Evidence map›Paper›PMID 31967226›Full record

ArticleRevista Brasileira de terapia intensiva

Characteristics and predictors of chronic critical illness in the intensive care unit.

Fernanda Perito Aguiar, Glauco Adrieno Westphal, Michelli Marcela Dadam, Elisa Cristina Correia Mota, Felipe Pfutzenreuter, Paulo Henrique Condeixa França

Open access · diamondAbstract read
In one paragraph

Article in Revista Brasileira de terapia intensiva. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  5. Efficacy ofEvidence-based complementary and alternative medicine : eCAM · 2021
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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

6 authors at 3 institutions in 2 countries.

Fernanda Perito AguiarPrograma de Pós-Graduação em Saúde e Meio Ambiente e Departamento de Medicina, Universidade da Região de Joinville - Joinville (SC), Brasil.
Glauco Adrieno WestphalPrograma de Pós-Graduação em Saúde e Meio Ambiente e Departamento de Medicina, Universidade da Região de Joinville - Joinville (SC), Brasil.ORCID http://orcid.org/0000-0001-9581-7141
Michelli Marcela DadamUnidade de Terapia Intensiva, Hospital São José - Joinville (SC), Brasil.
Elisa Cristina Correia MotaPrograma de Pós-Graduação em Saúde e Meio Ambiente e Departamento de Medicina, Universidade da Região de Joinville - Joinville (SC), Brasil.
Felipe PfutzenreuterUnidade de Terapia Intensiva, Hospital São José - Joinville (SC), Brasil.
Paulo Henrique Condeixa FrançaPrograma de Pós-Graduação em Saúde e Meio Ambiente e Departamento de Medicina, Universidade da Região de Joinville - Joinville (SC), Brasil.ORCID http://orcid.org/0000-0002-1750-9132
Hospital Municipal São José · BRUniversidade da Região de Joinville · BRWeatherford College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo characterize patients with chronic critical illness and identify predictors of development of chronic critical illness.

methodsProspective data was collected for 1 year in the intensive care unit of a general hospital in Southern Brazil. Three logistic regression models were constructed to identify factors associated with chronic critical illness.

resultsAmong the 574 subjects admitted to the intensive care unit, 200 were submitted to mechanical ventilation. Of these patients, 85 (43.5%) developed chronic critical illness, composing 14.8% of all the patients admitted to the intensive care unit. The regression model that evaluated the association of chronic critical illness with conditions present prior to intensive care unit admission identified chronic renal failure in patients undergoing hemodialysis (OR 3.57; p = 0.04) and a neurological diagnosis at hospital admission (OR 2.25; p = 0.008) as independent factors. In the model that evaluated the association of chronic critical illness with situations that occurred during intensive care unit stay, muscle weakness (OR 2.86; p = 0.01) and pressure ulcers (OR 9.54; p < 0.001) had the strongest associations. In the global multivariate analysis (that assessed previous factors and situations that occurred in the intensive care unit), hospital admission due to neurological diseases (OR 2.61; p = 0.03) and the development of pressure ulcers (OR 9.08; p < 0.001) had the strongest associations.

conclusionThe incidence of chronic critical illness in this study was similar to that observed in other studies and had a strong association with the diagnosis of neurological diseases at hospital admission and chronic renal failure in patients undergoing hemodialysis, as well as complications developed during hospitalization, such as pressure ulcers and muscle weakness.

Indexed as

Critical CareIntensive Care UnitsAdultAgedBrazilChronic DiseaseCritical IllnessFemaleHospitalizationHumansLength of StayMaleMiddle AgedMuscle WeaknessPressure UlcerProspective Studies

Identifiers

PMID31967226
PMCPMC7009003
OpenAlexW3003719018

What OpenQuestion holds

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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.