کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4279661 1611525 2012 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Derivation and out-of-sample validation of a modeling system to predict length of surgery
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی عمل جراحی
پیش نمایش صفحه اول مقاله
Derivation and out-of-sample validation of a modeling system to predict length of surgery
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The American Journal of Surgery - Volume 204, Issue 5, November 2012, Pages 563–568
نویسندگان
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