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计算机断层扫描结果作为间质性肺疾病局部和全身炎症生物标志物的决定因素:一项基于回顾性登记的描述性研究。

Computed Tomography Findings as Determinants of Local and Systemic Inflammation Biomarkers in Interstitial Lung Diseases: A Retrospective Registry-Based Descriptive Study.

机构信息

Department of Pulmonology, Kepler University Hospital GmbH, Krankenhausstrasse 9, 4020, Linz, Austria.

Central Radiology Institute, Kepler University Hospital GmbH, Krankenhausstrasse 9, 4020, Linz, Austria.

出版信息

Lung. 2021 Apr;199(2):155-164. doi: 10.1007/s00408-021-00434-w. Epub 2021 Mar 26.

Abstract

PURPOSE

To evaluate the association of peripheral blood (PBL) and broncho-alveolar lavage (BAL) biomarkers with inflammatory versus fibrotic high-resolution computed tomography (HRCT) findings in interstitial lung disease (ILD) patients.

METHODS

HRCT findings of 127 consecutive ILD-board patients were semi-quantitatively evaluated: reticulation/honeycombing (RET), traction bronchiectasis (TBR) and emphysema (EMP) were classified as non-inflammatory/fibrotic; consolidations (CON), ground glass opacities (GGO), parenchymal nodules (NDL) and mosaic attenuation (MOS) as active inflammatory. Each HRCT finding was assessed in six distinct lung regions, resulting scores were graded as minimal (0-1 regions involved), medium (2-4) or extensive (5-6). Associations of routinely assessed PBL/BAL biomarkers with these HRCT scores were evaluated using Spearman correlation coefficients and graphical presentation; significance was tested by applying Kruskal-Wallis tests.

RESULTS

Blood neutrophil, lymphocyte and eosinophil fraction, neutrophil to lymphocyte ratio (NLR) and BAL lymphocyte fraction consistently showed opposite correlations with inflammatory versus non-inflammatory/fibrotic HRCT finding scores. Blood lymphocyte fraction significantly differed by graded GGO (p = 0.032) and CON (p = 0.027) extent, eosinophil fraction by TBR (p = 0.006) and NLR by CON (p = 0.009). C-reactive protein was significantly related to GGO (p = 0.023) and CON (p = 0.004), BAL lymphocyte fraction to GGO (p = 0.017) extent.

CONCLUSION

Blood lymphocyte and eosinophil fraction, NLR, CRP and BAL lymphocyte fraction may aid to differentiate inflammatory from non-inflammatory/fibrotic ILD patterns.

TRIAL REGISTRATION

This evaluation was based on data from the ILD registry of Kepler University Hospital Linz, as approved by the ethics committee of the Federal State of Upper-Austria (EK Number. I-26-17).

摘要

目的

评估外周血(PBL)和支气管肺泡灌洗液(BAL)生物标志物与间质性肺疾病(ILD)患者高分辨率计算机断层扫描(HRCT)的炎症与纤维化表现之间的相关性。

方法

对 127 例连续的ILD 委员会患者的 HRCT 表现进行半定量评估:网状影/蜂窝影(RET)、牵拉性支气管扩张(TBR)和肺气肿(EMP)被归类为非炎症/纤维化;实变(CON)、磨玻璃影(GGO)、肺实质结节(NDL)和马赛克衰减(MOS)被归类为活性炎症。每个 HRCT 表现都在六个不同的肺区进行评估,所得分数分为轻度(0-1 个区域受累)、中度(2-4 个区域受累)或重度(5-6 个区域受累)。使用 Spearman 相关系数和图形表示评估常规评估的 PBL/BAL 生物标志物与这些 HRCT 评分之间的相关性;通过应用 Kruskal-Wallis 检验来检验显著性。

结果

血液中性粒细胞、淋巴细胞和嗜酸性粒细胞分数、中性粒细胞与淋巴细胞比值(NLR)和 BAL 淋巴细胞分数与炎症与非炎症/纤维化 HRCT 发现评分呈相反的相关性。血液淋巴细胞分数显著因分级 GGO(p=0.032)和 CON(p=0.027)程度而异,嗜酸性粒细胞分数因 TBR(p=0.006)而异,NLR 因 CON(p=0.009)而异。C 反应蛋白与 GGO(p=0.023)和 CON(p=0.004)显著相关,BAL 淋巴细胞分数与 GGO(p=0.017)程度显著相关。

结论

血液淋巴细胞和嗜酸性粒细胞分数、NLR、CRP 和 BAL 淋巴细胞分数可辅助区分炎症与非炎症/纤维化的ILD 模式。

试验注册

本评价基于林茨开普勒大学医院ILD 登记处的数据,得到上奥地利联邦州伦理委员会的批准(EK 编号:I-26-17)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/531d/8053160/d51d942d1b17/408_2021_434_Fig1_HTML.jpg

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