首页|联合B7-H3和HPT预测脓毒症患者预后不良及列线图预测模型构建

联合B7-H3和HPT预测脓毒症患者预后不良及列线图预测模型构建

Combined B7-H3 and HPT to predict poor prognosis in patients with sepsis and construct a nomogram prediction model

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目的 分析血清B7-H3、触珠蛋白(HPT)水平与脓毒症患者病情及预后关系,并分析预后不良的影响因素,构建列线图预测模型.方法 选取汉中市三二○一医院2018年7月—2021年7月收治的325例脓毒症患者,根据是否休克分为脓毒症休克组(105例)和脓毒症非休克组(220例),观察脓毒症患者住院治疗28 d的生存情况,并分为生存组(200例)和死亡组(125例),记录患者一般资料,检测患者入院第1天血清指标,采用酶联免疫吸附法动态监测患者血清B7-H3和HPT表达水平.采用Logistic回归分析模型和R软件构建列线图预测患者预后不良模型.使用Hosmer-Lemeshow拟合优度检验、校准曲线、ROC曲线对本研究构建的列线图模型预测效能进行评估.结果 入院1、2、7、14d动态监测患者血清B7-H3、HPT发现,休克组高于非休克组,死亡组高于生存组,差异有统计学意义(P<0.05).Logistic回归分析结果显示,中性粒细胞百分比(NEU)、C-反应蛋白(CRP)、降钙素原(PCT)、血肌酐(SCr)、序贯器官衰竭评分(SOFA)、白细胞计数(WBC)、血小板(PLT)及B7-H3、HPT是脓毒症患者预后不良的影响因素(P<0.05);入院第1天B7-H3、HPT水平联合预测脓毒症患者预后不良的AUC明显优于各指标单独预测(P<0.05),校准曲线及Hosmer-Lemeshow拟合优度检验脓毒症患者预后不良预测模型(M2),校准曲线斜率接近1(P>0.05).结论 脓毒症患者血清中B7-H3、HPT异常高表达,与患者病情及预后密切相关,二者联合提高预测脓毒性患者预后不良的准确性.
Objective The relationship between serum B7-H3 and haptoglobin(HPT)levels and the condition and prognosis of patients with sepsis was analyzed,and the influencing factors of poor prognosis were analyzed to construct a nomogram prediction model.Methods A total of 325 patients with sepsis admitted to Hanzhong 3201 Hospital from July 2018 to July 2021 were selected as the study group.According to whether there was shock,they were divided into septic shock group(105 cases)and septic non-shock group(220 cases).The 28-day survival of patients with sepsis was observed and divided into survival group(200 cases)and death group(125 cases).The general data of the patients were recorded.The serum indexes of the patients on the first day of admission were detected.The expression levels of serum B7-H3 and HPT were dynamically monitored by enzyme-linked immunosorbent assay.Logistic regression analysis model and R software were used to construct a nomogram to diagnose shock model and predict poor prognosis model in patients with sepsis.Hosmer-Lemeshow goodness of fit test,calibration curve and ROC curve were used to evaluate the diagnostic and predictive efficacy of the nomogram model constructed in this study.Results Serum B7-H3 was dynamically monitored at 1 day,2 days,7 days and 14 days after admission.HPT showed that the shock group was higher than the non-shock group,and the death group was always higher than the survival group.The difference was statistically significant(P<0.05).Logistic regression analysis showed that neutrophil percentage(NEU),C-reactive protein(CRP),procalcitonin(PCT),serum creatinine(SCr),sequential organ failure score(SOFA),white blood cell count(WBC),platelet(PLT),B7-H3 and HPT were the influencing factors of poor prognosis in patients with sepsis(P<0.05).On the first day of admission,the AUC of B7-H3 and HPT levels combined to predict the poor prognosis of sepsis patients was significantly better than that of each index alone(P<0.05).The calibration curve and Hosmer-Lemeshow goodness of fit test the poor prognosis prediction model(M2)of sepsis patients,and the slope of the calibration curve was close to 1(P>0.05).Conclusion The abnormal expression of B7-H3 and HPT in the serum of patients with sepsis is closely related to the patient's condition and prognosis,and the combination of the two improves the accuracy of predicting poor prognosis in patients with sepsis.

SepsisB7-H3HaptoglobinConditionPrognosisNomogram model

李刚、王成立、马丽、何明森

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汉中市三二○一医院重症医学科,陕西汉中 723000

脓毒症 B7-H3 触珠蛋白 病情 预后 列线图模型

2024

中国急救复苏与灾害医学杂志
中国医学救援学会

中国急救复苏与灾害医学杂志

CSTPCD
影响因子:0.568
ISSN:1673-6966
年,卷(期):2024.19(1)
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