疾病严重程度、吸烟状况和治疗方案对稳定期慢性阻塞性肺疾病白细胞亚群及其比率的影响

I. Hlapčić, A. V. Dugac, S. Popović-Grle, I. Markelić, Ivana Rako, D. Rogić, L. Rumora
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引用次数: 4

摘要

血细胞参与慢性阻塞性肺疾病(COPD)的全身性炎症。我们旨在评估COPD患者与健康个体之间白细胞亚群及其比例的差异,以及它们与COPD疾病严重程度、吸烟状况和治疗的相关性。材料与方法109例COPD稳定期患者和95例对照患者参与研究。采血后,在Sysmex XN-1000分析仪上测定白细胞(WBC)、中性粒细胞(NEUTRO)、单核细胞(MO)、淋巴细胞(LY)和嗜碱性粒细胞(BA),并计算比值。结果COPD患者白细胞、NEUTRO、MO、BA均高于对照组。此外,COPD患者中性粒细胞与淋巴细胞比值(NLR)、衍生性NLR (dNLR)、单核细胞与淋巴细胞比值(MLR)、嗜碱性粒细胞与淋巴细胞比值(BLR)、嗜碱性粒细胞与单核细胞比值(BMR)和单核细胞/粒细胞与淋巴细胞比值(M/GLR)均升高。吸烟对白细胞计数有影响,COPD吸烟者的BA、BLR和BMR高于戒烟者。通过NLR、dNLR和M/GLR来区分极重度COPD患者和中度COPD患者。此外,这些参数与肺功能和呼吸困难相关,NLR和dNLR也与多组分COPD指数BODCAT和DOSE相关。dNLR、NLR和M/GLR鉴别COPD患者的优势比(OR)分别为5.07、2.86、2.60 (p < 0.001)。普通COPD治疗不影响所调查的任何参数。结论白细胞亚群及其比值可用于慢性阻塞性肺疾病的评估,特别是疾病严重程度的评估和预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of disease severity, smoking status and therapy regimes on leukocyte subsets and their ratios in stable chronic obstructive pulmonary disease
Introduction Blood cells are involved in systemic inflammation in chronic obstructive pulmonary disease (COPD). We aimed to assess differences in leukocyte subsets and their ratios between COPD patients and healthy individuals as well as their association with disease severity, smoking status and therapy in COPD. Material and methods One hundred and nine patients in the stable phase of COPD and 95 controls participated in the study. After blood sampling, white blood cells (WBC), neutrophils (NEUTRO), monocytes (MO), lymphocytes (LY) and basophils (BA) were determined on a Sysmex XN-1000 analyser, and ratios were calculated afterwards. Results White blood cells, NEUTRO, MO and BA were higher in COPD patients than in controls. Also, COPD patients had increased neutrophil to lymphocyte ratio (NLR), derived NLR (dNLR), monocyte to lymphocyte ratio (MLR), basophil to lymphocyte ratio (BLR), basophil to monocyte ratio (BMR) and monocyte/granulocyte to lymphocyte ratio (M/GLR). Smoking has an impact on leukocyte counts, with BA, BLR and BMR being higher in COPD smokers vs. ex-smokers. Patients with very severe COPD were distinguished from moderate COPD by NLR, dNLR and M/GLR. In addition, those parameters were associated with lung function and dyspnoea, and NLR and dNLR also with multicomponent COPD indices BODCAT and DOSE. Great potential of dNLR, NLR and M/GLR in identifying COPD patients was observed regarding their odds ratios (OR) of 5.07, 2.86, 2.60, respectively (p < 0.001). Common COPD therapy did not affect any of the parameters investigated. Conclusions Leukocyte subsets and their ratios could be implemented in COPD assessment, especially in evaluating disease severity and prediction.
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