Korean J Neurotrauma.  2015 Oct;11(2):112-117. 10.13004/kjnt.2015.11.2.112.

Clinical Analysis of Delayed Surgical Epidural Hematoma

Affiliations
  • 1Department of Neurosurgery, Wonju College of Medicine, Yonsei University, Wonju, Korea. nsojw@yonsei.ac.kr

Abstract


OBJECTIVE
A small epidural hematoma (EDH) that has been diagnosed to be nonsurgical by initial brain computed tomography (CT) can increase in size and need surgical removal, resulting in a poor prognosis. However, there have been few studies, which focused delayed operated EDH. Therefore, we analyzed the clinical factors to determine the predicting factors of delayed operated EDH.
METHODS
Between January 2011 and January 2014, 90 patients, who were admitted due to EDH, were enrolled in this study. None of the patients were indicated for operation initially. Based on the presence of surgery, we classified the patients into a delayed-surgery group (DG) and a non-surgical group (NG). Additionally, we analyzed them according to the following: time interval between the trauma and the initial CT, gender, age, medical history, drinking, change of mean arterial pressure (MAP), volume of EDH and other traumatic brain lesion.
RESULTS
Among the 90 patients, the DG was 19 patients. Compared with NG, the DG revealed increased MAP, less presence of drinking, and a short time interval (DG vs. NG: +9.684 mm Hg vs. -0.428 mm Hg, 5.26% vs. 29.58%, 1.802 hours vs. 5.707 hours, respectively, p<0.05). Analyzing the time interval with receiver operating characteristic, there was 88.2% sensitivity and 68.3% specificity at the 2.05-hour cut-off value (area under the curve=0.854).
CONCLUSION
According to our results, the time interval between the trauma and the initial CT along with blood pressure change are potential predicting factors in the cases of delayed operation of EDH.

Keyword

Hematoma, epidural, cranial; Craniocerebral trauma; Tomography, X-ray computed; Neurosurgery

MeSH Terms

Arterial Pressure
Blood Pressure
Brain
Craniocerebral Trauma
Drinking
Hematoma*
Hematoma, Epidural, Cranial
Humans
Neurosurgery
Prognosis
ROC Curve
Sensitivity and Specificity
Tomography, X-Ray Computed

Figure

  • FIGURE 1 One case of delayed-surgery group. Computed tomography of 61-year-old male who visited our institution due to a pedestrian traffic accident. A: First plan of our treatment was only conservative management. B: From 3 hours from admission, the pat.

  • FIGURE 2 Expansion volume of epidural hematoma in both groups. The changes in hematomas of delayed-surgery group and non-surgical group were 33.02±31.02 mL and 2.415±6.272 mL, respectively (p=0.001).

  • FIGURE 3 Receiver operating characteristic curve with computed tomography interval time from trauma attack and presence of surgery. If we set the cut-off value as 2.08 hours, the sensitivity and specificity of this curve was 88.2% and 68.3%. ROC: receiver operating characteristic.


Cited by  1 articles

Rapid Redistribution of an Acute Traumatic Epidural Hematoma in a Patient with Invasive Skull Cancer
Hyunnyung Lee, Sun-Chul Hwang, A Leum Lee, Chan-Gyu Kim, Soo Bin Im
Korean J Neurotrauma. 2018;14(2):138-141.    doi: 10.13004/kjnt.2018.14.2.138.


