Internal and emergency medicine
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Predict in advance the need for hospitalization of adult patients for fall-related fractures based on information available at the time of triage to help decision-making at the emergency department (ED). ⋯ Using limited data available at the time of triage, we developed four machine learning models aimed at predicting hospitalization for patients presenting to the ED for fall-related fractures. All the four models were robust and performed well. Neural network method, however, performed the best for both pre- and post-models. Simple, parsimonious machine learning models can provide high accuracy for predicting hospital admission.
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The subsequent waves of the COVID-19 pandemic in Italy had a major impact on cardiac care. ⋯ The dramatic and profound derangement in arrhythmia management that characterized the first wave of the COVID-19 pandemic was followed by a progressive return to the volume of activities of the pre-pandemic periods, even if with different temporal dynamics and some heterogeneity. Remote monitoring was largely implemented during the first wave, but full implementation is needed.
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We assessed long-term mortality and its association with chronic alcohol-related diseases in patients admitted to the emergency department (ED) because of acute alcoholic intoxication (AAI). A retrospective cohort study was performed at the ED of Sant'Orsola-Malpighi Hospital, Bologna, Italy. 3304 patients, corresponding to 6415 admissions for AAI, who accessed the ED from January 1, 2005, to December 31, 2017, were studied. The ED electronic registry system was used to assess living status on 08 May 2020 and to obtain the prespecified potential predictors, i.e., age at first admission, sex, alcohol use disorder (AUD), substance use disorder (SUD), more than 1 admission to ED for trauma, mental and behavioral disorders, neurological disorders, and cardiovascular disease. ⋯ At multivariable Cox regression, AUD, SUD, and liver cirrhosis were strong and independent predictors of time-to-death. Using standardized mortality ratios, a clear excess of mortality was evident for all the age bands from (40-45] to (60-65] years. Mortality is higher in AAI than in the general population and chronic alcohol-related diseases are strongly associated with it.