Clotting Propensity in Trauma Patients According to Marijuana Use: A Descriptive Analysis.

Marijuana use has been reported to promote hypercoagulable states among trauma patients, particularly respecting venous thromboembolism (VTE), a major contributor to morbidity and mortality in patients sustaining traumatic injury. We sought to investigate this further through a retrospective, single institutional study performed from January 2018 through June 2021, utilizing data from patients presenting to a Level 1 Trauma Center as a trauma activation. We observed less frequent VTE development in the marijuana-positive group compared to the marijuana-negative group, with patient thromboelastography revealing a longer mean R-time in the marijuana-positive group. Overall occurrence of VTE was too low for definitive conclusions, but a trend toward reduction in VTE frequency among marijuana users compared to nonusers was noted. More studies with larger populations and more VTE occurrences are needed to confirm a potential correlation between marijuana use and VTE development.

Neonatal Fever in the COVID-19 Pandemic: Odds of a Serious Bacterial Infection.

OBJECTIVES: A sepsis workup is recommended in young infants 56 days or younger with fever to rule out a serious bacterial infection (SBI). Given the reduction in non-severe acute respiratory syndrome - coronavirus 2 viral infections observed in multiple studies during the coronavirus diseases 2019 (COVID-19) pandemic, we sought to determine if the reduction in viral infections led to a change in the incidence of SBI in this vulnerable patient population. METHODS: We performed a multicenter, retrospective study of infants 56 days or younger presenting with fever to emergency departments of 6 community hospitals. We compared the incidence of SBIs, viral meningitis, and viral bronchiolitis during March 2020 to February 2021 (pandemic year) with the same calendar months in the 2 preceding years (prepandemic years). RESULTS: From March 2018 to February 2021, 543 febrile infants presented to the emergency departments, 95 during the pandemic year (March 2020 to February 2021) compared with 231 and 217 in the prepandemic years (March 2018 to February 2019 and March 2019 to February 2020, respectively).During the pandemic year, 28.4% of infants (27 of 95) were diagnosed with an SBI compared with 11.7% and 6.9% (P < 0.001) in the prepandemic years (27 of 231 and 15 of 217, respectively). Five patients were diagnosed with bacterial meningitis over the 3-year period, 4 of them during the pandemic year (4 of 95 [4.2%]). Positivity for viral cerebrospinal fluid polymerase chain reaction during the pandemic year was 6.4% (3 of 47) compared with 20.8% (25 of 120) and 20.4% (23 of 113) in prepandemic years (P = 0.070). During the pandemic year, 2.1% (2 of 95) febrile young infants were admitted with a comorbid diagnosis of bronchiolitis compared with 4.3% and 6.0% in the prepandemic years (P = 0.310). CONCLUSIONS: The COVID-19 pandemic led to an increase in the incidence of SBIs in febrile infants 56 days or younger, likely a result of reduction in non-severe acute respiratory syndrome - coronavirus 2 viral infections. Greater vigilance is thus warranted in the evaluation of febrile infants during the COVID-19 pandemic.

Comparing Smoking Cessation Interventions among Underserved Patients Referred for Lung Cancer Screening: A Pragmatic Trial Protocol.

Smoking burdens are greatest among underserved patients. Lung cancer screening (LCS) reduces mortality among individuals at risk for smoking-associated lung cancer. Although LCS programs must offer smoking cessation support, the interventions that best promote cessation among underserved patients in this setting are unknown. This stakeholder-engaged, pragmatic randomized clinical trial will compare the effectiveness of four interventions promoting smoking cessation among underserved patients referred for LCS. By using an additive study design, all four arms provide standard "ask-advise-refer" care. Arm 2 adds free or subsidized pharmacologic cessation aids, arm 3 adds financial incentives up to $600 for cessation, and arm 4 adds a mobile device-delivered episodic future thinking tool to promote attention to long-term health goals. We hypothesize that smoking abstinence rates will be higher with the addition of each intervention when compared with arm 1. We will enroll 3,200 adults with LCS orders at four U.S. health systems. Eligible patients include those who smoke at least one cigarette daily and self-identify as a member of an underserved group (i.e., is Black or Latinx, is a rural resident, completed a high school education or less, and/or has a household income <200% of the federal poverty line). The primary outcome is biochemically confirmed smoking abstinence sustained through 6 months. Secondary outcomes include abstinence sustained through 12 months, other smoking-related clinical outcomes, and patient-reported outcomes. This pragmatic randomized clinical trial will identify the most effective smoking cessation strategies that LCS programs can implement to reduce smoking burdens affecting underserved populations. Clinical trial registered with clinicaltrials.gov (NCT04798664). Date of registration: March 12, 2021. Date of trial launch: May 17, 2021.

