ABSTRACT
BACKGROUND: Wilderness activities expose outdoor enthusiasts to austere environments with injury potential, including falls from height. The majority of published data on falls while climbing or hiking are from emergency departments. We sought to more accurately describe the injury pattern of wilderness falls that lead to serious injury requiring trauma center evaluation and to further distinguish climbing as a unique pattern of injury. METHODS: Data were collected from 17 centers in 11 states on all wilderness falls (fall from cliff: International Classification of Diseases, Ninth Revision, e884.1; International Classification of Diseases, 10th Revision, w15.xx) from 2006 to 2018 as a Western Trauma Association multicenter investigation. Demographics, injury characteristics, and care delivery were analyzed. Comparative analyses were performed for climbing versus nonclimbing mechanisms. RESULTS: Over the 13-year study period, 1,176 wilderness fall victims were analyzed (301 climbers, 875 nonclimbers). Fall victims were male (76%), young (33 years), and moderately injured (Injury Severity Score, 12.8). Average fall height was 48 ft, and average rescue/transport time was 4 hours. Nineteen percent were intoxicated. The most common injury regions were soft tissue (57%), lower extremity (47%), head (40%), and spine (36%). Nonclimbers had a higher incidence of severe head and facial injuries despite having equivalent overall Injury Severity Score. On multivariate analysis, climbing remained independently associated with increased need for surgery but lower odds of composite intensive care unit admission/death. Contrary to studies of urban falls, height of fall in wilderness falls was not independently associated with mortality or Injury Severity Score. CONCLUSION: Wilderness falls represent a unique population with distinct patterns of predominantly soft tissue, head, and lower extremity injury. Climbers are younger, usually male, more often discharged home, and require more surgery but less critical care. LEVEL OF EVIDENCE: Epidemiological, Level IV.
Subject(s)
Accidental Falls/statistics & numerical data , Athletic Injuries/etiology , Mountaineering/injuries , Wilderness , Adolescent , Adult , Athletic Injuries/epidemiology , Athletic Injuries/therapy , Emergency Service, Hospital , Female , Humans , Incidence , Injury Severity Score , Intensive Care Units , Logistic Models , Male , Middle Aged , Multivariate Analysis , Retrospective Studies , Trauma Centers , United States/epidemiology , Young AdultABSTRACT
BACKGROUND: Screening for blunt cerebrovascular injuries (BCVIs) in asymptomatic high-risk patients has become routine. To date, the length of this asymptomatic period has not been defined. Determining the time to stroke could impact therapy including earlier initiation of antithrombotics in multiply injured patients. The purpose of this study was to determine the time to stroke in patients with a BCVI-related stroke. We hypothesized that the majority of patients suffer stroke between 24 hours and 72 hours after injury. METHODS: Patients with a BCVI-related stroke from January 2007 to January 2017 from 37 trauma centers were reviewed. RESULTS: During the 10-year study, 492 patients had a BCVI-related stroke; the majority were men (61%), with a median age of 39 years and ISS of 29. Stroke was present at admission in 182 patients (37%) and occurred during an Interventional Radiology procedure in six patients. In the remaining 304 patients, stroke was identified a median of 48 hours after admission: 53 hours in the 144 patients identified by neurologic symptoms and 42 hours in the 160 patients without a neurologic examination and an incidental stroke identified on imaging. Of those patients with neurologic symptoms, 88 (61%) had a stroke within 72 hours, whereas 56 had a stroke after 72 hours; there was a sequential decline in stroke occurrence over the first week. Of the 304 patients who had a stroke after admission, 64 patients (22%) were being treated with antithrombotics when the stroke occurred. CONCLUSIONS: The majority of patients suffer BCVI-related stroke in the first 72 hours after injury. Time to stroke can help inform clinicians about initiation of treatment in the multiply injured patient. LEVEL OF EVIDENCE: Prognostic/Epidemiologic, level III.
Subject(s)
Carotid Artery Injuries/complications , Fibrinolytic Agents/therapeutic use , Stroke/etiology , Wounds, Nonpenetrating/complications , Adolescent , Adult , Aged , Aged, 80 and over , Cerebrovascular Trauma/complications , Child , Child, Preschool , Female , Humans , Injury Severity Score , Male , Middle Aged , Nervous System Diseases/etiology , Stroke/diagnostic imaging , Stroke/drug therapy , Time Factors , Young AdultABSTRACT
Trauma patients with "compensated" internal hemorrhage may not be identified with standard medical monitors until signs of shock appear, at which point it may be difficult or too late to pursue life-saving interventions. We tested the hypothesis that a novel machine-learning model called the compensatory reserve index (CRI) could differentiate tolerance to acute volume loss of individuals well in advance of changes in stroke volume (SV) or standard vital signs. Two hundred one healthy humans underwent progressive lower body negative pressure (LBNP) until the onset of hemodynamic instability (decompensation). Continuously measured photoplethysmogram signals were used to estimate SV and develop a model for estimating CRI. Validation of the CRI was tested on 101 subjects who were classified into two groups: low tolerance (LT; n = 33) and high tolerance (HT; n = 68) to LBNP (mean LBNP time: LT = 16.23 min vs. HT = 25.86 min). On an arbitrary scale of 1 to 0, the LT group CRI reached 0.6 at an average time of 5.27 ± 1.18 (95% confidence interval) min followed by 0.3 at 11.39 ± 1.14 min. In comparison, the HT group reached CRI of 0.6 at 7.62 ± 0.94 min followed by 0.3 at 15.35 ± 1.03 min. Changes in heart rate, blood pressure, and SV did not differentiate HT from LT groups. Machine modeling of the photoplethysmogram response to reduced central blood volume can accurately trend individual-specific progression to hemodynamic decompensation. These findings foretell early identification of blood loss, anticipating hemodynamic instability, and timely application of life-saving interventions.
