Literature DB >> 26670674

Early complication detection after colorectal surgery (CONDOR): study protocol for a prospective clinical diagnostic study.

Verena Kornmann1, Bert van Ramshorst2, Susan van Dieren3, Nanette van Geloven4, Marja Boermeester5, Djamila Boerma6.   

Abstract

PURPOSE: Anastomotic leakage is one of the most feared complications following colorectal surgery with a high morbidity and mortality rate. Multiple risk factors have been identified, but leakage still occurs. Early detection is crucial in order to reduce morbidity and mortality. The aim of this study is to create a decision algorithm for early detection of anastomotic leakage.
METHODS: All patients who undergo elective colorectal surgery for benign or malignant disease are enrolled in this multicenter study. The primary endpoint is the accuracy of the prediction of anastomotic leakage. The main study parameter is the occurrence of postoperative anastomotic leakage. Secondary study parameters are clinical (vital) parameters, additional laboratory or radiology examination, other complications, mortality, re-intervention, duration of hospital and intensive care stay, emergency room visits, readmission to the hospital and total costs. Daily physical examination and each step in clinical decision making will be evaluated prospectively in a standardized manner. The focus of the analysis will be on the added value of diagnostic tools, such as laboratory results and imaging studies, over physical examination by using logistic regression and decision tree analysis.
CONCLUSION: This study aims to develop an optimal diagnostic algorithm that can act as a guideline for surgeons or surgical residents to early identify patients with anastomotic leakage after colorectal surgery.

Entities:  

Keywords:  Anastomotic leakage; Colorectal surgery; Complications; Risk management

Mesh:

Year:  2015        PMID: 26670674     DOI: 10.1007/s00384-015-2468-3

Source DB:  PubMed          Journal:  Int J Colorectal Dis        ISSN: 0179-1958            Impact factor:   2.571


  6 in total

1.  Factors determining delay in relaparotomy for anastomotic leakage after colorectal resection.

Authors:  A Doeksen; P J Tanis; B C Vrouenraets; J J B Lanschot van; W F Tets van
Journal:  World J Gastroenterol       Date:  2007-07-21       Impact factor: 5.742

Review 2.  Prediction and diagnosis of colorectal anastomotic leakage: A systematic review of literature.

Authors:  Freek Daams; Zhouqiao Wu; Max Jef Lahaye; Johannus Jeekel; Johan Frederik Lange
Journal:  World J Gastrointest Surg       Date:  2014-02-27

3.  Beware of false-negative CT scan for anastomotic leakage after colonic surgery.

Authors:  Verena N N Kornmann; Bert van Ramshorst; Anke B Smits; Thomas L Bollen; Djamila Boerma
Journal:  Int J Colorectal Dis       Date:  2013-12-20       Impact factor: 2.571

4.  The value of Modified Early Warning Score (MEWS) in surgical in-patients: a prospective observational study.

Authors:  J Gardner-Thorpe; N Love; J Wrightson; S Walsh; N Keeling
Journal:  Ann R Coll Surg Engl       Date:  2006-10       Impact factor: 1.891

Review 5.  Systematic review on the value of CT scanning in the diagnosis of anastomotic leakage after colorectal surgery.

Authors:  Verena N N Kornmann; Nikki Treskes; Lilian H F Hoonhout; Thomas L Bollen; Bert van Ramshorst; Djamila Boerma
Journal:  Int J Colorectal Dis       Date:  2012-12-14       Impact factor: 2.571

Review 6.  Systematic review of preoperative, intraoperative and postoperative risk factors for colorectal anastomotic leaks.

Authors:  F D McDermott; A Heeney; M E Kelly; R J Steele; G L Carlson; D C Winter
Journal:  Br J Surg       Date:  2015-02-19       Impact factor: 6.939

  6 in total
  1 in total

1.  Assessment of MMP-2/-9 expression by fluorescence endoscopy for evaluation of anastomotic healing in a murine model of anastomotic leakage.

Authors:  Philipp-Alexander Neumann; Vanessa Twardy; Felix Becker; Christiane Geyer; Katrin Schwegmann; Annika Mohr; Andreas Faust; Philipp Lenz; Emile Rijcken
Journal:  PLoS One       Date:  2018-03-22       Impact factor: 3.240

  1 in total

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