Social and clinical predictors of perianal colonisation by multidrug-resistant bacteria for geriatric patients in the internal medicine service.

BACKGROUND: Colonisation by multidrug-resistant (MDR) bacteria is a global health issue. The identification of patients with a higher risk of colonisation is essential. Patients admitted to internal medicine services might represent a vulnerable population with a high risk of colonisation. This study was the first to assess social and clinical variables associated with a higher risk of perianal colonisation by MDR bacteria in a Spanish cohort of patients admitted to internal medicine service. METHODS: Patients admitted to an internal medicine service during 12 months of recruitment (1 March 2022 to 1 March 2023) were included in the study. Perianal swabs were performed at admission to identify the presence of MDR bacteria. Social and clinical variables were collected following a directed acyclic graph. A cluster analysis was performed to identify clinical profiles of higher risk. Bivariate analyses and multivariable logistic regression models were fitted to identify potential predictors of MDR bacteria colonisation. RESULTS: A total of 245 patients, according to the required sample size, were included. Of them, 46 (18.8%) were colonised by MDR bacteria in perianal swabs. Female sex, age > 80 years, dependency on activities of daily living, cognitive deterioration and living in long-term care facilities constituted the highest risk clinical profile. After adjustments, living in long-term care facilities and malnutrition remained the main risk factors identified. CONCLUSION: Patients admitted to internal medicine services presented a high frequency of perianal colonisation by MDR bacteria. Social and clinical variables associated with bio-psycho-social susceptibility were associated with colonisation. Special surveillance is needed in internal medicine services to control the transmission.

Sociodemographic, clinical and laboratory factors on admission associated with COVID-19 mortality in hospitalized patients: A retrospective observational study.

BACKGROUND: To identify and quantify associations between baseline characteristics on hospital admission and mortality in patients with COVID-19 at a tertiary hospital in Spain. METHODS AND FINDINGS: This retrospective case series included 238 patients hospitalized for COVID-19 at Hospital Universitario Clínico San Cecilio (Granada, Spain) who were discharged or who died. Electronic medical records were reviewed to obtain information on sex, age, personal antecedents, clinical features, findings on physical examination, and laboratory results for each patient. Associations between mortality and baseline characteristics were estimated as hazard ratios (HR) calculated with Cox regression models. Series mortality was 25.6%. Among patients with dependence for basic activities of daily living, 78.7% died, and among patients residing in retirement homes, 80.8% died. The variables most clearly associated with a greater hazard of death were age (3% HR increase per 1-year increase in age; 95%CI 1-6), diabetes mellitus (HR 2.42, 95%CI 1.43-4.09), SatO2/FiO2 ratio (43% HR reduction per 1-point increase; 95%CI 23-57), SOFA score (19% HR increase per 1-point increase, 95%CI 5-34) and CURB-65 score (76% HR increase per 1-point increase, 95%CI 23-143). CONCLUSIONS: The patients residing in retirement homes showed great vulnerability. The main baseline factors that were independently associated with mortality in patients hospitalized for COVID-19 were older age, diabetes mellitus, low SatO2/FiO2 ratio, and high SOFA and CURB-65 scores.