Neutrophil side fluorescence: a new indicator for predicting the severity of patients with bronchiectasis

被引:5
作者
Li, Shiqi [1 ,2 ]
Yu, Chunxiao [3 ]
Jie, Hongyu [2 ,4 ]
Han, Xinai [2 ,4 ]
Zou, Shujing [1 ]
Tan, Quanguang [1 ]
Luo, Shugeng [5 ]
Chen, Youming [6 ]
Wang, Jinhong [1 ,2 ]
机构
[1] Southern Med Univ, Affiliated Hosp 3, Dept Respirat, Guangzhou, Peoples R China
[2] Southern Med Univ, Affiliated Hosp 3, Guangdong Prov Key Lab Bone & Joint Degenerat Dis, Guangzhou, Peoples R China
[3] Southern Med Univ, Affiliated Hosp 7, Dept Gastroenterol, Foshan, Peoples R China
[4] Southern Med Univ, Affiliated Hosp 3, Dept Rheumatol & Immunol, Guangzhou, Peoples R China
[5] Southern Med Univ, Affiliated Hosp 3, Dept Internal Med, Guangzhou, Peoples R China
[6] Southern Med Univ, Affiliated Hosp 3, Dept Clin Lab, Guangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Bronchiectasis; Neutrophil extracellular traps; Neutrophil side fluorescence; Cell population data; CELL-POPULATION DATA; EXTRACELLULAR TRAPS; INFLAMMATION; ANALYZER; ROUTINE; AIRWAY;
D O I
10.1186/s12890-022-01893-4
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background Neutrophilic inflammation in the airway is a hallmark of bronchiectasis. Neutrophil extracellular traps (NETs) have been reported to play an important role in the occurrence and development of bronchiectasis. Neutrophil side fluorescence is one of the characteristics of neutrophils that can reflect the activation of neutrophils and the formation of NETs. Objective To explore the relationship between the values of neutrophil side fluorescence (NEUT-SFL) in the peripheral blood of bronchiectasis patients, and the severity of the disease. Methods 82 patients with bronchiectasis from the Department of Respiratory and Critical Medicine, at the Third Affiliated Hospital of Southern Medical University and were scored with Bronchiectasis Severity Index (BSI) (2019-2021). The clinical data such as the value of NEUT-SFL, neutrophil count, C-reactive protein, and procalcitonin levels were collected and retrospectively analyzed. NEUT-SFL values neutrophil count from 28 healthy subjects were also used to ascertain cut-off values. Results Based on the BSI scores, patients were divided into three categories as mild (32%), moderate (29%), and severe (39%). Our results showed that the values of NEUT-SFL were higher in bronchiectasis patients compared to healthy controls. The levels of NEUT-SFL positively correlated with the high BSI scores in patients (P = 0.037, r = 0.23) and negatively correlated with the lung function in these patients (r = - 0.35, P = 0.001). The area under the ROC curve was 0.813, the best cut-off was 42.145, indicating that NEUT-SFL values > 42.145 can potentially predict the severity of bronchiectasis. Conclusions The values of NEUT-SFL in the peripheral blood can be used for predicting the severity of bronchiectasis.
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页数:9
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