Trampoline Injuries in a Statewide Trauma System

2021 ◽  
pp. 000313482110488
Author(s):  
Megan C. Sullivan ◽  
Madison E. Morgan ◽  
Eric Bradburn ◽  
Lindsey L. Perea
Keyword(s):  
Injury Severity ◽  
Trauma System ◽  
Injury Patterns ◽  
Lower Extremity Injuries ◽  
Patient Demographics ◽  
Body Regions ◽  
Severity Scores ◽  
Icd 10 ◽  
Trauma Outcome ◽  
Extremity Injuries

Introduction It is well known that trampolines can be a particular source of danger, especially in children. We sought to examine the profile of those patients with trampoline injuries. We hypothesized there would be certain injury patterns predicative of trampoline injuries. Methods All patients submitted to Pennsylvania Trauma Outcome Study database from 2016 to 2018 were analyzed. Trampoline injury was determined by ICD-10 activity code. Injury patterns in the form of abbreviated injury scale body regions were examined. Patient demographics and clinical variables were compared between those with trampoline injury vs those without. Results There were 107 patients with a trampoline injury. All of these patients were discharged alive and had a blunt mechanism of injury. The most common injury type was injury to the extremities (n=90,[84.1%]) with 54(50.5%) upper extremity injuries and 36(33.6%) lower extremity injuries. Ten (9.35%) patients had injury to the spine and five (4.67%) had head injury. Those with trampoline injuries were significantly younger (13y vs. 48.6y) and more likely to be white or of Hispanic ethnicity. Almost half of the patients injured (49.5%) were under 10 years. Patients with trampoline injuries had significantly lower Injury Severity Scores and significantly higher shock index. Discussion The majority of patients with trampoline injuries had injury to an extremity. These results help better understand the demographic, physiologic, and anatomic patterns surrounding trampoline injuries. Current government standards recommend that no child under age six should use a full-sized trampoline; however, based of this study, we advise that this age be increased to ten.

scholarly journals A Comparison of Collegiate Women’s Court and Beach Volleyball Injury Data: A Three Year Retrospective analysis

2019 ◽  
Vol 7 (7_suppl5) ◽  
pp. 2325967119S0040
Author(s):  
Tristan Juhan ◽  
Hyunwoo Paco Kang ◽  
Andrew Homere ◽  
Omid Jalali ◽  
James E. Tibone ◽  
...  
Keyword(s):  
Lower Extremity ◽  
Injury Rate ◽  
Collegiate Athletes ◽  
Injury Patterns ◽  
Back Injuries ◽  
Injury Rates ◽  
Lower Extremity Injuries ◽  
Body Regions ◽  
Volleyball Players ◽  
Extremity Injuries

Objectives: NCAA Division I beach volleyball is a recently introduced sport that has been played for 3 seasons to date. Since the introduction of this new level of athletic participation for women’s’ beach volleyball, no study has been performed to compare the injury patterns between court and sand volleyball playing surfaces. The goal of this study is to compare the injury patterns and incidence in women’s collegiate court and beach volleyball in order to aid trainers, coaches and medical staff in effectively preparing and treating these collegiate athletes. Methods: A 3 year, retrospective review of all training room injury reports were analyzed for both beach and court volleyball from the 2015 through 2017 seasons. Non-athletic injuries or illness were excluded from analysis. Standardized injury rates for beach and court surfaces were calculated by normalizing the total number of injuries by the number of athletes and sets played. To compare the injury patterns among court versus beach volleyball players, injuries were categorized into one of six body regions (abdomen, lower extremity, upper extremity, thorax, head, and back). The proportion of injuries to each of these regions by playing surface was then calculated to compare injury patterns by playing surface. Chi-squared test and odds ratios were used to compare injury rates. Results: Between 2015 and 2017, 90 court volleyball injuries were recorded, while 49 beach volleyball injuries were recorded in the same time period. Court volleyball players had nearly quadruple the injury rate when compared to beach volleyball players, 0.039 and 0.010 injuries per athlete-set respectively (OR 4.05, 95%CI 2.85-5.76, p<0.0001). Court volleyball players suffered a higher proportion of lower extremity injuries when compared to beach volleyball players (51.5% vs. 12.8% respectively, p=0.004), and beach volleyball players suffered a significantly higher proportion of back injuries when compared to court volleyball players, (23.4% vs. 7.8% respectively, p=0.010). Conclusion: The data suggests a significantly higher incidence of injury for court volleyball players when normalized for gameplay exposure. There were, also significant differences in injury patterns with court volleyball players having a higher proportion of lower extremity injuries and beach volleyball having a higher proportion of back injuries. Recognizing these differences can aid in the establishment of preventative strength and conditioning programs as well as post training treatment protocols for these athletes which may increase both the individuals as well as the teams overall competitive success.

