Factors Associated With Posttraumatic Stress Symptoms 3 and 6 Months After Hospitalization for COVID-19: A Longitudinal Multicenter Study.

Objective: To identify factors associated with posttraumatic stress symptoms (PTSS) 3 and 6 months after the discharge of patients hospitalized for COVID-19.Methods: Patients hospitalized for COVID-19 between March 1 and July 31, 2020, were included in a longitudinal study. Clinical assessments were conducted with online auto-questionnaires. PTSS were assessed with the Posttraumatic Stress Disorder Checklist Scale (PCLS). We screened for several putative factors associated with PTSS, including socio-demographic status, hospitalization in an intensive care unit, history of psychiatric disorder, the Hospital Anxiety and Depression Scale, the Peritraumatic Dissociative Experiences Questionnaire, and the home-to-hospital distance. Bivariate and multilinear regression analyses were performed to evaluate their association with PTSS.Results: 119 patients were evaluated 3 months after hospital discharge, and a subset of 94 were evaluated 6 months after discharge. The prevalence of PTSS was 31.9% after 3 months and 30.9% after 6 months. Symptoms of anxiety and depression and history of psychiatric disorder were independently associated with PTSS. Additionally, dissociative experiences during hospitalization (ß = 0.35; P < .001) and a longer home-to-hospital distance (ß = 0.07; P = .017) were specifically associated with PTSS 3 and 6 months after discharge, respectively.Conclusions: Patients with COVID-19 showed persistent high scores of PTSS up to 6 months after discharge from the hospital. In this specific pandemic setting, PTSS were associated with high rates of dissociative experiences during hospitalization and a longer home-to-hospital distance due to the saturation of health care facilities. These results can foster early identification and better prevention of PTSS after hospitalization for COVID-19.Trial Registration: ClinicalTrials.gov identifier: NCT04362930.

Severe SARS-Cov2 pneumonia in vaccinated patients: a multicenter cohort study.

Vaccination reduces risk of infection, hospitalization, and death due to SARS-Cov2. Vaccinated patients may however experience severe SARS-Cov2 disease. The objective was to describe clinical features of vaccinated patients requiring intensive care unit (ICU) admission due to SARS-Cov2 infection and compare them to a published cohort of unvaccinated patients. We performed a multicenter cohort study of patients with severe SARS-Cov2 disease admitted to 15 ICUs in France between January and September 2021. 100 consecutive vaccinated patients (68 (68%) men, median age 64 [57-71]) were included. Immunosuppression was reported in 38 (38%) patients. Among available serologies at ICU admission, 64% exhibited an optimal antibody level. Median SOFA score at ICU admission was 4 [4-6.3] and median PaO2/FiO2 ratio was 84 [69-128] mmHg. A total of 79 (79%) and 18 (18%) patients received high flow nasal oxygen and non-invasive mechanical ventilation, respectively. Invasive mechanical ventilation (IMV) was initiated in 48 (48%) with a median duration of 11 [5-19] days. During a median ICU length-of-stay of 8 [4-20] days, 31 (31%) patients died. Age (OR per 5-years increment 1.38 CI95% [1.02-1.85], p = 0.035), and SOFA at ICU admission (OR 1.40 CI95% [1.14-1.72] per point, p = 0.002) were independently associated with mortality. When compared to a cohort of 1316 unvaccinated patients (72% men, median age 63 [53-71]), vaccinated patients exhibited less frequently diabetes (16 [16%] vs. 351 [27%], p = 0.029) but were more frequently immunosuppressed (38 [38%] vs. 109 (8.3%), p < 0.0001), had more frequently chronic kidney disease (24 [24%] vs. 89 (6.8%), p < 0.0001), chronic heart failure (16 [16%] vs. 58 [4.4%], p < 0.0001), and chronic liver disease (3 [3%] vs. 8 [0.6%], p = 0.037) compared to unvaccinated patients. Despite similar severity, vaccinated patients required less frequently IMV at ICU day 1 and during ICU stay (23 [23%] vs. 785 [59.7%], p < 0.0001, and 48 [48%] vs. 930 [70.7%], p < 0.0001, respectively). There was no difference concerning ICU mortality (31 [31%] vs. 379 [28.8%], p = 0.64). Severe SARS-Cov2 infection after vaccination occurs mainly in patients with immunosuppression, chronic kidney, heart or liver failure. Age and disease severity are independently associated with mortality.

