Analysis of Risk Factors of Intracranial Infection After Traumatic Brain Injury Surgery

2021 ◽  
Vol 7 (5) ◽  
pp. 3161-3167
Author(s):  
JiNan Li ◽  
XinLi Zhang ◽  
Hang SU ◽  
YaNan Qu ◽  
MeiXuan Piao
Keyword(s):  
Risk Factors ◽  
Traumatic Brain Injury ◽  
Mechanical Ventilation ◽  
Cerebrospinal Fluid ◽  
Brain Injury ◽  
Operation Time ◽  
Cerebrospinal Fluid Leakage ◽  
Infection Group ◽  
Intracranial Infection ◽  
Indwelling Time

Background: Craniocerebral operation is the main method for the treatment of traumatic brain injury. However, it is very easy to be complicated with intracranial infection after operation, which affects the surgical efficacy and patient’s prognosis. It is also the main cause of surgical failure. It may also cause patient’s death for some patients with serious diseases. It is found that the infection after craniocerebral operation is often accompanied with abnormal changes of body-related treatment, in which the changes of serological indicators are more significant. Therefore, it is helpful to provide guidance for the prevention and judgment of patient’s postoperative infection by analyzing the patient’s serological indicators. Objective: To investigate the risk factors of intracranial infection and the levels of serum procalcitonin (PCT) and endothelin-1 (ET-1) in patients after traumatic brain injury. Methods: From January 2018 to January 2021, 58 patients with intracranial infection after traumatic brain injury (infection group) were selected, and 116 patients without intracranial infection after traumatic brain injury (non-infection group) were selected. The difference of clinical data between the two groups was analyzed. Serum PCT and ET-1 levels were measured in the two groups. Results: In the infection group, admission GCS scoring <8 points, operation time ≥4h, indwelling time of drainage tube ≥ 2d, preoperative ALB <35g/ L, mechanical ventilation and cerebrospinal fluid leakage were 63.79%, 72.41%, 43.10%, 68.97%, 32.76% and 68.97% respectively, which were obviously higher than those in the non-infection group (P<0.05). Logistic regression analysis results showed that admission GCS scoring, operation time, indwelling time of drainage tube, preoperative ALB, mechanical ventilation and cerebrospinal fluid leakage were the influencing factors of intracranial infection after traumatic brain injury (OR = 0.712,1.556,1.451,0.641,1.954 and 1.667, P<0.05); serum PCT and ET-1 in the infection group were (0.83 ± 0.20) mg/L and (0.87 ± 0.23) ng/L, respectively, which were significantly higher than those in the non-infection group (P<0.05); serum PCT and ET-1 in patients with different sex, age and pathogen had no significant difference (P>0.05); serum PCT and ET-1 area under ROC curve were 0.828 and 0.751, respectively P<0.05. Conclusion: The intracranial infection of patients with traumatic brain injury are affected by many factors including, admission GCS scoring, operation time, and so on, the levels of serum PCT and ET-1 in patients with intracranial infection are increased, which may be useful in predicting intracranial infection.

scholarly journals The incidence and risk factors of ventilator-associated pneumonia in patients with severe traumatic brain injury

2011 ◽  
Vol 64 (7-8) ◽  
pp. 403-407 ◽  
Author(s):  
Vesna Marjanovic ◽  
Vesna Novak ◽  
Ljubinka Velickovic ◽  
Goran Marjanovic
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Traumatic Brain Injury ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Brain Injury ◽  
Severe Traumatic Brain Injury ◽  
Prolonged Mechanical Ventilation ◽  
Chest Injury ◽  
Ventilator Associated Pneumonia

Introduction. Patients with severe traumatic brain injury are at a risk of developing ventilator-associated pneumonia. The aim of this study was to describe the incidence, etiology, risk factors for development of ventilator- associated pneumonia and outcome in patients with severe traumatic brain injury. Material and Methods. A retrospective study was done in 72 patients with severe traumatic brain injury, who required mechanical ventilation for more than 48 hours. Results. Ventilator-associated pneumonia was found in 31 of 72 (43.06%) patients with severe traumatic brain injury. The risk factors for ventilator-associated pneumonia were: prolonged mechanical ventilation (12.42 vs 4.34 days, p<0.001), longer stay at intensive care unit (17 vs 5 days, p<0.001) and chest injury (51.61 vs 19.51%, p< 0.009) compared to patients without ventilator-associated pneumonia.. The mortality rate in the patients with ventilator-associated pneumonia was higher (38.71 vs 21.95%, p= 0.12). Conclusion. The development of ventilator-associated pneumonia in patients with severe traumatic brain injury led to the increased morbidity due to the prolonged mechanical ventilation, longer stay at intensive care unit and chest injury, but had no effect on mortality.

scholarly journals A-126 Clinical Utility of Risk Factors to Predict Self-reported Neurobehavioral Outcome Following Traumatic Brain Injury: PTSD, Sleep, Resilience, and Lifetime Blast Exposure

