Evidence map›Paper›PMID 42491338›Full record

ArticleCritical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine2026

Modelling the number of ICU beds, ICU length of stay, and ICU admission rates in Australia and New Zealand through to 2040: The PrognostICate Study.

Julius-Darius Neubert, Kristina Klug, Vincent J Heck, Fabian Dusse, Andrew Udy, David Pilcher, Andrea Ulrike Steinbicker, Sandra Emily Stoll

Abstract read
In one paragraph

Article in Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Julius-Darius NeubertMedical Faculty of Cologne University, Department of Anaesthesiology and Intensive Care Medicine, University Hospital Cologne, Germany.
Kristina KlugDepartment of Psychology, Goethe University of Frankfurt, Germany.
Vincent J HeckUniversity of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Orthopaedic, Trauma Surgery and Plastic-Aesthetic Surgery, Cologne, Germany.
Fabian DusseMedical Faculty of Cologne University, Department of Anaesthesiology and Intensive Care Medicine, University Hospital Cologne, Germany.
Andrew UdyDepartment of Intensive Care and Hyperbaric Medicine, The Alfred Hospital, Melbourne, VIC, Australia.
David PilcherDepartment of Intensive Care and Hyperbaric Medicine, The Alfred Hospital, Melbourne, VIC, Australia.
Andrea Ulrike SteinbickerMedical Faculty of Cologne University, Department of Anaesthesiology and Intensive Care Medicine, University Hospital Cologne, Germany.
Sandra Emily StollMedical Faculty of Cologne University, Department of Anaesthesiology and Intensive Care Medicine, University Hospital Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: With global population growth and ageing, intensive care demand is increasing. This retrospective study, the PrognostICate ( Setting: Retrospective bi-national data analysis (2006-2025) using the Australian and New Zealand Intensive Care Society Adult Patient Database (ANZICS-APD). Participants: All adult (>16 years) ICU patients. Intervention: Forecasting models including Poisson regression, autoregressive integrated moving average (ARIMA), logarithmic regression, and exponential smoothing (ETS) were applied. Data were combined with population projections from the Australian Bureau of Statistics and Stats NZ. Model accuracy was tested using out-of-time cross-validation. Main outcome measures: Annual ICU admissions, ICULOS and ICU bed demand until 2040. Results: A total of 3,055,786 ICU admissions were analysed. In Australia, ICULOS is projected to decrease from 3.44 days (2006) to 3.21 days in 2040 (95% PI [Prediction Interval] 2.72-3.83), while increasing among ventilated patients from 4.71 to 5.61 days (95% PI 5.34-5.98). In New Zealand, ICULOS is predicted to rise from 3.26 (2006) to 3.30 days (95% PI 2.08-5.33), and among ventilated patients from 3.92 to 7.67 days (95% PI 4.80-37.80). By 2040, ICU admissions increase by 45% in Australia and 60% in New Zealand (vs 2025). ICU bed demand is estimated at 3050 beds in Australia (9.0/100,000; 95% PI 2822-3279), up from 2372 (8.9/100,000) in 2023, and 286 beds in New Zealand (4.7/100,000; 95% PI 223-348), up from 283 (5.4/100,000) in 2023. Conclusion: ICU admissions and ICULOS among ventilated patients are projected to increase in both countries by 2040. Despite heterogeneity in ICULOS across subgroups, these findings highlight the need for stratified ICU capacity planning accounting for age, sex, admission type, and ventilation status.

Indexed as

Historic databaseICU length of mechanical ventilationICU length of stayLength of mechanical ventilationPredictionProjection modelResource allocation

Identifiers

PMID42491338
PMCPMC13376982

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.