Comparing Predictive Utility of Head Computed Tomography Scan-Based Scoring Systems for Traumatic Brain Injury: A Retrospective Study

被引:0
|
作者
Khormali, Moein [1 ]
Soleimanipour, Saeed [2 ]
Baigi, Vali [1 ,3 ]
Ehteram, Hassan [4 ]
Talari, Hamidreza [5 ,6 ]
Naghdi, Khatereh [1 ]
Ghaemi, Omid [7 ,8 ]
Sharif-Alhoseini, Mahdi [1 ]
机构
[1] Univ Tehran Med Sci, Sina Trauma & Surg Res Ctr, Tehran 1416634793, Iran
[2] Univ Tehran Med Sci, Sina Hosp, Dept Radiol, Tehran 1416634793, Iran
[3] Univ Tehran Med Sci, Sch Publ Hlth, Dept Epidemiol & Biostat, Tehran 1416634793, Iran
[4] Kashan Univ Med Sci, Sch Med, Dept Pathol, Kashan 8715988141, Iran
[5] Kashan Univ Med Sci, Trauma Res Ctr, Kashan 8715988141, Iran
[6] Kashan Univ Med Sci, Dept Radiol, Kashan 8715988141, Iran
[7] Univ Tehran Med Sci, Imam Khomeini Hosp, Dept Radiol, Tehran 1416634793, Iran
[8] Univ Tehran Med Sci, Shariati Hosp, Dept Radiol, Tehran 1416634793, Iran
关键词
traumatic brain injuries; diagnostic imaging; computed tomography scan; trauma severity indices; prognosis; PROGNOSTIC-FACTORS; CLASSIFICATION; MARSHALL;
D O I
10.3390/brainsci13081145
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
This study compared the predictive utility of Marshall, Rotterdam, Stockholm, Helsinki, and NeuroImaging Radiological Interpretation System (NIRIS) scorings based on early non-contrast brain computed tomography (CT) scans in patients with traumatic brain injury (TBI). The area under a receiver operating characteristic curve (AUROC) was used to determine the predictive utility of scoring systems. Subgroup analyses were performed among patients with head AIS scores > 1. A total of 996 patients were included, of whom 786 (78.9%) were males. In-hospital mortality, ICU admission, neurosurgical intervention, and prolonged total hospital length of stay (THLOS) were recorded for 27 (2.7%), 207 (20.8%), 82 (8.2%), and 205 (20.6%) patients, respectively. For predicting in-hospital mortality, all scoring systems had AUROC point estimates above 0.9 and 0.75 among all included patients and patients with head AIS > 1, respectively, without any significant differences. The Marshall and NIRIS scoring systems had higher AUROCs for predicting ICU admission and neurosurgery than the other scoring systems. For predicting THLOS & GE; seven days, although the NIRIS and Marshall scoring systems seemed to have higher AUROC point estimates when all patients were analyzed, five scoring systems performed roughly the same in the head AIS > 1 subgroup.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Epidural hematoma in computed tomography scan-based scoring systems of traumatic brain injury
    Piri, Seyed Mohammad
    Khormali, Moein
    Fakharian, Esmaeil
    Sharif-Alhoseini, Mahdi
    ARCHIVES OF TRAUMA RESEARCH, 2023, 12 (02) : 61 - 62
  • [2] Utility of repeat head computed tomography in children with a traumatic brain injury
    Wang, MC
    Vavilala, MS
    Choudhry, S
    Layman, S
    Muangman, S
    Jarvik, JG
    Hollingworth, W
    JOURNAL OF NEUROSURGERY, 2006, 104 (04) : A660 - A661
  • [3] Head Computed Tomography Scan in Isolated Traumatic Brain Injury in a Low-Income Country
    Kabore, Armel Flavien
    Ouedraogo, Aziz
    Ki, Kelan Bertille
    Traore, Salah Seif Idriss
    Traore, Ibrahim Alain
    Bougouma, Cheik Tidiane Hafiz
    Arnaudovski, Darko
    Diallo, Ousseini
    Zabsonre, Sylvain
    Ouedraogo, Nazinigouba
    Augustin, Pascal
    WORLD NEUROSURGERY, 2017, 107 : 382 - 388
  • [4] Accuracy of head computed tomography scoring systems in predicting outcomes for patients with moderate to severe traumatic brain injury: A ProTECT III ancillary study
    Wu, Haijun
    Wright, David W.
    Allen, Jason W.
    Ding, Victoria
    Boothroyd, Derek
    Glushakova, Olena Y.
    Hayes, Ron
    Jiang, Bin
    Wintermark, Max
    NEURORADIOLOGY JOURNAL, 2023, 36 (01): : 38 - 48
  • [5] Neutrophil to lymphocyte ratio as a predictive biomarker for computed tomography scan use in mild traumatic brain injury
    Alexiou, George A.
    Lianos, Georgios D.
    Tzima, Aggeliki
    Sotiropoulos, Athanasios
    Nasios, Anastasios
    Metaxas, Dimitris
    Zigouris, Andreas
    Zika, Jolanda R. N.
    Mitsis, Michail
    Voulgaris, Spyridon
    BIOMARKERS IN MEDICINE, 2020, 14 (12) : 1085 - 1090
  • [6] Computed Tomography of the Head in Children with Mild Traumatic Brain Injury
    Mihindu, Esther
    Bhullar, Indermeet
    Tepas, Joseph
    Kerwin, Andrew
    AMERICAN SURGEON, 2014, 80 (09) : 841 - 843
  • [7] Early death prediction in children with traumatic brain injury using computed tomography scoring systems
    Hussein, Nimo Mohamed
    Zhu, Pingyi
    Meng, Shuang
    Wang, Yu
    Zhao, Pinghui
    Li, Lan
    Shu, Kun
    Zou, Pinfa
    Lin, Lulu
    Shen, Liting
    Xia, Yikai
    Tang, Jing
    Yan, Zhihan
    JOURNAL OF CLINICAL NEUROSCIENCE, 2022, 95 : 164 - 171
  • [8] Morphometric study of the facial skeleton in Jordanians: A computed tomography scan-based study
    Mustafa, Ayman
    Abusamra, Heba
    Kanaan, Nadeem
    Alsalem, Mohammad
    Allouh, Mohammed
    Kalbouneh, Heba
    FORENSIC SCIENCE INTERNATIONAL, 2019, 302
  • [9] Adherence to Head Computed Tomography Guidelines for Mild Traumatic Brain Injury
    Jones, Landon A.
    Morley, Eric J.
    Grant, William D.
    Wojcik, Susan M.
    Paolo, William F.
    WESTERN JOURNAL OF EMERGENCY MEDICINE, 2014, 15 (04) : 459 - 464
  • [10] Tranexamic acid is not inferior to placebo with respect to adverse events in suspected traumatic brain injury patients not in shock with a normal head computed tomography scan: A retrospective study of a randomized trial
    Harmer, Jordan W.
    Dewey, Elizabeth N.
    Meier, Eric N.
    Rowell, Susan E.
    Schreiber, Martin A.
    JOURNAL OF TRAUMA AND ACUTE CARE SURGERY, 2022, 93 (01): : 98 - 105