ArticleCritical care (London, England)2020
Defining persistent critical illness based on growth trajectories in patients with sepsis.
Article in Critical care (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- The urea-to-creatinine ratio as an emerging biomarker in critical care: a scoping review and meta-analysis.Critical care (London, England) · 2025Pooled it
- Risk factors, biomarkers, and mechanisms for persistent inflammation, immunosuppression, and catabolism syndrome (PICS): a systematic review and meta-analysis.British journal of anaesthesia · 2024Pooled it
- Establishment of a prognostic model for patients with sepsis based on SOFA: a retrospective cohort study.The Journal of international medical research · 2021Trial
- Trajectory of early creatinine change is associated with the prognosis of sepsis patients.BMC infectious diseases · 2026Article
- Association between urea-to-creatinine ratio trajectories and clinical outcomes in chronic critical illness patients: a retrospective cohort study.Frontiers in nutrition · 2026Article
- A Reflection on Current Definitions of Critical Care and Critical Illness-A Narrative Review of the Literature.Nursing in critical care · 2026Review
- Persistent critical illness in acute hypoxic respiratory failure: A retrospective cohort study.PloS one · 2026Article
- Influence of heart rate trajectory in 30-day mortality in sepsis patients: a retrospective study based on the MIMIC-IV database.BMC infectious diseases · 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
- Association Between the Blood Urea Nitrogen-to-Creatinine Ratio Trajectories and Clinical Outcomes in Critically Ill Hemorrhagic Stroke Patients: Insights from MIMIC-IV Database.Journal of clinical medicine · 2025Article
- BOBM: an adaptive deep learning framework for extended-window sepsis prediction with cross-institutional generalizability.Frontiers in medicine · 2025Article
- A Multivariate Phenotypical Approach of Sepsis and Septic Shock-A Comprehensive Narrative Literature Review.Medicina (Kaunas, Lithuania) · 2024Review
- Development and validation of an interpretable model for predicting sepsis mortality across care settings.Scientific reports · 2024Article
- Distinct patterns of vital sign and inflammatory marker responses in adults with suspected bloodstream infection.The Journal of infection · 2024Article
- Clinical practice guidelines for nutritional assessment and monitoring of adult ICU patients in China.Journal of intensive medicine · 2024Article
- Combining proteins with n-3 PUFAs (EPA + DHA) and their inflammation pro-resolution mediators for preservation of skeletal muscle mass.Critical care (London, England) · 2024Review
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- Serial platelet count as a dynamic prediction marker of hospital mortality among septic patients.Burns & trauma · 2024Article
- Advances in nutritional metabolic therapy to impede the progression of critical illness.Frontiers in nutrition · 2024Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundPersistent critical illness is common in critically ill patients and is associated with vast medical resource use and poor clinical outcomes. This study aimed to define when patients with sepsis would be stabilized and transitioned to persistent critical illness, and whether such transition time varies between latent classes of patients.
methodsThis was a retrospective cohort study involving sepsis patients in the eICU Collaborative Research Database. Persistent critical illness was defined at the time when acute physiological characteristics were no longer more predictive of in-hospital mortality (i.e., vital status at hospital discharge) than antecedent characteristics. Latent growth mixture modeling was used to identify distinct trajectory classes by using Sequential Organ Failure Assessment score measured during intensive care unit stay as the outcome, and persistent critical illness transition time was explored in each latent class.
resultsThe mortality was 16.7% (3828/22,868) in the study cohort. Acute physiological model was no longer more predictive of in-hospital mortality than antecedent characteristics at 15 days after intensive care unit admission in the overall population. Only a minority of the study subjects (n = 643, 2.8%) developed persistent critical illness, but they accounted for 19% (15,834/83,125) and 10% (19,975/198,833) of the total intensive care unit and hospital bed-days, respectively. Five latent classes were identified. Classes 1 and 2 showed increasing Sequential Organ Failure Assessment score over time and transition to persistent critical illness occurred at 16 and 27 days, respectively. The remaining classes showed a steady decline in Sequential Organ Failure Assessment scores and the transition to persistent critical illness occurred between 6 and 8 days. Elevated urea-to-creatinine ratio was a good biochemical signature of persistent critical illness.
conclusionsWhile persistent critical illness occurred in a minority of patients with sepsis, it consumed vast medical resources. The transition time differs substantially across latent classes, indicating that the allocation of medical resources should be tailored to different classes of patients.
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