Utilisation of a national database to characterise renal function in patients with COVID19 infection

Nicholas R. Nelson, Nicholas Farina, Denise H. Rhoney, the N3C consortium
{"title":"Utilisation of a national database to characterise renal function in patients with COVID19 infection","authors":"Nicholas R. Nelson,&nbsp;Nicholas Farina,&nbsp;Denise H. Rhoney,&nbsp;the N3C consortium","doi":"10.1002/ctd2.70027","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Rationale</h3>\n \n <p>The incidence of renal function alterations among patients with COVID19 is unknown.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>To determine the incidence of acute kidney injury (AKI) or augmented renal clearance (ARC) in patients hospitalised with COVID19 and identify risk factors for patients who may exhibit each renal alteration.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Retrospective, observational cohort analysis of hospitalise, adult patients within the National COVID Cohort Collaborative (N3C) database with laboratory confirmed COVID19 and available data to calculate creatinine clearance using the Cockcroft–Gault equation from 1 January 2020 through 9 April 2022.</p>\n </section>\n \n <section>\n \n <h3> Measurements</h3>\n \n <p>Incidence of AKI or ARC and patient demographics.</p>\n </section>\n \n <section>\n \n <h3> Main results</h3>\n \n <p>15 608 patients were included for renal function characterisation where 20.9% experienced AKI and 34.8% exhibited ARC. ARC lasted longer than AKI; however, AKI was associated with increased hospital length of stay and mortality. 11 274 patients were included in logistic regression analysis. Height and White race were the only variables associated with decreased risk of AKI while male sex and diabetes were associated with increased risk. Male sex, Black race and hypertension were associated with decreased risk of ARC. Age was associated with decreased risk of both AKI and ARC while weight and Hispanic ethnicity were associated with increased risk in both renal alterations.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>A significant proportion of patients exhibit renal alterations during their hospitalisation for COVID19. These results provide initial evidence of identifying patients at risk of AKI or ARC, but more research is needed, especially with respect to use of biomarkers for renal alteration risk stratification.</p>\n </section>\n </div>","PeriodicalId":72605,"journal":{"name":"Clinical and translational discovery","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ctd2.70027","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and translational discovery","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ctd2.70027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Rationale

The incidence of renal function alterations among patients with COVID19 is unknown.

Objective

To determine the incidence of acute kidney injury (AKI) or augmented renal clearance (ARC) in patients hospitalised with COVID19 and identify risk factors for patients who may exhibit each renal alteration.

Methods

Retrospective, observational cohort analysis of hospitalise, adult patients within the National COVID Cohort Collaborative (N3C) database with laboratory confirmed COVID19 and available data to calculate creatinine clearance using the Cockcroft–Gault equation from 1 January 2020 through 9 April 2022.

Measurements

Incidence of AKI or ARC and patient demographics.

Main results

15 608 patients were included for renal function characterisation where 20.9% experienced AKI and 34.8% exhibited ARC. ARC lasted longer than AKI; however, AKI was associated with increased hospital length of stay and mortality. 11 274 patients were included in logistic regression analysis. Height and White race were the only variables associated with decreased risk of AKI while male sex and diabetes were associated with increased risk. Male sex, Black race and hypertension were associated with decreased risk of ARC. Age was associated with decreased risk of both AKI and ARC while weight and Hispanic ethnicity were associated with increased risk in both renal alterations.

Conclusions

A significant proportion of patients exhibit renal alterations during their hospitalisation for COVID19. These results provide initial evidence of identifying patients at risk of AKI or ARC, but more research is needed, especially with respect to use of biomarkers for renal alteration risk stratification.

Abstract Image

利用国家数据库表征covid - 19感染患者的肾功能
新冠肺炎患者肾功能改变的发生率尚不清楚。目的了解covid - 19住院患者急性肾损伤(AKI)或增强肾清除率(ARC)的发生率,并确定可能出现每种肾脏改变的患者的危险因素。方法回顾性、观察性队列分析国家COVID队列协作(N3C)数据库中具有实验室确诊COVID和现有数据的住院成年患者,使用Cockcroft-Gault方程计算2020年1月1日至2022年4月9日的肌酐清除率。AKI或ARC的发生率和患者人口统计学。主要结果15 608例患者纳入肾功能特征,其中20.9%为AKI, 34.8%为ARC。ARC持续时间长于AKI;然而,AKI与住院时间和死亡率增加有关。11 274例患者纳入logistic回归分析。身高和白种人是唯一与AKI风险降低相关的变量,而男性和糖尿病与风险增加相关。男性、黑人和高血压与ARC风险降低有关。年龄与AKI和ARC的风险降低有关,而体重和西班牙裔与两种肾脏改变的风险增加有关。结论有相当比例的患者在covid - 19住院期间出现肾脏改变。这些结果为识别有AKI或ARC风险的患者提供了初步证据,但需要更多的研究,特别是关于使用生物标志物进行肾脏改变风险分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.00
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信