Subject(s)
Fingers/blood supply , Hemodynamics , Models, Cardiovascular , Monitoring, Physiologic/methods , Photoplethysmography , Shock, Hemorrhagic/physiopathology , Adult , Algorithms , Arterial Pressure , Arteries/physiopathology , Artificial Intelligence , Blood Volume , Disease Progression , Early Diagnosis , Female , Heart Rate , Humans , Lower Body Negative Pressure , Male , Predictive Value of Tests , Prognosis , Reproducibility of Results , Shock, Hemorrhagic/diagnosis , Shock, Hemorrhagic/therapy , Signal Processing, Computer-Assisted , Stroke Volume , Time Factors , Vital SignsABSTRACT
UNLABELLED: The BioEnergy Science Center (BESC) is undertaking large experimental campaigns to understand the biosynthesis and biodegradation of biomass and to develop biofuel solutions. BESC is generating large volumes of diverse data, including genome sequences, omics data and assay results. The purpose of the BESC Knowledgebase is to serve as a centralized repository for experimentally generated data and to provide an integrated, interactive and user-friendly analysis framework. The Portal makes available tools for visualization, integration and analysis of data either produced by BESC or obtained from external resources. AVAILABILITY: http://besckb.ornl.gov.
Subject(s)
Biofuels , Knowledge Bases , Bacteria/metabolism , Eukaryota/metabolism , Genomics , Plants/metabolismABSTRACT
This paper describes the design, development and testing of a pre-hospital documentation and patient monitoring application called iRevive. The application utilises a sensor gateway and data mediator to enable semantic interoperability with a wide variety of medical devices and applications. Initial test results indicate that complete and consistent pre-hospital Electronic Medical Records (EMR) can be semantically exchanged with two heterogeneous, in-hospital IT applications.
Subject(s)
Emergency Medical Services , Medical Records Systems, Computerized/standards , Documentation , Humans , Medical Record Linkage/methods , Medical Record Linkage/standards , Medical Records Systems, Computerized/organization & administration , Motivation , United StatesABSTRACT
BACKGROUND: Charge capture plays an important role in every surgical practice. We have developed and merged a custom mobile database (DB) system with our trauma registry (TRACS), to better understand our billing methods, revenue generators, and areas for improved revenue capture. METHODS: The mobile database runs on handheld devices using the Windows Compact Edition platform. The front end was written in C# and the back end is SQL. The mobile database operates as a thick client; it includes active and inactive patient lists, billing screens, hot pick lists, and Current Procedural Terminology and International Classification of Diseases, Ninth Revision code sets. Microsoft Information Internet Server provides secure data transaction services between the back ends stored on each device. Traditional, hand written billing information for three of five adult trauma surgeons was averaged over a 5-month period. Electronic billing information was then collected over a 3-month period using handheld devices and the subject software application. One surgeon used the software for all 3 months, and two surgeons used it for the latter 2 months of the electronic data collection period. This electronic billing information was combined with TRACS data to determine the clinical characteristics of the trauma patients who were and were not captured using the mobile database. RESULTS: Total charges increased by 135%, 148%, and 228% for each of the three trauma surgeons who used the mobile DB application. The majority of additional charges were for evaluation and management services. Patients who were captured and billed at the point of care using the mobile DB had higher Injury Severity Scores, were more likely to undergo an operative procedure, and had longer lengths of stay compared with those who were not captured. CONCLUSION: Total charges more than doubled using a mobile database to bill at the point of care. A subsequent comparison of TRACS data with billing information revealed a large amount of uncaptured patient revenue. Greater familiarity and broader use of mobile database technology holds the potential for even greater revenue capture.
