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[铁调素作为危重症成年患者脓毒症诊断生物标志物的价值]

[Value of Hepcidin as a diagnostic biomarker of sepsis in critically ill adults].

作者信息

Qiu Zeliang, Shen Kan, Shu Ming, Xu Dongwei, Deng Xingqi, Chen Dechang

机构信息

Department of Intensive Care Unit, Zhoupu Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai 201318, China (Qiu ZL, Shen K, Shu M, Xu DW, Deng XQ); Department of Intensive Care Unit, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China (Chen DC). Corresponding author: Chen Dechang, Email:

出版信息

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018 Jul;30(7):652-657. doi: 10.3760/cma.j.issn.2095-4352.2018.07.007.

Abstract

OBJECTIVE

To investigate the diagnostic value of Hepcidin as a sepsis biomarker in critically ill adults.

METHODS

An observational study was conducted. The patients with suspected or proven infection admitted to intensive care unit (ICU) of Zhoupu Hospital Affiliated to Shanghai University of Medicine and Health Sciences from March 2016 to November 2017 were enrolled. According to the third international consensus definitions for sepsis and septic shock (Sepsis-3), the patients were divided into non-sepsis group and sepsis group, and the septic patients were subdivided into general sepsis subgroup and septic shock subgroup according to the severity of disease. The differences in serum Hepcidin, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), procalcitonin (PCT), C-reactive protein (CRP), white blood cell (WBC), neutrophil granulocytes (NEUT) and lactic acid (Lac) within 1 hour after ICU admission between non-sepsis and sepsis groups and among the sepsis subgroups were compared. The acute physiology and chronic health evaluation II (APACHE II) within 24 hours after ICU admission and sequential organ failure score (SOFA) were recorded, and the mortality rate was followed up for 28 days. Receiver operation characteristic curve (ROC) was used to evaluate and compare the diagnostic value of Hepcidin and PCT, CRP, WBC for sepsis. Logistic regression model was used to estimate the association between Hepcidin and sepsis. Spearman correlation analysis was used to analyze the correlation between Hepcidin and other parameters of sepsis patients.

RESULTS

A total of 183 patients were enrolled, 93 in the non-sepsis group and 90 in the sepsis group (48 with general sepsis and 42 with septic shock). (1) The levels of Hepcidin, IL-6, TNF-α, PCT, Lac in serum, and APACHE II and SOFA scores in the sepsis group were significantly higher than those in the non-sepsis group. ROC analysis showed that the area under the ROC curve (AUC) of Hepcidin and PCT for sepsis diagnosis were 0.865 [95% confidence interval (95%CI) = 0.807-0.911] and 0.848 (95%CI = 0.788-0.897), respectively, without statistical significance (Z = 0.443, P = 0.657). Furthermore, the AUC of Hepcidin for sepsis diagnosis was significantly higher than that of the conventional biomarkers CRP and WBC [AUC was 0.530 (95%CI = 0.455-0.604) and 0.527 (95%CI = 0.452-0.601), respectively] with statistical significance (both P < 0.01). When Hepcidin > 54.00 μg/L, its sensitivity for sepsis diagnosis was 95.56%, specificity was 66.67%, positive and negative predictive value was 73.51% and 93.94%, respectively. Parallel test was conducted for combination of Hepcidin and PCT, which showed that the AUC was 0.885, and the sensitivity and negative predictive value was significantly improved to 98.96% and 98.36%, respectively. Logistic regression analysis demonstrated that after adjusted for PCT, Hepcidin > 54.00 μg/L was also associated with sepsis independently, with odds ratio (OR) of 1.011 (95%CI = 1.008-1.015, P < 0.001), indicating that Hepcidin and PCT were not completely overlapped in the diagnosis of sepsis. (2) With the increase in infection severity, serum Hepcidin, PCT, IL-6, TNF-α, Lac, APACHE II, SOFA score and 28-day mortality all showed an increasing trend in patients. There was a significantly positive correlation between Hepcidin and IL-6, TNF-α, PCT, APACHE II, and SOFA in the sepsis patients (r value was 0.526, 0.449, 0.591, 0.359, and 0.374, respectively, all P < 0.01), but no correlation was found between Hepcidin and Lac (r = 1.104, P > 0.05).

