Total duration instead of in-hospital antibiotic days: reaching beyond the hospital walls

A Novel Risk-Adjusted Metric to Compare Hospitals on Their Antibiotic Prescribing at Hospital Discharge

BACKGROUND

Antibiotic overuse at hospital discharge is common, but there is no metric to evaluate hospital performance at this transition of care. We built a risk-adjusted metric for comparing hospitals on their overall post-discharge antibiotic use.

METHODS

This was a retrospective study across all acute-care admissions within the Veterans Health Administration during 2018-2021. For patients discharged to home, we collected data on antibiotics and relevant covariates. We built a zero-inflated, negative, binomial mixed model with 2 random intercepts for each hospital to predict post-discharge antibiotic exposure and length of therapy (LOT). Data were split into training and testing sets to evaluate model performance using absolute error. Hospital performance was determined by the predicted random intercepts.

RESULTS

1 804 300 patient-admissions across 129 hospitals were included. Antibiotics were prescribed to 41.5% while hospitalized and 19.5% at discharge. Median LOT among those prescribed post-discharge antibiotics was 7 (IQR, 4-10) days. The predictive model detected post-discharge antibiotic use with fidelity, including accurate identification of any exposure (area under the precision-recall curve = 0.97) and reliable prediction of post-discharge LOT (mean absolute error = 1.48). Based on this model, 39 (30.2%) hospitals prescribed antibiotics less often than expected at discharge and used shorter LOT than expected. Twenty-eight (21.7%) hospitals prescribed antibiotics more often at discharge and used longer LOT.

CONCLUSIONS

A model using electronically available data was able to predict antibiotic use prescribed at hospital discharge and showed that some hospitals were more successful in reducing antibiotic overuse at this transition of care. This metric may help hospitals identify opportunities for improved antibiotic stewardship at discharge.

ADD It Up: An Evaluation of Antibiotic Duration at Hospital Discharge at a Community Hospital

BACKGROUND

According to the Centers for Disease Control and Prevention, patients admitted to the hospital are commonly discharged on antibiotic therapy with prolonged courses of therapy, which contributes to excessive antibiotic exposure and adverse events. The purpose of this study was to evaluate total antibiotic duration of therapy at hospital discharge at Indiana University Health Arnett, White Memorial, and Frankfort hospitals.

METHODS

A multicenter, retrospective electronic health record review was conducted from 1 January to 30 June 2019. Patients were included if they were at least 18 years of age, began antibiotic therapy while admitted, and continued antibiotic therapy at hospital discharge for 1 of the following indications: skin/soft tissue infection (SSTI), urinary tract infection (UTI), community-acquired pneumonia (CAP), or acute exacerbation of chronic obstructive pulmonary disease (AECOPD). The number of days of therapy (DOT) of each inpatient and outpatient antibiotic prescribed was collected to calculate the total DOT, which was utilized to determine the appropriateness of the duration of therapy.

RESULTS

Of the 547 patients included, 233 patients (42.6%) had CAP, 120 (21.9%) had UTI, 101 (18.5%) had SSTI, and 93 (17%) had AECOPD. The median duration of antibiotic therapy across all indications was 9 days (interquartile range [IQR], 7-11). Median duration for CAP was 9 days (IQR, 7-10), AECOPD was 7 days (IQR, 5-9), UTI was 8 days (IQR, 6-10), and SSTI was 12 days (IQR, 10-14).

CONCLUSIONS

Excess antimicrobial duration at hospital discharge represents an unmet need of antimicrobial stewardship programs.

Gram-negative bacilli bacteremia: a 7 year retrospective study in a referral Brazilian tertiary-care teaching hospital

Introduction. Bloodstream infection is one of the most frequent and challenging hospital-acquired infections and it is associated with high morbidity, mortality and additional use of healthcare resources.Hypothesis/Gap Statement: Bloodstream infections have consequences for the patient, such as the evolution to mortality and inappropriate empirical antibiotic prescription, especially when caused by multidrug-resistant Gram-negative bacilli.Objective. To assess the impact of bloodstream infection and the status of multidrug resistance (MDR) in the evolution of patients who received inappropriate initial antibiotic therapy.Methods. A retrospective surveillance was conducted on nosocomial bloodstream infections caused by Gram-negative bacilli (GNB) from January 2012 to December 2018 in an adult intensive care unit of a Brazilian tertiary teaching hospital.Results. We identified 270 patients with GNB nosocomial bacteremia. Non-survivors were older (with an average age of 58.8 years vs 46.9 years, P=<0.0001), presented more severe illnesses, were immunosuppressed (73.7 vs 37.6%, P=<0.0001), were more likely to have septic shock (55.8 vs 22.4%, P=<0.0001) and had an increased usage of mechanical ventilators (98.6 vs 89.6%, P=0.0013) than survivors. In a logistic regression model, inappropriate empirical antibiotic therapy was not an independent predictor of mortality, different from mechanical ventilator (P=<0.0001; OR=28.0; 95% CI=6.3-123.6), septic shock (P=0.0051; OR=2.5; 95% CI=1.3-4.9) and immunosuppression (P=0.0066; OR=2.6; 95% CI=1.3-5.2). In contrast, in a separate model, MDR was strongly associated with the prescription of inappropriate initial antibiotic therapy (P=0.0030; OR=5.3; 95% CI=1.7-16.1). The main isolated pathogens were Acinetobacter baumannii (23.6 %) and Klebsiella pneumoniae (18.7 %). The frequency of MDR organisms was high (63.7 %), especially among non-fermenting bacilli (60.9 %), highlighting A. baumannii (81.6 %) and Pseudomonas aeruginosa (41.8 %).Conclusion. Illness severity (septic shock and immunosuppression) and mechanical ventilation were identified as predictors of mortality. Additionally, MDR was a major determinant of inappropriate antibiotic empirical therapy, but not associated with mortality, and both characteristics were not statistically associated with death.