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在坦桑尼亚成年人中使用临床标准对艾滋病毒/艾滋病进行诊断和筛查。

Diagnosis and screening of HIV/AIDS using clinical criteria in Tanzanian adults.

作者信息

Miller W C, Thielman N M, Swai N, Cegielski J P, Shao J, Manyenga D, Mlalasi J, Lallinger G J

机构信息

Division of Infectious Diseases and International Health, Duke University Medical Center, Durham, NC 27710, USA.

出版信息

J Acquir Immune Defic Syndr Hum Retrovirol. 1995 Aug 1;9(4):408-14.

PMID:7600109
Abstract

The clinical utility of the World Health Organization (WHO) clinical case definition (CCD) of acquired immune deficiency syndrome (AIDS) in Africa, several proposed modifications of the WHO CCD, and two proposed screening algorithms for human immunodeficiency virus (HIV) infection were examined in adult medical inpatients in Dar es Salaam, Tanzania. Sensitivity, specificity, and positive and negative predictive values were determined for the CCDs and screening algorithms. Multivariable analysis identified factors with high accuracy for HIV infection. Of 223 patients enrolled in the study, 95 were seropositive for HIV infection. The WHO CCD and the modified CCDs had low sensitivities (14.7-32.6%) but high specificities (95.3-99.2%) and positive predictive values (83.8-94.7%). The screening algorithms had moderate sensitivities (66.3-77.9%) and poor specificities (46.1-79.7%). Multivariable analysis consistently identified oral candidiasis and lymphadenopathy as the best predictors of HIV infection. Although patients with asymptomatic or early HIV infection may be missed by clinical criteria, in a high prevalence population, AIDS may be diagnosed accurately clinically because of the effect of prevalence on the positive predictive values of the CCDs. Furthermore, selection of patients for HIV serologic testing may be guided by simple combinations of clinical features.

摘要

在坦桑尼亚达累斯萨拉姆的成年内科住院患者中,对世界卫生组织(WHO)获得性免疫缺陷综合征(AIDS)临床病例定义(CCD)在非洲的临床实用性、WHO CCD的几种提议修改版本以及两种提议的人类免疫缺陷病毒(HIV)感染筛查算法进行了研究。确定了这些CCD和筛查算法的敏感性、特异性以及阳性和阴性预测值。多变量分析确定了对HIV感染具有高准确性的因素。在纳入该研究的223名患者中,95名HIV感染血清学检测呈阳性。WHO CCD和修改后的CCD敏感性较低(14.7 - 32.6%),但特异性较高(95.3 - 99.2%)以及阳性预测值较高(83.8 - 94.7%)。筛查算法具有中等敏感性(66.3 - 77.9%)和较差的特异性(46.1 - 79.7%)。多变量分析一致确定口腔念珠菌病和淋巴结病是HIV感染的最佳预测指标。尽管根据临床标准可能会遗漏无症状或早期HIV感染患者,但在高流行率人群中,由于流行率对CCD阳性预测值的影响,临床上可能准确诊断出AIDS。此外,可通过简单的临床特征组合来指导选择进行HIV血清学检测的患者。

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