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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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=
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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24(1): 107., articleTitle=The association between the neutrophil-to-lymphocyte ratio and type 2 diabetes mellitus: a cross-sectional study, refAbstract=null)], funds=[Fund(id=1241139388034380460, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, awardId=Ym2023014, language=CN, fundingSource=江苏省预防医学科研课题面上项目(Ym2023014), fundOrder=null, country=null), Fund(id=1241139388101489327, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, awardId=CJ20241043, language=CN, fundingSource=常州市科技计划(CJ20241043), fundOrder=null, country=null), Fund(id=1241139388210541233, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, awardId=QN202382, language=CN, fundingSource=常州市卫健委科技项目(QN202382), fundOrder=null, country=null), Fund(id=1241139388319593138, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, awardId=2022CZBJ112, language=CN, fundingSource=常州市“十四五”卫生健康高层次人才培养工程(2022CZBJ112), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241139377242435802, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, xref=1., ext=[AuthorCompanyExt(id=1241139377250824408, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, companyId=1241139377242435802, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=People’s Hospital of Changzhou Wujin National Hi-tech Zone, Changzhou, Jiangsu 213100, China), AuthorCompanyExt(id=1241139377347293409, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, companyId=1241139377242435802, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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Stratified analysis of the correlation between PLR, NLR and the prevalence of T2DM, figureFileSmall=VnBKme8qx3tF+XyqYLg6sQ==, figureFileBig=m0bMifksRX28OTPVarC4qw==, tableContent=null), ArticleFig(id=1241139386969027208, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, language=CN, label=图1, caption=
PLR和NLR与T2DM患病相关性的分层分析, figureFileSmall=VnBKme8qx3tF+XyqYLg6sQ==, figureFileBig=m0bMifksRX28OTPVarC4qw==, tableContent=null), ArticleFig(id=1241139387099050638, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, language=EN, label=Figure 2, caption=
Dose-response relationships between PLR (A), NLR (B) and the prevalence of T2DM, figureFileSmall=o4gWLAMSEA+DCtbrP23vzg==, figureFileBig=RmJaQhFTRxeLmunZoKI7NQ==, tableContent=null), ArticleFig(id=1241139387199713938, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241036333934768538, language=CN, label=图2, caption=
PLR和NLR与T2DM患病的剂量反应关系注: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/χ2值 | P值 |
|---|
| 年龄(岁) | 72.7±5.6 | 72.6±5.7 | 72.9±5.4 | -7.35 | <0.001 |
| BMI(kg/m2) | 24.0±3.6 | 23.9±3.6 | 24.7±3.5 | -29.47 | <0.001 |
| 腰围(cm) | 84.4±9.5 | 83.9±9.5 | 86.8±9.1 | -37.18 | <0.001 |
| 收缩压(mm Hg) | 140.9±19.3 | 140.4±19.2 | 143.3±19.4 | -17.73 | <0.001 |
| 舒张压(mm Hg) | 80.7±10.5 | 80.9±10.5 | 79.7±10.4 | 13.20 | <0.001 |
