老年人外周血PLR、NLR预测及评估帕金森病的价值

doi:10.3969/j.issn.1003-9198.2023.12.010

实用老年医学 ›› 2023, Vol. 37 ›› Issue (12): 1228-1232.doi: 10.3969/j.issn.1003-9198.2023.12.010

老年人外周血PLR、NLR预测及评估帕金森病的价值

杨静, 张加生, 杨桂英

215200 江苏省苏州市,南京医科大学附属江苏盛泽医院神经内科(杨静);
215200 江苏省苏州市,苏州高新区疾病预防控制中心卫生监测科(张加生);
067000 河北省承德市,围场满族蒙古族自治县妇幼保健院妇科(杨桂英)

收稿日期:2023-01-30 出版日期:2023-12-20 发布日期:2023-12-12
通讯作者: 张加生,Email:969819617@qq.com
基金资助:
苏州市科教兴卫项目(KJXW2019071);苏州市吴江区科教兴卫项目(WWK201911);江苏盛泽医院高层次人才基金项目(SYK202102);苏州高新区人民医院科学创新基金资助项目(SGY2020A02)

Predictive and evaluative value of peripheral blood PLR and NLR in elderly patients with Parkinson's disease

YANG Jing, ZHANG Jia-sheng, YANG Gui-ying

Department of Neurology, Jiangsu Shengze Hospital Affiliated to Nanjing Medical University,Suzhou 215200, China (YANG Jing);
Department of Hygiene Monitoring, Center for Disease Control and Prevention of Suzhou Hi-tech Zone, Suzhou 215000, China (ZHANG Jia-sheng);
Department of Gynaecology, Weichang Manchu and Mongolian Autonomous County Maternal and Child Health Hospital, Chengde 067000, China (YANG Gui-ying)

Received:2023-01-30 Online:2023-12-20 Published:2023-12-12
Contact: ZHANG Jia-sheng, Email: 969819617@qq.com

摘要/Abstract

摘要： 目的探讨老年人血小板-淋巴细胞比值(PLR)、中性粒细胞-淋巴细胞比值(NLR)预测及评估PD的价值。方法选取江苏盛泽医院2020～2022年神经内科住院的老年PD病人98例作为PD组,另选取门诊、体检的老年人98例作为对照组。收集所有入组人员的基线资料并检测血液相关指标。根据Hoehn-Yahr评估结果将PD病人分为早期组(1～2级,35例)和中晚期组(3～5级,63例)。采用Spearman相关系数描述各指标间的相关性;采用多因素Logistic回归分析PD发生及进展的危险因素;采用ROC曲线分析PLR、NLR及两者联合对PD发病的预测价值。结果 PD组与对照组的D-二聚体、淋巴细胞、中性粒细胞、PLR、NLR水平差异有统计学意义(P<0.05)。多因素Logistic回归分析显示,PLR(OR=1.012)、NLR(OR=1.695)是老年PD发生的独立影响因素。Spearman相关分析显示,老年PD病人PLR与病程、Hoehn-Yahr分级呈正相关(r=0.225,P=0.026; r=0.316,P=0.002)。ROC曲线分析显示,NLR、PLR预测老年PD发生的AUC分别为0.688、0.703,两者联合预测的AUC为0.721。PD早期与中晚期病人的病程、PLR水平差异有统计学意义(P<0.01);病程(OR=1.250)、PLR(OR=1.010)是老年早期PD发展为中晚期的独立影响因素。结论 NLR、PLR是老年PD发生的独立影响因素,两者联合可预测老年PD发生,同时,PLR也影响老年PD的严重程度。