Environmental and societal factors associated with COVID-19-related death in people with rheumatic disease: an observational study.

Background: Differences in the distribution of individual-level clinical risk factors across regions do not fully explain the observed global disparities in COVID-19 outcomes. We aimed to investigate the associations between environmental and societal factors and country-level variations in mortality attributed to COVID-19 among people with rheumatic disease globally. Methods: In this observational study, we derived individual-level data on adults (aged 18-99 years) with rheumatic disease and a confirmed status of their highest COVID-19 severity level from the COVID-19 Global Rheumatology Alliance (GRA) registry, collected between March 12, 2020, and Aug 27, 2021. Environmental and societal factors were obtained from publicly available sources. The primary endpoint was mortality attributed to COVID-19. We used a multivariable logistic regression to evaluate independent associations between environmental and societal factors and death, after controlling for individual-level risk factors. We used a series of nested mixed-effects models to establish whether environmental and societal factors sufficiently explained country-level variations in death. Findings: 14 044 patients from 23 countries were included in the analyses. 10 178 (72·5%) individuals were female and 3866 (27·5%) were male, with a mean age of 54·4 years (SD 15·6). Air pollution (odds ratio 1·10 per 10 µg/m3 [95% CI 1·01-1·17]; p=0·0105), proportion of the population aged 65 years or older (1·19 per 1% increase [1·10-1·30]; p<0·0001), and population mobility (1·03 per 1% increase in number of visits to grocery and pharmacy stores [1·02-1·05]; p<0·0001 and 1·02 per 1% increase in number of visits to workplaces [1·00-1·03]; p=0·032) were independently associated with higher odds of mortality. Number of hospital beds (0·94 per 1-unit increase per 1000 people [0·88-1·00]; p=0·046), human development index (0·65 per 0·1-unit increase [0·44-0·96]; p=0·032), government response stringency (0·83 per 10-unit increase in containment index [0·74-0·93]; p=0·0018), as well as follow-up time (0·78 per month [0·69-0·88]; p<0·0001) were independently associated with lower odds of mortality. These factors sufficiently explained country-level variations in death attributable to COVID-19 (intraclass correlation coefficient 1·2% [0·1-9·5]; p=0·14). Interpretation: Our findings highlight the importance of environmental and societal factors as potential explanations of the observed regional disparities in COVID-19 outcomes among people with rheumatic disease and lay foundation for a new research agenda to address these disparities. Funding: American College of Rheumatology and European Alliance of Associations for Rheumatology.

COVID-19 presentation and outcomes in patients with inflammatory rheumatic and musculoskeletal diseases receiving IL6-receptor antagonists prior to SARS-CoV-2 infection.

Objective: COVID-19 outcome may be less favourable in patients with inflammatory rheumatic and musculoskeletal diseases (RMD) receiving immunosuppressive therapy. We aimed to investigate whether RMD patients on anti-IL6 therapy prior to SARS-CoV-2 infection have less severe disease and better outcomes of COVID-19. Methods: We conducted a retrospective national, multicentre cohort study using data from the French RMD COVID-19 cohort. We compared the severity and outcome of highly suspected or confirmed COVID-19 infection in RMD patients previously treated with tocilizumab or sarilumab (anti-IL6 group) with patients who did not receive anti-IL6 therapy (no anti-IL6 group). Results: Data were collected for 1883 patients with mean age of 55.2 years [SD 16.7] and 1256 (66.7%) female. Two hundred ten (11.1%) developed severe COVID-19 and 115 (6.4%) died. After adjusting for potential confounding factors, severe COVID-19 was less frequent in the anti-IL6 group compared with the no anti-IL6 group (aOR for moderate vs. mild severity, 0.23 [95% CI, 0.10 to 0.54], p ≤ 0.01 and aOR for severe vs. mild, 0.29 [95% CI, 0.10 to 0.81], p ≤ 0.01). No significant differences were found for the evolution of COVID-19 between the anti-IL6 group and the no anti-IL6 group (aOR for recovery with sequelae vs recovery without sequelae, 0.78 [95% CI, 0.41 to 1.48] and aOR for death vs recovery without sequelae, 0.29 [95% CI, 0.07 to 1.30]). Conclusion: RMD patients receiving anti-IL6 therapy prior to SARS-CoV-2 infection have less severe forms of COVID-19. No difference was observed in COVID-19 evolution, i.e., sequelae or death, between the groups.

