Article Data

  • Views 1415
  • Dowloads 169

Original Research

Open Access

New index to predict the possibility of hemostatic angiographic embolization in trauma patients assessed by emergency medical services

  • Ki Hong Kim1
  • Joo Jeong2,*,
  • Kyoung Jun Song3
  • Sang Do Shin1
  • Young Sun Ro1
  • Wen-Chu Chiang4
  • Sabariah Faizah Jamaluddin5
  • Nurul Azlean Norzan6

1Department of Emergency Medicine, Seoul National University College of Medicine and Hospital, Laboratory of Emergency Medical Services, Seoul National University Hospital Biomedical Research Institute, 03080 Seoul, Republic of Korea

2Department of Emergency Medicine, Seoul National University Bundang Hospital, Laboratory of Emergency Medical Services, Seoul National University Hospital Biomedical Research Institute, 13620 Seoul, Republic of Korea

3Department of Emergency Medicine, Seoul National University Boramae Medical Center, Laboratory of Emergency Medical Services, Seoul National University Hospital Biomedical Research Institute, 07061 Seoul, Republic of Korea

4Department of Emergency Medicine, National Taiwan University Hospital, Department of Emergency Medicine, National Taiwan University Hospital Yun-Lin Branch, 640203 Douliu, Taiwan

5Department of Emergency Medicine, Universiti Teknologi MARA, 40450 Sungai Buloh, Selangor, Malaysia

6Department of Emergency Medicine, Sungai Buloh Hospital, 47000 Sungai Buloh, Selangor, Malaysia

DOI: 10.22514/sv.2023.056 Vol.19,Issue 4,July 2023 pp.135-143

Submitted: 23 May 2022 Accepted: 11 August 2022

Published: 08 July 2023

*Corresponding Author(s): Joo Jeong E-mail: yukijeje@gmail.com

Abstract

Trauma is an important public health issue and a leading cause of mortality worldwide. We developed a concise index that predicts the possibility of hemostatic angiographic embolization in trauma patients assessed by emergency medical services (EMS). Two Asia-Pacific countries were involved in this study: 13 emergency departments (EDs) in South Korea and 15 EDs in Malaysia. Patients with trauma transported by EMS between January 2015 and December 2018 were enrolled in this study. Hemostatic angiographic embolization was defined as the presence of at least one procedure performed within 24 h of the ED visit. A simple index was developed with key components after principal component analysis: scene shock index (SI) + ED SI-prehospital alertness. Prediction performance was evaluated by the area under the receiver operating characteristic curve (AUC) and was compared to the revised trauma score (RTS), age-adjusted shock index (AGE-SI), and surgical intervention in victims of motor vehicle crashes (SIM) score. A total of 28,772 patients were included in the final analysis. Overall, 657 patients (2.3%) underwent hemostatic angiographic embolization. Scene SI and ED SI were significantly different: median (q1–q3) was 0.63 (0.75–1.00), 0.69 (0.59–0.85) in patients who underwent hemostatic angiographic embolization and 0.55 (0.64–0.73), 0.61 (0.51–0.72) in patients who did not undergo hemostatic angiographic embolization. Prehospital alertness was observed in 192 (29.2%) and 19,978 (71.1%) patients with and without hemostatic angiographic embolization, respectively. Greater predictive performance for hemostatic angiographic embolization was observed (AUC: 0.792 for new index, 0.672 for SIM score, 0.562 for RTS, and 0.507 for AGE-SI). A new index showed higher predictive performance for hemostatic angiographic embolization in adult EMS-transported trauma patients compared to the SIM score, RTS, and AGE-SI.


Keywords

Trauma; Emergency medical services; Therapeutic embolization; Clinical decision support


Cite and Share

Ki Hong Kim,Joo Jeong,Kyoung Jun Song,Sang Do Shin,Young Sun Ro,Wen-Chu Chiang,Sabariah Faizah Jamaluddin,Nurul Azlean Norzan. New index to predict the possibility of hemostatic angiographic embolization in trauma patients assessed by emergency medical services. Signa Vitae. 2023. 19(4);135-143.

