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Updated: Jan 19, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Logistic Regression Analysis of Risk Factors for Intracranial Infection After Multiple Traumatic Craniotomy and
Background And Objective:
The aim of this study was to study the risk factors of intracranial infection after traumatic craniotomy in multiple trauma to provide references for clinical prevention and control of intracranial infection.
Methods:
A total of 34 multiple trauma patients treated with craniotomy and complicated with intracranial infection from February 2012 to December 2016 in the department of neurosurgery of our hospital were selected as infection group, and 60 multiple trauma patients who had not been infected after craniotomy during the same period were selected as control group. Related risk factors were screened by univariate analysis at first and analyzed by Logistic regression.
Results:
Of the 34 patients in the infection group, 13 cases were cured, 21 cases improved, whereas in the control group, 15 cases were cured and 45 cases improved. There was no significant difference in prognosis between the 2 groups (P > 0.05). Univariate analysis showed that surgical approach, surgical duration, postoperative cerebrospinal fluid leakage, and external drainage were important factors for intracranial infection after craniotomy (P < 0.05). Further Logistic regression analysis showed that postoperative external drainage, cerebrospinal fluid leakage, surgical time, and posterior fossa approaches were independent risk factors for intracranial infection after craniotomy.
Conclusion:
High attention should be paid to the risk factors of intracranial infection after craniotomy such as postoperative cerebrospinal fluid leakage, external drainage, surgical duration and approach, and taking effective preventive measures to reduce the incidence of intracranial infection after craniotomy in patients with multiple traumatic injuries.
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