Interventions to Increase Multivitamin Use Among Women in the Interconception Period: An IMPLICIT Network Study.

INTRODUCTION: Each year, 3% of infants in the Unites States (US) are born with congenital anomalies, including 3000 with neural tube defects. Multivitamins (MVIs) including folic acid reduce the incidence of these birth defects. Most women do not take recommended levels of folic acid prior to conception or during the interconception period. METHODS: The Interventions to Minimize Preterm and Low Birth Weight Infants through Continuous Improvement Techniques (IMPLICIT) ICC model was implemented to screen mothers who attend well child visits (WCVs) for their children aged 0-24 months. Mothers were queried for maternal behavioral risks known to affect pregnancy including multivitamin use and use of family planning methods to enhance birth spacing. When appropriate, interventions targeted at those at risk behaviors are offered. A mixed effects logistic regression model was used to calculate the odds ratio (OR) of behavior change in MVI use among mothers who reported not using MVIs. RESULTS: 37.7% of mothers reported not using MVIs at WCVs. 64.0% of mothers received an intervention to improve MVI use in this model. Mothers who received an intervention were more likely to report taking an MVI at the subsequent WCV if they received advice to take MVIs (OR 1.64) or directly received MVI samples (OR 3.09). CONCLUSIONS: Dedicated maternal counseling during pediatric WCVs is an opportunity to influence behavioral change in women at risk of becoming pregnant. Direct provision of MVIs increases the odds that women will report taking them at a higher rate than provider advice or no counseling at all.

An analysis of pediatric social vulnerability in the Pennsylvania trauma system.

BACKGROUND: The social vulnerability index (SVI) is used to assess resilience to external influences that may affect human health. Social vulnerability has been noted to be a barrier to healthcare access for pediatric patients. We hypothesized that Pennsylvania (PA) pediatric trauma patients high on the social vulnerability index would have significantly lower rates of rehab admission following admission to a hospital for traumatic injury. METHODS: The SVI was determined for each PA zip code area utilizing the census tract based 2014 SVI provided by the CDC along with a weighted crosswalk between census tracts and zip code areas using the Housing and Urban Development zip code crosswalk files. The rate of the uninsured population was extracted from the CDC SVI files in addition to other US Census variables based upon estimates from the 2014 American Community Survey (ACS). We also included the individual primary payer status of each subject. Pediatric (age <15 years) trauma admissions with in-hospital mortality excluded, were extracted from the PA Healthcare Cost Containment Council (PHC4) for all hospital admissions for the period of 2003-2015 (n = 63,545). Complete case analysis was conducted based upon the final model providing a sample of 52,794. Cases were coded as rehab patients based upon discharge status (n = 603; 1.1%). A multi-level logistic model was used to determine if subjects had a higher odds of being discharged to rehab based on SVI, undertriage rates of their zip code area of residence and their own primary payer status; this was adjusted for age, multi-system injury and a head, chest or abdomen injury with abbreviate injury scale (AIS) severity > = 3. RESULTS: SVI and undertriage rates of the zip code areas of residence were not significantly associated with admission to rehab. The individual primary payer status of the subject was significantly associated with admission to rehab (OR 95%CI vs. self/uninsured; Medicaid 3.65 1.84-7.24; Commercial = 3.09 1.56-6.11; other/unknown = 2.85 1.02-7.93). Admission to rehab was also significantly associated with age, injury severity (ISS), head or chest injury with AIS scores > = 3, year of admission and hospital type. CONCLUSION: Individual patient level factors (primary payer of patient) may be associated with the odds of rehab admission rather than neighborhood factors. LEVEL OF EVIDENCE: Epidemiologic: Level III.

The geriatric trauma patient: A neglected individual in a mature trauma system.

