Evidence map›Paper›PMID 35449071›Full record

ArticleCritical care (London, England)2022

Identifying clinical subtypes in sepsis-survivors with different one-year outcomes: a secondary latent class analysis of the FROG-ICU cohort.

Sabri Soussi, Divya Sharma, Peter Jüni, Gerald Lebovic, Laurent Brochard, John C Marshall, Patrick R Lawler, Margaret Herridge, Niall Ferguson, Lorenzo Del Sorbo and 9 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01367093 (French and EuRopean Outcome Registry in Intensive Care Unit), which is not on this map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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.

NCT01367093 completednot on this map

French and EuRopean Outcome Registry in Intensive Care Unit

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2011 to 2015Enrolled2,137ConditionsIntensive Care Unit Syndrome, Tracheal Intubation Morbidity
3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Article
  2. Observational
  3. The 15th Anniversary ofLife (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Why Molecular Subphenotyping Is Needed in Cardiogenic Shock and How to Accomplish This.American journal of respiratory and critical care medicine · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Observational
  15. Observational
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review
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

19 authors.

Sabri SoussiInterdepartmental Division of Critical Care, Faculty of Medicine, St Michael's Hospital, Keenan Research Centre for Biomedical Science and Institute of Medical Sciences, University of Toronto, 209 Victoria St 7th Floor, Toronto, ON, M5B 1T8, Canada. sabri.soussi@uhn.ca.
Divya SharmaDepartment of Biostatistics, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Peter JüniApplied Health Research Centre, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, ON, M5B 1W8, Canada.
Gerald LebovicApplied Health Research Centre, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, ON, M5B 1W8, Canada.
Laurent BrochardInterdepartmental Division of Critical Care, Faculty of Medicine, St Michael's Hospital, Keenan Research Centre for Biomedical Science and Institute of Medical Sciences, University of Toronto, 209 Victoria St 7th Floor, Toronto, ON, M5B 1T8, Canada.
John C MarshallInterdepartmental Division of Critical Care, Faculty of Medicine, St Michael's Hospital, Keenan Research Centre for Biomedical Science and Institute of Medical Sciences, University of Toronto, 209 Victoria St 7th Floor, Toronto, ON, M5B 1T8, Canada.
Patrick R LawlerPeter Munk Cardiac Centre, University Health Network, and Heart and Stroke Richard Lewar Centre of Excellence in Cardiovascular Research, University of Toronto, Toronto, ON, Canada.
Margaret HerridgeDepartment of Medicine, Interdepartmental Division of Critical Care Medicine, Toronto General Research Institute, Institute of Medical Science, University Health Network, University of Toronto, Toronto, ON, Canada.
Niall FergusonDepartment of Medicine, Interdepartmental Division of Critical Care Medicine, Toronto General Research Institute, Institute of Medical Science, University Health Network, University of Toronto, Toronto, ON, Canada.
Lorenzo Del SorboDepartment of Medicine, Interdepartmental Division of Critical Care Medicine, Toronto General Research Institute, Institute of Medical Science, University Health Network, University of Toronto, Toronto, ON, Canada.
Elodie FeliotDepartment of Anesthesiology, Critical Care, Lariboisière - Saint-Louis Hospitals, DMU Parabol, AP-HP Nord; Inserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), University of Paris, Paris, France.
Alexandre MebazaaDepartment of Anesthesiology, Critical Care, Lariboisière - Saint-Louis Hospitals, DMU Parabol, AP-HP Nord; Inserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), University of Paris, Paris, France.
Erica ActonInterdepartmental Division of Critical Care, Faculty of Medicine, St Michael's Hospital, Keenan Research Centre for Biomedical Science and Institute of Medical Sciences, University of Toronto, 209 Victoria St 7th Floor, Toronto, ON, M5B 1T8, Canada.
Jason N KennedyDepartment of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Wei XuDepartment of Biostatistics, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Etienne GayatDepartment of Anesthesiology, Critical Care, Lariboisière - Saint-Louis Hospitals, DMU Parabol, AP-HP Nord; Inserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), University of Paris, Paris, France.
Claudia C Dos SantosInterdepartmental Division of Critical Care, Faculty of Medicine, St Michael's Hospital, Keenan Research Centre for Biomedical Science and Institute of Medical Sciences, University of Toronto, 209 Victoria St 7th Floor, Toronto, ON, M5B 1T8, Canada.
FROG-ICU
CCCTBG trans-trial group study for InFACT - the International Forum for Acute Care Trialists

Funding

Programme Hospitalier de la Recherche Clinique AON 10-216
6 · The paper itself

Abstract

backgroundLate mortality risk in sepsis-survivors persists for years with high readmission rates and low quality of life. The present study seeks to link the clinical sepsis-survivors heterogeneity with distinct biological profiles at ICU discharge and late adverse events using an unsupervised analysis.

methodsIn the original FROG-ICU prospective, observational, multicenter study, intensive care unit (ICU) patients with sepsis on admission (Sepsis-3) were identified (N = 655). Among them, 467 were discharged alive from the ICU and included in the current study. Latent class analysis was applied to identify distinct sepsis-survivors clinical classes using readily available data at ICU discharge. The primary endpoint was one-year mortality after ICU discharge.

resultsAt ICU discharge, two distinct subtypes were identified (A and B) using 15 readily available clinical and biological variables. Patients assigned to subtype B (48% of the studied population) had more impaired cardiovascular and kidney functions, hematological disorders and inflammation at ICU discharge than subtype A. Sepsis-survivors in subtype B had significantly higher one-year mortality compared to subtype A (respectively, 34% vs 16%, p < 0.001). When adjusted for standard long-term risk factors (e.g., age, comorbidities, severity of illness, renal function and duration of ICU stay), subtype B was independently associated with increased one-year mortality (adjusted hazard ratio (HR) = 1.74 (95% CI 1.16-2.60); p = 0.006).

conclusionsA subtype with sustained organ failure and inflammation at ICU discharge can be identified from routine clinical and laboratory data and is independently associated with poor long-term outcome in sepsis-survivors. Trial registration NCT01367093; https://clinicaltrials.gov/ct2/show/NCT01367093 .

Indexed as

Quality of LifeSepsisHumansIntensive Care UnitsLatent Class AnalysisProspective StudiesSurvivorsBiomarkersLatent profile analysisMixture modelingPersonalized medicinePost-intensive care syndrome (PICS)Prognostic enrichmentSepsis

Identifiers

PMID35449071
PMCPMC9022336

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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.