Literature DB >> 23133154

Preoperative prediction of difficult lap chole: a scoring method.

Jaskiran S Randhawa1, Aswini K Pujahari.   

Abstract

BACKGROUND: Laparoscopic cholecystectomy (LC) has become the procedure of choice for management of symptomatic gallstone disease. At times it is easy and can be done quickly. Occasionally it is difficult and takes longer time. But there is no scoring system available to predict the degree of difficulty of LC preoperatively. AIM: To develop a scoring method to predict difficult LC preoperatively.
MATERIALS AND METHODS: There were 228 cases in 2 years, operated by a single experienced surgeon. There are total 15 score from history, clinical, sonological findings. Score up to 5 predicted easy, 6-10 difficult and >10 are very difficult.
RESULTS: Prediction came true in 88.8% for easy and 92% difficult cases there were no cases with score above 10. The factors like BMI > 27.5 (p < 0.010), previous hospitalization (p < 0.001), palpable GB (p < 0.01) US-Thick-walled GB (p < 0.038) are found of statistical significance in predicting difficult LC.
CONCLUSION: The proposed scoring system is reliable with a sensitivity and specificity of 75.00% and 90.24%, respectively.

Entities:  

Keywords:  Difficult; Lap chole; Prediction; Scoring

Year:  2009        PMID: 23133154      PMCID: PMC3452633          DOI: 10.1007/s12262-009-0055-y

Source DB:  PubMed          Journal:  Indian J Surg        ISSN: 0973-9793            Impact factor:   0.656


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  19 in total

1.  Preoperative prediction difficult laparoscopic cholecystectomy.

Authors:  Arun Prasad
Journal:  Indian J Surg       Date:  2010-11-16       Impact factor: 0.656

2.  Day Care vs Overnight Stay after Laparoscopic Cholecystectomy even with Co-morbidity and a Possible Second Surgery: A Patient's Choice.

Authors:  Aswini Kumar Pujahari
Journal:  J Clin Diagn Res       Date:  2016-10-01

3.  Laparoscopic Liver Resection Difficulty Score-a Validation Study.

Authors:  Ser Yee Lee; Brian K P Goh; Gholami Sepideh; John C Allen; Ryan P Merkow; Jin Yao Teo; Deepa Chandra; Ye Xin Koh; Ek Khoon Tan; Juinn Haur Kam; Peng Chung Cheow; Pierce K H Chow; London L P J Ooi; Alexander Y F Chung; Michael I D'Angelica; William R Jarnagin; T Peter Kingham; Chung Yip Chan
Journal:  J Gastrointest Surg       Date:  2018-11-12       Impact factor: 3.452

4.  Risk factors and consequences of conversion to open surgery in laparoscopic common bile duct exploration.

Authors:  Bin Xu; Yu-Xiang Wang; Yong-Xin Qiu; Hong-Bo Meng; Jian Gong; Wei Sun; Bo Zhou; Jian He; Ti Zhang; Wen-Yan Zheng; Zhen-Shun Song
Journal:  Surg Endosc       Date:  2018-07-09       Impact factor: 4.584

5.  Preoperative risk factors for conversion from laparoscopic to open cholecystectomy: a validated risk score derived from a prospective U.K. database of 8820 patients.

Authors:  Robert P Sutcliffe; Marianne Hollyman; James Hodson; Glenn Bonney; Ravi S Vohra; Ewen A Griffiths
Journal:  HPB (Oxford)       Date:  2016-08-31       Impact factor: 3.647

6.  VALIDATION OF A SCORING SYSTEM TO PREDICT DIFFICULT LAPAROSCOPIC CHOLECYSTECTOMY: A ONE-YEAR CROSS-SECTIONAL STUDY.

Authors:  N Veerank; M D Togale
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7.  Preoperative Prediction of Difficult Laparoscopic Cholecystectomy: A Scoring Method.

Authors:  Nikhil Agrawal; Sumitoj Singh; Sudhir Khichy
Journal:  Niger J Surg       Date:  2015 Jul-Dec

8.  A comprehensive predictive scoring method for difficult laparoscopic cholecystectomy.

Authors:  Mittalgodu Anantha Krishna Murthy Vivek; Alfred Joseph Augustine; Ranjith Rao
Journal:  J Minim Access Surg       Date:  2014-04       Impact factor: 1.407

9.  A risk score to predict the difficulty of elective laparoscopic cholecystectomy.

Authors:  Marek Soltes; Jozef Radoňak
Journal:  Wideochir Inne Tech Maloinwazyjne       Date:  2014-12-15       Impact factor: 1.195

10.  Grading operative findings at laparoscopic cholecystectomy- a new scoring system.

Authors:  Michael Sugrue; Shaheel M Sahebally; Luca Ansaloni; Martin D Zielinski
Journal:  World J Emerg Surg       Date:  2015-03-08       Impact factor: 5.469

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