Article(id=1324051047651615531, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324050876230415089, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202510141, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760112000000, receivedDateStr=2025-10-11, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793607969439, onlineDateStr=2026-11-02, pubDate=1781020800000, pubDateStr=2026-06-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793607969439, onlineIssueDateStr=2026-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793607969439, creator=13701087609, updateTime=1793607969439, updator=13701087609, issue=Issue{id=1324050876230415089, tenantId=1146029695717560320, journalId=1227665162245664772, year='2026', volume='53', issue='11', pageStart='1921', pageEnd='2112', issueExtLink='null', onlineDate='null', pubDate='1781020800000', pubDateStr='2026-06-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793607928569, creator='13701087609', updateTime=1793670049253, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1324311429322507008, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324050876230415089, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1324311429322507009, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324050876230415089, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=2095, endPage=2102, ext={EN=ArticleExt(id=1324051049245451052, articleId=1324051047651615531, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Associations of complete blood count-derived inflammation indices with osteoporotic fracture in patients with osteoporosis, columnId=1228016569138213037, journalTitle=Modern Preventive Medicine, columnName=Clinical Medicine and Prevention, runingTitle=null, highlight=null, articleAbstract=
Objective To explore the association between different complete blood count (CBC)-derived inflammation indices and the risk of osteoporotic fracture.
Methods A retrospective analysis was performed based on clinical data from 3 560 patients hospitalized in the Department of Osteoporosis at West China Fourth Hospital, Sichuan University. Based on the presence or absence of osteoporotic fracture, the patients were classified into cases and controls. Binary logistic regression, restricted cubic splines, and subgroup analyses were employed to examine the associations of neutrophil / lymphocyte ratio (NLR), monocyte /lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR), the product of platelet count and neutrophil count (PPN), systemic immune-inflammation index (SII), aggregate index of systemic inflammation (AISI) and systemic inflammatory response index (SIRI) with fracture. The performance of the model was evaluated using the receiver operating characteristic curve.
Results Levels of NLR, MLR, SII, AISI, and SIRI were higher in the case group compared to the control group (P<0.05). After adjusting for age, sex, BMI, bone density, diabetes, coronary heart disease, hypertension and C-reactive protein (CRP), PPN was negatively associated with osteoporotic fracture risk (OR=0.93, 95% CI: 0.86-1.00). Subgroup analysis revealed that the negative association between PPN and osteoporotic fracture was predominantly observed in women and non-diabetic patients. Among patients with diabetes, MLR (OR=1.47, 95% CI: 1.15-1.88), NLR (OR=1.24, 95% CI: 1.00-1.54), and SIRI (OR=1.37, 95% CI: 1.07-1.74) were significantly positively correlated with osteoporotic fracture risk. The incorporation of MLR, NLR, and SIRI into the traditional risk factor model significantly improved its discriminatory ability.
Conclusion Elevated PPN levels are associated with a reduced fracture risk in patients with osteoporosis, suggesting that PPN may be a potential protective factor. Among patients with comorbid diabetes, NLR, MLR, and SIRI were significant risk factors and provided valuable incremental information, improving the discriminative ability of the model. This study suggests that CBC-derived inflammation indices can serve as a useful supplement for fracture risk assessment and assist in the early identification and stratification of high-risk populations.