关键词: 血小板-淋巴细胞比值, 中性粒细胞-淋巴细胞比值, 帕金森病, 严重程度

Abstract: Objective To explore the predictive and evaluative value of platelet to lymphocyte ratio (PLR) and neutrophil to lymphocyte ratio (NLR) in the elderly patients with Parkinson's disease (PD). Methods Ninety-eight elderly patients with PD hospitalized in the Department of Neurology of Jiangsu Shengze Hospital from 2020 to 2022 were enrolled as PD group. Another 98 elderly who were outpatients or received physical examinations were enrolled as control group. The baseline clinical data were collected. According to the results of Hoehn-Yahr stage, the PD patients were divided into early-stage group (grade 1-2, n=35) and mid- to late-stage group (grade 3-5, n=63). The correlations between various indicators were analyzed by Spearman correlation coefficient. The risk factors for the occurrence and progression of PD were analyzed by multivariate Logistic regression analysis. The receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of PLR, NLR, and the combination of two indicators for the onset of PD. Results There were significant differences in the levels of D-dimer, lymphocytes, neutrophils, PLR and NLR between PD group and control group (P<0.05). Multivariate Logistic regression analysis showed that PLR (OR=1.012) and NLR (OR=1.695) were the independent influencing factors for the occurrence of PD in the elderly. Spearman correlation analysis showed that PLR was positively correlated with the course of disease and Hoehn-Yahr stage in the elderly patients with PD (r=0.225, P=0.026; r=0.316, P=0.002). ROC curve analysis showed that the area under curve (AUC) of NLR and PLR predicting the occurrence of PD was 0.688 and 0.703, respectively. The AUC of the combination of the two indicators was 0.721. There were significant differences in the course of disease and PLR between the early-stage group and mid- to late-stage group (P<0.01). The course of disease (OR=1.250) and PLR (OR=1.010) were the independent influencing factors for the progression of PD. Conclusions NLR and PLR are the independent influencing factors for the occurrence of PD in the elderly. The combination of the two indicators can predict the occurrence of PD. Meanwhile, PLR also affects the severity of PD in the elderly.

Key words: platelet to lymphocyte ratio, neutrophil to lymphocyte ratio, Parkinson's disease, severity

中图分类号:

R 742.5

杨静, 张加生, 杨桂英. 老年人外周血PLR、NLR预测及评估帕金森病的价值[J]. 实用老年医学, 2023, 37(12): 1228-1232.

YANG Jing, ZHANG Jia-sheng, YANG Gui-ying. Predictive and evaluative value of peripheral blood PLR and NLR in elderly patients with Parkinson's disease[J]. Practical Geriatrics, 2023, 37(12): 1228-1232.

参考文献

[1] TYSNES O B, STORSTEIN A. Epidemiology of Parkinson's disease[J]. J Neural Transm: Vienna, 2017, 124(8):901-905.
[2] DORSEY E R, SHERER T, OKUNM S, et al. The emerging evidence of the Parkinson pandemic[J]. J Parkinsons Dis, 2018, 8(s1):S3-S8.
[3] GRILLO P, SANCESARIO G M, BOVENZI R, et al. Neutrophil-to-lymphocyte ratio and lymphocyte count reflect alterations in central neurodegeneration-associated proteins and clinical severity in Parkinson disease patients[J]. Parkinsonism Relat Disord, 2023, 112:105480.
[4] BEURA S K, PANIGRAHI A R, YADAV P, et al. Role of platelet in Parkinson's disease: insights into pathophysiology & theranostic solutions[J]. Ageing Res Rev, 2022, 80:101681.
[5] 杨静, 董海蓉, 戚志强, 等. 帕金森病患者血清尿酸水平与病程和病情严重程度的相关性研究[J]. 中华老年心脑血管病杂志, 2019, 21(12):1322-1324.
[6] QI S G, YIN P, WANG L H, et al. Prevalence of Parkinson's disease: a community-based study in China[J]. Mov Disord, 2021, 36(12):2940-2944.
[7] 王丽娟, 冯淑君, 聂坤. 中国帕金森病轻度认知障碍的诊断和治疗指南(2020版)[J]. 中国神经精神疾病杂志, 2021, 47(1):1-12.
[8] LIU T W, CHEN C M, CHANG K H, et al. Biomarker of neuroinflammation in Parkinson's disease[J]. Int J Mol Sci, 2022, 23(8):4148.
[9] JALIL E C, DIJKHUIZEN R M, MAGNUS T, et al. Neuroinflammation, stroke, blood-brain barrier dysfunction, and imaging modalities[J]. Stroke, 2022, 53(5):1473-1486.
[10] ZHU L, QING L F, SHI Z W, et al. Compared with the monocyte to high-density lipoprotein ratio (MHR) and the neutrophil to lymphocyte ratio (NLR), the neutrophil to high-density lipoprotein ratio (NHR) is more valuable for assessing the inflammatory process in Parkinson's disease[J]. Lipids Health Dis, 2021, 20:35.
[11] LEY K, HOFFMAN H M, KUBES P, et al. Neutrophils: new insights and open questions[J]. Sci Immunol, 2018, 3(30):eaat4579.
[12] 刘泳廷, 孙铭浩, 蔡春伟, 等. 外周炎症促发帕金森病的神经机制研究进展[J]. 生理学报, 2019, 71(5): 732-740.
[13] 黄银婷. NLR在帕金森病病情评估中的临床研究[D]. 汕头:汕头大学, 2022.
[14] CONTALDI E, MAGISTRELLI L, COSENTINO M, et al. Lymphocyte count and neutrophil to lymphocyte ratio are associated with mild cognitive impairment in Parkinson's disease: A Single-Center Longitudinal Study[J]. J Clin Med, 2022, 11(19):5543.
[15] BEURA S K, PANIGRAHI A R, YADAV P,et al. Role of neurons and glia cells in wound healing as a novel perspective considering platelet as a conventional player[J]. Mol Neurobiol, 2022, 59(1):137-160.
[16] STANCA I D, CRICIOTOIU O, NEAMTU S D, et al. The analysis of blood inflammation markers as prognostic factors in Parkinson's disease[J]. Healthcare: Basel, 2022, 10(12):2578.

