Evaluation of POSSUM Score for Outcome Prediction in Patients undergoing Major Gastrointestinal Surgery in Population of Central Nepal

N. Belbase, Sagar Khatiwada, Nishnata Koirala, Hari Prasad Upadhyay, Sushim Bhujel, B. Shah
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Abstract

Introduction: The POSSUM score is one of the several risk scores to predict postoperative morbidity and mortality in the surgical domain.This study was designed to assess the validity of POSSUM scoring system in patients undergoing gastrointestinal surgeries in our setup and to analyse the outcome and compare the observed and expected values. Methods: An analytical cross sectional study was conducted among 100 patients in the Department of Surgical Gastroenterology after taking ethical approval from COMS-IRC. Data was analysed using SPSS -20 via descriptive and inferential statistical tools. p-value <0.05 was considered statistical significant. Results: Using POSSUM score the expected morbidity was 54% and mortality was 21.47%.The observed morbidity was 54% and mortality was 13%. The observed to expected (O: E) morbidity was 1.03 and mortality was 0.61 and there was no statistically significant difference between observed and expected value. The area under curve for POSSUM mortality score was 0.896 and the sensitivity and specificity of POSSUM score to predict mortality was 93.2 and 83.9 respectively. Conclusions: POSSUM score is a good mathematical tool in predicting morbidity and mortality in patients undergoing gastrointestinal surgeries. Keywords: gastrointestinal surgeries; central Nepal; expected morbidity and mortality; observed morbidity and mortality; POSSUM score.
评价POSSUM评分对尼泊尔中部地区接受大胃肠手术患者预后的预测作用
简介:POSSUM评分是预测外科领域术后发病率和死亡率的几种风险评分之一。本研究旨在评估POSSUM评分系统在胃肠手术患者中的有效性,分析结果并比较观察值和期望值。方法:在获得COMS-IRC伦理批准后,对外科消化内科的100例患者进行了分析性横断面研究。数据分析采用SPSS -20,采用描述性和推理性统计工具。p值<0.05认为有统计学意义。结果:采用POSSUM评分法,预期发病率为54%,死亡率为21.47%。发病率为54%,死亡率为13%。实测值与期望值(O: E)的比值为1.03,死亡率为0.61,实测值与期望值的差异无统计学意义。POSSUM死亡率评分曲线下面积为0.896,预测死亡率的敏感性和特异性分别为93.2和83.9。结论:POSSUM评分是预测胃肠手术患者发病率和死亡率的良好数学工具。关键词:胃肠外科;尼泊尔中部;预期发病率和死亡率;观察到的发病率和死亡率;负鼠得分。
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