Article(id=1241036333934768538, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241036327177744706, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202504211, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1744473600000, receivedDateStr=2025-04-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773815719349, onlineDateStr=2026-03-18, pubDate=1757433600000, pubDateStr=2025-09-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773815719349, onlineIssueDateStr=2026-03-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773815719349, creator=13701087609, updateTime=1773815719349, updator=13701087609, issue=Issue{id=1241036327177744706, tenantId=1146029695717560320, journalId=1227665162245664772, year='2025', volume='52', issue='17', pageStart='3073', pageEnd='3264', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773815717738, creator=13701087609, updateTime=1773840080282, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241138511152206262, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241036327177744706, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241138511152206263, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241036327177744706, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=3252, endPage=3257, ext={EN=ArticleExt(id=1241036335507632578, articleId=1241036333934768538, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Correlation and dose-response between neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and type 2 diabetes mellitus in the elderly, columnId=1228016569138213037, journalTitle=Modern Preventive Medicine, columnName=Clinical Medicine and Prevention, runingTitle=null, highlight=null, articleAbstract=
Objective

To investigate the correlation and dose-response relationship of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) with type 2 diabetes mellitus (T2DM) in the elderly aged over 65 years.

Methods

The participants were from the medical examination of the elderly aged 65 years and over in Wujin district, Changzhou city in 2022. The survey contents included questionnaire survey, physical examination and laboratory examination. Logistic regression and restricted cubic spline were used to analyze the correlation and dose-response relationship of NLR and PLR with T2DM.

Results

A total of 112 073 individuals were included in this study, with an average age of 72.66±5.62 years. Among them, 53 557 (47.79%) were male, and 16 935 (15.11%) were T2DM patients. After adjusting for relevant confounding factors, compared with the Q1 group of PLR, the ORs (95% CI) for T2DM in the Q2, Q3, and Q4 groups were 0.93 (0.88-0.97), 0.83 (0.79-0.87), and 0.73 (0.70-0.77).respectively (P fortrend <0.001). Compared with the Q1 group of NLR, the ORs (95% CI) for T2DM in the Q2, Q3, and Q4 groups were 1.12 (1.06-1.18), 1.19 (1.13-1.25), and 1.35 (1.28-1.42), respectively (P fortrend <0.001). Subgroup analysis results showed that the established in this study demonstrates notable advantages, including simple operation, rapid reaction, high specificity, superior sensitivity, and low cost, and does not rely on specialized nucleic acid detection equipment, but only requires a thermostatic heating instrument to complete the detection. The method is suitable for the immediate detection of arthropod-borne viruses, offering a novel technical platform for arbovirus identification.correlation between PLR and NLR and T2DM remained statistically significant across subgroups stratified by sex, age, hypertension, BMI, and abdominal obesity (all P-values < 0.05). Hypertension status and gender had significant interactions with the association between PLR, NLR and T2DM (P forinteraction < 0.05). The results of the restricted cubic spline showed that PLR had a negative nonlinear relationship with the prevalence of T2DM (P=0.008), and NLR had a positive nonlinear relationship with the prevalence of T2DM (P<0.001). The threshold effect inflection points of PLR and NLR on T2DM were 158.0 and 2.47 respectively (log-likelihood ratio test P<0.05).

Conclusion

The risk of T2DM increased with the increase of NLR and decreased with the increase of PLR. This study also found nonlinear dose-response relationships between NLR, PLR and T2DM.

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目的

探讨65岁以上老年人中性粒细胞/淋巴细胞比值(neutrophil-lymphocyte ratio,NLR)和血小板/淋巴细胞比值(platelet-lymphocyte ratio,PLR)与2型糖尿病(type 2 diabetes mellitus,T2DM)的相关性和剂量-反应关系。

方法

研究对象来自于2022年常州市武进区65岁以上老年人健康体检人群,健康体检内容包括问卷调查、体格检查和实验室检查。采用logistic回归和限制性立方样条分析NLR和PLR与T2DM的相关性和剂量-反应关系。

结果

共112 073人纳入本研究,平均年龄(72.66±5.62)岁,其中男性53 557(47.79%)人,T2DM患者16 935(15.11%)人。在调整相关混杂因素后,与PLR的Q1组相比,Q2、Q3和Q4组T2DM的OR(95% CI)分别为0.93(0.88~0.97)、0.83(0.79~0.87)和0.73(0.70~0.77)(P fortrend <0.001);与NLR的Q1组相比,Q2、Q3和Q4组T2DM的OR(95% CI)分别为1.12(1.06~1.18)、1.19(1.13~1.25)和1.35(1.28~1.42)(P fortrend <0.001)。亚组分析结果显示,PLR和NLR与T2DM的相关性在不同性别、年龄组、高血压、BMI和腹型肥胖亚组内均显著(P值均< 0.05),高血压状态和性别对PLR和NLR与T2DM的关联性存在显著的交互作用(P forinteraction < 0.05)。限制性立方样条图结果显示,PLR与T2DM的患病呈现负向非线性关系(P=0.008),NLR与T2DM的患病呈现正向非线性关系(P<0.001)。PLR和NLR与T2DM之间的阈值效应拐点分别为158.0和2.47(对数似然比检验P<0.05)。

