Evidence map›Paper›PMID 38971822›Full record

Observational studyAntimicrobial resistance and infection control2024

Secondary attack rate following on-site isolation of patients with suspected COVID-19 in multiple-bed rooms.

Silvio Ragozzino, Richard Kuehl, Karoline Leuzinger, Pascal Schläpfer, Pascal Urwyler, Ana Durovic, Sandra Zingg, Matthias von Rotz, Manuel Battegay, Andreas F Widmer and 3 more

Abstract readObservational Study
In one paragraph

Observational study in Antimicrobial resistance and infection control, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Silvio Ragozzino *Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University Basel, Basel, Switzerland.
Richard Kuehl *Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University Basel, Basel, Switzerland.
Karoline LeuzingerClinical Virology, Laboratory Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.
Pascal SchläpferClinical Virology, Laboratory Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.
Pascal UrwylerDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University Basel, Basel, Switzerland.
Ana DurovicDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University Basel, Basel, Switzerland.
Sandra ZinggDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University Basel, Basel, Switzerland.
Matthias von RotzDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University Basel, Basel, Switzerland.
Manuel BattegayDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University Basel, Basel, Switzerland.
Andreas F WidmerDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University Basel, Basel, Switzerland.
Hans H HirschDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University Basel, Basel, Switzerland.
Stefano BassettiDivision of Internal Medicine, University Hospital Basel, University Basel, Basel, Switzerland.
Sarah Tschudin-SutterDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University Basel, Basel, Switzerland. sarah.tschudin@usb.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The implementation of isolation precautions for patients with suspected Coronavirus Disease 2019 (COVID-19) and pending test results is resource intensive. Due to the limited availability of single-bed rooms at our institution, we isolated patients with suspected COVID-19 together with patients without suspected COVID-19 on-site in multiple-bed rooms until SARS-CoV-2-test results were available. We evaluated the likelihood of SARS-CoV-2 transmission to individuals sharing the room with patients isolated on-site. This observational study was performed at the University Hospital Basel, Switzerland, from 03/20 - 11/20. Secondary attack rates were compared between patients hospitalized in multiple-bed rooms and exposed to individuals subjected to on-site isolation precautions (on-site isolation group), and patients exposed to individuals initially not identified as having COVID-19, and not placed under isolation precautions until the diagnosis was suspected (control group). Transmission events were confirmed by whole-genome sequencing. Among 1,218 patients with suspected COVID-19, 67 (5.5%) tested positive for SARS-CoV-2. Of these, 21 were isolated on-site potentially exposing 27 patients sharing the same room. Median contact time was 12 h (interquartile range 7-18 h). SARS-CoV-2 transmission was identified in none of the patients in the on-site isolation group vs. 10/63 (15.9%) in the control group (p = 0.03). Isolation on-site of suspected COVID-19-patients in multiple-bed rooms avoided single-room occupancy and subsequent in-hospital relocation for many patients without confirmed SARS-CoV-2-infection. The absence of secondary transmission among the exposed patients in the on-site isolation group allows for assessment of the risk/benefit ratio of this strategy given the limitation of a small sample size.

Indexed as

COVID-19Patient IsolationPatients' RoomsSARS-CoV-2AdultAgedAged, 80 and overFemaleHospitals, UniversityHumansMaleMiddle AgedSwitzerlandCOVID-19Disease outbreaksDroplet and contact precautionsHealthcare-associated COVID-19Infection prevention and controlIsolation on siteSARS-CoV-2Secondary attack rateShared roomsWhole-genome sequencing

Identifiers

PMID38971822
PMCPMC11227710

What OpenQuestion holds

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Registered trials

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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.