IDENTIFICATION OF SUBPHENOTYPES OF SEPSIS-ASSOCIATED LIVER DYSFUNCTION USING CLUSTER ANALYSIS. Issue 3 (23rd March 2023)

• Record Type: Journal Article
• Authors: Miao, He; Cui, Zhigang; Guo, Zhaotian; Chen, Qianhui; Su, Wantin; Sun, Yongqiang; Sun, Mu; Ma, Xiaochun; Ding, Renyu
• Is Part Of: Shock. Volume 59:Issue 3(2023)
• Page Start: 368
• Page End: 374
• Publication Date: 2023-03-23
• Subjects: Sepsis -- liver dysfunction -- clustering -- subphenotype -- intensive care medicine -- ALP—alkaline phosphatase -- ALT—alanine transaminase -- AST—aspartate transaminase -- ICU—intensive care unit -- LCA—latent class analysis -- MIMIC—Medical Information Mart for Intensive Care -- SALD—sepsis-associated liver dysfunction -- SOFA—Sequential Organ Failure Assessment -- T-bil—total bilirubin -- t-SNE–t-distributed stochastic neighbor embedding; Shock -- Periodicals; Shock -- Periodicals; Choc (Pathologie) -- Périodiques; Shock; Periodicals; 616.0475
• DOI: 10.1097/SHK.0000000000002068
• Languages: English
• ISSNs: 1073-2322

Abstract

ABSTRACT: Objectives: We attempted to identify and validate the subphenotypes of sepsis-associated liver dysfunction (SALD) using routine clinical information. Design: This article is a retrospective observational cohort study. Setting: We used the Medical Information Mart for Intensive Care IV database and the eICU Collaborative Research Database. Patients: We included adult patients (age ≥18 years) who developed SALD within the first 48 hours of intensive care unit (ICU) admission. We excluded patients who died or were discharged from the ICU within the first 48 hours of admission. Patients with abnormal liver function before ICU admission were also excluded. Measurements and Main Results: Patients in the MIMIC-IV 1.0 database served as a derivation cohort. Patients in the eICU database were used as validation cohort. We identified four subphenotypes of SALD (subphenotype α, β, γ, δ) using K-means cluster analysis in 5234 patients in derivation cohort. The baseline characteristics and clinical outcomes were compared between the phenotypes using one-way analysis of variance/Kruskal-Wallis test and the χ 2 test. Moreover, we used line charts to illustrate the trend of liver function parameters over 14 days after ICU admission. Subphenotype α (n = 1, 055) was the most severe cluster, characterized by shock with multiple organ dysfunction (MODS) group. Subphenotype β (n = 1, 179) had the highest median bilirubin level and the highest proportion of patients with underlying liver disease and coexisting coagulopathy (increased bilirubin group). Subphenotype γ (n = 1, 661) was the cluster with the highest mean age and had the highest proportion of patients with chronic kidney disease (aged group). Subphenotype δ (n = 1, 683) had the lowest 28-day and in-hospital mortality (mild group). The characteristics of clusters in the validation cohort were similar to those in the derivation cohort. In addition, we were surprised to find that GGT levels in subphenotype δ were significantly higher than in other subphenotypes, showing a different pattern from bilirubin. Conclusions: We identified four subphenotypes of SALD that presented with different clinical features and outcomes. These results can provide a valuable reference for understanding the clinical characteristics and associated outcomes to improve the management of patients with SALD in the ICU.