结论

随着NLR增加T2DM患病风险逐渐上升,随着PLR增加T2DM患病风险逐渐下降,而且NLR和PLR与T2DM患病之间存在非线性的剂量-反应关系。

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潘英姿,E-mail:
陶源,E-mail:
, copyrightStatement=本刊刊出的所有文章不代表中华预防医学会和本刊编委会的观点,除非特别声明。, copyrightOwner=中华预防医学会和四川大学华西公共卫生学院, extLink=null, articleAbsUrl=null, sourceXml=pEpRW5Cno+9gg2M2itkWhA==, magXml=U4rATbpAPBJRN0t5G/xODw==, pdfUrl=null, pdf=ENTmdxwCf7V5/m2XRZYE2Q==, pdfFileSize=903235, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=fLXu1AuCw9ooqNlKjpoSCg==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=t4Ek/iwRMh1MlrVRMm7yAA==, mapNumber=null, authorCompany=null, fund=null, authors=

潘英姿与陶源为共同通信作者

许敏锐(1987—),男,硕士,副主任医师,研究方向:慢性病预防与控制

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2.常州市武进区疾病预防控制中心,江苏 常州 213100
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The association between Neutrophil-to-Lymphocyte ratio and glycemic control in type 2 diabetes mellitus: a systematic review and Meta-Analysis[J].Journal of Diabetes Research, 2023, 2023: 3117396., articleTitle=The association between Neutrophil-to-Lymphocyte ratio and glycemic control in type 2 diabetes mellitus: a systematic review and Meta-Analysis, refAbstract=null), Reference(id=1241139391360463567, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, doi=null, pmid=null, pmcid=null, year=2024, volume=24, issue=1, pageStart=107, pageEnd=null, url=null, language=null, rfNumber=[16], rfOrder=18, authorNames=Chen HL, Wu C, Cao L, journalName=BMC Endocrine Disorders, refType=null, unstructuredReference=Chen HL, Wu C, Cao L, et al. The association between the neutrophil-to-lymphocyte ratio and type 2 diabetes mellitus: a cross-sectional study[J]. 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注:图A为PLR;图B为NLR。

, figureFileSmall=o4gWLAMSEA+DCtbrP23vzg==, figureFileBig=RmJaQhFTRxeLmunZoKI7NQ==, tableContent=null), ArticleFig(id=1241139387304571542, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, language=EN, label=Table 1, caption=

Basic characteristics of the study subjects [(),n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量全人群(n=112 073)非T2DM(n=95 138)T2DM(n=16 935)t/χ2P
年龄(岁)72.7±5.672.6±5.772.9±5.4-7.35<0.001
BMI(kg/m2)24.0±3.623.9±3.624.7±3.5-29.47<0.001
腰围(cm)84.4±9.583.9±9.586.8±9.1-37.18<0.001
收缩压(mm Hg)140.9±19.3140.4±19.2143.3±19.4-17.73<0.001
舒张压(mm Hg)80.7±10.580.9±10.579.7±10.413.20<0.001
ALT(U/L)21.0±16.220.6±15.922.9±17.7-15.48<0.001
AST(U/L)23.8±13.623.9±12.623.1±18.35.39<0.001
肌酐(μmol/L)70.8±26.170.7±24.471.2±34.2-1.560.119
尿酸(μmol/L)336.6±90.5338.1±89.9327.8±93.113.41<0.001
总胆固醇(mmol/L)5.0±1.05.0±1.04.8±1.121.31<0.001
甘油三酯mmol/L)1.8±1.31.8±1.22.1±1.6-25.23<0.001
LDL-C(mmol/L)2.9±0.92.9±0.92.8±0.920.80<0.001
HDL-C(mmol/L)1.3±0.31.4±0.31.2±0.339.18<0.001
空腹血糖(mmol/L)6.3±1.75.9±1.18.4±2.5-124.78<0.001
Hcy(mmol/L)14.4±8.614.5±8.813.7±6.913.24<0.001
血小板(×109/L)205.2±57.1205.0±56.9206.0±57.7-2.050.040
NEUT(×109/L)3.6±1.23.5±1.24.0±1.3-38.36<0.001
淋巴细胞(×109/L)2.0±0.82.0±0.82.1±0.8-18.31<0.001
PLR111.4±41.6112.3±42.0106.0±39.019.09<0.001
NLR2.0±0.92.0±0.92.1±0.9-13.21<0.001
性别263.30<0.001
53 557 (47.8)46 436 (48.8)7 121 (42.0)
58 516 (52.2)48 702 (51.2)9 814 (58.0)
高血压5 088.51<0.001
51 496 (45.9)47 977 (50.4)3 519 (20.8)
60 577 (54.1)47 161 (49.6)13 416 (79.2)
吸烟状况212.79<0.001
从不92 096 (82.2)77 516 (81.5)14 580 (86.1)
戒烟451 (0.4)382 (0.4)69 (0.4)
现在吸烟19 500 (17.4)17 216 (18.1)2 284 (13.5)
饮酒状况219.63<0.001
从不92 830 (82.8)78 140 (82.1)14 690 (86.7)
偶尔3 020 (2.7)2 627 (2.8)393 (2.3)
经常16 212 (14.5)14 361 (15.1)1 851 (10.9)
体育锻炼288.88<0.001
从不69 972 (62.4)60 383 (63.5)9 589 (56.6)
偶尔7 664 (6.8)6 361 (6.7)1 303 (7.7)
经常34 423 (30.7)28 382 (29.8)6 041 (35.7)
受教育程度54.50<0.001
文盲1 829 (1.6)1 555 (1.6)274 (1.6)
小学45 610 (40.7)38 347 (40.3)7 263 (42.9)
初中49 166 (43.9)41 988 (44.1)7 178 (42.4)
高中7 615 (6.8)6 513 (6.8)1 102 (6.5)
大学1 384 (1.2)1 142 (1.2)242 (1.4)
不详6 469 (5.8)5 593 (5.9)876 (5.2)
婚姻状况5.260.022
在婚100 852 (90.0)85 530 (89.9)15 322 (90.5)
未婚/离异/丧偶11 221 (10.0)9 608 (10.1)1 613 (9.5)
医保27.85<0.001
城镇居民医保81 662 (78.1)69 436 (78.4)12 226 (76.6)
城镇职工医保22 833 (21.9)19 090 (21.6)3 743 (23.4)
), ArticleFig(id=1241139387493315228, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, language=CN, label=表1, caption=

