Risk factors for cerebral infarction after brain injury


Introduction

Posttraumatic cerebral infarction (PTCI) is a common secondary posttraumatic injury and often leads to poor prognosis, but the mechanism of its occurrence is not yet clear. Assessing risk factors in advance is very important to prevent the occurrence of PTCI. Previously, direct compression of the blood supply artery in the infarcted area was believed to be the main cause of PTCI. However, some patients with significant mass effects do not develop PTCI, while some patients with less significant mass effects develop PTCI unexpectedly, suggesting that some other factors may determine the occurrence of PTCI.

In this study, we retrospectively analyzed the risk factors of PTCI based on the data of 297 patients with moderate to severe TBI admitted to the Department of Neurosurgery, The First Affiliated Hospital of USTC (University of Science and Technology of China) from January 2019 to September 2020 to provide a reference for future clinical work.

Materials and Methods

Patients and Methods

We retrospectively analyzed patients with moderate to severe TBI who were admitted to the Department of Neurosurgery in our hospital between January 2019 and September 2020. A total of 297 patients were identified in this study and the criteria involved were as followed (Figure 1).

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Figure 1 The experimental flow chart and criteria involved.

Inclusion Criteria

(1) moderate to severe TBI patients with admission to the Department of Neurosurgery of our hospital from January 2019 to September 2020; (2) complete clinical data; and (3) complete follow-up data.

Exclusion Criteria

(1) a previous history of cerebral infarction and severe heart diseases; (2) poorly controlled hypertension, hyperlipidemia, or diabetes; (3) death within 3 days after admission; (4) a GCS score above 12 points; and (5) severe fractures and pulmonary contusions.

General Information

Among the patients, 190 were males and 107 females, with ages ranging from 11 months to 90 years (average 37.4 years). The admission Glasgow coma scale (GCS) scores were as follows: 3–8 points: 189 cases; and 9–12 points: 108 cases. The following complications were observed: skull base fracture: 69 cases; traumatic SAH: 193 cases; cerebral herniation: 70 cases; and hypotensive shock: 68 cases.

Patient Treatment

All patients were treated in accordance with the 2007 guidelines for the management of severe traumatic brain injury (TBI).1 A total of 160 patients underwent decompressive craniectomy, 2 of whom received a second decompressive craniectomy after secondary large-area traumatic cerebral infarction.

PTCI Diagnostic Criteria:2 Multiple computed tomography (CT) examinations after TBI showing low-density areas with distinct margins conforming to the arterial territory in the brain meeting the following conditions: independent infarcts in non-hemorrhagic injury areas; the consistent diagnoses of the radiologists and clinicians. While the focal cerebral or cortical encephalomalacia after craniectomy and obvious exogenous embolic factors, such as air embolism, lipid embolism, or cardiogenic embolism were excluded.

Statistical Analysis

The comparison of two groups was analyzed by χ2 test (or Fisher exact test) for univariate analysis for each variable. The logistic regression model was used for multivariate analysis to detect independent risk factors for the onset of PTCI. Variables with P value <0.05 determined by univariate analysis were included for multivariate analysis. In the final multivariate logistic regression model, variables with P values <0.05 were considered statistically significant. A receiver operating characteristic (ROC) curve was created from independent risk factors obtained from the multivariable logistic regression analysis. The area under the curve (AUC), 95% confidence interval (CI) and cut-off value of the continuous variables were recorded. The ROC model was analyzed with MedCalc statistical software (version 19.0.4, Ostend, Belgium) and the statistical package Statistical Analysis System for Windows (version 20.0, SAS Institute, Cary, NC, USA) was used for analyses.

Results

Patient Characteristics

A total of 32 (10.77%) patients with PTCI were included, 11 of whom (34.38%) had PTCI within 1 week, 16 (50%) within 8–14 days, 2 (6.25%) within 14–21 days, 2 (6.25%) within 21 days to 1 month, and 1 (3.12%) within 1 to 3 months. Of the 32 patients with PTCI, 23 had 2 or more infarcts in the vascular blood supply area, and 9 had a single infarct in the vascular blood supply area; 21 patients had infarcts in the blood supply area of the posterior cerebral artery (PCA), 21 in the blood supply area of the middle cerebral artery (MCA), 7 in the blood supply area of the anterior cerebral artery (ACA), 6 in the basal ganglia area, and 6 in the posterior fossa. The prognoses at 6 months after injury were as follows: among the 297 patients, 194 had a good prognosis (Good recovery/moderate disability), and 103 had a poor prognosis (Severe disability/vegetative/death); among the 32 patients with PTCI, 12 a had good prognosis, and 20 had a poor prognosis (Table 1).