References

[1] Karimkhani C, Trikha R, Aksut B, Jones T, Boyers LN, Schlichte M, et al. Identifying gaps for research prioritisation: global burden of external causes of injury as reflected in the Cochrane Database of Systematic Reviews. Injury. 2016; 47: 1151–1157.

[2] Haagsma JA, Graetz N, Bolliger I, Naghavi M, Higashi H, Mullany EC, et al. The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013. Injury Prevention. 2016; 22: 3–18.

[3] Cameron PA, Gabbe BJ, Cooper DJ, Walker T, Judson R, McNeil J. A statewide system of trauma care in Victoria: effect on patient survival. The Medical Journal of Australia. 2008; 189: 546–550.

[4] Twijnstra MJ, Moons KGM, Simmermacher RKJ, Leenen LPH. Regional trauma system reduces mortality and changes admission rates: a before and after study. Annals of Surgery. 2010; 251: 339–343.

[5] Kuimi BLB, Moore L, Cissé B, Gagné M, Lavoie A, Bourgeois G, et al. Influence of access to an integrated trauma system on in-hospital mortality and length of stay. Injury. 2015; 46: 1257–1261.

[6] Schechtman D, He JC, Zosa BM, Allen D, Claridge JA. Trauma system regionalization improves mortality in patients requiring trauma laparotomy. The Journal of Trauma and Acute Care Surgery. 2017; 82: 58–64.

[7] Chang DC, Bass RR, Cornwell EE, Mackenzie EJ. Undertriage of elderly trauma patients to state-designated trauma centers. Archives of Surgery. 2008; 143: 776–81.

[8] Lerner EB, Moscati RM. The golden hour: scientific fact or medical “urban legend”? Academic Emergency Medicine. 2001; 8: 758–760.

[9] Kidher E, Krasopoulos G, Coats T, Charitou A, Magee P, Uppal R, et al. The effect of prehospital time related variables on mortality following severe thoracic trauma. Injury. 2012; 43: 1386–1392.

[10] Arleth T, Rudolph SS, Svane C, Rasmussen LS. Time from injury to arrival at the trauma centre in patients undergoing interhospital transfer. Danish Medical Journal. 2020; 67: A03200138.

[11] Ter Avest E, Taylor S, Wilson M, Lyon RL. Prehospital clinical signs are a poor predictor of raised intracranial pressure following traumatic brain injury. Emergency Medicine Journal. 2021; 38: 21–26.

[12] Meyers MH, Wei TL, Cyr JM, Hunold TM, Shofer FS, Cowden CS, et al. The triage of older adults with physiologic markers of serious injury using a state-wide prehospital plan. Prehospital and Disaster Medicine. 2019; 34: 497–505.

[13] Lin B, Wong Y, Lim K, Fang J, Hsu Y, Kang S. Management of ongoing arterial haemorrhage after damage control laparotomy: Optimal timing and efficacy of transarterial embolisation. Injury. 2010; 41: 44–49.

[14] Ferrah N, Cameron P, Gabbe B, Fitzgerald M, Martin K, Beck B. Trends in the nature and management of serious abdominal trauma. World Journal of Surgery. 2019; 43: 1216–1225.

[15] Katsura M, Yamazaki S, Fukuma S, Matsushima K, Yamashiro T, Fukuhara S. Comparison between laparotomy first versus angiographic embolization first in patients with pelvic fracture and hemoperitoneum: a nationwide observational study from the Japan Trauma Data Bank. Scan-dinavian Journal of Trauma, Resuscitation and Emergency Medicine. 2013; 21: 82.

[16] Tanizaki S, Maeda S, Matano H, Sera M, Nagai H, Ishida H. Time to pelvic embolization for hemodynamically unstable pelvic fractures may affect the survival for delays up to 60 min. Injury. 2014; 45: 738–741.

[17] Clarke JR, Trooskin SZ, Doshi PJ, Greenwald L, Mode CJ. Time to laparotomy for intra-abdominal bleeding from trauma does affect survival for delays up to 90 minutes. The Journal of Trauma. 2002; 52: 420–425.

