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.
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.
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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.
French and EuRopean Outcome Registry in Intensive Care Unit
Who cites it
26 citing papers in PubMed.
- A Machine Learning Prediction Model for In-Hospital Mortality in Postoperative Patients With Type A Aortic Dissection.Reviews in cardiovascular medicine · 2026Article
- Clinical subphenotypes of sepsis based on mixed continuous and categorical data and differences in treatment effects: a cluster analysis of multicenter observational studies.Critical care (London, England) · 2026Observational
- The 15th Anniversary ofLife (Basel, Switzerland) · 2025Review
- Identifying distinct clusters of ICU survivors by integrating demographic, pre-admission quality of life, and clinical data: a large prospective cohort study.Intensive care medicine · 2025Article
- Deciphering the impact of sepsis phenotypes on improving clinical outcome predictions: a multicenter retrospective analysis based on critical care in China.Scientific reports · 2025Article
- Novel Approach to Identify Severe Maternal Morbidity Clusters: A Latent Class Analysis.American journal of perinatology · 2025Article
- Why Molecular Subphenotyping Is Needed in Cardiogenic Shock and How to Accomplish This.American journal of respiratory and critical care medicine · 2025Article
- Predictors of 1-year mortality following discharge from the surgical intensive care unit after sepsis.Surgery · 2025Article
- Association of systemic inflammation and long-term dysfunction in COVID-19 patients: A prospective cohort.Psychoneuroendocrinology · 2025Article
- Sepsis subphenotypes: bridging the gaps in sepsis treatment strategies.Frontiers in immunology · 2025Review
- Identifying biomarker-driven subphenotypes of cardiogenic shock: analysis of prospective cohorts and randomized controlled trials.EClinicalMedicine · 2025Article
- Toward Precision in Critical Care Research: Methods for Observational and Interventional Studies.Critical care medicine · 2024Review
- Post-discharge functional outcomes in older patients with sepsis.Critical care (London, England) · 2024Article
- Inflammatory subphenotypes previously identified in ARDS are associated with mortality at intensive care unit discharge: a secondary analysis of a prospective observational study.Critical care (London, England) · 2024Observational
- Clinical phenotypes of cardiogenic shock survivors: insights into late host responses and long-term outcomes.ESC heart failure · 2024Observational
- Review
- Identifying subgroup of severe community-acquired pneumonia based on clinical metagenomics, a multicenter retrospective cohort study.Frontiers in cellular and infection microbiology · 2024Article
- Associations of Lifestyle, Ambient Air Pollution With Progression of Asthma in Adults: A Comprehensive Analysis of UK Biobank Cohort.International journal of public health · 2024Article
- Clinical Sepsis Phenotypes in Critically Ill Patients.Microorganisms · 2023Review
- Distinct host-response signatures in circulatory shock: a narrative review.Intensive care medicine experimental · 2023Review
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Authors and funding
19 authors.
Funding
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 .
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