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Table 1 The Prognosis of 297 Patients 6 Months After Injuried

Univariable Analysis

The risk factors analysis for PTCI in 297 patients with TBI showed that the admission GCS, skull base fractures, traumatic SAH, brain herniation, hypotensive shock, and decompressive craniectomy were associated with PTCI in patients with moderate or severe TBI, whereas gender and age were not (Table 2).

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Table 2 The Risk Factors for PTCI in 297 Patients with Moderate or Severe TBI

Multivariable Logistic Regression Analysis

The multivariate analysis identified that low admission, skull base fractures, traumatic SAH, brain herniation, hypotensive shock, and decompressive craniectomy were risk factor for PTCI in patients with moderate or severe TBI. No association was observed between PTCI and gender or age (Table 3).

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Table 3 The Outcome of the Multivariate Logistic Regression Analysis of the Association Between Risk Factors and PTCI

ROC Curve Analysis

The independent risk factors obtained from the multivariable logistic regression model were entered into the ROC model. Figure 2 presents the ROC curves of the six independent risk factors. Table 4 presents the characteristics in the ROC curves of the six independent risk factors.

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Table 4 Characteristics in the ROC Curves of the Six Independent Risk Factors

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Figure 2 ROC model of the six independent risk factors obtained from the multivariate logistic regression analysis.

Abbreviations: GCS, Glasgow Coma Scale; SAH, subarachnoid hemorrhage.

Discussion

The prognosis of patients with head injuries is closely associated with secondary injury. It is also seriously affected by PTCI, one of the common and serious complications of TBI. Previously, Mirvis et al2 reported that the incidence of PTCI is 1.9%. The development of medical imaging techniques such as CT and magnetic resonance imaging (MRI) has facilitated PTCI diagnosis and significantly increased the detection rate of PTCI. According to the latest report,3 the incidence of PTCI is 9.7%. Our statistics indicated that the incidence is 10.77%, which is slightly higher than 9.7%, likely due to our exclusion of patients with an admission GCS score greater than 12 and patients who died within 3 days after admission. Latronico et al3 reported that the mortality or disability rate of TBI patients with PTCI is 67.4%, which is considerably higher than that of patients without PTCI (28.4%). Our findings are essentially consistent with Latronico’s results, that is, the 6-month mortality or disability rate of TBI patients with PTCI is 62.50%, and that of TBI patients without PTCI is 31.32% (p<0.01).

PTCI often occurred in the early stage of TBI (10 days on average), and 27 cases (84.38%) occurred within 2 weeks. Therefore, CT is recommended within 2 weeks after injury such that PTCI can be detected and treated early. Our data showed that the incidence of PTCI in the blood supply area of the PCA (21 cases) or the MCA (21 cases) is significantly higher than that in other areas, followed by that of the ACA (7 cases), which is consistent with the rate previously reported by Liu et al,4 suggesting that PTCI likely occurs because these vessels are more likely to be compressed and thus deformed. The PCA is susceptible to be compressed by the temporal lobe sulcus, which leads to stenosis or even occlusion of the lumen and in turn causes infarction of the area supplied by this artery, especially in cases of tentorium notch hernia where the PCA on the affected side is compressed, which is likely to trigger occipital infarction. Midline displacement in cases of brain hernia or hematoma masses can directly cause compression of the MCA, leading to infarction of the area supplied by this artery. In cases of cerebral falx hernia, compression of the cingulate gyrus leads to bending deformation of the ACA and thus infarction of the area supplied by this artery.5,6 Therefore, the occurrence of brain hernia is closely related to PTCI. In this study, we found that the incidence rates of PTCI are 18.57% (13/70) in patients with cerebral herniation and 8.37% (19/227) in those without cerebral herniation; the difference is statistically significant (p<0.05). However, vascular compression is only one of the causes of PTCI. Other mechanisms include vasospasm (Figure 3), embolism, a hypercoagulable state after TBI, and blunt cerebrovascular injury (BCVI). Among these mechanisms, BCVI has been considered an independent risk factor for PTCI.7–10 Previous studies showed that the probability of PTCI occurrence increases with age.11,12 Borsotti reported that patients older than 50 years have a lower risk of PTCI and argued that elderly individuals are less prone to cerebral vasospasm since cerebral arteriosclerosis has already occurred, while a certain degree of brain atrophy alleviates brain compression, displacement, and edema.13 In addition, men with TBI have been reported to be more likely to develop PTCI than women.12 However, our data show no significant difference in the PTCI incidence among patients of different ages and sexes (p>0.05).

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Figure 3 Posttraumatic cerebral infarction related to vasospasm. CT image of a 44-year-old man with right frontal lobe contusion and subarachnoid hemorrhage on admission after a car accident (A). The patient developed aphasia and right hemiplegia the next day with large area cerebral infarction in the left hemisphere, lateral ventricle compression and midline shift (B). Postsurgical CT scan after decompressive craniectomy revealed well-marginated low density in the area of the left middle cerebral artery(C). Vasospasm was detected by CT Angiography(D).