研究对象基本特征[(),n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量全人群(n=112 073)非T2DM(n=95 138)T2DM(n=16 935)t/χ2P
年龄(岁)72.7±5.672.6±5.772.9±5.4-7.35<0.001
BMI(kg/m2)24.0±3.623.9±3.624.7±3.5-29.47<0.001
腰围(cm)84.4±9.583.9±9.586.8±9.1-37.18<0.001
收缩压(mm Hg)140.9±19.3140.4±19.2143.3±19.4-17.73<0.001
舒张压(mm Hg)80.7±10.580.9±10.579.7±10.413.20<0.001
ALT(U/L)21.0±16.220.6±15.922.9±17.7-15.48<0.001
AST(U/L)23.8±13.623.9±12.623.1±18.35.39<0.001
肌酐(μmol/L)70.8±26.170.7±24.471.2±34.2-1.560.119
尿酸(μmol/L)336.6±90.5338.1±89.9327.8±93.113.41<0.001
总胆固醇(mmol/L)5.0±1.05.0±1.04.8±1.121.31<0.001
甘油三酯mmol/L)1.8±1.31.8±1.22.1±1.6-25.23<0.001
LDL-C(mmol/L)2.9±0.92.9±0.92.8±0.920.80<0.001
HDL-C(mmol/L)1.3±0.31.4±0.31.2±0.339.18<0.001
空腹血糖(mmol/L)6.3±1.75.9±1.18.4±2.5-124.78<0.001
Hcy(mmol/L)14.4±8.614.5±8.813.7±6.913.24<0.001
血小板(×109/L)205.2±57.1205.0±56.9206.0±57.7-2.050.040
NEUT(×109/L)3.6±1.23.5±1.24.0±1.3-38.36<0.001
淋巴细胞(×109/L)2.0±0.82.0±0.82.1±0.8-18.31<0.001
PLR111.4±41.6112.3±42.0106.0±39.019.09<0.001
NLR2.0±0.92.0±0.92.1±0.9-13.21<0.001
性别263.30<0.001
53 557 (47.8)46 436 (48.8)7 121 (42.0)
58 516 (52.2)48 702 (51.2)9 814 (58.0)
高血压5 088.51<0.001
51 496 (45.9)47 977 (50.4)3 519 (20.8)
60 577 (54.1)47 161 (49.6)13 416 (79.2)
吸烟状况212.79<0.001
从不92 096 (82.2)77 516 (81.5)14 580 (86.1)
戒烟451 (0.4)382 (0.4)69 (0.4)
现在吸烟19 500 (17.4)17 216 (18.1)2 284 (13.5)
饮酒状况219.63<0.001
从不92 830 (82.8)78 140 (82.1)14 690 (86.7)
偶尔3 020 (2.7)2 627 (2.8)393 (2.3)
经常16 212 (14.5)14 361 (15.1)1 851 (10.9)
体育锻炼288.88<0.001
从不69 972 (62.4)60 383 (63.5)9 589 (56.6)
偶尔7 664 (6.8)6 361 (6.7)1 303 (7.7)
经常34 423 (30.7)28 382 (29.8)6 041 (35.7)
受教育程度54.50<0.001
文盲1 829 (1.6)1 555 (1.6)274 (1.6)
小学45 610 (40.7)38 347 (40.3)7 263 (42.9)
初中49 166 (43.9)41 988 (44.1)7 178 (42.4)
高中7 615 (6.8)6 513 (6.8)1 102 (6.5)
大学1 384 (1.2)1 142 (1.2)242 (1.4)
不详6 469 (5.8)5 593 (5.9)876 (5.2)
婚姻状况5.260.022
在婚100 852 (90.0)85 530 (89.9)15 322 (90.5)
未婚/离异/丧偶11 221 (10.0)9 608 (10.1)1 613 (9.5)
医保27.85<0.001
城镇居民医保81 662 (78.1)69 436 (78.4)12 226 (76.6)
城镇职工医保22 833 (21.9)19 090 (21.6)3 743 (23.4)
), ArticleFig(id=1241139387589784224, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, language=EN, label=Table 2, caption=

Multivariate Logistic regression analysis of the correlation between PLR, NLR and the prevalence of T2DM

