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首页> 外文期刊>Transactions of the Royal Society of Tropical Medicine and Hygiene >Performance evaluation of automated depolarization analysis for detecting clinically unsuspected malaria in endemic countries.
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Performance evaluation of automated depolarization analysis for detecting clinically unsuspected malaria in endemic countries.

机译:自动去极化分析的性能评估,用于在流行国家中检测出临床上未怀疑的疟疾。

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摘要

This prospective study evaluated the efficiency of automated depolarization analysis for recognition of unsuspected malaria by haemozoin detection during routine full blood count (FBC) screening of 676 randomly selected out-patients in a malaria hypoendemic area of Senegal. An additional 123 patients with clinically suspected malaria were studied for comparison. Of the 799 samples, 648 (81.1%) were categorized as malaria-negative, 83 (10.4%) as malaria-positive, and 68 as treated (early convalescence) or subclinical malaria (indirect evidence of infection). At a discrimination level of one or more atypical pigment-containing monocytes (PCM), negative and positive agreement was found to be 95.6% and 91.6% respectively for all malaria-negative and parasite-positive samples combined. Increasing the discriminator to two or more PCM events improved the overall agreement to 97.5%. Multivariate analysis showed that the only significant risk factor for the presence of PCM (odds ratio>200) was malaria infection. In the randomly selected group of 676 patients, 41 unsuspected cases of malaria infection were detected using the panel of reference diagnostic tests, and 37 (90.2%) of these had atypical PCM. The detection of clinically unrecognized malaria infection as part of a routine FBC procedure is a potentially useful extended application for laboratories in countries with endemic malaria.
机译:这项前瞻性研究评估了在塞内加尔疟疾低流行地区的676名随机选择的门诊病人的常规全血细胞计数(FBC)筛查过程中,通过血细胞生成素检测对自动去极化分析识别未疑疟疾的效率。对另外123名临床怀疑的疟疾患者进行了研究以进行比较。在799个样本中,有648个(81.1%)被归为疟疾阴性,83个(10.4%)被归为疟疾阳性,有68个被划分为已治疗(早期恢复期)或亚临床疟疾(间接感染证据)。在一个或多个含非典型色素的单核细胞(PCM)的鉴别水平下,所有疟疾阴性和寄生虫阳性样本的总阴性和阳性一致性分别为95.6%和91.6%。将区分器增加到两个或多个PCM事件,使总体一致性提高到97.5%。多变量分析表明,存在PCM(比值> 200)的唯一重要危险因素是疟疾感染。在676例患者的随机选择组中,使用参考诊断测试小组检测到41例未怀疑的疟疾感染病例,其中37例(90.2%)具有非典型PCM。作为常规FBC程序的一部分,对临床上无法识别的疟疾感染的检测对于疟疾流行国家的实验室来说,可能是有用的扩展应用。

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