Evidence map›Paper›PMID 27096674›Full record

ArticleRevista Brasileira de terapia intensiva

Admission factors associated with intensive care unit readmission in critically ill oncohematological patients: a retrospective cohort study.

Cinthia Mendes Rodrigues, Ellen Maria Campos Pires, Jorge Patrick Oliveira Feliciano, Jose Mauro Vieira, Leandro Utino Taniguchi

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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 11 papers.

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0cells of the map it votes in
11citing 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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Cinthia Mendes RodriguesInstituto de Ensino e Pesquisa, Hospital Sírio-Libanês, São Paulo, SP, Brazil.
Ellen Maria Campos PiresInstituto de Ensino e Pesquisa, Hospital Sírio-Libanês, São Paulo, SP, Brazil.
Jorge Patrick Oliveira FelicianoInstituto de Ensino e Pesquisa, Hospital Sírio-Libanês, São Paulo, SP, Brazil.
Jose Mauro VieiraInstituto de Ensino e Pesquisa, Hospital Sírio-Libanês, São Paulo, SP, Brazil.
Leandro Utino TaniguchiInstituto de Ensino e Pesquisa, Hospital Sírio-Libanês, São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of our study was to determine the admission factors associated with intensive care unit readmission among oncohematological patients.

methodsRetrospective cohort study using an intensive care unit database from a tertiary oncological center. The participants included 1,872 critically ill oncohematological patients who were admitted to the intensive care unit from January 2012 to December 2014 and who were subsequently discharged alive. We used univariate and multivariate analysis to identify the admission risk factors associated with later intensive care unit readmission.

resultsOne hundred seventy-two patients (9.2% of 1,872 oncohematological patients discharged alive from the intensive care unit) were readmitted after intensive care unit discharge. The readmitted patients were sicker compared with the non-readmitted group and had higher hospital mortality (32.6% versus 3.7%, respectively; p < 0.001). In the multivariate analysis, the independent risk factors for intensive care unit readmission were male sex (OR: 1.5, 95% CI: 1.07 - 2.12; p = 0.019), emergency surgery as the admission reason (OR: 2.91, 95%CI: 1.53 - 5.54; p = 0.001), longer hospital length of stay before intensive care unit transfer (OR: 1.02, 95%CI: 1.007 - 1.035; p = 0.003), and mechanical ventilation (OR: 2.31, 95%CI: 1.57 - 3.40; p < 0.001).

conclusionsIn this cohort of oncohematological patients, we identified some risk factors associated with intensive care unit readmission, most of which are not amenable to interventions. The identification of risk factors at intensive care unit discharge might be a promising approach.

Indexed as

AgedCohort StudiesCritical IllnessFemaleHematologic NeoplasmsHospitalizationHospital MortalityHumansIntensive Care UnitsLength of StayMaleMiddle AgedMultivariate AnalysisPatient DischargePatient ReadmissionRespiration, Artificial

Identifiers

PMID27096674
PMCPMC4828089

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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.