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Gold-Bersani D, Drennan IR, McGowan M, Nisenbaum R, Nolan B. Field trauma triage criteria associated with need for dedicated trauma center care: a single-center retrospective cohort study. CAN J EMERG MED 2024:10.1007/s43678-024-00722-3. [PMID: 38807018 DOI: 10.1007/s43678-024-00722-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 04/29/2024] [Indexed: 05/30/2024]
Abstract
INTRODUCTION Direct transport from the scene of injury to a trauma centre reduces saves lives. In Ontario, paramedics use the field trauma triage standard (FTTS) to determine if a patient meets trauma bypass criteria. Recent studies have questioned the efficacy of the FTTS in identifying severely injured patients. The objective of this study was to determine the predictive performance of the FTTS on the need for trauma center care in patients who were transported to a trauma center. METHODS This was a single-center health records study of patients transported by ambulance directly to a level 1 trauma center. Hospital based trauma center need and injury severity score-based need were defined. Bivariate associations with one or more FTTS criteria were tested using the Wilcoxon two-sample test for continuous variables, and the Chi-square or Fisher's exact test for categorical indicators. The sensitivity and specificity of each category of the FTTS were calculated. RESULTS There were 1427 patients included in the study, with 76% men, mean age of 40, and 76% had a blunt mechanism. The overall sensitivity and specificity of the FTTS was 90.9% and 20.8% for hospital-based need and 91.6% and 20.3 for injury severity need. The most sensitive variable for hospital-based need was physiologic criteria (53.7). Mechanism of injury was the most sensitive criteria for injury severity need (54.8). Physiological criteria had the highest association with hospital-based and injury severity need (adjusted odds ratios 7.5 [95% CI 5.8-9.8] and 5.1 [95% CI 3.9-6.7]). CONCLUSIONS The FTTS has fair performance in identifying the need for hospital-based and injury severity need. Systolic blood pressure less than 90 mmHg, Glasgow Coma Scale (motor) less than 6, and falls greater than 6 m were most predictive of trauma center need. Improving prehospital trauma triage is critical to ensure timely transport to a trauma centre.
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Affiliation(s)
| | - Ian R Drennan
- Department of Emergency Services and Sunnybrook Research Institute, Sunnybrook Health Science Center, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Division of Emergency Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Melissa McGowan
- Department of Emergency Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Rosane Nisenbaum
- Applied Health Research Centre, MAP Centre for Urban Health Solutions, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, a site of Unity Health Toronto, Toronto, ON, Canada
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Brodie Nolan
- Division of Emergency Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Department of Emergency Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
- Li Ka Shing Knowledge Institute, St Michael's Hospital, a site of Unity Health Toronto, Toronto, ON, Canada.
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Hetz M, Rosch J, Unger T, Struck MF, Schaser KD, Kleber C. Interobserver variability in preclinical assessment of collision variables following traffic accidents. Eur J Trauma Emerg Surg 2024:10.1007/s00068-024-02528-5. [PMID: 38613681 DOI: 10.1007/s00068-024-02528-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 04/04/2024] [Indexed: 04/15/2024]
Abstract
PURPOSE Traffic accidents persist as a leading cause of death. European law mandates the integration of automatic emergency call systems (eCall). Our project focuses on an automated injury prediction device for car accidents, correlating technical and epidemiological input data, such as age, gender, seating position, impact on the passenger compartment, seatbelt usage, impact direction, EES, vehicle class, and airbag deployment. This study aims to explore interobserver variability in data collection quality in real accident scenarios. The assessment will evaluate the impact of user training and measure the time needed for data collection to inform user recommendations for the prehospital assessment. Insights from this study can aid in evaluating the ability of different professional groups to identify potential accident-independent parameters at accident scenes. This includes, among other things, relaying information to dispatchers at rescue control centers, also within the context of telemedicine approaches. METHODS During group sessions, real accident scenarios were presented both before and after a training presentation. Participants, including laypersons, accident research staff, emergency services, hospital physicians, and emergency physicians, visually assessed injury prediction parameters within a time limit. Training involved defining and explaining parameters using accident images. The study analyzed participant demographics, prediction accuracy, and time required, comparing assessment quality between professional groups and before and after training. RESULTS In summary, the study demonstrates that training had a significantly positive impact on the quality of assessment for technical accident parameters. The processing time decreased significantly after training. A notable training effect was observed, particularly for the parameters of rigid collision object, affected passenger compartment, energy equivalent speed (EES), and front and side airbags. It was recommended that individuals without prior knowledge should receive training on assessing EES. Overall, it was evident that technical parameters following a traffic accident can be well assessed through training, irrespective of the professional group. CONCLUSION Significant differences in the assessment quality of technical accident parameters were observed based on technical and medical expertise. After user training, interdisciplinary differences were reconciled, and all professional groups yielded comparable results, indicating that training can enhance the assessment abilities of all participants in the rescue chain, while the time required for assessing accident parameters was significantly reduced with training.
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Affiliation(s)
- Michael Hetz
- Department of Operative Medicine (DOPM), Clinic and Polyclinic for Orthopedics, Trauma Surgery and Plastic Surgery, University Hospital Leipzig, Liebigstr. 20, 04103, Leipzig, Germany.
| | - Julius Rosch
- Department of Orthopedics and Trauma Surgery, St Josef Hospital Essen-Werden, University Hospital Essen, Essen, Germany
| | - Thomas Unger
- Verkehrsunfallforschung an der TU Dresden GmbH, Dresden, Germany
| | - Manuel F Struck
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Klaus-Dieter Schaser
- University Center for Orthopedics, Traumatology, and Plastic Surgery, Carl Gustav Carus University Hospital Dresden, Dresden, Germany
| | - Christian Kleber
- Department of Operative Medicine (DOPM), Clinic and Polyclinic for Orthopedics, Trauma Surgery and Plastic Surgery, University Hospital Leipzig, Liebigstr. 20, 04103, Leipzig, Germany
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Andrews T, Meadley B, Gabbe B, Beck B, Dicker B, Cameron P. Review article: Pre-hospital trauma guidelines and access to lifesaving interventions in Australia and Aotearoa/New Zealand. Emerg Med Australas 2024; 36:197-205. [PMID: 38253461 DOI: 10.1111/1742-6723.14373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 11/12/2023] [Accepted: 01/02/2024] [Indexed: 01/24/2024]
Abstract
The centralisation of trauma services in western countries has led to an improvement in patient outcomes. Effective trauma systems include a pre-hospital trauma system. Delivery of high-level pre-hospital trauma care must include identification of potential major trauma patients, access and correct application of lifesaving interventions (LSIs) and timely transport to definitive care. Globally, many nations endorse nationwide pre-hospital major trauma triage guidelines, to ensure a universal approach to patient care. This paper examined clinical guidelines from all 10 EMS in Australia and Aotearoa/New Zealand. All relevant trauma guidelines were included, and key information was extracted. Authors compared major trauma triage criteria, all LSI included in guidelines, and guidelines for transport to definitive care. The identification of major trauma patients varied between all 10 EMS, with no universal criteria. The most common approach to trauma triage included a three-step assessment process: physiological criteria, identified injuries and mechanism of injury. Disparity between physiological criteria, injuries and mechanism was found when comparing guidelines. All 10 EMS had fundamental LSI included in their trauma guidelines. Fundamental LSI included haemorrhage control (arterial tourniquets, pelvic binders), non-invasive airway management (face mask ventilation, supraglottic airway devices) and pleural wall needle decompression. Variation in more advanced LSI was evident between EMS. Optimising trauma triage guidelines is an important aspect of a robust and evidence driven trauma system. The lack of consensus in trauma triage identified in the present study makes benchmarking and comparison of trauma systems difficult.
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Affiliation(s)
- Tim Andrews
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Clinical Operations, Ambulance Victoria, Melbourne, Victoria, Australia
- Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Ben Meadley
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Clinical Operations, Ambulance Victoria, Melbourne, Victoria, Australia
- Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Belinda Gabbe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Ben Beck
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Bridget Dicker
- Clinical Audit and Research, Hato Hone St John New Zealand, Auckland, New Zealand
- Paramedicine Department, Auckland University of Technology, Auckland, New Zealand
| | - Peter Cameron
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Emergency and Trauma Centre, The Alfred Hospital, Melbourne, Victoria, Australia
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Alsuwais S, Alqurashi N, Body R, Carley S. Interobserver reliability and diagnostic accuracy of prehospital triage for identifying traumatic brain injury in paediatric patients: a systematic review. Childs Nerv Syst 2024; 40:813-821. [PMID: 37851125 PMCID: PMC10891189 DOI: 10.1007/s00381-023-06144-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 08/31/2023] [Indexed: 10/19/2023]
Abstract
PURPOSE The consistency and accuracy of paediatric TBI triage tools can be affected by different factors, such as patients' characteristics and the level of knowledge and skill of the caregiver. This systematic review included all the available data on the level of agreement between paramedics and ED physicians about the reliability of tools to identify paediatric TBI and the diagnostic accuracy of several such tools in prehospital settings when used by paramedics. METHODS MEDLINE (OVID), EMBASE (OVID), Cochrane Library (OVID), and CINAHL Plus (EBSCO) databases were searched from inception to 27 October 2022. Quality, bias, and applicability were assessed using COSMIN for interobserver reliability studies and QUADAS-2 tool for diagnostic accuracy studies. Narrative synthesis was employed because data were unsuitable for meta-analysis. RESULTS Initial searches identified 660 papers in total. Five met the inclusion criteria. Two studies showed moderate agreement between paramedics and ED physicians for GCS assessment. The PTS overtriage rate was 10% and the undertriage rate was 62%, while the triage tape had an overtriage rate of 18% and an undertriage rate of 68%. Pre-hospital GCS had 86.67% sensitivity and 71.43% specificity [95% CI]: 0.74-0.96 for neurosurgically significant TBI. CONCLUSION Low level of GCS agreement and poor diagnostic accuracy may cause further harm to the patient; thus, further studies are recommended to improve the prehospital management of children with head injuries.
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Affiliation(s)
- Sara Alsuwais
- Division of Cardiovascular Sciences, University of Manchester, Manchester, UK.
- Department of Emergency Medical Services, College of Applied Medical Sciences, King Saud bin Abdul-Aziz University for Health Sciences, Riyadh, Saudi Arabia.
| | - Naif Alqurashi
- Division of Cardiovascular Sciences, University of Manchester, Manchester, UK
| | - Richard Body
- Emergency Department, Manchester University NHS Foundation Trust, Manchester, UK
| | - Simon Carley
- Emergency Department, Manchester University NHS Foundation Trust, Manchester, UK
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Cao X, Zhao R, Meng Q, Hu H. Simplified and Preliminary Assessment for Dialysis Requirement in Earthquake Patients. Prehosp Disaster Med 2024; 39:116-117. [PMID: 38108126 DOI: 10.1017/s1049023x23006696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Affiliation(s)
- Xiaoman Cao
- West China School of Medicine, Sichuan University, Chengdu, Sichuan, China
- Disaster Medicine Association, Sichuan University, Chengdu, Sichuan, China
| | - Rui Zhao
- West China School of Medicine, Sichuan University, Chengdu, Sichuan, China
- Disaster Medicine Association, Sichuan University, Chengdu, Sichuan, China
| | - Qing Meng
- West China School of Medicine, Sichuan University, Chengdu, Sichuan, China
- Disaster Medicine Association, Sichuan University, Chengdu, Sichuan, China
| | - Hai Hu
- Emergency Management Office, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Lammers D, Williams J, Conner J, Francis A, Prey B, Marenco C, Morte K, Horton J, Barlow M, Escobar M, Bingham J, Eckert M. Utilization of Machine Learning Approaches to Predict Mortality in Pediatric Warzone Casualties. Mil Med 2024; 189:345-351. [PMID: 35730578 DOI: 10.1093/milmed/usac171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 05/19/2022] [Accepted: 05/27/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Identification of pediatric trauma patients at the highest risk for death may promote optimization of care. This becomes increasingly important in austere settings with constrained medical capabilities. This study aimed to develop and validate predictive models using supervised machine learning (ML) techniques to identify pediatric warzone trauma patients at the highest risk for mortality. METHODS Supervised learning approaches using logistic regression (LR), support vector machine (SVM), neural network (NN), and random forest (RF) models were generated from the Department of Defense Trauma Registry, 2008-2016. Models were tested and compared to determine the optimal algorithm for mortality. RESULTS A total of 2,007 patients (79% male, median age range 7-12 years old, 62.5% sustaining penetrating injury) met the inclusion criteria. Severe injury (Injury Severity Score > 15) was noted in 32.4% of patients, while overall mortality was 7.13%. The RF and SVM models displayed recall values of .9507 and .9150, while LR and NN displayed values of .8912 and .8895, respectively. Random forest (RF) outperformed LR, SVM, and NN on receiver operating curve (ROC) analysis demonstrating an area under the ROC of .9752 versus .9252, .9383, and .8748, respectively. CONCLUSION Machine learning (ML) techniques may prove useful in identifying those at the highest risk for mortality within pediatric trauma patients from combat zones. Incorporation of advanced computational algorithms should be further explored to optimize and supplement the diagnostic and therapeutic decision-making process.
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Affiliation(s)
- Daniel Lammers
- Department of General Surgery, Madigan Army Medical Center, Tacoma, WA 98431, USA
| | - James Williams
- Department of General Surgery, Madigan Army Medical Center, Tacoma, WA 98431, USA
| | - Jeff Conner
- Department of General Surgery, Madigan Army Medical Center, Tacoma, WA 98431, USA
| | - Andrew Francis
- Department of General Surgery, Madigan Army Medical Center, Tacoma, WA 98431, USA
| | - Beau Prey
- Department of General Surgery, Madigan Army Medical Center, Tacoma, WA 98431, USA
| | - Christopher Marenco
- Department of General Surgery, Madigan Army Medical Center, Tacoma, WA 98431, USA
| | - Kaitlin Morte
- Department of General Surgery, Madigan Army Medical Center, Tacoma, WA 98431, USA
| | - John Horton
- Department of General Surgery, Madigan Army Medical Center, Tacoma, WA 98431, USA
| | - Meade Barlow
- Department of Pediatric Surgery, Mary Bridge Children's Hospital, Tacoma, WA 98405, USA
| | - Mauricio Escobar
- Department of Pediatric Surgery, Mary Bridge Children's Hospital, Tacoma, WA 98405, USA
| | - Jason Bingham
- Department of General Surgery, Madigan Army Medical Center, Tacoma, WA 98431, USA
| | - Matthew Eckert
- Department of General Surgery, Madigan Army Medical Center, Tacoma, WA 98431, USA
- Department of Surgery, University of North Carolina Medical Center, Chapel Hill, NC 27514, USA
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Wohlgemut JM, Pisirir E, Stoner RS, Kyrimi E, Christian M, Hurst T, Marsh W, Perkins ZB, Tai NRM. Identification of major hemorrhage in trauma patients in the prehospital setting: diagnostic accuracy and impact on outcome. Trauma Surg Acute Care Open 2024; 9:e001214. [PMID: 38274019 PMCID: PMC10806521 DOI: 10.1136/tsaco-2023-001214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 12/24/2023] [Indexed: 01/27/2024] Open
Abstract
Background Hemorrhage is the most common cause of potentially preventable death after injury. Early identification of patients with major hemorrhage (MH) is important as treatments are time-critical. However, diagnosis can be difficult, even for expert clinicians. This study aimed to determine how accurate clinicians are at identifying patients with MH in the prehospital setting. A second aim was to analyze factors associated with missed and overdiagnosis of MH, and the impact on mortality. Methods Retrospective evaluation of consecutive adult (≥16 years) patients injured in 2019-2020, assessed by expert trauma clinicians in a mature prehospital trauma system, and admitted to a major trauma center (MTC). Clinicians decided to activate the major hemorrhage protocol (MHPA) or not. This decision was compared with whether patients had MH in hospital, defined as the critical admission threshold (CAT+): administration of ≥3 U of red blood cells during any 60-minute period within 24 hours of injury. Multivariate logistical regression analyses were used to analyze factors associated with diagnostic accuracy and mortality. Results Of the 947 patients included in this study, 138 (14.6%) had MH. MH was correctly diagnosed in 97 of 138 patients (sensitivity 70%) and correctly excluded in 764 of 809 patients (specificity 94%). Factors associated with missed diagnosis were penetrating mechanism (OR 2.4, 95% CI 1.2 to 4.7) and major abdominal injury (OR 4.0; 95% CI 1.7 to 8.7). Factors associated with overdiagnosis were hypotension (OR 0.99; 95% CI 0.98 to 0.99), polytrauma (OR 1.3, 95% CI 1.1 to 1.6), and diagnostic uncertainty (OR 3.7, 95% CI 1.8 to 7.3). When MH was missed in the prehospital setting, the risk of mortality increased threefold, despite being admitted to an MTC. Conclusion Clinical assessment has only a moderate ability to identify MH in the prehospital setting. A missed diagnosis of MH increased the odds of mortality threefold. Understanding the limitations of clinical assessment and developing solutions to aid identification of MH are warranted. Level of evidence Level III-Retrospective study with up to two negative criteria. Study type Original research; diagnostic accuracy study.
