Katelyn Rittenhouse

Magnet hospitals are a magnet for higher survival rates at adult trauma centers.

BACKGROUND Little is known about nursing care’s impact on trauma outcomes. The Magnet Recognition Program recognizes hospitals for quality patient care and nursing excellence based on objective standards. We hypothesized that Magnet-designated trauma centers would have improved survival over their non-Magnet counterparts. METHODS All 2009 to 2011 admissions to Pennsylvania’s Level I and II trauma centers with more than 500 admissions during the study period (10 Magnet and 17 non-Magnet hospitals) were extracted from the Pennsylvania Trauma Systems Foundation State Registry. A logistic regression model with mortality as the dependent variable included the following variables: Magnet status, age, sex, admitting temperature, logit transformation of mortality probability predicted by the Trauma Mortality Prediction Model (TMPM-ais), systolic blood pressure, mechanism of injury, paralytic drug use, and Glasgow Coma Scale motor (GCSm) score. RESULTS A total of 73,830 patients from the Pennsylvania Trauma Outcome Study database met inclusion criteria for this study. The Magnet and non-Magnet hospital groups were statistically indistinguishable with respect to level of designation, medical school association, surgical residency programs, in-house surgeons, and urban locations. Patients admitted to a Magnet hospital had a significantly decreased odds of mortality when compared with their non-Magnet counterparts (odds ratio, 0.83; 95% confidence interval, 0.70–0.99; p = 0.033), when controlling for numerous factors. Overall, the model has outstanding discrimination with a receiver operating characteristic curve of 0.93. CONCLUSION Admission to a Magnet-designated hospital is associated with a 20% reduction in mortality. We believe that the Magnet program’s attention to nursing competence has important consequences for trauma patients, as reflected in the improved survival rates in trauma patients admitted to Magnet-designated hospitals. LEVEL OF EVIDENCE Epidemiologic/prognostic study, level III. Care management study, level IV.

Hyponatremia as a fall predictor in a geriatric trauma population

INTRODUCTION Approximately one in three older adults fall each year, resulting in a significant proportion of geriatric traumatic injuries. In a hospital with a focus on geriatric fall prevention, we sought to characterize this population to develop targeted interventions. As mild hyponatremia, defined as a serum sodium <135meq/L, has been reported to be associated with falls, unsteadiness and attention deficits, we hypothesized that hyponatremia is associated with falls in our geriatric trauma population. METHODS Gender, age, pre-existing conditions (cardiac disease, diabetes, hematologic disorder, liver disease, malignancy, musculoskeletal disorder, neurological disorder, obesity, psychiatric disorder, pulmonary disease, renal disease, thyroid disease), mechanism of injury and admitting serum sodium level were queried for all geriatric trauma admissions from 2008 to 2011. Mechanism of injury was coded as falls admissions and non-falls admissions. Admitting serum sodium levels were coded as hyponatremic (<135mmol/L) and not hyponatremic (≥135mmol/L). RESULTS Of the 2370 geriatric trauma admissions during the study period, there were 1841 (77.7%) falls admissions and 293 (12.4%) patients who were hyponatremic. Gender, age, neurological disorder, hematologic disorder, and hyponatremia were found to be significant predictors of falls in both univariate and multivariable analyses. CONCLUSION Hyponatremic patients are significantly more likely to be admitted for a fall than non-hyponatremic patients, when adjusting for age, neurological disorder, and hematologic disorder. Consequently, hyponatremia identification and management should be an integral part of any geriatric trauma fall prevention programme. Additionally, if hyponatremia is found during a geriatric fall workup, it should be corrected prior to discharge and closely monitored by a primary care physician to prevent recurrent episodes of falls.

An analysis of geriatric recidivism in the era of accountable care organizations.