[18] Tesoriero RB, Bruns BR, Narayan M, Dubose J, Guliani SS, Brenner ML, et al. Angiographic embolization for hemorrhage following pelvic fracture: is it “time” for a paradigm shift? The Journal of Trauma and Acute Care Surgery. 2017; 82: 18–26.

[19] Birkhahn RH, Gaeta TJ, Terry D, Bove JJ, Tloczkowski J. Shock index in diagnosing early acute hypovolemia. The American Journal of Emergency Medicine. 2005; 23: 323–326.

[20] King RW, Plewa MC, Buderer NMF, Knotts FB. Shock Index as a marker for significant injury in trauma patients. Academic Emergency Medicine. 1996; 3: 1041–1045.

[21] Torabi M, Mirafzal A, Rastegari A, Sadeghkhani N. Association of triage time shock index, modified shock index, and age shock index with mortality in emergency severity index level 2 patients. The American Journal of Emergency Medicine. 2016; 34: 63–68.

[22] Kamikawa Y, Hayashi H. Predicting in-hospital mortality among non-trauma patients based on vital sign changes between prehospital and in-hospital: an observational cohort study. PLoS One. 2019; 14: e0211580.

[23] Yussof SJ, Zakaria MI, Mohamed FL, Bujang MA, Lakshmanan S, Asaari AH. Value of shock index in prognosticating the short-term outcome of death for patients presenting with severe sepsis and septic shock in the emergency department. The Medical Journal of Malaysia. 2012; 67: 406–411.

[24] Rau CS, Wu SC, Kuo SC, Pao-Jen K, Shiun-Yuan H, Chen YC, et al. Prediction of massive transfusion in trauma patients with shock index, modified shock index, and age shock index. International Journal of Environmental Research and Public Health. 2016; 13: 683.

[25] Wu SC, Rau CS, Kuo SCH, Hsu SY, Hsieh HY, Hsieh CH. Shock index increase from the field to the emergency room is associated with higher odds of massive transfusion in trauma patients with stable blood pressure: a cross-sectional analysis. PLoS One. 2019; 14: e0216153.

[26] DeMuro JP, Simmons S, Jax J, Gianelli SM. Application of the Shock Index to the prediction of need for haemostasis intervention. The American Journal of Emergency Medicine. 2013; 31: 1260–1263.

[27] Campos-Serra A, Montmany-Vioque S, Rebasa-Cladera P, Llaquet-Bayo H, Gràcia-Roman R, Colom-Gordillo A, et al. The use of the shock index as a predictor of active bleeding in trauma patients. Cirugía EspañOla. 2018; 96: 494–500.

[28] Yamamoto R, Kurihara T, Sasaki J. A novel scoring system to predict the requirement for surgical intervention in victims of motor vehicle crashes: development and validation using independent cohorts. PLoS One. 2019; 14: e0226282.

[29] Kong SY, Shin SD, Tanaka H, Kimura A, Song KJ, Shaun GE, et al. Pan-Asian Trauma Outcomes Study (PATOS): rationale and methodology of an international and multicenter trauma registry. Prehospital Emergency Care. 2018; 22: 58–83.

[30] Jung YH, Wi DH, Shin SD, Tanaka H, Shaun GE, Chiang WC, et al. Comparison of trauma systems in Asian countries: a cross-sectional study. Clinical and Experimental Emergency Medicine. 2019; 6: 321–329.

[31] Kim TH, Shin SD, Kim YJ, Kim CH, Kim JE. The scene time interval and basic life support termination of resuscitation rule in adult out-of-hospital cardiac arrest. Journal of Korean Medical Science. 2015; 30: 104–109.

[32] Hisamuddin NARN, Hamzah MS, Holliman CJ. Prehospital emergency medical services in malaysia. The Journal of Emergency Medicine. 2007; 32: 415–421.