Tolerance and efficacy of targeted therapies prescribed for off-label indications in refractory systemic autoimmune diseases: data of the first 100 patients enrolled in the TATA registry (TArgeted Therapy in Autoimmune Diseases).

OBJECTIVES: To assess the tolerance and efficacy of targeted therapies prescribed off-label in refractory low-prevalence autoimmune and inflammatory systemic diseases. METHODS: The TATA registry (TArgeted Therapy in Autoimmune Diseases) is a prospective, observational, national and independent cohort follow-up. The inclusion criteria in the registry are as follows: age >18 years; low-prevalence autoimmune and inflammatory systemic disease treated with off-label drugs started after 1 January 2019. RESULTS: Hundred (100) patients (79 women) were enrolled. The median age was 52.5 years (95% CI 49 to 56) and the median disease duration before enrolment was 5 years (3 to 7). The targeted therapies at enrolment were as follows: Janus kinase/signal transducers and activators of transcription inhibitors (44%), anti-interleukin (IL)-6R (22%), anti-IL-12/23, anti-IL-23 and anti-IL-17 (9%), anti-B cell activating factor of the tumour necrosis factor family (5%), abatacept (5%), other targeted treatments (9%) and combination of targeted treatments (6%). 73% of patients were receiving corticosteroid therapy at enrolment (median dose 10 mg/day). The current median follow-up time is 9 months (8 to 10).Safety: 11 serious infections (incidence rate of 14.8/100 patient-years) and 1 cancer (1.3 cancers/100 patient-years) were observed. Two patients died from severe COVID-19 (2.7 deaths/100 patient-years).Efficacy: the targeted treatment was considered effective by the clinician in 56% of patients and allowed, in responders, a median reduction of oral corticosteroids of 15 (9 to 21) mg/day, below 7.5 mg/day in 76% of patients, while 28% discontinued. CONCLUSION: These initial results of the TATA registry confirm the diversity of targeted treatments prescribed off-label in refractory autoimmune diseases and their corticosteroid-sparing effect when effective. Tolerance was acceptable in these refractory patients with a long history of treatment with immunosuppressive drugs.

COVID-19 outcomes in giant cell arteritis and polymyalgia rheumatica versus rheumatoid arthritis: A national, multicenter, cohort study.

OBJECTIVES: To determine whether giant cell arteritis and polymyalgia rheumatica (GCA/PMR) represent independent risk factors for worse outcomes in COVID-19. METHODS: Observational, national, French, multicenter cohort (NCT04353609) comprising patients aged ≥18 years with confirmed diagnoses of either GCA, PMR or rheumatoid arthritis (RA) having presented COVID-19; those under rituximab were excluded. Primary endpoint was COVID-19 severity in GCA/PMR patients as compared to RA. We also aimed to describe the evolution of GCA/PMR patients following COVID-19. Multinomial logistic regression models were performed, with and without adjustment on pre-specified confounding factors (i.e., age, sex, body mass index, arterial hypertension, diabetes and cardiovascular disease). Unadjusted and adjusted multinomial odds-ratio (OR/aOR) and their 95% confidence intervals (CIs) were calculated as effect size using RA as reference group. RESULTS: Between April 15, 2020, and August 20, 2021, 674 patients [45 (6.6%) GCA, 47 (7.0%) PMR, 582 (86.4%) RA; 62.8 years, 73.2% female] were included. Compared to RA patients, those with GCA/PMR were older and more frequently presented hypertension, diabetes and cardiovascular disease. Severe COVID-19 and death occurred in 24 (26.1%) and 16 (17.8%) patients with GCA/PMR, respectively. Unadjusted analyses revealed higher odds of severe COVID-19 [OR = 3.32 (95% CI 1.89-5.83; p < 0.001)] and death [OR = 3.20 (95%CI 1.67-6.13; p < 0.001)] for GCA/PMR compared to RA. After model adjustment, these odds were attenuated. CONCLUSION: Patients with GCA/PMR were more likely to have severe COVID-19 and higher mortality compared to those with RA. This worse prognosis is mostly due to well known risk factors for the general population rather than vasculitis per se.

