• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Sci Rep . Detection of three pandemic causing coronaviruses from non-respiratory samples: systematic review and meta-analysis

tetano

Editor, Senior Moderator
Sci Rep


. 2021 Aug 9;11(1):16131.
doi: 10.1038/s41598-021-95329-4.
Detection of three pandemic causing coronaviruses from non-respiratory samples: systematic review and meta-analysis


Chandan Mishra[SUP] 1 [/SUP], Suneeta Meena[SUP] 2 [/SUP], Jitendra Kumar Meena[SUP] 3 [/SUP], Suman Tiwari[SUP] 4 [/SUP], Purva Mathur[SUP] 5 [/SUP]



Affiliations

Abstract

SARS-CoV-2 has posed an unprecedented challenge to the world. Pandemics have been caused previously by viruses of this family like Middle East Respiratory Corona Virus (MERS CoV), Severe Acute Respiratory Syndrome Corona Virus (SARS CoV). Although these viruses are primarily respiratory viruses, but they have been isolated from non-respiratory samples as well. Presently, the detection rate of SARS-CoV-2 RNA from different clinical specimens using Real Time Reverse Transcriptase Polymerized Chain Reaction (qRT-PCR) after onset of symptoms is not yet well established. Therefore, the aim of this systematic review was to establish the profile of detecting SARS-CoV-2, MERS CoV, SARS CoV from different types of clinical specimens other than the respiratory using a standard diagnostic test (qRT-PCR). A total of 3429 non-respiratory specimens were recorded: SARS CoV (total sample-802), MERS CoV (total sample-155), SARS CoV-2 (total sample-2347). Out of all the samples studied high positive rate was seen for saliva with 96.7% (14/14; 95% CI 87.6-100.0%) for SARS CoV and 57.5% (58/250; 95% CI - 1.2 to 116.2%) for SARS CoV-2, while low detection rate in urine samples for SARS CoV-2 with 2.2% (8/318; 95% CI 0.6-3.7%) and 9.6% (12/61; 95% CI - 0.9 to 20.1%) for SARS CoV but there was relatively higher positivity in urine samples for MERS CoV with detection rate of 32.4% (2/38; 95% CI - 37.3 to 102.1%). In Stool sample positivity was 54.9% (396/779; 95% CI 41.0-68.8%), 45.2% (180/430; 95% CI 28.1-62.3%) and 34.7% (4/38; 95% CI - 29.5 to 98.9%) for SARS CoV-2, MERS CoV, and SARS CoV, respectively. In blood sample the positivity was 33.3% (7/21; 95% CI 13.2-53.5%), 23.7% (42/277; 95% CI 10.5-36.9%) and 2.5% (2/81; 95% CI 0.00-5.8%) for MERS CoV, SARS CoV-2 and SARS CoV respectively. SARS-CoV-2 along with previous two pandemic causing viruses from this family, were highly detected stool and saliva. A low positive rate was recorded in blood samples. Viruses were also detected in fluids along with unusual samples like semen and vaginal secretions thus highlighting unique pathogenic potential of SARS-CoV-2.
 
Back
Top Bottom