Evidence map›Paper›PMID 37917761›Full record

ArticlePloS one2023

Predictors of early and long-term mortality after ICU discharge in critically ill COVID-19 patients: A prospective cohort study.

Mariana M S Santos, Isabel J Pereira, Nelson Cuboia, Joana Reis-Pardal, Diana Adrião, Teresa Cardoso, Irene Aragão, Lurdes Santos, António Sarmento, Regis G Rosa and 3 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Observational
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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

13 authors.

Mariana M S SantosMEDCIDS-Medicina da Comunidade, Informação e Decisão em Saúde, Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.ORCID 0000-0003-4352-4819
Isabel J PereiraMEDCIDS-Medicina da Comunidade, Informação e Decisão em Saúde, Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.
Nelson CuboiaMEDCIDS-Medicina da Comunidade, Informação e Decisão em Saúde, Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.
Joana Reis-PardalMEDCIDS-Medicina da Comunidade, Informação e Decisão em Saúde, Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.
Diana AdriãoPolyvalent Intensive Care Medicine Service, Centro Hospitalar de Gaia/Espinho-Vila Nova de Gaia, Vila Nova de Gaia, Portugal.ORCID 0000-0002-3480-2998
Teresa CardosoIntensive Care Unit (UCIP), Hospital de Santo António, Oporto Hospital Center, University of Oporto, Largo Prof. Abel Salazar, Porto, Portugal.
Irene AragãoIntensive Care Unit (UCIP), Hospital de Santo António, Oporto Hospital Center, University of Oporto, Largo Prof. Abel Salazar, Porto, Portugal.
Lurdes SantosCHUSJ-Centro Hospitalar Universitário S. João, Porto, Portugal.
António SarmentoCHUSJ-Centro Hospitalar Universitário S. João, Porto, Portugal.
Regis G RosaHospital Moinhos de Vento, Porto Alegre, RS, Brazil.
Cristina GranjaFaculty of Medicine, University of Porto, Porto, Portugal.
Cassiano TeixeiraBrazilian Research in Intensive Care Network (BRICNet), São Paulo, SP, Brazil.
Luís AzevedoMEDCIDS-Medicina da Comunidade, Informação e Decisão em Saúde, Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo mitigate mortality among critically ill COVID-19 patients, both during their Intensive Care Unit (ICU) stay and following ICU discharge, it is crucial to measure its frequency, identify predictors and to establish an appropriate post-ICU follow-up strategy.

methodsIn this multicentre, prospective cohort study, we included 586 critically ill COVID-19 patients.

resultsWe observed an overall ICU mortality of 20.1% [95%CI: 17.1% to 23.6%] (118/586) and an overall hospital mortality of 25.4% [95%CI: 22.1% to 29.1%] (149/586). For ICU survivors, 30 days (early) post-ICU mortality was 5.3% [95%CI: 3.6% to 7.8%] (25/468) and one-year (late) post-ICU mortality was 7.9% [95%CI: 5.8% to 10.8%] (37/468). Pre-existing conditions/comorbidities were identified as the main independent predictors of mortality after ICU discharge: hypertension and heart failure were independent predictors of early mortality; and hypertension, chronic kidney disease, chronic obstructive pulmonary disease and cancer were independent predictors of late mortality.

conclusionEarly and late post-ICU mortality exhibited an initial surge (in the first 30 days post-ICU) followed by a subsequent decline over time. Close monitoring of critically ill COVID-19 post-ICU survivors, especially those with pre-existing conditions, is crucial to prevent adverse outcomes, reduce mortality and to establish an appropriate follow-up strategy.

Indexed as

COVID-19HypertensionCritical IllnessHumansIntensive Care UnitsPatient DischargeProspective StudiesRetrospective Studies

Identifiers

PMID37917761
PMCPMC10621933

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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.