Subject(s)
Accounting/methods , Computers, Handheld , Database Management Systems , Practice Management, Medical/economics , Traumatology/economics , Adult , Current Procedural Terminology , Humans , International Classification of Diseases , Internet , Patient Credit and Collection , Point-of-Care Systems , Practice Management, Medical/organization & administration , Registries , Software , Traumatology/organization & administrationABSTRACT
BACKGROUND: To assess the incidence of and risk factors for Acute Stress Disorder (ASD) in children with injuries. Numerous studies have documented the increased incidence of PTSD in those initially diagnosed with ASD. PTSD symptoms cause tremendous morbidity and may persist for many years in some children. METHODS: Children hospitalized with one or more injuries were interviewed and assessed with the following: Child Stress Disorders Checklist (CSDC), Family Strains Scale, Brief Symptom Inventory (BSI) and Facial Pain Scale. RESULTS: Participants included sixty-five children (ages 7-18 years). The mechanisms of injury varied (e.g. MVC, penetrating). The mean injury severity score was 8.9 +/- 7. The mean length of hospital stay was 4.6 +/- 4.6 days. Altogether, 18 (27.7%) of participants met DSM IV criteria for ASD during their acute hospital stay. Risk factors such as level of family stress, caregiver stress, child's experience of pain, and child's age were predictive of acute stress symptoms. CONCLUSION: We have identified four risk factors of ASD that have implications for the treatment, and possibly, preventative intervention for PTSD. Further investigation and greater understanding of risk factors for ASD in children with injuries may facilitate the design of acute interventions to prevent the long-term negative outcomes of traumatic events.
Subject(s)
Stress Disorders, Traumatic, Acute/etiology , Wounds and Injuries/complications , Adolescent , Boston/epidemiology , Child , Family , Humans , Incidence , Injury Severity Score , Pain Measurement , Risk Factors , Social Class , Stress Disorders, Traumatic, Acute/diagnosis , Wounds and Injuries/classification , Wounds and Injuries/psychologyABSTRACT
PURPOSE: The purpose of this study was to characterize the radiologic changes that are seen in the first 24 to 48 hours after head injury and to correlate those changes with clinical findings, to determine which children are at greatest risk for progression of their neurologic injury. METHODS: The authors identified 104 children (less-than-or-equal17 years of age) who had a second computed tomography (CT) scan of the head within 24 to 48 hours of admission. CT scans were evaluated systematically in a blinded fashion. Mechanism of injury, findings on physical examination, therapeutic measures, and changes in management were recorded from hospital medical records. The 50 children whose second CT scan showed progression of injury were compared with the 54 patients whose intracranial injuries were unchanged or improved on their second CT. RESULTS: Twenty-six percent of patients (13 of 50) with radiographic progression of injury had an admission Glasgow coma score of 15. Progression of injury was more common, however, in patients with lower Glasgow coma scores, averaging 9 on admission and 10 at the time of the second CT. Progression of injury also was more common if the initial head CT showed 3 or more intracranial injuries, mass effect, intraventricular hemorrhage, or an epidural hematoma. CONCLUSIONS: Children with an intracranial injury identified on their initial head CT scan should undergo a second scan 24 hours after injury, especially if the initial CT shows 3 or more intracranial injuries, mass effect, intraventricular hemorrhage, or an epidural hematoma. .
Subject(s)
Cranial Nerve Injuries/diagnosis , Craniocerebral Trauma/diagnosis , Head Injuries, Closed/diagnosis , Head Injuries, Penetrating/diagnosis , Tomography, X-Ray Computed , Adolescent , Cerebral Hemorrhage, Traumatic/diagnosis , Cerebral Hemorrhage, Traumatic/etiology , Cerebral Hemorrhage, Traumatic/surgery , Child , Cranial Nerve Injuries/etiology , Cranial Nerve Injuries/surgery , Craniocerebral Trauma/complications , Craniocerebral Trauma/surgery , Female , Glasgow Coma Scale , Head Injuries, Closed/surgery , Head Injuries, Penetrating/surgery , Hematoma, Epidural, Cranial/diagnosis , Hematoma, Epidural, Cranial/etiology , Hematoma, Epidural, Cranial/surgery , Humans , Injury Severity Score , Male , Prognosis , Prospective Studies , Retrospective Studies , Tomography, X-Ray Computed/methodsABSTRACT
PURPOSE: The aim of this study was to develop a mobile software solution that will merge patient data with a centralized patient database, aid surgical decision making, and document clinical services. METHODS: iIncise is a computerized, menu-driven database that was developed for real-time entry of historical, clinical, and laboratory data. Within the process, examination data, testing rationale, and test results are captured. AAST staging criteria are presented during data entry to describe and classify organ injuries accurately. A legible, time-stamped, conclusive report can be generated for printed or electronic entry into the medical record. The handheld version of the database runs on a Compaq iPAQ Pocket PC in either stand-alone mode or via LAN or WAN through the Internet. Microsoft Information Internet Server 5.0 provides data transaction services to Microsoft SQL Server 2000 to merge multiuser replicate data between the back ends stored on the desktop and handheld devices. RESULTS: The printed report provides superior documentation for comprehensive evaluation and management services, including history and physical examination, documentation of medical decision making, appropriateness of diagnostic/or therapeutic services, and coordination of care in accordance with Health Care Financing Administration (HCFA) regulations. CONCLUSIONS: Rapid data entry, ease of use, and appropriate documentation of detailed and legible patient visits and procedural notes are early benefits. Wireless data transmission between handheld devices and the desktop database provides the required speed, flexibility, and multitasking environment necessary for the mobile surgeon.