Evaluating and improving current risk prediction tools in emergency laparotomy

医学 剖腹手术 统计的 急诊医学 风险评估 审计 人口 阿帕奇II 急诊科 重症监护医学 医疗急救 外科 重症监护室 统计 环境卫生 计算机科学 计算机安全 数学 管理 精神科 经济
作者
Ahmed Barazanchi,Sameer Bhat,Kate Palmer-Neels,Wiremu MacFater,Weisi Xia,Irene Zeng,Ashish Taneja,Andrew D. MacCormick,Andrew Hill
出处
期刊:The journal of trauma and acute care surgery [Lippincott Williams & Wilkins]
卷期号:89 (2): 382-387 被引量:30
标识
DOI:10.1097/ta.0000000000002745
摘要

PURPOSE Emergency laparotomy (EL) encompasses a high-risk group of operations, which are increasingly performed on a heterogeneous population of patients, making preoperative risk assessment potentially difficult. The UK National Emergency Laparotomy Audit (NELA) recently produced a risk predictive tool for EL that has not yet been externally validated. We aimed to externally validate and potentially improve the NELA tool for mortality prediction after EL. METHODOLOGY We reviewed computer and paper records of EL patients from May 2012 to June 2017 at Middlemore Hospital (New Zealand). The inclusion criteria mirrored the UK NELA. We examined the NELA, Portsmouth Physiological and Operative Severity Score for the enUmeration of Mortality (P-POSSUM), Acute Physiology and Chronic Health Evaluation II (APACHE-II), and American College of Surgeons National Surgical Quality Improvement Programs risk predictive tools for 30-day mortality. The Hosmer-Lemeshow test was used to assess calibration, and the c statistic, to evaluate discrimination (accuracy) of the tools. We added the modified frailty index (mFI) and nutrition to improve the accuracy of risk predictive tools. RESULTS A total of 758 patients met the inclusion criteria, with an observed 30-day mortality of 7.9%. The NELA was the only well calibrated tool, with predicted 30-day mortality of 7.4% ( p = 0.22). When combined with mFI and nutritional status, the c statistic for NELA improved from 0.83 to 0.88. American College of Surgeons National Surgical Quality Improvement Programs, APACHE-II, and P-POSSUM had lower c statistics, albeit also showing an improvement (0.84, 0.81, and 0.74, respectively). CONCLUSION We have demonstrated the NELA tool to be most predictive of mortality after EL. The NELA tool would therefore facilitate preoperative risk assessment and operative decision making most precisely in EL. Future research should consider adding mFI and nutritional status to the NELA tool. LEVEL OF EVIDENCE Level IV; Retrospective observational cohort study.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
在水一方应助Mercury采纳,获得10
2秒前
大喜完成签到,获得积分10
2秒前
可爱的函函应助nashanbei采纳,获得10
2秒前
4秒前
qiao发布了新的文献求助10
5秒前
Akim应助Ma_Fangru采纳,获得30
6秒前
7秒前
十月的天空完成签到,获得积分10
8秒前
9秒前
星星轨迹发布了新的文献求助10
11秒前
12秒前
钦林发布了新的文献求助10
15秒前
15秒前
16秒前
heheheli发布了新的文献求助10
16秒前
17秒前
在水一方应助车灵波采纳,获得10
17秒前
18秒前
FashionBoy应助xiaoxiaoz采纳,获得10
19秒前
舒适访风发布了新的文献求助10
19秒前
hmgdktf发布了新的文献求助10
20秒前
大木头发布了新的文献求助10
20秒前
21秒前
wj完成签到,获得积分10
21秒前
22秒前
23秒前
24秒前
24秒前
赵凌完成签到,获得积分10
26秒前
Shahid完成签到,获得积分20
26秒前
张 大头发布了新的文献求助10
27秒前
哩哩发布了新的文献求助10
27秒前
九木德完成签到 ,获得积分10
27秒前
脑洞疼应助XUAN采纳,获得10
27秒前
Mercury发布了新的文献求助10
29秒前
赵凌发布了新的文献求助10
29秒前
30秒前
孙意冉完成签到,获得积分10
32秒前
PATTOM发布了新的文献求助10
35秒前
35秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
计划经济时代的工厂管理与工人状况(1949-1966)——以郑州市国营工厂为例 500
INQUIRY-BASED PEDAGOGY TO SUPPORT STEM LEARNING AND 21ST CENTURY SKILLS: PREPARING NEW TEACHERS TO IMPLEMENT PROJECT AND PROBLEM-BASED LEARNING 500
Sociologies et cosmopolitisme méthodologique 400
Why America Can't Retrench (And How it Might) 400
Another look at Archaeopteryx as the oldest bird 390
Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4624923
求助须知:如何正确求助?哪些是违规求助? 4024171
关于积分的说明 12456546
捐赠科研通 3708857
什么是DOI,文献DOI怎么找? 2045726
邀请新用户注册赠送积分活动 1077723
科研通“疑难数据库(出版商)”最低求助积分说明 960238