钝性胸外伤后IL2Ra及相关生物标志物及并发症的探索性聚类分析。

IF 2.9 2区 医学 Q2 CRITICAL CARE MEDICINE
Krista L Haines, Renhua Li, Scott Grey, Ha Eun Kim, Eric Gann, Chandra Almond, Michael Rouse, MaryBeth Joshi, Seth Schobel, Suresh Agarwal, Allan Kirk, Eric Elster, Joseph S Fernandez-Moure
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引用次数: 0

摘要

背景:在美国,肋骨骨折约占所有骨折的40%。尽管普遍存在,但肋骨骨折、实体器官损伤和免疫反应之间的关系仍然知之甚少。本探索性研究调查了肋骨骨折患者肺部和肾脏并发症相关的免疫学特征,使用的数据来自外科重症监护倡议临床数据存储库。目的是将不同的细胞因子/趋化因子谱与高能肋骨骨折模式(如第一肋骨骨折)及其相关并发症联系起来,为患者预后提供潜在的预测性生物标志物。方法:从外科重症监护协会临床数据库中提取肋骨骨折患者的临床和人口统计学资料。根据是否存在并发症对患者进行分类。使用Meso Scale Discovery平台测量了46种炎症和组织修复生物标志物。主成分分析用于降低细胞因子数据的维数。统计和机器学习模型评估了生物标志物模式、肋骨骨折定位和并发症之间的关系。为第一肋骨骨折(高能量转移)、肺损伤和肺炎建立了判别性能良好的Logistic回归模型。结果:150例肋骨骨折患者中,73例发生并发症。细胞因子分析揭示了两个不同的集群:集群1,与促炎反应和组织修复相关,集群2,与抗炎反应,血管生成和免疫代谢相关。预测模型显示了很强的有效性(曲线下面积,>0.90),并确定了关键变量,如细胞因子IL2Ra,与急性肾损伤、急性肺损伤和肋骨骨折后肺部并发症显著相关,特别是第一肋骨骨折。结论:IL2Ra释放与第一肋骨骨折等高能量转移性损伤有显著相关性,提示第一肋骨骨折与免疫应答存在双向关系。此外,临床并发症之间存在等级关系,肾和肺损伤通常先于肺炎。这些发现强调了将免疫标志物整合到个性化治疗干预的临床决策支持框架中的潜在效用。证据水平:预后;第三层次。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploratory cluster analysis of IL2Ra and associated biomarkers and complications after blunt chest trauma.

Background: Rib fractures compromise approximately 40% of all fractures in the United States. Despite their prevalence, the relationship between rib fractures, solid organ injuries, and immune responses remains poorly understood. This exploratory study investigates the immunological profile associated with pulmonary and renal complications in rib fracture patients using data from our Surgical Critical Care Initiative Clinical Data Repository. The aim is to correlate distinct cytokine/chemokine profiles with high-energy rib fracture patterns, such as first rib fracture, and associated complications, potentially providing predictive biomarkers for patient outcomes.

Methods: Clinical and demographic data on patients with rib fractures were extracted from Surgical Critical Care Initiative Clinical Data Repository. Patients were categorized based on the presence or absence of complications. A comprehensive panel of 46 inflammation and tissue repair biomarkers was measured using the Meso Scale Discovery platforms. Principal component analysis was used to reduce the dimensionality of the cytokine data. Statistical and machine learning models assessed the association between biomarker patterns, rib fracture localization, and complications. Logistic regression models with high discriminative performance were developed for first rib fractures (high energy transfer), lung injury, and pneumonia.

Results: Among 150 rib fracture patients, 73 had complications. Cytokine analysis revealed two distinct clusters: Cluster 1, associated with pro-inflammatory responses and tissue repair, and Cluster 2, linked with anti-inflammatory responses, angiogenesis, and immunometabolism. Predictive models demonstrated strong validity (area under the curve, >0.90) and identified key variables such as the cytokine IL2Ra, significantly associated with acute kidney injury, acute lung injury, and pulmonary complications post-rib fractures, particularly first rib fractures.

Conclusion: IL2Ra release is significantly correlated with high-energy transfer injuries like first rib fractures, indicating a bidirectional relationship between these fractures and the immune response. Furthermore, a hierarchical relationship exists among clinical complications, with kidney and lung injuries frequently preceding pneumonia. These findings underscore the potential utility of integrating immunological markers into clinical decision-support frameworks for personalized therapeutic interventions.

Level of evidence: Prognostic and Epidemiological; Level IV.

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来源期刊
CiteScore
6.00
自引率
11.80%
发文量
637
审稿时长
2.7 months
期刊介绍: The Journal of Trauma and Acute Care Surgery® is designed to provide the scientific basis to optimize care of the severely injured and critically ill surgical patient. Thus, the Journal has a high priority for basic and translation research to fulfill this objectives. Additionally, the Journal is enthusiastic to publish randomized prospective clinical studies to establish care predicated on a mechanistic foundation. Finally, the Journal is seeking systematic reviews, guidelines and algorithms that incorporate the best evidence available.
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