title: [The Logistic regression identification of risk factors for 4884 cases of mild head injury (MHI) with abnormal computerized tomography (CT)].
abstract: OBJECTIVE
  To identify the risk factors in patients with MHI for the evaluation of the severity of the damage.
  
  
  METHODS
  The clinical data and brain CT findings from 4884 MHI patients were analyzed retrospectively using non-conditional Logistic regression for their relation to gender, age (≥65 years, <65 years), loss of consciousness, retrograde amnesia, vomiting, cerebrospinal fluid- otorrhea/rhinorrhea, epilepsy, scalp trauma, positive neurological signs and glasgow coma scale (GCS).
  
  
  RESULTS
  The odds ratio (OR), 95% confidence interval (95% CI ), and confidence coefficient ( P ) for all the factors were demonstrated as follows, respectively, gender : (0.703, 0.53-0.94, 0.02); age ≥ 65 years: (3.74, 2.38-5.88, 0.00); loss of consciousness: (18.17, 12.66-26.07, 0.00); retrograde amnesia : (4.19, 2.17-8.07, 0.00); vomiting: (27.01, 18.45-39.55, 0.00); cerebrospinal fluid-otorrhea/ rhinorrhea: (63.80, 33.01-123.30, 0.00); epilepsy: (1.61, 0.30-8.58, 0.58); scalp trauma : (0.95, 0.75-1.22, 0.69); positive neurological signs: (9.87, 2.03-47.95, 0.05); and GCS score: (1.10, 0.85-1.42, 0.47). The factor male, age≥65 years, loss of consciousness, retrograde forgetfulness, vomiting, cerebrospinal fluid-otorrhea/rhinorrhea, and positive neurological signs were found to be risk factors for MHI.
  
  
  CONCLUSIONS
  The risk factors as listed above may serve as indexes in the severity evaluation for MHI, and the design of treatment-plan for the patients.
authors: Department of Emergence, Hongxing Hospital, Beijing, China. zpczjzz@sina.com
authors: Peng-chuan
authors: PC
authors: Zhang
authors: Sen
authors: S
authors: Wang
authors: Jing
authors: J
authors: Zhang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D006259:Craniocerebral Trauma / Q000000981:diagnostic imaging / Q000453:epidemiology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D012307:Risk Factors; D014057:Tomography, X-Ray Computed; D055815:Young Adult