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采用 C 反应蛋白、降钙素原、中性粒细胞 CD64 指数的多标志物方法对重症监护病房脓毒症的预后评估:一项回顾性队列研究。

Multi-marker approach using C-reactive protein, procalcitonin, neutrophil CD64 index for the prognosis of sepsis in intensive care unit: a retrospective cohort study.

机构信息

Foshan Hospital of Traditional Chinese Medicine, Foshan, China.

Department of Critical Care Medicine, The First Affiliated Hospital of GuangZhou University of Chinese Medicine, Guangzhou, China.

出版信息

BMC Infect Dis. 2022 Jul 30;22(1):662. doi: 10.1186/s12879-022-07650-6.

DOI:10.1186/s12879-022-07650-6
PMID:35907785
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9339197/
Abstract

BACKGROUND

We aimed to explore the prognostic utilities of C-reactive protein (CRP), procalcitonin (PCT), neutrophil CD64 (nCD64) index, in combination or alone, in septic patients.

METHODS

We retrospectively included 349 septic patients (based on Sepsis 3.0 definition). The primary outcome was 28-day all-cause mortality. Cox regression model, receiver-operating characteristic (ROC) curve, reclassification analysis, Kaplan-Meier survival curves were performed to evaluate the predictive efficacy of the above parameters.

RESULTS

CRP, nCD64 index were independent predictors of 28-day mortality for sepsis in the Cox regression model [CRP, HR 1.004 (95% CI 1.002-1.006), P < 0.001; nCD64 index, HR 1.263 (95% CI 1.187-1.345, P < 0.001]. Area under the ROC curve (AUC) of CRP, PCT, nCD64 index, nCD64 index plus PCT, nCD64 index plus CRP, were 0.798 (95% CI 0.752-0.839), 0.833 (95% CI 0.790-0.871), 0.906 (95% CI 0.870-0.935), 0.910 (95% CI 0.875-0.938), 0.916 (95% CI 0.881-0.943), respectively. nCD64 plus CRP performed best in prediction, discrimination, and reclassification of the 28-day mortality risk in sepsis. The risk of 28-day mortality increased stepwise as the number of data exceeding optimal cut-off values increased.

CONCLUSIONS

nCD64 index combined with CRP was superior to CRP, PCT, nCD64 index and nCD64 index plus PCT in predicting 28-day mortality in sepsis. Multi-marker approach could improve the predictive accuracy and be beneficial for septic patients.

摘要

背景

本研究旨在探讨 C 反应蛋白(CRP)、降钙素原(PCT)、中性粒细胞 CD64(nCD64)指数单独及联合检测对脓毒症患者预后的预测价值。

方法

回顾性纳入 2018 年 1 月至 2020 年 12 月间 349 例脓毒症患者(根据 Sepsis 3.0 定义)。主要终点为 28 天全因死亡率。采用 Cox 回归模型、受试者工作特征(ROC)曲线、再分类分析、Kaplan-Meier 生存曲线评估上述参数的预测效能。

结果

在 Cox 回归模型中,CRP、nCD64 指数是 28 天死亡率的独立预测因素[CRP,HR 1.004(95%CI 1.002-1.006),P<0.001;nCD64 指数,HR 1.263(95%CI 1.187-1.345,P<0.001]。CRP、PCT、nCD64 指数、nCD64 指数+PCT、nCD64 指数+CRP 的 ROC 曲线下面积(AUC)分别为 0.798(95%CI 0.752-0.839)、0.833(95%CI 0.790-0.871)、0.906(95%CI 0.870-0.935)、0.910(95%CI 0.875-0.938)、0.916(95%CI 0.881-0.943)。nCD64+CRP 在预测、鉴别和重新分类脓毒症 28 天死亡率风险方面表现最佳。随着超过最佳截断值的数据数量的增加,28 天死亡率的风险呈阶梯式增加。

结论

nCD64 指数联合 CRP 预测脓毒症 28 天死亡率优于 CRP、PCT、nCD64 指数和 nCD64 指数+PCT。多标志物方法可提高预测准确性,有利于脓毒症患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5a2/9339197/e37b34ad697e/12879_2022_7650_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5a2/9339197/2f79a57e077f/12879_2022_7650_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5a2/9339197/8f8f40453d4d/12879_2022_7650_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5a2/9339197/e37b34ad697e/12879_2022_7650_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5a2/9339197/2f79a57e077f/12879_2022_7650_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5a2/9339197/8f8f40453d4d/12879_2022_7650_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5a2/9339197/e37b34ad697e/12879_2022_7650_Fig3_HTML.jpg