Urban Bicyclist Trauma: Characterizing the Injuries, Consequent Surgeries, and Essential Sub-Specialties Providing Care

2017 ◽  
Vol 83 (1) ◽  
pp. 16-22
Author(s):  
Elizabeth Warnack ◽  
Jessica Heyer ◽  
Monica Sethi ◽  
Manish Tandon ◽  
Charles Dimaggio ◽  
...  
Keyword(s):  
Injury Severity ◽  
Operative Management ◽  
The United States ◽  
Trauma Patients ◽  
Emergency Department Care ◽  
Lower Extremity Injuries ◽  
Trauma Service ◽  
Surgical Subspecialty ◽  
Severity Scores ◽  
Extremity Injuries

In the United States in 2013, nearly 500,000 bicyclists were injured and required emergency department care. The objectives of this study were to describe the types of injuries which urban bicyclists sustain, to analyze the number and type of surgeries required, and to better delineate the services providing care. This is an observational study of injured bicyclists presenting to a Level I trauma center between February 2012 and August 2014. Most data were collected within 24 hours of injury and included demographics, narrative description of the incident, results of initial imaging studies, Injury Severity Score, admission status, length of stay, surgical procedure, and admitting and discharging service. A total of 706 injured bicyclists were included in the study, and 187 bicyclists (26.4%) required hospital admission. Of those admitted, 69 (36.8%) required surgery. There was no difference in gender between those who required surgery and those who did not (P = 0.781). Those who required surgery were older (mean age 39.1 vs 34.1, P = 0.003). Patients requiring surgery had higher Abbreviated Injury Scores for head (P ≤ 0.001), face (P ≤ 0.001), abdomen (P = 0.012), and extremity (P ≤ 0.001) and higher mean Injury Severity Scores (12.6 vs 3.7, P < 0.001). Sixty-nine patients required surgery and were brought to the operating room 82 times for 89 distinct procedures. Lower extremity injuries were the reason for 43 (48.3%) procedures, upper extremity injuries for 14 (15.7%), and facial injuries for 15 (16.9%). Orthopedic surgery performed 50 (56.2%) procedures, followed by plastic surgery (15 procedures; 16.8%). Trauma surgeons performed five (5.6%) procedures in four patients. The majority of admitted patients were admitted and discharged by the trauma service (70.1%, 56.7%, respectively) followed by the orthopedics service (13.9%, 19.8%, respectively). Injured bicyclists represent a unique subset of trauma patients. Orthopedic surgeons are most commonly involved in their operative management and rarely are the operative skills of a general traumatologist required. From a resource perspective, it is more efficient to direct the inpatient care of bicyclists with single-system trauma to the appropriate surgical subspecialty service soon after appropriate initial evaluation and treatment by the trauma service.

scholarly journals Structured and Systematic Team and Procedure Training in Severe Trauma: Going from ‘Zero to Hero’ for a Time-Critical, Low-Volume Emergency Procedure Over Three Time Periods

