摘要
目的探讨L-选择素(L-Selectin)、降钙素原(PCT)、波状蛋白(VIM)在脓毒症患者中表达及意义。方法选取2018年1月至2019年12月本院收治的102例脓毒症患者,其中35例脓毒症(脓毒症组)、36例严重脓毒症(严重脓毒症组)及31例脓毒症休克(脓毒症休克组),并选取35例健康体检者作为对照组。比较各组、不同预后患者L-Selectin、PCT、VIM表达及急性生理和慢性健康状况评分(APACHEⅡ)、序贯器官衰竭估计评分(SOFA)。结果 L-Selectin与PCT、VIM呈正相关,PCT与VIM呈正相关,差异有统计学意义(P<0.05);L-Selectin、PCT、VIM表达与APACHEⅡ、SOFA评分均呈正相关(P<0.05);三指标联合预测病死的AUC为0.890,敏感度为81.48%,特异度为84.00%(P<0.05)。结论脓毒症患者L-Selectin、PCT、VIM表达随病情加重逐渐升高,与患者病情、预后密切相关,有望成为预测预后的血清学标志物。
Objective To explore the expression and significance of L-Selectin,procalcitonin(PCT) and Vimentin(VIM) in patients with sepsis. Methods 102 patients with sepsis admitted to our hospital from January 2018 to December 2019 were selected,among them,35 cases of sepsis(septic group),36 cases of severe sepsis(severe sepsis group)and 31 cases of septic shock(septic shock group),and 35 healthy people were selected as the control group. The expressions of L-Selectin,PCT,VIM,Acute Physiological and Chronic Health Status Score(APACHEⅡ),Sequential Organ Failure Assessment Score(SOFA) of each group and patients with different prognosis were compared. Results L-Selectin was positively correlated with PCT and VIM,and PCT was positively correlated with VIM(P<0.05);the expressions of L-Selectin,PCT and VIM were positively correlated with APACHEⅡand SOFA scores(P<0.05). The AUC of the combined prediction of the three indicators for death was 0.890,the sensitivity was81.48%,and the specificity was 84.00 %(P<0.05)compared with the survival curves of patients with high expression of L-Selectin,PCT,and VIM. Conclusion The expressions of L-Selectin,PCT,and VIM in sepsis patients gradually increase with the severity of the disease,and are closely related to the patient s condition and prognosis,and are expected to become serological markers for predicting prognosis.
作者
胡仕静
潘爱军
梅清
HU ShiJing;PAN AiJun;MEI Qing(Department of Critical Care Medicine,the First Affiliated Hospital of University of Science and Technology of China(Anhui Provincial Hospital),Hefei,Anhui,China,230001)
出处
《分子诊断与治疗杂志》
2020年第9期1195-1199,共5页
Journal of Molecular Diagnostics and Therapy
基金
2018年度安徽省自然科学基金项目(1808085MH300)。