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Affiliation(s)
- Jared M Wohlgemut
- Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, UK
- Trauma Service, Royal London Hospital, Barts Health NHS Trust, London, UK
| | - Erhan Pisirir
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Rebecca S Stoner
- Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, UK
- Trauma Service, Royal London Hospital, Barts Health NHS Trust, London, UK
| | - Evangelia Kyrimi
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | | | | | - William Marsh
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Zane B Perkins
- Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, UK
- Trauma Service, Royal London Hospital, Barts Health NHS Trust, London, UK
| | - Nigel R M Tai
- Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, UK
- Trauma Service, Royal London Hospital, Barts Health NHS Trust, London, UK
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Choi D, Park JW, Kwak YH, Kim DK, Jung JY, Lee JH, Jung JH, Suh D, Lee HN, Lee EJ, Kim JH. Comparison of age-adjusted shock indices as predictors of injury severity in paediatric trauma patients immediately after emergency department triage: A report from the Korean multicentre registry. Injury 2024; 55:111108. [PMID: 37858444 DOI: 10.1016/j.injury.2023.111108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/26/2023] [Accepted: 10/05/2023] [Indexed: 10/21/2023]
Abstract
INTRODUCTION Shock index paediatric-adjusted (SIPA) was presented for early prediction of mortality and trauma team activation in paediatric trauma patients. However, the derived cut-offs of normal vital signs were based on old references. We established alternative SIPAs based on the other commonly used references and compared their predictive values. METHODS We performed a retrospective review of all paediatric trauma patients aged 1-15 years in the Emergency Department (ED)-based Injury In-depth Surveillance (EDIIS) database from January 1, 2011 to December 31, 2019. A total of 4 types of SIPA values were obtained based on the references as follows: uSIPA based on the Nelson textbook of paediatrics 21st ed., SIATLS based on the ATLS 10th guideline, SIPALS based on the PALS 2020 guideline, and SIPA. In each SIPA group, the cut-off was established by dividing the group into 4 subgroups: toddler (age 1-3), preschooler (age 4-6), schooler (age 7-12), and teenager (age 13-15). We performed an ROC analysis and calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) to compare the predicted values of each SIPA in mortality, ICU admission, and emergent surgery or intervention. RESULTS A total of 332,271 patients were included. The proportion of patients with an elevated shock index was 14.9 % (n = 49,347) in SIPA, 22.8 % (n = 75,850) in uSIPA, 0.3 % (n = 1058) in SIATLS, and 4.3 % (n = 14,168) in SIPALS. For mortality, uSIPA achieved the highest sensitivity (57.0 %; 95 % confidence interval 56.9 %-57.2 %) compared to SIPA (49.4 %, 95 % CI 49.2 %-49.5 %), SIATLS (25.5 %, 95 % CI 25.4 %-25.7 %), and SIPALS (43.8 %, 95 % CI 43.7 %-44.0 %), but there were no significant differences in the negative predictive value (NPV) or area under the curve (AUC). The positive predictive value (PPV) was highest in SIATLS (5.7 %, 95 % CI 5.6 %-5.8 %) compared to SIPA (0.2 %, 95 % CI 0.2 %-0.3 %), uSIPA (0.2 %, 95 % CI 0.2 %-0.2 %), and SIPALS (0.7 %, 95 % CI 0.7 %-0.8 %). The same findings were presented in ICU admission and emergent operation or intervention. CONCLUSION The ATLS-based shock index achieved the highest PPV and specificity compared to SIPA, uSIPA, and SIPALS for adverse outcomes in paediatric trauma.
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Affiliation(s)
- Dongmuk Choi
- Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Joong Wan Park
- Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Disaster Medicine Research Center, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Department of Emergency Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
| | - Young Ho Kwak
- Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Disaster Medicine Research Center, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Department of Emergency Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Do Kyun Kim
- Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Disaster Medicine Research Center, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Jae Yun Jung
- Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Disaster Medicine Research Center, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Jin Hee Lee
- Disaster Medicine Research Center, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Department of Emergency Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Department of Emergency Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro, Bundang-gu, Seong-Nam, 13620, Republic of Korea
| | - Jin Hee Jung
- Disaster Medicine Research Center, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Department of Emergency Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 07061, Republic of Korea
| | - Dongbum Suh
- Disaster Medicine Research Center, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Department of Emergency Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro, Bundang-gu, Seong-Nam, 13620, Republic of Korea
| | - Ha Ni Lee
- Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Disaster Medicine Research Center, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea; Department of Emergency Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Eui Jun Lee
- Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Jin Hee Kim
- Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
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Dinh M, Singh H, Deans C, Pople G, Bendall J, Sarrami P. Prehospital times and outcomes of patients transported using an ambulance trauma transport protocol: A data linkage analysis from New South Wales Australia. Injury 2023; 54:110988. [PMID: 37574381 DOI: 10.1016/j.injury.2023.110988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 07/13/2023] [Accepted: 08/05/2023] [Indexed: 08/15/2023]
Abstract
INTRODUCTION Prehospital trauma systems are designed to ensure optimal survival from critical injuries by triaging and transporting such patients to the most appropriate hospital in a timely manner. OBJECTIVES We sought to evaluate whether prehospital time and location (metropolitan versus non-metropolitan) were associated with 30-day mortality in a cohort of patients transported by road ambulance using a trauma transport protocol. METHODS Data linkage analysis of routinely collected ambulance and hospital data across all public hospitals in New South Wales (NSW). The data linkage cohort included adult patients (age ≥ 16years) transported by NSW Ambulance, where a T1 Major Trauma Transport Protocol was documented by paramedic crews and transported by road to a public hospital emergency department in NSW for two years between January 2019 and December 2020. The outcomes of interest were prehospital times (response time, scene time and transport time) and 30-day mortality due to injury. RESULTS 9012 cases were identified who were transported to an emergency department with T1 protocol indication. Median prehospital transport times were longer in non-metropolitan road transports [n = 3,071, 98 min (71-126)] compared to metropolitan transports [n = 5,941, 65 min (53-80), p < 0.001]. There was no significant difference in 30-day mortality between the two groups (1.24% vs 1.65%, p = 0.13). In the subgroup of patients with abnormal vital signs, the only predictors of mortality were increasing age, presence of severe injury (OR 24.87, 95%CI 11.02, 56.15, p < 0.001), and arrival at a non-trauma facility (OR 3.01, 95%CI 1.26, 7.20, p < 0.05). Increasing transport times were not found to increase the odds of 30-day mortality. DISCUSSION In the context of an inclusive trauma system and an established prehospital major trauma protocol, increasing prehospital transport times and scene location were not associated with increased mortality.
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Affiliation(s)
- Michael Dinh
- NSW Institute for Trauma and Injury Management (ITIM), NSW Agency for Clinical Innovation (ACI), Australia; Sydney Medical School, the University of Sydney, Australia
| | - Hardeep Singh
- NSW Institute for Trauma and Injury Management (ITIM), NSW Agency for Clinical Innovation (ACI), Australia
| | | | | | | | - Pooria Sarrami
- NSW Institute for Trauma and Injury Management (ITIM), NSW Agency for Clinical Innovation (ACI), Australia; South Western Sydney Clinical School, University of New South Wales, Australia.
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Dinh M, Singh H, Deans C, Pople G, Sarrami P, Sisson G, Newman J, Bendall J. Evaluation of the New South Wales ambulance T1 major trauma transport protocol: A state-wide data linkage study. Injury 2023; 54:110846. [PMID: 37246112 DOI: 10.1016/j.injury.2023.110846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 05/02/2023] [Accepted: 05/23/2023] [Indexed: 05/30/2023]
Abstract
INTRODUCTION Prehospital triage and transport protocols are critical components of the trauma systems. Still, there have been limited studies evaluating the performance of trauma protocols in New South Wales, such as the NSW ambulance major Trauma transport protocol (T1). OBJECTIVES Determine the performance of a major trauma transport protocol in a cohort of ambulance road transports METHODS: A data-linkage study using routine ambulance and hospital datasets across New South Wales Australia. Adult patients (age > 16 years) where any trauma protocol was indicated by paramedic crews and transported to any emergency department in the state were included. Major injury outcome was defined as an Injury Severity Score >8 based on coded in-patient diagnoses, or admission to intensive care unit or death within 30 days due to injury. Multivariable logistic regression was used to determine ambulance predictors of major injury outcome. RESULTS There were 168,452 linked ambulance transports analysed. Of the 9,012 T1 protocol activations, 2,443 cases had major injury [positive predictive value (PPV) = 27.1%]. There were 16,823 major injuries in total giving a sensitivity of the T1 protocol of 2,443/16,823 (14.5%), specificity of 145,060/151,629 (95.7%) and a negative predictive value (NPV) of 145,060/159,440 (91%). Overtriage rate associated with T1 protocol was 5,697/9,012 (63.2%) and undertriage rate was 5,509/159,440 (3.5%). The most important predictor of major injury was the activation of more than one trauma protocol by ambulance paramedics. DISCUSSION Overall, the T1 was associated with low undertriage and high specificity. The protocol may be improved by considering age and the number of trauma protocols activated by paramedics for any given patient.
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Affiliation(s)
- Michael Dinh
- NSW Institute for Trauma and Injury Management (ITIM), NSW Agency for Clinical Innovation (ACI), Australia; Sydney Medical School, the University of Sydney, Australia
| | - Hardeep Singh
- NSW Institute for Trauma and Injury Management (ITIM), NSW Agency for Clinical Innovation (ACI), Australia
| | | | | | - Pooria Sarrami
- NSW Institute for Trauma and Injury Management (ITIM), NSW Agency for Clinical Innovation (ACI), Australia; South Western Sydney Clinical School, University of New South Wales, Australia.
| | - Glenn Sisson
- NSW Institute for Trauma and Injury Management (ITIM), NSW Agency for Clinical Innovation (ACI), Australia
| | - Jonathon Newman
- NSW Institute for Trauma and Injury Management (ITIM), NSW Agency for Clinical Innovation (ACI), Australia
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Scquizzato T, Gamberini L, Semeraro F. Integrating Data From Motor Vehicle Crash Detection Systems of Smartphones and Wearable Digital Devices-The Future of Trauma Care. JAMA Surg 2023; 158:897-898. [PMID: 37378992 DOI: 10.1001/jamasurg.2023.1031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
This Viewpoint describes potential benefits for trauma care associated with integration of motor vehicle crash detection data from smartphones and wearable digital devices.
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Affiliation(s)
- Tommaso Scquizzato
- Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Lorenzo Gamberini
- Department of Anaesthesia, Intensive Care and Emergency Medical Services, Ospedale Maggiore, Bologna, Italy
| | - Federico Semeraro
- Department of Anaesthesia, Intensive Care and Emergency Medical Services, Ospedale Maggiore, Bologna, Italy
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Benhamed A, Fraticelli L, Claustre C, Gossiome A, Cesareo E, Heidet M, Emond M, Mercier E, Boucher V, David JS, El Khoury C, Tazarourte K. Risk factors and mortality associated with undertriage after major trauma in a physician-led prehospital system: a retrospective multicentre cohort study. Eur J Trauma Emerg Surg 2023; 49:1707-1715. [PMID: 36508023 DOI: 10.1007/s00068-022-02186-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 11/24/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE To assess the incidence of undertriage in major trauma, its determinant, and association with mortality. METHODS A multicentre retrospective cohort study was conducted using data from a French regional trauma registry (2011-2017). All major trauma (Injury Severity Score ≥ 16) cases aged ≥ 18 years and managed by a physician-led mobile medical team were included. Those transported to a level-II/III trauma centre were considered as undertriaged. Multivariable logistic regression was used to identify factors associated with undertriage. RESULTS A total of 7110 trauma patients were screened; 2591 had an ISS ≥ 16 and 320 (12.4%) of these were undertriaged. Older patients had higher risk for undertriage (51-65 years: OR = 1.60, 95% CI [1.11; 2.26], p = 0.01). Conversely, injury mechanism (fall from height: 0.62 [0.45; 0.86], p = 0.01; gunshot/stab injuries: 0.45 [0.22; 0.90], p = 0.02), on-scene time (> 60 min: 0.62 [0.40; 0.95], p = 0.03), prehospital endotracheal intubation (0.53 [0.39; 0.71], p < 0.001), and prehospital focussed assessment with sonography [FAST] (0.15 [0.08; 0.29], p < 0.001) were associated with a lower risk for undertriage. After adjusting for severity, undertriage was not associated with a higher risk of mortality (1.22 [0.80; 1.89], p = 0.36). CONCLUSIONS In our physician-led prehospital EMS system, undertriage was higher than recommended. Advanced aged was identified as a risk factor highlighting the urgent need for tailored triage protocol in this population. Conversely, the potential benefit of prehospital FAST on triage performance should be furthered explored as it may reduce undertriage. Fall from height and penetrating trauma were associated with a lower risk for undertriage suggesting that healthcare providers should remain vigilant of the potential seriousness of trauma associated with low-energy mechanisms.
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Affiliation(s)
- Axel Benhamed
- Service SAMU-Urgences, Centre Hospitalier Universitaire Édouard Herriot, Hospices Civils de Lyon, 5 Place d'Arsonval, 69437, Lyon, France.
| | | | - Clément Claustre
- RESUVal and RESCUe Network, Lucien Hussel Hospital, Vienne, France
| | - Amaury Gossiome
- Service SAMU-Urgences, Centre Hospitalier Universitaire Édouard Herriot, Hospices Civils de Lyon, 5 Place d'Arsonval, 69437, Lyon, France
| | - Eric Cesareo
- Service SAMU-Urgences, Centre Hospitalier Universitaire Édouard Herriot, Hospices Civils de Lyon, 5 Place d'Arsonval, 69437, Lyon, France
| | - Matthieu Heidet
- SAMU 94 and Emergency Department, Assistance Publique-Hôpitaux de Paris (AP-HP) University Hospital Henri Mondor, Créteil, France
- Université Paris-Est Créteil (UPEC), EA-3956 (CIR), Créteil, France
| | - Marcel Emond
- Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
| | - Eric Mercier
- Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
| | - Valérie Boucher
- Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
| | - Jean-Stéphane David
- Trauma Centre and Critical Care, Centre Hospitalier Universitaire Lyon Sud, Pierre-Bénite, France
| | - Carlos El Khoury
- RESUVal and RESCUe Network, Lucien Hussel Hospital, Vienne, France
- Emergency Department, Médipôle Hôpital Mutualiste, Villeurbanne, France
| | - Karim Tazarourte
- Service SAMU-Urgences, Centre Hospitalier Universitaire Édouard Herriot, Hospices Civils de Lyon, 5 Place d'Arsonval, 69437, Lyon, France
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Jokšić-Mazinjanin R, Marić N, Đuričin A, Gojković Z, Vasović V, Rakić G, Jokšić-Zelić M, Saravolac S. Prehospital Trauma Scoring Systems for Evaluation of Trauma Severity and Prediction of Outcomes. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59050952. [PMID: 37241183 DOI: 10.3390/medicina59050952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/22/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023]
Abstract
INTRODUCTION Trauma scoring systems in prehospital settings are supposed to ensure the most appropriate in-hospital treatment of the injured. AIM OF THE STUDY To determine the sensitivity and specificity of the CRAMS scale (circulation, respiration, abdomen, motor and speech), RTS score (revised trauma score), MGAP (mechanism, Glasgow Coma Scale, age, arterial pressure) and GAP (Glasgow Coma Scale, age, arterial pressure) scoring systems in prehospital settings in order to evaluate trauma severity and to predict the outcome. MATERIALS AND METHODS A prospective, observational study was conducted. For every trauma patient, a questionnaire was initially filled in by a prehospital doctor and these data were subsequently collected by the hospital. RESULTS The study included 307 trauma patients with an average age of 51.7 ± 20.9. Based on the ISS (injury severity score), severe trauma was diagnosed in 50 (16.3%) patients. MGAP had the best sensitivity/specificity ratio when the obtained values indicated severe trauma. The sensitivity and specificity were 93.4 and 62.0%, respectively, for an MGAP value of 22. MGAP and GAP were strongly correlated with each other and were statistically significant in predicting the outcome of treatment (OR 2.23; 95% Cl 1.06-4.70; p = 0.035). With a rise of one in the MGAP score value, the probability of survival increases 2.2 times. CONCLUSION MGAP and GAP, in prehospital settings, had higher sensitivity and specificity when identifying patients with a severe trauma and predicting an unfavorable outcome than other scoring systems.