2021 ◽  
Vol 45 (5) ◽  
pp. 1340-1348
Author(s):  
Maryam Meshkinfamfard ◽  
Jon Kristian Narvestad ◽  
Johannes Wiik Larsen ◽  
Arezo Kanani ◽  
Jørgen Vennesland ◽  
...  
Keyword(s):  
Injury Severity ◽  
Trauma System ◽  
Severe Trauma ◽  
Emergency Procedure ◽  
Emergency Thoracotomy ◽  
Severity Scores ◽  
Time Periods ◽  
Low Volume ◽  
Time Critical ◽  
Over Time

Abstract Background Resuscitative emergency thoracotomy is a potential life-saving procedure but is rarely performed outside of busy trauma centers. Yet the intervention cannot be deferred nor centralized for critically injured patients presenting in extremis. Low-volume experience may be mitigated by structured training. The aim of this study was to describe concurrent development of training and simulation in a trauma system and associated effect on one time-critical emergency procedure on patient outcome. Methods An observational cohort study split into 3 arbitrary time-phases of trauma system development referred to as ‘early’, ‘developing’ and ‘mature’ time-periods. Core characteristics of the system is described for each phase and concurrent outcomes for all consecutive emergency thoracotomies described with focus on patient characteristics and outcome analyzed for trends in time. Results Over the study period, a total of 36 emergency thoracotomies were performed, of which 5 survived (13.9%). The “early” phase had no survivors (0/10), with 2 of 13 (15%) and 3 of 13 (23%) surviving in the development and mature phase, respectively. A decline in ‘elderly’ (>55 years) patients who had emergency thoracotomy occurred with each time period (from 50%, 31% to 7.7%, respectively). The gender distribution and the injury severity scores on admission remained unchanged, while the rate of patients with signs on life (SOL) increased over time. Conclusion The improvement over time in survival for one time-critical emergency procedure may be attributed to structured implementation of team and procedure training. The findings may be transferred to other low-volume regions for improved trauma care.

scholarly journals Comparison of Injury Patterns between Electric Bicycle, Bicycle and Motorcycle Accidents

2021 ◽  
Vol 10 (15) ◽  
pp. 3359
Author(s):  
Emilian Spörri ◽  
Sascha Halvachizadeh ◽  
Jamison G. Gamble ◽  
Till Berk ◽  
Florin Allemann ◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Brain Injuries ◽  
Injury Severity ◽  
Craniocerebral Trauma ◽  
Injury Pattern ◽  
Injury Patterns ◽  
Electric Bicycle ◽  
Extremity Injuries ◽  
The Individual ◽  
Motorcycle Accidents

Background: Electric bicycles (E-bikes) are an increasingly popular means of transport, and have been designed for a higher speed comparable to that of small motorcycles. Accident statistics show that E-bikes are increasingly involved in traffic accidents. To test the hypothesis of whether accidents involving E-bikes bear more resemblance to motorcycle accidents than conventional bicyclists, this study evaluates the injury pattern and severity of E-bike injuries in direct comparison to injuries involving motorcycle and bicycle accidents. Methods: In this retrospective cohort study, the data of 1796 patients who were treated at a Level I Trauma Center between 2009 and 2018 due to traffic accident, involving bicycles, E-bikes or motorcycles, were evaluated and compared with regard to injury patterns and injury severity. Accident victims treated as inpatients at least 16 years of age or older were included in this study. Pillion passengers and outpatients were excluded. Results: The following distribution was found in the individual groups: 67 E-bike, 1141 bicycle and 588 motorcycle accidents. The injury pattern of E-bikers resembled that of bicyclists much more than that of motorcyclists. The patients with E-bike accidents were almost 14 years older and had a higher incidence of moderate traumatic brain injuries than patients with bicycle accidents, in spite of the fact that E-bike riders were nearly twice as likely to wear a helmet as compared to bicycle riders. The rate of pelvic injuries in E-bike accidents was twice as high compared with bicycle accidents, whereas the rate of upper extremity injuries was higher following bicycle accidents. Conclusion: The overall E-bike injury pattern is similar to that of cyclists. The differences in the injury pattern to motorcycle accidents could be due to the higher speeds at the time of the accident, the different protection and vehicle architecture. What is striking, however, is the higher age and the increased craniocerebral trauma of the E-bikers involved in accidents compared to the cyclists. We speculate that older and untrained people who have a slower reaction time and less control over the E-bike could benefit from head protection or practical courses similar to motorcyclists.

