| 石 虹,成 思,章杨杨,石 磊.中性粒细胞/淋巴细胞比值、血小板/淋巴细胞比值
对哮喘患者的诊断价值[J].,2024,(23):4434-4438 |
| 中性粒细胞/淋巴细胞比值、血小板/淋巴细胞比值
对哮喘患者的诊断价值 |
| Diagnostic Value of Neutrophil/lymphocyte Ratioand Platelet/lymphocyte Ratio in Patients with Asthma |
| 投稿时间：2024-01-02 修订日期：2024-02-28 |
| DOI：10.13241/j.cnki.pmb.2024.23.007 |
| 中文关键词: 哮喘 中性粒细胞淋巴细胞比值 血小板淋巴细胞比值 诊断 受试者工作特征曲线 |
| 英文关键词: Asthma Neutrophil-lymphocyte ratio Platelet-lymphocyte ratio Diagnosis Receiver operating characteristic curve |
| 基金项目:上海市教委（自然科学类）项目（18TS0800）；上海中医药大学预算内项目（2021LK080） |
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| 中文摘要: |
| 摘要 目的：探索哮喘患者中性粒细胞淋巴细胞比值（neutrophil-to-lymphocyte ratio, NLR）、血小板淋巴细胞比值（platelet-to-lymphocyte ratio, PLR）的分布及其对疾病的诊断价值。方法：选取上海中医药大学附属曙光医院2020年1月至2021年1月的患者，收集87例哮喘患者作为哮喘组，收集90例体检健康人作为对照组。分析临床实验室检查指标，采用Pearson相关分析NLR、PLR与WBC、LY、EO等炎性指标的相关性。利用受试者工作特征（ROC）曲线评估 NLR、PLR单独或联合应用对哮喘的诊断效能。结果：与对照组相比, 哮喘组的NLR（P<0.001）、PLR（P<0.001）水平显著升高。Pearson相关分析发现哮喘患者中，NLR、PLR均与LY呈负相关（P<0.05）、与NE、WBC、RDW呈正相关（P<0.05）。NLR诊断哮喘的AUC为0.830（95 % CI 0.763-0.897），当最佳临界值为2.320，灵敏度为74.7 %，特异性为87.8 %；PLR诊断哮喘的AUC为0.582（95 % CI 0.495-0.669），当最佳临界值为171.615，灵敏度为34.5 %，特异性为91.1 %。在单个指标中，NLR诊断哮喘的ROC最大即诊断效能最高。NLR+ PLR+ WBC+ MPV+ NE+MO+ MCV+ RDW联合诊断哮喘的AUC高于其余指标。结论：NLR和PLR在哮喘患者外周血中的水平升高。NLR诊断哮喘的效能优于PLR、WBC、MPV、NE、MO、MCV、RDW，NLR+PLR+WBC+ MPV+ NE+MO+MCV+ RDW联合诊断哮喘的效能最高。 |
| 英文摘要: |
| ABSTRACT Objective: To explore the distribution of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in patients with asthma and their diagnostic value. Methods: Patients from Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine were selected from January 2020 to January 2021. 87 patients with asthma were collected as asthma group, and 90 healthy subjects as control group. The clinical laboratory examination indicators were analyzed, and the correlations between NLR, PLR and WBC, LY, EO and other inflammatory indicators were analyzed by Pearson correlation. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of NLR and PLR alone or in combination for asthma. Results: Compared with the control group, the levels of NLR (P<0.001) and PLR (P<0.001) in the asthma group were significantly increased. Pearson correlation analysis found that in asthmatic patients, NLR and PLR were negatively correlated with LY (P<0.05), and positively correlated with NE, WBC and RDW (P<0.05). The AUC of NLR for diagnosing asthma was 0.830 (95 % CI 0.763-0.897), when the optimal cut-off value was 2.320, the sensitivity was 74.7 %, and the specificity was 87.8 %; the AUC of PLR for diagnosing asthma was 0.582 (95 % CI 0.495-0.669), when the optimal cut-off value is 171.615, the sensitivity is 34.5 %, and the specificity is 91.1 %. Among the individual indicators, NLR had the highest ROC for the diagnosis of asthma, that is, the highest diagnostic efficiency. The AUC of NLR+ PLR+ WBC+ MPV+ NE+MO+ MCV+ RDW combined diagnosis of asthma was higher than other indicators. Conclusion: The levels of NLR and PLR in peripheral blood of patients with asthma are increased. The effectiveness of NLR in diagnosing asthma was better than that of PLR, WBC, MPV, NE, MO, MCV, and RDW, and the combined efficacy of NLR+PLR+WBC+ MPV+ NE+MO+MCV+ RDW is the highest. |
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