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Aim The aim of the study was to determine the rate of inadequate empirical antimicrobial treatment in older nursing home residents with bacteremic urinary tract infection and its influence on prognosis. Methods We carried out a multicentric prospective observational study in five Spanish hospitals. Patients aged >65 years with pyelonephritis or urinary sepsis with bacteremia were included. Clinical characteristics, the percentage of inadequate empirical antibiotic treatment, length of hospital stay and mortality were evaluated. Results A total of 181 patients, 54.7% women, were included in the study, and 35.9% of the patients came from nursing homes. These patients had higher percentages of ultimately or rapidly fatal disease (92.3% vs 53.4%; P < 0.001), were older (83.15 ± 6.97 years vs 79.34 ± 7.25 years; P = 0.001) and had higher Acute Physiology And Chronic Health Evaluation II (28.38 ± 8.57 vs 19.83 ± 5.88). The percentage of extended‐spectrum beta‐lactamases was higher in patients from nursing homes (30.6% vs 16.3%; P = 0.045), as was the percentage of inadequate empirical antibiotic treatment (40% vs 20.7%; P = 0.005). Length of hospital stay was longer (10.82 ± 3.62 days vs 9.04 ± 4.88 days; P < 0.001). However, 30‐day mortality was not related to nursing home by multivariate analysis (OR 1.905, 95% CI 0.563–6.446; P = 0.300). Conclusions Nursing home patients with bacteremic urinary tract infections had a higher rate of extended‐spectrum beta‐lactamase‐producing enterobacteriacea and inadequate empirical antimicrobial treatment. Clinicians should consider these findings and avoid inappropriate antimicrobial agents for empirical treatment. Geriatr Gerontol Int 2019; 19: 1112–1117.

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.