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SEPSIGN:急诊科脓毒症体征的早期识别

SEPSIGN: early identification of sepsis signs in emergency department.

作者信息

Lafon Thomas, Cazalis Marie-Angélique, Hart Kimberly W, Hennessy Cassandra, Tazarourte Karim, Self Wesley H, Akhavan Arvin Radfar, Laribi Saïd, Viglino Damien, Douplat Marion, Ginde Adit A, Tolou Sophie, Mahler Simon A, Le Borgne Pierrick, Claessens Yann-Erick, Yordanov Youri, Le Bastard Quentin, Pancher Agathe, Ducharme Jim, Lindsell Christopher J, Shapiro Nathan I

机构信息

Emergency Department and Inserm CIC 1435, Dupuytren University Hospital, 2 Avenue Martin Luther King, 87042, Limoges, France.

Medical Diagnostic Discovery Department MD3, bioMerieux SA, Marcy L'Etoile, France.

出版信息

Intern Emerg Med. 2024 Oct 30. doi: 10.1007/s11739-024-03802-5.

DOI:10.1007/s11739-024-03802-5
PMID:39477836
Abstract

Because 20-30% of patients with sepsis deteriorate to critical illness, biomarkers that provide accurate early prognosis may identify which patients need more intensive treatment versus safe early discharge. The objective was to test the performance of sVEGFR2, suPAR and PCT, alone or combined with clinical signs and symptoms, for the prediction of clinical deterioration. This prospective observational study enrolled patients with suspected infection who met SIRS criteria without organ dysfunction (delta SOFA <2 from baseline) from 16 emergency departments. The primary endpoint was clinical deterioration (increased SOFA score ≥2 points, new or increased organ support, or death) within 72 hours of enrollment. Diagnosis and classification of infection status were adjudicated. 724 patients were enrolled, (54% men, median age 55 [38-70] y-o). Infection origin was abdominopelvic (21%), skin and soft tissues (17%), urinary (16%) and pulmonary (15%). 176 (24%) patients deteriorated, with a 28-day mortality of 1.4%. They had lower sVEGFR2 level (6.17 [5.00-7.40] vs 6.52 [5.40-7.84], p=0.024), higher circulating suPAR (5.25 [3.86-7.50] vs 4.18 [3.16-5.68], p<0.001) and higher PCT level (0.32 [0.08-1.80] vs 0.18 [0.05-0.98], p=0.004). suPAR demonstrated superior performance (AUC=0.65 [0.60-0.70]), compared to other biomarkers (PCT, AUC=0.57 [0.52-0.62] and sVEGFR2, AUC=0.58 [0.53-0.64]). Maximum accuracy was achieved from the combination of clinical information, sVEGFR2 and suPAR, yielding an AUC of 0.74 [0.69-0.78] and NPV 0.90 [0.88-0.94]. sVEGFR2 and suPAR were insufficiently accurate to rule out clinical deterioration. Panels of biomarkers will likely be needed to capture the heterogeneous mechanistic pathways involved in sepsis-related organ failure.

摘要

由于20%-30%的脓毒症患者会恶化为危重症,能够提供准确早期预后的生物标志物可识别哪些患者需要更强化的治疗,哪些患者可安全地早期出院。目的是测试可溶性血管内皮生长因子受体2(sVEGFR2)、可溶性尿激酶型纤溶酶原激活物受体(suPAR)和降钙素原(PCT)单独或与临床体征和症状联合使用时预测临床恶化的性能。这项前瞻性观察性研究纳入了来自16个急诊科的符合全身炎症反应综合征(SIRS)标准且无器官功能障碍(序贯器官衰竭评估量表(SOFA)评分较基线升高<2分)的疑似感染患者。主要终点是入组后72小时内的临床恶化(SOFA评分增加≥2分、新出现或增加器官支持或死亡)。对感染状态进行诊断和分类。共纳入724例患者(54%为男性,中位年龄55[38-70]岁)。感染源为腹盆腔(21%)、皮肤和软组织(17%)、泌尿系统(16%)和肺部(15%)。176例(24%)患者病情恶化,28天死亡率为1.4%。他们的sVEGFR2水平较低(6.17[5.00-7.40]对6.52[5.40-7.84],p=0.024),循环suPAR水平较高(5.25[3.86-7.50]对4.18[3.16-5.68],p<0.001),PCT水平较高(0.32[0.08-1.80]对0.18[0.05-0.98],p=0.004)。与其他生物标志物相比(PCT,曲线下面积(AUC)=0.57[0.52-0.62];sVEGFR2,AUC=0.58[0.53-0.64]),suPAR表现更优(AUC=0.65[0.60-0.70])。临床信息、sVEGFR2和suPAR联合使用时准确性最高,AUC为0.74[0.69-0.78],阴性预测值为0.90[0.88-0.94]。sVEGFR2和suPAR在排除临床恶化方面准确性不足。可能需要多种生物标志物组合来捕捉脓毒症相关器官衰竭中涉及的异质机制途径。