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本文引用的文献

1
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Shock. 2022 Apr 1;57(4):518-525. doi: 10.1097/SHK.0000000000001900.
2
Circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome.循环淋巴细胞亚群作为有前途的生物标志物,可识别出发生不良预后风险更高的脓毒症患者。
BMC Infect Dis. 2021 Aug 9;21(1):780. doi: 10.1186/s12879-021-06481-1.
3
Ratio of serum procalcitonin to monocytic HLA-DR as a reliable parameter in prognosis prediction of sepsis.
基于中性粒细胞与淋巴细胞比值(NPR)和校正淋巴细胞比值(CLR)的列线图模型在老年鲍曼不动杆菌血流感染患者中的预后价值
BMC Geriatr. 2025 Apr 9;25(1):234. doi: 10.1186/s12877-025-05884-y.
4
Use of C-Reactive Protein in Global Leadership Initiative on Malnutrition (GLIM) Etiologic Criteria for Critically Ill Patients: A Retrospective Claims Database Study.C反应蛋白在全球营养不良领导倡议(GLIM)重症患者病因学标准中的应用:一项回顾性索赔数据库研究
Nutrients. 2025 Feb 16;17(4):705. doi: 10.3390/nu17040705.
5
Optical Bionanosensors for Sepsis Diagnostics.用于脓毒症诊断的光学生物纳米传感器
Small. 2025 Feb;21(8):e2409042. doi: 10.1002/smll.202409042. Epub 2025 Jan 2.
6
The value of lymphocyte-to-C-reactive protein ratio for predicting clinical outcomes in patients with sepsis in intensive care unit: a retrospective single-center study.淋巴细胞与C反应蛋白比值对预测重症监护病房脓毒症患者临床结局的价值:一项回顾性单中心研究
Front Mol Biosci. 2024 Sep 13;11:1429372. doi: 10.3389/fmolb.2024.1429372. eCollection 2024.
7
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Infez Med. 2024 Sep 1;32(3):363-368. doi: 10.53854/liim-3203-10. eCollection 2024.
8
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9
Sepsis Biomarkers: Advancements and Clinical Applications-A Narrative Review.脓毒症生物标志物:进展与临床应用——叙述性综述。
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10
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Front Public Health. 2024 May 22;12:1395134. doi: 10.3389/fpubh.2024.1395134. eCollection 2024.
降钙素原与单核细胞 HLA-DR 比值作为脓毒症预后预测的可靠参数。
Clin Chim Acta. 2021 Aug;519:94-100. doi: 10.1016/j.cca.2021.04.011. Epub 2021 Apr 20.
4
Effects of Neutrophil-to-Lymphocyte Ratio Combined With Interleukin-6 in Predicting 28-Day Mortality in Patients With Sepsis.中性粒细胞与淋巴细胞比值联合白细胞介素-6预测脓毒症患者 28 天病死率的效果。
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5
Comparison of the clinical application values of PCT, hs-CRP and SAA detection in the early diagnosis of sepsis.降钙素原(PCT)、超敏C反应蛋白(hs-CRP)及血清淀粉样蛋白A(SAA)检测在脓毒症早期诊断中的临床应用价值比较
Pak J Med Sci. 2020 Nov-Dec;36(7):1683-1687. doi: 10.12669/pjms.36.7.2544.
6
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7
Biomarkers of sepsis: time for a reappraisal.脓毒症的生物标志物:重新评估的时候到了。
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9
Calculating the sample size required for developing a clinical prediction model.计算开发临床预测模型所需的样本量。
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C-reactive protein as a prognostic factor in intensive care admissions for sepsis: A Swedish multicenter study.C-反应蛋白作为脓毒症重症监护入院的预后因素:一项瑞典多中心研究。
J Crit Care. 2020 Apr;56:73-79. doi: 10.1016/j.jcrc.2019.12.009. Epub 2019 Dec 11.