Perioperative risk assessment for emergency general surgery in those with multimorbidity or frailty.

IF 3.5 3区 医学 Q1 CRITICAL CARE MEDICINE
Yasmin Arda, Haytham M A Kaafarani
{"title":"Perioperative risk assessment for emergency general surgery in those with multimorbidity or frailty.","authors":"Yasmin Arda, Haytham M A Kaafarani","doi":"10.1097/MCC.0000000000001269","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>This review explores advances in risk stratification tools and their applicability in identifying and managing high-risk emergency general surgery (EGS) patients.</p><p><strong>Recent findings: </strong>Traditional risk assessment tools have several limitations when applied to complex EGS patients as comorbidities are generally treated in a binary, linear and sequential fashion. Additionally, some tools are only usable in the postoperative period, and some require multidisciplinary involvement and are not suitable in an emergency setting. Frailty in particular - for which there are multiple calculators-maladaptively influences outcomes. Artificial intelligence tools, such as the machine-learning-based POTTER calculator, demonstrate superior performance by addressing nonlinear interactions among patient factors, offering a dynamic and more accurate approach to risk prediction.</p><p><strong>Summary: </strong>Integrating advanced, data-driven risk assessment tools into clinical practice can help identify and manage high-risk patients as well as forecast outcomes for EGS patients. Such tools are intended to trigger preoperative interventions as well as discussions that ensure goal-concordant care, align expectations with anticipated outcomes and support both facility and patient-relevant outcomes.</p>","PeriodicalId":10851,"journal":{"name":"Current Opinion in Critical Care","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Critical Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/MCC.0000000000001269","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose of review: This review explores advances in risk stratification tools and their applicability in identifying and managing high-risk emergency general surgery (EGS) patients.

Recent findings: Traditional risk assessment tools have several limitations when applied to complex EGS patients as comorbidities are generally treated in a binary, linear and sequential fashion. Additionally, some tools are only usable in the postoperative period, and some require multidisciplinary involvement and are not suitable in an emergency setting. Frailty in particular - for which there are multiple calculators-maladaptively influences outcomes. Artificial intelligence tools, such as the machine-learning-based POTTER calculator, demonstrate superior performance by addressing nonlinear interactions among patient factors, offering a dynamic and more accurate approach to risk prediction.

Summary: Integrating advanced, data-driven risk assessment tools into clinical practice can help identify and manage high-risk patients as well as forecast outcomes for EGS patients. Such tools are intended to trigger preoperative interventions as well as discussions that ensure goal-concordant care, align expectations with anticipated outcomes and support both facility and patient-relevant outcomes.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Current Opinion in Critical Care
Current Opinion in Critical Care 医学-危重病医学
CiteScore
5.90
自引率
3.00%
发文量
172
审稿时长
6-12 weeks
期刊介绍: ​​​​​​​​​Current Opinion in Critical Care delivers a broad-based perspective on the most recent and most exciting developments in critical care from across the world. Published bimonthly and featuring thirteen key topics – including the respiratory system, neuroscience, trauma and infectious diseases – the journal’s renowned team of guest editors ensure a balanced, expert assessment of the recently published literature in each respective field with insightful editorials and on-the-mark invited reviews.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信