Evidence map›Paper›PMID 35072081›Full record

ReviewCritical care explorations2022

Characteristics and Outcomes of Patients With Frailty Admitted to ICU With Coronavirus Disease 2019: An Individual Patient Data Meta-Analysis.

Ashwin Subramaniam, Christopher Anstey, J Randall Curtis, Sushma Ashwin, Mallikarjuna Ponnapa Reddy, Márlon Juliano Romero Aliberti, Thiago Junqueira Avelino-Silva, Carly Welch, Gouri Koduri, John R Prowle and 6 more

Abstract readReview
In one paragraph

Review in Critical care explorations, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Review
  4. Review
  5. Article
  6. Article
  7. Impact of frailty on long-term survival in patients discharged alive from hospital after an ICU admission with COVID-19.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2024
    Article
  8. Article
  9. Observational
  10. Frailty in Critically Ill Patients with COVID-19: The Lessons Learned.Advances in experimental medicine and biology · 2024
    Review
  11. The impact of body mass index on long-term survival after ICU admission due to COVID-19: A retrospective multicentre study.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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

16 authors.

Ashwin SubramaniamDepartment of Intensive Care Medicine, Peninsula Health, Frankston, VIC, Australia.
Christopher AnsteyUniversity of Queensland, Brisbane, Qld, Australia.
J Randall CurtisCambia Palliative Care Center of Excellence, University of Washington, Seattle, WA.
Sushma AshwinDepartment of Health Economics, School of Health and social development, Deakin University, Melbourne, VIC, Australia.
Mallikarjuna Ponnapa ReddyDepartment of Intensive Care Medicine, Peninsula Health, Frankston, VIC, Australia.
Márlon Juliano Romero AlibertiLaboratorio de Investigacao Medica em Envelhecimento (LIM-66), Servico de Geriatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil.
Thiago Junqueira Avelino-SilvaLaboratorio de Investigacao Medica em Envelhecimento (LIM-66), Servico de Geriatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil.
Carly WelchInstitute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom.
Gouri KoduriDepartment of Rheumatology, Mid and South Essex NHS Foundation Trust, Southend University Hospital, Westcliff-on-Sea, United Kingdom.
John R ProwleAdult Critical Care, The Royal London Hospital (Barts Health NHS Trust), London, United Kingdom.
Yize I WanAdult Critical Care, The Royal London Hospital (Barts Health NHS Trust), London, United Kingdom.
Michaël R LaurentGeriatrics Department, Imelda Hospital, Bonheiden, Belgium.
Alessandra MarengoniDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Jun Pei LimDepartment of Geriatrics, Tan Tock Seng Hospital, Singapore, Singapore.
David PilcherAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Kiran ShekarAdult Intensive Care Services, The Prince Charles Hospital, Brisbane, Qld, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frailty is often used in clinical decision-making for patients with coronavirus disease 2019, yet studies have found a variable influence of frailty on outcomes in those admitted to the ICU. In this individual patient data meta-analysis, we evaluated the characteristics and outcomes across the range of frailty in patients admitted to ICU with coronavirus disease 2019. DATA SOURCES: We contacted the corresponding authors of 16 eligible studies published between December 1, 2019, and February 28, 2021, reporting on patients with confirmed coronavirus disease 2019 admitted to ICU with a documented Clinical Frailty Scale. STUDY SELECTION: Individual patient data were obtained from seven studies with documented Clinical Frailty Scale were included. We classified patients as nonfrail (Clinical Frailty Scale = 1-4) or frail (Clinical Frailty Scale = 5-8). DATA EXTRACTION: We collected patient demographics, Clinical Frailty Scale score, ICU organ supports, and clinically relevant outcomes (ICU and hospital mortality, ICU and hospital length of stays, and discharge destination). The primary outcome was hospital mortality. DATA SYNTHESIS: Of the 2,001 patients admitted to ICU, 388 (19.4%) were frail. Increasing age and Sequential Organ Failure Assessment score, Clinical Frailty Scale score greater than or equal to 4, use of mechanical ventilation, vasopressors, renal replacement therapy, and hyperlactatemia were risk factors for death in a multivariable analysis. Hospital mortality was higher in patients with frailty (65.2% vs 41.8%;

conclusionsPatients with frailty with coronavirus disease 2019 were commonly admitted to ICU and had greater hospital mortality but spent relatively fewer days in ICU when compared with nonfrail patients. Patients with frailty receiving mechanical ventilation were at greater risk of death than patients without frailty.

Indexed as

clinical frailty scalecoronavirus disease 2019frailtyhospital-related mortalityindividual patient data meta-analysisinvasive mechanical ventilation

Identifiers

PMID35072081
PMCPMC8769107

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.