, authors=Ting LIU, Zi-hao LI, Hong-xia XIA, Yang-dan ZHONG, Mao-yao XIA, Ye JU, Zi-lan CHEN, Yu-qi PANG, Xia JIANG, Xue FAN, authorsList=Ting LIU, Zi-hao LI, Hong-xia XIA, Yang-dan ZHONG, Mao-yao XIA, Ye JU, Zi-lan CHEN, Yu-qi PANG, Xia JIANG, Xue FAN, authorCompany=null, correspAuthors=Xue FAN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1324051050570851125, articleId=1324051047651615531, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=全血衍生炎症指数与骨质疏松症患者骨折的关联, columnId=1228016570119680182, journalTitle=现代预防医学, columnName=临床与预防, runingTitle=null, highlight=null, articleAbstract=
目的 探讨不同全血细胞计数衍生的炎症指数与骨质疏松性骨折的关联。
方法 回顾性分析四川大学华西第四医院骨质疏松科住院的3 560例患者临床资料，根据其是否发生骨质疏松性骨折，分为病例组和对照组。采用二分类logistic回归模型、限制性立方样条、亚组分析探索中性粒细胞/淋巴细胞比值（neutrophil / lymphocyte ratio，NLR）、单核细胞/淋巴细胞比值（monocyte / lymphocyte ratio，MLR）、血小板/淋巴细胞比值（platelet/lymphocyte ratio，PLR）、血小板计数与中性粒细胞计数乘积（product of platelet count and neutrophil count，PPN）、全身免疫炎症指数（systemic immune-inflammation index，SII）、全身炎症综合指数（aggregate index of systemic inflammation，AISI）和全身炎症反应指数（systemic inflammatory response index，SIRI）与骨折的关联，利用受试者工作特征曲线评估模型性能。
结果 病例组NLR、MLR、SII、AISI和SIRI水平均高于对照组（P<0.05）。调整年龄、性别、身体质量指数、骨密度、糖尿病、冠心病、高血压及C反应蛋白（C-reactive protein，CRP）后，PPN与骨折风险呈负相关（OR=0.93，95%CI：0.86～1.00），且亚组分析提示其负相关主要存在于女性和未合并糖尿病的患者中。在合并糖尿病的患者中，MLR（OR=1.47，95%CI：1.15～1.88）、NLR（OR=1.24，95%CI：1.00～1.54）和SIRI（OR=1.37，95%CI：1.07～1.74）与骨折风险呈显著正相关；将MLR、NLR、SIRI纳入传统危险因素模型后，模型区分能力显著增强。
结论 PPN水平升高与骨质疏松症患者骨折风险降低相关，提示其可能是潜在保护因素。在合并糖尿病的患者中，NLR、MLR和SIRI是显著危险因素，并提供有价值的增量信息，提升模型的区分能力。本研究提示全血细胞计数衍生炎症指数可作为骨折风险评估的有益补充，有助于高危人群的早期识别和分层管理。
, authors=刘婷, 李子豪, 夏红霞, 钟扬丹, 夏茂瑶, 鞠晔, 陈子岚, 庞玉琦, 姜侠, 范雪, authorsList=刘婷, 李子豪, 夏红霞, 钟扬丹, 夏茂瑶, 鞠晔, 陈子岚, 庞玉琦, 姜侠, 范雪, authorCompany=null, correspAuthors=范雪, authorNote=
刘婷（2000—），女，硕士在读，研究方向：营养与疾病
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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=w71wfZzRhDZ+PsO8ParqBA==, magXml=ZZGW6Cl7QVcOSL1EPVQYHw==, pdfUrl=null, pdf=My/glOyT828GeW4osUbP/Q==, pdfFileSize=1216374, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=MHOSgHcQtchSiEZLv5d+hg==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=dU3vDi0ATC1PU8Sy60jqdg==, mapNumber=null, fund=null)}, authors=[Author(id=1324051050914784058, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1324051051019641660, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, authorId=1324051050914784058, language=EN, stringName=Ting LIU, firstName=Ting, middleName=null, lastName=LIU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1324051051170636605, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, authorId=1324051050914784058, language=CN, stringName=刘婷, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=四川大学华西公共卫生学院/华西第四医院，四川 成都 610041, bio={"content":"