BACKGROUND: Those older than 65 years represent the fastest growing demographic in the United States. As such, their care has been emphasized by trauma entities such as the American College of Surgeons Committee on Trauma. Unfortunately, much of that focus has been of their care once they reach the hospital with little attention on the access of geriatric trauma patients to trauma centers (TCs). We sought to determine the rate of geriatric undertriage (UT) to TCs within a mature trauma system and hypothesized that there would be variation and clustering of the geriatric undertriage rate (UTR) within a mature trauma system because of the admission of geriatric trauma patient to nontrauma centers (NTCs). METHODS: From 2003 to 2015, all geriatric (age >65 years) admissions with an Injury Severity Score of greater than 9 from the Pennsylvania Trauma Systems Foundation (PTSF) registry and those meeting trauma criteria (International Classification of Diseases, Ninth Revision: 800-959) from the Pennsylvania Health Care Cost Containment Council (PHC4) database were included. Undertriage rate was defined as patients not admitted to TCs (n = 27) divided by the total number of patients as from the PHC4 database. The PHC4 contains all inpatient admissions within Pennsylvania (PA), while PTSF reports admissions to PA TCs. The zip code of residence was used to aggregate calculations of UTR as well as other aggregate patient and census demographics, and UTR was categorized into lower, middle box, and upper quartiles. ArcGIS Desktop: Version 10.7, ESRI, Redlands, CA and GeoDa: Version 1.14.0, Open source license were used for geospatial mapping of UT with a spatial empirical Bayesian smoothed UTR, and Stata: Version 16.1, Stata Corp., College Station TX was used for statistical analyses. RESULTS: Pennsylvania Trauma Systems Foundation had 58,336 cases, while PHC4 had 111,626 that met the inclusion criteria, resulting in a median (Q1-Q3) smoothed UTR of 50.5% (38.2-60.1%) across PA zip code tabulation areas. Geospatial mapping reveals significant clusters of UT regions with high UTR in some of the rural regions with limited access to a TC. The lowest quartile UTR regions tended to have higher population density relative to the middle or upper quartile UTR regions. At the patient level, the lowest UTR regions had more racial and ethnic diversity, a higher injury severity, and higher rates of treatment at a TC. Undertriage rate regions that were closer to NTCs had a higher odds of being in the upper UTR quartile; 4.48 (2.52-7.99) for NTC with less than 200 beds and 8.53 (4.70-15.47) for NTC with 200 beds or greater compared with zip code tabulation areas with a TC as the closest hospital. CONCLUSION: There are significant clusters of geriatric UT within a mature trauma system. Increased emphasis needs to focus prehospital on identifying the severely injured geriatric patient including specific geriatric triage protocols. LEVEL OF EVIDENCE: Epidemiological, Level III.

An analysis of outcomes and predictors of intensive care unit bouncebacks in a mature trauma system.

BACKGROUND: With the recent birth of the Pennsylvania TQIP Collaborative, statewide data identified unplanned admissions to the intensive care unit (ICU) as an overarching issue plaguing the state trauma community. To better understand the impact of this unique population, we sought to determine the effect of unplanned ICU admission/readmission on mortality to identify potential predictors of this population. We hypothesized that ICU bounceback (ICUBB) patients would experience increased mortality compared with non-ICUBB controls and would likely be associated with specific patterns of complications. METHODS: The Pennsylvania Trauma Outcome Study database was retrospectively queried from 2012 to 2015 for all ICU admissions. Unadjusted mortality rates were compared between ICUBB and non-ICUBB counterparts. Multilevel mixed-effects logistic regression models assessed the adjusted impact of ICUBB on mortality and the adjusted predictive impact of 8 complications on ICUBB. RESULTS: A total of 58,013 ICU admissions were identified from 2012 to 2015. From these, 53,715 survived their ICU index admission. The ICUBB rate was determined to be 3.82% (2,054/53,715). Compared with the non-ICUBB population, ICUBB patients had a significantly higher mortality rate (12% vs. 8%; p < 0.001). In adjusted analysis, ICUBB was associated with a 70% increased odds ratio for mortality (adjusted odds ratio, 1.70; 95% confidence interval, 1.44-2.00; p < 0.001). Adjusted analysis of predictive variables revealed unplanned intubation, sepsis, and pulmonary embolism as the strongest predictors of ICUBB. CONCLUSION: Intensive care unit bouncebacks are associated with worse outcomes and are disproportionately burdened by respiratory complications. These findings emphasize the importance of the TQIP Collaborative in identifying statewide issues in need of performance improvement within mature trauma systems. LEVEL OF EVIDENCE: Epidemiological study, level III.

A comparison of adolescent penetrating trauma patients managed at pediatric versus adult trauma centers in a mature trauma system.

