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A study of predictors for identification of risk of complications in patients with liver abscess
 
Satish Kumar R, Sathyanarayana B.A, Madhu Shankar L, Nataraj Naidu R, Amit Gupta M, Hemanth Vupputuri
Department of Surgery,
Kempegowda Institute of Medical
Sciences and Research Centre,
K R Road, VV Puram, Bangalore,
Karnataka- 560004, India.


Corresponding Author
: Dr. Satish Kumar R
Email: hemumbbs@gmail.com


Abstract

Background/Aims: Liver abscess is a significant health problem in developing countries and the complications associated with it are frequently fatal. Hence identification of these complications and anticipating the same will lead to reduction in the mortality and morbidity rate. Such a work will facilitate in identifying patients with risk of complications and will allow for planning of an early intervention. The aim of this study was to identify the predictors of risk of complications in patients with liver abscess. Materials and Methods: The data for this retrospective study was obtained from hospital records and included 100 patients diagnosed  to have solitary or multiple liver abscess. Complications were defined and history, lab and radiological findings and course of treatment were observed and analyzed in correlation with occurrence of complications. A predictive scoring system was designed for 15 points by giving two points to the factors with 100% correlation and one point to other factors with strong correlation. The score was applied to a validation cohort of 114 different patients and results were noted. Results: Out of the 100 cases studied 24 cases had complications of and the predictive factors included history of alcoholism (>10yrs), INR> 1.7 , TLC > 20000/cc and pleural effusion, while other factors had a varying degree of correlation with complication occurrence. It was observed that the new scoring system was successful in identifying patients at risk of developing complications with 100% sensitivity and 93.75% specificity.

Conclusion: Management of liver abscess can be clearly defined by dividing patients into categories depending upon a new scoring system described in the study and intervention can be planned.