Reference

1. Araujo JL, Aguiar Udo P, Todeschini AB, Saade N, Veiga JC. Epidemiological analysis of 210 cases of surgically treated traumatic extradural hematoma. Rev Col Bras Cir. 2012; 39:268–271. PMID: 22936224.
2. Bae DH, Choi KS, Yi HJ, Chun HJ, Ko Y, Bak KH. Cerebral infarction after traumatic brain injury: incidence and risk factors. Korean J Neurotrauma. 2014; 10:35–40.
Article
3. Bezircioğlu H, Erşahin Y, Demirçivi F, Yurt I, Dönertaş K, Tektaş S. Nonoperative treatment of acute extradural hematomas: analysis of 80 cases. J Trauma. 1996; 41:696–698. PMID: 8858030.
4. Bullock MR, Chesnut R, Ghajar J, Gordon D, Hartl R, Newell DW, et al. Surgical management of acute epidural hematomas. Neurosurgery. 2006; 58(3 Suppl):S7–S15. discussion Si-SivPMID: 16710967.
Article
5. Chen H, Guo Y, Chen SW, Wang G, Cao HL, Chen J, et al. Progressive epidural hematoma in patients with head trauma: incidence, outcome, and risk factors. Emerg Med Int. 2012; 2012:134905. PMID: 23320175.
Article
6. Greenspan L, McLellan BA, Greig H. Abbreviated Injury Scale and Injury Severity Score: a scoring chart. J Trauma. 1985; 25:60–64. PMID: 3965737.
7. Haselsberger K, Pucher R, Auer LM. Prognosis after acute subdural or epidural haemorrhage. Acta Neurochir (Wien). 1988; 90:111–116. PMID: 3354356.
Article
8. Heinzelmann M, Platz A, Imhof HG. Outcome after acute extradural haematoma, influence of additional injuries and neurological complications in the ICU. Injury. 1996; 27:345–349. PMID: 8763290.
Article
9. Hu TT, Yan L, Yan PF, Wang X, Yue GF. Assessment of the ABC/2 Method of Epidural Hematoma Volume Measurement as Compared to Computer-Assisted Planimetric Analysis. Biol Res Nurs. 2015; [Epub ahead of print].
Article
10. Hukkelhoven CW, Steyerberg EW, Rampen AJ, Farace E, Habbema JD, Marshall LF, et al. Patient age and outcome following severe traumatic brain injury: an analysis of 5600 patients. J Neurosurg. 2003; 99:666–673. PMID: 14567601.
Article
11. Knuckey NW, Gelbard S, Epstein MH. The management of "asymptomatic" epidural hematomas. A prospective study. J Neurosurg. 1989; 70:392–396. PMID: 2915245.
12. Lee EJ, Hung YC, Wang LC, Chung KC, Chen HH. Factors influencing the functional outcome of patients with acute epidural hematomas: analysis of 200 patients undergoing surgery. J Trauma. 1998; 45:946–952. PMID: 9820707.
13. Marino R, Gasparotti R, Pinelli L, Manzoni D, Gritti P, Mardighian D, et al. Posttraumatic cerebral infarction in patients with moderate or severe head trauma. Neurology. 2006; 67:1165–1171. PMID: 17030747.
Article
14. Murzin VE, Goriunov VN. [Study of the strength of the adherence of the dura mater to the bones of the skull]. Zh Vopr Neirokhir Im N N Burdenko. 1979; 43–47. PMID: 484154.
15. Oertel M, Kelly DF, McArthur D, Boscardin WJ, Glenn TC, Lee JH, et al. Progressive hemorrhage after head trauma: predictors and consequences of the evolving injury. J Neurosurg. 2002; 96:109–116. PMID: 11794591.
Article
16. Rivas JJ, Lobato RD, Sarabia R, Cordobés F, Cabrera A, Gomez P. Extradural hematoma: analysis of factors influencing the courses of 161 patients. Neurosurgery. 1988; 23:44–51. PMID: 3173664.
Article
17. Sullivan TP, Jarvik JG, Cohen WA. Follow-up of conservatively managed epidural hematomas: implications for timing of repeat CT. AJNR Am J Neuroradiol. 1999; 20:107–113. PMID: 9974064.
18. van den Brink WA, Zwienenberg M, Zandee SM, van der Meer L, Maas AI, Avezaat CJ. The prognostic importance of the volume of traumatic epidural and subdural haematomas revisited. Acta Neurochir (Wien). 1999; 141:509–514. PMID: 10392207.
Article
19. Xiao B, Ma MY, Duan ZX, Liu JG, Chen RP, Mao Q. Could a traumatic epidural hematoma on early computed tomography tell us about its future development? A multi-center retrospective study in China. J Neurotrauma. 2015; 32:487–494. PMID: 25050450.
Article
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