Predictive Value of Novel Inflammation-Based Biomarkers for Pulmonary Hypertension in the Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Huanhuan Zuo, Xiaochen Xie, J. Peng, Lixin Wang, R. Zhu
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引用次数: 22

Abstract

Recently, there has been an increasing interest in the potential clinical use of several inflammatory indexes, namely, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic-immune-inflammation index (SII). This study aimed at assessing whether these markers could be early indicators of pulmonary hypertension (PH) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). A total of 185 patients were enrolled in our retrospective study from January 2017 to January 2019. Receiver operating characteristic curve (ROC) and area under the curve (AUC) were used to evaluate the clinical significance of these biomarkers to predict PH in patients with AECOPD. According to the diagnostic criterion for PH by Doppler echocardiography, the patients were stratified into two groups. The study group consisted of 101 patients complicated with PH, and the control group had 84 patients. The NLR, PLR, and SII values of the PH group were significantly higher than those of the AECOPD one (p < 0.05). The blood biomarker levels were positively correlated with NT-proBNP levels, while they had no significant correlation with the estimated pulmonary arterial systolic pressure (PASP) other than PLR. NLR, PLR, and SII values were all associated with PH (p < 0.05) in the univariate analysis, but not in the multivariate analysis. The AUC of NLR used for predicting PH was 0.701 and was higher than PLR and SII. Using 4.659 as the cut-off value of NLR, the sensitivity was 81.2%, and the specificity was 59.5%. In conclusion, these simple markers may be useful in the prediction of PH in patients with AECOPD.
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基于炎症的新型生物标志物对慢性阻塞性肺疾病急性加重期肺动脉高压的预测价值
最近,人们对几种炎症指标的潜在临床应用越来越感兴趣,即中性粒细胞与淋巴细胞比率(NLR)、血小板与淋巴细胞比率(PLR)和全身免疫炎症指数(SII)。本研究旨在评估这些标志物是否可以作为慢性阻塞性肺疾病急性加重期(AECOPD)患者肺动脉高压(PH)的早期指标。2017年1月至2019年1月,共有185名患者入组回顾性研究。采用受试者工作特征曲线(ROC)和曲线下面积(AUC)评价这些生物标志物预测AECOPD患者PH值的临床意义。根据多普勒超声心动图对PH的诊断标准,将患者分为两组。研究组合并PH 101例,对照组84例。PH组NLR、PLR、SII值均显著高于AECOPD组(p < 0.05)。血液生物标志物水平与NT-proBNP水平呈正相关,而与估计的肺动脉收缩压(PASP)无显著相关。NLR、PLR和SII值在单因素分析中均与PH相关(p < 0.05),但在多因素分析中无相关。NLR预测PH的AUC为0.701,高于PLR和SII。以4.659作为NLR的临界值,敏感性为81.2%,特异性为59.5%。总之,这些简单的标记物可能有助于预测AECOPD患者的PH。
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