Phillip F Yang1,2, Dean P Rabinowitz3, Shing W Wong4,5, Maroof A Khan4, Robert C Gandy4,5. 1. Department of Surgery, Prince of Wales Hospital, Barker St, Randwick, NSW, 2031, Australia. p.yang@unsw.edu.au. 2. University of New South Wales, Sydney, NSW, Australia. p.yang@unsw.edu.au. 3. Department of Radiology, Prince of Wales Hospital, Randwick, NSW, Australia. 4. Department of Surgery, Prince of Wales Hospital, Barker St, Randwick, NSW, 2031, Australia. 5. University of New South Wales, Sydney, NSW, Australia.
Abstract
INTRODUCTION: Adhesion-related small-bowel obstruction (ASBO) can be managed without surgery in selected patients. The aim of this study was to validate three previously published computed tomography (CT) models that predict need for surgery. METHODS: A retrospective study of patients with ASBO admitted to a tertiary referral hospital between November 2009 and April 2015 was conducted. Data on clinical variables were extracted from medical records. CT signs were assessed by a radiologist who was blinded to whether or not the patients required surgery. Three previously published models were validated by testing their ability to predict need for surgery. RESULTS: The cohort comprised 233 patients with ASBO (mean age 69.7 years, 47.6% male), of whom 73 (31.3%) required surgery. A predictive model using a combination of mesenteric oedema, free intraperitoneal fluid and absence of small-bowel faecalisation had a sensitivity of 38% [95% CI 27-50%], specificity of 88% [81-92%], positive likelihood ratio (LR+) of 3.1 [1.6-5.1] and negative likelihood ratio (LR-) of 0.7 [0.6-0.8]. Only the results of one previously published model (which used a combination of obstipation, free intraperitoneal fluid and high-grade or complete obstruction) could be reproduced. This model had a potentially clinically useful LR+ of 2.9 [1.1-7.4] and LR- of 0.9 [0.8-1.0]. The poor performances of the other two models may be partially explained by measurement bias. CONCLUSION: The performances of the previously published predictive models in this validation study were varied. Future attempts to develop models should use clearly defined, standardised and reproducible predictors wherever possible.
INTRODUCTION: Adhesion-related small-bowel obstruction (ASBO) can be managed without surgery in selected patients. The aim of this study was to validate three previously published computed tomography (CT) models that predict need for surgery. METHODS: A retrospective study of patients with ASBO admitted to a tertiary referral hospital between November 2009 and April 2015 was conducted. Data on clinical variables were extracted from medical records. CT signs were assessed by a radiologist who was blinded to whether or not the patients required surgery. Three previously published models were validated by testing their ability to predict need for surgery. RESULTS: The cohort comprised 233 patients with ASBO (mean age 69.7 years, 47.6% male), of whom 73 (31.3%) required surgery. A predictive model using a combination of mesenteric oedema, free intraperitoneal fluid and absence of small-bowel faecalisation had a sensitivity of 38% [95% CI 27-50%], specificity of 88% [81-92%], positive likelihood ratio (LR+) of 3.1 [1.6-5.1] and negative likelihood ratio (LR-) of 0.7 [0.6-0.8]. Only the results of one previously published model (which used a combination of obstipation, free intraperitoneal fluid and high-grade or complete obstruction) could be reproduced. This model had a potentially clinically useful LR+ of 2.9 [1.1-7.4] and LR- of 0.9 [0.8-1.0]. The poor performances of the other two models may be partially explained by measurement bias. CONCLUSION: The performances of the previously published predictive models in this validation study were varied. Future attempts to develop models should use clearly defined, standardised and reproducible predictors wherever possible.
Authors: Martin D Zielinski; Patrick W Eiken; Stephanie F Heller; Christine M Lohse; Marianne Huebner; Michael G Sarr; Michael P Bannon Journal: J Am Coll Surg Date: 2011-03-31 Impact factor: 6.113
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Authors: Martin D Zielinski; Patrick W Eiken; Michael P Bannon; Stephanie F Heller; Christine M Lohse; Marianne Huebner; Michael G Sarr Journal: World J Surg Date: 2010-05 Impact factor: 3.352
Authors: Salomone Di Saverio; Fausto Catena; Federico Coccolini; Marica Galati; Nazareno Smerieri; Walter L Biffl; Luca Ansaloni; Gregorio Tugnoli; George C Velmahos; Massimo Sartelli; Cino Bendinelli; Gustavo Pereira Fraga; Michael D Kelly; Frederick A Moore; Vincenzo Mandalà; Stefano Mandalà; Michele Masetti; Elio Jovine; Antonio D Pinna; Andrew B Peitzman; Ari Leppaniemi; Paul H Sugarbaker; Harry Van Goor; Ernest E Moore; Johannes Jeekel Journal: World J Emerg Surg Date: 2013-10-10 Impact factor: 5.469