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Affiliation(s)
- Radojka Jokšić-Mazinjanin
- Department of Emergency Medicine, Medical Faculty, University of Novi Sad, 21000 Novi Sad, Serbia
- Institute for Emergency Medical Services Novi Sad, 21000 Novi Sad, Serbia
| | - Nikolina Marić
- Institute for Emergency Medical Services Novi Sad, 21000 Novi Sad, Serbia
| | - Aleksandar Đuričin
- Department of Emergency Medicine, Medical Faculty, University of Novi Sad, 21000 Novi Sad, Serbia
- Institute for Emergency Medical Services Novi Sad, 21000 Novi Sad, Serbia
| | - Zoran Gojković
- Department of Surgery, Medical Faculty, University of Novi Sad, 21000 Novi Sad, Serbia
- Clinic for Orthopedic Surgery and Traumatology, University Clinical Center of Vojvodina, 21137 Novi Sad, Serbia
| | - Velibor Vasović
- Department of Pharmacology, Toxicology and Clinical Pharmacology, Medical Faculty, University of Novi Sad, 21000 Novi Sad, Serbia
| | - Goran Rakić
- Department of Emergency Medicine, Medical Faculty, University of Novi Sad, 21000 Novi Sad, Serbia
- Department of Intensive Surgical Therapy, Institute for Child and Youth Health Care Vojvodina, Pediatric Surgery Clinic, 21000 Novi Sad, Serbia
| | | | - Siniša Saravolac
- Institute for Emergency Medical Services Novi Sad, 21000 Novi Sad, Serbia
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Wohlgemut JM, Marsden MER, Stoner RS, Pisirir E, Kyrimi E, Grier G, Christian M, Hurst T, Marsh W, Tai NRM, Perkins ZB. Diagnostic accuracy of clinical examination to identify life- and limb-threatening injuries in trauma patients. Scand J Trauma Resusc Emerg Med 2023; 31:18. [PMID: 37029436 PMCID: PMC10082501 DOI: 10.1186/s13049-023-01083-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/31/2023] [Indexed: 04/09/2023] Open
Abstract
BACKGROUND Timely and accurate identification of life- and limb-threatening injuries (LLTIs) is a fundamental objective of trauma care that directly informs triage and treatment decisions. However, the diagnostic accuracy of clinical examination to detect LLTIs is largely unknown, due to the risk of contamination from in-hospital diagnostics in existing studies. Our aim was to assess the diagnostic accuracy of initial clinical examination for detecting life- and limb-threatening injuries (LLTIs). Secondary aims were to identify factors associated with missed injury and overdiagnosis, and determine the impact of clinician uncertainty on diagnostic accuracy. METHODS Retrospective diagnostic accuracy study of consecutive adult (≥ 16 years) patients examined at the scene of injury by experienced trauma clinicians, and admitted to a Major Trauma Center between 01/01/2019 and 31/12/2020. Diagnoses of LLTIs made on contemporaneous clinical records were compared to hospital coded diagnoses. Diagnostic performance measures were calculated overall, and based on clinician uncertainty. Multivariate logistic regression analyses identified factors affecting missed injury and overdiagnosis. RESULTS Among 947 trauma patients, 821 were male (86.7%), median age was 31 years (range 16-89), 569 suffered blunt mechanisms (60.1%), and 522 (55.1%) sustained LLTIs. Overall, clinical examination had a moderate ability to detect LLTIs, which varied by body region: head (sensitivity 69.7%, positive predictive value (PPV) 59.1%), chest (sensitivity 58.7%, PPV 53.3%), abdomen (sensitivity 51.9%, PPV 30.7%), pelvis (sensitivity 23.5%, PPV 50.0%), and long bone fracture (sensitivity 69.9%, PPV 74.3%). Clinical examination poorly detected life-threatening thoracic (sensitivity 48.1%, PPV 13.0%) and abdominal (sensitivity 43.6%, PPV 20.0%) bleeding. Missed injury was more common in patients with polytrauma (OR 1.83, 95% CI 1.62-2.07) or shock (systolic blood pressure OR 0.993, 95% CI 0.988-0.998). Overdiagnosis was more common in shock (OR 0.991, 95% CI 0.986-0.995) or when clinicians were uncertain (OR 6.42, 95% CI 4.63-8.99). Uncertainty improved sensitivity but reduced PPV, impeding diagnostic precision. CONCLUSIONS Clinical examination performed by experienced trauma clinicians has only a moderate ability to detect LLTIs. Clinicians must appreciate the limitations of clinical examination, and the impact of uncertainty, when making clinical decisions in trauma. This study provides impetus for diagnostic adjuncts and decision support systems in trauma.
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Affiliation(s)
- Jared M Wohlgemut
- Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, UK.
- Ward 12D, Trauma Service, Royal London Hospital, Barts NHS Health Trust, Whitechapel Road, London, E1 1FR, UK.
| | - Max E R Marsden
- Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, UK
- Ward 12D, Trauma Service, Royal London Hospital, Barts NHS Health Trust, Whitechapel Road, London, E1 1FR, UK
- Academic Department of Military Surgery and Trauma, Royal Centre of Defence Medicine, Birmingham, UK
| | - Rebecca S Stoner
- Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, UK
- Ward 12D, Trauma Service, Royal London Hospital, Barts NHS Health Trust, Whitechapel Road, London, E1 1FR, UK
| | - Erhan Pisirir
- Department of Electrical Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Evangelia Kyrimi
- Department of Electrical Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Gareth Grier
- London's Air Ambulance, Royal London Hospital, Barts Health NHS Trust, London, UK
| | - Michael Christian
- London's Air Ambulance, Royal London Hospital, Barts Health NHS Trust, London, UK
| | - Thomas Hurst
- London's Air Ambulance, Royal London Hospital, Barts Health NHS Trust, London, UK
| | - William Marsh
- Department of Electrical Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Nigel R M Tai
- Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, UK
- Ward 12D, Trauma Service, Royal London Hospital, Barts NHS Health Trust, Whitechapel Road, London, E1 1FR, UK
- Academic Department of Military Surgery and Trauma, Royal Centre of Defence Medicine, Birmingham, UK
| | - Zane B Perkins
- Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, UK
- Ward 12D, Trauma Service, Royal London Hospital, Barts NHS Health Trust, Whitechapel Road, London, E1 1FR, UK
- London's Air Ambulance, Royal London Hospital, Barts Health NHS Trust, London, UK
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15
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Beaumont-Boileau R, Nadeau A, Tardif PA, Malo C, Emond M, Moore L, Clément J, Mercier E. Performance of a provincial prehospital trauma triage protocol: A retrospective audit. TRAUMA-ENGLAND 2023. [DOI: 10.1177/14604086231156263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Objective To assess the accuracy of a five-step prehospital trauma triage protocol ( Échelle québécoise de triage préhospitalier en traumatologie (EQTPT)) to identify patients requiring urgent and specialized in-hospital trauma care in the Capitale-Nationale region – Québec. Methods The medical records of trauma patients transported by ambulance to one of the five participating emergency departments (EDs) between November 2016 and March 2017 were reviewed. Our primary outcome was the need for one of the following urgent and specialized trauma care: endotracheal intubation in the ED, administration of ≥ 2 blood products in the ED, angioembolization or surgery (excluding single limb surgery) < 24 h and admission to the intensive care unit (ICU) or in-hospital trauma-related death. Results A total of 902 patients were included. The median age was 63 (interquartile range (IQR) 51) and 494 (54.8%) were female. The main trauma mechanism was falls (n = 592), followed by motor vehicle accidents (n = 201). Eighty-two (9.1%) patients required at least one urgent and specialized trauma care. Of those, 44 (53.6%) were identified as requiring transport to a level one trauma centre (steps 1–3), 16 were identified as requiring transport to a centre with a lower level of trauma designation (steps 4–5) while 22 (26.8%) did not meet any of the EQTPT criteria. For steps 1 to 3, the sensitivity was 53.7% (95% confidence interval (CI) 42.9–64.4) and the specificity was 81.7% (95% CI 79.1–84.4) in identifying patients requiring specialized trauma care. Conclusion The EQTPT lacked sensitivity and was poorly specific to identify trauma patients who need specialized in-hospital trauma care.
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Affiliation(s)
- Roxane Beaumont-Boileau
- VITAM – Centre de recherche en santé durable de l’Université Laval, Québec, Canada
- Axe santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec – Université Laval, Québec, Canada
| | - Alexandra Nadeau
- VITAM – Centre de recherche en santé durable de l’Université Laval, Québec, Canada
- Axe santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec – Université Laval, Québec, Canada
| | - Pier-Alexandre Tardif
- Axe santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec – Université Laval, Québec, Canada
| | - Christian Malo
- Axe santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec – Université Laval, Québec, Canada
| | - Marcel Emond
- VITAM – Centre de recherche en santé durable de l’Université Laval, Québec, Canada
- Axe santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec – Université Laval, Québec, Canada
| | - Lynne Moore
- Axe santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec – Université Laval, Québec, Canada
| | - Julien Clément
- Axe santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec – Université Laval, Québec, Canada
- Département de Chirurgie, CHU de Québec, Québec, Canada
| | - Eric Mercier
- VITAM – Centre de recherche en santé durable de l’Université Laval, Québec, Canada
- Axe santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec – Université Laval, Québec, Canada
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Serum levels of copeptin predict adverse outcomes and improve risk prediction of TRISS and MGAP scores in patients with multiple trauma: A single-center prospective cohort study. J Trauma Acute Care Surg 2023; 94:336-343. [PMID: 36121260 DOI: 10.1097/ta.0000000000003793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND Multiple trauma deserves early prognostication and stratification. Copeptin, a precursor of vasopressin, is produced in response to stress. We examined the association between serum levels of copeptin and mortality risk in patients with multiple trauma. We aimed to also enhance the previously established Trauma-Related Injury Severity Score (TRISS) and Mechanism, GCS, Age, and Arterial Pressure (MGAP) score with the additional consideration of copeptin levels. METHODS This single-center prospective cohort study enrolled patients who presented to the emergency department with potential major injuries. The serum levels of copeptin were measured, and the correlation to clinical severity in terms of 30-day mortality and requirement of intensive care management was analyzed. By combining copeptin levels with TRISS or MGAP, comparison between performance of the original models with the copeptin-enhanced models was performed via discrimination, calibration, and reclassification analyses. RESULTS There was a significant increase in copeptin levels in patients who died within 30 days (median 644.4 pg/L, interquartile range [472.5, 785.9]) or were admitted to intensive care units (233.8 pg/L, [105.7, 366.4]), compared with those who survived (37.49 pg/L, [17.88, 77.68]). Adding the natural log of copeptin levels to the established TRISS and MGAP models improved the AUC of TRISS from 0.89 to 0.96, and that of MGAP from 0.82 to 0.95. Both calibrations as measured by Brier's scores and reclassification as measured by net reclassification improvement or integrated discrimination improvement demonstrated significant improvements. A Web-based calculator was built to generate predicted mortality rates of various models for convenient clinical use. CONCLUSION Admission serum copeptin levels were correlated with clinical severity in multiple trauma. Coupling copeptin with preexisting trauma severity scores improved prediction accuracy. Copeptin shows promise as a novel biomarker for the prediction of trauma outcome. LEVEL OF EVIDENCE Prognostic and Epidemiologic; Level III.
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Benhamed A, Emond M, Mercier E, Heidet M, Gauss T, Saint-Supery P, Yadav K, David JS, Claustre C, Tazarourte K. Accuracy of a Prehospital Triage Protocol in Predicting In-Hospital Mortality and Severe Trauma Cases among Older Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1975. [PMID: 36767343 PMCID: PMC9916137 DOI: 10.3390/ijerph20031975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
Background: Prehospital trauma triage tools are not tailored to identify severely injured older adults. Our trauma triage protocol based on a three-tier trauma severity grading system (A, B, and C) has never been studied in this population. The objective was to assess its accuracy in predicting in-hospital mortality among older adults (≥65 years) and to compare it to younger patients. Methods: A retrospective multicenter cohort study, from 2011 to 2021. Consecutive adult trauma patients managed by a mobile medical team were prospectively graded A, B, or C according to the initial seriousness of their injuries. Accuracy was evaluated using sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios. Results: 8888 patients were included (14.1% were ≥65 years). Overall, 10.1% were labeled Grade A (15.2% vs. 9.3% among older and younger adults, respectively), 21.9% Grade B (27.9% vs. 20.9%), and 68.0% Grade C (56.9% vs. 69.8%). In-hospital mortality was 7.1% and was significantly higher among older adults regardless of severity grade. Grade A showed lower sensitivity (50.5 (43.7; 57.2) vs. 74.6 (69.8; 79.1), p < 0.0001) for predicting mortality among older adults compared to their younger counterparts. Similarly, Grade B was associated with lower sensitivity (89.5 (84.7; 93.3) vs. 97.2 (94.8; 98.60), p = 0.0003) and specificity (69.4 (66.3; 72.4) vs. 74.6 (73.6; 75.7], p = 0.001) among older adults. Conclusions: Our prehospital trauma triage protocol offers high sensitivity for predicting in-hospital mortality including older adults.
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Affiliation(s)
- Axel Benhamed
- Service SAMU-Urgences, Centre Hospitalier Universitaire Édouard Herriot, Hospices Civils de Lyon, 69123 Lyon, France
| | - Marcel Emond
- Centre de Recherche, CHU de Québec-Université Laval, Québec, QC G1J 1Z4, Canada
| | - Eric Mercier
- Centre de Recherche, CHU de Québec-Université Laval, Québec, QC G1J 1Z4, Canada
| | - Matthieu Heidet
- SAMU 94, Hôpitaux Universitaires Henri Mondor, Assistance Publique-Hôpitaux de Paris (AP-HP), 75610 Paris, France
| | - Tobias Gauss
- Anaesthesia Critical Care, Grenoble Alpes University Hospital, 38700 Grenoble, France
| | - Pierre Saint-Supery
- Service SAMU-Urgences, Centre Hospitalier Universitaire Édouard Herriot, Hospices Civils de Lyon, 69123 Lyon, France
| | - Krishan Yadav
- Department of Emergency Medicine, University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON K1Y 4E9, Canada
| | - Jean-Stéphane David
- Service d’Anesthésie-Réanimation, Centre Hospitalier Universitaire Lyon Sud, Hospices Civils de Lyon, 69310 Pierre-Bénite, France
- Research on Healthcare Performance (RESHAPE), INSERM U1290, Université Claude Bernard Lyon 1, 69100 Lyon, France
| | - Clement Claustre
- RESUVal Trauma Network, Centre Hospitalier Lucien Hussel, 38200 Vienne, France
| | - Karim Tazarourte
- Service SAMU-Urgences, Centre Hospitalier Universitaire Édouard Herriot, Hospices Civils de Lyon, 69123 Lyon, France
- Research on Healthcare Performance (RESHAPE), INSERM U1290, Université Claude Bernard Lyon 1, 69100 Lyon, France
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Prescott T, May S, Horne S, Barnard E. Prehospital emergency care in a humanitarian environment: an overview of the ethical considerations. BMJ Mil Health 2022; 168:431-434. [PMID: 37778873 DOI: 10.1136/military-2022-002201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 08/14/2022] [Indexed: 11/04/2022]
Abstract
Recent history has demonstrated that UK Defence personnel can be used, potentially with little notice, in humanitarian disaster zones. The provision of prehospital emergency care (PHEC) in a humanitarian environment requires an innovative approach to overcome the technical challenges of a resource-limited setting. In addition to technical challenges, prehospital practitioners working in a humanitarian environment can expect to be faced with ethically testing situations that they are not familiar with in their usual practice. The organisational and individual ethical decision-making burden can result in significant harms. Therefore, the aim of this paper is to discuss the ethical considerations relevant to providing PHEC during a humanitarian disaster in order that personnel can be more prepared to optimally deliver care. This is a paper commissioned as a part of the Humanitarian and Disaster Relief Operations special issue of BMJ Military Health.
