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Introduction and Objective: Hip fracture in the elderly leads to long hospital stays, readmissions and mortality., Objective: To identify risk factors associated with mortality and readmissions in elderly with hip fracture., Patients and Methods: Prospective observational study in people over 65years with hip fracture between October-2017 and November-2018, followed for 12months (128 patients)., Statistical Analysis: SPSS vs27.0., Results: 6 (4.7%) patients were readmitted at 1 month; at year 24 (19.4%); 55 (44.4%) consulted for emergencies; 4 (3.1%) died during admission, and 26 (20.3%) in 12months; hospital stay 6.5 (SD: 4.80) days. Those with a previous Barthel less than 85 (6 [8.5%] vs 0 [0%]; P=.037) and less EuroQol5D (6 [10.0] vs 0 [0%]; P=.011) were readmitted more at one month. Those taking anticoagulants (OR: 3.33 (1.13-9.81); P=.003) and those with high surgical risk (18 [23.4%] vs 1 [5.6%]) were readmitted more after one year; P=.038). There was higher intra-episode mortality with renal failure (OR: 34.2 [3.25-359.93]; P=.003) and decompensated heart failure (OR: 23.8 [2.76-205.25]; P=.015). Higher mortality at one year in those older than 85years (OR: 4.3 [1.48-12.49]; P=.007); in those taking benzodiazepines (OR: 2.86 [1.06-7.73]; P=.038); if Barthel was less than 85 (OR: 2.96 [1.1-7.99]; P=.027) and if EuroQol5D was low (0.249 vs 0.547; P=.025). Those operated after 72h (24 [57.1%] vs. 29 [38.2%]; P=.047) consulted more for the emergency department., Conclusions: Renal failure and cardiac decompensation increased intra-episode mortality. Older age, benzodiazepines, and previous low functionality and low EuroQol5D increased mortality at one year. They were readmitted more if higher surgical risk, previously anticoagulated and worse quality of life and functionality., (Copyright © 2022 FECA. Publicado por Elsevier España, S.L.U. All rights reserved.)

Objective: Hip fracture (HF) in the elderly carries high mortality and decreases functionality and quality of life after one year. The aim of this paper was to identify risk factors that influenced functionality (Barthel) and quality of life (EQ-5D) of the elderly with osteoporotic HF., Methods: A prospective observational study was made in people over 65 years of age with HF between October 2017 and November 2018. Clinical information was collected from the digital medical record and the scales were measured by telephone at four times: baseline, one month, six months and twelve months. Statistical analysis was made thanks to SPSS vs 25.0. Multivariate analysis was performed using a generalized linear model for repeated measures to determine the relationship of risk factors with functionality and quality of life., Results: Functionality showed significant differences (p<0.001) between baseline measurement and one month (90 points vs 50); baseline and at twelve months (90 vs 60 points); and that of the month and at twelve months (50 points vs 60). Quality of life also presented significant differences (p<0.001) between baseline and one month (0.587 vs 0.113); and baseline and twelve months (0.220). The functionality should be in transfused and with high surgical risk (p<0.05) and the quality of life will arrive in high surgical risk (p=0.017). Those older than 85 years were the ones who recovered the least after one year, as well as patients with delirium on admission and those who received transfusions. Patients with iron therapy recovered better at six months compared to those who did not and maintained this improvement at twelve months., Conclusions: Among the main risk factors are advanced age, male sex, transfused, high surgical risk, delirium on admission and malnutrition., Competing Interests: Disclosure The authors report no conflicts of interest in this work.

Background: The clinical spectrum of COVID-19 varies from no or mild symptoms to pneumonia with fatal complications. The aim of the study was to find predictors of mortality and admission in the intensive care unit (ICU) in patients hospitalized for COVID-19., Methods: Retrospective study of a cohort of patients admitted for COVID-19 between March 2020 and February 2021. Demographic, clinical, radiological and laboratory variables were described at admission. Independent predictors of mortality and ICU admission were identified by means of backward stepwise logistic regression and described in terms of odds ratio (OR) and 95% confidence interval (95%CI)., Results: A total of 883 patients were included, 51.8% men with a mean age of 68; 1.8% readmissions. 17.6% of patients died (n=154). The independent predictors of mortality were age (OR=1.071; 95%CI: 1.046-1.095), percentage of oxygen saturation (SatO2) (OR=0.938; 95%CI: 0.903-0.974), diastolic blood pressure (DBP, OR= 0.972; 95%CI: 0.955-0.989), creatinine (OR=1.516; 95%CI: 1.088-2.113), INR (OR=1.199; 95%CI: 1.012-1.419) and sodium (OR=1.082; 95%CI: 1.037-1.128). Eight percent of patients were admitted to ICU; the independent predictors were: male sex (OR=2.079; 95%CI: 1.099-3.935), age (OR=0.960; 95%CI: 0.942-0.979), SatO2 (OR=0.925; 95%CI: 0.889-0.962), creatinine (OR=1.551; 95%CI: 1.118-2.152) and C-reactive protein (CRP, OR=1.003; 95%CI: 1.000-1.007)., Conclusion: The identification of independent predictors of mortality (age, SatO2, DBP, creatinine, INR, sodium) and ICU admission (sex, age, SatO2, creatinine, and CRP) allowed for the stratification of patients to adapt clinical care protocols to these findings, thereby improving medical decisions.