Evidence map›Paper›PMID 35569577›Full record

ArticleThe Journal of hospital infection2022

Environmental SARS-CoV-2 contamination in hospital rooms of patients with acute COVID-19.

S Nagle, Y Tandjaoui-Lambiotte, M Boubaya, G Athenaïs, C Alloui, C Bloch-Queyrat, E Carbonnelle, S Brichler, Y Cohen, J-R Zahar and 1 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of hospital infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Article
  6. Article
  7. Review
  8. Effect of Face Masking on Transmission of SARS-CoV-2.Advances in experimental medicine and biology · 2024
    Article
  9. Article
  10. Review
  11. Article
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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

11 authors at 5 institutions in 1 country.

S NagleUnité de Prévention du Risque Infectieux, Service de Microbiologie clinique, Groupe Hospitalier Paris Seine Saint-Denis, Université Sorbonne Paris Nord, Bobigny, France; Réanimation Polyvalente, Groupe Hospitalier Paris Seine Saint-Denis, Université Sorbonne Paris Nord, Bobigny, France; INSERM UMR 1137 IAME, Université de Paris and Université Sorbonne Paris Nord, Bobigny, France.
Y Tandjaoui-LambiotteRéanimation Polyvalente, Groupe Hospitalier Paris Seine Saint-Denis, Université Sorbonne Paris Nord, Bobigny, France; INSERM UMR 1137 IAME, Université de Paris and Université Sorbonne Paris Nord, Bobigny, France; Pneumologie & Infectiologie, CH St Denis, Saint Denis, France; INSERM UMR 1272 Hypoxie & Poumon, Bobigny, Université Sorbonne Paris Nord, Bobigny, France.
M BoubayaDépartement de Recherche Clinique, Groupe Hospitalier Paris Seine-Saint-Denis, Assistance Publique-Hôpitaux de Paris, Paris, France.
G AthenaïsUnité de virologie, Service de Microbiologie Clinique, Groupe Hospitalier Paris Seine Saint-Denis, Université Sorbonne Paris Nord, Bobigny, France.
C AllouiUnité de virologie, Service de Microbiologie Clinique, Groupe Hospitalier Paris Seine Saint-Denis, Université Sorbonne Paris Nord, Bobigny, France.
C Bloch-QueyratDépartement de Recherche Clinique, Groupe Hospitalier Paris Seine-Saint-Denis, Assistance Publique-Hôpitaux de Paris, Paris, France.
E CarbonnelleINSERM UMR 1137 IAME, Université de Paris and Université Sorbonne Paris Nord, Bobigny, France; Unité de virologie, Service de Microbiologie Clinique, Groupe Hospitalier Paris Seine Saint-Denis, Université Sorbonne Paris Nord, Bobigny, France.
S BrichlerUnité de virologie, Service de Microbiologie Clinique, Groupe Hospitalier Paris Seine Saint-Denis, Université Sorbonne Paris Nord, Bobigny, France.
Y CohenRéanimation Polyvalente, Groupe Hospitalier Paris Seine Saint-Denis, Université Sorbonne Paris Nord, Bobigny, France.
J-R ZaharUnité de Prévention du Risque Infectieux, Service de Microbiologie clinique, Groupe Hospitalier Paris Seine Saint-Denis, Université Sorbonne Paris Nord, Bobigny, France; INSERM UMR 1137 IAME, Université de Paris and Université Sorbonne Paris Nord, Bobigny, France; Unité de virologie, Service de Microbiologie Clinique, Groupe Hospitalier Paris Seine Saint-Denis, Université Sorbonne Paris Nord, Bobigny, France. Electronic address: jeanralph.zahar@aphp.fr.
H DelagrèverieINSERM UMR 1137 IAME, Université de Paris and Université Sorbonne Paris Nord, Bobigny, France; Unité de virologie, Service de Microbiologie Clinique, Groupe Hospitalier Paris Seine Saint-Denis, Université Sorbonne Paris Nord, Bobigny, France.
Université Sorbonne Paris Nord · FRAssistance Publique – Hôpitaux de Paris · FRInserm · FRSorbonne Université · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveData on the transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) remain conflicting. Airborne transmission is still debated. However, hospital risk control requires better understanding of the different modes of transmission. This study aimed to evaluate the frequency of, and factors associated with, environmental air and surface contamination in the rooms of patients with coronavirus disease 2019 in the acute phase of the disease.

methodsSixty-five consecutive patients were included in this study. For each patient, seven room surfaces, air 1 m and 3 m from the patient's head, the inner surface of the patient's mask, and the outer surface of healthcare workers' (HCW) masks were sampled. Environmental contamination was assessed by quantitative reverse transcription polymerase chain reaction (RT-qPCR) for SARS-CoV-2 RNA on surfaces, air and masks. A viral isolation test was performed on Vero cells for samples with an RT-qPCR cycle threshold (Ct) ≤37.

resultsSARS-CoV-2 RNA was detected by RT-qPCR in 34%, 12%, 50% and 10% of surface, air, patient mask and HCW mask samples, respectively. Infectious virus was isolated in culture from two samples among the 85 positive samples with Ct ≤37. On multi-variate analysis, only a positive result for SARS-CoV-2 RT-qPCR for patients' face masks was found to be significantly associated with surface contamination (odds ratio 5.79, 95% confidence interval 1.31-25.67; P=0.025).

conclusionThis study found that surface contamination by SARS-CoV-2 was more common than air and mask contamination. However, viable virus was rare. The inner surface of a patient's mask could be used as a marker to identify those at higher risk of contamination.

Indexed as

COVID-19SARS-CoV-2AnimalsChlorocebus aethiopsHospitalsHumansPatients' RoomsRNA, ViralVero CellsRNA, ViralAirborne contaminationCOVID-19Environmental contaminationInfection controlViral isolation

Identifiers

PMID35569577
PMCPMC9098885
OpenAlexW4280529427

What OpenQuestion holds

Textmetadata
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.