BACKGROUND: While there is little debate that pediatric trauma centers (PTC) are uniquely equipped to manage pediatric trauma patients, the extent to which adolescents benefit from treatment there remains controversial. We sought to elucidate differences in management approach and outcome between PTC and adult trauma centers (ATC) for the adolescent penetrating trauma population. We hypothesized that improved mortality would be observed at ATC for this subset of patients. METHODS: Adolescent patients (age, 15-18 years), presenting to Pennsylvania-accredited trauma centers between 2003 and 2017 with penetrating injury, were queried from the Pennsylvania Trauma Outcome Study database. Dead on arrival, transfer patients, and those admitted to a Level III or Level IV trauma center were excluded from analysis. Patient length of stay, number of complications, surgical intervention, and mortality were compared between ATC and PTC. Multilevel mixed effects logistic regression models with trauma center as the clustering variable were used to assess the impact of center type (ATC/PTC) on management approach and mortality adjusted for appropriate covariates. RESULTS: A total of 2,630 adolescent patients met inclusion criteria (PTC: n = 428 [16.3%]; ATC: n = 2,202 [83.7%]). Pediatric trauma centers had a lower adjusted odds of mortality (adjusted odds ratio [AOR], 0.35; 95% confidence interval [CI], 0.17-0.74; p = 0.006) and a lower adjusted odds of surgery (AOR, 0.67; 95% CI, 0.0.48-0.93; p = 0.016) than their ATC counterparts. There were no differences in complication rates (AOR, 0.94; 95% CI, 0.57-1.55; p = 0.793) or length of stay longer than 4 days (AOR, 0.95; 95% CI, 0.61-1.48; p = 0.812) between the PTCs and ATCs. There were also differences in penetrating injury type between PTC and ATC. CONCLUSION: The adolescent penetrating trauma patient population treated at PTC had less surgery performed with improved mortality compared with ATC. LEVEL OF EVIDENCE: Therapeutic, Level IV.

A preliminary analysis of Level IV trauma centers within an organized trauma system.

BACKGROUND: The effect of Level IV trauma center (TC) accreditation within an existing trauma network remains understudied. This study compared preaccreditation to postaccreditation data from Level IV TCs within a mature trauma system in Pennsylvania to determine whether TC designation affected time to and/or rate of transfer to definitive care. Level IV TCs were hypothesized to have a decreased time to transfer following accreditation and improved mortality. METHODS: The Pennsylvania Trauma Systems Foundation collects predesignation and postdesignation data from hospitals pursuing accreditation. Data from Pennsylvania Trauma Systems Foundation between 2012 and 2017 were analyzed. Variables of interest included patient demographics, injury severity, mortality, and incidence of surgical interventions precredentialingto postcredentialing. A multilevel mixed-effects logistic regression model assessed the adjusted impact of Level IV TC accreditation on transfer rate. ArcGIS Desktop was used for geospatial mapping of lives and geographic area covered by the addition of Level IV TCs in Pennsylvania. RESULTS: Five hospitals underwent Level IV credentialing from 2012 to 2017, providing data on 5,076 cases (pre, 2,395 [47.2%]; post, 2,681 [52.8%]). No significant difference in age, admission Glasgow Coma Scale score, or shock index was observed preaccreditation to postaccreditation. A difference in transfer rate was observed after credentialing in unadjusted (62.7% vs. 63.3%; p < 0.014) and adjusted analyses (adjusted odds ratios, 1.13, p = 0.389). There was a trend toward reduced odds of mortality postcredentialing (adjusted odds ratios, 0.59, p = 0.261). Major surgical intervention decreased (Pre, 0.42%; Post, 0.04%; p = 0.004). CONCLUSION: Level IV TC accreditation has beneficial effects on increased transfer rates and may improve mortality. It is important to continue to observe the impact of Level IV TCs on patient outcomes within a mature trauma system. LEVEL OF EVIDENCE: Prognostic and epidemiological, level III.

An analysis of pediatric trauma center undertriage in a mature trauma system.