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Affiliation(s)
- Tim Prescott
- Army Medical Service, Camberley, Surrey, UK
- Department of Anaesthesia, Portsmouth Hospitals NHS Trust, Portsmouth, UK
| | - S May
- Emergency Department, Queen Elizabeth Hospital Birmingham, Birmingham, UK
| | - S Horne
- Academic Department of Military Emergency Medicine, Royal Centre for Defence Medicine, Birmingham, UK
- Emergency Department, University Hospitals Plymouth NHS Trust, Plymouth, UK
| | - E Barnard
- Academic Department of Military Emergency Medicine, Royal Centre for Defence Medicine, Birmingham, UK
- Emergency Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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Canceled Air Ambulance Trauma Scene Calls: A Prospective Observational Study of Causes and Outcomes of Trauma Auto-launch Cancellations. Air Med J 2022; 41:435-441. [PMID: 36153139 DOI: 10.1016/j.amj.2022.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 06/20/2022] [Accepted: 07/15/2022] [Indexed: 11/23/2022]
Abstract
OBJECTIVE Direct transport, occasionally by helicopter, to a trauma hospital for severely injured patients is associated with decreased mortality. This study sought to determine causes for air ambulance trauma response cancellations and secondarily to identify patients who underwent secondary transfer to a trauma center after a canceled air ambulance dispatch. METHODS This prospective cohort study used administrative databases from August 2020 to August 2021 to collect data related to canceled trauma calls. Frequencies of cancellation reasons and transferred patients were summarized, and the estimated delay to trauma center arrival was calculated. Subsequent probabilistic matching was performed to identify patients who underwent secondary transfer. RESULTS Of 3,232 trauma calls, 1,924 were canceled for reasons including the trauma bypass criteria not being met, patient brought to trauma center, and patient refused transfer. Of the 1,117 patients for whom an air ambulance was canceled because they did not meet the trauma bypass criteria, 184 (16.5%) were later transferred to a lead trauma hospital, with a median delay of 4.12 hours (interquartile range = 2.57-7.35 hours). CONCLUSIONS Most scene call cancellations were due to patients not meeting the trauma bypass criteria; yet, 16.5% of these patients were later transported to a trauma center. Interventions are needed in education, adherence, and modification of the trauma bypass criteria.
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Hagebusch P, Faul P, Ruckes C, Störmann P, Marzi I, Hoffmann R, Schweigkofler U, Gramlich Y. The predictive value of serum lactate to forecast injury severity in trauma-patients increases taking age into account. Eur J Trauma Emerg Surg 2022:10.1007/s00068-022-02046-2. [PMID: 35852548 DOI: 10.1007/s00068-022-02046-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 06/30/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND Two-tier trauma team activation (TTA)-protocols often fail to safely identify severely injured patients. A possible amendment to existing triage scores could be the measurement of serum lactate. The aim of this study was to determine the ability of the combination of serum lactate and age to predict severe injuries (ISS > 15). METHODS We conducted a retrospective cohort study in a single level one trauma center in a 20 months study-period and analyzed every trauma team activation (TTA) due to the mechanism of injury (MOI). Primary endpoint was the correlation between serum lactate (and age) and ISS and mortality. The validity of lactate (LAC) and lactate contingent on age (LAC + AGE) were assessed using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve. We used a logistic regression model to predict the probability of an ISS > 15. RESULTS During the study period we included 325 patients, 75 met exclusion criteria. Mean age was 43 years (Min.: 11, Max.: 90, SD: 18.7) with a mean ISS of 8.4 (SD: 8.99). LAC showed a sensitivity of 0.82 with a specificity of 0.62 with an optimal cutoff at 1.72 mmol/l to predict an ISS > 15. The AUC of the ROC for LAC was 0.764 (95% CI: 0.67-0.85). The LAC + AGE model provided a significantly improved predictive value compared to LAC (0.765 vs. 0.828, p < 0.001). CONCLUSIONS The serum lactate concentration is able to predict injury severity. The prognostic value improves significantly taking the patients age into consideration. The combination of serum lactate and age could be a suitable Ad-on to existing two-tier triage protocols to minimize undertriage. LEVEL OF EVIDENCE Level IV, retrospective cohort study.
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Affiliation(s)
- Paul Hagebusch
- Department of Trauma and Orthopedic Surgery, BG Unfallklinik Frankfurt Am Main gGmbH, Friedberger Landstr. 430, 60389, Frankfurt am Main, Germany.
| | - Philipp Faul
- Department of Trauma and Orthopedic Surgery, BG Unfallklinik Frankfurt Am Main gGmbH, Friedberger Landstr. 430, 60389, Frankfurt am Main, Germany
| | - Christian Ruckes
- Interdisciplinary Center Clinical Trials (IZKS), University Medical Center Mainz, Langenbeckstraße 1, 55131, Mainz, Germany
| | - Philipp Störmann
- Department of Trauma, Hand and Reconstructive Surgery, Hospital of the Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany
| | - Ingo Marzi
- Department of Trauma, Hand and Reconstructive Surgery, Hospital of the Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany
| | - Reinhard Hoffmann
- Department of Trauma and Orthopedic Surgery, BG Unfallklinik Frankfurt Am Main gGmbH, Friedberger Landstr. 430, 60389, Frankfurt am Main, Germany
| | - Uwe Schweigkofler
- Department of Trauma and Orthopedic Surgery, BG Unfallklinik Frankfurt Am Main gGmbH, Friedberger Landstr. 430, 60389, Frankfurt am Main, Germany
| | - Yves Gramlich
- Department of Trauma and Orthopedic Surgery, BG Unfallklinik Frankfurt Am Main gGmbH, Friedberger Landstr. 430, 60389, Frankfurt am Main, Germany
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Hietbrink F, Mohseni S, Mariani D, Naess PA, Rey-Valcárcel C, Biloslavo A, Bass GA, Brundage SI, Alexandrino H, Peralta R, Leenen LPH, Gaarder T. What trauma patients need: the European dilemma. Eur J Trauma Emerg Surg 2022:10.1007/s00068-022-02014-w. [PMID: 35798972 DOI: 10.1007/s00068-022-02014-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/23/2022] [Indexed: 11/03/2022]
Abstract
There is a need for implementation and maturation of an inclusive trauma system in every country in Europe, with patient centered care by dedicated surgeons. This process should be initiated by physicians and medical societies, based on the best available evidence, and supported and subsequently funded by the government and healthcare authorities. A systematic approach to organizing all aspects of trauma will result in health gain in terms of quality of care provided, higher survival rates, better functional outcomes and quality of life. In addition, it will provide reliable data for both research, quality improvement and prevention programs. Severely injured patients need surgeons with broad technical and non-technical competencies to provide holistic, inclusive and compassionate care. Here we describe the philosophy of the surgical approach and define the necessary skills for trauma, both surgical and other, to improve outcome of severely injured patients. As surgery is an essential part of trauma care, surgeons play an important role for the optimal treatment of trauma patients throughout and after their hospital stay, including the intensive care unit (ICU). However, in most European countries, it might not be obvious to either the general public, patients or even the physicians that the surgeon must assume this responsibility in the ICU to optimize outcomes. The aim of this paper is to define key elements in terms of trauma systems, trauma-specific surgical skills and active critical care involvement, to organize and optimize trauma care in Europe.
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Affiliation(s)
- Falco Hietbrink
- Department of Surgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
| | - Shahin Mohseni
- Division of Trauma and Emergency Surgery, Department of Surgery, Orebro University Hospital and School of Medical Sciences, Orebro University, 702 81, Orebro, Sweden
| | - Diego Mariani
- Department of General Surgery, ASST Ovest Milanese, Milan, Italy
| | - Päl Aksel Naess
- Department of Traumatology, Oslo University Hospital Ulleval, Oslo, Norway
| | | | - Alan Biloslavo
- General Surgery Department, Cattinara University Hospital, Trieste, Italy
| | - Gary A Bass
- Division of Traumatology, Surgical Critical Care and Emergency Surgery, University of Pennsylvania, Philadelphia, USA
| | - Susan I Brundage
- Department of Surgery, R Adams Cowley Shock Trauma Center, Baltimore, USA
| | | | - Ruben Peralta
- Department of Surgery, Trauma Surgery, Hamad General Hospital, Doha, Qatar
- Department of Surgery, Universidad Nacional Pedro Henriquez Urena, Santo Domingo, Dominican Republic
- Hamad Injury Prevention Program, Hamad Trauma Center, Hamad General Hospital, Doha, Qatar
| | - Luke P H Leenen
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Tina Gaarder
- Department of Traumatology, Oslo University Hospital Ulleval, Oslo, Norway
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Morris R, Karam BS, Zolfaghari EJ, Chen B, Kirsh T, Tourani R, Milia DJ, Napolitano L, de Moya M, Conterato M, Aliferis C, Ma S, Tignanelli C. Need for Emergent Intervention within 6 Hours: A Novel Prediction Model for Hospital Trauma Triage. PREHOSP EMERG CARE 2022; 26:556-565. [PMID: 34313534 DOI: 10.1080/10903127.2021.1958961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/29/2021] [Accepted: 07/16/2021] [Indexed: 10/20/2022]
Abstract
Objective: A tiered trauma team activation system allocates resources proportional to patients' needs based upon injury burden. Previous trauma hospital-triage models are limited to predicting Injury Severity Score which is based on > 10% all-cause in-hospital mortality, rather than need for emergent intervention within 6 hours (NEI-6). Our aim was to develop a novel prediction model for hospital-triage that utilizes criteria available to the EMS provider to predict NEI-6 and the need for a trauma team activation.Methods: A regional trauma quality collaborative was used to identify all trauma patients ≥ 16 years from the American College of Surgeons-Committee on Trauma verified Level 1 and 2 trauma centers. Logistic regression and random forest were used to construct two predictive models for NEI-6 based on clinically relevant variables. Restricted cubic splines were used to model nonlinear predictors. The accuracy of the prediction model was assessed in terms of discrimination.Results: Using data from 12,624 patients for the training dataset (62.6% male; median age 61 years; median ISS 9) and 9,445 patients for the validation dataset (62.6% male; median age 59 years; median ISS 9), the following significant predictors were selected for the prediction models: age, gender, field GCS, vital signs, intentionality, and mechanism of injury. The final boosted tree model showed an AUC of 0.85 in the validation cohort for predicting NEI-6.Conclusions: The NEI-6 trauma triage prediction model used prehospital metrics to predict need for highest level of trauma activation. Prehospital prediction of major trauma may reduce undertriage mortality and improve resource utilization.
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Coulombe P, Tardif PA, Nadeau A, Beaumont-Boileau R, Malo C, Emond M, Blanchard PG, Moore L, Mercier E. Accuracy of Prehospital Trauma Triage to Select Older Adults Requiring Urgent and Specialized Trauma Care. J Surg Res 2022; 275:281-290. [DOI: 10.1016/j.jss.2022.02.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 01/12/2022] [Accepted: 02/12/2022] [Indexed: 10/18/2022]
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Kang BH, Jung K, Kim S, Youn SH, Song SY, Huh Y, Chang HJ. Accuracy and influencing factors of the Field Triage Decision Scheme for adult trauma patients at a level-1 trauma center in Korea. BMC Emerg Med 2022; 22:101. [PMID: 35672707 PMCID: PMC9172086 DOI: 10.1186/s12873-022-00637-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 04/26/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We evaluated the accuracy of the prehospital Field Triage Decision Scheme, which has recently been applied in the Korean trauma system, and the factors associated with severe injury and prognosis at a regional trauma center in Korea. METHODS From 2016 to 2018, prehospital data of injured patients were obtained from the emergency medical services of the national fire agency and matched with trauma outcomes at our institution. Severe injury (Injury Severity Score > 15), overtriage/undertriage rate, positive predictive value, negative predictive value, and accuracy were reviewed according to the triage protocol steps. A multivariate logistic regression analysis was performed to identify influencing factors in the field triage. RESULTS Of the 2438 patients reviewed, 853 (35.0%) were severely injured. The protocol accuracy was as follows: step 1, 72.3%; step 2, 65.0%; step 3, 66.2%; step 1 or 2, 70.2%; and step 1, 2, or 3, 66.4%. Odds ratios (OR) (95% confidence interval [CIfor systolic blood pressure < 90 mmHg (3.535 [1.920-6.509]; p < 0.001), altered mental status (17.924 [8.980-35.777]; p < 0.001), and pedestrian injuries (2.473 [1.339-4.570], p = 0.04) were significantly associated with 24-h mortality. Penetrating torso injuries (7.108 [4.108-12.300]; p < 0.001); two or more proximal long bone fractures (4.134 [2.316-7.377]); p < 0.001); crushed, degloved, and mangled extremities (8.477 [4.068-17.663]; p < 0.001); amputation proximal to the wrist or ankle (42.964 [5.764-320.278]; p < 0.001); and fall from height (2.141 [1.497-3.062]; p < 0.001) were associated with 24-h surgical intervention. CONCLUSION The Korean field triage protocol is not yet accurate, with only some factors reflecting injury severity, making reevaluation necessary.
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Affiliation(s)
- Byung Hee Kang
- Division of Trauma Surgery, Department of Surgery, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, 16499, Korea.,Gyeonggi South Regional Trauma Center, Ajou University Hospital, Suwon, Korea
| | - Kyoungwon Jung
- Division of Trauma Surgery, Department of Surgery, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, 16499, Korea.,Gyeonggi South Regional Trauma Center, Ajou University Hospital, Suwon, Korea
| | - Sora Kim
- Gyeonggi South Regional Trauma Center, Ajou University Hospital, Suwon, Korea
| | - So Hyun Youn
- Gyeonggi South Regional Trauma Center, Ajou University Hospital, Suwon, Korea
| | - Seo Young Song
- Gyeonggi South Regional Trauma Center, Ajou University Hospital, Suwon, Korea
| | - Yo Huh
- Division of Trauma Surgery, Department of Surgery, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, 16499, Korea. .,Gyeonggi South Regional Trauma Center, Ajou University Hospital, Suwon, Korea.
| | - Hyuk-Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Korea
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Alqurashi N, Alotaibi A, Bell S, Lecky F, Body R. The diagnostic accuracy of prehospital triage tools in identifying patients with traumatic brain injury: A systematic review. Injury 2022; 53:2060-2068. [PMID: 35190184 DOI: 10.1016/j.injury.2022.02.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 02/04/2022] [Accepted: 02/06/2022] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Prehospital care providers are usually the first responders for patients with traumatic brain injury (TBI). Early identification of patients with TBI enables them to receive trauma centre care, which improves outcomes. Two recent systematic reviews concluded that prehospital triage tools for undifferentiated major trauma have low accuracy. However, neither review focused specifically on patients with suspected TBI. Therefore, we aimed to systematically review the existing evidence on the diagnostic performance of prehospital triage tools for patients with suspected TBI. METHODS A comprehensive search of the current literature was conducted using Medline, EMBASE, CINAHL Plus and the Cochrane library (inception to 1st June 2021). We also searched Google Scholar, OpenGrey, pre-prints (MedRxiv) and dissertation databases. We included all studies published in English language evaluating the accuracy of prehospital triage tools for TBI. We assessed methodological quality and risk of bias using a modified Quality Assessment of Diagnostic Studies (QUADAS-2) tool. Two reviewers independently performed searches, screened titles and abstracts and undertook methodological quality assessments. Due to the heterogeneity in the population of interest and prehospital triage tools used, a narrative synthesis was undertaken. RESULTS The initial search identified 1787 articles, of which 8 unique eligible studies met the inclusion criteria (5 retrospective, 2 prospective, 1 mixed). Overall, sensitivity of triage tools studied ranged from 19.8% to 87.9% for TBI identification. Specificity ranged from 41.4% to 94.4%. Two decision tools have been validated more than once: HITS-NS (2 studies, sensitivity 28.3-32.6%, specificity 89.1-94.4%) and the Field Triage Decision Scheme (4 studies, sensitivity 19.8-64.5%, specificity 77.4%-93.1%). Existing tools appear to systematically under-triage older patients. CONCLUSION Further efforts are needed to improve and optimise prehospital triage tools. Consideration of additional predictors (e.g., biomarkers, clinical decision aids and paramedic judgement) may be required to improve diagnostic accuracy.