2020 ◽  
Vol 35 (6) ◽  
pp. 919-919
Author(s):  
Lange R ◽  
Lippa S ◽  
Hungerford L ◽  
Bailie J ◽  
French L ◽  
...  
Keyword(s):  
Risk Factors ◽  
Traumatic Brain Injury ◽  
Risk Factor ◽  
Brain Injury ◽  
Clinical Utility ◽  
Poor Sleep ◽  
Post Injury ◽  
Poor Outcome ◽  
Blast Exposure ◽  
Neurobehavioral Outcome

Abstract Objective To examine the clinical utility of PTSD, Sleep, Resilience, and Lifetime Blast Exposure as ‘Risk Factors’ for predicting poor neurobehavioral outcome following traumatic brain injury (TBI). Methods Participants were 993 service members/veterans evaluated following an uncomplicated mild TBI (MTBI), moderate–severe TBI (ModSevTBI), or injury without TBI (Injured Controls; IC); divided into three cohorts: (1) &lt; 12 months post-injury, n = 237 [107 MTBI, 71 ModSevTBI, 59 IC]; (2) 3-years post-injury, n = 370 [162 MTBI, 80 ModSevTBI, 128 IC]; and (3) 10-years post-injury, n = 386 [182 MTBI, 85 ModSevTBI, 119 IC]. Participants completed a 2-hour neurobehavioral test battery. Odds Ratios (OR) were calculated to determine whether the ‘Risk Factors’ could predict ‘Poor Outcome’ in each cohort separately. Sixteen Risk Factors were examined using all possible combinations of the four risk factor variables. Poor Outcome was defined as three or more low scores (&lt; 1SD) on five TBI-QOL scales (e.g., Fatigue, Depression). Results In all cohorts, the vast majority of risk factor combinations resulted in ORs that were ‘clinically meaningful’ (ORs &gt; 3.00; range = 3.15 to 32.63, all p’s &lt; .001). Risk factor combinations with the highest ORs in each cohort were PTSD (Cohort 1 & 2, ORs = 17.76 and 25.31), PTSD+Sleep (Cohort 1 & 2, ORs = 18.44 and 21.18), PTSD+Sleep+Resilience (Cohort 1, 2, & 3, ORs = 13.56, 14.04, and 20.08), Resilience (Cohort 3, OR = 32.63), and PTSD+Resilience (Cohort 3, OR = 24.74). Conclusions Singularly, or in combination, PTSD, Poor Sleep, and Low Resilience were strong predictors of poor outcome following TBI of all severities and injury without TBI. These variables may be valuable risk factors for targeted early interventions following injury.

scholarly journals Cerebrospinal fluid leakage after cranial surgery in the pediatric population—a systematic review and meta-analysis

2021 ◽  
Author(s):  
Emma M. H. Slot ◽  
Kirsten M. van Baarsen ◽  
Eelco W. Hoving ◽  
Nicolaas P. A. Zuithoff ◽  
Tristan P. C van Doormaal
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Cerebrospinal Fluid ◽  
Pediatric Population ◽  
Meta Analysis ◽  
Leakage Rate ◽  
Csf Leak ◽  
Cerebrospinal Fluid Leakage ◽  
Cranial Surgery ◽  
Csf Leakage

Abstract Background Cerebrospinal fluid (CSF) leakage is a common complication after neurosurgical intervention. It is associated with substantial morbidity and increased healthcare costs. The current systematic review and meta-analysis aim to quantify the incidence of cerebrospinal fluid leakage in the pediatric population and identify its risk factors. Methods The authors followed the PRISMA guidelines. The Embase, PubMed, and Cochrane database were searched for studies reporting CSF leakage after intradural cranial surgery in patients up to 18 years old. Meta-analysis of incidences was performed using a generalized linear mixed model. Results Twenty-six articles were included in this systematic review. Data were retrieved of 2929 patients who underwent a total of 3034 intradural cranial surgeries. Surprisingly, only four of the included articles reported their definition of CSF leakage. The overall CSF leakage rate was 4.4% (95% CI 2.6 to 7.3%). The odds of CSF leakage were significantly greater for craniectomy as opposed to craniotomy (OR 4.7, 95% CI 1.7 to 13.4) and infratentorial as opposed to supratentorial surgery (OR 5.9, 95% CI 1.7 to 20.6). The odds of CSF leakage were significantly lower for duraplasty use versus no duraplasty (OR 0.41 95% CI 0.2 to 0.9). Conclusion The overall CSF leakage rate after intradural cranial surgery in the pediatric population is 4.4%. Risk factors are craniectomy and infratentorial surgery. Duraplasty use is negatively associated with CSF leak. We suggest defining a CSF leak as “leakage of CSF through the skin,” as an unambiguous definition is fundamental for future research.

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