A Single Hospital-Wide Antibiogram is Insufficient to Account for Differences in Antibiotic Resistance Patterns Across Multiple ICUs.

BACKGROUND: Infection is a common cause of mortality within intensive care units (ICUs). Antibiotic resistance patterns and culture data are used to create antibiograms. Knowledge of antibiograms facilitates guiding empiric therapies and reduces mortality. Most major hospitals utilize data collection to create hospital-wide antibiograms. Previous studies have shown significant differences in susceptibility patterns between hospital wards and ICUs. We hypothesize that institutional or combined ICU antibiograms are inadequate to account for differences in susceptibility for patients in individual ICUs. METHODS: Culture and susceptibility data were reviewed over a 1-year period for 13 bacteria in the following ICUs: Surgical/Trauma, Medical, Neuroscience, Burn, and Emergency department. Antibiotic management decisions are made by individual teams. RESULTS: Nine species had sufficient data for inclusion into an All-ICU antibiogram. E coli and S aureus were the most common isolates. Seven species had significant differences in susceptibility patterns between ICUs. E cloacae showed higher rates of resistance to multiple antibiotics in the STICU than other ICUs. P aeruginosa susceptibility rates in the NSICU and BICU were 88% and 92%, respectively, compared to 60% and 55% in the STICU and MICU. Cephalosporins and Aztreonam had reduced efficacy against E coli in the NSICU, however remain effective in other ICUs. CONCLUSIONS: The results of this study show that different ICUs do have variability in antibiotic susceptibility patterns within a single hospital. While this only represents a single institution, it shows that the use of hospital-wide antibiograms is inadequate for creating empiric antibiotic protocols within individual ICUs.

Social Determinants of Health Impact Physical Recovery After Blunt Injury.

As defined by the United States Department of Health and Human Services, the Social Determinants of Health (SDOH) are conditions in the environment that affect health function and outcomes. The SDOH are divided into the following categories: economic stability, education access and quality, health care access and quality, neighborhood and built environment, and social and community content. It is known that SDOH impact long-term health outcomes. The influence that SDOH have on physical recovery after acute injury is less understood, however. In this study, patients who suffered a traumatic blunt injury completed a survey 12-14 months post-injury to assess their SDOH and physical health before and after their injury. The results showed that for the cohort of patients studied SDOH was the greatest predictor of long-term recovery, having a stronger correlation with recovery than injury severity score (ISS) or hospital length of stay (HLOS).

Effects of the COVID-19 Pandemic on the Trauma Population in a Level 1 Trauma Center.

In this study, we evaluated the effects of the pandemic on our trauma population. We performed a retrospective review of the trauma registry in the 2 years prior, and then 2 years during the pandemic. We evaluated age, race, gender, injury severity score (ISS), mechanism of trauma, rate of self-inflicted injury, rate of gunshot wounds (GSW), presence of EtOH, drug screen results, mortality, rate of burn traumas, and zip code of residence. Our query captured 5 054 patients before, and 5 731 during the pandemic. We found no statistical difference in age, gender, mechanism of trauma, rate of self-inflicted injuries, and mortality during the pandemic when compared to before. There were statistically significant differences in race, ISS, rate of GSWs, EtOH use, drug screen results, and burn traumas. Geospatial mapping found a rise in GSWs for zip code 36606. Gun violence and substance use rose in our trauma population during COVID-19.