CONCLUSIONS

Serum Hepcidin is a useful biomarker for the diagnosis of sepsis, and it is correlated to the severity of the sepsis. The combination of Hepcidin and PCT can improve the accuracy of diagnosis of sepsis.

CLINICAL TRIAL REGISTRATION

China Clinical Trial Registration Center, ChiCTR-DDD-16008522.

摘要

目的

探讨铁调素作为脓毒症生物标志物在危重症成年患者中的诊断价值。

方法

进行一项观察性研究。纳入2016年3月至2017年11月在上海健康医学院附属周浦医院重症监护病房(ICU)收治的疑似或确诊感染患者。根据脓毒症和脓毒性休克的第三次国际共识定义(Sepsis-3),将患者分为非脓毒症组和脓毒症组,脓毒症患者再根据疾病严重程度分为一般脓毒症亚组和脓毒性休克亚组。比较非脓毒症组与脓毒症组以及脓毒症各亚组患者入住ICU后1小时内血清铁调素、白细胞介素-6(IL-6)、肿瘤坏死因子-α(TNF-α)、降钙素原(PCT)、C反应蛋白(CRP)、白细胞(WBC)、中性粒细胞(NEUT)和乳酸(Lac)的差异。记录入住ICU后24小时内的急性生理与慢性健康状况评分II(APACHE II)和序贯器官衰竭评分(SOFA),并随访28天的死亡率。采用受试者工作特征曲线(ROC)评估和比较铁调素与PCT、CRP、WBC对脓毒症的诊断价值。采用Logistic回归模型估计铁调素与脓毒症之间的关联。采用Spearman相关性分析分析铁调素与脓毒症患者其他参数之间的相关性。

结果

共纳入183例患者,非脓毒症组93例,脓毒症组90例(一般脓毒症48例,脓毒性休克42例)。(1)脓毒症组血清铁调素、IL-6、TNF-α、PCT、Lac水平以及APACHE II和SOFA评分均显著高于非脓毒症组。ROC分析显示,铁调素和PCT诊断脓毒症的ROC曲线下面积(AUC)分别为0.865 [95%置信区间(95%CI)=0.807-0.911]和0.848(95%CI =0.788-0.897),差异无统计学意义(Z =0.443,P =0.657)。此外,铁调素诊断脓毒症的AUC显著高于传统生物标志物CRP和WBC [AUC分别为0.530(95%CI =0.455-0.604)和0.527(95%CI =0.452-0.601)],差异有统计学意义(均P <0.01)。当铁调素>54.00μg/L时,其诊断脓毒症的灵敏度为95.56%,特异度为66.67%,阳性预测值和阴性预测值分别为73.51%和93.94%。对铁调素和PCT进行并联试验,结果显示AUC为0.885,灵敏度和阴性预测值分别显著提高至98.96%和98.36%。Logistic回归分析表明,校正PCT后,铁调素>54.00μg/L仍与脓毒症独立相关,比值比(OR)为1.011(95%CI =1.008-1.015,P <0.001),表明铁调素和PCT在脓毒症诊断中并非完全重叠。(2)随着感染严重程度增加,患者血清铁调素、PCT、IL-6、TNF-α、Lac、APACHE II、SOFA评分及28天死亡率均呈上升趋势。脓毒症患者中铁调素与IL-6、TNF-α、PCT、APACHE II和SOFA呈显著正相关(r值分别为0.526、0.449、0.591、0.359和0.374,均P <0.01),但铁调素与Lac无相关性(r =1.104,P >0.05)。

结论

血清铁调素是诊断脓毒症的有用生物标志物,且与脓毒症严重程度相关。铁调素与PCT联合可提高脓毒症诊断的准确性。

临床试验注册

中国临床试验注册中心,ChiCTR-DDD-16008522。

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