Back to Search
Start Over
Management of iatrogenic bile duct injuries: Multiple logistic regression analysis of predictive factors affecting morbidity and mortality.
- Source :
-
Turkish journal of surgery [Turk J Surg] 2018 Aug 28; Vol. 34 (4), pp. 264-270. Date of Electronic Publication: 2018 Aug 28. - Publication Year :
- 2018
-
Abstract
- Objective: Iatrogenic bile duct injuries remain a challenge for the surgeons to overcome. The predictive factors affecting morbidity and mortality are important for determining the best management modality.<br />Material and Methods: The patients who referred to Ege University Faculty of Medicine after laparoscopy associated iatrogenic bile duct injury are grouped according to Strasberg-Bismuth classification system. The type and number of prior attempts, concomitant complications, and treatment modalities are analyzed using the SPSS version 18 (IBM, Chicago, IL, USA). The variables with p<0.10 were considered for univariate analysis and then evaluated for predictive factors by forward Logistic Regression method using multiple logistic regression analysis.<br />Results: According to the analysis of 105 patients who were referred during 2004-2014, the type and number of prior attempts are considered predictive factors in sepsis. In multiple logistic regression analysis, abscess formation, concomitant vascular injury, and serum bilirubin level are significantly effective in predicting mortality.<br />Conclusion: The management of iatrogenic bile duct injuries should be carefully planned with a multidisciplinary approach. The predictive factors affecting morbidity and mortality are important in determining the best modality for managing iatrogenic bile duct injuries. Abscess formation, vascular injury, and serum bilirubin level are the potential risk factors. Therefore, we can strongly recommend immediate assessment of patients for prompt diagnosis and referring to an HPB center, to avoid further injuries.
Details
- Language :
- English
- ISSN :
- 2564-6850
- Volume :
- 34
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Turkish journal of surgery
- Publication Type :
- Academic Journal
- Accession number :
- 30216168
- Full Text :
- https://doi.org/10.5152/turkjsurg.2018.3888