, figureFileSmall=null, figureFileBig=null, tableContent=
指标n模型1模型2模型3
OR值(95%CI)POR值(95%CI)POR值(95%CI)P
PLR112 0731.00(1.00~1.00)<0.0011.00(1.00~1.00)<0.0011.00(1.00~1.00)<0.001
PLR (Per 1 SD)112 0730.85(0.84~0.87)<0.0010.88(0.86~0.89)<0.0010.88(0.87~0.90)<0.001
PLR 四分位数分组
Q1 (<82.9)28 0151.00 (参照组)1.00 (参照组)1.00 (参照组)
Q2 (82.9~104.9)28 0040.92(0.88~0.97)<0.0010.93(0.89~0.97)0.0020.93(0.88~0.97)0.002
Q3 (105.0~131.9)28 0310.80(0.76~0.83)<0.0010.83(0.79~0.87)<0.0010.83(0.79~0.87)<0.001
Q4 (≥132)28 0230.67(0.64~0.70)<0.0010.72(0.69~0.76)<0.0010.73(0.70~0.77)<0.001
P for trend<0.001<0.001<0.001
NLR112 0731.13(1.11~1.14)<0.0011.14(1.12~1.16)<0.0011.11(1.08~1.13)<0.001
NLR (Per 1 SD)112 0731.11(1.09~1.13)<0.0011.12(1.10~1.14)<0.0011.09(1.07~1.11)<0.001
NLR四分位数分组
Q1 (<1.39)28 0161.00 (参照组)1.00 (参照组)1.00 (参照组)
Q2 (1.39~1.78)27 9911.17(1.12~1.23)<0.0011.16(1.10~1.22)<0.0011.12(1.06~1.18)<0.001
Q3 (1.79~2.32)28 0281.27(1.21~1.33)<0.0011.26(1.20~1.32)<0.0011.19(1.13~1.25)<0.001
Q4 (≥2.33)28 0381.43(1.37~1.50)<0.0011.45(1.38~1.53)<0.0011.35(1.28~1.42)<0.001
P for trend<0.001<0.001<0.001
), ArticleFig(id=1241139387690447521, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, language=CN, label=表2, caption=

PLR和NLR与T2DM患病相关性多因素logistic回归分析

, figureFileSmall=null, figureFileBig=null, tableContent=
指标n模型1模型2模型3
OR值(95%CI)POR值(95%CI)POR值(95%CI)P
PLR112 0731.00(1.00~1.00)<0.0011.00(1.00~1.00)<0.0011.00(1.00~1.00)<0.001
PLR (Per 1 SD)112 0730.85(0.84~0.87)<0.0010.88(0.86~0.89)<0.0010.88(0.87~0.90)<0.001
PLR 四分位数分组
Q1 (<82.9)28 0151.00 (参照组)1.00 (参照组)1.00 (参照组)
Q2 (82.9~104.9)28 0040.92(0.88~0.97)<0.0010.93(0.89~0.97)0.0020.93(0.88~0.97)0.002
Q3 (105.0~131.9)28 0310.80(0.76~0.83)<0.0010.83(0.79~0.87)<0.0010.83(0.79~0.87)<0.001
Q4 (≥132)28 0230.67(0.64~0.70)<0.0010.72(0.69~0.76)<0.0010.73(0.70~0.77)<0.001
P for trend<0.001<0.001<0.001
NLR112 0731.13(1.11~1.14)<0.0011.14(1.12~1.16)<0.0011.11(1.08~1.13)<0.001
NLR (Per 1 SD)112 0731.11(1.09~1.13)<0.0011.12(1.10~1.14)<0.0011.09(1.07~1.11)<0.001
NLR四分位数分组
Q1 (<1.39)28 0161.00 (参照组)1.00 (参照组)1.00 (参照组)
Q2 (1.39~1.78)27 9911.17(1.12~1.23)<0.0011.16(1.10~1.22)<0.0011.12(1.06~1.18)<0.001
Q3 (1.79~2.32)28 0281.27(1.21~1.33)<0.0011.26(1.20~1.32)<0.0011.19(1.13~1.25)<0.001
Q4 (≥2.33)28 0381.43(1.37~1.50)<0.0011.45(1.38~1.53)<0.0011.35(1.28~1.42)<0.001
P for trend<0.001<0.001<0.001
), ArticleFig(id=1241139387770139303, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, language=EN, label=Table 3, caption=

Threshold effect analysis of the correlation between PLR, NLR and T2DM

, figureFileSmall=null, figureFileBig=null, tableContent=
指标OR值(95%CI)*P
PLR (Per 1 SD)0.88 (0.86~0.89)<0.001
PLR 分段回归
PLR < 158(Per 1 SD)0.85 (0.83~0.88)<0.001
PLR ≥ 158(Per 1 SD)0.95 (0.89~1.01)0.121
Log likelihood ratio0.012
NLR (Per 1 SD)1.12 (1.10~1.14)<0.001
NLR 分段回归
NLR < 2.47 (Per 1 SD)1.26 (1.21~1.32)<0.001
NLR ≥2.47 (Per 1 SD)1.01 (0.98~1.05)0.587
Log likelihood ratio<0.001
), ArticleFig(id=1241139387854025384, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, language=CN, label=表3, caption=

