Suppr超能文献

急性肾损伤亚表型的识别。

Identification of acute kidney injury subphenotypes.

作者信息

Endre Zoltan H, Mehta Ravindra L

机构信息

Department of Nephrology, Prince of Wales Hospital and Clinical School, University of New South Wales, Sydney, New South Wales, Australia.

Division of Nephrology, Department of Medicine, University of California San Diego, San Diego, California, USA.

出版信息

Curr Opin Crit Care. 2020 Dec;26(6):519-524. doi: 10.1097/MCC.0000000000000772.

Abstract

PURPOSE OF REVIEW

AKI is a complex clinical syndrome with many causes and there is a broad range of clinical presentations that vary according to duration, severity and context. Established consensus definitions of AKI are nonspecific and limited to kidney function. This reduces treatment options to generic approaches rather than individualized, cause-based strategies that have limited both understanding and management of AKI.

RECENT FINDINGS

The context and the temporal phase of kidney injury are critical features in the course of AKI and critical to timing-relevant intervention. These features are missing in generic definitions and terms used to describe AKI. Subphenotypes of AKI can be identified from novel damage biomarkers, from functional changes including creatinine trajectories, from the duration of change and from associated clinical characteristics and comorbidities. Subphenotype parameters can be combined in risk scores, or by association strategies ranging from a simple function-damage matrix to complex methods, such as machine learning. Examples of such strategies are reviewed along with tentative proposals for a revised nomenclature to facilitate description of AKI subphenotypes.

SUMMARY

Appropriate intervention requires refinement of the nomenclature of AKI to identify subphenotypes that facilitate correctly timed and selectively targeted intervention.

摘要

综述目的

急性肾损伤(AKI)是一种病因多样的复杂临床综合征,其临床表现广泛,会因持续时间、严重程度和背景情况而有所不同。已确立的AKI共识定义不具有特异性,且仅限于肾功能方面。这使得治疗方案局限于通用方法,而非基于个体病因的策略,从而限制了对AKI的理解和管理。

最新发现

肾损伤的背景和时间阶段是AKI病程中的关键特征,对于时机相关的干预至关重要。这些特征在用于描述AKI的通用定义和术语中并不存在。可以从新的损伤生物标志物、包括肌酐变化轨迹在内的功能变化、变化持续时间以及相关临床特征和合并症中识别出AKI的亚表型。亚表型参数可纳入风险评分,或通过从简单的功能-损伤矩阵到复杂方法(如机器学习)的关联策略进行整合。本文回顾了此类策略的实例,并对修订命名法提出了初步建议,以促进对AKI亚表型的描述。

总结

适当的干预需要完善AKI的命名法,以识别有助于正确把握时机和进行选择性靶向干预的亚表型。

相似文献

1
Identification of acute kidney injury subphenotypes.急性肾损伤亚表型的识别。
Curr Opin Crit Care. 2020 Dec;26(6):519-524. doi: 10.1097/MCC.0000000000000772.
6
Subphenotypes of acute kidney injury in children.儿童急性肾损伤的亚表型。
Curr Opin Crit Care. 2022 Dec 1;28(6):590-598. doi: 10.1097/MCC.0000000000000986. Epub 2022 Sep 28.
7
Personalized acute kidney injury treatment.个性化急性肾损伤治疗。
Curr Opin Crit Care. 2023 Dec 1;29(6):551-558. doi: 10.1097/MCC.0000000000001089. Epub 2023 Oct 6.
9
Subphenotypes in acute kidney injury: a narrative review.急性肾损伤的亚表型:综述。
Crit Care. 2022 Aug 19;26(1):251. doi: 10.1186/s13054-022-04121-x.

引用本文的文献

2
Integration of artificial intelligence and multi-omics in kidney diseases.人工智能与多组学在肾脏疾病中的整合
Fundam Res. 2022 Mar 16;3(1):126-148. doi: 10.1016/j.fmre.2022.01.037. eCollection 2023 Jan.
6
Acute kidney injury.急性肾损伤
Intensive Care Med. 2023 Feb;49(2):219-222. doi: 10.1007/s00134-022-06946-0. Epub 2023 Jan 2.

本文引用的文献

3
Guiding Clinical Decisions Through Predictive Risk Rules.通过预测风险规则指导临床决策。
JAMA Netw Open. 2020 Aug 3;3(8):e2013101. doi: 10.1001/jamanetworkopen.2020.13101.
9
The ongoing search for a robust clinical prediction model of ICU AKI.
Clin Nephrol. 2020 Mar;93(3):160-162. doi: 10.5414/CN109968.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验