Objective: We aim to determine the impact of steroid use in COVID-19 pneumonia in-hospital mortality. Design: We performed a single-centre retrospective cohort study. Setting: A University hospital in Madrid, Spain, during March 2020. Participants: Patients admitted with SARS-CoV-2 pneumonia. Exposures: Patients treated with steroids were compared to patients not treated with steroids. A propensity-score for steroid treatment was developed. Different steroid regimens were also compared, and adjusted with a second propensity score. Main Outcomes and Measures: To determine the role of steroids in in-hospital mortality, univariable and multivariable analyses were performed, and adjusted including the propensity score as a covariate. Survival times were compared using a log-rank test. Results: During the study period, 463 out of 848 hospitalized patients with COVID19 pneumonia fulfilled inclusion criteria. Among them, 396 (46.7%) consecutive patients were treated with steroids and 67 patients were assigned to the control cohort. Global mortality was 15.1%. Median time to steroid treatment from symptom onset was 10 days (IQR 8 to13). In-hospital mortality was lower in patients treated with steroids than in controls (13.9% [55/396] versus 23.9% [16/67], OR 0.51 [0.27 to 0.96], p= 0.044). Steroid treatment reduced mortality by 41.8% relative to no steroid treatment (RRR 0,42 [0.048 to 0.65). Initial treatment with 1 mg/kg/day of methylprednisolone (or equivalent) versus steroid pulses was not associated with in-hospital mortality (13.5% [42/310] versus 15.1% [13/86], OR 0.880 [0.449-1.726], p=0.710). Conclusions: Our results show that survival of patients with SARS-CoV2 pneumonia is higher in patients treated with glucocorticoids than in those not treated. In-hospital mortality was not different between initial regimens of 1 mg/kg/day of methylprednisolone or equivalent and glucocorticoid pulses. These results support the use of glucocorticoids in SARS-CoV2 infection.

Introduction SARS-CoV-2 pneumonia is often associated with hyper-inflammation. The cytokine-storm-like is one of the targets of current therapies for coronavirus disease 2019 (COVID-19). High Interleukin-6 (IL6) blood levels have been identified in severe COVID-19 disease, but there are still uncertainties regarding the actual role of anti-IL6 antagonists in COVID-19 management. Our hypothesis was that the use of sarilumab plus corticosteroids at an early stage of the hyper-inflammatory syndrome would be beneficial and prevent progression to acute respiratory distress syndrome (ARDS). Methods We randomly assigned (in a 1:1 ratio) COVID-19 pneumonia hospitalized patients under standard oxygen therapy and laboratory evidence of hyper-inflammation to receive sarilumab plus usual care (experimental group) or usual care alone (control group). Corticosteroids were given to all patients at a 1 mg/kg/day of methylprednisolone for at least 3 days. The primary outcome was the proportion of patients progressing to severe respiratory failure (defined as a score in the Brescia-COVID19 scale ≥ 3) up to day 15. Results A total of 201 patients underwent randomization: 99 patients in the sarilumab group and 102 patients in the control group. The rate of patients progressing to severe respiratory failure (Brescia-COVID scale score ≥ 3) up to day 15 was 16.16% in the Sarilumab group versus 15.69% in the control group (RR 1.03; 95% CI 0.48–2.20). No relevant safety issues were identified. Conclusions In hospitalized patients with Covid-19 pneumonia, who were under standard oxygen therapy and who presented analytical inflammatory parameters, an early therapeutic intervention with sarilumab plus standard of care (including corticosteroids) was not shown to be more effective than current standard of care alone. The study was registered at EudraCT with number: 2020-002037-15. Supplementary Information The online version contains supplementary material available at 10.1007/s40121-021-00543-2.

Background. COVID-19 infection has led to an overwhelming effort by health institutions to meet the high demand for hospital admissions. Aim. To analyse the clinical variables associated with readmission of patients who had previously been discharged after admission for COVID-19. Design and methods. We studied a retrospective cohort of patients with laboratory-confirmed SARS-CoV-2 infection who were admitted and subsequently discharged alive. We then conducted a nested case-control study paired (1:1 ratio) by age, sex and period of admission. Results. Out of 1368 patients who were discharged during the study period, 61 patients (4.4%) were readmitted. Immunocompromised patients were at increased risk for readmission. There was also a trend towards a higher probability of readmission in hypertensive patients (p=0.07). Cases had had a shorter hospital stay and a higher prevalence of fever during the 48 hours prior to discharge. There were no significant differences in oxygen levels measured at admission and discharge by pulse oximetry intra-subject or between the groups. Neutrophil/lymphocyte ratio at hospital admission tended to be higher in cases than in controls (p=0.06). The motive for readmission in 10 patients (16.4%), was a thrombotic event in venous or arterial territory (p<0.001). Neither glucocorticoids nor anticoagulants prescribed at hospital discharge were associated with a lower readmission rate. Conclusions. The rate of readmission after discharge from hospital for COVID-19 was low. Immunocompromised patients and those presenting with fever during the 48 hours prior to discharge are at greater risk of readmission to hospital.

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The significant impact of COVID-19 worldwide has made it necessary to develop tools to identify patients at high risk of severe disease and death. This work aims to validate the RIM Score-COVID in the SEMI-COVID-19 Registry. The RIM Score-COVID is a simple nomogram with high predictive capacity for in-hospital death due to COVID-19 designed using clinical and analytical parameters of patients diagnosed in the first wave of the pandemic. The nomogram uses five variables measured on arrival to the emergency department (ED): age, sex, oxygen saturation, C-reactive protein level, and neutrophil-to-platelet ratio. Validation was performed in the Spanish SEMI-COVID-19 Registry, which included consecutive patients hospitalized with confirmed COVID-19 in Spain. The cohort was divided into three time periods: T1 from February 1 to June 10, 2020 (first wave), T2 from June 11 to December 31, 2020 (second wave, pre-vaccination period), and T3 from January 1 to December 5, 2021 (vaccination period). The model’s accuracy in predicting in-hospital COVID-19 mortality was assessed using the area under the receiver operating characteristics curve (AUROC). Clinical and laboratory data from 22,566 patients were analyzed: 15,976 (70.7%) from T1, 4,233 (18.7%) from T2, and 2,357 from T3 (10.4%). AUROC of the RIM Score-COVID in the entire SEMI-COVID-19 Registry was 0.823 (95%CI 0.819–0.827) and was 0.834 (95%CI 0.830–0.839) in T1, 0.792 (95%CI 0.781–0.803) in T2, and 0.799 (95%CI 0.785–0.813) in T3. The RIM Score-COVID is a simple, easy-to-use method for predicting in-hospital COVID-19 mortality that uses parameters measured in most EDs. This tool showed good predictive ability in successive disease waves. Supplementary Information The online version contains supplementary material available at 10.1007/s11739-023-03200-3.