2020年8月至10月南非豪登省SARS-CoV-2哨点血清流行率

IF 1.2
J A George, S Khoza, E Mayne, S Dlamini, N Kone, W Jassat, K Chetty, C M Centner, T Pillay, M Maphayi, D Mabuza, I Maposa, N Cassim
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引用次数: 10

摘要

背景:大多数非洲国家缺乏用于跟踪COVID-19流行的抗sars - cov -2抗体阳性流行率(血清阳性率)估计。目的:确定在南非约翰内斯堡三级实验室接受常规检测的患者样本前哨队列中SARS-CoV-2抗体的流行情况。方法:这项哨点研究使用在约翰内斯堡市(CoJ)区的三个国家卫生实验室服务实验室收到的残余血清样本进行。收集时间为2020年8月1日至10月31日。我们提取了相关的糖化血红蛋白(HbA1c)、肌酐、HIV、病毒载量和CD4 t细胞计数的实验室结果。采用靶向冠状病毒核衣壳(N)蛋白的抗sars - cov -2抗体,对IgM和IgG抗体具有较高的亲和力。我们报告了原始的、人口加权的和经测试调整的血清患病率。采用多变量logistic回归分析确定年龄、性别、HIV和糖尿病状况是否与血清阳性风险增加相关。结果:共分析6 477份样本,其中大部分(n=5 290)来自CoJ地区。在排除未说明年龄或性别的样本后,模型人口加权和经检验调整的CoJ血清患病率(n=4 393)为27.0%(95%置信区间(CI) 25.4 - 28.6)。45 - 49岁人群血清阳性率最高(29.8%;95%可信区间25.5 - 35.0)和来自CoJ人口最密集地区的人群。18 - 49岁人群血清阳性风险最高(校正优势比(aOR) 1.52;95% ci 1.13 - 2.13;p=0.0005)和糖尿病患者样本(aOR 1.36;95% ci 1.13 - 1.63;p = 0.001)。结论:我们在大流行第一波和第二波之间进行的研究表明,目前在豪登省公共卫生机构就诊的患者中感染水平很高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sentinel seroprevalence of SARS-CoV-2 in Gauteng Province, South Africa, August - October 2020.

Background: Estimates of prevalence of anti-SARS-CoV-2 antibody positivity (seroprevalence) for tracking the COVID-19 epidemic are lacking for most African countries.

Objectives: To determine the prevalence of antibodies against SARS-CoV-2 in a sentinel cohort of patient samples received for routine testing at tertiary laboratories in Johannesburg, South Africa.

Methods: This sentinel study was conducted using remnant serum samples received at three National Health Laboratory Service laboratories in the City of Johannesburg (CoJ) district. Collection was from 1 August to 31 October 2020. We extracted accompanying laboratory results for glycated haemoglobin (HbA1c), creatinine, HIV, viral load and CD4 T-cell count. An anti-SARS-CoV-2 targeting the nucleocapsid (N) protein of the coronavirus with higher affinity for IgM and IgG antibodies was used. We reported crude as well as population-weighted and test-adjusted seroprevalence. Multivariate logistic regression analysis was used to determine whether age, sex, HIV and diabetic status were associated with increased risk for seropositivity.

Results: A total of 6 477 samples were analysed, the majority (n=5 290) from the CoJ region. After excluding samples with no age or sex stated, the model population-weighted and test-adjusted seroprevalence for the CoJ (n=4 393) was 27.0% (95% confidence interval (CI) 25.4 - 28.6). Seroprevalence was highest in those aged 45 - 49 years (29.8%; 95% CI 25.5 - 35.0) and in those from the most densely populated areas of the CoJ. Risk for seropositivity was highest in those aged 18 - 49 years (adjusted odds ratio (aOR) 1.52; 95% CI 1.13 - 2.13; p=0.0005) and in samples from diabetics (aOR 1.36; 95% CI 1.13 - 1.63; p=0.001).

Conclusions: Our study conducted between the first and second waves of the pandemic shows high levels of current infection among patients attending public health facilities in Gauteng Province.

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