[基于肾小球参数(白蛋白尿和尿 IgG)定量检测的蛋白尿分型算法评估]。

Ihsane Benlyamani, Nathalie Rousseau, Christine Lombard, Emmanuel Villar, Matthieu Pecquet
{"title":"[基于肾小球参数(白蛋白尿和尿 IgG)定量检测的蛋白尿分型算法评估]。","authors":"Ihsane Benlyamani, Nathalie Rousseau, Christine Lombard, Emmanuel Villar, Matthieu Pecquet","doi":"10.1684/abc.2024.1887","DOIUrl":null,"url":null,"abstract":"<p><p>The first orientation test for proteinuria typing is electrophoresis. However, this technique has several drawbacks, such as delayed turnaround time and subjective readings. Some laboratories therefore use quantitative assays of glomerular markers combined with tubular markers. However, the cost of reagents and the instability of certain markers are significant drawbacks for some peripheral laboratories. The aim of this study is to evaluate the implementation of an algorithm based on parameters that can be used by all laboratories for proteinuria typing within a timeframe compatible with the urgency of the situation. Albuminuria and urinary IgG were determined on 161 urines. ROC curves were produced, using urine electrophoresis read by an expert center as the reference method. The decision thresholds used are: glomerular proteinuria is defined by a Albumin+IgGproteinsratio greater than 75.4% (100% specificity), and tubular or overload proteinuria is defined by by a Albuminproteinsratio less than 37.3% (100% sensitivity). Agreement between the results of the algorithm selected and the reference method used in our study was 88 %, with a kappa value of 0.807 (95% CI [0.729 to 0.885]). The algorithm's performance suggests that it can find its place in the diagnostic strategy for clinically significant proteinuria, despite its limited indications. It is up to each biologist to assess the value of this algorithm in relation to the recruitment, habits and needs of clinicians.</p>","PeriodicalId":93870,"journal":{"name":"Annales de biologie clinique","volume":"82 2","pages":"201-213"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Evaluation of an algorithm based on quantitative assays of glomerular parameters (albuminuria and urinary IgG) for proteinuria typing].\",\"authors\":\"Ihsane Benlyamani, Nathalie Rousseau, Christine Lombard, Emmanuel Villar, Matthieu Pecquet\",\"doi\":\"10.1684/abc.2024.1887\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The first orientation test for proteinuria typing is electrophoresis. However, this technique has several drawbacks, such as delayed turnaround time and subjective readings. Some laboratories therefore use quantitative assays of glomerular markers combined with tubular markers. However, the cost of reagents and the instability of certain markers are significant drawbacks for some peripheral laboratories. The aim of this study is to evaluate the implementation of an algorithm based on parameters that can be used by all laboratories for proteinuria typing within a timeframe compatible with the urgency of the situation. Albuminuria and urinary IgG were determined on 161 urines. ROC curves were produced, using urine electrophoresis read by an expert center as the reference method. The decision thresholds used are: glomerular proteinuria is defined by a Albumin+IgGproteinsratio greater than 75.4% (100% specificity), and tubular or overload proteinuria is defined by by a Albuminproteinsratio less than 37.3% (100% sensitivity). Agreement between the results of the algorithm selected and the reference method used in our study was 88 %, with a kappa value of 0.807 (95% CI [0.729 to 0.885]). The algorithm's performance suggests that it can find its place in the diagnostic strategy for clinically significant proteinuria, despite its limited indications. It is up to each biologist to assess the value of this algorithm in relation to the recruitment, habits and needs of clinicians.</p>\",\"PeriodicalId\":93870,\"journal\":{\"name\":\"Annales de biologie clinique\",\"volume\":\"82 2\",\"pages\":\"201-213\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annales de biologie clinique\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1684/abc.2024.1887\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annales de biologie clinique","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1684/abc.2024.1887","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

蛋白尿分型的第一种定向检测方法是电泳。然而,这种技术有几个缺点,如周转时间延迟和读数主观。因此,一些实验室采用肾小球标记物与肾小管标记物相结合的定量检测方法。然而,试剂的成本和某些标记物的不稳定性是一些外围实验室的重大缺陷。本研究的目的是评估一种基于参数的算法的实施情况,这种算法可在符合紧急状况的时限内被所有实验室用于蛋白尿分型。对 161 份尿液进行了白蛋白尿和尿 IgG 检测。以专家中心读取的尿电泳结果为参照方法,绘制了 ROC 曲线。使用的判定阈值是:肾小球性蛋白尿的定义是白蛋白+IgG 蛋白比率大于 75.4%(特异性 100%),肾小管性或超负荷蛋白尿的定义是白蛋白比率小于 37.3%(灵敏度 100%)。所选算法的结果与我们研究中使用的参考方法之间的一致性为 88%,卡帕值为 0.807(95% CI [0.729 至 0.885])。该算法的表现表明,尽管其适应症有限,但仍可在临床重大蛋白尿的诊断策略中占有一席之地。应由每位生物学家根据临床医生的招聘、习惯和需求来评估该算法的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
[Evaluation of an algorithm based on quantitative assays of glomerular parameters (albuminuria and urinary IgG) for proteinuria typing].

The first orientation test for proteinuria typing is electrophoresis. However, this technique has several drawbacks, such as delayed turnaround time and subjective readings. Some laboratories therefore use quantitative assays of glomerular markers combined with tubular markers. However, the cost of reagents and the instability of certain markers are significant drawbacks for some peripheral laboratories. The aim of this study is to evaluate the implementation of an algorithm based on parameters that can be used by all laboratories for proteinuria typing within a timeframe compatible with the urgency of the situation. Albuminuria and urinary IgG were determined on 161 urines. ROC curves were produced, using urine electrophoresis read by an expert center as the reference method. The decision thresholds used are: glomerular proteinuria is defined by a Albumin+IgGproteinsratio greater than 75.4% (100% specificity), and tubular or overload proteinuria is defined by by a Albuminproteinsratio less than 37.3% (100% sensitivity). Agreement between the results of the algorithm selected and the reference method used in our study was 88 %, with a kappa value of 0.807 (95% CI [0.729 to 0.885]). The algorithm's performance suggests that it can find its place in the diagnostic strategy for clinically significant proteinuria, despite its limited indications. It is up to each biologist to assess the value of this algorithm in relation to the recruitment, habits and needs of clinicians.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Complementarity between Bayesian Internal Quality Control results management and External Quality Assessment bivariate z-score analysis: application to a concrete case study. [Can TDABC (Time-Driven Activity-Based Costing) help the NOVO hospital's medical biology laboratory to value the appropriate prescription? - Role of the biologist in reducing healthcare costs]. [Clinical associations of anti-Jo1 antibodies in a Moroccan population]. [Clinical-biological approaches to the spectrophotometric detection of oxyhemoglobin and bilirubin in CSF in the management of aneurysmal subarachnoid hemorrhage]. [Evaluation of the CellaVision® DM-1200 system for detecting and quantifying schistocytes].
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1