Incidence and Risk Factors of Surgical Site Infection Following Pediatric Neurosurgery
Notice bibliographique
Résumé
Background: Neurosurgeries are at high risk of surgical site infections (SSI), a complication associated with increased morbidity, mortality, and cost. Our aim was to measure SSI incidence and risk factors following pediatric neurosurgery at CHU Sainte-Justine, the provincial center for pediatric craniofacial surgery in Québec, Canada. Methods: Retrospective cohort study of all patients with elective neurosurgery performed at CHUSJ between October 2014 and October 2018. Medical records were reviewed to compare demographics, clinical presentations, and outcomes of patients. SSIs occurring within 30 days of a procedure without implant and up to 90 days with implant, were identified. SSI incidence was measured in patient years, and risk factors were assessed using univariate logistic regressions. Results: In total, 379 patients were included with an overall SSI incidence of 3.96 patient years. We found a higher SSI incidence in 2014–2015 compared to 2016–2018 (1.82 vs 4.83 patient years). The median age was 3.90 years, and cases seemed younger than controls (1.45 vs 4.15 years). No difference between groups was found for sex, body mass index, prematurity, and length of hospitalization. The proportion of deep SSIs was greater than superficial SSIs (53.3% vs 46.7%). Cases were more likely to present with a more severe ASA score, previous history of neurosurgery, neurological conditions, and pulmonary conditions than controls: OR, 3.90 (95% CI, 1.36–11.49); OR, 2.59 (95% CI, 0.88–7.40); OR, 2.77 (95% CI, 0.98–8.41), and OR, 3.21 (95% CI, 0.86–9.94), respectively. Among patients with history of neurosurgery, a higher proportion of cases experienced a cerebrospinal fluid leak (28.6% vs 2.2%). Most patients (85.8%) received preoperative prophylactic antibiotic. Of those, 49.3% were considered appropriate based on antibiotic and timing of administration. When antibiotic dosage was also considered, the number of patients who received an appropriate antibiotic therapy decreased radically. Conclusions: Patients with comorbidities, especially neurological and pulmonary conditions, are at higher risk of SSI after neurosurgery. We are currently working on a detailed analysis to explain the increase in SSI incidence after 2016. Finally, prophylactic antibiotic therapy needs to be improved and its impact on SSI rates needs to be monitored. Funding: None Disclosures: None
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».