BACKGROUND To date, there are almost 500 accountable care organizations (ACOs) across the United States emphasizing cost-effective care. Readmission largely impacts health care cost; therefore, we sought to determine factors associated with geriatric trauma readmissions (recidivism) within our institution. METHODS All admissions from 2000 to 2011 attributed to patients 65 years or older at our Level II trauma center, recently verified by Medicare as an ACO, were queried. Patients were classified as recidivist or nonrecidivist. The first admissions of recidivist patients were compared with the nonrecidivist admissions with respect to sex, age, race, primary insurance, admission Glasgow Coma Scale (GCS) score, Injury Severity Score (ISS), hospital length of stay, mechanism of injury (MOI), preexisting conditions, and discharge destination. Factors found to be significant predictors of recidivism in univariate analyses were subsequently incorporated into a multivariate logistic regression model. In addition, the second admission’s MOI was compared with the first admission’s MOI, and the proportion of first, second, and third admissions attributed to falls was calculated. A p < 0.05 was significant. RESULTS Between 2000 and 2011, a total of 4,963 unique patients were admitted to the trauma center at 65 years or older. This population was composed of 287 recidivists (5.8%) and 4,676 nonrecidivists (94.2%). When placed in a multivariate logistic regression, female sex, admission GCS score of 15, history of head trauma, and preexisting pulmonary disease were identified as significant predictors of recidivism. A trend toward increasing proportion of injuries attributed to falls was found with each subsequent trauma admission (81.5% [234 of 287] of first admissions, 88.2% [253 of 287] of second admissions, and 90.5% [19 of 21] of third admissions). CONCLUSION Our study identifies specific factors that should be targeted by social service and prevention resources to inhibit recidivism in the elderly. In the brave new world of ACOs, trauma centers must identify high-risk populations for the consumption of limited resources. LEVEL OF EVIDENCE Care management study, level IV. Prognostic study, level III.

Vena Cava Filter Use in Trauma and Rates of Pulmonary Embolism, 2003-2015

Importance Vena cava filter (VCF) placement for pulmonary embolism (PE) prophylaxis in trauma is controversial. Limited research exists detailing trends in VCF use and occurrence of PE over time. Objective To analyze state and nationwide temporal trends in VCF placement and PE occurrence from 2003 to 2015 using available data sets. Design, Setting, and Participants A retrospective trauma cohort study was conducted using data from the Pennsylvania Trauma Outcome Study (PTOS) (461 974 patients from 2003 to 2015), the National Trauma Data Bank (NTDB) (5 755 095 patients from 2003 to 2014), and the National (Nationwide) Inpatient Sample (NIS) (24 449 476 patients from 2003 to 2013) databases. Main Outcomes and Measures Temporal trends in VCF placement and PE rates, filter type (prophylactic or therapeutic), and established predictors of PE (obesity, pregnancy, cancer, deep vein thrombosis, major procedure, spinal cord paralysis, venous injury, lower extremity fracture, pelvic fracture, central line, intracranial hemorrhage, and blood transfusion). Prophylactic filters were defined as VCFs placed before or without an existing PE, while therapeutic filters were defined as VCFs placed after a PE. Results Of the 461 974 patients in PTOS, the mean (SD) age was 47.2 (26.4) and 61.6% (284 621) were men; of the 5 755 095 patients in NTDB, the mean age (SD) was 42.0 (24.3) and 63.7% (3 666 504) were men; and of the 24 449 476 patients in NIS, the mean (SD) age was 58.0 (25.2) and 49.7% (12 160 231) were men. Of patients receiving a filter (11 405 in the PTOS, 71 029 in the NTDB, and 189 957 in the NIS), most were prophylactic VCFs (93.6% in the PTOS, 93.5% in the NTDB, and 93.3% in the NIS). Unadjusted and adjusted temporal trends for the PTOS and NTDB showed initial increases in filter placement followed by significant declines (unadjusted reductions in VCF placement rates, 76.8% in the PTOS and 53.3% in the NTDB). The NIS demonstrated a similar unadjusted trend, with a slight increase and modest decline (22.2%) in VCF placement rates over time; however, adjusted trends showed a slight but significant increase in filter rates. Adjusted PE rates for the PTOS and NTDB showed significant initial increases followed by slight decreases, with limited variation during the declining filter use periods. The NIS showed an initial increase in PE rates followed by a period of stagnation. Conclusions and Relevance Despite a precipitous decline of VCF use in trauma, PE rates remained unchanged during this period. Taking this association into consideration, VCFs may have limited utility in influencing rates of PE. More judicious identification of at-risk patients is warranted to determine individuals who would most benefit from a VCF.

