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多病症和虚弱在肾衰竭预后预测模型的开发和验证中的表现:系统评价。

Representation of multimorbidity and frailty in the development and validation of kidney failure prognostic prediction models: a systematic review.

机构信息

School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, Scotland.

Renal Department, NHS Grampian, Aberdeen, Scotland.

出版信息

BMC Med. 2024 Oct 11;22(1):452. doi: 10.1186/s12916-024-03649-9.

Abstract

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).

摘要

背景

识别出患有慢性肾脏病 (CKD) 且最有可能发生肾衰竭的个体的预后模型有助于临床医生做出决策和提供精准医疗。人们认识到,CKD 患者通常患有多种长期健康状况(共病),并且经常出现虚弱。我们进行了一项系统评价,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 队列中是否存在和/或考虑共病和虚弱。

方法

我们在 MEDLINE、CINAHL Plus 和 Cochrane Library-CENTRAL 中确定了描述肾衰竭预后模型的推导、验证或更新的研究。主要结局是共病或虚弱的代表性。次要结局是所识别模型与共病或虚弱存在相关的预测准确性。

结果

确定了 97 项报告 121 种不同肾衰竭预后模型的研究。两项研究报告了共病的患病率,一项研究报告了虚弱的患病率。在更大比例的研究中报告了特定合并症的发生率:67.0%报告了糖尿病的基线数据,54.6%报告了高血压,39.2%报告了心血管疾病。没有研究将虚弱纳入模型开发,只有一项研究将共病视为预测变量。没有研究评估与共病相关的模型在人群中的性能。一项研究评估了虚弱与肾衰竭和死亡风险之间的关联。

结论

缺乏考虑共病和/或虚弱影响的肾衰竭风险预测模型,导致缺乏针对共病或虚弱个体的明确循证实践。应探讨这些知识空白,以帮助临床医生了解这些模型是否可用于患有共病和/或虚弱的 CKD 患者。

系统评价注册

本综述已在 PROSPERO(CRD42022347295)上注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e31/11470573/34802f10013f/12916_2024_3649_Fig1_HTML.jpg

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