PLR和NLR与T2DM相关性的阈值效应分析

, figureFileSmall=null, figureFileBig=null, tableContent=
指标OR值(95%CI)*P
PLR (Per 1 SD)0.88 (0.86~0.89)<0.001
PLR 分段回归
PLR < 158(Per 1 SD)0.85 (0.83~0.88)<0.001
PLR ≥ 158(Per 1 SD)0.95 (0.89~1.01)0.121
Log likelihood ratio0.012
NLR (Per 1 SD)1.12 (1.10~1.14)<0.001
NLR 分段回归
NLR < 2.47 (Per 1 SD)1.26 (1.21~1.32)<0.001
NLR ≥2.47 (Per 1 SD)1.01 (0.98~1.05)0.587
Log likelihood ratio<0.001
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老年人中性粒细胞/淋巴细胞比值和血小板/淋巴细胞比值与2型糖尿病的相关性和剂量-反应关系研究
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许敏锐 1, 2, 3 , 史宏 2 , 刘建荣 4 , 强德仁 2 , 孔晓玲 2 , 周绪凤 2 , 石素逸 2 , 宗菁 2 , 杨佳成 2 , 闫于飘 2 , 张锡炳 2 , 潘英姿 2 , 陶源 5
现代预防医学 | 临床与预防 2025,52(17): 3252-3257
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现代预防医学 | 临床与预防 2025, 52(17): 3252-3257
老年人中性粒细胞/淋巴细胞比值和血小板/淋巴细胞比值与2型糖尿病的相关性和剂量-反应关系研究
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许敏锐1, 2, 3, 史宏2, 刘建荣4, 强德仁2, 孔晓玲2, 周绪凤2, 石素逸2, 宗菁2, 杨佳成2, 闫于飘2, 张锡炳2, 潘英姿2 , 陶源5
作者信息
  • 1.常州市武进国家高新区人民医院,江苏 常州 213100
  • 2.常州市武进区疾病预防控制中心,江苏 常州 213100
  • 3.徐州医科大学公共卫生学院,江苏 徐州 221004
  • 4.常州经开区公共卫生管理服务中心,江苏 常州 213000
  • 5.常州市第一人民医院质量管理处,江苏 常州 213000
  • 许敏锐(1987—),男,硕士,副主任医师,研究方向:慢性病预防与控制

通讯作者:

潘英姿,E-mail:
陶源,E-mail:
Correlation and dose-response between neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and type 2 diabetes mellitus in the elderly
Min-rui XU1, 2, 3, Hong SHI2, Jian-rong LIU4, De-ren QIANG2, Xiao-ling KONG2, Xu-feng ZHOU2, Su-yi SHI2, Jin ZONG2, Jia-cheng YANG2, Yu-piao YAN2, Xi-bing ZHANG2, Ying-zi PAN2 , Yuan TAO5
Affiliations
  • People’s Hospital of Changzhou Wujin National Hi-tech Zone, Changzhou, Jiangsu 213100, China
出版时间: 2025-09-10 doi: 10.20043/j.cnki.MPM.202504211
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目的

探讨65岁以上老年人中性粒细胞/淋巴细胞比值(neutrophil-lymphocyte ratio,NLR)和血小板/淋巴细胞比值(platelet-lymphocyte ratio,PLR)与2型糖尿病(type 2 diabetes mellitus,T2DM)的相关性和剂量-反应关系。

方法

研究对象来自于2022年常州市武进区65岁以上老年人健康体检人群,健康体检内容包括问卷调查、体格检查和实验室检查。采用logistic回归和限制性立方样条分析NLR和PLR与T2DM的相关性和剂量-反应关系。

结果

共112 073人纳入本研究,平均年龄(72.66±5.62)岁,其中男性53 557(47.79%)人,T2DM患者16 935(15.11%)人。在调整相关混杂因素后,与PLR的Q1组相比,Q2、Q3和Q4组T2DM的OR(95% CI)分别为0.93(0.88~0.97)、0.83(0.79~0.87)和0.73(0.70~0.77)(P fortrend <0.001);与NLR的Q1组相比,Q2、Q3和Q4组T2DM的OR(95% CI)分别为1.12(1.06~1.18)、1.19(1.13~1.25)和1.35(1.28~1.42)(P fortrend <0.001)。亚组分析结果显示,PLR和NLR与T2DM的相关性在不同性别、年龄组、高血压、BMI和腹型肥胖亚组内均显著(P值均< 0.05),高血压状态和性别对PLR和NLR与T2DM的关联性存在显著的交互作用(P forinteraction < 0.05)。限制性立方样条图结果显示,PLR与T2DM的患病呈现负向非线性关系(P=0.008),NLR与T2DM的患病呈现正向非线性关系(P<0.001)。PLR和NLR与T2DM之间的阈值效应拐点分别为158.0和2.47(对数似然比检验P<0.05)。

结论

随着NLR增加T2DM患病风险逐渐上升,随着PLR增加T2DM患病风险逐渐下降,而且NLR和PLR与T2DM患病之间存在非线性的剂量-反应关系。

老年人  /  2型糖尿病  /  中性粒细胞/淋巴细胞比值  /  血小板/淋巴细胞比值
Objective

To investigate the correlation and dose-response relationship of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) with type 2 diabetes mellitus (T2DM) in the elderly aged over 65 years.

Methods

The participants were from the medical examination of the elderly aged 65 years and over in Wujin district, Changzhou city in 2022. The survey contents included questionnaire survey, physical examination and laboratory examination. Logistic regression and restricted cubic spline were used to analyze the correlation and dose-response relationship of NLR and PLR with T2DM.