[33] Sun KM, Song KJ, Shin SD, Tanaka H, Shaun GE, Chiang W, et al. Comparison of emergency medical services and trauma care systems among pan-asian countries: an international, multicenter, population-based survey. Prehospital Emergency Care. 2017; 21: 242–251.

[34] Boyd CR, Tolson MA, Copes WS. Evaluating trauma care: the TRISS method. trauma score and the injury severity score. The Journal of Trauma. 1987; 27: 370–378.

[35] Joseph B, Haider A, Ibraheem K, Kulvatunyou N, Tang A, Azim A, et al. Revitalizing vital sign: the role of delta shock indexs. Shock. 2016; 46: 50–54.

[36] Jolliffe IT, Cadima J. Principal component analysis: a review and recent developments. Philosophical Transactions A. 2016; 374: 20150202.

[37] Cao Y, Xu H. A new predictive scoring system based on clinical data and computed tomography features for diagnosing EGFR-mutated lung adenocarcinoma. Current Oncology. 2018; 25: e132–e138.

[38] Champion HR, Sacco WJ, Copes WS, Gann DS, Gennarelli TA, Flanagan ME. A revision of the trauma score. The Journal of Trauma. 1989; 29: 623–629.

[39] Gellerstedt M, Rawshani N, Herlitz J, Bång A, Gelang C, Andersson J, et al. Could prioritisation by emergency medicine dispatchers be improved by using computer-based decision support? A cohort of patients with chest pain. International Journal of Cardiology. 2016; 220: 734–738.

[40] Demetriades D, Chan LS, Bhasin P, Berne TV, Ramicone E, Huicochea F, et al. Relative bradycardia in patients with traumatic hypotension. The Journal of Trauma. 1998; 45: 534–539.

[41] Glance LG, Osler TM, Mukamel DB, Meredith W, Wagner J, Dick AW. TMPM–ICD9: a trauma mortality prediction model based on ICD-9-CM codes. Annals of Surgery. 2009; 249: 1032–1039.

[42] Osler T, Glance L, Buzas JS, Mukamel D, Wagner J, Dick A. A trauma mortality prediction model based on the anatomic injury scale. Annals of Surgery. 2008; 247: 1041–1048.

[43] Mansour DA, Abou Eisha HA, Asaad AE. Validation of revised trauma score in the emergency department of Kasr Al Ainy. The Egyptian Journal of Surgery. 2019; 38: 679–684.


Abstracted / indexed in

Science Citation Index Expanded (SciSearch) Created as SCI in 1964, Science Citation Index Expanded now indexes over 9,200 of the world’s most impactful journals across 178 scientific disciplines. More than 53 million records and 1.18 billion cited references date back from 1900 to present.

Journal Citation Reports/Science Edition Journal Citation Reports/Science Edition aims to evaluate a journal’s value from multiple perspectives including the journal impact factor, descriptive data about a journal’s open access content as well as contributing authors, and provide readers a transparent and publisher-neutral data & statistics information about the journal.

Chemical Abstracts Service Source Index The CAS Source Index (CASSI) Search Tool is an online resource that can quickly identify or confirm journal titles and abbreviations for publications indexed by CAS since 1907, including serial and non-serial scientific and technical publications.

Index Copernicus The Index Copernicus International (ICI) Journals database’s is an international indexation database of scientific journals. It covered international scientific journals which divided into general information, contents of individual issues, detailed bibliography (references) sections for every publication, as well as full texts of publications in the form of attached files (optional). For now, there are more than 58,000 scientific journals registered at ICI.

Geneva Foundation for Medical Education and Research The Geneva Foundation for Medical Education and Research (GFMER) is a non-profit organization established in 2002 and it works in close collaboration with the World Health Organization (WHO). The overall objectives of the Foundation are to promote and develop health education and research programs.

Scopus: CiteScore 1.0 (2022) Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

Embase Embase (often styled EMBASE for Excerpta Medica dataBASE), produced by Elsevier, is a biomedical and pharmacological database of published literature designed to support information managers and pharmacovigilance in complying with the regulatory requirements of a licensed drug.

Submission Turnaround Time

Conferences

Top