Govender Kreshalen, Mafuyeka Rendani T, Lukhwareni Azwidowi, Meyer Pieter
Department of Medical Virology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Department of Virology, Tshwane Academic Division, National Health Laboratory Service, Pretoria, South Africa.
S Afr J Infect Dis. 2024 Nov 22;39(1):647. doi: 10.4102/sajid.v39i1.647. eCollection 2024.
Laboratory-based molecular assays return cycle threshold (Ct) values for each gene target. There is limited hyperlocal information describing the Ct, age and sex trends during the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) waves in South Africa.
To analyse the demographic and Ct value trends of SARS-CoV-2 molecular assays from two South African hospitals.
The Seegene Allplex 2019-nCoV™ results from the first two waves (June-July 2020 and November 2020-January 2021) from two major hospitals in Gauteng, South Africa, were extracted from the laboratory information system. Demographic variables and Ct values were analysed.
Overall, 2391 samples were analysed over two waves. In both waves, more women were tested than men; 68.4% versus 31.2% in the first wave and 59.8% versus 39.7% in the second wave. Differences in Ct values among the age groups were non-significant overall; however, most median Ct values in all age groups were < 30. Men had lower median Ct values in the first wave, but this trend reversed in the second wave ( < 0.001). The first wave had significantly lower mean and median Ct values per gene target ( < 0.001).
Patients tested in the first wave had lower Ct values. All age groups in both waves demonstrated infectivity potential; the demographic analysis agreed with South Africa's coronavirus disease 2019 (COVID-19) epidemiological trends in both waves.
Granular insight into the basic demographic variables and Ct trends of SARS-CoV-2 real-time polymerase chain reaction (RT-PCR) results within and between SARS-CoV-2 waves in South Africa.
基于实验室的分子检测会给出每个基因靶点的循环阈值(Ct)值。在南非严重急性呼吸综合征冠状病毒2(SARS-CoV-2)疫情期间,关于Ct、年龄和性别趋势的超本地信息有限。
分析南非两家医院SARS-CoV-2分子检测的人口统计学和Ct值趋势。
从南非豪登省两家主要医院的实验室信息系统中提取了2020年6月至7月和2020年11月至2021年1月前两波疫情期间Seegene Allplex 2019-nCoV™的检测结果。对人口统计学变量和Ct值进行了分析。
总体而言,两波疫情共分析了2391份样本。在两波疫情中,接受检测的女性都多于男性;第一波为68.4%对31.2%,第二波为59.8%对39.7%。各年龄组之间Ct值的差异总体不显著;然而,所有年龄组的大多数中位Ct值均<30。第一波疫情中男性的中位Ct值较低,但在第二波疫情中这一趋势发生了逆转(<0.001)。第一波疫情中每个基因靶点的平均和中位Ct值显著较低(<0.001)。
第一波疫情中接受检测的患者Ct值较低。两波疫情中的所有年龄组都显示出感染潜力;人口统计学分析与南非两波疫情中2019冠状病毒病(COVID-19)的流行病学趋势一致。
对南非SARS-CoV-2疫情期间SARS-CoV-2实时聚合酶链反应(RT-PCR)结果的基本人口统计学变量和Ct趋势进行了详细洞察。