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Coronavirus disease 2019 (COVID-19) infection in elderly patients is more aggressive and treatments have shown limited efficacy. Our objective is to describe the clinical course and to analyze the prognostic factors associated with a higher risk of mortality of a cohort of patients older than 80 years. In addition, we assess the efficacy of immunosuppressive treatments in this population. We analyzed the data from 163 patients older than 80 years admitted to our institution for COVID-19, during March and April 2020. A Lasso regression model and subsequent multivariate Cox regression were performed to select variables predictive of death. We evaluated the efficacy of immunomodulatory therapy in three cohorts using adjusted survival analysis. The mortality rate was 43%. The mean age was 85.2 years. The disease was considered severe in 76.1% of the cases. Lasso regression and multivariate Cox regression indicated that factors correlated with hospital mortality were: age (hazard ratio [HR] 1.12, 95% confidence interval [CI]: 1.03-1.22), alcohol consumption (HR 3.15, 95% CI: 1.27-7.84), CRP > 10 mg/dL (HR 2.67, 95% CI: 1.36-5.24), and oxygen support with Venturi Mask (HR 6.37, 95% CI: 2.18-18.62) or reservoir (HR 7.87, 95% CI: 3.37-18.38). Previous treatment with antiplatelets was the only protective factor (HR 0.47, 95% CI: 0.23-0.96). In the adjusted treatment efficacy analysis, we found benefit in the combined use of tocilizumab (TCZ) and corticosteroids (CS) (HR 0.09, 95% CI: 0.01-0.74) compared to standard treatment, with no benefit of CS alone (HR 0.95, 95% CI: 0.53-1.71). Hospitalized elderly patients suffer from a severe and often fatal form of COVID-19 disease. In this regard, several parameters might identify high-risk patients upon admission. Combined use of TCZ and CS could improve survival., (© 2021 Wiley Periodicals LLC.)

A few scores predicting the short-term risk of mortality in Systemic sclerosis (SSc) have been reported to date. Our study aimed to create a predictive 15-year all-cause mortality score at the time of the diagnosis of SSc. The study was based on the Spanish Scleroderma Registry (RESCLE). The cohort was split up in derivation (DC) and validation cohort (VC). A multivariate analysis to detect variables related to all-cause mortality within the first 15 years from SSc diagnosis was performed, assigning points to the rounded beta values to create the score (RESCLESCORE). 1935 SSc patients were included. The variables in the final model were as follows: age at diagnosis (+2 points > 65 years-old), male gender (+1 point), lcSSc subset (-1 point), mode of onset other than Raynaud's (+1 point), cancer (+1 point) and visceral involvement, such as ILD (+1 point), PAH (+1 point), heart (+1 point) and renal involvement (+2 points). Autoantibodies did not achieve statistical significance in the multivariate analysis. The 3 categories of risk to predict 15-year all-cause mortality at the time of diagnosis were as follows: low risk (5% vs. 7%, p = .189), intermediate risk (26.5% vs. 25.5%, p = .911) and high risk (47.8% vs. 59%, p = .316). The AUC was 0.799 (DC) vs. 0.778 (VC) (p = .530). In conclusion, the RESCLESCORE demonstrated an excellent ability to categorize SSc patients at the time of diagnosis in separate 15-year all-cause mortality risk strata at the time of diagnosis., Competing Interests: Declaration of Competing Interest The authors declare no conflicts of interest. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors., (Copyright © 2020 Elsevier B.V. All rights reserved.)