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血液中性粒细胞计数可界定支气管扩张症患者的特定集群:对不同临床表型的一种提示

Blood Neutrophil Counts Define Specific Clusters of Bronchiectasis Patients: A Hint to Differential Clinical Phenotypes.

作者信息

Wang Xuejie, Olveira Casilda, Girón Rosa, García-Clemente Marta, Máiz Luis, Sibila Oriol, Golpe Rafael, Menéndez Rosario, Rodríguez-López Juan, Prados Concepción, Martinez-García Miguel Angel, Rodriguez Juan Luis, de la Rosa David, Qin Liyun, Duran Xavier, Garcia-Ojalvo Jordi, Barreiro Esther

机构信息

Lung Cancer and Muscle Research Group, Pulmonology Department, Hospital del Mar-IMIM, Parc de Salut Mar, 08003 Barcelona, Spain.

Department of Medicine, Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain.

出版信息

Biomedicines. 2022 Apr 30;10(5):1044. doi: 10.3390/biomedicines10051044.

Abstract

We sought to investigate differential phenotypic characteristics according to neutrophil counts, using a biostatistics approach in a large-cohort study from the Spanish Online Bronchiectasis Registry (RIBRON). The 1034 patients who met the inclusion criteria were clustered into two groups on the basis of their blood neutrophil levels. Using the Mann-Whitney U test to explore potential differences according to FACED and EFACED scores between the two groups, a neutrophil count of 4990 cells/µL yielded the most balanced cluster sizes: (1) above-threshold ( = 337) and (2) below-threshold ( = 697) groups. Patients above the threshold showed significantly worse lung function parameters and nutritional status, while systemic inflammation levels were higher than in the below-threshold patients. In the latter group, the proportions of patients with mild disease were greater, while a more severe disease was present in the above-threshold patients. According to the blood neutrophil counts using biostatistics analyses, two distinct clinical phenotypes of stable patients with non-CF bronchiectasis were defined. Patients falling into the above-threshold cluster were more severe. Severity was characterized by a significantly impaired lung function parameters and nutritional status, and greater systemic inflammation. Phenotypic profiles of bronchiectasis patients are well defined as a result of the cluster analysis of combined systemic and respiratory variables.

摘要

我们试图通过西班牙在线支气管扩张症登记处(RIBRON)的一项大型队列研究中的生物统计学方法,根据中性粒细胞计数来调查不同的表型特征。符合纳入标准的1034名患者根据其血液中性粒细胞水平被分为两组。使用曼-惠特尼U检验来探究两组之间根据FACED和EFACED评分的潜在差异,中性粒细胞计数为4990个细胞/微升时产生的聚类大小最为均衡:(1)高于阈值组(n = 337)和(2)低于阈值组(n = 697)。高于阈值的患者表现出明显更差的肺功能参数和营养状况,而全身炎症水平高于低于阈值的患者。在后一组中,轻度疾病患者的比例更大,而高于阈值的患者中存在更严重的疾病。根据生物统计学分析的血液中性粒细胞计数,定义了非囊性纤维化支气管扩张症稳定患者的两种不同临床表型。归入高于阈值聚类的患者病情更严重。严重程度的特征是肺功能参数和营养状况明显受损,以及全身炎症更严重。通过对全身和呼吸变量进行聚类分析,支气管扩张症患者的表型特征得到了很好的定义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ea/9139050/114ae9ded4e1/biomedicines-10-01044-g001.jpg

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