Evidence map›Paper›PMID 34536502›Full record

ArticleAmerican journal of infection control2021

Case-control study evaluating risk factors for SARS-CoV-2 outbreak amongst healthcare personnel at a tertiary care center.

Joelle I Rosser, Ralph Tayyar, Richard Giardina, Peter Kolonoski, Diane Kenski, Peidong Shen, Lars M Steinmetz, Li-Yuan Hung, Wenzhong Xiao, Karen Bains and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of infection control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Joelle I RosserDivision of Infectious Diseases & Geographic Medicine, Stanford University School of Medicine, Stanford, CA. Electronic address: jrosser@stanford.edu.
Ralph TayyarDivision of Infectious Diseases & Geographic Medicine, Stanford University School of Medicine, Stanford, CA.
Richard GiardinaStanford Health Care, Stanford, CA.
Peter KolonoskiStanford Health Care, Stanford, CA.
Diane KenskiStanford Health Care, Stanford, CA.
Peidong ShenDivision of Infectious Diseases & Geographic Medicine, Stanford University School of Medicine, Stanford, CA.
Lars M SteinmetzDivision of Infectious Diseases & Geographic Medicine, Stanford University School of Medicine, Stanford, CA.
Li-Yuan HungImmune-Metabolism Computational Center, Massachusetts General Hospital, Harvard Medical School, Cambridge, MA.
Wenzhong XiaoImmune-Metabolism Computational Center, Massachusetts General Hospital, Harvard Medical School, Cambridge, MA.
Karen BainsStanford Health Care, Stanford, CA.
Timothy MorrisonStanford Health Care, Stanford, CA.
Alexandra MadisonStanford Health Care, Stanford, CA.
Sang-Ick ChangStanford Health Care, Stanford, CA.
Lucy TompkinsDivision of Infectious Diseases & Geographic Medicine, Stanford University School of Medicine, Stanford, CA; Stanford Health Care, Stanford, CA.
Benjamin A PinskyDivision of Infectious Diseases & Geographic Medicine, Stanford University School of Medicine, Stanford, CA.
Marisa HolubarDivision of Infectious Diseases & Geographic Medicine, Stanford University School of Medicine, Stanford, CA; Stanford Health Care, Stanford, CA.

Funding

Global Epidemiology of Infectious DiseasesT32AI052073 · NIAID · STANFORD UNIVERSITY · PI Angelle Desiree LaBeaud, Stephen Patrick Luby · 2003 to 2026
$4.2M
NIAID NIH HHS T32 AI052073
6 · The paper itself

Abstract

backgroundDespite several outbreaks of SARS-CoV-2 amongst healthcare personnel (HCP) exposed to COVID-19 patients globally, risk factors for transmission remain poorly understood.

methodsWe conducted an outbreak investigation and case-control study to evaluate SARS-CoV-2 transmission risk in an outbreak among HCP at an academic medical center in California that was confirmed by whole genome sequencing.

resultsA total of 7/9 cases and 93/182 controls completed a voluntary survey about risk factors. Compared to controls, cases reported significantly more patient contact time. Cases were also significantly more likely to have performed airway procedures on the index patient, particularly placing the patient on high flow nasal cannula, continuous positive airway pressure (CPAP), or bilevel positive airway pressure (BiPAP) (OR = 11.6; 95% CI = 1.7 -132.1). DISCUSSION: This study highlights the risk of nosocomial infection of SARS-CoV-2 from patients who become infectious midway into their hospitalization. Our findings also reinforce the importance of patient contact time and aerosol-generating procedures as key risk factors for HCP infection with SARS-CoV-2.

conclusionsRe-testing patients for SARS-CoV-2 after admission in suspicious cases and using N95 masks for all aerosol-generating procedures regardless of initial patient SARS-CoV-2 test results can help reduce the risk of SARS-COV-2 transmission to HCP.

Indexed as

COVID-19SARS-CoV-2Case-Control StudiesDelivery of Health CareDisease OutbreaksHealth PersonnelHumansRisk FactorsTertiary Care CentersAerosol generating procedureCase-control studycontact tracingCOVID-19EpidemiologyHealthcare personnelOutbreakSARS-CoV-2Whole genome sequencing

Identifiers

PMID34536502
PMCPMC8440319

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.