'CLINICAL STUDY OF CLAVIEN-DINDO CLASSIFICATION TO ASSESS THE GRADES OF COMPLICATION AND FACTORS RESPONSIBLE IN CASES OF GASTROINTESTINAL PERFORATIONS IN A TERTIARY CARE CENTRE'

Autor: Ankur Deshwali, Rajesh Sharma
Rok vydání: 2021
Předmět:
Zdroj: GLOBAL JOURNAL FOR RESEARCH ANALYSIS. :1-10
DOI: 10.36106/gjra/2410503
Popis: INTRODUCTION Perforation peritonitis is one of the most common surgical emergencies across the globe. Gastrointestinal perforations have very high morbidity and mortality rates, irrespective of the type of operative procedure performed. The Clavien-Dindo system is nowadays widely used for complications after surgery for grading adverse events (i.e. complications) which occur as a result of surgical procedures and has become the standard classification system for many surgical specialties for open as well as laparoscopic surgeries . In this study, an attempt is made to find out various preoperative and intra operative factors that may responsible for adverse outcome and to identify the best management that could decrease the complication rate with special reference to CLAVIEN-DINDO classification. MATERIALS AND METHODS We did an observational study of 60 perforation peritonitis patients admitted in Department of Surgery, Sri Aurobindo Medical College and Post Graduate Institute, Indore, M.P. between November 2017 to May 2019(1 and 1/2 Year) on the basis of Clavien-Dindo classification.All were studied with respect to clinical features, time of presentation, comorbid conditions, investigations, intervention done, operative findings and postoperative course and all the data was entered in preformed proforma RESULTS Total 60 patients of perforation peritonitis admitted and treated in the department, During the period of November 2017 to May 2019. End of the study concludes the following points: • In my study, most of the cases were between age group 20-39(50%). more common in males 41 (68.33%). who presented after 3 days from onset of symptoms 20 (33.33%) all of them had complications 20(100%). P Value was
Databáze: OpenAIRE