Comparative analysis of P-POSSUM score at admission and pre-operatively in predicting postoperative mortality in patients undergoing emergency laparotomy

Author:

Roy Vivek Kumar1ORCID,Kumar Mukesh,Sinha Saumya,Gopal Krishna,Roy Sukalyan Saha2

Affiliation:

1. Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India

2. I

Abstract

Laprotomy remains one of the commonest emergency surgical procedure performed worldwide. But over the last few years, various perioperative quality improvement initiatives involving early interventions, intensive postoperative care, and indivisualised care approaches have ensured a decrease in the average mortality rate by 3.8%-8.3. An ideal scoring system should accurately predict outcomes, help determine who deserves more aggressive care, guide in deciding the extensiveness of surgery, and can be used broadly access emergency laprotomies for various disease pathologies. The scoring system should also be capable of analyzing risk adjusted morbidity and mortality amongst various healthcare providers. To access the accuracy of P-POSSUM score on predicting the mortality and morbidity in emergency laparotomy patients and to establish that the preoperative score is more accurate that admission score. 150 Cases of emergency laparotomy in General Surgery Department in IGIMS, Patna from September, 2020 to February, 2022 were taken up in this study. Patients below 18 years, routine surgery and 6 patients who could not be followed up for complete 30 days were excluded. Physiological P-POSSUM was calculated at the time of admission and just before operation, post resuscitation. Operative score was same for both Physiological P-POSSUM scores. Mortality predicted at admission had statistically significant difference and p value was<0 xss=removed>.05. Most common complication was wound infection followed by septicaemia. P-POSSUM is a better predictor of mortality and morbidity in emergency laparotomies when scoring is done preoperatively.

Publisher

IP Innovative Publication Pvt Ltd

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3