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[T淋巴细胞亚群联合炎症指标用于脓毒症的辅助诊断及预后评估]

[T lymphocyte subsets combined with inflammatory indicators for auxiliary diagnosis and prognosis evaluation of sepsis].

作者信息

Li F F, Yang L, Wang D Q, He W J, Wang C, Mu H

机构信息

The First Central Clinical College of Tianjin Medical University,Clinical Laboratory, Tianjin First Central Hospital,Key Laboratory of Tianjin Institute of Emergency Medicine, Tianjin 300192, China.

Department of Integrated Traditional and Western Medicine, Tianjin First Central Hospital,Tianjin 300192, China.

出版信息

Zhonghua Yu Fang Yi Xue Za Zhi. 2022 Apr 6;56(4):494-502. doi: 10.3760/cma.j.cn112150-20210810-00775.

DOI:10.3760/cma.j.cn112150-20210810-00775
PMID:35488549
Abstract

To explore the application value of T lymphocyte subsets combined with procalcitonin (PCT), C-reactive protein (CRP), neutrophil to lymphocyte ratio (NLR) and white blood cell count (WBC) in the auxiliary diagnosis and prognosis evaluation of sepsis. In a retrospective study, seventy-two patients with sepsis diagnosed and treated in Tianjin First Central Hospital from June 2018 to April 2021 were selected as the research objects, and included in the sepsis group were 46 males and 26 females, aged 68 (57.3, 80.3) years. In addition, 111 patients with local infection admitted to hospital during the same period were included in the local infection group, including 62 males and 49 females, aged 68 (51, 77) years. Sepsis patients were divided into survival group (43 cases) and death group (29 cases) according to the 28-day outcome. CD3, CD4, CD8, CD4/CD8 ratio were detected by flow cytometry within 24 h after admission, PCT was detected by ELISA, CRP was detected by immunoturbidimetry, blood routine examination, blood lactic acid (Lac) and oxygen partial pressure (PO) were detected by instrumental method. Multivariate Logistic regression analysis was used to evaluate the correlation between each indicator and sepsis, and receiver operating characteristic curve (ROC) was drawn to evaluate the diagnostic value of each indicator for sepsis. Multivariate Logistic regression analysis and Kaplan Meier survival analysis were used to evaluate the prognostic value of each index for patients with sepsis. Peripheral blood CD3, CD4, CD8, CD4/CD8 ratio and PLT in sepsis group were significantly lower than those in local infection group(=-8.184,<0.001;=-7.210,<0.001;=-5.936,<0.001;=-2.700,=0.007;=-6.381,<0.001); PCT, CRP, NLR and Lac levels were significantly higher than those in local infection group(=-8.262,<0.001;=-3.094,=0.002;=-9.004,<0.001;=-4.770,<0.001). Multivariate Logistic regression model showed that PCT, NLR, CD3, CD8, CD4/CD8 were independent risk factors for sepsis. According to ROC curve analysis, AUC of sepsis patients diagnosed by each indicator were 0.862, 0.894, 0.858, 0.760 and 0.618, respectively. The cut-off values were 3.075 ng/ml, 10.715, 44.935×10/L, 27.463×10/L and 0.750, respectively. The NLR sensitivity was 80.6%, and the CD3 specificity was 94.6%. The AUC of combined detection of PCT and NLR was 0.947, sensitivity was 87.5% and specificity was 91.9%. The combined detection AUC of PCT, NLR, CD3, CD4/CD8 was 0.958, the sensitivity and specificity were 90.3% and 91.0% respectively(<0.001). PCT and Lac in death group were significantly higher than those in survival group(=-2.302,=0.021;=-3.095,=0.002);Peripheral blood CD4/CD8 levels were significantly lower than those in survival group(=-3.691,<0.001),Multivariate Logistic regression model showed that CD4/CD8 ratio was an independent risk factor for 28 d mortality in patients with sepsis (<0.001). The ROC curve showed that the AUC was 0.758, and the Youden index reached the maximum when the cut-off value was 1.27, the sensitivity and specificity were 79.3% and 60.5%, respectively. Compared with patients with CD4/CD8 ≥1.27, 28-day mortality was significantly increased in patients with CD4/CD8<1.27 (=0.032). The combined detection of PCT, NLR, CD3 and CD4/CD8 can improve the auxiliary diagnostic efficiency of sepsis, and the ratio of CD4/CD8 in peripheral blood may have certain predictive value for the prognosis of sepsis.

摘要

探讨T淋巴细胞亚群联合降钙素原(PCT)、C反应蛋白(CRP)、中性粒细胞与淋巴细胞比值(NLR)及白细胞计数(WBC)在脓毒症辅助诊断及预后评估中的应用价值。在一项回顾性研究中,选取2018年6月至2021年4月在天津市第一中心医院诊断并治疗的72例脓毒症患者作为研究对象,其中男性46例,女性26例,年龄68(57.3,80.3)岁。此外,将同期收治的111例局部感染患者纳入局部感染组,其中男性62例,女性49例,年龄68(51,77)岁。根据28天预后情况将脓毒症患者分为存活组(43例)和死亡组(29例)。入院后24小时内采用流式细胞术检测CD3、CD4、CD8、CD4/CD8比值,采用酶联免疫吸附测定法检测PCT,采用免疫比浊法检测CRP,采用仪器法检测血常规、血乳酸(Lac)及氧分压(PO)。采用多因素Logistic回归分析评估各指标与脓毒症的相关性,并绘制受试者工作特征曲线(ROC)评估各指标对脓毒症的诊断价值。采用多因素Logistic回归分析和Kaplan Meier生存分析评估各指标对脓毒症患者的预后价值。脓毒症组外周血CD3、CD4、CD8、CD4/CD8比值及血小板(PLT)均显著低于局部感染组(=-8.184,<0.001;=-7.210,<0.001;=-5.936,<0.001;=-2.700,=0.007;=-6.381,<0.001);PCT、CRP、NLR及Lac水平均显著高于局部感染组(=-8.262,<0.001;=-3.094,=0.002;=-9.004,<0.001;=-4.770,<0.001)。多因素Logistic回归模型显示,PCT、NLR、CD3、CD8、CD4/CD8是脓毒症的独立危险因素。根据ROC曲线分析,各指标诊断脓毒症患者的AUC分别为0.862、0.894、0.858、0.760及0.618。截断值分别为3.075 ng/ml、10.715、44.935×10/L、27.463×10/L及0.750。NLR的灵敏度为80.6%,CD3的特异度为94.6%。PCT与NLR联合检测的AUC为0.947,灵敏度为87.5%,特异度为91.9%。PCT、NLR、CD3、CD4/CD8联合检测的AUC为0.958,灵敏度和特异度分别为90.3%和91.0%(<0.001)。死亡组PCT及Lac显著高于存活组(=-2.302,=0.021;=-3.095,=0.002);外周血CD4/CD8水平显著低于存活组(=-3.691,<0.001),多因素Logistic回归模型显示,CD4/CD8比值是脓毒症患者28天死亡的独立危险因素(<0.001)。ROC曲线显示,AUC为0.758,截断值为1.27时约登指数最大,灵敏度和特异度分别为79.3%和60.5%。与CD4/CD8≥1.27的患者相比,CD4/CD8<1.27的患者28天死亡率显著升高(=0.032)。PCT、NLR、CD3及CD4/CD8联合检测可提高脓毒症的辅助诊断效率,外周血CD4/CD8比值对脓毒症预后可能具有一定的预测价值。

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