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Affiliation(s)
- Naif Alqurashi
- Division of Cardiovascular Sciences, University of Manchester, Manchester, UK; Department of Accidents and Trauma, Prince Sultan bin Abdelaziz College for Emergency Medical Services, King Saud University, Riyadh, Saudi Arabia.
| | - Ahmed Alotaibi
- Division of Cardiovascular Sciences, University of Manchester, Manchester, UK.
| | - Steve Bell
- Medical Directorate, North West Ambulance Service NHS Trust, Bolton, BL1 5DD, UK.
| | - Fiona Lecky
- University of Sheffield, School of Health and Related Research, Sheffield, UK.
| | - Richard Body
- Division of Cardiovascular Sciences, University of Manchester, Manchester, UK; Emergency Department, Manchester University NHS Foundation Trust, Manchester, UK.
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Lokerman RD, Waalwijk JF, van der Sluijs R, Houwert RM, Leenen LPH, van Heijl M. Evaluating pre-hospital triage and decision-making in patients who died within 30 days post-trauma: A multi-site, multi-center, cohort study. Injury 2022; 53:1699-1706. [PMID: 35317915 DOI: 10.1016/j.injury.2022.02.047] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 02/16/2022] [Accepted: 02/23/2022] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Evaluating pre-hospital triage and decision-making in patients who died post-trauma is crucial to decrease undertriage and improve future patients' chances of survival. A study that has adequately investigated this is currently lacking. The aim of this study was therefore to evaluate pre-hospital triage and decision-making in patients who died within 30 days post-trauma. MATERIALS AND METHODS A multi-site, multi-center, cohort study was conducted. Trauma patients who were transported from the scene of injury to a trauma center by ambulance and died within 30 days post-trauma, were included. The main outcome was undertriage, defined as erroneously transporting a severely injured patient (Injury Severity Score ≥ 16) to a lower-level trauma center. RESULTS Between January 2015 and December 2017, 2116 patients were included, of whom 765 (36.2%) were severely injured. A total of 103 of these patients (13.5%) were undertriaged. Undertriaged patients were often elderly with a severe head and/or thoracic injury as a result of a minor fall (< 2 m). A majority of the undertriaged patients were triaged without assistance of a specialized physician (100 [97.1%]), did not meet field triage criteria for level-I trauma care (81 [78.6%]), and could have been transported to the nearest level-I trauma center within 45 min (93 [90.3%]). CONCLUSION Approximately 14% of the severely injured patients who died within 30 days were undertriaged and could have benefited from treatment at a level-I trauma center (i.e., specialized trauma care). Improvement of pre-hospital triage is needed to potentially increase future patients' chances of survival.
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Affiliation(s)
- Robin D Lokerman
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Job F Waalwijk
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands; Department of Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Rogier van der Sluijs
- Center for Artificial Intelligence in Medicine & Imaging, Stanford University, Stanford, United States
| | - Roderick M Houwert
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands; Trauma Center Utrecht, Utrecht, The Netherlands
| | - Luke P H Leenen
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands; Trauma Center Utrecht, Utrecht, The Netherlands
| | - Mark van Heijl
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands; Trauma Center Utrecht, Utrecht, The Netherlands; Department of Surgery, Diakonessenhuis Utrecht/Zeist/Doorn, Utrecht, The Netherlands
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Driessen MLS, de Jongh MAC, Sturms LM, Bloemers FW, Ten Duis HJ, Edwards MJR, Hartog DD, Leenhouts PA, Poeze M, Schipper IB, Spanjersberg RW, Wendt KW, de Wit RJ, van Zutphen SWAM, Leenen LPH. Severe isolated injuries have a high impact on resource use and mortality: a Dutch nationwide observational study. Eur J Trauma Emerg Surg 2022; 48:4267-4276. [PMID: 35445813 DOI: 10.1007/s00068-022-01972-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 04/02/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE The Berlin poly-trauma definition (BPD) has proven to be a valuable way of identifying patients with at least a 20% risk of mortality, by combining anatomical injury characteristics with the presence of physiological risk factors (PRFs). Severe isolated injuries (SII) are excluded from the BPD. This study describes the characteristics, resource use and outcomes of patients with SII according to their injured body region, and compares them with those included in the BPD. METHODS Data were extracted from the Dutch National Trauma Registry between 2015 and 2019. SII patients were defined as those with an injury with an Abbreviated Injury Scale (AIS) score ≥ 4 in one body region, with at most minor additional injuries (AIS ≤ 2). We performed an SII subgroup analysis per AIS region of injury. Multivariable linear and logistic regression models were used to calculate odds ratios (ORs) for SII subgroup patient outcomes, and resource needs. RESULTS A total of 10.344 SII patients were included; 47.8% were ICU admitted, and the overall mortality was 19.5%. The adjusted risk of death was highest for external (2.5, CI 1.9-3.2) and for head SII (2.0, CI 1.7-2.2). Patients with SII to the abdomen (2.3, CI 1.9-2.8) and thorax (1.8, CI 1.6-2.0) had a significantly higher risk of ICU admission. The highest adjusted risk of disability was recorded for spine injuries (10.3, CI 8.3-12.8). The presence of ≥ 1 PRFs was associated with higher mortality rates compared to their poly-trauma counterparts, displaying rates of at least 15% for thoracic, 17% for spine, 22% for head and 49% for external SII. CONCLUSION A severe isolated injury is a high-risk entity and should be recognized and treated as such. The addition of PRFs to the isolated anatomical injury criteria contributes to the identification of patients with SII at risk of worse outcomes.
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Affiliation(s)
- Mitchell L S Driessen
- Dutch Network Emergency Care ((LNAZ)), Newtonlaan 115, 3584 BH, Utrecht, The Netherlands.
| | - Mariska A C de Jongh
- Network Emergency Care Brabant, P.O. Box 90151, 5000 LC, Tilburg, The Netherlands
| | - Leontien M Sturms
- Dutch Network Emergency Care ((LNAZ)), Newtonlaan 115, 3584 BH, Utrecht, The Netherlands
| | - Frank W Bloemers
- Department of Surgery, Amsterdam University Medical Center, Location VU, P.O. Box 1081 HV, Amsterdam, The Netherlands
| | | | - Michael J R Edwards
- Department of Trauma Surgery, Radboud University Medical Center, 618., P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Dennis den Hartog
- Trauma Research Unit, Department of Surgery, Erasmus MC, Rotterdam, P.O. Box 3000 CA, Rotterdam, The Netherlands
| | - Peter A Leenhouts
- Department of Surgery, Amsterdam University Medical Center, Location AMC, Amsterdam, The Netherlands
| | - Martijn Poeze
- Department of Surgery, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
| | - Inger B Schipper
- Department of Trauma Surgery, Leiden University Medical Center, P.O Box 9600, 2300 RC, Leiden, The Netherlands
| | | | - Klaus W Wendt
- Department of Trauma Surgery, University Medical Center Groningen, P.O Box 30.001, 9700 RB, Groningen,, The Netherlands
| | - Ralph J de Wit
- Department of Trauma Surgery, Medical Spectrum Twente, P.O. Box 50000, 7500 KA, Enschede, The Netherlands
| | - Stefan W A M van Zutphen
- Department of Surgery, Elisabeth Two Cities Hospital, P.O. Box 90151, 5000 LC, Tilburg, The Netherlands
| | - Luke P H Leenen
- Department of Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
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Maris M, Berben SAA, Verhoef W, van Grunsven P, Tan ECTH. The quality of pre-announcement communication and the accuracy of estimated arrival time in critically ill patients, a prospective observational study. BMC Emerg Med 2022; 22:44. [PMID: 35305570 PMCID: PMC8933928 DOI: 10.1186/s12873-022-00601-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Accepted: 02/28/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Efficient communication between (helicopter) emergency medical services ((H)EMS) and healthcare professionals in the emergency department (ED) is essential to facilitate appropriate team mobilization and preparation for critically ill patients. A correct estimated time of arrival (ETA) is crucial for patient safety and time-management since all team members have to be present, but needless waiting must be avoided. The aim of this study is to investigate the quality of the pre-announcement and the accuracy of the ETA.
Methods
A prospective observational study was conducted in potentially critically ill/injured patients transported to the ED of a Level I trauma center by the (H)EMS. Research assistants observed time slots prior to arrival at the ED and during the initial assessment, using a stopwatch and an observation form. Information on the pre-announcement (including mechanisms of injury, vital signs, and the ETA) is also collected.
Results
One hundred and ninety-three critically ill/injured patients were included. Information in the pre-announcement was often incomplete; in particular vital signs (86%). Forty percent of the announced critically ill patients were non-critical at arrival in the ED. The observed time of arrival (OTA) for 66% of the patients was later than the provided ETA (median 5:15 min) and 19% of the patients arrived sooner (3:10 min). Team completeness prior to the arrival of the patient was achieved for 66% of the patients.
Conclusions
The quality of the pre-announcement is moderate, sometimes lacking essential information on vital signs. Forty percent of the critically ill patients turned out to be non-critical at the ED. Furthermore, the ETA was regularly inaccurate and team completeness was insufficient. However, none of the above was correlated to the rate of complications, mortality, LOS, ward of admission or discharge location.
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Pandor A, Fuller G, Essat M, Sabir L, Holt C, Buckley Woods H, Chatha H. Individual risk factors predictive of major trauma in pre-hospital injured older patients: a systematic review. Br Paramed J 2022; 6:26-40. [PMID: 35340581 PMCID: PMC8892449 DOI: 10.29045/14784726.2022.03.6.4.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Background Older adults with major trauma are frequently under-triaged, increasing the risk of preventable morbidity and mortality. The aim of this systematic review was to identify which individual risk factors and predictors are likely to increase the risk of major trauma in elderly patients presenting to emergency medical services (EMS) following injury, to inform future elderly triage tool development. Methods Several electronic databases (including Medline, EMBASE, CINAHL and the Cochrane Library) were searched from inception to February 2021. Prospective or retrospective diagnostic studies were eligible if they examined a prognostic factor (often termed predictor or risk factor) for, or diagnostic test to identify, major trauma. Selection of studies, data extraction and risk of bias assessments using the Quality in Prognostic Studies (QUIPS) tool were undertaken independently by at least two reviewers. Narrative synthesis was used to summarise the findings. Results Nine studies, all performed in US trauma networks, met review inclusion criteria. Vital signs (Glasgow Coma Scale (GCS) score, systolic blood pressure, respiratory rate and shock index with specific elderly cut-off points), EMS provider judgement, comorbidities and certain crash scene variables (other occupants injured, occupant not independently mobile and head-on collision) were identified as significant pre-hospital variables associated with major trauma in the elderly in multi-variable analyses. Heart rate and anticoagulant were not significant predictors. Included studies were at moderate or high risk of bias, with applicability concerns secondary to selected study populations. Conclusions Existing pre-hospital major trauma triage tools could be optimised for elderly patients by including elderly-specific physiology thresholds. Future work should focus on more relevant reference standards and further evaluation of novel elderly relevant triage tool variables and thresholds.
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Affiliation(s)
- Abdullah Pandor
- The University of Sheffield ORCID iD: https://orcid.org/0000-0003-2552-5260
| | - Gordon Fuller
- The University of Sheffield ORCID iD: https://orcid.org/0000-0001-8532-3500
| | - Munira Essat
- The University of Sheffield ORCID iD: https://orcid.org/0000-0003-2397-402X
| | - Lisa Sabir
- The University of Sheffield ORCID iD: https://orcid.org/0000-0001-6488-3314
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Avoiding immediate whole-body trauma CT: a prospective observational study in stable trauma patients. Updates Surg 2022; 74:343-353. [PMID: 35001252 DOI: 10.1007/s13304-021-01199-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 10/25/2021] [Indexed: 10/19/2022]
Abstract
High energy blunt trauma patients with normal vital signs are usually investigated with a Contrast Enhanced Computed Tomography (CECT) for torso injuries. CECT involves high levels of radiations, often showing no injuries in patients over-triaged to the trauma center. The aim of our study was to suggest an alternative diagnostic protocol based on Emergency Room (ER) tests (physical exam, blood tests, extended FAST, Chest and Pelvis X-ray) to avoid CECT in selected patients. A prospective cohort study was conducted from September 2018 to September 2019. Five hundred patients fulfilled the inclusion criteria. Patients received torso-CECT scan only if they had at least one positive ER test. The validity of the single component of the protocol and the global validity of the ER tests to detect torso injuries was assessed through sensitivity, specificity, positive (PPV) and negative (NPV) predictive value, positive (+ LR) and negative (- LR) likelihood ratio. Multivariate analysis was performed to identify independent predictors of torso injuries. One hundred and seventy patients received a torso-CECT scan because of positive ER tests. ER tests showed a global sensitivity for torso injuries of 86.96% (95% CI 80.17-92.08) specificity of 83.98%(95% CI 79.79-87.60), PPV of 67.42% (95% CI 61.83-72.54), NPV of 94.41% (95% CI 91.63-96.30) + LR of 5.43 (95% CI 4.25-6.93), - LR of 0.16 (95% CI 0.10-0.24). ER tests in an experienced center seem to be able to identify more severe blunt trauma patients needing CECT. Further studies are advisable to confirm these results.
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Hugelius K, Lidberg J, Ekh L, Örtenwall P. Vital and Clinical Signs Gathered Within the First Minutes After a Motorcycle Accident on a Racetrack: an Observational Study. SPORTS MEDICINE - OPEN 2021; 7:59. [PMID: 34417908 PMCID: PMC8380220 DOI: 10.1186/s40798-021-00350-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 07/28/2021] [Indexed: 12/02/2022]
Abstract
Background Little is known about vital signs during the very first minutes after an accident. This study aimed to describe the vital signs of motorcycle riders shortly after racetrack crashes and examine the clinical value of these data for the prehospital clinical assessments. Methods A retrospective observational cohort based on data from medical records on 104 motorcycle accidents at a racetrack in Sweden, covering the season of 2019 (May 01 until September 17), was conducted. Both race and practice runs were included. In addition, data from the Swedish Trauma Registry were used for patients referred to the hospital. Kruskal-Wallis test and linear regression were calculated in addition to descriptive statistics. Results In all, 30 riders (29%) were considered injured. Sixteen riders (15%) were referred to the hospital, and of these, five patients (5% of all riders) had suffered serious injuries. Aside from a decreased level of consciousness, no single vital sign or kinematic component observed within the early minutes after a crash was a strong clinical indicator of the occurrence of injuries. However, weak links were found between highsider or collision crashes and the occurrence of injuries. Conclusion Except for a decreased level of consciousness, this study indicates that the clinical value of early measured vital signs might be limited for the pre-hospital clinical assessment in the motorsport environment. Also, an adjustment of general trauma triage protocols might be considered for settings such as racetracks. Using the context with medical professionals at the victim’s side within a few minutes after an accident, that is common in motorsport, offers unique possibilities to increase our understanding of clinical signs and trauma in the early state after an accident.