| ALT(U/L) | 21.0±16.2 | 20.6±15.9 | 22.9±17.7 | -15.48 | <0.001 |
| AST(U/L) | 23.8±13.6 | 23.9±12.6 | 23.1±18.3 | 5.39 | <0.001 |
| 肌酐(μmol/L) | 70.8±26.1 | 70.7±24.4 | 71.2±34.2 | -1.56 | 0.119 |
| 尿酸(μmol/L) | 336.6±90.5 | 338.1±89.9 | 327.8±93.1 | 13.41 | <0.001 |
| 总胆固醇(mmol/L) | 5.0±1.0 | 5.0±1.0 | 4.8±1.1 | 21.31 | <0.001 |
| 甘油三酯mmol/L) | 1.8±1.3 | 1.8±1.2 | 2.1±1.6 | -25.23 | <0.001 |
| LDL-C(mmol/L) | 2.9±0.9 | 2.9±0.9 | 2.8±0.9 | 20.80 | <0.001 |
| HDL-C(mmol/L) | 1.3±0.3 | 1.4±0.3 | 1.2±0.3 | 39.18 | <0.001 |
| 空腹血糖(mmol/L) | 6.3±1.7 | 5.9±1.1 | 8.4±2.5 | -124.78 | <0.001 |
| Hcy(mmol/L) | 14.4±8.6 | 14.5±8.8 | 13.7±6.9 | 13.24 | <0.001 |
| 血小板(×109/L) | 205.2±57.1 | 205.0±56.9 | 206.0±57.7 | -2.05 | 0.040 |
| NEUT(×109/L) | 3.6±1.2 | 3.5±1.2 | 4.0±1.3 | -38.36 | <0.001 |
| 淋巴细胞(×109/L) | 2.0±0.8 | 2.0±0.8 | 2.1±0.8 | -18.31 | <0.001 |
| PLR | 111.4±41.6 | 112.3±42.0 | 106.0±39.0 | 19.09 | <0.001 |
| NLR | 2.0±0.9 | 2.0±0.9 | 2.1±0.9 | -13.21 | <0.001 |
| 性别 | | | | 263.30 | <0.001 |
| 男 | 53 557 (47.8) | 46 436 (48.8) | 7 121 (42.0) | | |
| 女 | 58 516 (52.2) | 48 702 (51.2) | 9 814 (58.0) | | |
| 高血压 | | | | 5 088.51 | <0.001 |
| 否 | 51 496 (45.9) | 47 977 (50.4) | 3 519 (20.8) | | |
| 是 | 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 | | | | 5.26 | 0.022 |
| 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/χ2值 | P值 |
|---|
| 年龄(岁) | 72.7±5.6 | 72.6±5.7 | 72.9±5.4 | -7.35 | <0.001 |
| BMI(kg/m2) | 24.0±3.6 | 23.9±3.6 | 24.7±3.5 | -29.47 | <0.001 |
| 腰围(cm) | 84.4±9.5 | 83.9±9.5 | 86.8±9.1 | -37.18 | <0.001 |
| 收缩压(mm Hg) | 140.9±19.3 | 140.4±19.2 | 143.3±19.4 | -17.73 | <0.001 |
| 舒张压(mm Hg) | 80.7±10.5 | 80.9±10.5 | 79.7±10.4 | 13.20 | <0.001 |
| ALT(U/L) | 21.0±16.2 | 20.6±15.9 | 22.9±17.7 | -15.48 | <0.001 |
| AST(U/L) | 23.8±13.6 | 23.9±12.6 | 23.1±18.3 | 5.39 | <0.001 |
| 肌酐(μmol/L) | 70.8±26.1 | 70.7±24.4 | 71.2±34.2 | -1.56 | 0.119 |
| 尿酸(μmol/L) | 336.6±90.5 | 338.1±89.9 | 327.8±93.1 | 13.41 | <0.001 |
| 总胆固醇(mmol/L) | 5.0±1.0 | 5.0±1.0 | 4.8±1.1 | 21.31 | <0.001 |
| 甘油三酯mmol/L) | 1.8±1.3 | 1.8±1.2 | 2.1±1.6 | -25.23 | <0.001 |
| LDL-C(mmol/L) | 2.9±0.9 | 2.9±0.9 | 2.8±0.9 | 20.80 | <0.001 |
| HDL-C(mmol/L) | 1.3±0.3 | 1.4±0.3 | 1.2±0.3 | 39.18 | <0.001 |
| 空腹血糖(mmol/L) | 6.3±1.7 | 5.9±1.1 | 8.4±2.5 | -124.78 | <0.001 |
| Hcy(mmol/L) | 14.4±8.6 | 14.5±8.8 | 13.7±6.9 | 13.24 | <0.001 |
| 血小板(×109/L) | 205.2±57.1 | 205.0±56.9 | 206.0±57.7 | -2.05 | 0.040 |
| NEUT(×109/L) | 3.6±1.2 | 3.5±1.2 | 4.0±1.3 | -38.36 | <0.001 |
| 淋巴细胞(×109/L) | 2.0±0.8 | 2.0±0.8 | 2.1±0.8 | -18.31 | <0.001 |
| PLR | 111.4±41.6 | 112.3±42.0 | 106.0±39.0 | 19.09 | <0.001 |
| NLR | 2.0±0.9 | 2.0±0.9 | 2.1±0.9 | -13.21 | <0.001 |
| 性别 | | | | 263.30 | <0.001 |
| 男 | 53 557 (47.8) | 46 436 (48.8) | 7 121 (42.0) | | |
| 女 | 58 516 (52.2) | 48 702 (51.2) | 9 814 (58.0) | | |
| 高血压 | | | | 5 088.51 | <0.001 |
| 否 | 51 496 (45.9) | 47 977 (50.4) | 3 519 (20.8) | | |
| 是 | 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 | | | | 5.26 | 0.022 |
| 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) | P值 | OR值(95%CI) | P值 | OR值(95%CI) | P值 |
