Predictors of major postoperative complications in neonatal surgery

Rev Col Bras Cir. 2013 Sep-Oct;40(5):363-9. doi: 10.1590/s0100-69912013000500003.
[Article in English, Portuguese]

Abstract

Objective: To investigate the incidence and severity of early postoperative complications and to identify their risk factors in newborns undergoing surgery under general anesthesia.

Methods: We conducted a retrospective analysis of data from 437 critically ill newborns undergoing surgery in a tertiary pediatric surgical center, between January 2000 and December 2010. Complications that occurred within the first 30 days after surgery were classified using the Clavien-Dindo system, for which grades III to V were considered severe. We used univariate and multivariate analysis to evaluate pre- and intraoperative variables potentially predictive of severe postoperative complications.

Results: The incidence of at least one serious complication was 23%, with a median of one complication per patient 1:3. Altogether, there were 121 serious complications. Of these, 86 required surgical, endoscopic or radiological interventions (grade III), 25 endangered life, with uni or multi-organ failure (grade IV) and ten resulted in death (grade V). The most common complications were technical (25%), gastrointestinal (22%) and respiratory (21%). We identified four independent risk factors for severe postoperative complications: reoperation, operation for congenital diaphragmatic hernia, preterm birth less than 32 weeks of gestational age and abdominal surgery.

Conclusion: The incidence of severe postoperative complications after neonatal surgeries under general anesthesia remains high. The conditions considered independent risk factors for those can guide interventions to improve results.

MeSH terms

  • Anesthesia, General*
  • Female
  • Humans
  • Incidence
  • Infant, Newborn
  • Infant, Newborn, Diseases / surgery*
  • Male
  • Postoperative Complications / epidemiology*
  • Prognosis
  • Retrospective Studies
  • Risk Factors
  • Severity of Illness Index