SARS-CoV-2 RT-qPCR Ct values in saliva and nasopharyngeal swab samples for disease severity prediction.

IF 3.7 2区 医学 Q2 MICROBIOLOGY
Kristina Snipaitiene, Birute Zablockiene, Rasa Sabaliauskaite, Kristina Zukauskaite, Elzbieta Matulyte, Tautvile Smalinskaite, Mindaugas Paulauskas, Rolandas Zablockis, Mantvydas Lopeta, Julius Gagilas, Alina Puriene, Ligita Jancoriene, Sonata Jarmalaite
{"title":"SARS-CoV-2 RT-qPCR Ct values in saliva and nasopharyngeal swab samples for disease severity prediction.","authors":"Kristina Snipaitiene,&nbsp;Birute Zablockiene,&nbsp;Rasa Sabaliauskaite,&nbsp;Kristina Zukauskaite,&nbsp;Elzbieta Matulyte,&nbsp;Tautvile Smalinskaite,&nbsp;Mindaugas Paulauskas,&nbsp;Rolandas Zablockis,&nbsp;Mantvydas Lopeta,&nbsp;Julius Gagilas,&nbsp;Alina Puriene,&nbsp;Ligita Jancoriene,&nbsp;Sonata Jarmalaite","doi":"10.1080/20002297.2023.2213106","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Comparison of clinical value of RT-qPCR-based SARS-CoV-2 tests performed on saliva samples (SSs) and nasopharyngeal swab samples (NPSs) for prediction of the COVID-19 disease severity.</p><p><strong>Methods: </strong>Three paired SSs and NPSs collected every 3 days from 100 hospitalised COVID-19 patients during 2020 Jul-2021 Jan were tested by RT-qPCR for the original SARS-CoV-2 virus and compared to 150 healthy controls. Cases were divided into mild+moderate (Cohort I, <i>N</i> = 47) and severe disease (Cohort II, <i>N</i> = 53) cohorts and compared.</p><p><strong>Results: </strong>SARS-CoV-2 was detected in 65% (91/140) vs. 53% (82/156) of NPSs and 49% (68/139) vs. 48% (75/157) of SSs collected from Cohort I and II, respectively, resulting in the total respective detection rates of 58% (173/296) vs. 48% (143/296) (<i>P</i> = 0.017). Ct values of SSs were lower than those of NPSs (mean Ct = 28.01 vs. 30.07, <i>P</i> = 0.002). Although Ct values of the first SSs were significantly lower in Cohort I than in Cohort II (<i>P</i> = 0.04), it became negative earlier (mean 11.7 vs. 14.8 days, <i>P</i> = 0.005). Multivariate Cox proportional hazards regression analysis showed that Ct value ≤30 from SSs was the independent predictor for severe COVID-19 (HR = 10.06, 95% CI: 1.84-55.14, <i>P</i> = 0.008).</p><p><strong>Conclusion: </strong>Salivary RT-qPCR testing is suitable for SARS-CoV-2 infection control, while simple measurement of Ct values can assist in prediction of COVID-19 severity.</p>","PeriodicalId":16598,"journal":{"name":"Journal of Oral Microbiology","volume":"15 1","pages":"2213106"},"PeriodicalIF":3.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193917/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Oral Microbiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/20002297.2023.2213106","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Comparison of clinical value of RT-qPCR-based SARS-CoV-2 tests performed on saliva samples (SSs) and nasopharyngeal swab samples (NPSs) for prediction of the COVID-19 disease severity.

Methods: Three paired SSs and NPSs collected every 3 days from 100 hospitalised COVID-19 patients during 2020 Jul-2021 Jan were tested by RT-qPCR for the original SARS-CoV-2 virus and compared to 150 healthy controls. Cases were divided into mild+moderate (Cohort I, N = 47) and severe disease (Cohort II, N = 53) cohorts and compared.

Results: SARS-CoV-2 was detected in 65% (91/140) vs. 53% (82/156) of NPSs and 49% (68/139) vs. 48% (75/157) of SSs collected from Cohort I and II, respectively, resulting in the total respective detection rates of 58% (173/296) vs. 48% (143/296) (P = 0.017). Ct values of SSs were lower than those of NPSs (mean Ct = 28.01 vs. 30.07, P = 0.002). Although Ct values of the first SSs were significantly lower in Cohort I than in Cohort II (P = 0.04), it became negative earlier (mean 11.7 vs. 14.8 days, P = 0.005). Multivariate Cox proportional hazards regression analysis showed that Ct value ≤30 from SSs was the independent predictor for severe COVID-19 (HR = 10.06, 95% CI: 1.84-55.14, P = 0.008).

Conclusion: Salivary RT-qPCR testing is suitable for SARS-CoV-2 infection control, while simple measurement of Ct values can assist in prediction of COVID-19 severity.

Abstract Image

Abstract Image

Abstract Image

唾液和鼻咽拭子样本中SARS-CoV-2 RT-qPCR Ct值用于疾病严重程度预测
背景:比较唾液样本(SSs)和鼻咽拭子样本(nps)基于rt - qpcr的SARS-CoV-2检测预测COVID-19疾病严重程度的临床价值。方法:采用RT-qPCR方法对2020年7月至2021年1月期间100例住院COVID-19患者每3天采集3对ss和nps进行SARS-CoV-2病毒的检测,并与150名健康对照进行比较。将病例分为轻+中度(队列I, N = 47)和重度(队列II, N = 53)两组进行比较。结果:队列1和队列2的nps检出率分别为65%(91/140)和53% (82/156),SSs检出率分别为49%(68/139)和48%(75/157),总检出率分别为58%(173/296)和48%(143/296),差异有统计学意义(P = 0.017)。SSs组的Ct值低于nps组(平均Ct = 28.01 vs. 30.07, P = 0.002)。虽然队列1的第一次SSs的Ct值明显低于队列2 (P = 0.04),但变为阴性的时间更早(平均11.7天比14.8天,P = 0.005)。多因素Cox比例风险回归分析显示,SSs的Ct值≤30是重症COVID-19的独立预测因子(HR = 10.06, 95% CI: 1.84 ~ 55.14, P = 0.008)。结论:唾液RT-qPCR检测适用于SARS-CoV-2感染控制,而简单测量Ct值可辅助预测covid - cov -2严重程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
8.00
自引率
4.40%
发文量
52
审稿时长
12 weeks
期刊介绍: As the first Open Access journal in its field, the Journal of Oral Microbiology aims to be an influential source of knowledge on the aetiological agents behind oral infectious diseases. The journal is an international forum for original research on all aspects of ''oral health''. Articles which seek to understand ''oral health'' through exploration of the pathogenesis, virulence, host-parasite interactions, and immunology of oral infections are of particular interest. However, the journal also welcomes work that addresses the global agenda of oral infectious diseases and articles that present new strategies for treatment and prevention or improvements to existing strategies. Topics: ''oral health'', microbiome, genomics, host-pathogen interactions, oral infections, aetiologic agents, pathogenesis, molecular microbiology systemic diseases, ecology/environmental microbiology, treatment, diagnostics, epidemiology, basic oral microbiology, and taxonomy/systematics. Article types: original articles, notes, review articles, mini-reviews and commentaries
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信