the high morbi-mortality rate during SARS-CoV-2 infection.
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Background: Targeted DMARDs may dampen the inflammatory response in COVID-19, perhaps leading to a less severe clinical course. However, some DMARD targets may impair viral immune defenses. Due to sample size limitations, previous studies of DMARD use and COVID-19 outcomes have combined several heterogeneous rheumatic diseases and medications, investigating a single outcome (e.g., hospitalization). Objectives: To investigate the associations of baseline use of biologic or targeted synthetic (b/ts) DMARDs with a range of poor COVID-19 outcomes in rheumatoid arthritis (RA). Methods: We analyzed voluntarily reported cases of COVID-19 in patients with rheumatic diseases in the COVID-19 Global Rheumatology Alliance physician registry (March 12, 2020 -January 6, 2021). We investigated RA treated with b/ tsDMARD at the clinical onset of COVID-19 (baseline): abatacept (ABA), rituximab (RTX), Janus kinase inhibitors (JAK), interleukin-6 inhibitors (IL6i), or tumor necrosis factor inhibitors (TNFi). The outcome was an ordinal scale (1-4) for COVID-19 severity: 1) no hospitalization, 2) hospitalization without oxygen need, 3) hospitalization with any oxygen need or ventilation, or 4) death. Baseline covariates including age, sex, smoking, obesity, comorbidities (e.g., cardiovascular disease, cancer, interstitial lung disease [ILD]), concomitant non-biologic DMARD use, glucocorticoid use/ dose, RA disease activity, country, and calendar time were used to estimate propensity scores (PS) for b/tsDMARD. The primary analysis used PS matching to compare each drug class to TNFi. Ordinal logistic regression estimated ORs for the COVID-19 severity outcome. In a sensitivity analysis, we used traditional multivariable ordinal logistic regression adjusting for covariates without matching. Results: Of the 1,673 patients with RA on b/tsDMARDs at the onset of COVID-19, (mean age 56.7 years, 79.6% female) there were n=154 on ABA, n=224 on RTX, n=306 on JAK, n=180 on IL6i, and n=809 on TNFi. Overall, 498 (34.3%) were hospitalized and 112 (6.7%) died. Among all patients, 353 (25.3%) were ever smokers, 197 (11.8%) were obese, 462 (27.6%) were on glucocorticoids, 1,002 (59.8%) were on concomitant DMARDs, and 299 (21.7%) had moderate/ high RA disease activity. RTX users were more likely than TNFi users to have ILD (11.6% vs. 1.7%) and history of cancer (7.1% vs. 2.0%);JAK users were more likely than TNFi users to be obese (17.3% vs. 9.0%). After propensity score matching, RTX was strongly associated with greater odds of having a worse outcome compared to TNFi (OR 3.80, 95% CI 2.47, 5.85;Figure). Among RTX users, 42 (18.8%) died compared to 27 (3.3%) of TNFi users (Table). JAK use was also associated with greater odds of having a worse COVID-19 severity (OR 1.52, 95%CI 1.02, 2.28). ABA or IL6i use were not associated with COVID-19 severity compared to TNFi. Results were similar in the sensitivity analysis and after excluding cancer or ILD. Conclusion: In this large global registry of patients with RA and COVID-19, baseline use of RTX or JAK was associated with worse severity of COVID-19 compared to TNFi use. The very elevated odds for poor COVID-19 outcomes in RTX users highlights the urgent need for risk-mitigation strategies, such as the optimal timing of vaccination. The novel association of JAK with poor COVID-19 outcomes requires replication.
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AIM: To determine whether findings from lung ultrasound and chest high-resolution computed tomography (HRCT) correlate when evaluating COVID-19 pulmonary involvement. MATERIALS AND METHODS: The present prospective single-centre study included consecutive symptomatic patients with reverse transcription polymerase chain reaction (RT-PCR)-proven COVID-19 who were not in the intensive care unit. All patients were assessed using HRCT and ultrasound of the lungs by distinct operators blinded to each other's findings. The number of areas (0-12) with B-lines and/or consolidations was evaluated using ultrasound and compared to the percentage and classification (absent or limited, <10%; moderate, 10-25%; extensive, 25-50%; severe, 50-75%; critical, >75%) of lung involvement on chest HRCT. RESULTS: Data were analysed for 21 patients with COVID-19 (median [range] age 65 [37-90] years, 76% male) and excellent correlation was found between the ultrasound score for B-lines and the classification (p<0.01) and percentage of lung involvement on chest HRCT (r=0.935, p<0.001). In addition, the ultrasound score correlated positively with supplemental oxygen therapy (r=0.45, p=0.041) and negatively with minimal oxygen saturation at ambient air (r=-0.652, p<0.01). CONCLUSION: The present study suggests that among COVID-19 patients, lung ultrasound and HRCT findings agree in quantifying lung involvement and oxygen parameters. In the context of the COVID-19 pandemic, lung ultrasound could be a relevant alternative to chest HRCT.