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31(10): 1955-1964., articleTitle=HbA1c variability, in addition to mean HbA1c, predicts incident hip fractures in Chinese People with type 2 diabetes, refAbstract=null)], funds=[Fund(id=1324051059412444036, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, awardId=2023YFC3606300, language=CN, fundingSource=国家重点研发计划(2023YFC3606300), fundOrder=null, country=null), Fund(id=1324051059483747205, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, awardId=2024NSFTD0030, language=CN, fundingSource=四川省科技厅自然科学基金创新研究群体(2024NSFTD0030), fundOrder=null, country=null), Fund(id=1324051059567633286, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, awardId=2023SY-03, language=CN, fundingSource=四川大学华西公共卫生学院（华西第四医院）实验学科振兴计划(2023SY-03), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1324051050797343542, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, xref=null, ext=[AuthorCompanyExt(id=1324051050801537847, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, companyId=1324051050797343542, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China), AuthorCompanyExt(id=1324051050814120760, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, companyId=1324051050797343542, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=四川大学华西公共卫生学院/华西第四医院，四川 成都 610041)])], figs=[ArticleFig(id=1324051056228967283, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=EN, label=Figure 1, caption=
Flow chart of inclusion and exclusion of subjects in the study, figureFileSmall=09lJtj7MBcNX7jTUp12Yzg==, figureFileBig=MHOSgHcQtchSiEZLv5d+hg==, tableContent=null), ArticleFig(id=1324051056329630580, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=CN, label=图1, caption=
研究对象纳入排除流程图, figureFileSmall=09lJtj7MBcNX7jTUp12Yzg==, figureFileBig=MHOSgHcQtchSiEZLv5d+hg==, tableContent=null), ArticleFig(id=1324051058191901558, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=EN, label=Figure 2, caption=
Restricted cubic spline curves between various CBC-DII and osteoporotic fracture, figureFileSmall=tfvgDpuC1iH7+xExoNf/Eg==, figureFileBig=OErue0OS35Yz88SqorxEkA==, tableContent=null), ArticleFig(id=1324051058259010423, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=CN, label=图2, caption=
不同CBC-DII与骨质疏松性骨折的RCS曲线注：图A～G分别为PPN、MLR、NLR、PLR、SII、AISI和SIRI与骨质疏松性骨折风险的RCS图。
, figureFileSmall=tfvgDpuC1iH7+xExoNf/Eg==, figureFileBig=OErue0OS35Yz88SqorxEkA==, tableContent=null), ArticleFig(id=1324051058330313592, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=EN, label=Figure 3, caption=
Forest plots for subgroup analysis of the association between various CBC-DII and osteoporotic fracture, figureFileSmall=RvJoaNjrouSitugXQ2gCEg==, figureFileBig=SEwco3PcpYuXHngJZKLNgg==, tableContent=null), ArticleFig(id=1324051058401616761, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=CN, label=图3, caption=
不同CBC-DII与骨质疏松性骨折关联的亚组分析森林图注：男性样本量有限，性别亚组分析仅针对女性进行。
, figureFileSmall=RvJoaNjrouSitugXQ2gCEg==, figureFileBig=SEwco3PcpYuXHngJZKLNgg==, tableContent=null), ArticleFig(id=1324051058481308538, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=EN, label=Figure 4, caption=
ROC curves of the total population and the subgroup with diabetes, figureFileSmall=avD/kIToPZMzDH1dLuozoA==, figureFileBig=8s6NGF5GpDpX4uZ9oQIRfw==, tableContent=null), ArticleFig(id=1324051058552611707, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=CN, label=图4, caption=
