Clinical Differences between Eosinophilic and Noneosinophilic Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Multicenter Cross-Sectional Study

被引:7
|
作者
Dai, Guangming [1 ]
Ran, Yajuan [2 ]
Wang, Jiajia [3 ]
Chen, Xingru [4 ]
Peng, Junnan [4 ]
Li, Xinglong [4 ]
Deng, Huojin [5 ]
Xiao, Min [6 ,7 ]
Zhu, Tao [4 ]
机构
[1] First Peoples Hosp Suining City, Resp Dept, Suining 629000, Sichuan, Peoples R China
[2] Chongqing Med Univ, Affiliated Hosp 2, Pharm Dept, Chongqing 400010, Peoples R China
[3] Chongqing Med Univ, Affiliated Hosp 2, Rheumatol Med, Chongqing 400010, Peoples R China
[4] Chongqing Med Univ, Affiliated Hosp 2, Resp Med, Chongqing 400010, Peoples R China
[5] Southern Med Univ, Zhujiang Hosp, Resp Med, Guangzhou 510280, Peoples R China
[6] Sichuan Univ, West China Hosp, State Key Lab Biotherapy China, Resp Med, Chengdu 610041, Peoples R China
[7] Sichuan Univ, West China Hosp, State Key Lab Biotherapy China, Div Pulm Dis, Chengdu 610041, Peoples R China
关键词
BLOOD EOSINOPHIL; SYSTEMATIC ANALYSIS; GLOBAL BURDEN; AIRWAY INFLAMMATION; COPD; IDENTIFICATION; DISABILITY; BIOMARKERS; COUNTS; ASTHMA;
D O I
10.1155/2020/1059079
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Rationale. Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is highly heterogeneous with a plethora of different etiologic factors and inflammatory presentations. COPD with higher blood eosinophil count is associated with increased readmission rates and better corticosteroid responses. However, the clinical features of eosinophilic AECOPD are not well explored. Thus, this study was aimed at exploring the clinical differences between eosinophilic and noneosinophilic AECOPD. Methods. A total of 643 AECOPD patients were enrolled in this multicenter cross-sectional study. Finally, 455 were included, 214 in the normal-eosinophil AECOPD (NEOS-AECOPD) group, 63 in the mild increased-eosinophil AECOPD (MEOS-AECOPD) group, and 138 in the severe increased-eosinophil AECOPD (SEOS-AECOPD) group. Demographic data, underlying diseases, symptoms, and laboratory findings were collected. Multiple logistic regression analysis was performed to identify the independent factors associated with blood eosinophils (EOS). Correlations between blood EOS and its associated independent factors were evaluated. Results. The significant differences in 19 factors, including underlying diseases, clinical symptoms, and laboratory parameters, were identified by univariate analysis. Subsequently, multiple logistic regression analysis revealed that lymphocyte%, neutrophil% (NS%), procalcitonin (PCT), and anion gap (AG) were independently associated with blood EOS in AECOPD. Both blood EOS counts and EOS% were significantly correlated with lymphocyte%, NS%, PCT, and AG. Conclusions. Collectively, blood EOS was independently associated with lymphocyte%, NS%, PCT, and AG in AECOPD patients. Lymphocyte% was lower, and NS%, PCT, and AG were higher in eosinophilic AECOPD. Our results indicate that viral-dominant infections are the probable major etiologies of eosinophilic AECOPD. Noneosinophilic AECOPD is more likely associated with bacterial-dominant infections. The systemic inflammation in noneosinophilic AECOPD was more severe.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Clinical Features and Outcomes of Acute Exacerbation in Chronic Obstructive Pulmonary Disease Patients with Pulmonary Heart Disease: A Multicenter Observational Study
    You, Lingyan
    Niu, Hongtao
    Huang, Ke
    Dong, Fen
    Yang, Ting
    Wang, Chen
    [J]. INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE, 2021, 16 : 2901 - 2910
  • [22] Correlation between Chronic Obstructive Pulmonary Disease and Cardiovascular Abnormality: A Cross-sectional Study
    Pothal, Sudarsan
    Dani, Paul
    Manjhi, Rekha
    Dutta, Pravati
    Behera, Bhabani Shankar
    Behera, Aurobindo
    [J]. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2018, 12 (08) : OC17 - OC21
  • [23] Diagnosis of pulmonary embolism in patients with acute exacerbations of chronic obstructive pulmonary disease: A cross-sectional study
    Maritano Furcada, Joaquin
    Castro, Horacio Matias
    De Vito, Eduardo Luis
    Grande Ratti, Maria Florencia
    Posadas-Martinez, Maria Lourdes
    Giunta, Diego Hernan
    Vazquez, Fernando Javier
    Ferreyro, Bruno Leonel
    [J]. CLINICAL RESPIRATORY JOURNAL, 2020, 14 (12): : 1176 - 1181
  • [24] Chronic obstructive pulmonary disease and cardiac comorbidities: A cross-sectional study
    Kaushal, Mohit
    Shah, Parth S.
    Shah, Arti D.
    Francis, Stani A.
    Patel, Nihar V.
    Kothari, Kavit K.
    [J]. LUNG INDIA, 2016, 33 (04) : 404 - 409
  • [25] Chronic obstructive pulmonary disease and cardiac comorbidities: A cross-sectional study
    Jethani, Varuna
    Sindhwani, Girish
    [J]. LUNG INDIA, 2016, 33 (06) : 697 - 697
  • [26] Chronic obstructive pulmonary disease: the clinical management of an acute exacerbation
    Hurst, JR
    Wedzicha, JA
    [J]. POSTGRADUATE MEDICAL JOURNAL, 2004, 80 (947) : 497 - 505
  • [27] Clinical assessment tests in evaluating patients with chronic obstructive pulmonary disease A cross-sectional study
    Chuang, Ming-Lung
    Lin, I-Feng
    Lee, Chai-Yuan
    [J]. MEDICINE, 2016, 95 (47)
  • [28] Association Between Urinary Phthalate Metabolites and Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study
    Li, Xuefang
    Li, Zhijun
    Ye, Jian
    Ye, Wu
    [J]. INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE, 2024, 19 : 1421 - 1431
  • [29] Eosinophilic biomarkers for detection of acute exacerbation of chronic obstructive pulmonary disease with or without pulmonary embolism
    Yang, Qiong-Fang
    Lu, Ting-Ting
    Shu, Cai-Min
    Feng, Lan-Fang
    Chang, Hao-Teng
    Ji, Qiao-Ying
    [J]. EXPERIMENTAL AND THERAPEUTIC MEDICINE, 2017, 14 (04) : 3198 - 3206
  • [30] Chronic obstructive pulmonary disease phenotypes in Turkey: the COPET study-a national, multicenter cross-sectional observational study
    Yazar, Esra Ertan
    Yigitbas, Burcu Arpinar
    Ozturk, Can
    Calikoglu, Mukadder
    Gulbas, Gazi
    Turan, Muzaffer Onur
    Sahin, Hulya
    Sarioglu, Nurhan
    Hoca, Nevin Taci
    Bozkus, Fulsen
    Onur, Seda Tural
    Mirici, Nihal Arzu
    Ogan, Nalan
    Demirci, Nilgun Yilmaz
    Yormaz, Burcu
    Ozturk, Ayperi
    Kosar, Filiz
    Akpinar, Evrim Eylem
    Gunluoglu, Gulsah
    Mete, Burak
    Suerdem, Mecit
    [J]. TURKISH JOURNAL OF MEDICAL SCIENCES, 2022, 52 (04) : 1130 - 1138