Suppr超能文献

基于种族校正和未校正的肾小球滤过率估算值用于药物剂量调整:胱抑素 C 与血清肌酐。

Estimated glomerular filtration rate with and without race for drug dosing: Cystatin C vs. serum creatinine.

机构信息

Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.

Department of Pharmacy Services, Michigan Medicine, Ann Arbor, Michigan, USA.

出版信息

Br J Clin Pharmacol. 2023 Mar;89(3):1207-1210. doi: 10.1111/bcp.15592. Epub 2022 Nov 29.

Abstract

The goal of this study was to use a model kidney function clearance-dependent drug (vancomycin) to understand the gain or loss of precision in dosing with use of serum creatinine (S ), serum cystatin C (S ) and race and nonrace-based equations of the estimated glomerular filtration rate (eGFR). In this study of hospitalized patients, we compared S , S and their combination to estimate kidney function and vancomycin clearance. The nonrace-based S eGFR model outperformed other clearance models and improved the probability of target attainment by 15%. When S is not available, we show that the new 2021 CKD-EPI eGFR equation (no race factor) performs as well as the current conventional approach. This improvement in model performance does not negate the need for individualized dosing but exemplifies the need to remove race as a factor of kidney-function dose adjustment.

摘要

本研究的目的是使用一种模型肾脏功能清除率依赖型药物(万古霉素)来了解使用血清肌酐(S )、血清胱抑素 C(S )和基于种族和非种族的估计肾小球滤过率(eGFR)方程进行剂量调整时的精密度增益或损失。在这项住院患者研究中,我们比较了 S 、S 和它们的组合来估计肾功能和万古霉素清除率。非种族 S eGFR 模型优于其他清除率模型,将目标达标率提高了 15%。当 S 不可用时,我们表明新的 2021 CKD-EPI eGFR 方程(无种族因素)与当前的常规方法表现一样好。这种模型性能的提高并没有否定个体化给药的必要性,而是说明了需要消除种族作为肾脏功能剂量调整的一个因素。

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