肾衰竭预后预测模型的开发和验证中多病和虚弱的表现:系统性综述。

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Heather Walker, Scott Day, Christopher H Grant, Catrin Jones, Robert Ker, Michael K Sullivan, Bhautesh Dinesh Jani, Katie Gallacher, Patrick B Mark
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引用次数: 0

摘要

背景:预后模型可确定慢性肾脏病(CKD)患者发生肾衰竭的最大风险,有助于临床医生做出决策并提供精准医疗。人们认识到,慢性肾脏病患者通常患有多种长期健康问题(多病症),而且经常体弱多病。我们进行了一项系统性回顾,以评估用于开发和/或验证评估肾衰竭风险的预后模型的 CKD 队列中多病和虚弱的代表性和考虑因素:我们在 MEDLINE、CINAHL Plus 和 Cochrane Library-CENTRAL 中查找了有关肾衰竭预后模型的推导、验证或更新的研究。主要结果是多病或虚弱的代表性。次要结果是已确定模型对多病症或虚弱的预测准确性:结果:共发现 97 项研究报告了 121 种不同的肾衰竭预后模型。其中两项研究报告了多病症患病率,一项研究报告了体弱患病率。更多的研究报告了特定合并症的发病率:67.0%的研究报告了糖尿病的基线数据,54.6%的研究报告了高血压,39.2%的研究报告了心血管疾病。没有研究将虚弱纳入模型开发,只有一项研究将多病作为预测变量。没有研究评估了与多病症相关的模型在人群中的表现。只有一项研究评估了虚弱与肾衰竭和死亡风险之间的关系:考虑到多病和/或虚弱影响的肾衰竭风险预测模型很少,导致针对多病或虚弱人群缺乏明确的循证实践。应探索这些知识空白,以帮助临床医生了解这些模型是否可用于多病和/或体弱的 CKD 患者:本综述已在 PROSPERO 上注册(CRD42022347295)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Representation of multimorbidity and frailty in the development and validation of kidney failure prognostic prediction models: a systematic review.

Background: Prognostic models that identify individuals with chronic kidney disease (CKD) at greatest risk of developing kidney failure help clinicians to make decisions and deliver precision medicine. It is recognised that people with CKD usually have multiple long-term health conditions (multimorbidity) and often experience frailty. We undertook a systematic review to evaluate the representation and consideration of multimorbidity and frailty within CKD cohorts used to develop and/or validate prognostic models assessing the risk of kidney failure.

Methods: We identified studies that described derivation, validation or update of kidney failure prognostic models in MEDLINE, CINAHL Plus and the Cochrane Library-CENTRAL. The primary outcome was representation of multimorbidity or frailty. The secondary outcome was predictive accuracy of identified models in relation to presence of multimorbidity or frailty.

Results: Ninety-seven studies reporting 121 different kidney failure prognostic models were identified. Two studies reported prevalence of multimorbidity and a single study reported prevalence of frailty. The rates of specific comorbidities were reported in a greater proportion of studies: 67.0% reported baseline data on diabetes, 54.6% reported hypertension and 39.2% reported cardiovascular disease. No studies included frailty in model development, and only one study considered multimorbidity as a predictor variable. No studies assessed model performance in populations in relation to multimorbidity. A single study assessed associations between frailty and the risks of kidney failure and death.

Conclusions: There is a paucity of kidney failure risk prediction models that consider the impact of multimorbidity and/or frailty, resulting in a lack of clear evidence-based practice for multimorbid or frail individuals. These knowledge gaps should be explored to help clinicians know whether these models can be used for CKD patients who experience multimorbidity and/or frailty.

Systematic review registration: This review has been registered on PROSPERO (CRD42022347295).

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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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