BACKGROUND: Improved mortality as a result of appropriate triage has been well established in adult trauma and may be generalizable to the pediatric trauma population as well. We sought to determine the overall undertriage rate (UTR) in the pediatric trauma population within Pennsylvania (PA). We hypothesized that a significant portion of pediatric trauma population would be undertriaged. METHODS: All pediatric (age younger than 15) admissions meeting trauma criteria (International Classification of Diseases, Ninth Revision: 800-959) from 2003 to 2015 were extracted from the Pennsylvania Health Care Cost Containment Council (PHC4) database and the Pennsylvania Trauma Systems Foundation (PTSF) registry. Undertriage was defined as patients not admitted to PTSF-verified pediatric trauma centers (n = 6). The PHC4 contains inpatient admissions within PA, while PTSF only reports admissions to PA trauma centers. ArcGIS Desktop was used for geospatial mapping of undertriage. RESULTS: A total of 37,607 cases in PTSF and 63,954 cases in PHC4 met criteria, suggesting UTR of 45.8% across PA. Geospatial mapping reveals significant clusters of undertriage regions with high UTR in the eastern half of the state compared to low UTR in the western half. High UTR seems to be centered around nonpediatric facilities. The UTR for patients with a probability of death 1% or less was 39.2%. CONCLUSION: Undertriage is clustered in eastern PA, with most areas of high undertriage located around existing trauma centers in high-density population areas. This pattern may suggest pediatric undertriage is related to a system issue as opposed to inadequate access. LEVEL OF EVIDENCE: Retrospective study, without negative criteria, Level III.

Delivering Interconception Care During Well-Child Visits: An IMPLICIT Network Study.

BACKGROUND: Preterm birth, birth defects, and unintended pregnancy are major sources of infant and maternal morbidity, mortality, and associated resource use in American health care. Interconception Care (ICC) is recommended as a strategy to improve birth outcomes by modifying maternal risks between pregnancies, but no established model currently exists. The Interventions to Minimize Preterm and Low Birth Weight Infants through Continuous Improvement Techniques (IMPLICIT) Network developed and implemented a unique approach to ICC by assessing mothers during their baby's well-child visits (WCVs) up to 24 months. METHODS: Mothers who accompanied their children to WCVs at eleven eastern US family medicine residency programs underwent screening for four risk factors (tobacco use, depression risk, contraception use to avoid unintended pregnancy and prolong interpregnancy interval, and use of a multivitamin with folic acid). Positive screens in women were addressed through brief interventions or referrals to treatment. RESULTS: Mothers accompanied their babies to 92.7% of WCVs. At more than half of WCVs (69.1%), mothers were screened for presence of ICC behavioral risks, although significant practice variation existed. Risk factors were identified at significant rates (tobacco use, 16.2%; depression risk, 8.1%; lack of contraception use, 28.2%; lack of multivitamin use, 45.4%). Women screened positive for 1 or more ICC risk factor at 64.6% of WCVs. Rates of documented interventions for women who screened positive were also substantial (tobacco use, 80.0%; depression risk, 92.8%; lack of contraception use, 76.0%; lack of multivitamin use, 58.2%). CONCLUSION: WCVs provide a reliable point of contact with mothers and a unique opportunity to assess and address behavioral risks for future poor birth outcomes.

Early neurological deterioration in older adults with traumatic brain injury.

INTRODUCTION: Traumatic brain injuries (TBIs) and resulting fatalities among older adults increased considerably in recent years. Neurological deterioration often goes unrecognized at the injury scene and patients arrive at emergency departments with near-normal Glasgow Coma Scale (GCS) scores. This study examined the proportion of older adults experiencing early neurological deterioration (prehospital to emergency department), associated factors, and association of the magnitude of neurological deterioration with TBI severity. METHODS: This secondary analysis of National Trauma Data Bank Research Datasets included patients who were age ⩾65, sustained a TBI, and transported from the injury scene to an emergency department. Data analysis included chi-square analysis, t-tests, and logistic regression. Long-term anticoagulant/antiplatelet therapy was not associated with deterioration. RESULTS: Of the sample of 91,886 patients, 13,913 (15.1%) experienced early neurological deterioration. Adjusting for covariates, age, gender, head AISmax injury severity, and probability of death were associated with early deterioration. Patients with severe and critical head injuries had the highest odds of early neurological deterioration (OR=1.41 [CI=1.22-1.63] and OR=1.98 [CI=1.63-2.40], p<0.001). DISCUSSION/CONCLUSIONS: Prehospital providers, nurses, physicians, and other providers have opportunities to optimize outcomes from older adult TBI through early recognition of neurological deterioration, rapid transport to facilities for definitive treatment, and targeted rehabilitation.

