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Early decompressive craniectomy for malignant cerebral infarction: Meta-analysis and clinical decision algorithm.
Christopher D Streib1, Linda M Hartman1, Bradley J Molyneaux1
1Department of Neurology and UPMC Stroke Institute (CDS, BJM), Health Sciences Library System (LMH), and Department of Critical Care Medicine (BJM), University of Pittsburgh, PA. Dr. Streib is currently affiliated with the University of Minnesota, Minneapolis.
Early decompressive craniectomy (DC) improves survival and functional outcomes for malignant cerebral infarction (MCI). This life-saving surgery offers better results, even for older patients, when performed within 48 hours.
Area of Science:
- Neurosurgery
- Neurology
- Critical Care Medicine
Background:
- Malignant cerebral infarction (MCI) poses a significant threat to life, often necessitating aggressive surgical intervention like decompressive craniectomy (DC).
- Despite its life-saving potential, the utilization of DC is limited by concerns regarding poor functional outcomes.
- This study aimed to clarify the role and outcomes of early DC (within 48 hours) for MCI patients, including those over 60.
Approach:
- A meta-analysis was conducted on randomized controlled trials comparing early DC with best medical care for MCI.
- Literature searches of PubMed, EMBASE, and Scopus identified relevant studies.
- A Mantel-Haenszel fixed effects model was used to analyze dichotomized modified Rankin Scale (mRS) outcomes at 12 months.
Key Points:
- The meta-analysis included 289 patients from 6 randomized controlled trials.
- Early DC significantly increased the rate of excellent outcomes (mRS ≤2) (RR 2.81, p=0.047).
- Early DC also improved favorable outcomes (mRS ≤3) (RR 2.06, p=0.005) and survival with unfavorable outcomes (mRS 4-5) (RR 3.03, p<0.001).
Conclusions:
- Early decompressive craniectomy enhances survival and functional independence in malignant cerebral infarction patients.
- Findings suggest early DC improves outcomes across the spectrum, from excellent to unfavorable.
- A clinical decision algorithm incorporating patient goals of care is proposed to guide the consideration of early DC.
