Objective. To determine the indications, success rate and adverse effects of ceftaroline fosamil treatment in a tertiary hospital. Material and methods. In total, 84 cases from February 2018 to December 2019 were retrospectively analysed. No exclusion criteria were applied. Results. Eighty-four patients, with a median age of 70 years, of which, 6.7% (56) were male, were treated with ceftaroline fosamil for a median of 14 days. Most indications were off-label, including 29 endocarditis (34.5%), 14 bacteraemia (16.6%), 5 Central nervous system (CNS) infections (6%) and 19 osteoarticular infections (22.6%). Staphylococcus aureus was the most frequently isolated microorganism, including 28 methicillin-sensitive S. aureus (MSSA; 33.3%) and 14 methicillin-resistant S. aureus (MRSA; 16.7%), followed by coagulase-negative Staphylococcus (23, 27.4%). The main reason for ceftaroline fosamil prescription was the failure of previous treatment (41.7% of cases). Treatment was successful in 60/84 patients (71.4%) and failed clinically or microbiologically in 14 (16.7%). Eight patients died for a reason not related to the infection and two were found to have a non-infectious condition. Twenty-two of thirty-five (62.8%) patients prescribed ceftaroline because of failure of previous treatment improved, including eight endocarditis and seven bacteraemia. Adverse effects were reported in five patients (5.9%) including neutropenia, thrombocytopenia, transaminases elevation and creatinine elevation; all except one were mild and all resolved after discontinuation of treatment. Conclusions. Ceftaroline fosamil is a well-tolerated cephalosporine, effective against multi- resistant gram-positive and many gram-negative microorganisms. Our experience suggests that it is effective as a rescue or first-line therapy in other indications than those currently approved.

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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.