Evidence map›Paper›PMID 27155770›Full record

Observational studyThe Lancet. Respiratory medicine2016

Timing of onset and burden of persistent critical illness in Australia and New Zealand: a retrospective, population-based, observational study.

Theodore J Iwashyna, Carol L Hodgson, David Pilcher, Michael Bailey, Allison van Lint, Shaila Chavan, Rinaldo Bellomo

Registry-linked trialAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in The Lancet. Respiratory medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05124860 (A Longitudinal Investigation of Energy Expenditure and Substrate Utilization in Critically Ill Patients), which is not on this map. Cited by 119 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing 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.

NCT05124860 completednot on this mapstarted 2022, after this paper: background citation

A Longitudinal Investigation of Energy Expenditure and Substrate Utilization in Critically Ill Patients: a Prospective Observational Multi-center Study

TypeobservationalSponsorKarolinska University HospitalRan2022 to 2025Enrolled714ConditionsCritical IllnessArmsIndirect calorimetry
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  5. Long-term survival of patients with persistent critical illness in Australia and New Zealand; a retrospective registry-based cohort study.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
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  18. Rinaldo Bellomo and the evolution of critical care survivorship.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025
    Article
  19. Rinaldo Bellomo's seminal contribution to observational research using the ANZICS CORE registry.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025
    Review
  20. Article

59 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Theodore J IwashynaAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Center for Clinical Management Research, Veterans Affairs Ann Arbor Health System, Ann Arbor, MI, USA. Electronic address: tiwashyn@umich.edu.
Carol L HodgsonAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Department of Physiotherapy, Alfred Hospital, Melbourne, VIC, Australia.
David PilcherAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Department of Intensive Care, Alfred Hospital, Melbourne, VIC, Australia; Australian and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation, Melbourne, VIC, Australia.
Michael BaileyAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Allison van LintAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Australian and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation, Melbourne, VIC, Australia.
Shaila ChavanAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Australian and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation, Melbourne, VIC, Australia.
Rinaldo BellomoAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Department of Intensive Care Unit, University of Melbourne, Austin Health, Heidelberg, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCritical care physicians recognise persistent critical illness as a specific syndrome, yet few data exist for the timing of the transition from acute to persistent critical illness. Defining the onset of persistent critical illness as the time at which diagnosis and illness severity at intensive care unit (ICU) arrival no longer predict outcome better than do simple pre-ICU patient characteristics, we measured the timing of this onset at a population level in Australia and New Zealand, and the variation therein, and assessed the characteristics, burden of care, and hospital outcomes of patients with persistent critical illness.

methodsIn this retrospective, population-based, observational study, we used data for ICU admission in Australia and New Zealand from the Australian and New Zealand Intensive Care Society Adult Patient Database. We included all patients older than 16 years of age admitted to a participating ICU. We excluded patients transferred from another hospital and those admitted to an ICU for palliative care or awaiting organ donation. The primary outcome was in-hospital mortality. Using statistical methods in evenly split development and validation samples for risk score development, we examined the ability of characteristics to predict in-hospital mortality.

findingsBetween Jan, 2000, and Dec, 2014, we studied 1 028 235 critically ill patients from 182 ICUs across Australia and New Zealand. Among patients still in an ICU, admission diagnosis and physiological derangements, which accurately predicted outcome on admission (area under the receiver operating characteristics curve 0·898 [95% CI 0·897-0·899] in the validation cohort), progressively lost their predictive ability and no longer predicted outcome more accurately than did simple antecedent patient characteristics (eg, age, sex, or chronic health status) after 10 days in the ICU, thus empirically defining the onset of persistent critical illness. This transition occurred between day 7 and day 22 across diagnosis-based subgroups and between day 6 and day 15 across risk-of-death-based subgroups. Cases of persistent critical illness accounted for only 51 509 (5·0%) of the 1 028 235 patients admitted to an ICU, but for 1 029 345 (32·8%) of 3 138 432 ICU bed-days and 2 197 108 (14·7%) of 14 961 693 hospital bed-days. Overall, 12 625 (24·5%) of 51 509 patients with persistent critical illness died and only 23 968 (46·5%) of 51 509 were discharged home.

interpretationOnset of persistent critical illness can be empirically measured at a population level. Patients with this condition consume vast resources, have high mortality, have much less chance of returning home than do typical ICU patients, and require dedicated future research. ICU clinicians should be aware that the risk of in-hospital mortality can change quickly over the first 2 weeks of an ICU course and be sure to incorporate such changes in their decision making and prognostication.

fundingNone.

Indexed as

Cost of IllnessHospital MortalityTime FactorsAgedAustraliaCritical CareCritical IllnessDatabases, FactualFemaleHumansIntensive Care UnitsMaleMiddle AgedNew ZealandOutcome Assessment, Health CarePatient Admission

Identifiers

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Registered trials

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.