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

Autor: Sabri, Soussi, Divya, Sharma, Peter, Jüni, Gerald, Lebovic, Laurent, Brochard, John C, Marshall, Patrick R, Lawler, Margaret, Herridge, Niall, Ferguson, Lorenzo, Del Sorbo, Elodie, Feliot, Alexandre, Mebazaa, Erica, Acton, Jason N, Kennedy, Wei, Xu, Etienne, Gayat, Claudia C, Dos Santos
Rok vydání: 2021
Předmět:
Zdroj: Critical care (London, England). 26(1)
ISSN: 1466-609X
Popis: Background Late 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. Methods In 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. Results At 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 p = 0.006). Conclusions A 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. Graphical Abstract
Databáze: OpenAIRE