Scanning the aged to minimize missed injury: An EAST multicenter study.

BACKGROUND: Despite the high incidence of blunt trauma in older adults, there is a lack of evidence-based guidance for computed tomography (CT) imaging in this population. We aimed to identify an algorithm to guide use of a Pan-Scan (Head/C-spine/Torso) or a Selective Scan (Head/C-spine ± Torso). We hypothesized that a patient's initial history and exam could be used to guide imaging. METHODS: We prospectively studied blunt trauma patients aged 65+ at 18 Level I/II trauma centers. Patients presenting >24 h after injury or who died upon arrival were excluded. We collected history and physical elements and final injury diagnoses. Injury diagnoses were categorized into CT body regions of Head/C-spine or Torso (chest, abdomen/pelvis, and T/L spine). Using machine learning and regression modeling as well as a priori clinical algorithms based, we tested various decision rules against our dataset. Our priority was to identify a simple rule which could be applied at the bedside, maximizing sensitivity (Sens) and negative predictive value (NPV) to minimize missed injuries. RESULTS: We enrolled 5,498 patients with 3,082 injuries. Nearly half (47.1%, n = 2,587) had an injury within the defined CT body regions. No rule to guide a Pan-Scan could be identified with suitable Sens/NPV for clinical use. A clinical algorithm to identify patients for Pan-Scan, using a combination of physical exam findings and specific high-risk criteria, was identified and had a Sens of 0.94 and NPV of 0.86 This rule would have identified injuries in all but 90 patients (1.6%) and would theoretically spare 11.9% (655) of blunt trauma patients a torso CT. CONCLUSIONS: Our findings advocate for Head/Cspine CT in all geriatric patients with the addition of torso CT in the setting of positive clinical findings and high-risk criteria. Prospective validation of this rule could lead to streamlined diagnostic care of this growing trauma population. LEVEL OF EVIDENCE: Level 2, Diagnostic Tests or Criteria.

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.

Admission Medication Reconciliation Discrepancies in Trauma Patients: Consistent Nursing Care May Not Be the Answer.

Inadvertent medication reconciliation discrepancies are common among trauma patient populations. We conducted a prospective study at a level 1 trauma center to assess incidence of inadvertent medication reconciliation discrepancies following decreased reliance on short-term nursing staff. Patients and independent sources were interviewed for home medication lists and compared to admission medication reconciliation (AMR) lists. Of the 108 patients included, 37 patients (34%) never received an AMR. Of the 71 patients that had a completed AMR, 42 patients (59%) had one or more errors, with total 154 errors across all patients, for a rate of 3.7 per patient with any discrepancy. Patients taking ≥ 5 medications were significantly more likely to have an incomplete or inaccurate AMR than those taking <5 medications (89% vs 41%, P < .0001). Decreased reliance on short-term nursing staff did not decrease inadvertent admission medication reconciliation discrepancies. Additional interventions to decrease risk of medication administration errors are needed.

Monotherapy Antibiotic Prophylaxis of Lower Extremity Long Bone Type III Open Fractures.

Gustilo type III open fractures involve extensive soft tissue damage and wound contamination that pose significant infection risks. The historical standard for antibiotic prophylaxis has been cefazolin and gentamicin. We conducted a retrospective cohort study of lower extremity type III open fractures treated with ceftriaxone alone for prophylaxis. Eighty-six patients were identified. Nearly all (98%) were managed with appropriate antibiotics, but only 55 (64%) received prophylaxis within 1 hour. Overall, there were 12 infections. This infection rate was not statistically different than the reported literature (14% vs 19%, P = .20). The infection rate between those who received antibiotics within 1 hour was not statistically different from those who got it beyond 1 hour (15% vs 13%, P = .98). In conclusion, the use of ceftriaxone as monotherapy for antibiotic prophylaxis in lower extremity type III open fractures is not statistically different than the use of historic prophylactic regimens.

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.

Incidence and Outcomes of Undiagnosed and Untreated Diabetes Mellitus in Trauma Patients.

Diabetes is a major determinate for mortality in trauma patients. Many diabetics are undiagnosed or poorly controlled. Trauma patients disproportionately come from lower socioeconomic status, making missed diagnoses more likely. We aimed to quantify the incidence of undiagnosed or poorly controlled diabetics assessed at a Level 1 Trauma Center. We did a retrospective chart review of admitted trauma patients over a one-month period. Past Medical History, home medication lists, and Hemoglobin A1c on admission were recorded for each patient. We determined that 30 of 173 trauma patients qualifying for the study were diabetic. Furthermore, 30% of these diabetics were undiagnosed or had poorly controlled diabetes. Undiagnosed pre-diabetics made up 20% of the entire study group. Our data show that 26% of trauma patients would benefit from an intervention for improved glucose control. Trauma centers should consider creating routine clinical practice guidelines to identify at-risk patients and provide intervention for long-term management.

Takotsubo Cardiomyopathy and Trauma: The Role of Injuries as Physical Stressors.

INTRODUCTION: Physical stressors are common predisposing factors for takotsubo cardiomyopathy (TTC). However, the role of traumatic injuries in TTC has not been well defined. This study describes the characteristics of TTC in the broad spectrum of traumatic injuries using the information available in the National Trauma Data Bank (NTDB). MATERIALS AND METHODS: This retrospective study analyzed trauma patients ≥ 18 years old in the NTDB, from 2007 to 2018, with a diagnosis of TTC. RESULTS: A total of 95 TTC diagnoses were found. The median age was 68 years old (interquartile range: 55-80). Patients were predominantly female (67.4%), white (88.4%), and sustained blunt mechanisms of injury (90.5%). Penetrating trauma was most common in males (16%). Most diagnoses were related to extremity trauma (53.7%), followed by head injury (26.3%). The most common severity scores were Glasgow Coma Scale (GCS) > 13 or < 8, and Injury Severity Score (ISS) < 15 or > 25. Males more commonly presented with GCS < 8 (68%), ISS > 25 (33%), high intensive care unit (ICU) admission rate (77.4%), and mechanical ventilation (51.6%). The median duration of the mechanical ventilation was eight days for both sexes. The ICU length of stay (LOS) was six days with a hospital LOS of nine days and a trend toward a longer LOS in males. The in-hospital mortality rate was 11.7% for both sexes. CONCLUSIONS: TTC in traumatic injuries is common at both ends of the severity spectrum and has different sex distribution. TTC patients are predominantly females and have more commonly extremity trauma than head injury. Males are more severely injured and under mechanical ventilation.