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中性粒细胞与淋巴细胞比值作为恶性肺磨玻璃影进展的预测因素

Neutrophil-Lymphocyte Ratio as a Predictive Factor of Growing Malignant Pulmonary Ground-glass Opacity.

作者信息

Xue Wenfei, Zhang Xiaopeng, Niu Zhancong, Xin Zhifei, Zhang Hua, Zhao Qingtao, He Jie, Hu Zhonghui, Duan Guochen

机构信息

Study Office of Thoracic Surgery, Hebei Medical University, Shijiazhuang, 050017, People's Republic of China.

Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, 050000, People's Republic of China.

出版信息

Cancer Manag Res. 2021 Jul 13;13:5651-5655. doi: 10.2147/CMAR.S319190. eCollection 2021.

Abstract

BACKGROUND

The object of the study was to elucidate the relationship between the neutrophil-lymphocyte ratio (NLR) and the growth of pulmonary ground-glass opacity (GGO) in stage IA lung adenocarcinoma.

METHODS

All patients with GGO following surgical procedures were enrolled, with the time of follow-up and the variation tendency of GGO recorded. Meanwhile, laboratory parameters, age, gender, smoking history, histology, tumor size, and stage were recorded. Logistic regression was used to evaluate the value of NLR and the cutoff value was calculated by SPSS 22.0.

RESULTS

In the whole cohort, 30 cases of growing GGO and 43 cases of stable GGO undergoing surgical procedures were diagnosed as lung adenocarcinoma. There was significant statistical difference between the two groups. Multivariable analysis showed that NLR could predict the GGOs with growth (odds ratio 5.198, 95% confidence interval (95%CI: 1.583-14.581, =0.002). Receiver operating characteristics analysis for NLR showed the optimal cutoff value of 2.38, with a sensitivity of 60.0% and specificity of 81.4%.

CONCLUSION

Our study demonstrated that the NLR appeared to have value as a promising clinical predictor of GGOs with growth. Further studies are needed to confirm this conclusion.

摘要

背景

本研究的目的是阐明中性粒细胞与淋巴细胞比值(NLR)与ⅠA期肺腺癌中肺磨玻璃影(GGO)生长之间的关系。

方法

纳入所有接受手术治疗的GGO患者,记录随访时间及GGO的变化趋势。同时,记录实验室参数、年龄、性别、吸烟史、组织学类型、肿瘤大小和分期。采用逻辑回归评估NLR的价值,并通过SPSS 22.0计算截断值。

结果

在整个队列中,30例GGO生长的患者和43例GGO稳定的患者接受手术治疗后被诊断为肺腺癌。两组之间存在显著的统计学差异。多变量分析显示,NLR可预测生长的GGO(比值比5.198,95%置信区间(95%CI):1.583 - 14.581,P = 0.002)。NLR的受试者工作特征分析显示最佳截断值为2.38,敏感性为60.0%,特异性为81.4%。

结论

我们的研究表明,NLR似乎有价值作为生长性GGO的一个有前景的临床预测指标。需要进一步研究来证实这一结论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9324/8286107/8be4c9f98329/CMAR-13-5651-g0001.jpg

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