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Fuller G, Keating S, Turner J, Miller J, Holt C, Smith JE, Lecky F. Injured patients who would benefit from expedited major trauma centre care: a consensus-based definition for the United Kingdom. Br Paramed J 2021; 6:7-14. [PMID: 34970078 PMCID: PMC8669639 DOI: 10.29045/14784726.2021.12.6.3.7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
INTRODUCTION Despite the importance of treating the 'right patient in the right place at the right time', there is no gold standard for defining which patients should receive expedited major trauma centre (MTC) care. This study aimed to define a reference standard applicable to the United Kingdom (UK) National Health Service major trauma networks. METHODS A one-day facilitated roundtable expert consensus meeting was conducted at the University of Sheffield, UK, in September 2019. An expert panel of 17 clinicians was purposively sampled, representing all specialities relevant to major trauma management. A consultation process was subsequently held using focus groups with Public and Patient Involvement (PPI) representatives to review and confirm the proposed reference standard. RESULTS Four reference standard domains were identified, comprising: need for critical interventions; presence of significant individual anatomical injuries; burden of multiple minor injuries; and important patient attributes. Specific criteria were defined for each domain. PPI consultation confirmed all aspects of the reference standard. A coding algorithm to allow operationalisation in Trauma Audit and Research Network data was also formulated, allowing classification of any case submitted to their database for future research. CONCLUSIONS This reference standard defines which patients would benefit from expedited MTC care. It could be used as the target for future pre-hospital injury triage tools, for setting best practice tariffs for trauma care reimbursement and to evaluate trauma network performance. Future research is recommended to compare patient characteristics, management and outcomes of the proposed definition with previously established reference standards.
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Elevated serum lactate levels and age are associated with an increased risk for severe injury in trauma team activation due to trauma mechanism. Eur J Trauma Emerg Surg 2021; 48:2717-2723. [PMID: 34734311 DOI: 10.1007/s00068-021-01811-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 10/25/2021] [Indexed: 01/06/2023]
Abstract
BACKGROUND The identification of risk factors for severe injury is crucial in trauma triage and trauma team activation (TTA) depends on a sufficient triage. The aim of this study was to determine whether or not elevated serum lactate levels and age are risk factors for severe injury in TTA due to trauma mechanism. METHODS We conducted a retrospective cohort study in a single level one trauma center between September 2019 and May 2021 and analysed every TTA due to trauma mechanism. Primary endpoint of interest was the association of serum lactate as well as age with injury severity assessed by the injury severity score (ISS). RESULTS During the study period, we included 250 patients. Mean age was 43.3 years (Min.: 11, Max.: 90, SD: 18.7) and the initial lactate level was 1.7 mmol/L (SD: 0.95) with a mean ISS of 8.4 (SD: 8.99). The adjusted odds ratio (OR) for age > 65 being associated with an ISS > 16 is 9.7 (p < 0.001; 95% CI 4.01-25.58) and for lactate > 2.2 mmol/L being associated with an ISS > 16 is 6.29 (p < 0.001; 95% CI 2.93-13.48). A lactate level of > 4 mmol/L results in a 36-fold higher risk of severe injury with an ISS > 16 (OR 36.06; 95% CI 4-324.29). CONCLUSION This study identifies age (> 65) and lactate (> 2.2 mmol/L) as independent risk factors for severe injury in a TTA due to trauma mechanism. Existing triage protocols might benefit from congruous amendments.
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Waalwijk JF, Lokerman RD, van der Sluijs R, Fiddelers AAA, Leenen LPH, Poeze M, van Heijl M. Evaluating the effect of driving distance to the nearest higher level trauma centre on undertriage: a cohort study. Emerg Med J 2021; 39:457-462. [PMID: 34593562 DOI: 10.1136/emermed-2021-211635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 09/19/2021] [Indexed: 11/03/2022]
Abstract
BACKGROUND It is of great importance that emergency medical services professionals transport trauma patients in need of specialised care to higher level trauma centres to achieve optimal patient outcomes. Possibly, undertriage is more likely to occur in patients with a longer distance to the nearest higher level trauma centre. This study aims to determine the association between driving distance and undertriage. METHOD This prospective cohort study was conducted from January 2015 to December 2017. All trauma patients in need of specialised care that were transported to a trauma centre by emergency medical services professionals from eight ambulance regions in the Netherlands were included. Patients with critical resource use or an Injury Severity Score ≥16 were defined as in need of specialised care. Driving distance was calculated between the scene of injury and the nearest higher level trauma centre. Undertriage was defined as transporting a patient in need of specialised care to a lower level trauma centre. Generalised linear models adjusting for confounders were constructed to determine the association between driving distance to the nearest higher level trauma centre per 1 and 10 km and undertriage. A sensitivity analysis was conducted with a generalised linear model including inverse probability weights. RESULTS 6101 patients, of which 4404 patients with critical resource use and 3760 patients with an Injury Severity Score ≥16, were included. The adjusted generalised linear model demonstrated a significant association between a 1 km (OR 1.04; 95% CI 1.04 to 1.05) and 10 kilometre (OR 1.50; 95% CI 1.42 to 1.58) increase in driving distance and undertriage in patients with critical resource use. Also in patients with an Injury Severity Score ≥16, a significant association between driving distance (1 km (OR 1.06; 95% CI 1.06 to 1.07), 10 km (OR 1.83; 95% CI 1.71 to 1.95)) and undertriage was observed. CONCLUSION Patients in need of specialised care are less likely to be transported to the appropriate trauma centre with increasing driving distance. Our results suggest that emergency medical services professionals incorporate driving distance into their decision making regarding transport destinations, although distance is not included in the triage protocol.
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Affiliation(s)
- Job F Waalwijk
- Department of Surgery, University Medical Centre Utrecht, Utrecht, The Netherlands .,Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands.,Network Acute Care Limburg, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Robin D Lokerman
- Department of Surgery, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Rogier van der Sluijs
- Center for Artificial Intelligence in Medicine & Imaging, Stanford University, Stanford, California, USA
| | - Audrey A A Fiddelers
- Network Acute Care Limburg, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Luke P H Leenen
- Department of Surgery, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Martijn Poeze
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands.,Network Acute Care Limburg, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Mark van Heijl
- Department of Surgery, University Medical Centre Utrecht, Utrecht, The Netherlands.,Department of Surgery, Diakonessenhuis Utrecht/Zeist/Doorn, Utrecht, The Netherlands
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Primary admission and secondary transfer of trauma patients to Dutch level I and level II trauma centers: predictors and outcomes. Eur J Trauma Emerg Surg 2021; 48:2459-2467. [PMID: 34586442 PMCID: PMC9192481 DOI: 10.1007/s00068-021-01790-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 09/17/2021] [Indexed: 11/02/2022]
Abstract
PURPOSE The importance and impact of determining which trauma patients need to be transferred between hospitals, especially considering prehospital triage systems, is evident. The objective of this study was to investigate the association between mortality and primary admission and secondary transfer of patients to level I and II trauma centers, and to identify predictors of primary and secondary admission to a designated level I trauma center. METHODS Data from the Dutch Trauma Registry South West (DTR SW) was obtained. Patients ≥ 18 years who were admitted to a level I or level II trauma center were included. Patients with isolated burn injuries were excluded. In-hospital mortality was compared between patients that were primarily admitted to a level I trauma center, patients that were transferred to a level I trauma center, and patients that were primarily admitted to level II trauma centers. Logistic regression models were used to adjust for potential confounders. A subgroup analysis was done including major trauma (MT) patients (ISS > 15). Predictors determining whether patients were primarily admitted to level I or level II trauma centers or transferred to a level I trauma center were identified using logistic regression models. RESULTS A total of 17,035 patients were included. Patients admitted primarily to a level I center, did not differ significantly in mortality from patients admitted primarily to level II trauma centers (Odds Ratio (OR): 0.73; 95% confidence interval (CI) 0.51-1.06) and patients transferred to level I centers (OR: 0.99; 95%CI 0.57-1.71). Subgroup analyses confirmed these findings for MT patients. Adjusted logistic regression analyses showed that age (OR: 0.96; 95%CI 0.94-0.97), GCS (OR: 0.81; 95%CI 0.77-0.86), AIS head (OR: 2.30; 95%CI 2.07-2.55), AIS neck (OR: 1.74; 95%CI 1.27-2.45) and AIS spine (OR: 3.22; 95%CI 2.87-3.61) are associated with increased odds of transfers to a level I trauma center. CONCLUSIONS This retrospective study showed no differences in in-hospital mortality between general trauma patients admitted primarily and secondarily to level I trauma centers. The most prominent predictors regarding transfer of trauma patients were age and neurotrauma. These findings could have practical implications regarding the triage protocols currently used.
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Eichinger M, Robb HDP, Scurr C, Tucker H, Heschl S, Peck G. Challenges in the PREHOSPITAL emergency management of geriatric trauma patients - a scoping review. Scand J Trauma Resusc Emerg Med 2021; 29:100. [PMID: 34301281 PMCID: PMC8305876 DOI: 10.1186/s13049-021-00922-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 07/14/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Despite a widely acknowledged increase in older people presenting with traumatic injury in western populations there remains a lack of research into the optimal prehospital management of this vulnerable patient group. Research into this cohort faces many uniqu1e challenges, such as inconsistent definitions, variable physiology, non-linear presentation and multi-morbidity. This scoping review sought to summarise the main challenges in providing prehospital care to older trauma patients to improve the care for this vulnerable group. METHODS AND FINDINGS A scoping review was performed searching Google Scholar, PubMed and Medline from 2000 until 2020 for literature in English addressing the management of older trauma patients in both the prehospital arena and Emergency Department. A thematic analysis and narrative synthesis was conducted on the included 131 studies. Age-threshold was confirmed by a descriptive analysis from all included studies. The majority of the studies assessed triage and found that recognition and undertriage presented a significant challenge, with adverse effects on mortality. We identified six key challenges in the prehospital field that were summarised in this review. CONCLUSIONS Trauma in older people is common and challenges prehospital care providers in numerous ways that are difficult to address. Undertriage and the potential for age bias remain prevalent. In this Scoping Review, we identified and discussed six major challenges that are unique to the prehospital environment. More high-quality evidence is needed to investigate this issue further.
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Affiliation(s)
- Michael Eichinger
- Major Trauma and Cutrale Perioperative and Ageing Group, Imperial College Healthcare NHS Trust, London, UK
| | - Henry Douglas Pow Robb
- Academic Clinical Fellow in General Surgery, Imperial College Healthcare NHS Trust, London, UK
| | - Cosmo Scurr
- Department of Anaesthesia, Imperial College Healthcare NHS Trust, London, UK
| | | | - Stefan Heschl
- Department of Cardiac, Thoracic and Vascular Anaesthesiology and Intensive Care, Medical University Hospital, Graz, Austria
| | - George Peck
- Cutrale Peri-operative and Ageing Group, Imperial College London, London, UK
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Sturms LM, Driessen MLS, van Klaveren D, Ten Duis HJ, Kommer GJ, Bloemers FW, den Hartog D, Edwards MJ, Leenhouts PA, van Zutphen S, Schipper IB, Spanjersberg R, Wendt KW, de Wit RJ, Poeze M, Leenen LP, de Jongh M. Dutch trauma system performance: Are injured patients treated at the right place? Injury 2021; 52:1688-1696. [PMID: 34045042 DOI: 10.1016/j.injury.2021.05.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 05/09/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND The goal of trauma systems is to match patient care needs to the capabilities of the receiving centre. Severely injured patients have shown better outcomes if treated in a major trauma centre (MTC). We aimed to evaluate patient distribution in the Dutch trauma system. Furthermore, we sought to identify factors associated with the undertriage and transport of severely injured patients (Injury Severity Score (ISS) >15) to the MTC by emergency medical services (EMS). METHODS Data on all acute trauma admissions in the Netherlands (2015-2016) were extracted from the Dutch national trauma registry. An ambulance driving time model was applied to calculate MTC transport times and transport times of ISS >15 patients to the closest MTC and non-MTC. A multivariable logistic regression analysis was performed to identify factors associated with ISS >15 patients' EMS undertriage to an MTC. RESULTS Of the annual average of 78,123 acute trauma admissions, 4.9% had an ISS >15. The nonseverely injured patients were predominantly treated at non-MTCs (79.2%), and 65.4% of patients with an ISS >15 received primary MTC care. This rate varied across the eleven Dutch trauma networks (36.8%-88.4%) and was correlated with the transport times to an MTC (Pearson correlation -0.753, p=0.007). The trauma networks also differed in the rates of secondary transfers of ISS >15 patients to MTC hospitals (7.8% - 59.3%) and definitive MTC care (43.6% - 93.2%). Factors associated with EMS undertriage of ISS >15 patients to the MTC were female sex, older age, severe thoracic and abdominal injury, and longer additional EMS transport times. CONCLUSIONS Approximately one-third of all severely injured patients in the Netherlands are not initially treated at an MTC. Special attention needs to be directed to identifying patient groups with a high risk of undertriage. Furthermore, resources to overcome longer transport times to an MTC, including the availability of ambulance and helicopter services, may improve direct MTC care and result in a decrease in the variation of the undertriage of severely injured patients to MTCs among the Dutch trauma networks. Furthermore, attention needs to be directed to improving primary triage guidelines and instituting uniform interfacility transfer agreements.
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Affiliation(s)
| | | | - David van Klaveren
- Erasmus University Medical Centre, Department of Public Health, Rotterdam, The Netherlands
| | - Henk-Jan Ten Duis
- Erasmus University Medical Centre, Department of Public Health, Rotterdam, The Netherlands
| | - Geert Jan Kommer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Frank W Bloemers
- Department of Surgery, Amsterdam University Medical Center, location VU, Amsterdam, the Netherlands
| | - Dennis den Hartog
- Department of Surgery, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Michael J Edwards
- Department of Trauma surgery, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Peter A Leenhouts
- Department of Surgery, Amsterdam University Medical Center, location AMC, Amsterdam, the Netherlands
| | - S van Zutphen
- Department of Surgery, ETZ Two Cities Hospital, Tilburg, The Netherlands
| | - Inger B Schipper
- Department of Trauma surgery, Leiden University Medical Centre, Leiden, The Netherlands
| | | | - Klaus W Wendt
- Department of Trauma Surgery, University Medical Centre Groningen, University of Groningen
| | - Ralph J de Wit
- Department of Trauma Surgery, Medical Spectrum Twente, Enschede, The Netherlands
| | - Martijn Poeze
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Luke P Leenen
- Department of Trauma surgery, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Mariska de Jongh
- Brabant Trauma Registry, Network Emergency Care Brabant, Tilburg, the Netherlands
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Larsson A, Berg J, Gellerfors M, Gerdin Wärnberg M. The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression: a simulation study. BMC Med Inform Decis Mak 2021; 21:192. [PMID: 34148560 PMCID: PMC8215793 DOI: 10.1186/s12911-021-01558-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 06/09/2021] [Indexed: 11/10/2022] Open
Abstract
Background Accurate prehospital trauma triage is crucial for identifying critically injured patients and determining the level of care. In the prehospital setting, time and data are often scarce, limiting the complexity of triage models. The aim of this study was to assess whether, compared with logistic regression, the advanced machine learner XGBoost (eXtreme Gradient Boosting) is associated with reduced prehospital trauma mistriage. Methods We conducted a simulation study based on data from the US National Trauma Data Bank (NTDB) and the Swedish Trauma Registry (SweTrau). We used categorized systolic blood pressure, respiratory rate, Glasgow Coma Scale and age as our predictors. The outcome was the difference in under- and overtriage rates between the models for different training dataset sizes. Results We used data from 813,567 patients in the NTDB and 30,577 patients in SweTrau. In SweTrau, the smallest training set of 10 events per free parameter was sufficient for model development. XGBoost achieved undertriage rates in the range of 0.314–0.324 with corresponding overtriage rates of 0.319–0.322. Logistic regression achieved undertriage rates ranging from 0.312 to 0.321 with associated overtriage rates ranging from 0.321 to 0.323. In NTDB, XGBoost required the largest training set size of 1000 events per free parameter to achieve robust results, whereas logistic regression achieved stable performance from a training set size of 25 events per free parameter. For the training set size of 1000 events per free parameter, XGBoost obtained an undertriage rate of 0.406 with an overtriage of 0.463. For logistic regression, the corresponding undertriage was 0.395 with an overtriage of 0.468. Conclusion The under- and overtriage rates associated with the advanced machine learner XGBoost were similar to the rates associated with logistic regression regardless of sample size, but XGBoost required larger training sets to obtain robust results. We do not recommend using XGBoost over logistic regression in this context when predictors are few and categorical. Supplementary Information The online version contains supplementary material available at 10.1186/s12911-021-01558-y.
