Suppr超能文献

用于检测哮喘患者家中屋尘螨的Acarex R检测法与Der p 1酶联免疫吸附测定法的比较。

Comparison between the Acarex R test and a Der p 1 ELISA for the detection of house-dust mites in the homes of asthma sufferers.

作者信息

Manjra A, Berman D, Weinberg E G, Gous E, Potter P C

机构信息

Allergy Clinic, Red Cross Children's Hospital, Cape Town.

出版信息

S Afr Med J. 1994 Apr;84(4):220-2.

PMID:7974046
Abstract

Exposure to house-dust mite allergens in early childhood is an important determinant of the subsequent development of asthma. The Acarex R semi-quantitative test (Noristan) is marketed for use in patients' homes to assess mite levels in house dust. In order to evaluate the reliability of the test in a coastal area where house-dust mites are known to be prevalent, house-dust mite levels were estimated in 119 dust samples obtained from the homes of asthmatic children in a comparative study, by means of the Acarex R test and a Der p 1 enzyme-linked immunosorbent assay (ELISA). A linear regression of the 4 Acarex classes against log Der p 1 revealed a significant correlation (P = 0,0001) but there was a poor correlation between low Acarex R scores and the Der p 1 allergen levels determined by ELISA. Acarex R scores of 2 and 3 were usually associated with Der p 1 levels greater than 10 micrograms/g dust. Our studies indicate that the Acarex R test will identify high levels of mite allergens. Although its application may be limited in coastal areas such as the Cape Peninsula, it may be more useful inland, in climates where house-dust mites are not commonly encountered in all homes.

摘要

儿童早期接触屋尘螨过敏原是随后发生哮喘的一个重要决定因素。Acarex R半定量检测(诺里斯坦公司)在市场上销售,供患者在家中使用,以评估屋尘中的螨虫水平。为了评估该检测在已知屋尘螨普遍存在的沿海地区的可靠性,在一项对比研究中,通过Acarex R检测和Der p 1酶联免疫吸附测定(ELISA),对从哮喘儿童家中采集的119份灰尘样本中的屋尘螨水平进行了估计。对Acarex的4个类别与Der p 1对数进行线性回归分析,结果显示具有显著相关性(P = 0.0001),但Acarex R低得分与ELISA测定的Der p 1过敏原水平之间的相关性较差。Acarex R得分为2和3通常与Der p 1水平大于10微克/克灰尘相关。我们的研究表明,Acarex R检测能够识别出高水平的螨虫过敏原。尽管其应用在开普半岛等沿海地区可能受到限制,但在屋尘螨并非在所有家庭中都常见的内陆气候地区,它可能更有用。

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