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入院时血液标志物评估对慢性阻塞性肺疾病社区获得性肺炎的预测作用。

Evaluation of Blood Markers at Admission for Predicting Community Acquired Pneumonia in Chronic Obstructive Pulmonary Disease.

机构信息

Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

出版信息

COPD. 2021 Oct;18(5):557-566. doi: 10.1080/15412555.2021.1976739. Epub 2021 Sep 12.

Abstract

Acute exacerbations of Chronic Obstructive Pulmonary Disease (AECOPD) and community acquired pneumonia (CAP) are two common acute attacks in COPD patients and it is not always easy to determine whether a COPD patient at admission has parenchymal infection or bronchial infection. Comprehensive comparison between AECOPD patients and CAP patients with COPD (COPD + CAP) can help us understand them better. We retrospectively collected the medical records of AECOPD and COPD + CAP patients. Systemic inflammation, eosinophilic inflammation, damage to other organs, common chronic comorbidities, structural changes, phenotype and endotype distributions and coagulation functions between two groups were compared and correlations of these characteristics in total subjects, AECOPD patients and COPD + CAP patients were analyzed. Logistic regression analysis was performed to select helpful biomarkers for distinguishing between them. Receiver operator characteristic (ROC) curve was plotted to assess the diagnostic value of selected biomarkers and their combination. A nomogram was established for the differential diagnosis of AECOPD and COPD + CAP. A total of 206 patients were included into our analysis. In these subjects, 104 patients were classified as AECOPD group and 102 patients were considered to have COPD + CAP mainly based on their chest CT scan results. The counts of eosinophils (EOS), basophils (BAS) and lymphocytes (LYM) and percentage of total white blood cell count, hemoglobin and hematocrit were increased in AECOPD patients compared with COPD + CAP patients. The counts of neutrophils (NEU) and percentage of total white blood cell count, C-reactive protein (CRP), Erythrocyte sedimentation rate (ESR), fibrinogen, D-dimer and N-Terminal pro-brain natriuretic peptide (NT-proBNP) levels were increased in COPD + CAP patients. After logistic regression analysis, EOS < 0.5 × 10/L, ESR ≥ 8 mm/H and NT-proBNP ≥ 100 pg/mL were selected as helpful biomarkers for diagnosis of COPD + CAP instead of AECOPD. Area under the ROC curve (AUC) of the combination of selected biomarkers was 0.764(0.698-0.829). A nomogram was established and the calibration curve suggested that fitting efficiency of the nomogram was good. AECOPD and COPD + CAP are markedly different, mainly reflected in eosinophilic inflammation, systemic inflammation and coagulation function. Correlations between some common inflammatory biomarkers are also different in the two groups. A nomogram was established to offer help to clinicians for differential diagnosis of these two diseases.

摘要

慢性阻塞性肺疾病(COPD)急性加重(AECOPD)和社区获得性肺炎(CAP)是 COPD 患者两种常见的急性发作,确定入院时 COPD 患者是否存在实质感染或支气管感染并不总是那么容易。综合比较 AECOPD 患者和 COPD 合并 CAP(COPD+CAP)患者可以帮助我们更好地了解它们。我们回顾性地收集了 AECOPD 和 COPD+CAP 患者的病历。比较两组患者的全身炎症、嗜酸性粒细胞炎症、对其他器官的损害、常见慢性合并症、结构改变、表型和内型分布以及凝血功能,并分析这些特征在总人群、AECOPD 患者和 COPD+CAP 患者中的相关性。进行逻辑回归分析以选择有助于区分两者的生物标志物。绘制受试者工作特征(ROC)曲线以评估选定生物标志物及其组合的诊断价值。建立鉴别诊断 AECOPD 和 COPD+CAP 的列线图。共纳入 206 例患者进行分析。在这些患者中,104 例患者被归类为 AECOPD 组,102 例患者主要根据胸部 CT 扫描结果被认为患有 COPD+CAP。与 COPD+CAP 患者相比,AECOPD 患者的嗜酸性粒细胞(EOS)、嗜碱性粒细胞(BAS)和淋巴细胞(LYM)计数以及白细胞总数、血红蛋白和血细胞比容百分比升高。中性粒细胞(NEU)计数和白细胞总数、C 反应蛋白(CRP)、红细胞沉降率(ESR)、纤维蛋白原、D-二聚体和 N 端脑利钠肽前体(NT-proBNP)水平在 COPD+CAP 患者中升高。经过逻辑回归分析,EOS<0.5×10/L、ESR≥8mm/H 和 NT-proBNP≥100pg/mL 被选为诊断 COPD+CAP 的有用生物标志物,而不是 AECOPD。所选生物标志物的 ROC 曲线下面积(AUC)为 0.764(0.698-0.829)。建立了列线图,校准曲线表明该列线图的拟合效率良好。AECOPD 和 COPD+CAP 有明显的不同,主要表现在嗜酸性粒细胞炎症、全身炎症和凝血功能方面。两组之间一些常见炎症生物标志物的相关性也不同。建立了列线图,为临床医生对这两种疾病的鉴别诊断提供帮助。

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