Volume 23 Issue 7
Jul.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(7): 1144-1147
GE Xiuzhen, QIAN Lili, MIAO Juan, LIANG Min, YANG Congyan, LI Lei. Risk factors and predictive model construction of post-traumatic stress disorder in patients with traumatic brain injury[J]. Chinese Journal of General Practice, 2025, 23(7): 1144-1147. doi: 10.16766/j.cnki.issn.1674-4152.004084
Citation: GE Xiuzhen, QIAN Lili, MIAO Juan, LIANG Min, YANG Congyan, LI Lei. Risk factors and predictive model construction of post-traumatic stress disorder in patients with traumatic brain injury[J]. Chinese Journal of General Practice, 2025, 23(7): 1144-1147. doi: 10.16766/j.cnki.issn.1674-4152.004084
shu

Risk factors and predictive model construction of post-traumatic stress disorder in patients with traumatic brain injury

doi: 10.16766/j.cnki.issn.1674-4152.004084
  • 1.

    Department of Neurosurgery, the Fifth People's Hospital of Fuyang, Fuyang, Anhui 236000, China

Funds:

 2022AH051478

  • Received Date: 2024-08-15
    Abstract
  •   Objective  The risk factors of post-traumatic stress disorder in patients with craniocerebral injury were analyzed and a risk prediction model was constructed to provide a theoretical basis for early identification and prevention of post-traumatic stress disorder.  Methods  A total of 170 patients with craniocerebral injury who were hospitalized in the Department of Neurosurgery of the Fifth People ' s Hospital of Fuyang City from April 2022 to February 2024 were selected as the study objects by convenient sampling method. According to whether the patients developed PTSD one month after discharge, they were divided into a stress disorder group (n=67) and a no-stress disorder group (n=103). The binary logistic regression model was used to analyze the risk factors of PTSD and to construct a risk prediction model. The predictive efficacy was tested by the ROC curve.  Results  The incidence of post-traumatic stress disorder in traumatic brain injury patients was 39.41% (67/170). Female (OR=4.509, P=0.009), sequelae (OR=3.868, P=0.040), insomnia (OR=2.537, P=0.007) were risk factors for the occurrence of post-traumatic stress disorder, and there was compensation/reimbursement (OR=0.282, P=0.031), high level of post-traumatic growth (OR=0.840, P < 0.001) and good quality of social relations (OR=0.913, P=0.017) were the protective factors for the occurrence of post-traumatic stress disorder. Hosmer-Lemeshow goodness of fit test results (χ2=4.314, P=0.828) indicated that the regression model had a good match, and the AUC was 0.942 (95% CI: 0.909-0.974, P < 0.001), sensitivity and specificity were 91.0% and 84.5%.  Conclusion  There is a high incidence of post-traumatic stress disorder in patients with head injuries. Female, no compensation/reimbursement, sequelae, lack of sleep, low level of traumatic growth, poor quality of social relations, and other risk factors will increase the risk of post-traumatic stress disorder. The established risk prediction model has a good prediction, providing a theoretical basis for clinical assessment and early intervention of patients with post-traumatic stress disorder.

     

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