scholarly journals Adjustment of Trauma and Injury Severity Sccore (TRISS) and Revised Trauma Score (RTS) in Predicting Mortality of Multitraumapatients in Sanglah Hospital Bali

2021 ◽  
Vol 14 (1) ◽  
pp. 267-272
Author(s):  
Ivan H Hadisaputra ◽  
Gede Suwedagatha ◽  
Tjokorda Gde Bagus Mahadewa
Keyword(s):  
Diagnostic Test ◽  
Predictive Value ◽  
Injury Severity ◽  
Physiological Parameter ◽  
Emergency Setting ◽  
Body Regions ◽  
Revised Trauma Score ◽  
Trauma Outcome ◽  
Trauma Score ◽  
Trauma And Injury

Background: The Trauma and Injury Severity Score (TRISS) is the most applied tool to predict the multi-trauma outcome. It is shown that the predictive value of TRISS could be improved by adjusting the coefficient. Originally this study aims to evaluate our hospital in treating multitrauma patients, with good outcome we propose adjustment to TRISS formula. Methodology:This study is a diagnostic test to determine the accuracy of TRISS scores to predict mortality of multitrauma patients treated in Sanglah General Hospital. Result: Fifty two multitrauma patients with ISS score > 18 with at least 2 body regions being injured. The TRISS diagnostic test was obtained with a sevsitivity 81.8%, specificity 97.6%, positive predictive value 90%, negative predictive value 95.2%, prevalence 21%, accuracy rate of 94.2%. Conclusion: Adjustment to TRISS formula coefficient for better prediction is proposed. Physiological parameter in RTS that does not include respiratory rate shows reliable prediction, which can be used in emergency setting when anatomical diagnostic has not yet to be obtained.

A Turbo Pascal Program to Convert Icd-9Cm Coded Injury Diagnoses into Injury Severity Scores: Icdtoais

1994 ◽  
Vol 78 (3) ◽  
pp. 915-930 ◽  
Author(s):  
Johannes Kingma ◽  
Elisabeth Tenvergert ◽  
Hinke Anja Werkman ◽  
Henk Jan Ten Duis ◽  
Henk J. Klasen
Keyword(s):  
Injury Severity ◽  
Data File ◽  
International Classification Of Diseases ◽  
Body Region ◽  
Pascal Program ◽  
Body Regions ◽  
Severity Scores ◽  
Severity Of Injury ◽  
Classification Of Diseases

Diagnoses of injuries as a result of trauma are commonly coded by means of the International Classification of Diseases (9th rev.) Clinical Modification (ICD-9CM). The Abbreviated Injury Scale (AIS) is frequently employed to assess the severity of injury per body region. The Injury Severity Score (ISS) is an over-all index or summary of the severity of injury. To compute one of these two types of scores the entire medical record of each patient must be examined. The program ICDTOAIS replaces the manual coding or translation between the two scores. The program converts the ICD-9CM coded diagnoses into AIS and ISS scores. The program also computes the maximum AIS (MAXAIS) per body region, enabling the researcher to assess the relative impact of the severity of trauma of different body regions in both morbidity and mortality studies. The program locates invalid ICD-9CM rubrics in the data file. ICDTOAIS may be employed as a program alone or as a procedure in database management systems (e.g., DBase III plus, DBase IV, or the different versions of FOXPRO). The program is written in Turbo Pascal, Version 6.

