Evaluation of four scoring systems in prognostication of acute pancreatitis for elderly patients

Author:

Li YajieORCID,Zhang Jun,Zou Jihong

Abstract

Abstract Background To evaluate the ability of four scoring systems (Ranson, BISAP, Glasgow, and APACHE II) to predict outcomes of acute pancreatitis (AP) in elderly patients. Methods This was a retrospective study of 918 patients presenting with AP at Zhongda Hospital Southeast University, from January 2015 to December 2018. We divided patients into two groups: 368 patients who were ≥ 60 years old, and 550 patients who were < 60 years old. Four scoring systems were used to analyze all patients. Results The severity of the disease, and mortality were significantly different between the two groups (p < 0.05), while the difference between the two groups about pancreatic necrosis is statistically insignificant (p = 0.399). The differences of the AUCs (Area under curves) for prediction of outcome of SAP (severe acute pancreatitis) between the two groups were statistically significant for Ranson and APACHE II (p < 0.05), but not for the differences between BISAP and Glasgow. All the four scoring systems were similar in terms of prediction of pancreatic necrosis and death in both groups. Conclusions Prediction of severity, pancreatic necrosis, and death in AP for elderly patients can be performed very well by using BISAP. APACHE II is more suitable for younger patients when dealing with severity. Ranson and Glasgow can be used to evaluate all AP patients in most cases; however, Ranson is more effective for younger patients when used to assess severity.

Publisher

Springer Science and Business Media LLC

Subject

Gastroenterology,General Medicine

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