Tian et al14 showed that a lower GCS score (ie, a more severe injury) corresponds to a higher probability of PTCI, which is consistent with our results showing incidence rates of 15.87% and 1.85% for patients with GCS scores of 3–8 and 9–12, respectively; the difference is statistically significant (p<0.01). Skull base fractures have a high probability of being accompanied by vascular mechanical damage, which can likely result in the formation of intramural hematomas or dissecting aneurysms, leading to vascular stenosis and thus cerebral infarction; at the same time, vascular damage stimulates the release of tissue thromboplastin, which activates the coagulation system to form a thrombus, leading to cerebral infarction.15 We found that the incidence of PTCI in patients with skull base fractures is 18.84%, which is considerably higher than that of patients without such fractures (p<0.05). Rowland et al16 conducted a prospective study on 130 patients with closed brain injuries with SAH confirmed by CT and found that the incidence of PTCI is 7.7% 4–16 days after injury and that the incidence rates of PTCI in patients with mild and severe SAH are 3.0% (3/101) and 24.1% (7/29), respectively, confirming that SAH is a risk factor for PTCI and that the main location of SAH is closely related to the corresponding location of severe vasospasm. These findings were also confirmed in our study.

Most patients with craniocerebral injuries have multiple injuries. The decompensation caused by excessive blood loss or increased intracranial pressure leads to blood pressure drops and then insufficient cerebral perfusion, which can cause cerebral infarction and aggravate the craniocerebral injury. Tian et al14 noticed that a decrease in systolic blood pressure is closely related to the occurrence of PTCI. In this study, the incidence of PTCI in patients with hypotensive shock is 20.59% (14/68), which is substantially and significantly (p<0.01) higher than that in patients without hypotensive shock.

Some studies17–19 showed that decompressive craniectomy can reduce the effects of high intracranial pressure on brain tissues and vessels, which improves cerebral blood perfusion and the patient survival rate while lowering the incidence of PTCI. However, decompressive craniectomy itself is harmful to brain tissues. Moreover, the incisional hernia formed by bulging brain tissue after decompressive craniectomy increases the incidence of PTCI. Uhl et al20 found that for patients aged 50 years and younger, decompressive craniectomy can yield encouraging results, but for patients aged older than 50 years, the effectiveness of this surgery is controversial and requires confirmation by a prospective randomized study. In this study, the incidence of PTCI in patients who underwent decompressive craniectomy is 14.38% (23/160), which is significantly different from that in patients who had not undergone this procedure (p<0.05).

Systemic inflammation response runs through the whole process of secondary brain injury.21,22 Some studies15,23 found that injured nerve cells after TBI can produce brain derived microvesicle (BDMV), which have high procoagulant activity and potential pro-inflammatory activity, can lead to cerebral infarction after traumatic brain injury. Because of the retrospective nature of this study design, we were limited by the data that were collected as standard of treatment. Future prospective, multicenter studies should allow for the collection of other possible factors that may influence systemic inflammation response. C-reactive protein (CRP) and BDMV could be a viable addition to biomarker panels for risk factors of PTCI.

Conclusion

PTCI is a common clinical complication that seriously affects the prognosis of patients; therefore, early prevention, diagnosis, and treatment are very important. Low GCS score, skull base fractures, traumatic SAH, brain herniation, hypotensive shock, and craniectomy are risk factors for the occurrence of PTCI, while age and sex are not significantly correlated with the occurrence of PTCI.

Abbreviations

ACA, anterior cerebral artery; AUC,area under the curve; BCVI, blunt cerebrovascular injury; BDMV, brain derived microvesicle; CI, confidence interval; CT, computed tomography; CRP,C-reactive protein; GCS, admission Glasgow Coma Scale; MCA, middle cerebral artery; MRI, magnetic resonance imaging; NA,not available; OR,odds ratio; PCA, posterior cerebral artery; PTCI, Posttraumatic cerebral infarction; ROC, receiver operating characteristic; SAH, subarachnoid hemorrhage; SE,standard error; TBI, traumatic brain injury.

Ethics Statement

We obtained ethical approval to carry out this study from the Institutional Review Board (IRB) of The First Affiliated Hospital of USTC, Hefei, Anhui, China (Approval Number:2021-RE-031). All patients or their relatives provided written informed consent for this research, which was carried out in compliance with the Helsinki Declaration. All individual information was strictly kept confidential and anonymous in the manuscript.

Acknowledgments

This study was supported by grants from Anhui Natural Science Foundation (No:2008085MH250), Special Fund for basic scientific research in Central University (No: WK9110000123) and Special Fund Project for Guiding Local Science and Technology Development by the Central Government (No: 2019b07030001).

Disclosure

The authors report no conflicts of interest in this work.

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