title: The discriminating power of a risk score for postoperative vomiting in adults undergoing various types of surgery.
abstract: BACKGROUND
  Recently, we have demonstrated that the probability of postoperative vomiting (PV) following ENT surgery with inhalational anaesthetics can be predicted using a risk score. This score is based on gender, age, smoking status, history of motion sickness or postoperative nausea and vomiting and the duration of anaesthesia. Therefore, it is of interest whether this score is also accurate in predicting PV in patients undergoing different types of surgery.
  
  
  METHODS
  Inpatients scheduled for bone, vascular, general or eye surgery were included in a prospective survey for PV over 24 h. Data of 1091 patients were analyzed, of which 542 were used for the validation of the previously constructed risk score (Score I). The data of the remaining 549 patients were used to evaluate the risk factors that contribute to PV in this setting and to develop a new score (Score II). The discriminating power of both scores to predict PV was tested in the validation set (n=542) and compared by calculating the area under the receiver operating characteristic (ROC) curves.
  
  
  RESULTS
  The area under the ROC curve of Score I was 0.77 (SD 0.024). Risk factors for PV in the evaluation set were female gender, young age, history of motion sickness or postoperative nausea and vomiting and the type of surgery. The area under the curve of Score II was 0.75 (SD 0.026) and was not significantly different from Score I (P=0.57).
  
  
  CONCLUSIONS
  Score I was accurate in predicting PV in patients after most types of surgery with volatile anaesthetics, which suggests that this score might be useful for other centres as well.
authors.affiliation: Department of Anaesthesiology, University of Wuerzburg, Germany.
authors.forename: C C
authors.initials: CC
authors.lastname: Apfel
authors.forename: C A
authors.initials: CA
authors.lastname: Greim
authors.forename: I
authors.initials: I
authors.lastname: Haubitz
authors.forename: D
authors.initials: D
authors.lastname: Grundt
authors.forename: C
authors.initials: C
authors.lastname: Goepfert
authors.forename: P
authors.initials: P
authors.lastname: Sefrin
authors.forename: N
authors.initials: N
authors.lastname: Roewer
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000768:Anesthesia, General; D018685:Anesthetics, Inhalation / Q000009:adverse effects; D019540:Area Under Curve; D016002:Discriminant Analysis; D017558:Elective Surgical Procedures; D005069:Evaluation Studies as Topic; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D009041:Motion Sickness / Q000150:complications; D009325:Nausea / Q000150:complications; D011183:Postoperative Complications; D011336:Probability; D011446:Prospective Studies; D012372:ROC Curve; D015203:Reproducibility of Results; D012307:Risk Factors; D012737:Sex Factors; D012907:Smoking; D013514:Surgical Procedures, Operative; D013997:Time Factors; D014839:Vomiting / Q000209:etiology*
chemical_list: D018685:Anesthetics, Inhalation