Predictors of perioperative complications in paediatric cranial vault reconstruction surgery: a multicentre

S M Goobie1, D Zurakowski1, K V Isaac2

  • 1Harvard Medical School, Boston, MA, USA; Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, MA, USA.

Insights

Major complications in pediatric craniofacial surgery affect 15% of patients. Key predictors include patient health status, specific syndromes, antifibrinolytics, blood transfusions, and surgery length, aiding risk stratification.

Area of Science:

  • Pediatric Surgery
  • Craniofacial Surgery
  • Surgical Outcomes Research

Background:

  • The incidence of major complications in pediatric craniofacial surgery remains undefined in North America.
  • This study aims to define complication rates and identify predictors using multicenter data.

Purpose of the Study:

  • To determine the incidence of major perioperative complications in pediatric craniofacial surgery.
  • To identify independent predictors of these complications.
  • To develop a risk stratification tool for patient management.

Main Methods:

  • Analysis of the Pediatric Craniofacial Surgery Perioperative Registry (5-year period).
  • Inclusion of complex cranial vault reconstruction surgeries.
  • Identification of major complications via a priori consensus; logistic regression and bootstrapping for predictor analysis.

Main Results:

  • 1814 patients from 33 institutions were analyzed; 15% experienced major perioperative complications.
  • Independent predictors included ASA status 3/4, craniofacial syndrome, antifibrinolytic use, blood transfusion >50 ml/kg, and surgery duration >5 hours.
  • A predictive algorithm demonstrated good internal validity and excellent performance, estimating a 3-day increase in hospital stay per complication.

Conclusions:

  • A validated predictive algorithm can risk-stratify patients undergoing craniofacial surgery.
  • Identifying high-risk patients allows for targeted quality improvement initiatives.
  • These efforts aim to reduce patient morbidity and mortality.
Abstract

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