Basic & Clinical Medicine ›› 2021, Vol. 41 ›› Issue (12): 1797-1801.

• Clinical Sciences • Previous Articles     Next Articles

Predictive factors of early death in patients with craniocerebral injury

LIU Jia-wei1, ZHANG Yi2, WANG Kai1, MA Wen-juan3*   

  1. 1. the First Clinical Medical College, Shaanxi University of Chinese Medicine,Xianyang 712046;
    2. Department of Neurological Surgery, the First Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712046;
    3. Department of Rehabilitation Medicine, Xianyang Central Hospital, Xianyang 712046, China
  • Received:2020-08-18 Revised:2021-01-09 Published:2021-12-03
  • Contact: *369516852@qq.com

Abstract: Objective The predictive factors of early death in patients with craniocerebral injury (CI) were analyzed to provide a reference for clinical treatment. Methods Collected clinical data from 1 102 patients with craniocerebral injury and admitted into the Department of Neurological Surgery, First Affiliated Hospital of Shaanxi University of Chinese Medicine from January 2014 to December 2019, and analyzed the correlation of general data, injuries, and auxiliary examinations that may affect patients' early death, Using multi-factor Logistic regression analysis to influence the predictive factors of early death in patients with craniocerebral injury. Results Among them, 104 CI patients died after early rescue, accounting for 9.4% of the total number. Abnormal pupil responses (OR=4.669, P<0.05), midline shift (OR=7.898, P<0.001), brain herniation (OR=8.013, P<0.001),lower GCS score (OR=3.847, P<0.001), multiple trauma (OR=6.354, P<0.01), coagulopathy (OR=5.281, P<0.01), and abnormal blood sugar (OR=6.574, P<0.01) are risk factors for early death. Conclusions Patients with low GCS score, slow or absent pupil light reflex, midline deviation, cerebral hernia, abnormal blood glucose and abnormal blood coagulation and multiple injuries are predictive factors for early death of craniocerebral injury, early intervention is encouraged as a tackling to the challenge.

Key words: craniocerebral injury, death, predictive factors, analysis

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