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Affiliation(s)
- Anna Larsson
- Emergency Department, Södersjukhuset, Sjukhusbacken 10, 11883, Stockholm, Sweden
| | - Johanna Berg
- Department of Emergency Medicine, Skåne University Hospital Malmö, Inga Marie Nilssons gata 47, 21421, Malmö, Sweden.,Department of Global Public Health, Karolinska Institutet, 171 77, Solna, Sweden
| | - Mikael Gellerfors
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77, Solna, Sweden.,Function Perioperative Medicine and Intensive Care, Karolinska University Hospital, Solna, Stockholm, Sweden.,Swedish Air Ambulance (SLA), Mora, Sweden.,Rapid Response Cars, Stockholm, Sweden
| | - Martin Gerdin Wärnberg
- Department of Global Public Health, Karolinska Institutet, 171 77, Solna, Sweden. .,Function Perioperative Medicine and Intensive Care, Karolinska University Hospital, Solna, Stockholm, Sweden.
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Hasler RM, Rauer T, Pape HC, Zwahlen M. Inter-hospital transfer of polytrauma and severe traumatic brain injury patients: Retrospective nationwide cohort study using data from the Swiss Trauma Register. PLoS One 2021; 16:e0253504. [PMID: 34143842 PMCID: PMC8213144 DOI: 10.1371/journal.pone.0253504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 06/05/2021] [Indexed: 11/26/2022] Open
Abstract
Introduction Polytrauma and traumatic brain injury (TBI) patients are among the most vulnerable patients in trauma care and exhibit increased morbidity and mortality. Timely care is essential for their outcome. Severe TBI with initially high scores on the Glasgow Coma (GCS) scores is difficult to recognise on scene and referral to a Major Trauma Center (MTC) might be delayed. Therefore, we examined current referral practice, injury patterns and mortality in these patients. Materials and methods Retrospective, nationwide cohort study with Swiss Trauma Register (STR) data between 01/012015 and 31/12/2018. STR includes patients ≥16 years with an Injury Severity Score (ISS) >15 and/or an Abbreviated Injury Scale (AIS) for head >2. We performed Cox proportional hazard models with injury type as the primary outcome and mortality as the dependent variable. Secondary outcomes were inter-hospital transfer and age. Results 9,595 patients were included. Mortality was 12%. 2,800 patients suffered from isolated TBI. 69% were men. Median age was 61 years and median ISS 21. Two thirds of TBI patients had a GCS of 13–15 on admission to the Emergency Department (ED). 26% of patients were secondarily transferred to an MTC. Patients with isolated TBI and those aged ≥65 years were transferred more often. Crude analysis showed a significantly elevated hazard for death of 1.48 (95%CI 1.28–1.70) for polytrauma patients with severe TBI and a hazard ratio (HR) of 1.82 (95%CI 1.58–2.09) for isolated severe TBI, compared to polytrauma patients without TBI. Patients directly admitted to the MTC had a significantly elevated HR for death of 1.63 (95%CI 1.40–1.89), compared to those with secondary transfer. Conclusions A high initial GCS does not exclude the presence of severe TBI and triage to an MTC should be seriously considered for elderly TBI patients.
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Affiliation(s)
- Rebecca M. Hasler
- Department of Traumatology, University Hospital Zürich, Zürich, Switzerland
- Institute of Social and Preventive Medicine (ISPM), Bern University, Bern, Switzerland
- * E-mail:
| | - Thomas Rauer
- Department of Traumatology, University Hospital Zürich, Zürich, Switzerland
| | | | - Marcel Zwahlen
- Institute of Social and Preventive Medicine (ISPM), Bern University, Bern, Switzerland
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Gianola S, Castellini G, Biffi A, Porcu G, Fabbri A, Ruggieri MP, Stocchetti N, Napoletano A, Coclite D, D'Angelo D, Fauci AJ, Iacorossi L, Latina R, Salomone K, Gupta S, Iannone P, Chiara O. Accuracy of pre-hospital triage tools for major trauma: a systematic review with meta-analysis and net clinical benefit. World J Emerg Surg 2021; 16:31. [PMID: 34112209 PMCID: PMC8193906 DOI: 10.1186/s13017-021-00372-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 05/18/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND We conducted a systematic review to evaluate and compare the accuracy of pre-hospital triage tools for major trauma in the context of the development of the Italian National Institute of Health guidelines on major trauma integrated management. METHODS PubMed, Embase, and CENTRAL were searched up to November 2019 for studies investigating pre-hospital triage tools. The ROC (receiver operating characteristics) curve and net clinical benefit for all selected triage tools were performed. Quality assessment was performed using the Quality Assessment of Diagnostic Accuracy Studies-2. Certainty of the evidence was judged with the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. RESULTS We found 15 observational studies of 13 triage tools for adults and 11 for children. In adults, according to the ROC curve and the net clinical benefit, the most reliable tool was the Northern French Alps Trauma System (TRENAU), adopting injury severity score (ISS) > 15 as reference (sensitivity (Sn), 0.92; specificity (Sp), 0.41; 1 study; sample size, 2572; high certainty of the evidence). When mortality as reference was considered, the pre-hospital triage tool with the best net clinical benefit trajectory was the New Trauma Score (NTS) < 18 (Sn, 0.82; Sp, 0.86; 1 study; sample size, 1001; moderate certainty of the evidence). In children, high variability among all triage tools for sensitivity and specificity was found. CONCLUSION Sensitivity and specificity varied across all available pre-hospital trauma triage tools. TRENAU and NTS are the best accurate triage tools for adults, whereas in the pediatric area a large variability prevents any firm conclusion.
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Affiliation(s)
- Silvia Gianola
- Unit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Greta Castellini
- Unit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
| | - Annalisa Biffi
- National Centre for Healthcare Research and Pharmacoepidemiology, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Gloria Porcu
- National Centre for Healthcare Research and Pharmacoepidemiology, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Andrea Fabbri
- Emergency Department, AUSL della Romagna, Forlì, Italy
| | | | - Nino Stocchetti
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Cà Granda-Ospedale Maggiore Policlinico, Milan, Italy
| | - Antonello Napoletano
- Centro Eccellenza Clinica Qualità e Sicurezza delle Cure, Istituto Superiore di Sanità, Rome, Italy
| | - Daniela Coclite
- Centro Eccellenza Clinica Qualità e Sicurezza delle Cure, Istituto Superiore di Sanità, Rome, Italy
| | - Daniela D'Angelo
- Centro Eccellenza Clinica Qualità e Sicurezza delle Cure, Istituto Superiore di Sanità, Rome, Italy
| | - Alice Josephine Fauci
- Centro Eccellenza Clinica Qualità e Sicurezza delle Cure, Istituto Superiore di Sanità, Rome, Italy
| | - Laura Iacorossi
- Centro Eccellenza Clinica Qualità e Sicurezza delle Cure, Istituto Superiore di Sanità, Rome, Italy
| | - Roberto Latina
- Centro Eccellenza Clinica Qualità e Sicurezza delle Cure, Istituto Superiore di Sanità, Rome, Italy
| | - Katia Salomone
- Centro Eccellenza Clinica Qualità e Sicurezza delle Cure, Istituto Superiore di Sanità, Rome, Italy
| | - Shailvi Gupta
- Adams Cowley Shock Trauma Center, University of Maryland, Baltimora, MD, USA
| | - Primiano Iannone
- Centro Eccellenza Clinica Qualità e Sicurezza delle Cure, Istituto Superiore di Sanità, Rome, Italy
| | - Osvaldo Chiara
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- General Surgery and Trauma Team, ASST Grande Ospedale Metropolitano Niguarda, University of Milan, Piazza Ospedale Maggiore, Milan, Milano, Italy
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Morris RS, Karam BS, Murphy PB, Jenkins P, Milia DJ, Hemmila MR, Haines KL, Puzio TJ, de Moya MA, Tignanelli CJ. Field-Triage, Hospital-Triage and Triage-Assessment: A Literature Review of the Current Phases of Adult Trauma Triage. J Trauma Acute Care Surg 2021; 90:e138-e145. [PMID: 33605709 DOI: 10.1097/ta.0000000000003125] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT Despite major improvements in the United States trauma system over the past two decades, prehospital trauma triage is a significant challenge. Undertriage is associated with increased mortality, and overtriage results in significant resource overuse. The American College of Surgeons Committee on Trauma benchmarks for undertriage and overtriage are not being met. Many barriers to appropriate field triage exist, including lack of a formal definition for major trauma, absence of a simple and widely applicable triage mode, and emergency medical service adherence to triage protocols. Modern trauma triage systems should ideally be based on the need for intervention rather than injury severity. Future studies should focus on identifying the ideal definition for major trauma and creating triage models that can be easily deployed. This narrative review article presents challenges and potential solutions for prehospital trauma triage.
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Affiliation(s)
- Rachel S Morris
- From the Department of Surgery (R.M., B.S.K., P.M., D.M., M.d.M.), Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Surgery (P.J.), Indiana University, Indianapolis, Indiana; Department of Surgery (M.H.), University of Michigan, Ann Arbor, Michigan; Department of Surgery (K.H.), Duke University, Durham, North Carolina; Department of Surgery (T.P.), University of Texas Health Science Center, Houston, Texas; Department of Surgery (C.T.), and Institute for Health Informatics (C.T.), University of Minnesota, Minneapolis; and Department of Surgery (C.T.), North Memorial Health Hospital, Robbinsdale, Minnesota
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Shanahan TAG, Fuller GW, Sheldon T, Turton E, Quilty FMA, Marincowitz C. External validation of the Dutch prediction model for prehospital triage of trauma patients in South West region of England, United Kingdom. Injury 2021; 52:1108-1116. [PMID: 33581872 DOI: 10.1016/j.injury.2021.01.039] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 01/12/2021] [Accepted: 01/22/2021] [Indexed: 02/02/2023]
Abstract
IMPORTANCE This paper investigates the use of a major trauma prediction model in the UK setting. We demonstrate that application of this model could reduce the number of patients with major trauma being incorrectly sent to non-specialist hospitals. However, more research is needed to reduce over-triage and unnecessary transfer to Major Trauma Centres. OBJECTIVE To externally validate the Dutch prediction model for identifying major trauma in a large unselected prehospital population of injured patients in England. DESIGN External validation using a retrospective cohort of injured patients who ambulance crews transported to hospitals. SETTING South West region of England. PARTICIPANTS All patients ≥16 years with a suspected injury and transported by ambulance in the year from February 1, 2017. EXCLUSION CRITERIA 1) Patients aged ≤15 years; 2) Non-ambulance attendance at hospital with injuries; 3) Death at the scene and; 4) Patients conveyed by helicopter. This study had a census sample of cases available to us over a one year period. INTERVENTIONS OR EXPOSURES Tested the accuracy of the prediction model in terms of discrimination, calibration, clinical usefulness, sensitivity and specificity and under- and over triage rates compared to usual triage practices in the South West region. MAIN OUTCOME MEASURE Major trauma defined as an Injury Severity Score>15. RESULTS A total of 68799 adult patients were included in the external validation cohort. The median age of patients was 72 (i.q.r. 46-84); 55.5% were female; and 524 (0.8%) had an Injury Severity Score>15. The model achieved good discrimination with a C-Statistic 0.75 (95% CI, 0.73 - 0.78). The maximal specificity of 50% and sensitivity of 83% suggests the model could improve undertriage rates at the expense of increased overtriage rates compared with routine trauma triage methods used in the South West, England. CONCLUSIONS AND RELEVANCE The Dutch prediction model for identifying major trauma could lower the undertriage rate to 17%, however it would increase the overtriage rate to 50% in this United Kingdom cohort. Further prospective research is needed to determine whether the model can be practically implemented by paramedics and is cost-effective.
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Affiliation(s)
- Thomas A G Shanahan
- University of Manchester, Faculty of Biology, Medicine and Health, School of Medical Sciences, Division of Cardiovascular Sciences, Oxford Road, Manchester, M13 9PL.
| | - Gordon Ward Fuller
- Centre for Urgent and Emergency Care Research, School of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
| | - Trevor Sheldon
- Institute of Population Health Sciences, Barts and the London School of Medicine and Dentistry, Queen Mary University of London.
| | - Emily Turton
- School of Health and Related Research (ScHARR), The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA.
| | | | - Carl Marincowitz
- Centre for Urgent and Emergency Care Research, School of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
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Peek-Asa C, Coman MA, Zorn A, Chikhladze N, Cebanu S, Tadevosyan A, Hamann CJ. Association of traumatic brain injury severity and time to definitive care in three low-middle-income European countries. Inj Prev 2021; 28:54-60. [PMID: 33910969 DOI: 10.1136/injuryprev-2020-044049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 03/23/2021] [Accepted: 03/29/2021] [Indexed: 01/11/2023]
Abstract
BACKGROUND Low-middle-income countries experience among the highest rates of traumatic brain injury in the world. Much of this burden may be preventable with faster intervention, including reducing the time to definitive care. This study examines the relationship between traumatic brain injury severity and time to definitive care in major trauma hospitals in three low-middle-income countries. METHODS A prospective traumatic brain injury registry was implemented in six trauma hospitals in Armenia, Georgia and the Republic of Moldova for 6 months in 2019. Brain injury severity was measured using the Glasgow Coma Scale (GCS) at admission. Time to definitive care was the time from injury until arrival at the hospital. Cox proportionate hazards models predicted time to care by severity, controlling for age, sex, mechanism, mode of transportation, location of injury and country. RESULTS Among 1135 patients, 749 (66.0%) were paediatric and 386 (34.0%) were adults. Falls and road traffic were the most common mechanisms. A higher proportion of adult (23.6%) than paediatric (5.4%) patients had GCS scores indicating moderate (GCS 9-11) or severe injury (GCS 0-8) (p<0.001). Less severe injury was associated with shorter times to care, while more severe injury was associated with longer times to care (HR=1.05, 95% CI 1.01 to 1.09). Age interacted with time to care, with paediatric cases receiving faster care. CONCLUSIONS Implementation of standard triage and transport protocols may reduce mortality and improve outcomes from traumatic brain injury, and trauma systems should focus on the most severe injuries.
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Affiliation(s)
- Corinne Peek-Asa
- Occupational and Environmental Health, University of Iowa, Iowa City, Iowa, USA
| | - Madalina Adina Coman
- Public Health, Babes-Bolyai University Faculty of Political Administrative and Communication Sciences, Cluj-Napoca, Cluj, Romania
| | - Alison Zorn
- Biostatistics, University of Iowa, Iowa City, Iowa, USA
| | - Nino Chikhladze
- Public Health, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia
| | - Serghei Cebanu
- Department of Hygiene, Moldova State University, Chisinau, Moldova (the Republic of)
| | - Artashes Tadevosyan
- Department of Public Health and Healthcare Organization, Yerevan State Medical University, Yerevan, Armenia
| | - Cara J Hamann
- Occupational and Environmental Health, University of Iowa, Iowa City, Iowa, USA
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Kirschenbaum A. Reducing patient surge: community based social networks as first responders. NATURAL HAZARDS (DORDRECHT, NETHERLANDS) 2021; 108:163-175. [PMID: 33776208 PMCID: PMC7985742 DOI: 10.1007/s11069-021-04674-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 03/02/2021] [Indexed: 06/12/2023]
Abstract
A major challenge for health services worldwide is in providing adequate medical care during mass disasters. The ongoing COVID-19 pandemic highlights this difficulty. Patient surge, a consequence of most types of disasters that contribute to trauma experiences, is a primary factor in disrupting such care as it is composed of worried well persons and those experiencing psychosocial trauma that can severely disrupt and overwhelm effective acute hospital based health care. We review the literature and propose a potential solution framework to reduce such a surge that relies on exploiting community social networks as first responders. We utilize and integrate literature based evidence on patient surge, community disaster behaviors and community based informal social networks to examine reasons for patient surge to hospitals. We then propose that leveraging community based social networks as a potent deterrent for non-critically injured, especially those who have experienced psychosocial trauma or the worried well, from seeking hospital care during ongoing disasters. By emphasizing the social capital inherent in community based social networks, this perspective posits an alternative cost-effective means of reducing patient surge.