老年人外周血PLR、NLR预测及评估帕金森病的价值

Predictive and evaluative value of peripheral blood PLR and NLR in elderly patients with Parkinson's disease

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 10

Metrics

推荐阅读 10

[1]	郝世杰, 邹建鹏, 卫晨, 刘清江. 综合呼吸训练对老年帕金森病病人运动减少型构音障碍的影响[J]. 实用老年医学, 2024, 38(8): 783-787.
[2]	郝世杰, 刘柯彤, 马婷, 邹建鹏. 呼吸肌训练改善帕金森病病人自主神经功能障碍的临床应用研究进展[J]. 实用老年医学, 2024, 38(4): 405-409.
[3]	孙奕, 荣哲, 汪丰, 徐畅, 郑慧芬. 帕金森病冻结步态的智能检测和干预研究[J]. 实用老年医学, 2024, 38(2): 123-127.
[4]	蔡增林, 李敬伟. 帕金森病伴发神经精神症状的临床和治疗进展[J]. 实用老年医学, 2024, 38(10): 983-989.
[5]	吕坤, 曹纹平, 王宇航, 赵春生, 曹胜武. 不同麻醉方式在帕金森病病人丘脑底核脑深部电刺激手术中的临床效果[J]. 实用老年医学, 2023, 37(9): 938-942.
[6]	王朝阳, 赵丽娜, 梁浩, 陈淑霞, 谷剑. 纤维蛋白原与白蛋白比值对老年疑似冠心病病人冠脉病变程度的预测价值[J]. 实用老年医学, 2023, 37(8): 806-810.
[7]	艾春雨, 周敏, 王普清, 唐洁, 王玲. 居家帕金森病病人护理依赖现状及影响因素分析[J]. 实用老年医学, 2023, 37(11): 1181-1184.
[8]	黄梅, 陈华玉, 季晶, 张莉. 老年帕金森病病人焦虑和抑郁情绪与生活质量的相关性研究[J]. 实用老年医学, 2023, 37(1): 96-99.
[9]	朱骏, 潘杨, 沈柏, 张丽. 早期帕金森病患者视幻觉发生率及相关因素的分析[J]. 实用老年医学, 2016, 30(8): 636-.
[10]	卢伟, 杨志健, 贾恩志. 甲状腺激素水平与冠状动脉病变严重程度的相关性研究[J]. 实用老年医学, 2015, 29(9): 762-.