南方医科大学学报2026，Vol.46Issue(1)：6-22,17.DOI:10.12122/j.issn.1673-4254.2026.01.02
基于Th1/Th2细胞因子检测的脓毒症免疫状态分型及预后分析:一项回顾性研究
Identification of immune status subtypes and prognostic analysis of septic patients based on Th1/Th2 cytokine assays
摘要
Abstract
Objective Sepsis patients exhibit diverse immune states,making it crucial to identify subtypes with distinct inflammatory profiles through Th1/Th2 cytokine data for personalized treatment and improved prognosis.Methods We retrieved data from sepsis patients who underwent Th1/Th2 cytokine testing in Nanfang Hospital,Southern Medical University from June 1,2020,to February 1,2022.An unsupervised K-means clustering method classified participants based on Th1/Th2 cytokine levels,with the primary outcome being the 7-day mortality rate post-ICU admission.Cox proportional hazards and Restricted Mean Survival Time(RMST)analyses were utilized to explore survival outcomes.Results A total of 321 sepsis patients were included.IL-6(HR 1.69,95%CI:1.22,2.34)and IL-10(HR 1.81,95%CI:1.37,2.40)emerged as independent predictors of 7-day mortality.Unsupervised K-means clustering revealed 3 inflammatory/immune subgroups:Cluster 1(n=166,low inflammatory response),Cluster 2(n=99,moderate inflammatory response with immune suppression),and Cluster 3(n=56,strong inflammatory and immune suppression).Compared to Cluster 1,Clusters 2 and 3 had higher 7-day mortality risks(14.4%vs 23.2%,HR=4.30,95%CI:1.51-12.26;14.4%vs 35.7%,HR=7.32,95%CI:2.57-20.79).Conclusion Septic patients in a protective immune response state(Cluster 1)exhibit better short-term prognoses,suggesting the importance of understanding inflammatory/immune states for precise treatment and improved outcomes.关键词
Th1/Th2细胞因子/脓毒症/预后/K-均值聚类/炎症/免疫状态Key words
Th1/Th2 cytokines/sepsis prognosis/K-means clustering/inflammatory/immune states引用本文复制引用
沙桐,王文研,宣佳斌,吴洁,石能贤,何劲,胡鸿彬,张耀元..基于Th1/Th2细胞因子检测的脓毒症免疫状态分型及预后分析:一项回顾性研究[J].南方医科大学学报,2026,46(1):6-22,17.基金项目
Supported by Supported by National Natural Science Foundation of China(8230241)and Guangzhou Science and Technology Program(2025A04J4187)国家自然科学基金(8230241) （8230241）
广州市科学技术局青年博士"启航"项目(2025A04J4187) （2025A04J4187）
