Literature DB >> 11513777

A risk score for conversion from laparoscopic to open cholecystectomy.

N A Kama1, M Kologlu, M Doganay, E Reis, M Atli, M Dolapci.   

Abstract

BACKGROUND: Laparoscopic cholecystectomy has become the standard operative procedure for cholelithiasis, but there are still some patients requiring conversion to open cholecystectomy mainly because of technical difficulty. Our aim was to develop a risk score for prediction of conversion from laparoscopic to open cholecystectomy.
METHODS: Preoperative clinical, laboratory, and radiologic parameters of 1,000 patients who underwent laparoscopic cholecystectomy were analyzed for their effect on conversion rates. Six parameters (male sex, abdominal tenderness, previous upper abdominal operation, sonographically thickened gallbladder wall, age over 60 years, preoperative diagnosis of acute cholecystitis) were found to have significant effect in multivariate analysis. A constant and coefficients for these variables were calculated and formed the risk score.
RESULTS: Overall 48 patients required conversion to open cholecystectomy (4.8%). These patients had significantly higher scores (mean 6.9 versus -7.2, P <0.001). Increasing scores resulted with significant increases in conversion rates and probabilities (P <0.001). Ideal cut-off point for this score was -3; conversion rate was 1.6% under -3, but 11.4% over this value (P <0.001).
CONCLUSIONS: Conversion risk can be predicted easily by this score. Patients having high risk may be informed and scheduled appropriately. An experienced surgeon has to operate on these patients, and he or she has to make an early decision to convert in case of difficulty.

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Year:  2001        PMID: 11513777     DOI: 10.1016/s0002-9610(01)00633-x

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  42 in total

1.  Outcome of laparoscopic cholecystectomy conversion: is the surgeon's selection needed?

Authors:  Sandra C Donkervoort; Lea M Dijksman; Lincey C F de Nes; Pieter G Versluis; Joris Derksen; Michael F Gerhards
Journal:  Surg Endosc       Date:  2012-03-08       Impact factor: 4.584

2.  The analysis of 146 patients with difficult laparoscopic cholecystectomy.

Authors:  Orhan Bat
Journal:  Int J Clin Exp Med       Date:  2015-09-15

3.  Implementation of a scoring system for assessing difficult cholecystectomies in a single center.

Authors:  Nurullah Bulbuller; Yavuz Selim Ilhan; Ahmet Baktir; Cuneyt Kirkil; Osman Dogru
Journal:  Surg Today       Date:  2006       Impact factor: 2.549

4.  Opening the "black box" of surgeons' risk estimation: from intuition to quantitative modeling.

Authors:  Nick Sevdalis; Rosamond Jacklin
Journal:  World J Surg       Date:  2008-02       Impact factor: 3.352

5.  A Retrospective and Prospective Study to Develop a Pre-operative Difficulty Score for Laparoscopic Cholecystectomy.

Authors:  Yousef Ibrahim; Rami W Radwan; Ali Adel Ne'ma Abdullah; Mohamed Sherif; Usman Khalid; James Ansell; Ashraf Rasheed
Journal:  J Gastrointest Surg       Date:  2018-05-29       Impact factor: 3.452

6.  Preoperative prediction of difficult lap chole: a scoring method.

Authors:  Jaskiran S Randhawa; Aswini K Pujahari
Journal:  Indian J Surg       Date:  2009-09-02       Impact factor: 0.656

7.  Sex differences in laparoscopic cholecystectomy.

Authors:  Simon E Thesbjerg; Kirstine M Harboe; Linda Bardram; Jacob Rosenberg
Journal:  Surg Endosc       Date:  2010-05-07       Impact factor: 4.584

8.  Male gender is not a risk factor for the outcome of laparoscopic cholecystectomy: a single surgeon experience.

Authors:  Abdulmohsen A Al-Mulhim
Journal:  Saudi J Gastroenterol       Date:  2008-04       Impact factor: 2.485

9.  Total oxidant status, total antioxidant status, and paraoxonase and arylesterase activities during laparoscopic cholecystectomy.

Authors:  Hande Koksal; Sevil Kurban
Journal:  Clinics (Sao Paulo)       Date:  2010-03       Impact factor: 2.365

10.  Prediction of conversion of laparoscopic cholecystectomy to open surgery with artificial neural networks.

Authors:  Changiz Gholipour; Mohammad Bassir Abolghasemi Fakhree; Rosita Alizadeh Shalchi; Mehrshad Abbasi
Journal:  BMC Surg       Date:  2009-08-21       Impact factor: 2.102

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