Clinical Interest of Serum Alpha-2 Macroglobulin, Apolipoprotein A1, and Haptoglobin in Patients with Non-Alcoholic Fatty Liver Disease, with and without Type 2 Diabetes, before or during COVID-19.

In patients with non-alcoholic fatty liver disease (NAFLD) with or without type 2 diabetes mellitus (T2DM), alpha-2 macroglobulin (A2M), apolipoprotein A1 (ApoA1), and haptoglobin are associated with the risk of liver fibrosis, inflammation (NASH), and COVID-19. We assessed if these associations were worsened by T2DM after adjustment by age, sex, obesity, and COVID-19. Three datasets were used: the "Control Population", which enabled standardization of protein serum levels according to age and sex (N = 27,382); the "NAFLD-Biopsy" cohort for associations with liver features (N = 926); and the USA "NAFLD-Serum" cohort for protein kinetics before and during COVID-19 (N = 421,021). The impact of T2DM was assessed by comparing regression curves adjusted by age, sex, and obesity for the liver features in "NAFLD-Biopsy", and before and during COVID-19 pandemic peaks in "NAFLD-Serum". Patients with NAFLD without T2DM, compared with the values of controls, had increased A2M, decreased ApoA1, and increased haptoglobin serum levels. In patients with both NAFLD and T2DM, these significant mean differences were magnified, and even more during the COVID-19 pandemic in comparison with the year 2019 (all p < 0.001), with a maximum ApoA1 decrease of 0.21 g/L in women, and a maximum haptoglobin increase of 0.17 g/L in men. In conclusion, T2DM is associated with abnormal levels of A2M, ApoA1, and haptoglobin independently of NAFLD, age, sex, obesity, and COVID-19.

Validation of the Performance of A1HPV6, a Triage Blood Test for the Early Diagnosis and Prognosis of SARS-CoV-2 Infection.

BACKGROUND AND AIMS: Apolipoprotein A1 (A1) and haptoglobin (HP) serum levels are associated with the spread and severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We have constructed and validated a multivariable risk calculator (A1HPV6) integrating A1, HP, alpha2-macroglobulin, and gamma glutamyl transferase to improve the performances of virological biomarkers. METHODS: In a prospective observational study of hospitalized patients with nonsevere SARS-CoV-2 infection, A1HPV6 was constructed in 127 patients and validated in 116. The specificity was assessed in 7482 controls representing the general population. The primary diagnostic endpoint was the area under the receiver operating characteristic curve in patients with positive SARS-CoV-2 PCR. The primary prognostic endpoint was the age-and sex-adjusted risk of A1HPV6 to predict patients with WHO-stage > 4 (W > 4) severity. We assessed the kinetics of the A1HPV6 components in a nonhuman primate model (NHP), from baseline to 7 days (D7) after SARS-CoV-2 infection. RESULTS: The area under the receiver operating characteristic curve for A1HPV6 was 0.99 (95% CI 0.97-0.99) in the validation subset, which was not significantly different from that in the construction subset, 0.99 (0.99-0.99; P = .80), like for sensitivity 92% (85-96) vs 94% (88-97; P = .29). A1HPV6 was associated with W > 4, with a significant odds ratio of 1.3 (1.1-1.5; 0.002). In NHP, A1 levels decreased (P < .01) at D2 and normalized at D4; HP levels increased at D2 and peaked at D4. In patients, A1 concentration was very low at D2 vs controls (P < .01) and increased at D14 (P < .01) but was still lower than controls; HP increased at D2 and remained elevated at D14. CONCLUSION: These results validate the diagnostic and prognostic performances of A1HPV6. Similar kinetics of apolipoprotein A1, HP, and alpha-2-macroglobulin were observed in the NHP model. ClinicalTrials.gov number, NCT01927133.