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Dijkink S, van Zwet EW, Krijnen P, Leenen LPH, Bloemers FW, Edwards MJR, Hartog DD, Leenhouts PA, Poeze M, Spanjersberg WR, Wendt KW, De Wit RJ, Van Zuthpen SWAM, Schipper IB. The impact of regionalized trauma care on the distribution of severely injured patients in the Netherlands. Eur J Trauma Emerg Surg 2021; 48:1035-1043. [PMID: 33712892 PMCID: PMC9001217 DOI: 10.1007/s00068-021-01615-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 02/05/2021] [Indexed: 11/18/2022]
Abstract
Background Twenty years ago, an inclusive trauma system was implemented in the Netherlands. The goal of this study was to evaluate the impact of structured trauma care on the concentration of severely injured patients over time. Methods All severely injured patients (Injury Severity Score [ISS] ≥ 16) documented in the Dutch Trauma Registry (DTR) in the calendar period 2008–2018 were included for analysis. We compared severely injured patients, with and without severe neurotrauma, directly brought to trauma centers (TC) and non-trauma centers (NTC). The proportion of patients being directly transported to a trauma center was determined, as was the total Abbreviated Injury Score (AIS), and ISS. Results The documented number of severely injured patients increased from 2350 in 2008 to 4694 in 2018. During this period, on average, 70% of these patients were directly admitted to a TC (range 63–74%). Patients without severe neurotrauma had a lower chance of being brought to a TC compared to those with severe neurotrauma. Patients directly presented to a TC were more severely injured, reflected by a higher total AIS and ISS, than those directly transported to a NTC. Conclusion Since the introduction of a well-organized trauma system in the Netherlands, trauma care has become progressively centralized, with more severely injured patients being directly presented to a TC. However, still 30% of these patients is initially brought to a NTC. Future research should focus on improving pre-hospital triage to facilitate swift transfer of the right patient to the right hospital.
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Affiliation(s)
- Suzan Dijkink
- Department of Trauma Surgery, Leiden University Medical Center, Post zone K6-R, P.O. Box 9600, 2300 RC, Leiden, The Netherlands.
| | - Erik W van Zwet
- Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
| | - Pieta Krijnen
- Department of Trauma Surgery, Leiden University Medical Center, Post zone K6-R, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Luke P H Leenen
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Frank W Bloemers
- Department of Surgery, VU University Medical Center, Amsterdam, The Netherlands
| | - Michael J R Edwards
- Department of Trauma Surgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dennis Den Hartog
- Trauma Research Unit, Department of Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Peter A Leenhouts
- Department of Surgery, Academic Medical Center, Amsterdam, The Netherlands
| | - Martijn Poeze
- Department of Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Klaus W Wendt
- Department of Trauma Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Ralph J De Wit
- Department of Trauma Surgery, Medisch Spectrum Twente, Enschede, The Netherlands
| | | | - Inger B Schipper
- Department of Trauma Surgery, Leiden University Medical Center, Post zone K6-R, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
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Real-time breath recognition by movies from a small drone landing on victim's bodies. Sci Rep 2021; 11:5042. [PMID: 33658612 PMCID: PMC7930045 DOI: 10.1038/s41598-021-84575-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 02/15/2021] [Indexed: 11/08/2022] Open
Abstract
In local and global disaster scenes, rapid recognition of victims' breathing is vital. It is unclear whether the footage transmitted from small drones can enable medical providers to detect breathing. This study investigated the ability of small drones to evaluate breathing correctly after landing on victims' bodies and hovering over them. We enrolled 46 medical workers in this prospective, randomized, crossover study. The participants were provided with envelopes, from which they were asked to pull four notes sequentially and follow the written instructions ("breathing" and "no breathing"). After they lied on the ground in the supine position, a drone was landed on their abdomen, subsequently hovering over them. Two evaluators were asked to determine whether the participant had followed the "breathing" or "no breathing" instruction based on the real-time footage transmitted from the drone camera. The same experiment was performed while the participant was in the prone position. If both evaluators were able to determine the participant's breathing status correctly, the results were tagged as "correct." All experiments were successfully performed. Breathing was correctly determined in all 46 participants (100%) when the drone was landed on the abdomen and in 19 participants when the drone hovered over them while they were in the supine position (p < 0.01). In the prone position, breathing was correctly determined in 44 participants when the drone was landed on the abdomen and in 10 participants when it was kept hovering over them (p < 0.01). Notably, breathing status was misinterpreted as "no breathing" in 8 out of 27 (29.6%) participants lying in the supine position and 13 out of 36 (36.1%) participants lying in the prone position when the drone was kept hovering over them. The landing points seemed wider laterally when the participants were in the supine position than when they were in the prone position. Breathing status was more reliably determined when a small drone was landed on an individual's body than when it hovered over them.
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Fuller G, Pandor A, Essat M, Sabir L, Buckley-Woods H, Chatha H, Holt C, Keating S, Turner J. Diagnostic accuracy of prehospital triage tools for identifying major trauma in elderly injured patients: A systematic review. J Trauma Acute Care Surg 2021; 90:403-412. [PMID: 33502151 DOI: 10.1097/ta.0000000000003039] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Older adults with major trauma are frequently undertriaged, increasing the risk of preventable morbidity and mortality. The aim of this systematic review was to evaluate the diagnostic performance of prehospital triage tools to identify suspected elderly trauma patients in need of specialized trauma care. METHODS Several electronic databases (including MEDLINE, EMBASE, and the Cochrane Library) were searched from inception to February 2019. Prospective or retrospective diagnostic studies were eligible if they examined prehospital triage tools as index tests (either scored theoretically using observed patient variables or evaluated according to actual paramedic transport decisions) compared with a reference standard for major trauma in elderly adults who require transport by paramedics following injury. Selection of studies, data extraction, and risk of bias assessments using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool were undertaken independently by at least two reviewers. Narrative synthesis was used to summarize the findings. RESULTS Fifteen studies met the inclusion criteria, with 11 studies examining theoretical accuracy, three evaluating real-life transport decisions, and one assessing both (of 21 individual index tests). Estimates for sensitivity and specificity were highly variable with sensitivity estimates ranging from 19.8% to 95.5% and 57.7% to 83.3% for theoretical accuracy and real life triage performance, respectively. Specificity results were similarly diverse ranging from 17.0% to 93.1% for theoretical accuracy and 46.3% to 78.9% for actual paramedic decisions. Most studies had unclear or high risk of bias and applicability concerns. There were no obvious differences between different triage tools, and findings did not appear to vary systematically with major trauma prevalence, age, alternative reference standards, study designs, or setting. CONCLUSION Existing prehospital triage tools may not accurately identify elderly patients with serious injury. Future work should focus on more relevant reference standards, establishing the best trade-off between undertriage and overtriage, optimizing the role prehospital clinician judgment, and further developing geriatric specific triage variables and thresholds. LEVEL OF EVIDENCE Systematic review, level III.
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Affiliation(s)
- Gordon Fuller
- From the School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, South Yorkshire, United Kingdom
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Park SJ, Lee MJ, Kim C, Jung H, Kim SH, Nho W, Seo KS, Park J, Ryoo HW, Ahn JY, Moon S, Cho JW, Son SA. The impact of age and receipt antihypertensives to systolic blood pressure and shock index at injury scene and in the emergency department to predict massive transfusion in trauma patients. Scand J Trauma Resusc Emerg Med 2021; 29:26. [PMID: 33516239 PMCID: PMC7847168 DOI: 10.1186/s13049-021-00840-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 01/18/2021] [Indexed: 11/14/2022] Open
Abstract
Background Systolic blood pressure (SBP) and shock index (SI) are accurate indicators of hemodynamic instability and the need for transfusion in trauma patients. We aimed to determine whether the utility and cutoff point for SBP and SI are affected by age and antihypertensives. Methods This was a retrospective observational study of a level 1 trauma center between January 2017 and December 2018. We analyzed the utility and cutoff points of SBP and SI for predicting massive transfusion (MT) and 30-day mortality according to patients’ age and whether they were taking antihypertensives. A multivariable logistic regression analysis was conducted to estimate the association of age and antihypertensives on primary and secondary outcomes. Results We analyzed 4681 trauma cases. There were 1949 patients aged 65 years or older (41.6%), and 1375 hypertensive patients (29.4%). MT was given to 137 patients (2.9%). The 30-day mortality rate was 6.3% (n = 294). In geriatric trauma patients taking antihypertensives, a prehospital SBP less than 110 mmHg was the cutoff value for predicting MT in multivariate logistic regression analyses; packed red blood cell transfusion volume decreased abruptly based on prehospital SBP of 110 mmHg. Emergency Department SI greater than 1.0 was the cutoff value for predicting MT in patients who were older than 65 years and were not taking antihypertensives. Conclusions The triage of trauma patients is based on the identification of clinical features readily identifiable by first responders. However, age and medications may also affect the accurate evaluation. In initial trauma management, we must apply SBP and SI differently depending on age, whether a patient is taking antihypertensives, and the time at which the indicators are measured. Supplementary Information The online version contains supplementary material available at 10.1186/s13049-021-00840-2.
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Affiliation(s)
- Se Jin Park
- Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Mi Jin Lee
- Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
| | - Changho Kim
- Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Haewon Jung
- Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Seong Hun Kim
- Department of Emergency Medicine, Gumi CHA Medical Center, CHA University, Gumi, Republic of Korea
| | - Wooyoung Nho
- Department of Emergency Medicine, Gumi CHA Medical Center, CHA University, Gumi, Republic of Korea
| | - Kang Suk Seo
- Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jungbae Park
- Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Hyun Wook Ryoo
- Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jae Yun Ahn
- Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Sungbae Moon
- Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jae Wan Cho
- Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Shin-Ah Son
- Department of Thoracic and Cardiovascular Surgery, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
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Ageron FX, Porteaud J, Evain JN, Millet A, Greze J, Vallot C, Levrat A, Mortamet G, Bouzat P. Effect of under triage on early mortality after major pediatric trauma: a registry-based propensity score matching analysis. World J Emerg Surg 2021; 16:1. [PMID: 33413465 PMCID: PMC7791780 DOI: 10.1186/s13017-020-00345-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 12/10/2020] [Indexed: 11/29/2022] Open
Abstract
Background Little is known about the effect of under triage on early mortality in trauma in a pediatric population. Our objective is to describe the effect of under triage on 24-h mortality after major pediatric trauma in a regional trauma system. Methods This cohort study was conducted from January 2009 to December 2017. Data were obtained from the registry of the Northern French Alps Trauma System. The network guidelines triage pediatric trauma patients according to an algorithm shared with adult patients. Under triage was defined by the number of pediatric trauma patients that required specialized trauma care transported to a non-level I pediatric trauma center on the total number of injured patients with critical resource use. The effect of under triage on 24-h mortality was assessed with inverse probability treatment weighting (IPTW) and a propensity score (Ps) matching analysis. Results A total of 1143 pediatric patients were included (mean [SD], age 10 [5] years), mainly after a blunt trauma (1130 [99%]). Of the children, 402 (35%) had an ISS higher than 15 and 547 (48%) required specialized trauma care. Nineteen (1.7%) patients died within 24 h. Under triage rate was 33% based on the need of specialized trauma care. Under triage of children requiring specialized trauma care increased the risk of death in IPTW (risk difference 6.0 [95% CI 1.3–10.7]) and Ps matching analyses (risk difference 3.1 [95% CI 0.8–5.4]). Conclusions In a regional inclusive trauma system, under triage increased the risk of early death after pediatric major trauma.
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Affiliation(s)
- François-Xavier Ageron
- RENAU Northern French Alps Emergency Network, Public Health Department, Annecy Hospital, F-74000, Annecy, France
| | - Jordan Porteaud
- Grenoble Alps Trauma Center, Department of Anesthesiology and Intensive Care Medicine, Grenoble University Hospital, F-38000, Grenoble, France
| | - Jean-Noël Evain
- Grenoble Alps Trauma Center, Department of Anesthesiology and Intensive Care Medicine, Grenoble University Hospital, F-38000, Grenoble, France
| | - Anne Millet
- Department of Pediatric Care, Pediatric Intensive Care Unit, Grenoble University Hospital, F-38000, Grenoble, France
| | - Jules Greze
- Grenoble Alps Trauma Center, Department of Anesthesiology and Intensive Care Medicine, Grenoble University Hospital, F-38000, Grenoble, France
| | - Cécile Vallot
- RENAU Northern French Alps Emergency Network, Public Health Department, Annecy Hospital, F-74000, Annecy, France
| | - Albrice Levrat
- Department of Intensive Care, Annecy Hospital, F-74000, Annecy, France
| | - Guillaume Mortamet
- Department of Pediatric Care, Pediatric Intensive Care Unit, Grenoble University Hospital, F-38000, Grenoble, France.,Grenoble Alps University, F-38000, Grenoble, France
| | - Pierre Bouzat
- Grenoble Alps Trauma Center, Department of Anesthesiology and Intensive Care Medicine, Grenoble University Hospital, F-38000, Grenoble, France. .,Grenoble Alps University, F-38000, Grenoble, France. .,Grenoble Alpes Trauma Centre, Pôle d'Anesthésie-Réanimation, Hôpital Albert Michallon, BP 217, F-38043, Grenoble, France.
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Warwick JW, Davenport DL, Bettis A, Bernard AC. Association of Prehospital Step 1 Vital Sign Criteria and Vital Sign Decline with Increased Emergency Department and Hospital Death. J Am Coll Surg 2020; 232:572-579. [PMID: 33348016 DOI: 10.1016/j.jamcollsurg.2020.12.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 12/01/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND This study analyzed data from the 2017 American College of Surgeons National Trauma Data Bank to examine the effects of pre-hospital Field Triage Decision Scheme Step 1 vital sign criteria (S1C) and vital sign decline on subsequent emergency department (ED) and hospital death in emergency medical services (EMS) transported trauma victims. STUDY DESIGN Patient and injury characteristics, transport time, and ED and hospital disposition were collected. S1C (respiratory rate [RR]<10, RR>29 breaths/min, systolic blood pressure [SBP]<90 mmHg, Glasgow Coma Scale [GCS]<14) were recorded at the injury scene and hospital arrival. Decline was defined as a change ≥ 1 standard deviation (SD) into or within an S1C range. S1C and decline were analyzed relative to ED and hospital death using logistic regression. RESULTS Of 333,213 included patients, 54,849 (16.5%) met Step 1 criteria at the scene, and 21,566 (6.9%) declined en route. The ED death rate was 0.4% (n = 1,188), and the hospital death/hospice rate was 4.0% (11,624 of 287,675). Patients who met S1C at the scene or who declined were more likely to require longer hospital lengths of stay, ICU admission, and surgical intervention. S1C and decline patients had higher odds of death in both the ED (S1C odds ratio [OR] 15.1, decline OR 2.4, p values < 0.001) and hospital (S1C OR 4.8, decline OR 2.0, p values < 0.001) after adjusting for patient demographics, transport time and mode, injury severity, and injury mechanism. Each S1C and decline measure was independently predictive of death. CONCLUSIONS This study quantifies the mortality risks associated with individual S1C and validates their use as an indicator for injury severity and pre-hospital triage tool.
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Affiliation(s)
- James W Warwick
- University of Kentucky College of Medicine, University of Kentucky College of Medicine, Lexington, KY
| | - Daniel L Davenport
- Division of Healthcare Outcomes and Optimal Patient Services, Department of Surgery, University of Kentucky College of Medicine, Lexington, KY
| | - Amber Bettis
- Division of Healthcare Outcomes and Optimal Patient Services, Department of Surgery, University of Kentucky College of Medicine, Lexington, KY
| | - Andrew C Bernard
- University of Kentucky and the Division of Acute Care Surgery, Trauma, and Critical Care, Department of Surgery, University of Kentucky College of Medicine, Lexington, KY.
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