A bitter pill to swallow: dysphagia in cervical spine injury

BACKGROUND Dysphagia is a common complication after cervical spine trauma with spinal cord injury. We sought to characterize the prevalence of dysphagia within a total cervical spinal injury (CSI) population, considering the implications of spinal cord injury status and age on dysphagia development. We hypothesized that while greater rates of dysphagia would be found in geriatric and spinal cord-injured subgroups, all patients presenting with CSI would be at heightened risk for swallowing dysfunction. METHODS All trauma admissions to a level II trauma center from January 2010 to April 2014 with CSI were retrospectively reviewed. CSI was classified as any ligamentous or cervical spinous fracture with or without cord injury. Patients failing a formal swallow evaluation were considered dysphagic. The implications of dysphagia development on age and spinal cord injury status were assessed in univariate and multivariate analyses. RESULTS A total of 481 patients met study inclusion criteria, of which 123 (26%) developed dysphagia. Within the dysphagic subpopulation, 90 patients (73%) were geriatric, and 23 (19%) sustained spinal cord injury. The dysphagic subpopulation was predominantly free from spinal cord injury (81%). Multivariate analyses found age (adjusted odds ratio: 1.06; 95% confidence interval 1.04-1.07; P < 0.001) and spinal cord injury (adjusted odds ratio: 2.69; 95% confidence interval 1.30-5.56; P = 0.008) to be significant predictors of dysphagia development. CONCLUSIONS Despite spinal cord-injured patients being at increased risk for dysphagia, most of the dysphagic subpopulation was free from spinal cord injury. Geriatric and CSI patients with or without cord injury should be at heightened suspicion for dysphagia development.

Breaking down the barriers! Factors contributing to barrier days in a mature trauma center.

BACKGROUND As we enter the brave new world of the Patient Protection and Affordable Care Act of 2010, it is imperative that trauma centers provide not only excellent but also cost-effective trauma care. To that end, we sought to determine those factors that contribute significantly to barrier days (BDs), when a patient is medically cleared for discharge but unable to leave the hospital. We hypothesized that there would be significant demographic and payor factors associated with BDs. METHODS All trauma admissions to a Level II trauma center discharged alive from 2010 to 2012 were queried from the trauma registry. BDs were identified and recorded at daily sign-out. Patients with a hospital length of stay of 24 hours or less or transferred to another hospital were excluded. Univariate logistic regression was used to analyze which factors were significant (p ⩽ 0.05) for BDs. Significant variables were then included in a multivariate logistic regression model. RESULTS A total of 3,056 patients were included in the study, 105 (3.44%) of whom had at least one BD. Multivariate analysis revealed that patients awaiting nursing home placement and rehabilitation placement were at 6.39 and 2.79 times higher odds of having significant barriers to discharge, respectively, compared with patients who were discharged home. The multivariate model also showed that Medicaid coverage, one or more comorbidities, Injury Severity Score of 9 or greater, and one or more ventilation days had a significant correlation with the incidence of BDs. CONCLUSION This study suggests that discharge destination is a significant factor associated with BDs. Understanding what type of patient is prone to develop barriers to discharge will allow case managers and social workers to intervene with discharge planning early in that patient’s hospital course to secure placement and possibly reduce health care costs and improve functional outcome. LEVEL OF EVIDENCE Prognostic/epidemiologic study, level III.

Improving preterm newborn identification in low-resource settings with machine learning

