Evidence map›Paper›PMID 39372130›Full record

ArticleTherapeutic advances in infectious disease

Catheter-associated urinary tract infections in critically Ill patients with COVID-19: a retrospective cohort study.

Paulina Dąbrowska, Mateusz Bartoszewicz, Klaudia Bartoszewicz, Juliusz Kosel, Samuel Stróż, Jerzy Robert Ładny, Sławomir Lech Czaban

Abstract read
In one paragraph

Article in Therapeutic advances in infectious disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Paulina DąbrowskaDepartment of Anaesthesiology and Intensive Care, Medical University of Bialystok, Bialystok, Poland.
Mateusz BartoszewiczDepartment of Anaesthesiology and Intensive Care, Medical University of Bialystok, Bialystok, Poland.ORCID https://orcid.org/0000-0001-6455-6962
Klaudia BartoszewiczDepartment of Clinical Immunology, Medical University of Bialystok, Bialystok, Poland.
Juliusz KoselDepartment of Anaesthesiology and Intensive Care, Medical University of Bialystok, Bialystok, Poland.
Samuel StróżDepartment of Clinical Immunology, Medical University of Bialystok, Bialystok, Poland.
Jerzy Robert ŁadnyDepartment of Emergency Medicine, Medical University of Bialystok, Bialystok, Poland.
Sławomir Lech CzabanDepartment of Anaesthesiology and Intensive Care, Medical University of Bialystok, Marii Skłodowskiej Curie 24A Bialystok 15-276, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Catheter-associated urinary tract infections (CA-UTIs) pose a significant challenge in intensive care unit (ICU) patients with COVID-19. Objective: The study aims to assess the prevalence of CA-UTIs, identify the causative pathogens and their resistance profiles, and determine the risk factors and outcomes associated with CA-UTIs in ICU patients with COVID-19. Design: Single-center, retrospective cohort study. Methods: The study included 201 adult ICU patients diagnosed with COVID-19 between March 2020 and July 2021. Patients were categorized into CA-UTI ( Results: CA-UTIs developed in 28% of patients ( Conclusion: The findings of this study underscore the prevalence of CA-UTIs in ICU patients with COVID-19, significantly impacting patient outcomes. Effective infection control and targeted antimicrobial therapy are crucial to managing these infections.

Indexed as

catheter-associated urinary tract infectionsCOVID-19ICUmultidrug-resistant organisms

Identifiers

PMID39372130
PMCPMC11452867

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.