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评估多发伤患者脓毒症发生的早期指标——脓毒症作为创伤结局预测(STOP)评分

ASSESSMENT OF EARLY INDICATORS FOR SEPSIS DEVELOPMENT IN MULTIPLE TRAUMA PATIENTS-THE SEPSIS AS TRAUMA OUTCOME PREDICTION (STOP) SCORE.

作者信息

Becker Nils, Bülow Jasmin Maria, Franz Niklas, Marzi Ingo, Gebhard Florian, Eguchi Akiko, Rinderknecht Helen, Relja Borna

机构信息

Department of Trauma, Hand, Plastic and Reconstructive Surgery, Translational and Experimental Trauma Research, Ulm University Medical Center, Ulm, Germany.

Department of Trauma, Hand and Reconstructive Surgery, Goethe University Frankfurt, Frankfurt, Germany.

出版信息

Shock. 2025 Aug 1;64(2):187-197. doi: 10.1097/SHK.0000000000002626. Epub 2025 May 14.

DOI:10.1097/SHK.0000000000002626
PMID:40367515
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12278749/
Abstract

Background: Infections are common complications in critical care, particularly in patients with severe multiple trauma, who are at elevated risk due to trauma-induced immunological changes. The heterogeneity of trauma patients complicates their initial assessment, yet timely recognition of patients at risk is crucial for guiding therapy and preventive measures. This study evaluated risk factors for sepsis and pneumonia in multiple trauma patients, incorporating a novel parameter: cell-derived extracellular particles (EPs) in plasma. Methods: Severely injured multiple trauma patients aged 18-80 years with an Injury Severity Score (ISS) ≥16 were included. Patient- and injury-related parameters were assessed at the injury site, admission and during clinical course. EP counts in plasma were measured at admission using intravesicular staining. Key variables from the first 24 h were analyzed to develop an early risk assessment score. Results: Among 124 patients, 16 developed pneumonia, and 29 developed sepsis. Pneumonia was associated with significantly lower Glasgow Coma Scale scores, higher intubation rates at the injury site and elevated Sequential Organ Failure Assessment scores at admission. Sepsis correlated with higher ISS, increased 24-h transfusion rates, lower leukocyte counts on day 1, and decreased levels of small EPs in plasma at admission. These variables formed the weighted Sepsis as Trauma Outcome Prediction (STOP) score. A STOP score >3 had a positive predictive value of 59.4% within 24 h upon admission to the emergency department for subsequent sepsis development. Conclusion: The risk of pneumonia in severely injured trauma patients was linked to impaired consciousness and preexisting organ-dysfunctions at admission. High-risk sepsis patients could be identified on day 1 following trauma using the STOP score, which incorporates ISS, 24-h transfusion rates, leukocyte counts at day 1, and small EP rates at admission. This novel scoring system could facilitate targeted therapeutic and preventive strategies for distinguishing high-risk populations.

摘要

背景

感染是重症监护中的常见并发症,尤其是在严重多发伤患者中,由于创伤引起的免疫变化,他们面临的风险更高。创伤患者的异质性使他们的初始评估变得复杂,但及时识别有风险的患者对于指导治疗和预防措施至关重要。本研究评估了多发伤患者发生脓毒症和肺炎的风险因素,纳入了一个新参数:血浆中细胞衍生的细胞外颗粒(EPs)。方法:纳入年龄在18 - 80岁、损伤严重程度评分(ISS)≥16的重度受伤多发伤患者。在损伤部位、入院时和临床过程中评估患者和损伤相关参数。入院时使用囊内染色法测量血浆中的EP计数。分析前24小时内关键变量以制定早期风险评估评分。结果:124例患者中,16例发生肺炎,29例发生脓毒症。肺炎与格拉斯哥昏迷量表评分显著降低、损伤部位插管率较高以及入院时序贯器官衰竭评估评分升高相关。脓毒症与较高的ISS、24小时输血率增加、第1天白细胞计数较低以及入院时血浆中小EPs水平降低相关。这些变量构成了创伤后脓毒症结局预测(STOP)加权评分。STOP评分>3在急诊科入院后24小时内对随后发生脓毒症的阳性预测值为59.4%。结论:严重受伤创伤患者发生肺炎的风险与入院时意识障碍和既往存在的器官功能障碍有关。使用包含ISS、24小时输血率、第1天白细胞计数和入院时小EP率的STOP评分,可以在创伤后第1天识别高危脓毒症患者。这种新的评分系统可以促进针对高危人群的靶向治疗和预防策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05a4/12278749/fbefc6f332f9/shock-64-187-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05a4/12278749/417e1bf91084/shock-64-187-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05a4/12278749/243c4b31e914/shock-64-187-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05a4/12278749/fbefc6f332f9/shock-64-187-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05a4/12278749/417e1bf91084/shock-64-187-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05a4/12278749/243c4b31e914/shock-64-187-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05a4/12278749/fbefc6f332f9/shock-64-187-g003.jpg

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Eur J Clin Invest. 2025 Feb;55(2):e14354. doi: 10.1111/eci.14354. Epub 2024 Nov 15.
2
High-cost users after sepsis: a population-based observational cohort study.脓毒症高花费患者:一项基于人群的观察性队列研究。
Crit Care. 2024 Oct 21;28(1):338. doi: 10.1186/s13054-024-05108-6.
3
Predictive parameters for early detection of clinically relevant abdominal trauma in multiple-injury or polytraumatised patients: a retrospective analysis.
多发伤或多处创伤患者中临床相关腹部创伤的早期检测的预测参数:回顾性分析。
Eur J Med Res. 2024 Jul 30;29(1):394. doi: 10.1186/s40001-024-01969-3.
4
Elevated extracellular particle concentration in plasma predicts in-hospital mortality after severe trauma.血浆中细胞外颗粒浓度升高可预测严重创伤后的院内死亡率。
Front Immunol. 2024 Jun 12;15:1390380. doi: 10.3389/fimmu.2024.1390380. eCollection 2024.
5
Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches.细胞外囊泡研究的最低信息要求(MISEV2023):从基础到先进方法。
J Extracell Vesicles. 2024 Feb;13(2):e12404. doi: 10.1002/jev2.12404.
6
Developing an early warning system for detecting sepsis in patients with trauma.开发一种用于检测创伤患者败血症的早期预警系统。
Int Wound J. 2024 Jan;21(1):e14652. doi: 10.1111/iwj.14652.
7
Prognostic accuracy of initial and 24-h maximum SOFA scores of septic shock patients in the emergency department.急诊科感染性休克患者初始及24小时最高序贯器官衰竭评估(SOFA)评分的预后准确性
Heliyon. 2023 Aug 28;9(9):e19480. doi: 10.1016/j.heliyon.2023.e19480. eCollection 2023 Sep.
8
The spectrum of sepsis-associated encephalopathy: a clinical perspective.脓毒症相关性脑病的范围:临床视角。
Crit Care. 2023 Oct 5;27(1):386. doi: 10.1186/s13054-023-04655-8.
9
Resuscitating the Endothelial Glycocalyx in Trauma and Hemorrhagic Shock.恢复创伤和失血性休克中的内皮糖萼
Ann Surg Open. 2023 Jun 28;4(3):e298. doi: 10.1097/AS9.0000000000000298. eCollection 2023 Sep.
10
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J Clin Med. 2023 Aug 3;12(15):5111. doi: 10.3390/jcm12155111.