Identification of neutrophil phenotype categories in geriatric hip fracture patients aids in personalized medicine.

Thomas M P Nijdam, Bernard N Jukema, Emma J de Fraiture, Roy Spijkerman, Henk Jan Schuijt, Marcia Spoelder, Coen C W G Bongers, Maria T E Hopman, Leo Koenderman, Falco Hietbrink, Detlef van der Velde
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Abstract

Objectives: The number of geriatric hip fracture patients is high and expected to rise in the coming years, and many are frail and at risk for adverse outcomes. Early identification of high-risk patients is crucial to balance treatment and optimize outcome, but remains challenging. Previous research in patients with multitrauma suggested that neutrophil phenotype analysis could aid in early identification of high-risk patients. This pilot study investigated the feasibility and clinical value of neutrophil phenotype analysis in geriatric patients with a hip fracture.

Methods: A prospective study was conducted in a regional teaching hospital in the Netherlands. At the emergency department, blood samples were collected from geriatric patients with a hip fracture and analyzed using automated flow cytometry. Flow cytometry data were processed using an automated clustering algorithm. Neutrophil activation data were compared with a healthy control cohort. Neutrophil phenotype categories were assessed based on two-dimensional visual assessment of CD16/CD62L expression.

Results: Blood samples from 45 geriatric patients with a hip fracture were included. Neutrophils showed an increased activation profile and decreased responsiveness to formyl peptides when compared to healthy controls. The neutrophil phenotype of all patients was categorized. The incidence of severe adverse outcome was significantly different between the different categories (P = 0.0331). Moreover, patients with neutrophil phenotype category 0 developed no severe adverse outcomes.

Conclusions: Using point-of-care fully automated flow cytometry to analyze the neutrophil compartment in geriatric hip fracture patients is feasible and holds clinical value in determining patients at risk for adverse outcome. This study is a first step toward immuno-based precision medicine for identifying geriatric hip fracture patients that are deemed fit for surgery.

鉴定老年髋部骨折患者的中性粒细胞表型类别有助于个性化医疗。
目标:老年髋部骨折患者人数众多,预计在未来几年还会增加,其中许多人体弱多病,面临不良后果的风险。早期识别高危患者对于平衡治疗和优化预后至关重要,但仍具有挑战性。此前对多发性创伤患者的研究表明,中性粒细胞表型分析有助于早期识别高风险患者。这项试验性研究探讨了对老年髋部骨折患者进行中性粒细胞表型分析的可行性和临床价值:方法:在荷兰的一家地区教学医院开展了一项前瞻性研究。急诊科收集了髋部骨折老年患者的血液样本,并使用自动流式细胞仪进行了分析。流式细胞仪数据采用自动聚类算法进行处理。将中性粒细胞活化数据与健康对照组进行比较。中性粒细胞表型类别根据 CD16/CD62L 表达的二维视觉评估进行评估:结果:研究纳入了 45 名髋部骨折老年患者的血液样本。与健康对照组相比,中性粒细胞的活化谱增加,对甲酰肽的反应性降低。对所有患者的中性粒细胞表型进行了分类。不同类别之间严重不良后果的发生率有显著差异(P = 0.0331)。此外,中性粒细胞表型为0的患者没有出现严重不良后果:结论:使用护理点全自动流式细胞术分析老年髋部骨折患者的中性粒细胞区系是可行的,而且在确定有不良预后风险的患者方面具有临床价值。这项研究为基于免疫的精准医疗迈出了第一步,可用于识别被认为适合手术的老年髋部骨折患者。
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