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Elevated skull fractures: an institutional experience and individual participant data meta-analysis

  • Sina Zoghi,
  • Adrina Habibzadeh,
  • Ali Ansari,
  • Megan E. H. Still,
  • Victor M. Lu,
  • Zahra Tabesh,
  • Mohammad Sadegh Masoudi,
  • Reza Taheri

摘要

Elevated skull fracture (ESF) is a rare but potentially life-threatening type of skull fracture. The literature on this topic is relatively sparse. Herein, we conducted a meta-analysis of all the patients reported in the literature with ESFs with respect to their clinical management to better inform practice. On 20th of January 2023, we conducted a systematic search of literature to find all published cases of ESF. We also conducted a retrospective review of ESF cases from our institution. The data collection and analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. After screening, 28 studies met the inclusion criteria. A total of 104 individual patients were included in the meta-analysis, with a median age of 24 years and 85.7% of whom were males. 11 patients (11.2%) had an unfavorable outcome while 37 (35.2%) had one or more complications. We found that GCS on admission is an independent predictor of poor outcome in ESF (odds ratio (95% confidence interval) = 1.605 (1.110–2.315), p value = 0.012). Regarding complications, dural injury (odds ratio (95% confidence interval) = 66.667 (7.407-500.00), p value < 0.001) and multiple bone involvement (odds ratio (95% confidence interval) = 6.849 (2.127–22.222), p value = 0.001) were independent predictors of complication. ESFs represent a rare yet consequential form of cranial injury, carrying potentially life-threatening implications if not promptly addressed. In this study, we present the meta-analysis of outcomes and complications within this patient cohort, offering a comprehensive synthesis of existing literature on this pathology. However, further investigation is imperative to provide higher-quality evidence and address lingering uncertainties in the classification and management of ESFs.