Results

A total of 112 073 individuals were included in this study, with an average age of 72.66±5.62 years. Among them, 53 557 (47.79%) were male, and 16 935 (15.11%) were T2DM patients. After adjusting for relevant confounding factors, compared with the Q1 group of PLR, the ORs (95% CI) for T2DM in the Q2, Q3, and Q4 groups were 0.93 (0.88-0.97), 0.83 (0.79-0.87), and 0.73 (0.70-0.77).respectively (P fortrend <0.001). Compared with the Q1 group of NLR, the ORs (95% CI) for T2DM in the Q2, Q3, and Q4 groups were 1.12 (1.06-1.18), 1.19 (1.13-1.25), and 1.35 (1.28-1.42), respectively (P fortrend <0.001). Subgroup analysis results showed that the established in this study demonstrates notable advantages, including simple operation, rapid reaction, high specificity, superior sensitivity, and low cost, and does not rely on specialized nucleic acid detection equipment, but only requires a thermostatic heating instrument to complete the detection. The method is suitable for the immediate detection of arthropod-borne viruses, offering a novel technical platform for arbovirus identification.correlation between PLR and NLR and T2DM remained statistically significant across subgroups stratified by sex, age, hypertension, BMI, and abdominal obesity (all P-values < 0.05). Hypertension status and gender had significant interactions with the association between PLR, NLR and T2DM (P forinteraction < 0.05). The results of the restricted cubic spline showed that PLR had a negative nonlinear relationship with the prevalence of T2DM (P=0.008), and NLR had a positive nonlinear relationship with the prevalence of T2DM (P<0.001). The threshold effect inflection points of PLR and NLR on T2DM were 158.0 and 2.47 respectively (log-likelihood ratio test P<0.05).

Conclusion

The risk of T2DM increased with the increase of NLR and decreased with the increase of PLR. This study also found nonlinear dose-response relationships between NLR, PLR and T2DM.

