测试对照表明,在使用健康对照人群进行基于珠子的试验中,使用预定义的切断值,非HLA抗体阳性的高患病率
A Agrawal1, M Zuccarelli2, L L Wakefield2
1Division of Nephrology, Department of Medicine, McMaster University, Hamilton, Ontario, Canada; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United States of America; The William J von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, MN, United States of America.
Transplant immunology
|July 18, 2025
概括
在健康捐赠者中测量非HLA抗体显示出高患病率的阳性结果. 这表明目前的方法可能不是最佳的评估allograft功能障碍在患者队伍,需要进一步研究正常检测率.
科学领域:
- 免疫学 免疫学 免疫学
- 移植科学 移植科学
背景情况:
- 非HLA抗体对于评估全移植功能障碍至关重要.
- 在健康人群中确定基线抗体分布对于临床相关性至关重要.
- 一组男性,非输血献血者被选为低风险对照组.
研究的目的:
- 在健康人群中评估非HLA抗体的检测.
- 在对照队列中使用商业多重测试来评估抗体分布.
- 为非HLA抗体测量的临床应用提供信息.
主要方法:
- 分析了92名男性非输血献血者的样本.
- 使用33抗原复合商业试验检测抗体.
- 评估了制造商的截止门 (COT),并将其与本地产生的COT进行了比较.
主要成果:
- 很高比例的捐赠者 (93.5-98.9%) 检测出不同COT的三种或更多抗体.
- 每位捐赠者的中位数阳性抗体珠测试在7到13之间.
- 在制造商和本地产生的COT之间观察到的相关性很差 (r = 0.520到0.595).
结论:
- 健康队列中的高阳性率表明,在患病人群中进行非HLA抗体检测的潜在局限性.
- 目前的测试切断值可能不是最佳的临床相关性与全移植功能障碍.
- 需要进一步的研究来确定正常的检测率和完善测试应用.
相关概念视频
01:23Test for Homogeneity
The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can be stated as...
01:11Types of Hypothesis Testing
There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p ≠ 0.5.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p ≠ 0.5.