Evidence map›Paper›PMID 39461423›Full record

ArticleBrazilian journal of anesthesiology (Elsevier)

Prevalence and predictors of confirmed infection in patients receiving empiric antimicrobials in the intensive care unit: a retrospective cohort study.

Luis Carlos Maia Cardozo Júnior, Larissa Bianchini, Jakeline Neves Giovanetti, Luiz Marcelo Almeida de Araújo, Yuri de Albuquerque Pessoa Dos Santos, Bruno Adler Maccagnan Pinheiro Besen, Marcelo Park

Abstract read
In one paragraph

Article in Brazilian journal of anesthesiology (Elsevier). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Luis Carlos Maia Cardozo JúniorFaculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas, Departamento de Emergência, Unidade de Terapia Intensiva, São Paulo, SP, Brazil. Electronic address: stuart.lcarlos@yahoo.com.br.
Larissa BianchiniFaculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas, Departamento de Emergência, Unidade de Terapia Intensiva, São Paulo, SP, Brazil.
Jakeline Neves GiovanettiFaculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas, Departamento de Emergência, Unidade de Terapia Intensiva, São Paulo, SP, Brazil.
Luiz Marcelo Almeida de AraújoFaculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas, Departamento de Emergência, Unidade de Terapia Intensiva, São Paulo, SP, Brazil.
Yuri de Albuquerque Pessoa Dos SantosFaculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas, Departamento de Emergência, Unidade de Terapia Intensiva, São Paulo, SP, Brazil; Hospital Samaritano Paulista, Unidade de Terapia Intensiva, São Paulo, SP, Brazil.
Bruno Adler Maccagnan Pinheiro BesenFaculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas, Departamento de Emergência, Unidade de Terapia Intensiva, São Paulo, SP, Brazil; Hospital A.C. Camargo Cancer Center, Unidade de Terapia Intensiva, São Paulo, SP, Brazil.
Marcelo ParkFaculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas, Departamento de Emergência, Unidade de Terapia Intensiva, São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfection diagnosis in Intensive Care Units (ICUs) is a challenge given the spectrum of conditions that present with systemic inflammation, the illness severity and the delay and imprecision of existing diagnostic methods. We hence sought to analyze the prevalence and predictors of confirmed infection after empirical antimicrobials during ICU stay.

methodsretrospective cohort of prospectively collected ICU data in an academic tertiary hospital in São Paulo, Brazil. We included all adult patients given a new empirical antimicrobial during their ICU stay. We excluded patients using prophylactic or microbiologically guided antimicrobials. Primary outcome was infection status, defined as confirmed, probable, possible, or discarded. In a multivariable analysis, we explored variables associated with confirmed infection.

resultsAfter screening 1721 patients admitted to the ICU from November 2017 to November 2022, we identified 398 new antimicrobial prescriptions in 341 patients. After exclusions, 243 antimicrobial prescriptions for 206 patients were included. Infection was classified as confirmed in 61 (25.1%) prescriptions, probable in 39 (16.0%), possible in 103 (42.4%), and discarded in 40 (16.5%). The only factor associated with infection was deltaSOFA (OR = 1.18, 95% CI 1.02 to 1.36, p = 0.022).

conclusionSuspected infection in the ICU is frequently not confirmed. Clinicians should be aware of the need to avoid premature closure and revise diagnosis after microbiological results. Development and implementation of new tools for faster infection diagnosis and guiding of antimicrobial prescription should be a research priority.

Indexed as

Anti-Bacterial AgentsAnti-Infective AgentsInfectionsIntensive Care UnitsAdultAgedBrazilCohort StudiesFemaleHumansMaleMiddle AgedPrevalenceRetrospective StudiesAnti-Bacterial AgentsAnti-Infective AgentsAnti-bacterial agentsAntimicrobial stewardshipHealthcare associated infectionsIntensive care units

Identifiers

PMID39461423
PMCPMC11846440

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LicenceCC BY
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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.