Elderly population  /  Type 2 diabetes mellitus  /  Neutrophil-lymphocyte ratio  /  Platelet-lymphocyte ratio
许敏锐, 史宏, 刘建荣, 强德仁, 孔晓玲, 周绪凤, 石素逸, 宗菁, 杨佳成, 闫于飘, 张锡炳, 潘英姿, 陶源. 老年人中性粒细胞/淋巴细胞比值和血小板/淋巴细胞比值与2型糖尿病的相关性和剂量-反应关系研究. 现代预防医学, 2025 , 52 (17) : 3252 -3257 . DOI: 10.20043/j.cnki.MPM.202504211
Min-rui XU, Hong SHI, Jian-rong LIU, De-ren QIANG, Xiao-ling KONG, Xu-feng ZHOU, Su-yi SHI, Jin ZONG, Jia-cheng YANG, Yu-piao YAN, Xi-bing ZHANG, Ying-zi PAN, Yuan TAO. Correlation and dose-response between neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and type 2 diabetes mellitus in the elderly[J]. Modern Preventive Medicine, 2025 , 52 (17) : 3252 -3257 . DOI: 10.20043/j.cnki.MPM.202504211
2型糖尿病(type 2 diabetes mellitus, T2DM)是严重威胁人类健康的一种代谢性疾病,随着人口老龄化和生活方式改变,我国T2DM患病率从2005年的7.53%增加到2023年的13.7%[1],65岁及以上人群T2DM患病率更是高达18.8%[2]。T2DM的是由复杂的遗传-环境相互作用以及肥胖和久坐生活方式等其他风险因素引起的[3],然而只有T2DM的部分原因可以被解释。
慢性炎症在T2DM的进展中扮演重要角色[4]。中性粒细胞与淋巴细胞比值(neutrophil-lymphocyte ratio,NLR)和血小板与淋巴细胞比值(platelet-lymphocyte ratio,PLR)作为反映慢性炎症程度及炎细胞种类的新间接标志物,最近被报道在预测T2DM及其并发症方面发挥重要作用[5-6]。相较于一些传统的炎症标志物,如C反应蛋白、白细胞介素-6等,NLR和PLR能够更综合地反映机体的炎症和免疫状态,而且通过常规的血细胞计数即可获得,无需额外生化检测或特殊试剂,检测方法简单、快速、经济,在评估T2DM患者的炎症状态、预测疾病进展和并发症方面具有重要的临床意义。然而,在老年人群中NLR和PLR与T2DM的相关性研究较少。因此本研究以65岁以上老年人为研究对象,估计PLR、NLR与T2DM患病之间相关性,以期为老年T2DM的防控提供科学依据。
研究对象来自常州市武进区2022年≥65岁老年人健康体检人群,全区共114 391人参加了体检,纳入标准:(1)同意参加本次调查;(2)基本资料完整。排除严重肾功能不全、恶性肿瘤、关键变量缺失者2 318人,共112 073人纳入本研究。本研究已通过常州市武进区疾病预防控制中心伦理委员会批准[武疾控伦审第(2022-3)号],所有研究对象在体检前均签署知情同意书。
按照《国家基本公共卫生服务规范(第三版)》老年人健康管理服务要求,由经培训合格的工作人员面对面调查采集信息,内容包括人口学资料、吸烟、饮酒、体育锻炼、疾病史和用药情况等[7]
由经过培训的测量员采用标准化方法测量身高、体重、腰围(waist circumference)、收缩压(systolic blood pressure)和舒张压(diastolic blood pressure),计算身体质量指数(body mass index,BMI)[8]
采集对象空腹静脉血,由各社区卫生服务中心(乡镇卫生院)进行血常规和生化检测,包括:空腹血糖(fasting plasma glucose)、甘油三酯(triglyceride)、总胆固醇(total cholesterol)、高密度脂蛋白胆固醇(high density lipoprotein cholesterol,HDL-C)、低密度脂蛋白胆固醇(low density lipoprotein cholesterol,LDL-C)、肌酐(creatinine)、尿酸(uric acid)、谷丙转氨酶(alanine aminotransferase,ALT)、谷草转氨酶(aspartate aminotransferase,AST)、同型半胱氨酸(homocysteine,Hcy)、中性粒细胞(neutrophil,NEUT)、淋巴细胞(lymphocyte)和血小板(platelet)等[8]
中心性肥胖:腰围男性≥90 cm,女性≥85 cm;T2DM:空腹血糖≥7.0 mmol/L和(或)已诊断为T2DM和(或)接受降糖治疗者;高血压:收缩压/舒张压≥140/90 mm Hg和/或已确认为高血压和(或)接受降压治疗者;PLR=血小板计数/淋巴细胞计数,NLR=中性粒细胞计数/淋巴细胞计数,根据四分位数间距将PLR和NLR分成四组,分别为Q1、Q2、Q3、Q4组。
问卷调查数据由医务人员录入到卫生信息化平台,实验室检查项目由医院HIS系统直接传输到信息平台,并由工程师从信息系统后台导出相关数据。采用R 4.2.2软件(http://www.r-project.org/)进行统计学分析。符合正态分布的连续性变量采用[MP25P75)]进行描述,组间比较采用t检验;非正态分布的连续性变量采用[MP25P75)]进行描述,经对数转换后采用t检验;并采用Bonferroni方法对多重比较假设检验进行了校正,并将校正后显著性阈值设定为P<0.002 5;分类变量采用n(%)描述,组间比较采用χ2检验;采用多因素logistic回归分析分析PLR和NLR与T2DM的相关性。采用限制性立方样条图,根据百分位数分布选取4个节点(P5P35P65P95),以中位数为参照点,分析PLR和NLR与T2DM的剂量-反应关系及非线性检验[8]。使用R软件的segmented包进行分段logistic回归模型,识别潜在的转折点,使用对数似然比检验(log-likelihood ratio test,LRT)将标准的logistic回归模型与分段logistic回归模型进行了比较,检验水准α=0.05。
共计112 073名老年人纳入研究,平均年龄(72.7±5.6)岁,其中男性53 557(47.79%)人,T2DM患者16 935 (15.11%)人。表1显示,T2DM组具有较高的年龄、BMI、腰围、收缩压、ALT、甘油三酯、空腹血糖、NEUT计数、淋巴细胞计数和NLR,较低的舒张压、AST、尿酸、总胆固醇、LDL-C、Hcy和PLR,差异有统计学意义(P均<0.002 5,Bonferroni校正);T2DM组和非T2DM组在性别、吸烟状况、饮酒状况、体育锻炼、受教育程度、婚姻状况、医保和高血压等差异有统计学意义。
在模型1、2、3中,与PLR的Q1组相比,Q2、Q3和Q4组T2DM的OR值(95%CI)逐渐降低(P fortrend <0.001),模型3中的OR(95%CI)分别为0.93(0.88~0.97)、0.83(0.79~0.87)和0.73(0.70~0.77);与NLR的Q1组相比,Q2、Q3和Q4组T2DM的OR值(95%CI)逐渐增加(P fortrend <0.001),模型3中的OR值(95%CI)分别为1.12(1.06~1.18)、1.19(1.13~1.25)和1.35(1.28~1.42)。见表2
