首页|期刊导航|中国中医急症|脓毒症早期中医证候动态演变与28 d死亡风险预测模型研究

脓毒症早期中医证候动态演变与28 d死亡风险预测模型研究OA

Study on the Dynamic Evolution of Traditional Chinese Medicine Syndromes in Early Sepsis and the 28-Day Mortality Risk Prediction Model

中文摘要英文摘要

目的 观察脓毒症患者早期中医证候动态演变轨迹,并构建基于中医证候动态演变的脓毒症患者28 d死亡风险预测模型,分析其预测价值.方法 纳入2022年2月至2024年1月河北省沧州中西医结合医院131例脓毒症患者.于入院后0、24、48 h对患者进行中医证候评估,采用组基轨迹模型(GBTM)分析脓毒症患者中医证候动态演变轨迹,并利用多因素Cox回归分析中医证候演变轨迹与28 d死亡风险的关系,构建脓毒症患者死亡风险的预测模型,分析其预测效能.结果 GBTM拟合的最佳模型将脓毒症患者中医证候演变轨迹分为3个演变轨迹亚组,分别为持续热毒瘀阻型组、热毒转虚证型组及全程虚证型组.多因素Cox回归分析显示,血小板计数(PLT)(HR=0.992)、白细胞计数(HR=1.104)、序贯器官功能衰竭(SOFA)评分(HR=1.252)、急性生理与慢性健康状况Ⅱ(APACHE Ⅱ)评分(HR1.148)、热毒转虚证型(HR=2.667)是脓毒症患者28 d死亡的风险因子(P<0.05).ROC曲线显示,联合PLT、白细胞计数、SOFA评分、APACHE Ⅱ评分、中医证候演变轨迹的预测模型预测脓毒症患者28 d死亡风险的曲线下面积(AUC)0.938,高于单独指标的预测值.结论 脓毒症患者中医证候演变轨迹具异质性,存在不同类别的演变趋势,且热毒转虚证型是脓毒症患者28 d死亡的风险因子,联合预测模型可辅助用于临床识别脓毒症患者28 d死亡的高风险人群.

Objective:To explore the dynamic evolution trajectory of traditional Chinese medicine(TCM)syn-dromes in patients with early sepsis,construct a 28-day mortality risk prediction model for sepsis patients based on the dynamic evolution of TCM syndromes,and analyze its predictive value.Methods:A total of 131 patients with sepsis admitted to Cangzhou Hospital of Integrated Traditional Chinese and western Medicine in Hebei Prov-ince from February 2022 to January 2024 were included.TCM syndrome assessments were performed at 0 h,24 h,and 48 h.The group-based trajectory model(GBTM)was used to analyze the dynamic evolution trajectory of TCM syndromes in sepsis patients.Multivariate Cox regression analysis was used to analyze the relationship between the TCM syndrome evolution trajectory and 28-day mortality risk,construct a prediction model for mortality risk in sepsis patients,and evaluate its predictive efficacy.Results:The optimal model fitted by GBTM divided the TCM syndrome evolution trajectories of sepsis patients into 3 subgroups:the persistent heat-toxin and blood stasis syn-drome group,the heat-toxin transforming to deficiency syndrome group,and the whole-course deficiency syndrome group.Multivariate Cox regression analysis showed that platelet(PLT)(HR=0.992),white blood cell count(HR=1.104),Sequential Organ Failure Assessment(SOFA)score(HR=1.252),Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score(HR=1.148),and heat-toxin transforming to deficiency syndrome(HR=2.667)were risk factors for 28-day mortality in sepsis patients(P<0.05).The receiver operating characteristic(ROC)curve showed that the prediction model combining PLT,white blood cell count,SOFA score,APACHE Ⅱ score,and TCM syndrome evolution trajectory had a higher area under the curve(AUC)of 0.938 for predicting 28-day mortality risk in sepsis patients than individual indicators.Conclusion:The evolution trajectories of TCM syn-dromes in sepsis patients are heterogeneous with different evolution trends.The heat-toxin transforming to deficien-cy syndrome is a risk factor for 28-day mortality in sepsis patients,and the combined prediction model can assist in clinically identifying high-risk groups for 28-day mortality in sepsis patients.

申建国;陈羽;王健

河北省沧州中西医结合医院,河北沧州 061000河北省沧州中西医结合医院,河北沧州 061000河北省沧州中西医结合医院,河北沧州 061000

医药卫生

脓毒症中医证候预后28d死亡风险

SepsisTraditional Chinese medicineSyndromePrognosis28-day mortality risk

《中国中医急症》 2026 (6)

650-654,5

河北省中医药管理局科研计划项目(2022232)

10.3969/j.issn.1004-745X.2026.06.006

评论