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预测晚期慢性肾脏病患者的肾衰竭、心血管疾病及死亡情况

Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients.

作者信息

Ramspek Chava L, Boekee Rosemarijn, Evans Marie, Heimburger Olof, Snead Charlotte M, Caskey Fergus J, Torino Claudia, Porto Gaetana, Szymczak Maciej, Krajewska Magdalena, Drechsler Christiane, Wanner Christoph, Chesnaye Nicholas C, Jager Kitty J, Dekker Friedo W, Snoeijs Maarten G J, Rotmans Joris I, van Diepen Merel

机构信息

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.

Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden.

出版信息

Kidney Int Rep. 2022 Aug 2;7(10):2230-2241. doi: 10.1016/j.ekir.2022.07.165. eCollection 2022 Oct.

Abstract

INTRODUCTION

Predicting the timing and occurrence of kidney replacement therapy (KRT), cardiovascular events, and death among patients with advanced chronic kidney disease (CKD) is clinically useful and relevant. We aimed to externally validate a recently developed CKD G4+ risk calculator for these outcomes and to assess its potential clinical impact in guiding vascular access placement.

METHODS

We included 1517 patients from the European Quality (EQUAL) study, a European multicentre prospective cohort study of nephrology-referred advanced CKD patients aged ≥65 years. Model performance was assessed based on discrimination and calibration. Potential clinical utility for timing of referral for vascular access placement was studied with diagnostic measures and decision curve analysis (DCA).

RESULTS

The model showed a good discrimination for KRT and "death after KRT," with 2-year concordance (C) statistics of 0.74 and 0.76, respectively. Discrimination for cardiovascular events (2-year C-statistic: 0.70) and overall death (2-year C-statistic: 0.61) was poorer. Calibration was fairly accurate. Decision curves illustrated that using the model to guide vascular access referral would generally lead to less unused arteriovenous fistulas (AVFs) than following estimated glomerular filtration rate (eGFR) thresholds.

CONCLUSION

This study shows moderate to good predictive performance of the model in an older cohort of nephrology-referred patients with advanced CKD. Using the model to guide referral for vascular access placement has potential in combating unnecessary vascular surgeries.

摘要

引言

预测晚期慢性肾脏病(CKD)患者肾脏替代治疗(KRT)的时机和发生情况、心血管事件及死亡情况在临床上具有重要意义且很实用。我们旨在对最近开发的用于这些结局的CKD G4+风险计算器进行外部验证,并评估其在指导血管通路置入方面的潜在临床影响。

方法

我们纳入了来自欧洲质量(EQUAL)研究的1517例患者,该研究是一项针对年龄≥65岁的肾内科转诊晚期CKD患者的欧洲多中心前瞻性队列研究。基于区分度和校准对模型性能进行评估。采用诊断指标和决策曲线分析(DCA)研究该模型在指导血管通路置入转诊时机方面的潜在临床实用性。

结果

该模型对KRT和“KRT后死亡”显示出良好的区分度,2年一致性(C)统计量分别为0.74和0.76。对心血管事件(2年C统计量:0.70)和全因死亡(2年C统计量:0.61)的区分度较差。校准相当准确。决策曲线表明,与遵循估计肾小球滤过率(eGFR)阈值相比,使用该模型指导血管通路转诊通常会减少未使用的动静脉内瘘(AVF)。

结论

本研究表明该模型在一个年龄较大的肾内科转诊晚期CKD患者队列中具有中度至良好的预测性能。使用该模型指导血管通路置入转诊在减少不必要的血管手术方面具有潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/122b/9546766/1f4057b84e05/fx1.jpg

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