Applicability of risk scores for postoperative nausea and vomiting in a Taiwanese population undergoing general anaesthesia

Y. H. Wu, H. S. Sun, S. T. Wang, C. C.A. Tseng

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8 Citations (Scopus)

Abstract

Five popular scoring systems for postoperative nausea and vomiting (PONV) were validated and compared with two new predictive models in a Taiwanese population. Nine hundred and ninety-two patients receiving general anaesthesia in a tertiary hospital were investigated in a prospective observational cohort study. Patient demographic data and the incidence of nausea or vomiting in the first 24 hours after surgery were recorded. The overall incidence of PONV was 42%. The area under the curve (AUC) of the five published PONV risk scoring systems was 0.62 to 0.67. Logistic regression analysis in this study cohort showed that female sex and a history of PONV/car sickness were the only statistically significant independent risk factors for PONV (likelihood ratio test P <0.001). The AUCs of our two-predictor and gender-only models were 0.668 and 0.643, respectively (Nagelkerke R2=0.122 and 0.109). Goodness-of-fit showed that a two-predictor model predicted an outcome that was in agreement with the observed outcome (P=0.973). Both the two-predictor model and the Apfel score had a similar AUC that was significantly different from the AUCs of the other models. The AUC for the gender-only model in our population was similar to that of the simplified Koivuranta and the Palazzo and Evans scores (AUC=0.659 and 0.632; P=0.137 and 0.513 respectively). All AUCs had only moderate discrimination power but our female gender-only model was much simpler. Using female gender as the only predictor of PONV had predictive power with 75% sensitivity and 54% specificity.

Original languageEnglish
Pages (from-to)473-478
Number of pages6
JournalAnaesthesia and Intensive Care
Volume43
Issue number4
Publication statusPublished - 2015 Jul 1

All Science Journal Classification (ASJC) codes

  • Critical Care and Intensive Care Medicine
  • Anesthesiology and Pain Medicine

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