Undertriage in trauma: Does an organized trauma network capture the major trauma victim? A statewide analysis.

BACKGROUND: Proper triage of critically injured trauma patients to accredited trauma centers (TCs) is essential for survival and patient outcomes. We sought to determine the percentage of patients meeting trauma criteria who received care at non-TCs (NTCs) within the statewide trauma system that exists in the state of Pennsylvania. We hypothesized that a substantial proportion of the trauma population would be undertriaged to NTCs with undertriage rates (UTR) decreasing with increasing severity of injury. METHODS: All adult (age ≥15) hospital admissions meeting trauma criteria (ICD-9, 800-959; Injury Severity Score [ISS], > 9 or > 15) from 2003 to 2015 were extracted from the Pennsylvania Health Care Cost Containment Council (PHC4) database, and compared with the corresponding trauma population within the Pennsylvania Trauma Systems Foundation (PTSF) registry. PHC4 contains all hospital admissions within PA while PTSF collects data on all trauma cases managed at designated TCs (Level I-IV). The percentage of patients meeting trauma criteria who are undertriaged to NTCs was determined and Network Analyst Location-Allocation function in ArcGIS Desktop was used to generate geospatial representations of undertriage based on ISSs throughout the state. RESULTS: For ISS > 9, 173,022 cases were identified from 2003 to 2015 in PTSF, while 255,263 cases meeting trauma criteria were found in the PHC4 database over the same timeframe suggesting UTR of 32.2%. For ISS > 15, UTR was determined to be 33.6%. Visual geospatial analysis suggests regions with limited access to TCs comprise the highest proportion of undertriaged trauma patients. CONCLUSION: Despite the existence of a statewide trauma framework for over 30 years, approximately, a third of severely injured trauma patients are managed at hospitals outside of the trauma system in PA. Intelligent trauma system design should include an objective process like geospatial mapping rather than the current system which is driven by competitive models of financial and health care system imperatives. LEVEL OF EVIDENCE: Epidemiological study, level III; Therapeutic, level IV.

Development of a trauma system and optimal placement of trauma centers using geospatial mapping.

BACKGROUND: The care of patients at individual trauma centers (TCs) has been carefully optimized, but not the placement of TCs within the trauma systems. We sought to objectively determine the optimal placement of trauma centers in Pennsylvania using geospatial mapping. METHODS: We used the Pennsylvania Trauma Systems Foundation (PTSF) and Pennsylvania Health Care Cost Containment Council (PHC4) registries for adult (age ≥15) trauma between 2003 and 2015 (n = 377,540 and n = 255,263). TCs and zip codes outside of PA were included to account for edge effects with trauma cases aggregated to the Zip Code Tabulation Area centroid of residence. Model assumptions included no previous TCs (clean slate); travel time intervals of 45, 60, 90, and 120 minutes; TC capacity based on trauma cases per bed size; and candidate hospitals ≥200 beds. We used Network Analyst Location-Allocation function in ArcGIS Desktop to generate models optimally placing 1 to 27 TCs (27 current PA TCs) and assessed model outcomes. RESULTS: At a travel time of 60 minutes and 27 sites, optimally placed models for PTSF and PHC4 covered 95.6% and 96.8% of trauma cases in comparison with the existing network reaching 92.3% or 90.6% of trauma cases based on PTSF or PHC4 inclusion. When controlled for existing coverage, the optimal numbers of TCs for PTSF and PHC4 were determined to be 22 and 16, respectively. CONCLUSIONS: The clean slate model clearly demonstrates that the optimal trauma system for the state of Pennsylvania differs significantly from the existing system. Geospatial mapping should be considered as a tool for informed decision-making when organizing a statewide trauma system. LEVEL OF EVIDENCE: Epidemiological study/Care management, level III.

A novel approach to optimal placement of new trauma centers within an existing trauma system using geospatial mapping.