全人群和糖尿病亚组的ROC曲线注：A为全人群；B为糖尿病亚组。
, figureFileSmall=avD/kIToPZMzDH1dLuozoA==, figureFileBig=8s6NGF5GpDpX4uZ9oQIRfw==, tableContent=null), ArticleFig(id=1324051058615526268, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=EN, label=Table 1, caption=
Basic characteristics of participants ［M （P25，P75），n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 总体
(n=3 560) | 骨质疏松性骨折
(n=1 689) | 单纯骨质疏松
(n=1 871) | 统计值
(U/χ2) | P值 |
|---|
| 年龄（岁） | 69.00 (62.00, 76.00) | 73.00 (66.00, 79.00) | 66.00 (59.00, 73.00) | 986 813.500 | <0.001 |
| 性别 | | | | 1.593 | 0.207 |
| 男 | 276 (7.8) | 141 (8.3) | 135 (7.2) | | |
| 女 | 3 284 (92.2) | 1 548 (91.7) | 1 736 (92.8) | | |
| 身高（cm） | 152.00 (148.00, 157.00) | 151.00 (146.00, 156.00) | 153.00 (149.00, 157.00) | 185 685 2.500 | <0.001 |
| 体重（kg） | 55.00 (49.50, 61.00) | 54.70 (49.00, 60.00) | 55.00 (50.00, 61.00) | 166 949 8.000 | 0.003 |
| BMI（kg/m2） | 23.60 (21.50, 26.00) | 23.70 (21.70, 26.10) | 23.40 (21.40, 25.90) | 150 116 4.000 | 0.010 |
| 腰椎骨密度 （g/cm2） | 0.84 (0.75, 0.95) | 0.81 (0.72, 0.92) | 0.86 (0.77, 0.97) | 187 614 3.000 | <0.001 |
| 股骨颈骨密度（g/cm2） | 0.69 (0.62, 0.77) | 0.66 (0.59, 0.74) | 0.72 (0.66, 0.80) | 204 191 1.500 | <0.001 |
| 糖尿病 | | | | 27.236 | <0.001 |
| 是 | 423 (11.9) | 251 (14.9) | 172 (9.2) | | |
| 否 | 3 137 (88.1) | 1 438 (85.1) | 1 699 (90.8) | | |
| 冠心病 | | | | 56.108 | <0.001 |
| 是 | 1 092 (30.7) | 621 (36.8) | 471 (25.2) | | |
| 否 | 2 468 (69.3) | 1 068 (63.2) | 1 400 (74.8) | | |
| 高血压 | | | | 53.968 | <0.001 |
| 是 | 1 126 (31.6) | 636 (37.7) | 490 (26.2) | | |
| 否 | 2 434 (68.4) | 1 053 (62.3) | 1 381 (73.8) | | |
| 中性粒细胞计数（109/L） | 3.15 (2.54, 3.87) | 3.19 (2.57, 3.94) | 3.12 (2.51, 3.82) | 150 896 4.000 | 0.020 |
| 单核细胞计数（109/L） | 0.31 (0.25, 0.39) | 0.33 (0.26, 0.41) | 0.30 (0.25, 0.38) | 143 268 1.000 | <0.001 |
| 血小板计数（109/L） | 185.00(150.00, 224.50) | 183.00(148.00, 222.00) | 188.00(152.00, 227.00) | 165 188 1.000 | 0.019 |
| 淋巴细胞计数（109/L） | 1.72 (1.38, 2.10) | 1.68 (1.33, 2.07) | 1.75 (1.42, 2.13) | 169 696 4.000 | <0.001 |
| CRP （mg/L） | 1.26 (1.03, 2.54) | 1.25 (1.17, 3.13) | 1.26 (0.94, 2.07) | 149 834 4.500 | 0.007 |
| CBC-DII | | | | | |
| NLR | 1.84 (1.39, 2.42) | 1.91 (1.44, 2.54) | 1.77 (1.36, 2.34) | 143 561 7.500 | <0.001 |
| MLR | 0.18 (0.14, 0.24) | 0.19 (0.15, 0.25) | 0.17 (0.14, 0.23) | 135 572 1.000 | <0.001 |
| PLR | 107.80
(83.73, 138.73) | 108.43
(84.23, 141.41) | 106.59
(83.23, 136.61) | 153 149 3.000 | 0.113 |
| PPN | 571.09
(406.89, 804.96) | 571.20
(403.92, 812.82) | 571.05
(408.00, 794.64) | 157 829 1.000 | 0.954 |
| SII | 334.63
(237.68, 468.97) | 339.30
(245.02, 487.00) | 330.76
(233.89, 458.55) | 150 899 2.000 | 0.020 |
| AISI | 106.22
(66.92, 166.24) | 111.53
(68.71, 177.28) | 100.93
(65.49, 157.13) | 146 289 0.500 | <0.001 |
| SIRI | 0.58 (0.40, 0.85) | 0.61 (0.41, 0.92) | 0.54 (0.38, 0.80) | 139 861 4.000 | <0.001 |
), ArticleFig(id=1324051058753938301, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=CN, label=表1, caption=