亚组分析结果显示,各亚组内的PLR与T2DM的关联性均显著(P值均< 0.05),OR值范围在0.82~0.93;性别和高血压状态对PLR与T2DM的关联性存在显著的交互作用(P forinteraction < 0.05),具体而言,男性的OR值为0.92(95%CI:0.89~0.94,P<0.001),女性的OR值为0.86(95%CI:0.84~0.89,P<0.001);无高血压患者的OR值为0.82(95%CI:0.79~0.85,P<0.001),而高血压患者的OR值为0.89(95%CI:0.87~0.91,P<0.001);年龄组、BMI分组和腹型肥胖对PLR与T2DM的关联性无显著交互作用(P forinteraction >0.05),见图1。各亚组内的NLR与T2DM的关联性除无高血压患者外均显著(P值均< 0.05),OR值范围在1.04~1.14;高血压状态对NLR与T2DM的关联性存在显著的交互作用(P forinteraction <0.05),无高血压患者的OR值为1.03(95%CI:0.99~1.07,P=0.098),高血压患者的OR值为1.09(95%CI:1.07~1.12,P<0.001);年龄组、性别、BMI分组和腹型肥胖对NLR与T2DM的关联性无显著交互作用(P forinteraction >0.05)。见图1
限制性立方样条图结果显示,在调整了年龄、性别、教育、婚姻、吸烟、饮酒、体育锻炼、腰围、收缩压、舒张压、ALT、AST、肌酐、尿酸、总胆固醇、甘油三酯、LDL-C、HDL-C、空腹血糖和Hcy后,PLR与T2DM的患病呈现负向非线性关系(P=0.008),NLR与T2DM的患病呈现正向非线性关系(P<0.001),见图2。使用分段广义线性回归模型识别潜在的转折点,其中PLR和NLR与T2DM之间的关系拐点分别为158.0和2.47,对数似然比检验P值均<0.05。PLR低于拐点(158.0)时,每增加一个SD,T2DM患病风险降低15%(OR=0.85,95%CI:0.83~0.88,P<0.001),高于拐点时,PLR与T2DM相关性未见统计学意义(OR=0.95,95%CI:0.89~1.01,P=0.121);NLR低于拐点(2.47)时,每增加一个SD,T2DM患病风险增加12%(OR=1.12,95%CI:1.10~1.14,P<0.001),高于拐点时,NLR与T2DM相关性未见统计学意义(OR=1.01,95%CI:0.98~1.05,P= 0.587)。见表3
常州市武进区65岁及以上老年人健康体检数据研究结果表明,随着NLR增加T2DM患病风险逐渐上升,随着PLR增加T2DM患病风险逐渐下降。本研究还发现65岁以上老年人NLR和PLR与T2DM患病之间存在非线性的剂量-反应关系。
PLR作为一种稳定的炎症指标,可以反映机体的炎症状态和血小板的活化情况。PLR与T2DM之间的相关性研究结果尚不一致。一项横断面研究发现PLR降低与T2DM的风险相关[9]。病例对照研究结果显示,T2DM患者PLR水平高于正常人群[10]。也有研究表明PLR在T2DM前期和早期显著降低,但在晚期增加[11]。国内一项队列研究结果表明[6],较高的PLR可以降低T2DM的风险,剂量反应关系呈现线性负相关。本研结果也同样显示,随着PLR增加,T2DM患病的OR逐渐降低,但是与Zhang C等[6]研究不同的是,本研究中PLR与T2DM的患病呈现非线性负相关。分层分析结果显示,除了在BMI≥28 kg/m2组之外,其他亚组T2DM患病的OR值均随着PLR的增加逐渐降低。因此,PLR和T2DM之间的相关性还有待更多的研究证实。
慢性炎症反应的另一个指标NLR,研究表明其与胰岛素抵抗和胰岛β细胞功能受损具有显著相关性[12]。病例对照研究结果显示,T2DM患者的NLR水平显著高于非T2DM组[13]。天津一项队列研究[14]结果也显示,随着NLR的增加,T2DM的发病风险逐渐增加,与本研究结果一致。但是另外一项队列研究却没有发现NLR和T2DM发病风险之间的显著相关性[6]。此外,NLR除了可能是潜在的糖代谢异常的标志,还与T2DM患者的血糖控制有关,一项对13项研究的meta分析结果显示,高NLR与T2DM患者低血糖控制水平相关(OR=1.50,95%CI:1.30~1.93)[15]。本研中剂量反应关系显示NLR与T2DM的患病呈现非线性正相关,目前关于NLR与T2DM的剂量反应关系研究不多,Zhang C等[6]研究也发现NLR与T2DM呈现非线性关系,在NLR < 1.55时正相关,但是>1.55呈现负相关。NHANES数据库研究也显示NLR与T2DM之间存在非线性关系,拐点为2.27[16],与本研究拐点2.47较为接近。因此,NLR与T2DM之间的相关性也有待更多研究进一步探讨。
本研究也存在一定局限性,首先,研究对象均来自常州市武进区65岁及以上人群,研究结果的外推性有待验证;其次,此次基于横断面的调查仅提示NLR、PLR与T2DM存在一定的相关性,因果论证性有待进一步研究验证;最后,由于实验室检测并不是由同一个检验机构完成,可能会由于仪器设备和试剂的不同略有差异,但是所有医院的检验设备每年都会定期接受质检部门的校验,其检验结果的准确性相对较高。
综上所述,本研究结果提示,65岁以上老年人NLR、PLR水平与T2DM存在关联。本研究样本较大,结果相对稳定,而且NLR和PLR均是比较容易获得的炎症指标,对老年人群预防T2DM具有一定意义,然而改善患者的慢性炎症状态能否有助于控制和预防T2DM,还需继续深入研究。
  • 江苏省预防医学科研课题面上项目(Ym2023014)
  • 常州市科技计划(CJ20241043)
  • 常州市卫健委科技项目(QN202382)
  • 常州市“十四五”卫生健康高层次人才培养工程(2022CZBJ112)
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2025年第52卷第17期
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doi: 10.20043/j.cnki.MPM.202504211
  • 接收时间:2025-04-13
  • 首发时间:2026-03-18
  • 出版时间:2025-09-10
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  • 收稿日期:2025-04-13
基金
江苏省预防医学科研课题面上项目(Ym2023014)
常州市科技计划(CJ20241043)
常州市卫健委科技项目(QN202382)
常州市“十四五”卫生健康高层次人才培养工程(2022CZBJ112)
作者信息
    1.常州市武进国家高新区人民医院,江苏 常州 213100
    2.常州市武进区疾病预防控制中心,江苏 常州 213100
    3.徐州医科大学公共卫生学院,江苏 徐州 221004
    4.常州经开区公共卫生管理服务中心,江苏 常州 213000
    5.常州市第一人民医院质量管理处,江苏 常州 213000

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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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