Cardiac adipose tissue volume and IL-6 level at admission are complementary predictors of severity and short-term mortality in COVID-19 diabetic patients.

BACKGROUND: COVID-19 diabetic adults are at increased risk of severe forms irrespective of obesity. In patients with type-II diabetes, fat distribution is characterized by visceral and ectopic adipose tissues expansion, resulting in systemic inflammation, which may play a role in driving the COVID-19 cytokine storm. Our aim was to determine if cardiac adipose tissue, combined to interleukin-6 levels, could predict adverse short-term outcomes, death and ICU requirement, in COVID-19 diabetic patients during the 21 days after admission. METHODS: Eighty one consecutive patients with type-II diabetes admitted for COVID-19 were included. Interleukin-6 measurement and chest computed tomography with total cardiac adipose tissue index (CATi) measurement were performed at admission. The primary outcome was death during the 21 days following admission while intensive care requirement with or without early death (ICU-R) defined the secondary endpoint. Associations of CATi and IL-6 and threshold values to predict the primary and secondary endpoints were determined. RESULTS: Of the enrolled patients (median age 66 years [IQR: 59-74]), 73% male, median body mass index (BMI) 27 kg/m2 [IQR: 24-31]) 20 patients had died from COVID-19, 20 required intensive care and 41 were in conventional care at day 21 after admission. Increased CATi and IL-6 levels were both significantly related to increased early mortality (respectively OR = 6.15, p = 0.002; OR = 18.2, p < 0.0001) and ICU-R (respectively OR = 3.27, p = 0.01; OR = 4.86, p = 0.002). These associations remained significant independently of age, sex, BMI as well as troponin-T level and pulmonary lesion extension in CT. We combined CATi and IL-6 levels as a multiplicative interaction score (CATi*IL-6). The cut-point for this score was ≥ 6386 with a sensitivity of 0.90 and a specificity of 0.87 (AUC = 0.88) and an OR of 59.6 for early mortality (p < 0.0001). CONCLUSIONS: Cardiac adipose tissue index and IL-6 determination at admission could help physicians to better identify diabetic patients with a potentially severe and lethal short term course irrespective of obesity. Diabetic patients with high CATi at admission, a fortiori associated with high IL-6 levels could be a relevant target population to promptly initiate anti-inflammatory therapies.

SARS-CoV-2 Vaccine and Thrombosis: An Expert Consensus on Vaccine-Induced Immune Thrombotic Thrombocytopenia.

Historically, the vaccination strategies developed in the second half of the 20th century have facilitated the eradication of infectious diseases. From the onset of COVID-19 pandemic to the end of April 2021, more than 150 million cases and 3 million deaths were documented worldwide with disruption of the economic and social activity, and with devastating material, physical, and psychological consequences. Reports of unusual and severe thrombotic events, including cerebral and splanchnic venous thrombosis and other autoimmune adverse reactions, such as immune thrombocytopenia or thrombotic microangiopathies in connection with some of the SARS-CoV-2 vaccines, have caused a great deal of concern within the population and the medical community. This report is intended to provide practical answers following an overview of our knowledge on these thrombotic events that are extremely rare but have serious consequences. Vaccine hesitancy threatens to reverse the progress made in controlling vaccine-preventable diseases. These adverse events must be put into perspective with an objective analysis of the facts and the issues of the vaccination strategy during this SARS-CoV-2 pandemic. Health care professionals remain the most pertinent advisors and influencers regarding vaccination decisions; they have to be supported to provide reliable and credible information on vaccines. We need to inform, reassure, and support our patients when the prescription is made. Facing these challenges and observations, a panel of experts express their insights and propose a tracking algorithm for vaccinated patients based on a 10-point guideline for decision-making on what to do and not to do.

[Differences of characteristics and outcomes between cancer patients and patients with no active cancer hospitalised for a SARS-CoV-2 infection]. / Comparaison des caractéristiques et des pronostics des patients avec et sans cancer actif hospitalisés pour une infection à SARS-CoV-2.