scholarly journals Trampoline Related Injuries

2018 ◽  
Vol 3 (3) ◽  
pp. 2473011418S0021
Author(s):  
Jesse Doty ◽  
Ryan Voskuil ◽  
Rachel Swafford
Keyword(s):  
Lower Extremity ◽  
Hospital Admissions ◽  
The United States ◽  
Published Data ◽  
Lower Extremity Injuries ◽  
Patient Demographics ◽  
Included Patient ◽  
Period Data ◽  
Domestic Setting ◽  
Extremity Injuries

Category: Trauma Introduction/Purpose: Jump parks (or trampoline parks) have become one of the fastest growing recreational businesses in the United States. With their increasing popularity, notable changes in trampoline related injuries might be evident, particularly involving the lower extremity. There is no published data dedicated to adult trampoline injuries and little information regarding the safety profiles of commercial jump parks. Methods: We conducted a retrospective review including all patients sustaining trampoline related injuries presenting during a two-year period. Data collection included patient demographics and injury characteristics of trampoline injuries in the domestic setting and at commercial jump parks. Results: One hundred fifty patients (34%) sustained injuries at commercial jump parks versus 289 patients (66%) on home trampolines. Fifty-five percent of the jump park injuries were fractures/dislocations, compared to 44% of the home trampoline injuries. Eighteen adults sustained fractures or dislocations at the jump park (45%), while only five adults sustained fractures or dislocations using home trampolines (17%). Seventeen (94%) and 2 (40%) represented adult lower extremity injuries in jump parks and home trampolines respectively. In children, 47 (72%) of the jump park fractures/dislocations were lower extremity, and 41 (33%) of the home trampoline fractures/dislocations were lower extremity. Ten (9%) pediatric and 9 (23%) adult jump park patients required operative intervention, compared to 17 (7%) pediatric and 3 (10%) adult home trampoline patients requiring surgery. Conclusion: Emergency room visits, hospital admissions, and surgical intervention secondary to jump park related injuries are not uncommon in children and adults. There were a higher percentage of total fractures or dislocations, adult fractures, lower extremity fractures, and operative interventions among patients with commercial jump park injuries compared with those who sustained home trampoline injuries.

scholarly journals A cross-sectional study of characteristics of bicyclist upper and lower extremity injuries in bicycle-vehicle crashes in Ohio, United States, 2013–2017

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jodie Makara ◽  
Sijun Shen ◽  
Ann Nwosu ◽  
William Arnold ◽  
Gary Smith ◽  
...  
Keyword(s):  
Lower Extremity ◽  
Cross Sectional Study ◽  
Lower Extremity Injury ◽  
Vehicle Crashes ◽  
Extremity Injury ◽  
Cross Sectional ◽  
Lower Extremity Injuries ◽  
Body Regions ◽  
Extremity Injuries ◽  
Absence From Work

Abstract Background Extremity injury is one of the most common injury types for bicyclists. Extremity injury can lead to long-term disability and contribute to adverse health-related quality of life and prolonged absence from work. Objectives The objectives of our study were to identify crash factors associated with bicyclist upper and lower extremity injury and characterize type of extremity injury by bicyclist age category. Methods We linked the 2013–2017 Ohio police accident report and hospital databases. The logistic regression model was used to model the odds of sustaining upper or lower extremity injury among bicyclists involved in bicycle-vehicle crashes. Bicyclist upper and lower extremity injury were further described by the detailed injured body regions (e.g., forearm and elbow or lower leg) and the nature of injury (e.g., superficial or fracture). Results Bicyclists 65 years or older had higher odds (odds ratio [OR] = 1.46, 95% confidence interval [CI]: 1.03–2.08) of sustaining upper extremity injury, bicyclists aged 3–14 years (OR = 1.34, 95% CI: 1.09–1.66) and 15–24 years (OR = 1.24, 95% CI: 1.03–1.49) had higher odds of sustaining lower extremity injury, compared to bicyclists 25–44 years old. In addition, colder weather, bicyclist sex, and intersection-related crashes were associated with bicyclists’ odds of sustaining upper or lower extremity injury. Compared to individuals under 65 years old, bicyclists 65 years or older had a higher percentage of injury to the wrist, hand and finger, or knee. Bicyclists aged 65 years or older also had a higher percentage of fractures. Conclusions Our study has identified important factors that were associated with bicyclists’ odds of sustaining an extremity injury. Based on these findings, targeted educational efforts and interventions can be implemented to prevent bicyclists from these injuries.

