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.
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.
What it found
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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.
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.
A Longitudinal Investigation of Energy Expenditure and Substrate Utilization in Critically Ill Patients: a Prospective Observational Multi-center Study
Who cites it
119 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The urea-to-creatinine ratio as an emerging biomarker in critical care: a scoping review and meta-analysis.Critical care (London, England) · 2025Pooled it
- Abnormal carnitine concentrations in critical illness associated with compromised outcome.Critical care (London, England) · 2026Trial
- Physical Function Trajectories in Survivors of Acute Respiratory Failure.Annals of the American Thoracic Society · 2019Trial
- Exploration of muscle loss and metabolic state during prolonged critical illness: Implications for intervention?PloS one · 2019Trial
- 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 · 2026Article
- Characterization and 3-Year Survival of Clinical Subtypes and Host Response Phenotypes of Acute Respiratory Failure Requiring Mechanical Ventilation.CHEST critical care · 2026Article
- Reproducible clinical archetypes in acute respiratory failure: a multi-cohort trajectory analysis.Intensive care medicine · 2026Article
- Development and Validation of a Cystatin C-based Staging of AKI in Critically Ill Patients.Kidney international reports · 2026Article
- Predictive validity of daily sequential organ failure assessment (SOFA)-2 score for 30-day mortality.Critical care (London, England) · 2026Observational
- Time course of energy expenditure in persistent critical illness: a prospective multicentre study.Critical care (London, England) · 2026Observational
- Persistent critical illness in acute hypoxic respiratory failure: A retrospective cohort study.PloS one · 2026Article
- Evolutive acid-base derangements in critically ill patients: epidemiological aspects, association with mortality and metabolic acidosis prediction.Critical care science · 2026Article
- Association between urea-to-creatinine ratio trajectories and clinical outcomes in chronic critical illness patients: a retrospective cohort study.Frontiers in nutrition · 2026Article
- APACHE II and NUTRIC Scores for Mortality Prediction in Chronic Critical Illness: A "Right-Side" Prognostic Modeling Approach.Diagnostics (Basel, Switzerland) · 2025Article
- What's in a Name? The Ongoing Tangle of Chronic Critical Illness, Persistent Critical Illness, and Prolonged Acute Mechanical Ventilation.Annals of the American Thoracic Society · 2025Article
- Article
- Prognostic Modelling of Mortality in Chronic Critical Illness After Traumatic Brain Injury.Journal of clinical medicine · 2025Article
- Rinaldo Bellomo and the evolution of critical care survivorship.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025Article
- 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 · 2025Review
- Accuracy of Intensivist Prognostications of Deterioration within the Intensive Care Unit and Development of Persistent Critical Illness: A Prospective Cohort Study.Annals of the American Thoracic Society · 2025Article
59 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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