Evidence map›Paper›PMID 35686307›Full record

ArticleThe Medical journal of Australia2022

People in intensive care with COVID-19: demographic and clinical features during the first, second, and third pandemic waves in Australia.

Husna Begum, Ary S Neto, Patricia Alliegro, Tessa Broadley, Tony Trapani, Lewis T Campbell, Allen C Cheng, Winston Cheung, D James Cooper, Simon J Erickson and 13 more

Open access · greenAbstract read
In one paragraph

Article in The Medical journal of Australia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 47 citations in OpenAlex.

  1. Comparative analysis of COVID-19 critically ill patients across four pandemic waves in Greece.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
    Article
  2. Respiratory syncytial virus infection in adult and paediatric patients admitted to intensive care in Australia: A nation-wide comparison with COVID-19.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025
    Article
  3. In-hospital mortality in patients admitted to Australian intensive care units with COVID-19 between 2020 and 2024.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025
    Article
  4. Article
  5. 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
  6. Article
  7. 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
  8. The PhLIP team: Feasibility of a physiotherapy-led intensive prone positioning team initiative during the COVID-19 pandemic.Australian critical care : official journal of the Confederation of Australian Critical Care Nurses · 2023
    Observational
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 14 institutions in 4 countries.

Husna BegumMonash University, Melbourne, VIC.
Ary S NetoAustralian and New Zealand Intensive Care Research Centre, Melbourne, VIC.
Patricia AlliegroAlfred Health, Melbourne, VIC.
Tessa BroadleyMonash University, Melbourne, VIC.
Tony TrapaniMonash University, Melbourne, VIC.
Lewis T CampbellRoyal Darwin Hospital, Darwin, NT.
Allen C ChengMonash University, Melbourne, VIC.ORCID 0000-0003-3152-116X
Winston CheungConcord Repatriation General Hospital, Sydney, NSW.
D James CooperMonash University, Melbourne, VIC.
Simon J EricksonPrincess Margaret Hospital for Children, Perth, WA.
Craig J FrenchWestern Heath, Melbourne, VIC.
Edward LittonFiona Stanley Hospital, Perth, WA.
Richard McAllisterRoyal Hobart Hospital, Hobart, TAS.
Alistair NicholMonash University, Melbourne, VIC.
Annamaria PalermoFiona Stanley Hospital, Perth, WA.
Mark P PlummerRoyal Melbourne Hospital, Melbourne, VIC.
Hannah RotherhamRoyal Melbourne Hospital, Melbourne, VIC.ORCID 0000-0002-8247-5223
Mahesh RamananPrince Charles Hospital, Brisbane, QLD.ORCID 0000-0003-4509-4015
Benjamin ReddiRoyal Adelaide Hospital, Adelaide, SA.
Claire ReynoldsSt Vincent's Hospital, Sydney, NSW.
Steven Ar WebbUniversity of Western Australia, Perth, WA.
Andrew A UdyMonash University, Melbourne, VIC.
Aidan BurrellAlfred Health, Melbourne, VIC.
Alfred Health · AUAustralian and New Zealand Intensive Care Society · AUMonash University · AUThe Royal Melbourne Hospital · AUConcord Repatriation General Hospital · AUMenzies School of Health Research · AUPrince Charles Hospital · AUPrincess Margaret Hospital for Children · AURoyal Adelaide Hospital · AURoyal Hobart Hospital · AUSt John of God Hospital · AUSt. Vincent's Birmingham · USThe University of Western Australia · AUWestern Health · AU

Funding

Department of Health, Commonwealth of Australia Standing Deed SON60002733
6 · The paper itself

Abstract

objectiveTo compare the demographic and clinical features, management, and outcomes for patients admitted with COVID-19 to intensive care units (ICUs) during the first, second, and third waves of the pandemic in Australia. DESIGN, SETTING, AND

participantsPeople aged 16 years or more admitted with polymerase chain reaction-confirmed COVID-19 to the 78 Australian ICUs participating in the Short Period Incidence Study of Severe Acute Respiratory Infection (SPRINT-SARI) Australia project during the first (27 February - 30 June 2020), second (1 July 2020 - 25 June 2021), and third COVID-19 waves (26 June - 1 November 2021).

main outcome measuresPrimary outcome: in-hospital mortality. SECONDARY OUTCOMES: ICU mortality; ICU and hospital lengths of stay; supportive and disease-specific therapies.

results2493 people (1535 men, 62%) were admitted to 59 ICUs: 214 during the first (9%), 296 during the second (12%), and 1983 during the third wave (80%). The median age was 64 (IQR, 54-72) years during the first wave, 58 (IQR, 49-68) years during the second, and 54 (IQR, 41-65) years during the third. The proportion without co-existing illnesses was largest during the third wave (41%; first wave, 32%; second wave, 29%). The proportion of ICU beds occupied by patients with COVID-19 was 2.8% (95% CI, 2.7-2.9%) during the first, 4.6% (95% CI, 4.3-5.1%) during the second, and 19.1% (95% CI, 17.9-20.2%) during the third wave. Non-invasive (42% v 15%) and prone ventilation strategies (63% v 15%) were used more frequently during the third wave than during the first two waves. Thirty patients (14%) died in hospital during the first wave, 35 (12%) during the second, and 281 (17%) during the third. After adjusting for age, illness severity, and other covariates, the risk of in-hospital mortality was similar for the first and second waves, but 9.60 (95% CI, 3.52-16.7) percentage points higher during the third than the first wave.

conclusionThe demographic characteristics of patients in intensive care with COVID-19 and the treatments they received during the third pandemic wave differed from those of the first two waves. Adjusted in-hospital mortality was highest during the third wave.

Indexed as

COVID-19PandemicsAustraliaCritical CareHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedCOVID-19Respiratory tract infectionsTreatment outcome

Identifiers

PMID35686307
PMCPMC9347520
OpenAlexW4281855830

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.