BACKGROUND: Patients with solid cancer or haematologic malignancies have been considered to be more susceptible to SARS-CoV-2 infection and to more often develop severe complications. We aimed to compare the differences in clinical features and outcomes of COVID-19 patients with and without cancer. METHODS: This was a prospective observational cohort study of consecutive adult patients hospitalised in a COVID-19 unit at Pitié-Salpêtrière Hospital, Paris, France (NCT04320017). RESULTS: Among the 262 patients hospitalised in a medical ward during the pandemics with a confirmed COVID-19 diagnosis, 62 patients had cancer. Clinical presentation, comorbidities, and outcomes were similar between cancer and non-cancer patients. However, cancer patients were more likely to have been contaminated while being hospitalised. CONCLUSIONS: Oncologic and non-oncologic patients hospitalised for COVID-19 shared similar outcomes in terms of death, admission in intensive care, or thrombosis/bleeding. They should benefit from the same therapeutic strategy as the general population during the COVID-19 pandemic.

SARS-CoV-2 outbreak in immune-mediated inflammatory diseases: the Euro-COVIMID multicentre cross-sectional study.

BACKGROUND: The COVID-19 pandemic has raised numerous questions among patients with immune-mediated inflammatory diseases regarding potential reciprocal effects of COVID-19 and their underlying disease, and potential effects of immunomodulatory therapy on outcomes related to COVID-19. The seroprevalence of SARS-CoV-2 and factors associated with symptomatic COVID-19 in patients with immune-mediated inflammatory diseases are still unclear. The Euro-COVIMID study aimed to determine the serological and clinical prevalence of COVID-19 among patients with immune-mediated inflammatory diseases, as well as factors associated with COVID-19 occurrence and the impact of the pandemic in its management. METHODS: In this multicentre cross-sectional study, patients aged 18 years or older with a clinical diagnosis of rheumatoid arthritis, axial spondyloarthritis, systemic lupus erythematosus, Sjögren's syndrome, or giant cell arteritis were recruited from six tertiary referral centres in France, Germany, Italy, Portugal, Spain, and the UK. Demographics, comorbidities, treatments, and recent disease flares, as well as information on COVID-19 symptoms, were collected through a questionnaire completed by participants. SARS-CoV-2 serology was systematically tested. The main outcome was the serological and clinical prevalence of COVID-19. Factors associated with symptomatic COVID-19 were assessed by multivariable logistic regression, and incidence of recent disease flares, changes in treatments for underlying disease, and the reasons for treatment changes were also assessed. This study is registered with ClinicalTrials.gov, NCT04397237. FINDINGS: Between June 7 and Dec 8, 2020, 3136 patients with an immune-mediated inflammatory disease answered the questionnaire. 3028 patients (median age 58 years [IQR 46-67]; 2239 [73·9%] women and 789 [26·1%] men) with symptomatic COVID-19, serological data, or both were included in analyses. SARS-CoV-2 antibodies were detected in 166 (5·5% [95% CI 4·7-6·4]) of 3018 patients who had serology tests. Symptomatic COVID-19 occurred in 122 (4·0% [95% CI 3·4-4·8]) of 3028 patients, of whom 24 (19·7%) were admitted to hospital and four (3·3%) died. Factors associated with symptomatic COVID-19 were higher concentrations of C-reactive protein (odds ratio 1·18, 95% CI 1·05-1·33; p=0·0063), and higher numbers of recent disease flares (1·27, 1·02-1·58; p=0·030), whereas use of biological therapy was associated with reduced risk (0·51, 0·32-0·82; p=0·0057). At least one disease flare occurred in 654 (21·6%) of 3028 patients. Over the study period, 519 (20·6%) of 2514 patients had treatment changes, of which 125 (24·1%) were due to the pandemic. INTERPRETATION: This study provides key insights into the epidemiology and risk factors of COVID-19 among patients with immune-mediated inflammatory diseases. Overall, immunosuppressants do not seem to be deleterious in this scenario, and the control of inflammatory activity seems to be key when facing the pandemic. FUNDING: Pfizer, Sanofi, Amgen, Galapagos, and Lilly.

Factors associated with COVID-19-related death in people with rheumatic diseases: results from the COVID-19 Global Rheumatology Alliance physician-reported registry.

