Evidence map›Paper›PMID 38606190›Full record

ArticleAfrican journal of infectious diseases2024

MOLECULAR DETECTION PROTOCOL OF SARS-COV-2 THROUGH SELF-COLLECTED SALIVA SPECIMENS VERSUS NASOPHARYNGEAL SWABS.

Ghidouche Abderezak, Hallouche Sarah, Ait-Ali Djida, Boudrahem-Hannou Lila, Nouri Hamid, Tliba Souhil, Bitam Idir, Amirouche Adel

Abstract read
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Article in African journal of infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ghidouche AbderezakFaculté des Sciences de la Nature et de la Vie, Université de Bejaia, Bejaia, Algérie.
Hallouche SarahLaboratoire de Génie Biologique des Cancers, Université de Bejaia, Bejaia, Algérie.
Ait-Ali DjidaFaculté des Sciences de la Nature et de la Vie, Université de Bejaia, Bejaia, Algérie.
Boudrahem-Hannou LilaLaboratoire de Génie Biologique des Cancers, Université de Bejaia, Bejaia, Algérie.
Nouri HamidFaculté des Sciences de la Nature et de la Vie, Université de Bejaia, Bejaia, Algérie.
Tliba SouhilLaboratoire de Génie Biologique des Cancers, Université de Bejaia, Bejaia, Algérie.
Bitam IdirEcole Supérieure en Sciences de l'Aliment et des Industries Agroalimentaires (ESSAIA), El Harrach, Alger, Algérie.
Amirouche AdelFaculté des Sciences de la Nature et de la Vie, Université de Bejaia, Bejaia, Algérie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several reports have shown that saliva specimen is an excellent alternative biofluid sample for SARS-CoV-2 detection. We conducted this study, in order to assess the sensitivity and specificity of using saliva self-collected by adult and pediatric patients, as a biological sample for RT-PCR diagnosis. Aims: The present study was carried out to assess the sensitivity and specificity of using saliva self-collected from adult and pediatric patients, as a biological sample for RT-qPCR diagnosis. Methods: In this study, 50 symptomatic patients and 40 asymptomatic subjects (adult and pediatric) were enrolled between September 2020 and November 2020 at the Department of Infectious Diseases, Bejaia University Hospital (CHU), and tested simultaneously for the sensitivity and specificity of the SARS-CoV-2 viral genome by RT-PCR on both nasopharyngeal swabs NP swab and saliva samples. Results: Our RT-qPCR results revealed that saliva samples showed the highest sensitivity (95% CI [27.67, 29.82]) followed by a nasopharyngeal swab for symptomatic (95% CI [29.64, 31.49]) as well as for asymptomatic adult patients. Moreover, the saliva of symptomatic and asymptomatic patients was monitored, and the presence of viral RNA was detected in >95% of the asymptomatic patients as well as the symptomatic patients. Surprisingly, the Ct values of ORF1ab and N genes are highly lower in nasopharyngeal swabs compared to saliva. Indeed, the mean difference note that for the ORF1ab gene and N gene, the mean of difference in ΔCt value were respectively 3.683 and 3.578. Together, including symptomatic and asymptomatic subjects, the overall agreement between the saliva sample and the nasopharyngeal is about 84%. Conclusion: The sensitivity of saliva samples remains acceptable; it may still be a viable option in locations where laboratory facilities are lacking for diagnostic purposes in the early phase of the disease.

Indexed as

DiagnosisNasopharyngeal swabReverse Transcriptase Polymerase Chain ReactionSalivaSARS-CoV-2

Identifiers

PMID38606190
PMCPMC11004780

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.