Abstract
Introduction: Peptic ulcer perforation carries high mortality and morbidity. Boey’s score is shown to be a simple scoring system to help predict morbidity and mortality. This is a prospective observational study to evaluate the applicability of Boey’s score in predicting mortality and morbidity in Nepalese patients.
 Methods: This study was conducted in the Dept. of Surgery, Nepal Medical College and Teaching Hospital (NMCTH), Attarkhel, Jorpati between 1st of July 2012 to 30th June 2019 over a period of 7 years. This was a prospective observational study. All patients who underwent laparotomy for suspected peptic ulcer perforation peritonitis were included in the study.
 Results: Fourty-seven patients were included in the study. Male patients outnumbered females by a ratio of almost 4:1. Eighteen (38%) patients had Boey’s score of 1, and 7 (15 %) patients had a Boey’s score of 3. Overall postoperative mortality was 7 (15%). Boey’s score predicted morbidity and mortality with a p-value of <0.01. The length of hospital stay was also more in patients with a higher score and it was statistically significant.
 Conclusions: Boey’s score is both easy and effective in predicting postoperative morbidity, mortality and length of hospital stay.
Highlights
Peptic ulcer perforation carries high mortality and morbidity
The incidence of peptic ulcer perforation and bleeding rates has increased according to some studies and they attribute this to an aging population and increased NSAID use.[4,5,6]
This study was conducted in the Department of Surgery, Nepal Medical College and Teaching Hospital between 1st of July 2012 and 30th June 2019 for a period of 7 years
Summary
Peptic ulcer perforation carries high mortality and morbidity. Boey’s score is shown to be a simple scoring system to help predict morbidity and mortality. The incidence of peptic ulcer perforation and bleeding rates has increased according to some studies and they attribute this to an aging population and increased NSAID use.[4,5,6] Increasing age, associated comorbid conditions, presence of shock in the perioperative period and delayed presentation or management are associated with poor outcomes.[6] A simple effective predictive model can be a very useful tool in prognosticating and identifying patients at risk of increased morbidity and mortality. In 1987, Boey and colleagues introduced a simple preoperative risk stratification score They include the presence of major medical illness, preoperative shock, and perforation presenting after 24 hours or more.[7] In our study, we use Boey’s score to see if it is applicable in our population
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