Shark-Related Injuries in the United States: A National Trauma Data Bank Analysis

2021 ◽  
pp. 000313482110241
Author(s):  
William Ganske ◽  
Rohit Sharma ◽  
Stephen Kaminski ◽  
Arianne Johnson
Keyword(s):  
Injury Severity ◽  
Nerve Repair ◽  
Skin Grafting ◽  
Soft Tissue Injuries ◽  
Data Bank ◽  
The United States ◽  
Lower Extremity Injuries ◽  
National Trauma ◽  
National Trauma Data Bank ◽  
Extremity Injuries

Background Shark-related injuries (SRIs) are a dreaded, but rare, source of injury that have not been well described. The present study aims to examine the incidence, injuries, and outcomes of SRIs presenting to US trauma centers. Study Design The National Trauma Data Bank was queried from 2015 to 2018 to identify SRIs using ICD-10 e-codes W56.41XA, W56.42XA, and W56.49XA. Descriptive analyses were conducted on patient demographics, injuries, hospital course, procedures, and outcomes. Results Fifty-three patients were identified with a mechanism of injury that was shark-related. The median age was 29 years (range: 3-67) and median injury severity score was 5 (IQR: 3-10). The majority of patients (96%) were admitted to the hospital (median length of stay (LOS): 4.0 days, IQR: 3.0-8.0), 55% went directly to the operating room, and 53% required intensive care unit (ICU) admission (median ICU LOS: 4.5 days, IQR: 1.3-7.0). Extremity injuries were common: 47% suffered lower extremity injuries, 40% had upper extremity injuries, and 13% had both. The majority of patients underwent surgical procedures: 83% had soft tissue injuries requiring debridement, flap coverage, or skin grafting; 28% suffered neurovascular injuries (17% requiring nerve repair and 2% requiring arterial bypass); and 59% required orthopedic intervention. Six patients (11%) required amputation(s). All patients survived to discharge. Conclusion Although an exceedingly rare source of trauma, SRIs are frequently associated with devastating injuries. Given the severity of injuries and associated procedures required, these patients warrant referral to a trauma center capable of providing comprehensive care.

Validation of an ICD-9-CM and ICD-10-CM map to AIS 2005 Update 2008

2017 ◽  
Vol 25 (2) ◽  
pp. 90-92 ◽  
Author(s):  
Kimberly M Glerum ◽  
Mark R Zonfrillo
Keyword(s):  
Chart Review ◽  
Injury Severity ◽  
International Classification Of Diseases ◽  
Body Region ◽  
Traumatic Injuries ◽  
Severity Scores ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Conversion Tool

Although the Abbreviated Injury Scale (AIS) is the most widely used severity scoring system for traumatic injuries, hospitals are required to document and bill based on the International Classification of Diseases (ICD). An expert panel recently developed a map between ICD-9-CM and ICD-10-CM to AIS 2005 Update 2008. This study aimed to validate the recently developed map using a large trauma registry. The map demonstrated moderate to substantial agreement for maximum AIS (MAIS) scores per body region based on expert chart review versus map-derived values (range: 44%–86%). Injury Severity Scores (ISSs) calculated from expert coders versus map-derived values were also compared and demonstrated moderate agreement (ICD-9-CM: 48%, ICD-10-CM: 54%). Although not a perfect conversion tool, the new ICD-AIS map provides a systematic method to assign injury severity for datasets with only ICD-9-CM and ICD-10-CM codes available and can be used for future injury-related research and data analysis.

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