OBJECTIVES: To determine factors associated with COVID-19-related death in people with rheumatic diseases. METHODS: Physician-reported registry of adults with rheumatic disease and confirmed or presumptive COVID-19 (from 24 March to 1 July 2020). The primary outcome was COVID-19-related death. Age, sex, smoking status, comorbidities, rheumatic disease diagnosis, disease activity and medications were included as covariates in multivariable logistic regression models. Analyses were further stratified according to rheumatic disease category. RESULTS: Of 3729 patients (mean age 57 years, 68% female), 390 (10.5%) died. Independent factors associated with COVID-19-related death were age (66-75 years: OR 3.00, 95% CI 2.13 to 4.22; >75 years: 6.18, 4.47 to 8.53; both vs ≤65 years), male sex (1.46, 1.11 to 1.91), hypertension combined with cardiovascular disease (1.89, 1.31 to 2.73), chronic lung disease (1.68, 1.26 to 2.25) and prednisolone-equivalent dosage >10 mg/day (1.69, 1.18 to 2.41; vs no glucocorticoid intake). Moderate/high disease activity (vs remission/low disease activity) was associated with higher odds of death (1.87, 1.27 to 2.77). Rituximab (4.04, 2.32 to 7.03), sulfasalazine (3.60, 1.66 to 7.78), immunosuppressants (azathioprine, cyclophosphamide, ciclosporin, mycophenolate or tacrolimus: 2.22, 1.43 to 3.46) and not receiving any disease-modifying anti-rheumatic drug (DMARD) (2.11, 1.48 to 3.01) were associated with higher odds of death, compared with methotrexate monotherapy. Other synthetic/biological DMARDs were not associated with COVID-19-related death. CONCLUSION: Among people with rheumatic disease, COVID-19-related death was associated with known general factors (older age, male sex and specific comorbidities) and disease-specific factors (disease activity and specific medications). The association with moderate/high disease activity highlights the importance of adequate disease control with DMARDs, preferably without increasing glucocorticoid dosages. Caution may be required with rituximab, sulfasalazine and some immunosuppressants.

Pharmacokinetics and pharmacodynamics of hydroxychloroquine in hospitalized patients with COVID-19.

BACKGROUND: Hydroxychloroquine (HCQ) dosage required to reach circulating levels that inhibit SARS-Cov-2 are extrapolated from pharmacokinetic data in non-COVID-19 patients. METHODS: We performed a population-pharmacokinetic analysis from 104 consecutive COVID-19 hospitalized patients (31 in intensive care units, 73 in medical wards, n=149 samples). Plasma HCQ concentration were measured using high performance liquid chromatography with fluorometric detection. Modelling used Monolix-2019R2. RESULTS: HCQ doses ranged from 200 to 800mg/day administered for 1 to 11days and median HCQ plasma concentration was 151ng/mL. Among the tested covariates, only bodyweight influenced elimination oral clearance (CL) and apparent volume of distribution (Vd). CL/F (F for unknown bioavailability) and Vd/F (relative standard-error, %) estimates were 45.9L/h (21.2) and 6690L (16.1). The derived elimination half-life (t1/2) was 102h. These parameters in COVID-19 differed from those reported in patients with lupus, where CL/F, Vd/F and t1/2 are reported to be 68L/h, 2440 L and 19.5h, respectively. Within 72h of HCQ initiation, only 16/104 (15.4%) COVID-19 patients had HCQ plasma levels above the in vitro half maximal effective concentration of HCQ against SARS-CoV-2 (240ng/mL). HCQ did not influence inflammation status (assessed by C-reactive protein) or SARS-CoV-2 viral clearance (assessed by real-time reverse transcription-PCR nasopharyngeal swabs). CONCLUSION: The interindividual variability of HCQ pharmacokinetic parameters in severe COVID-19 patients was important and differed from that previously reported in non-COVID-19 patients. Loading doses of 1600mg HCQ followed by 600mg daily doses are needed to reach concentrations relevant to SARS-CoV-2 inhibition within 72hours in≥60% (95% confidence interval: 49.5-69.0%) of COVID-19 patients.