BACKGROUND: Trauma system expansion is a complex process often governed by financial and health care system imperatives. We sought to propose a new, informed approach to trauma system expansion through the use of geospatial mapping. We hypothesized that geospatial mapping set to specific parameters could effectively identify optimal placement of new trauma centers (TC) within an existing trauma system. METHODS: We used Pennsylvania Trauma Systems Foundation registry data of adult (age, ≥ 15 years) trauma for calendar years 2003 to 2015 (n = 408,432), hospital demographics, road networks, and US Census data files. We included TCs and zip codes outside of Pennsylvania to account for edge effects with trauma cases aggregated to the zip code centroid of residence. Our model assumptions included existing Pennsylvania Trauma Systems Foundation Level I and II TCs, a maximum travel time of 60 minutes to the TC, capacity based on mean statewide ratios of trauma cases per hospital bed size, Injury Severity Score, candidate hospitals with 200 or more licensed beds and 30 minutes or longer or 15 minutes or longer from an existing TC in nonurban/urban areas, respectively. We used the Network Analyst Location-Allocation function in ArcGIS Desktop to generate spatial models. RESULTS: Of the 130 candidate sites, only 14 met the bed size and travel time criteria from an existing TC. Approximately 70% of zip codes and 91% of cases were within 60 minutes of an existing TC. Adding one to six new optimally paced TCs increased to a maximum of 82% of zip codes and 96% of cases within 60 minutes of an existing TC. Changes to model assumptions had an impact on which candidate sites were selected. CONCLUSION: Intelligent trauma system design should include an objective process like geospatial to determine the optimum locations for new TCs within existing trauma networks. LEVEL OF EVIDENCE: Epidemiological study, level III.

The role of vanadium haloperoxidases in the formation of volatile brominated compounds and their impact on the environment.

Vanadium haloperoxidases differ strongly from heme peroxidases in substrate specificity and stability and in contrast to a heme group they contain the bare metal oxide vanadate as a prosthetic group. These enzymes specifically oxidize halides in the presence of hydrogen peroxide into hypohalous acids. These reactive halogen intermediates will react rapidly and aspecifically with many organic molecules. Marine algae and diatoms containing these iodo- and bromoperoxidases produce short-lived brominated methanes (bromoform, CHBr3 and dibromomethane CH2Br2) or iodinated compounds. Some seas and oceans are supersaturated with these compounds and they form an important source of bromine to the troposphere and lower stratosphere and contribute significantly to the global budget of halogenated hydrocarbons. This perspective focuses, in particular, on the biosynthesis of these volatile compounds and the direct or indirect involvement of vanadium haloperoxidases in the production of huge amounts of bromoform and dibromomethane. Some of the global sources are discussed and from the literature a picture emerges in which oxidized brominated species generated by phytoplankton, seaweeds and cyanobacteria react with dissolved organic matter in seawater, resulting in the formation of intermediate brominated compounds. These compounds are unstable and decay via a haloform reaction to form an array of volatile brominated compounds of which bromoform is the major component followed by dibromomethane.

Effects of therapeutical and reduced levels of antibiotics on the fraction of antibiotic-resistant strains of Escherichia coli in the chicken gut.

Development of antibiotic resistance in the microbiota of farm animals and spread of antibiotic-resistant bacteria in the agricultural sector not only threaten veterinary use of antibiotics, but jeopardize human health care as well. The effects of exposure to antibiotics on spread and development of antibiotic resistance in Escherichia coli from the chicken gut were studied. Groups of 15 pullets each were exposed under strictly controlled conditions to a 2-day course of amoxicillin, oxytetracycline, or enrofloxacin, added to the drinking water either at full therapeutic dose, 75% of that, or at the carry-over level of 2.5%. During treatment and for 12 days afterwards, the minimal inhibitory concentration (MIC) for the applied antibiotics of E. coli strains isolated from cloacal swabs was measured. The full therapeutic dose yielded the highest percentage of resistant strains during and immediately after exposure. After 12 days without antibiotics, only strains from chickens that were given amoxicillin were significantly more often resistant than the untreated control. Strains isolated from pullets exposed to carry-over concentrations were only for a few days more often resistant than those from the control. These results suggest that, if chickens must be treated with antibiotics, a short intensive therapy is preferable. Even short-term exposure to carry-over levels of antibiotics can be a risk for public health, as also under those circumstances some selection for resistance takes place.

Determining venous thromboembolic risk assessment for patients with trauma: the Trauma Embolic Scoring System.

