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炎症生物标志物在预测脓毒症患者预后及对抗菌治疗反应中的动态评估

The Dynamical Assessment of Inflammatory Biomarkers in Predicting the Outcome of Septic Patients and the Response to Antimicrobial Therapy.

作者信息

Orfanu Alina, Aramă Victoria, Popescu Cristina, Tilişcan Cătălin, Streinu-Cercel Adrian, Aramă Ştefan Sorin

机构信息

National Institute for Infectious Diseases "Prof. Dr. Matei Bals", Bucharest Romania.

University of Medicine and Pharmacy "Carol Davila", Bucharest Romania.

出版信息

J Crit Care Med (Targu Mures). 2020 Jan 31;6(1):25-31. doi: 10.2478/jccm-2020-0004. eCollection 2020 Jan.

Abstract

AIMS

To evaluate the kinetics of inflammatory biomarkers in septic patients in order to identify the most reliable predictor of unfavorable outcome.

METHODS

A prospective analysis of septic patients was performed. Median levels of neutrophil/lymphocyte count ratio, fibrinogen, C-reactive protein and procalcitonin were dynamically assessed and comparatively analyzed.

RESULTS

Seventy-seven patients were included. Descendent kinetic patterns were registered for all biomarkers, except C-reactive protein. At 24 hours, neutrophil/lymphocyte count ratio significantly decreased in 42.85% of cases, procalcitonin in 37.33%, C-reactive protein in 16.12% and fibrinogen in 1.58% of cases. At 72 hours, procalcitonin decreased to one-half in 70% of cases and neutrophil/lymphocyte count ratio in 67.53% of cases.

CONCLUSIONS

Neutrophil/lymphocyte count ratio and procalcitonin significantly decreased in the first 72 hours, while C-reactive protein increased in the first 24 hours. The proportions of patients with major decrease of baseline values were higher for neutrophil/lymphocyte count ratio and procalcitonin.

摘要

目的

评估脓毒症患者炎症生物标志物的动力学变化,以确定不良预后最可靠的预测指标。

方法

对脓毒症患者进行前瞻性分析。动态评估并比较中性粒细胞/淋巴细胞计数比值、纤维蛋白原、C反应蛋白和降钙素原的中位数水平。

结果

纳入77例患者。除C反应蛋白外,所有生物标志物均呈现下降的动力学模式。在24小时时,42.85%的病例中性粒细胞/淋巴细胞计数比值显著下降,37.33%的病例降钙素原下降,16.12%的病例C反应蛋白下降,1.58%的病例纤维蛋白原下降。在72小时时,70%的病例降钙素原降至一半,67.53%的病例中性粒细胞/淋巴细胞计数比值下降。

结论

中性粒细胞/淋巴细胞计数比值和降钙素原在最初72小时显著下降,而C反应蛋白在最初24小时升高。中性粒细胞/淋巴细胞计数比值和降钙素原基线值大幅下降的患者比例更高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2564/7029408/a2ecb1944ab5/jccm-06-025-g001.jpg

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