title: Early postoperative prediction of cerebral damage after pediatric cardiac surgery.
abstract: BACKGROUND
  Cerebral damage is a serious complication of pediatric cardiac surgery. Early prediction of actual risk can be useful in counseling of parents, and in early diagnosis and rehabilitation therapy. Also, if all children at risk could be identified therapeutic strategies to limit perioperative cerebral damage might be developed. The aim of this study is to create a mathematical model to predict risk of neurologic sequelae within 24 hours after surgery using simple and readily available clinical measurements.
  
  
  METHODS
  The hospital records of 534 children after cardiac surgery were reviewed. Variables examined were age at operation, diagnosis, use of cardiopulmonary bypass, arterial and central venous oxygen saturation, serum glucose, lactate and creatine kinase, mean arterial pressure, and body temperature. The endpoint for each study patient was the occurrence or lack of occurrence of seizures, movement or developmental disorders, cerebral hemorrhage, infarction, hydrocephalus, or marked cerebral atrophy. Univariate and multivariate regression analyses were used to evaluate the predictive power of the investigated factors as well as to create a predictive model.
  
  
  RESULTS
  In 6.26% of children symptoms of cerebral damage were found. Significant risk factors were age at surgery, more complex malformations, metabolic acidosis, and increased lactate (odds ratio: age, 0.882/yr [0.772-1.008]; complex malformations, 10.32 [1.32-80.28]; arterial pH more than 7.35 to 0.4 [0.18-0.89]; lactate -1.018 per mg/dL [1.006-1.03]).
  
  
  CONCLUSIONS
  It is possible to quantify the risk of appearance of symptoms of cerebral damage after cardiac surgery within 24 hours using simple and readily available clinical measurements.
authors.affiliation: Department of Neonatology and Pediatric Critical Care, PICU, and the ECMO Project, University of Vienna, Austria. g.trittenwien@a1.net
authors.forename: Gerhard
authors.initials: G
authors.lastname: Trittenwein
authors.forename: Alessandra
authors.initials: A
authors.lastname: Nardi
authors.forename: Heike
authors.initials: H
authors.lastname: Pansi
authors.forename: Johann
authors.initials: J
authors.lastname: Golej
authors.forename: Gudrun
authors.initials: G
authors.lastname: Burda
authors.forename: Michael
authors.initials: M
authors.lastname: Hermon
authors.forename: Harald
authors.initials: H
authors.lastname: Boigner
authors.forename: Gregor
authors.initials: G
authors.lastname: Wollenek
mesh_terms: D000704:Analysis of Variance; D001927:Brain Diseases / Q000453:epidemiology / Q000209:etiology*; D006348:Cardiac Surgical Procedures / Q000009:adverse effects* / Q000379:methods; D002560:Cerebrovascular Circulation; D002648:Child; D002675:Child, Preschool; D005260:Female; D005500:Follow-Up Studies; D006330:Heart Defects, Congenital / Q000175:diagnosis / Q000401:mortality / Q000601:surgery*; D006801:Humans; D015994:Incidence; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D015999:Multivariate Analysis; D016017:Odds Ratio; D010372:Pediatrics; D011183:Postoperative Complications / Q000453:epidemiology*; D011184:Postoperative Period; D011237:Predictive Value of Tests; D011336:Probability; D012372:ROC Curve; D012042:Registries; D012189:Retrospective Studies; D018570:Risk Assessment; D012720:Severity of Illness Index; D016019:Survival Analysis