BACKGROUND: This study aimed to determine the relative "weight" of risk factors known to be associated with venous thromboembolism (VTE) for patients with trauma based on injuries and comorbidities. METHODS: A retrospective review of 16,608 consecutive admissions to a trauma center was performed. Patients were separated into those who developed VTE (n = 141) versus those who did not (16,467). Univariate analysis was performed for each risk factor reported in the trauma literature. Risk factors that were shown to be significant (p < 0.05) by univariate analysis underwent multivariate analysis to develop odds ratios for VTE. The Trauma Embolic Scoring System (TESS) was derived from the multivariate coefficients. The resulting TESS was compared with a data set from the National Trauma Data Bank (2002-2006) to determine its ability to predict VTE. RESULTS: The multivariate analysis demonstrated that age, Injury Severity Score, obesity, ventilator use for more than 3 days, and lower-extremity trauma were significant predictors of VTE in our patient population. The TESS was from 0 to 14, with the best prediction for those patients with a score of more than 6 (sensitivity, 81.6%; specificity, 84%). Overall, the model had excellent discrimination in predicting VTE with a receiver operating characteristic curve of 0.89. The VTE rates for TESS in the National Trauma Data Bank data set were similar for all integers except for 3 and 4, in which the VTE rates were significantly higher (3, 0.2% vs. 0.6%; 4, 0.4% vs. 1.0%). CONCLUSION: The TESS provides an objective measure of classifying VTE risk for patients with trauma. The TESS could allow informed decision making regarding prophylaxis strategies in patients with trauma.

Has TRISS become an anachronism? A comparison of mortality between the National Trauma Data Bank and Major Trauma Outcome Study databases.

BACKGROUND: The Trauma and Injury Severity Score (TRISS) has been the approach to trauma outcome prediction during the past 20 years and has been adopted by many commercial registries. Unfortunately, its survival predictions are based upon coefficients that were derived from a data set collected in the 1980s and updated only once using a data set collected in the early 1990s. We hypothesized that the improvements in trauma care during the past 20 years would lead to improved survival in a large database, thus making the TRISS biased. METHODS: The TRISSs from the Pennsylvania statewide trauma registry (Collector, Digital Innovations) for the years 1990 to 2010. Observed-to-expected mortality ratios for each year of the study were calculated by taking the ratio of actual deaths (observed deaths, O) to the summation of the probability of mortality predicted by the TRISS taken over all patients (expected deaths, E). For reference, O/E ratio should approach 1 if the TRISS is well calibrated (i.e., has predictive accuracy). RESULTS: There were 408,489 patients with complete data sufficient to calculate the TRISSs. There was a significant trend toward improved outcome (i.e., decreasing O/E ratio; nonparametric test of trend, p < 0.001) over time in both the total population and the blunt trauma subpopulation. In the penetrating trauma population, there was a trend toward improved outcome (decreasing O/E ratio), but it did not quite reach significance (nonparametric test of trend p = 0.073). CONCLUSION: There is a steady trend toward improved O/E survival in the Pennsylvania database with each passing year, suggesting that the TRISS is drifting out of calibration. It is likely that improvements in care account for these changes. For the TRISS to remain an accurate outcome prediction model, new coefficients would need to be calculated periodically to keep up with trends in trauma care. This requirement for occasional updating is likely to be a requirement of any trauma prediction model, but because many other deficiencies in the TRISS have been reported, we think that rather than updating the TRISS, it would be more productive to replace the TRISS with a modern statistical model.

High-risk geriatric protocol: improving mortality in the elderly.

BACKGROUND: Injured geriatric patients pose unique challenges to the trauma team because of their abnormal responses to shock and injury. We have developed the high-risk geriatric protocol (GP) that seeks to identify high-risk geriatric patients. We hypothesized that a high-risk GP would improve outcome in this select group of patients. METHODS: Patients from 2000 to 2010 were included. Patients 65 years or older who met high-risk GP based on comorbidities and/or physiologic parameters were compared with those patients who had not received GP before its implementation as well as other non-GP patients. This protocol includes a geriatric consultation, as well as a lactate levels, arterial blood gas levels, and echo test to assess for occult shock. Age, trauma activation, preexisting conditions, Injury Severity Score, Revised Trauma Score, and mortality were reviewed. Univariate and multivariate analyses were conducted to identify factors predictive of mortality. RESULTS: A total of 3,902 patients were evaluated. Patients receiving GP were less likely to die (odds ratio, 0.63 [0.39-0.99], p = 0.046). For all patients, there was a dramatic increase in mortality for those patients older than 75 years. CONCLUSION: The GP, adjusted for other covariates, significantly reduced mortality in our patient population. Thus, this study confirms the overall effectiveness of our GP, which is hallmarked by prompt identification of those patients with occult shock and a multidisciplinary care of the aged population.