Suppr超能文献

通过消除地高辛样免疫反应因子,改善了肾功能正常和肾功能衰竭患者地高辛检测结果的批间相关性。

Improved interassay correlation of digoxin results in patients with and without renal failure by elimination of digoxin-like immunoreactive factors.

作者信息

Skogen W F, Rea M R, Valdes R

出版信息

Clin Chem. 1987 Jun;33(6):837-9.

PMID:3594830
Abstract

Use of immunoassays that do not detect endogenous digoxin-like immunoreactive factors (DLIF) in serum significantly improves the between-assay correlation of digoxin results for patients. We investigated five different immunoassay methods (Abbott, Clinical Assays, Corning, Du Pont, and Syva), measuring digoxin by all five assays in sera from 38 patients in renal failure and in 40 patients with normal renal function, all taking digoxin. The mean standard error of the estimate (Sy X x) of digoxin results (compared for all five assays) were significantly lower for patients with normal renal function than for patients in renal failure (0.148 vs 0.293 microgram/L, P less than 0.001). Assays previously shown (Clin Chem 1987;33:401) to be the least sensitive to DLIF (Syva and Corning) gave the lowest mean scatter about the regression (Sy X x = 0.192 microgram/L, renal failure; 0.114 microgram/L, normal renal function) for all 10 assay correlations. Evidently, discrepancies between digoxin values as measured by different immunoassay kits for patients with renal disease can be attributed to DLIF. Moreover, because inaccurate digoxin results attributed to DLIF may not be limited exclusively to groups of patients with known increased concentrations of DLIF, the possibility of "latent" DLIF interference may be a problem in many other human subjects.

摘要

使用不检测血清中内源性地高辛样免疫反应因子(DLIF)的免疫测定法,可显著改善患者地高辛检测结果的批间相关性。我们研究了五种不同的免疫测定方法(雅培、临床检测、康宁、杜邦和西瓦),对38例肾衰竭患者和40例肾功能正常且均服用地高辛的患者的血清进行了所有这五种测定。肾功能正常患者地高辛检测结果的平均估计标准误(Sy X x)(对所有五种测定进行比较)显著低于肾衰竭患者(0.148对0.293微克/升,P<0.001)。先前已证明(《临床化学》1987年;33:401)对DLIF最不敏感的测定法(西瓦和康宁),在所有10次测定相关性中,回归平均散点最低(Sy X x = 0.192微克/升,肾衰竭;0.114微克/升,肾功能正常)。显然,不同免疫测定试剂盒对肾病患者测定的地高辛值之间的差异可归因于DLIF。此外,由于归因于DLIF的不准确地高辛检测结果可能并不局限于已知DLIF浓度升高的患者群体,“潜在”DLIF干扰的可能性在许多其他人群中可能是一个问题。

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