Evidence map›Paper›PMID 34952960›Full record

ArticleAnnals of intensive care2021

Characteristics and prognosis of bloodstream infection in patients with COVID-19 admitted in the ICU: an ancillary study of the COVID-ICU study.

Nicolas Massart, Virginie Maxime, Pierre Fillatre, Keyvan Razazi, Alexis Ferré, Pierre Moine, Francois Legay, Guillaume Voiriot, Marlene Amara, Francesca Santi and 7 more

Erratum issuedAbstract read
In one paragraph

Article in Annals of intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Nicolas Massart *Service de Réanimation, CH de St BRIEUC, 10, rue Marcel Proust, 22000, Saint-Brieuc, France.
Virginie Maxime *Surgical and Medical Intensive Care Unit Hôpital, Raymond Poincaré, 9230, Garches, France.
Pierre FillatreService de Réanimation, CH de St BRIEUC, 10, rue Marcel Proust, 22000, Saint-Brieuc, France.
Keyvan RazaziAP-HP, Hôpitaux Universitaires Henri-Mondor, Service de Médecine Intensive Réanimation, 94010, Créteil, France.
Alexis FerréService de Réanimation/USC, Hôpital Mignot, Centre hospitalier de Versailles, 177 rue de Versailles, 78150, Le Chesnay, France.
Pierre MoineSurgical and Medical Intensive Care Unit Hôpital, Raymond Poincaré, 9230, Garches, France.
Francois LegayService de Réanimation, CH de St BRIEUC, 10, rue Marcel Proust, 22000, Saint-Brieuc, France.
Guillaume VoiriotService de Médecine Intensive Réanimation, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, and Groupe de Recherche Clinique CARMAS, Collegium Galilée, Créteil, France.
Marlene AmaraService de Biologie (Unité de Microbiologie), Hôpital Mignot, Centre Hospitalier de Versailles, 177 rue de Versailles, 78150, Le Chesnay, France.
Francesca SantiSurgical and Medical Intensive Care Unit Hôpital, Raymond Poincaré, 9230, Garches, France.
Saad NseirCentre de Réanimation, CHU de Lille, 59000, Lille, France.
Stephanie Marque-JuilletService de Biologie (Unité de Microbiologie), Hôpital Mignot, Centre Hospitalier de Versailles, 177 rue de Versailles, 78150, Le Chesnay, France.
Rania BounabSurgical and Medical Intensive Care Unit Hôpital, Raymond Poincaré, 9230, Garches, France.
Nicolas BarbarotService de Réanimation, CH de St BRIEUC, 10, rue Marcel Proust, 22000, Saint-Brieuc, France.
Fabrice Bruneel *Service de Réanimation/USC, Hôpital Mignot, Centre hospitalier de Versailles, 177 rue de Versailles, 78150, Le Chesnay, France.
Charles-Edouard Luyt *Service de Médecine Intensive Réanimation, Institut de Cardiologie, Assistance Publique-Hôpitaux de Paris (APHP), Sorbonne-Université, Hôpital Pitié-Salpêtrière, and Sorbonne Université, INSERM, UMRS_1166-ICAN Institute of Cardiometabolism and Nutrition, 47-83, Boulevard de l'Hôpital, 75651, Paris, France. charles-edouard.luyt@aphp.fr.ORCID http://orcid.org/0000-0001-7424-2705
COVID ICU Bacteremia Study Group on behalf of the COVID-ICU Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-COV 2) and requiring intensive care unit (ICU) have a high incidence of hospital-acquired infections; however, data regarding hospital acquired bloodstream infections (BSI) are scarce. We aimed to investigate risk factors and outcome of BSI in critically ill coronavirus infectious disease-19 (COVID-19) patients. PATIENTS AND

methodsWe performed an ancillary analysis of a multicenter prospective international cohort study (COVID-ICU study) that included 4010 COVID-19 ICU patients. For the present analysis, only those with data regarding primary outcome (death within 90 days from admission) or BSI status were included. Risk factors for BSI were analyzed using Fine and Gray competing risk model. Then, for outcome comparison, 537 BSI-patients were matched with 537 controls using propensity score matching.

resultsAmong 4010 included patients, 780 (19.5%) acquired a total of 1066 BSI (10.3 BSI per 1000 patients days at risk) of whom 92% were acquired in the ICU. Higher SAPS II, male gender, longer time from hospital to ICU admission and antiviral drug before admission were independently associated with an increased risk of BSI, and interestingly, this risk decreased over time. BSI was independently associated with a shorter time to death in the overall population (adjusted hazard ratio (aHR) 1.28, 95% CI 1.05-1.56) and, in the propensity score matched data set, patients with BSI had a higher mortality rate (39% vs 33% p = 0.036). BSI accounted for 3.6% of the death of the overall population.

conclusionCOVID-19 ICU patients have a high risk of BSI, especially early after ICU admission, risk that increases with severity but not with corticosteroids use. BSI is associated with an increased mortality rate.

Identifiers

PMID34952960
PMCPMC8708508

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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.