Miao He, Cui Zhigang, Guo Zhaotian, Chen Qianhui, Su Wantin, Sun Yongqiang, Sun Mu, Ma Xiaochun, Ding Renyu
Department of Intensive Care Unit, The First Hospital of China Medical University, Shenyang, Liaoning Province, China.
School of Nursing, China Medical University, Shenyang, Liaoning Province, China.
Shock. 2023 Mar 1;59(3):368-374. doi: 10.1097/SHK.0000000000002068. Epub 2022 Dec 23.
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.
我们试图利用常规临床信息识别并验证脓毒症相关肝功能障碍(SALD)的亚表型。
本文是一项回顾性观察队列研究。
我们使用重症监护医学信息集市IV数据库(Medical Information Mart for Intensive Care IV database)和电子重症监护病房协作研究数据库(eICU Collaborative Research Database)。
我们纳入了在重症监护病房(ICU)入院后48小时内发生SALD的成年患者(年龄≥18岁)。我们排除了入院后48小时内死亡或从ICU出院的患者。入院前肝功能异常的患者也被排除。
多中心重症监护医学信息数据库第四版(MIMIC-IV)1.0数据库中的患者作为推导队列。电子重症监护病房数据库中的患者作为验证队列。我们在推导队列的5234例患者中使用K均值聚类分析确定了SALD的四种亚表型(亚表型α、β、γ、δ)。使用单因素方差分析/克鲁斯卡尔-沃利斯检验(Kruskal-Wallis test)和卡方检验比较各表型之间的基线特征和临床结局。此外,我们使用折线图来说明ICU入院后14天内肝功能参数的变化趋势。亚表型α(n = 1055)是最严重的聚类,其特征为伴有多器官功能障碍(MODS)的休克组。亚表型β(n = 1179)的胆红素中位数水平最高,且潜在肝病和合并凝血功能障碍的患者比例最高(高胆红素组)。亚表型γ(n = 1661)是平均年龄最高的聚类,且慢性肾病患者比例最高(老年组)。亚表型δ(n = 1683)的28天和住院死亡率最低(轻度组)。验证队列中各聚类的特征与推导队列相似。此外,我们惊讶地发现亚表型δ中的γ-谷氨酰转移酶(GGT)水平显著高于其他亚表型,呈现出与胆红素不同的模式。
我们确定了SALD的四种亚表型,它们具有不同的临床特征和结局。这些结果可为了解临床特征及相关结局提供有价值的参考,以改善ICU中SALD患者的管理。