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Published on: June 22, 2022
Predictors of decompressive hemicraniectomy in malignant middle cerebral artery stroke
Saadat Kamran1,2, Abdul Salam3, Naveed Akhtar3,4
1Neuroscience Institute (Stroke Center of Excellence), Hamad Medical Corporation, Doha, Qatar. skamranmd@hotmail.com.
Insights
This study identified key factors for selecting malignant middle cerebral artery (MMCA) stroke patients for decompressive hemicraniectomy (DHC). Younger age, diabetes, and specific imaging findings predict DHC suitability in MMCA stroke patients.
Area of Science:
- Neurology
- Neurosurgery
- Stroke Medicine
Background:
- Malignant middle cerebral artery (MMCA) stroke poses significant mortality risks.
- Decompressive hemicraniectomy (DHC) is a potential treatment, but patient selection remains critical.
- Identifying predictive factors for DHC in MMCA stroke is essential for optimizing patient outcomes.
Purpose of the Study:
- To identify factors associated with the decision to perform DHC in patients with MMCA stroke.
- To develop a model for predicting DHC suitability in MMCA stroke patients.
- To aid in the selection process for DHC in MMCA stroke.
Main Methods:
- Retrospective multicenter study of 203 MMCA stroke patients.
- Analysis of demographic, clinical, and radiology data.
- Multivariate logistic regression and bootstrapping for model validation.
Main Results:
- Factors associated with DHC included younger age (<55 years), MCA involvement of additional territories, septum pellucidum displacement (≥7.5 mm), diabetes, infarct growth rate (IGR), and temporal lobe involvement.
- The multivariate model showed predictive value for DHC in MMCA stroke.
- Younger age, diabetes, and specific imaging findings were significant predictors.
Conclusions:
- Younger age, diabetes, infarct growth rate, and specific radiological findings predict DHC in MMCA stroke.
- These factors can assist clinicians in selecting appropriate MMCA stroke patients for DHC.
- The developed model demonstrates good predictive capability for DHC in MMCA stroke.
Abstract:
Identification of factors in malignant middle cerebral artery (MMCA) stroke patients that may be useful in selecting patients for DHC. This study was a retrospective multicenter study of patients referred for DHC based on the criteria of the randomized control trials of DHC in MMCA stroke. Demographic, clinical, and radiology data were analyzed. Patients who underwent DHC were compared to those who survived without surgery. Two hundred three patients with MMCA strokes were identified: 137 underwent DHC, 47 survived without DHC, and 19 refused surgery and died. Multivariate analysis identified the following factors determining DHC in MMCA stroke: age < 55 years (OR 8.5, 95% CI 3.3-22.1, P < 0.001), MCA with involvement of additional vascular territories (anterior cerebral artery, posterior cerebral artery (OR 4.8, 95% CI 1.5-14.9, P = 0.007), septum pellucidum displacement ≥ 7.5 mm (OR 4.8, 95% CI 1.9-11.7, P = 0.001), diabetes (OR 3.7, 95% CI 1.3-10.6, P = 0.012), infarct growth rate (IGR) ml/h (OR 1.11, 95% CI 1.02-1.2, P = 0.015), and temporal lobe involvement (OR 2.5, 95% CI 1.01-6.1, P = 0.048). The internal validation of the multivariate logistic regression model using bootstrapping analysis showed marginal bias. Among patients with MMCA infarctions, an increased possibility of DHC is associated with younger age, MCA with additional infarction, septum pellucidum deviation of > 7.5 mm, diabetes, IGR, and temporal lobe involvement. The presence of these risk factors identifies those MMCA stroke patients who may require DHC. Bootstrapping analysis indicated the model is good enough to predict the outcome in general population.
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