Evidence map›Paper›PMID 34878071›Full record

ArticleEinstein (Sao Paulo, Brazil)2021

Clinical characteristics and outcomes of COVID-19 patients admitted to the intensive care unit during the first year of the pandemic in Brazil: a single center retrospective cohort study.

Thiago Domingos Corrêa, Thais Dias Midega, Karina Tavares Timenetsky, Ricardo Luiz Cordioli, Carmen Silvia Valente Barbas, Moacyr Silva Júnior, Bruno de Arruda Bravim, Bruno Caldin Silva, Gustavo Faissol Janot de Matos, Ricardo Kenji Nawa and 14 more

Abstract read
In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Effectiveness of high-flow nasal cannula therapy on clinical outcomes in adults with COVID-19: A systematic review.Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Is It Possible to Predict Respiratory Evolution in COVID-19 Patients?Respiration; international review of thoracic diseases · 2022
    Article
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

24 authors.

Thiago Domingos CorrêaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-9546-3910
Thais Dias MidegaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-1010-3711
Karina Tavares TimenetskyHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-4176-2445
Ricardo Luiz CordioliHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-7521-399X
Carmen Silvia Valente BarbasHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-3922-6256
Moacyr Silva JúniorHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-6479-1708
Bruno de Arruda BravimHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-8290-8554
Bruno Caldin SilvaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-9568-0974
Gustavo Faissol Janot de MatosHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-9996-7040
Ricardo Kenji NawaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-0852-7013
Fabrício Rodrigues Torres de CarvalhoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-8712-269X
Verônica Neves Fialho QueirozHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-5213-0147
Roberto Rabello FilhoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-7018-224X
Felipe Maia de Toledo PizaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-7729-9579
Adriano José PereiraHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-9467-6516
Marcele Liliane PesaventoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-7391-8208
Raquel Afonso Caserta EidHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-8241-3241
Bento Fortunato Cardoso Dos SantosHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-4662-1959
Andreia PardiniHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-9810-0100
Vanessa Damázio TeichHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-8539-6037
Claudia Regina LaselvaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-8285-9633
Miguel Cendoroglo NetoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-8163-4392
Sidney KlajnerHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-4120-1047
Leonardo José Rolim FerrazHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-1822-1568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe clinical characteristics, resource use, outcomes, and to identify predictors of in-hospital mortality of patients with COVID-19 admitted to the intensive care unit.

methodsRetrospective single-center cohort study conducted at a private hospital in São Paulo (SP), Brazil. All consecutive adult (≥18 years) patients admitted to the intensive care unit, between March 4, 2020 and February 28, 2021 were included in this study. Patients were categorized between survivors and non-survivors according to hospital discharge.

resultsDuring the study period, 1,296 patients [median (interquartile range) age: 66 (53-77) years] with COVID-19 were admitted to the intensive care unit. Out of those, 170 (13.6%) died at hospital (non-survivors) and 1,078 (86.4%) were discharged (survivors). Compared to survivors, non-survivors were older [80 (70-88) versus 63 (50-74) years; p<0.001], had a higher Simplified Acute Physiology Score 3 [59 (54-66) versus 47 (42-53) points; p<0.001], and presented comorbidities more frequently. During the intensive care unit stay, 56.6% of patients received noninvasive ventilation, 32.9% received mechanical ventilation, 31.3% used high flow nasal cannula, 11.7% received renal replacement therapy, and 1.5% used extracorporeal membrane oxygenation. Independent predictors of in-hospital mortality included age, Sequential Organ Failure Assessment score, Charlson Comorbidity Index, need for mechanical ventilation, high flow nasal cannula, renal replacement therapy, and extracorporeal membrane oxygenation support.

conclusionPatients with severe COVID-19 admitted to the intensive care unit exhibited a considerable morbidity and mortality, demanding substantial organ support, and prolonged intensive care unit and hospital stay.

Indexed as

COVID-19PandemicsAdultAgedBrazilCohort StudiesHospital MortalityHumansIntensive Care UnitsRespiration, ArtificialRetrospective StudiesSARS-CoV-2

Identifiers

PMID34878071
PMCPMC8664289

What OpenQuestion holds

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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.