An update on a persisting challenge: A systematic review and meta-analysis of the risk factors for surgical site infection post craniotomy - 09/05/24
, Aws Al-Omari, MD a, Robert Vardanyan, MBBS b, Arian A. Rad, MBBS c, Susan Honeyman, BMBCh a : (Oxon), Alexandros Boukas, FRCS a : NeurosurgeryRésumé |
Background |
Surgical site infections (SSIs) postcraniotomy continue to impose a significant burden on health care systems and patient outcomes. It is, therefore, important to understand their risk factors in order to promote effective preventative measures. This meta-analysis aims to provide a comprehensive, up-to-date analysis of the risk factors associated with SSIs in neurosurgical procedures.
Methods |
A systematic review was conducted as per preferred reporting items for systematic reviews and meta-analysis guidelines to explore existing primary evidence on the risk factors for SSIs postcraniotomy. A comprehensive search of MEDLINE, EMBASE, and Pubmed was performed from database inception up to June 2023. 43 studies were included in the meta-analysis, encompassing a total of 68,881 patients.
Results |
The strongest predictor for SSIs was found to be cerebrospinal fluid (CSF) leak (OR: 8.91, CI: 4.30-18.44). Other significant factors included infratentorial surgery (OR: 0.43, CI: 0.31-0.61), emergency surgery (OR: 1.41, CI: 1.05-1.91), reintervention (OR: 3.19, CI: 1.77-5.75), prolonged operative time (mean difference: 33.25; CI: 18.83-47.67), hospital length of stay (mean difference: 0.60; CI: 0.23-0.98) and intracranial pressure monitor (ICPM) insertion (OR: 1.81; CI: 1.06-3.11). Contrarily, sex, body mass index (BMI), diabetes, antibiotic prophylaxis, immunosuppressive agents, trauma, use of artificial implants did not demonstrate statistical significance.
Conclusions |
This meta-analysis provides an up-to-date and comprehensive evaluation of risk factors for SSIs postcraniotomy. It emphasizes the need for preventive strategies, particularly against CSF leaks, and calls for further research to elucidate the intricate relationships between these factors.
Le texte complet de cet article est disponible en PDF.Highlights |
• | Our meta-analysis provides a comprehensive and up to date account of postcraniotomy SSIs. |
• | CSF leak is the most potent predictor of postoperative infections. |
• | We urge for more research on multifactorial causes and prevention of postcraniotomy SSIs. |
Key Words : Neurosurgery
Plan
| Conflicts of interest: None to report. |
Vol 52 - N° 6
P. 650-658 - juin 2024 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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