Background Globally, preterm birth is the leading cause of neonatal death with estimated prevalence and associated mortality highest in low‐ and middle‐income countries (LMICs). Accurate identification of preterm infants is important at the individual level for appropriate clinical intervention as well as at the population level for informed policy decisions and resource allocation. As early prenatal ultrasound is commonly not available in these settings, gestational age (GA) is often estimated using newborn assessment at birth. This approach assumes last menstrual period to be unreliable and birthweight to be unable to distinguish preterm infants from those that are small for gestational age (SGA). We sought to leverage machine learning algorithms incorporating maternal factors associated with SGA to improve accuracy of preterm newborn identification in LMIC settings. Methods and Findings This study uses data from an ongoing obstetrical cohort in Lusaka, Zambia that uses early pregnancy ultrasound to estimate GA. Our intent was to identify the best set of parameters commonly available at delivery to correctly categorize births as either preterm (<37 weeks) or term, compared to GA assigned by early ultrasound as the gold standard. Trained midwives conducted a newborn assessment (<72 hours) and collected maternal and neonatal data at the time of delivery or shortly thereafter. New Ballard Score (NBS), last menstrual period (LMP), and birth weight were used individually to assign GA at delivery and categorize each birth as either preterm or term. Additionally, machine learning techniques incorporated combinations of these measures with several maternal and newborn characteristics associated with prematurity and SGA to develop GA at delivery and preterm birth prediction models. The distribution and accuracy of all models were compared to early ultrasound dating. Within our live‐born cohort to date (n = 862), the median GA at delivery by early ultrasound was 39.4 weeks (IQR: 38.3 ‐ 40.3). Among assessed newborns with complete data included in this analysis (n = 458), the median GA by ultrasound was 39.6 weeks (IQR: 38.4 ‐ 40.3). Using machine learning, we identified a combination of six accessible parameters (LMP, birth weight, twin delivery, maternal height, hypertension in labor, and HIV serostatus) that can be used by machine learning to outperform current GA prediction methods. For preterm birth prediction, this combination of covariates correctly classified >94% of newborns and achieved an area under the curve (AUC) of 0.9796. Conclusions We identified a parsimonious list of variables that can be used by machine learning approaches to improve accuracy of preterm newborn identification. Our best performing model included LMP, birth weight, twin delivery, HIV serostatus, and maternal factors associated with SGA. These variables are all easily collected at delivery, reducing the skill and time required by the frontline health worker to assess GA.

The Effect of Time to International Normalized Ratio Reversal on Intracranial Hemorrhage Evolution in Patients With Traumatic Brain Injury

The incidence of geriatric traumatic brain injury (TBI) is increasing throughout the United States, with many of these patients taking anticoagulation (AC) medication. The purpose of this investigation was to determine the effect of time to international normalized ratio (INR) reversal on intracranial hemorrhage evolution in TBI patients taking prehospital AC medication. We hypothesized that rapid reversal of INR improves outcomes of head-injured patients taking AC medication. Admissions to a Level II trauma center between February 2011 and December 2013 were reviewed. Patients presenting with an initial INR of 2.0 or more, computed tomographic scan positive for intracranial hemorrhage, and INR reversal to less than 1.5 in hospital were included. Patients with nontraumatic intracranial hemorrhage were excluded. Reversal of INR was achieved using some combination of fresh frozen plasma, prothrombin complex concentrate, and vitamin K. A binary logistic regression model assessed the adjusted impact of rapid INR reversal on intracranial hemorrhage evolution. Significance was defined as p < .05. One hundred subjects were included. Four patients with nontraumatic intracranial hemorrhage were excluded, resulting in a final study population of 96 patients. The most common intracranial hemorrhage in the study population was subarachnoid hemorrhage (71.9%), followed by subdural hemorrhage (35.4%). Reversal of INR of less than 5 hr was not associated with intracranial hemorrhage evolution; however, reversal of less than 10 hr was found to be associated with a decreased odds ratio for intracranial hemorrhage evolution (p = .043). Rapid reversal of elevated INR levels (<10 hr) may decrease intracranial hemorrhage evolution in TBI patients taking prehospital AC medication.

An alarming presentation of Creutzfeldt–Jakob disease following a self-inflicted gunshot wound to the head

Transmissible spongiform encephalopathies (TSE), also known as prion diseases, are characterized by rapid and fatal neurological decline. They not only detrimentally affect the patient, but also present additional challenges to healthcare systems due to the infectivity of the tissues and the difficulty of inactivating the prion. The most common TSE is Creutzfeldt-Jakob disease (CJD), which can occur after familial, spontaneous or acquired transmission. TSEs received more attention after the development of variant CJD (vCJD), also known as Mad Cow Disease, in the UK during the mid-1990s. Unlike familial or spontaneous CJD, this variant was connected to consumption of cattle contaminated with the prion disease, bovine spongiform encephalopathy.This development increased interest in the etiology of CJD and other TSEs and the risk it presents as an infectious disease. The following details the case of a 59-year-old male infected with CJD presented to our level II trauma center for treatment following a self-inflicted gunshot wound to the head.