Evidence map›Paper›PMID 34977533›Full record

ArticleInfection prevention in practice2022

SARS-CoV-2 in hospital air as revealed by comprehensive respiratory viral panel sequencing.

Nazima Habibi, Saif Uddin, Montaha Behbehani, Nasreem Abdul Razzack, Farhana Zakir, Anisha Shajan

Abstract read
In one paragraph

Article in Infection prevention in practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Aerosol-Mediated Spread of Antibiotic Resistance Genes: Biomonitoring Indoor and Outdoor Environments.International journal of environmental research and public health · 2024
    Review
  4. Review
  5. Spatial Variations in the Nasal Microbiota of Staff Working in a Healthcare-Associated Research Core Facility.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024
    Article
  6. Article
  7. Antibiotic Resistance Genes in Aerosols: Baseline from Kuwait.International journal of molecular sciences · 2023
    Article
  8. Article
  9. Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nazima HabibiEnvironment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.
Saif UddinEnvironment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.
Montaha BehbehaniEnvironment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.
Nasreem Abdul RazzackEnvironment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.
Farhana ZakirEnvironment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.
Anisha ShajanEnvironment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNosocomially acquired severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection has become the most significant pandemic of our lifetime. Though its transmission was essentially attributed to droplets from an infected person, with recent advancements in knowledge, aerosol transmission seems to be a viable pathway, as well. Because of the lower biological load in ambient aerosol, detection of SARS-CoV-2 is challenging. A few recent attempts of sampling large aerosol volumes and using next-generation sequencing (NGS) to detect the presence of SARS-CoV-2 in the air at very low levels gave positive results. These results suggest the potential of using this technique to detect the presence of SARS-CoV-2 and use it as an early warning signal for possible outbreak or recurrence of coronavirus disease 2019 (COVID-19).

aimTo assess efficacy of comprehensive respiratory viral panel (CRVP) sequencing and RT-PCR for low-level identification of SARS-CoV-2 and other respiratory viruses in indoor air.

methodsA large volume of indoor aerosol samples from three major hospitals involved in COVID-19 care in Kuwait was collected. Viral RNA was isolated and subjected to comprehensive respiratory viral panel sequencing (CRVP) as per the standard protocol to detect the SARS-CoV-2 and other respiratory viruses in the hospital aerosol and monitor variations within the sequences. RT-PCR was also employed to estimate the viral load of SARS-CoV-2.

findings13 of 15 (86.7%) samples exhibited SARS-CoV-2 with a relative abundance of 0.2-33.3%. The co-occurrence of human adenoviruses (type C1, C2, C5, C4), respiratory syncytial virus (RSV), influenza B, and non-SARS-CoV-229E were also recorded. Alignment of SARS-CoV-2 sequences against the reference strain of Wuhan China revealed variations in the form of single nucleotide polymorphisms (SNPs-17), insertions and deletions (indels-1). These variations were predicted to create missense (16), synonymous (15), frameshift (1) and stop-gained (1) mutations with a high (2), low (15), and moderate (16) impact.

conclusionsOur results suggest that using CRVP on a large volume aerosol sample was a valuable tool for detecting SARS-CoV-2 in indoor aerosols of health care settings. Owing to its higher sensitivity, it can be employed as a surveillance strategy in the post COVID times to act as an early warning system to possibly control future outbreaks.

Indexed as

Hospital infectionMutationsNext-generation sequencingRT-PCRSARS-CoV-2Surveillance

Identifiers

PMID34977533
PMCPMC8711137

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.