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本文引用的文献

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Vascular Endothelial Growth Factor (VEGF) and Its Role in the Cardiovascular System.血管内皮生长因子(VEGF)及其在心血管系统中的作用。
Biomedicines. 2024 May 10;12(5):1055. doi: 10.3390/biomedicines12051055.
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Role of Soluble Urokinase-Type Plasminogen Activator Receptor in Cardiovascular Disease.可溶性尿激酶型纤溶酶原激活剂受体在心血管疾病中的作用
Curr Cardiol Rep. 2023 Dec;25(12):1797-1810. doi: 10.1007/s11886-023-01991-7. Epub 2023 Nov 10.
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Early plasma angiopoietin-2 is prognostic for ARDS and mortality among critically ill patients with sepsis.
早期血浆血管生成素-2 对脓毒症危重症患者急性呼吸窘迫综合征和死亡率具有预后价值。
Crit Care. 2023 Jun 13;27(1):234. doi: 10.1186/s13054-023-04525-3.
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Does machine learning combined with clinical judgment outperform clinical judgment alone in predicting in-hospital mortality in old and young suspected infection emergency department patients?在预测老年和年轻疑似感染急诊科患者的院内死亡率方面,机器学习与临床判断相结合是否比单纯的临床判断表现更优?
Eur J Emerg Med. 2023 Jun 1;30(3):205-206. doi: 10.1097/MEJ.0000000000000996. Epub 2023 Apr 24.
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Prognostic significance of the angiopoietin-2 for early prediction of septic shock in severe sepsis patients.血管生成素-2对严重脓毒症患者脓毒性休克早期预测的预后意义。
Future Sci OA. 2023 Jan 27;8(10):FSO825. doi: 10.2144/fsoa-2022-0077. eCollection 2022 Dec.
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Platelet‑related parameters as potential biomarkers for the prognosis of sepsis.血小板相关参数作为脓毒症预后的潜在生物标志物
Exp Ther Med. 2023 Feb 10;25(3):133. doi: 10.3892/etm.2023.11832. eCollection 2023 Mar.
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Soluble urokinase plasminogen activator receptor: from biomarker to active participant in atherosclerosis and cardiovascular disease.可溶性尿激酶型纤溶酶原激活物受体:从生物标志物到动脉粥样硬化和心血管疾病的积极参与者。
J Clin Invest. 2022 Dec 15;132(24):e165868. doi: 10.1172/JCI165868.
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Self-rated health and chronic inflammation are related and independently associated with hospitalization and long-term mortality in the general population.自评健康状况和慢性炎症相关,且与一般人群的住院和长期死亡率独立相关。
Sci Rep. 2022 Nov 17;12(1):19761. doi: 10.1038/s41598-022-24422-z.
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Diagnosis of sepsis with inflammatory biomarkers, cytokines, endothelial functional markers from SIRS patients.从全身炎症反应综合征患者中用炎症生物标志物、细胞因子和内皮功能标志物诊断脓毒症。
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Biomarkers for sepsis: more than just fever and leukocytosis-a narrative review.脓毒症的生物标志物:不仅仅是发热和白细胞增多——一篇叙述性综述。
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