Document Detail

Performance and customization of 4 prognostic models for postoperative onset of nausea and vomiting in ear, nose, and throat surgery.
MedLine Citation:
PMID:  16797426     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: To evaluate the performance of 4 published prognostic models for postoperative onset of nausea and vomiting (PONV) by means of discrimination and calibration and the possible impact of customization on these models. DESIGN: Prospective, observational study. SETTING: Tertiary care university hospital. PATIENTS: 748 adult patients (>18 years old) enrolled in this study. Severe obesity (weight > 150 kg or body mass index > 40 kg/m) was an exclusion criterion. INTERVENTIONS: All perioperative data were recorded with an anesthesia information management system. A standardized patient interview was performed on the postoperative morning and afternoon. MEASUREMENTS: Individual PONV risk was calculated using 4 original regression equations by Koivuranta et al, Apfel et al, Sinclair et al, and Junger et al Discrimination was assessed using receiver operating characteristic (ROC) curves. Calibration was tested using Hosmer-Lemeshow goodness-of-fit statistics. New predictive equations for the 4 models were derived by means of logistic regression (customization). The prognostic performance of the customized models was validated using the "leaving-one-out" technique. MAIN RESULTS: Postoperative onset of nausea and vomiting was observed in 11.2% of the specialized patient population. Discrimination could be demonstrated as shown by areas under the receiver operating characteristic curve of 0.62 for the Koivuranta et al model, 0.63 for the Apfel et al model, 0.70 for the Sinclair et al model, and 0.70 for the Junger et al model. Calibration was poor for all 4 original models, indicated by a P value lower than 0.01 in the C and H statistics. Customization improved the accuracy of the prediction for all 4 models. However, the simplified risk scores of the Koivuranta et al model and the Apfel et al model did not show the same efficiency as those of the Sinclair et al model and the Junger et al model. This is possibly a result of having relatively few patients at high risk for PONV in combination with an information loss caused by too few dichotomous variables in the simplified scores. CONCLUSIONS: The original models were not well validated in our study. An antiemetic therapy based on the results of these scores seems therefore unsatisfactory. Customization improved the accuracy of the prediction in our specialized patient population, more so for the Sinclair et al model and the Junger et al model than for the Koivuranta et al model and the Apfel et al model.
Jörg M Engel; Axel Junger; Bernd Hartmann; Simon Little; Rose Schnöbel; Valesco Mann; Andreas Jost; Ingeborg D Welters; Gunter Hempelmann
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Publication Detail:
Type:  Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of clinical anesthesia     Volume:  18     ISSN:  0952-8180     ISO Abbreviation:  J Clin Anesth     Publication Date:  2006 Jun 
Date Detail:
Created Date:  2006-06-26     Completed Date:  2006-12-04     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8812166     Medline TA:  J Clin Anesth     Country:  United States    
Other Details:
Languages:  eng     Pagination:  256-63     Citation Subset:  IM    
Department of Anesthesiology, Intensive Care Medicine, and Pain Therapy, University Hospital Giessen, D-35392 Giessen, Germany.
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MeSH Terms
Middle Aged
Models, Statistical*
Otorhinolaryngologic Diseases / surgery*
Postoperative Nausea and Vomiting / etiology*,  prevention & control
Postoperative Period
Predictive Value of Tests

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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