|---|
| PLR | 112 073 | 1.00(1.00~1.00) | <0.001 | 1.00(1.00~1.00) | <0.001 | 1.00(1.00~1.00) | <0.001 |
| PLR (Per 1 SD) | 112 073 | 0.85(0.84~0.87) | <0.001 | 0.88(0.86~0.89) | <0.001 | 0.88(0.87~0.90) | <0.001 |
| PLR 四分位数分组 | | | | | | | |
| Q1 (<82.9) | 28 015 | 1.00 (参照组) | | 1.00 (参照组) | | 1.00 (参照组) | |
| Q2 (82.9~104.9) | 28 004 | 0.92(0.88~0.97) | <0.001 | 0.93(0.89~0.97) | 0.002 | 0.93(0.88~0.97) | 0.002 |
| Q3 (105.0~131.9) | 28 031 | 0.80(0.76~0.83) | <0.001 | 0.83(0.79~0.87) | <0.001 | 0.83(0.79~0.87) | <0.001 |
| Q4 (≥132) | 28 023 | 0.67(0.64~0.70) | <0.001 | 0.72(0.69~0.76) | <0.001 | 0.73(0.70~0.77) | <0.001 |
| P for trend | | | <0.001 | | <0.001 | | <0.001 |
| NLR | 112 073 | 1.13(1.11~1.14) | <0.001 | 1.14(1.12~1.16) | <0.001 | 1.11(1.08~1.13) | <0.001 |
| NLR (Per 1 SD) | 112 073 | 1.11(1.09~1.13) | <0.001 | 1.12(1.10~1.14) | <0.001 | 1.09(1.07~1.11) | <0.001 |
| NLR四分位数分组 | | | | | | | |
| Q1 (<1.39) | 28 016 | 1.00 (参照组) | | 1.00 (参照组) | | 1.00 (参照组) | |
| Q2 (1.39~1.78) | 27 991 | 1.17(1.12~1.23) | <0.001 | 1.16(1.10~1.22) | <0.001 | 1.12(1.06~1.18) | <0.001 |
| Q3 (1.79~2.32) | 28 028 | 1.27(1.21~1.33) | <0.001 | 1.26(1.20~1.32) | <0.001 | 1.19(1.13~1.25) | <0.001 |
| Q4 (≥2.33) | 28 038 | 1.43(1.37~1.50) | <0.001 | 1.45(1.38~1.53) | <0.001 | 1.35(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) | P值 | OR值(95%CI) | P值 | OR值(95%CI) | P值 |
|---|
| PLR | 112 073 | 1.00(1.00~1.00) | <0.001 | 1.00(1.00~1.00) | <0.001 | 1.00(1.00~1.00) | <0.001 |
| PLR (Per 1 SD) | 112 073 | 0.85(0.84~0.87) | <0.001 | 0.88(0.86~0.89) | <0.001 | 0.88(0.87~0.90) | <0.001 |
| PLR 四分位数分组 | | | | | | | |
| Q1 (<82.9) | 28 015 | 1.00 (参照组) | | 1.00 (参照组) | | 1.00 (参照组) | |
| Q2 (82.9~104.9) | 28 004 | 0.92(0.88~0.97) | <0.001 | 0.93(0.89~0.97) | 0.002 | 0.93(0.88~0.97) | 0.002 |
| Q3 (105.0~131.9) | 28 031 | 0.80(0.76~0.83) | <0.001 | 0.83(0.79~0.87) | <0.001 | 0.83(0.79~0.87) | <0.001 |
| Q4 (≥132) | 28 023 | 0.67(0.64~0.70) | <0.001 | 0.72(0.69~0.76) | <0.001 | 0.73(0.70~0.77) | <0.001 |
| P for trend | | | <0.001 | | <0.001 | | <0.001 |
| NLR | 112 073 | 1.13(1.11~1.14) | <0.001 | 1.14(1.12~1.16) | <0.001 | 1.11(1.08~1.13) | <0.001 |
| NLR (Per 1 SD) | 112 073 | 1.11(1.09~1.13) | <0.001 | 1.12(1.10~1.14) | <0.001 | 1.09(1.07~1.11) | <0.001 |
| NLR四分位数分组 | | | | | | | |
| Q1 (<1.39) | 28 016 | 1.00 (参照组) | | 1.00 (参照组) | | 1.00 (参照组) | |
| Q2 (1.39~1.78) | 27 991 | 1.17(1.12~1.23) | <0.001 | 1.16(1.10~1.22) | <0.001 | 1.12(1.06~1.18) | <0.001 |
| Q3 (1.79~2.32) | 28 028 | 1.27(1.21~1.33) | <0.001 | 1.26(1.20~1.32) | <0.001 | 1.19(1.13~1.25) | <0.001 |
| Q4 (≥2.33) | 28 038 | 1.43(1.37~1.50) | <0.001 | 1.45(1.38~1.53) | <0.001 | 1.35(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 值 |
|---|
| 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 ratio | | 0.012 |
| 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 值 |
|---|
| 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 ratio | | 0.012 |
| 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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