Evidence map›Paper›PMID 34809698›Full record

ArticleCritical care (London, England)2021

The effect of the COVID-19 pandemic on the epidemiology of positive blood cultures in Swiss intensive care units: a nationwide surveillance study.

Lauro Damonti, Andreas Kronenberg, Jonas Marschall, Philipp Jent, Rami Sommerstein, Marlieke E A De Kraker, Stephan Harbarth, Michael Gasser, Niccolò Buetti

Abstract read
In one paragraph

Article in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Microbiology of bloodstream infections in Ontario, Canada during COVID-19 pandemic.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Journal of clinical medicine · 2023
    Review
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Observational
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

9 authors.

Lauro DamontiDepartment of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. lauro.damonti@insel.ch.ORCID 0000-0003-4686-4632
Andreas KronenbergSwiss Centre for Antibiotic Resistance, Institute for Infectious Diseases, University Bern, Bern, Switzerland.
Jonas MarschallDepartment of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Philipp JentDepartment of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Rami SommersteinDepartment of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Marlieke E A De KrakerInfection Control Program and WHO Collaborating Centre on Patient Safety, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
Stephan HarbarthInfection Control Programme, University of Geneva Hospitals and Faculty of Medicine, WHO Collaborating Center, Geneva, Switzerland.
Michael Gasser *Swiss Centre for Antibiotic Resistance, Institute for Infectious Diseases, University Bern, Bern, Switzerland.
Niccolò Buetti *Infection Control Programme, University of Geneva Hospitals and Faculty of Medicine, WHO Collaborating Center, Geneva, Switzerland.

Funding

7th Framework Programme (FP7/2007-2013 1155237th Framework Programme (FP7/2007-2013 1156207th Framework Programme (FP7/2007-2013 115737Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 179500Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung P4P4PM_194449
6 · The paper itself

Abstract

backgroundEvidence about the impact of the pandemic of COVID-19 on the incidence rates of blood cultures contaminations and bloodstream infections in intensive care units (ICUs) remains scant. The objective of this study was to investigate the nationwide epidemiology of positive blood cultures drawn in ICUs during the first two pandemic waves of COVID-19 in Switzerland.

methodsWe analyzed data on positive blood cultures among ICU patients, prospectively collected through a nationwide surveillance system (ANRESIS), from March 30, 2020, to May 31, 2021, a 14-month timeframe that included a first wave of COVID-19, which affected the French and Italian-speaking regions, an interim period (summer 2020) and a second wave that affected the entire country. We used the number of ICU patient-days provided by the Swiss Federal Office of Public Health as denominator to calculate incidence rates of blood culture contaminations and bloodstream infections (ICU-BSI). Incidence rate ratios comparing the interim period with the second wave were determined by segmented Poisson regression models.

resultsA total of 1099 blood culture contaminations and 1616 ICU-BSIs were identified in 52 ICUs during the study. Overall, more episodes of blood culture contaminations and ICU-BSI were observed during the pandemic waves, compared to the interim period. The proportions of blood culture contaminations and ICU-BSI were positively associated with the ICU occupancy rate, which was higher during the COVID-19 waves. During the more representative second wave (versus interim period), we observed an increased incidence of blood culture contaminations (IRR 1.57, 95% CI 1.16-2.12) and ICU-BSI (IRR 1.20, 95% CI 1.03-1.39).

conclusionsAn increase in blood culture contaminations and ICU-BSIs was observed during the second COVID-19 pandemic wave, especially in months when the ICU burden of COVID-19 patients was high.

Indexed as

Blood CulturePandemicsPopulation SurveillanceCOVID-19Equipment ContaminationFemaleHumansIncidenceIntensive Care UnitsMaleMiddle AgedSepsisSwitzerlandBlood culture contaminationsBloodstream infectionsCOVID-19ICUSurveillance

Identifiers

PMID34809698
PMCPMC8607066

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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.