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A risk score to predict the probability of postoperative vomiting in adults
Author(s) -
Apfel C. C.,
Greim C. A.,
Haubitz I.,
Goepfert C.,
Usadel J.,
Sefrin P.,
Roewer N.
Publication year - 1998
Publication title -
acta anaesthesiologica scandinavica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.738
H-Index - 107
eISSN - 1399-6576
pISSN - 0001-5172
DOI - 10.1111/j.1399-6576.1998.tb05157.x
Subject(s) - medicine , vomiting , intensive care medicine , anesthesia
Background : The aim of this study was to identify factors most relevant for postoperative vomiting (PV) and to develop a risk score to predict the probability of PV. Methods : Adult inpatients scheduled for elective ear, nose and throat (ENT) surgery under general anaesthesia were offered to participate in a prospective study for PV over 24 h. No prophylactic antiemetics were used. The data of 1137 patients were randomized and split into an evaluation set (n=553) and a validation set (n=584). The evaluation set was subjected to logistic regression analysis to quantify the relative impact of anaesthetic, surgical and individual factors and to develop a risk score. The score was then tested by applying it to the validation set. The area under a receiver operation characteristic (ROC) curve was calculated and the predicted and actual incidences of patients were correlated. Results : In the evaluation set, patient‐related factors (female gender, young age, non‐smoking, history of PV or motion sickness) and a high duration of anaesthesia were independent risk factors for PV. The probability of PV could be estimated from the equation: PV = 1/(1 + exp(‐z)) where z=1.28 · (gender)‐0.029· (age)‐0.74·(smoking)+0.63·(history of PV or motion sickness)+0.26 · (duration)‐0.92. In the validation set this score achieved an area under the ROC‐curve of 0.78 and the actual incidence correlated strongly with the predicted risks (R 2 =0.93, P <0.001). Conclusion : The data suggest that the probability of PV following ENT surgery under inhalational anaesthesia with low‐dose opioids can be predicted by a score mainly based upon patient‐related risk factors.