کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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4279661 | 1611525 | 2012 | 6 صفحه PDF | دانلود رایگان |

BackgroundWe performed a retrospective study to compare the precision of a regression model (RM) system with the precision of the standard method of surgical length prediction using historical means (HM).MethodsData were collected on patients who underwent carotid endarterectomy and lower-extremity bypass. Multiple linear regression was used to model the operative time length (OTL). The precision of the RM versus HM in predicting case length then was compared in a validation dataset.ResultsWith respect to carotid endarterectomy, surgeon, surgical experience, and cardiac surgical risk were significant predictors of OTL. For lower-extremity bypass, surgeon, use of prosthetic conduit, and performance of a sequential bypass or hybrid procedure were significant predictors of OTL. The precision of out-of-sample prediction was greater for the RM system compared with HM for both procedures.ConclusionsA regression methodology to predict case length appears promising in decreasing uncertainty about surgical case length.
Journal: The American Journal of Surgery - Volume 204, Issue 5, November 2012, Pages 563–568