研究对象基本特征［M（P25，P75），n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 总体
(n=3 560) | 骨质疏松性骨折
(n=1 689) | 单纯骨质疏松
(n=1 871) | 统计值
(U/χ2) | P值 |
|---|
| 年龄（岁） | 69.00 (62.00, 76.00) | 73.00 (66.00, 79.00) | 66.00 (59.00, 73.00) | 986 813.500 | <0.001 |
| 性别 | | | | 1.593 | 0.207 |
| 男 | 276 (7.8) | 141 (8.3) | 135 (7.2) | | |
| 女 | 3 284 (92.2) | 1 548 (91.7) | 1 736 (92.8) | | |
| 身高（cm） | 152.00 (148.00, 157.00) | 151.00 (146.00, 156.00) | 153.00 (149.00, 157.00) | 185 685 2.500 | <0.001 |
| 体重（kg） | 55.00 (49.50, 61.00) | 54.70 (49.00, 60.00) | 55.00 (50.00, 61.00) | 166 949 8.000 | 0.003 |
| BMI（kg/m2） | 23.60 (21.50, 26.00) | 23.70 (21.70, 26.10) | 23.40 (21.40, 25.90) | 150 116 4.000 | 0.010 |
| 腰椎骨密度 （g/cm2） | 0.84 (0.75, 0.95) | 0.81 (0.72, 0.92) | 0.86 (0.77, 0.97) | 187 614 3.000 | <0.001 |
| 股骨颈骨密度（g/cm2） | 0.69 (0.62, 0.77) | 0.66 (0.59, 0.74) | 0.72 (0.66, 0.80) | 204 191 1.500 | <0.001 |
| 糖尿病 | | | | 27.236 | <0.001 |
| 是 | 423 (11.9) | 251 (14.9) | 172 (9.2) | | |
| 否 | 3 137 (88.1) | 1 438 (85.1) | 1 699 (90.8) | | |
| 冠心病 | | | | 56.108 | <0.001 |
| 是 | 1 092 (30.7) | 621 (36.8) | 471 (25.2) | | |
| 否 | 2 468 (69.3) | 1 068 (63.2) | 1 400 (74.8) | | |
| 高血压 | | | | 53.968 | <0.001 |
| 是 | 1 126 (31.6) | 636 (37.7) | 490 (26.2) | | |
| 否 | 2 434 (68.4) | 1 053 (62.3) | 1 381 (73.8) | | |
| 中性粒细胞计数（109/L） | 3.15 (2.54, 3.87) | 3.19 (2.57, 3.94) | 3.12 (2.51, 3.82) | 150 896 4.000 | 0.020 |
| 单核细胞计数（109/L） | 0.31 (0.25, 0.39) | 0.33 (0.26, 0.41) | 0.30 (0.25, 0.38) | 143 268 1.000 | <0.001 |
| 血小板计数（109/L） | 185.00(150.00, 224.50) | 183.00(148.00, 222.00) | 188.00(152.00, 227.00) | 165 188 1.000 | 0.019 |
| 淋巴细胞计数（109/L） | 1.72 (1.38, 2.10) | 1.68 (1.33, 2.07) | 1.75 (1.42, 2.13) | 169 696 4.000 | <0.001 |
| CRP （mg/L） | 1.26 (1.03, 2.54) | 1.25 (1.17, 3.13) | 1.26 (0.94, 2.07) | 149 834 4.500 | 0.007 |
| CBC-DII | | | | | |
| NLR | 1.84 (1.39, 2.42) | 1.91 (1.44, 2.54) | 1.77 (1.36, 2.34) | 143 561 7.500 | <0.001 |
| MLR | 0.18 (0.14, 0.24) | 0.19 (0.15, 0.25) | 0.17 (0.14, 0.23) | 135 572 1.000 | <0.001 |
| PLR | 107.80
(83.73, 138.73) | 108.43
(84.23, 141.41) | 106.59
(83.23, 136.61) | 153 149 3.000 | 0.113 |
| PPN | 571.09
(406.89, 804.96) | 571.20
(403.92, 812.82) | 571.05
(408.00, 794.64) | 157 829 1.000 | 0.954 |
| SII | 334.63
(237.68, 468.97) | 339.30
(245.02, 487.00) | 330.76
(233.89, 458.55) | 150 899 2.000 | 0.020 |
| AISI | 106.22
(66.92, 166.24) | 111.53
(68.71, 177.28) | 100.93
(65.49, 157.13) | 146 289 0.500 | <0.001 |
| SIRI | 0.58 (0.40, 0.85) | 0.61 (0.41, 0.92) | 0.54 (0.38, 0.80) | 139 861 4.000 | <0.001 |
), ArticleFig(id=1324051058850407294, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=EN, label=Table 2, caption=
Association between various CBC-DII and osteoporotic fracture
, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 单因素分析 | 多因素分析 |
|---|
| OR (95%CI) | P值 | 基础模型a | 全模型b |
|---|
| OR (95%CI) | P值 | OR (95%CI) | P值 |
|---|
| ln-NLR | 1.18 (1.11～1.26) | <0.001 | 1.04 (0.97～1.12) | 0.313 | 1.04 (0.97～1.12) | 0.299 |
| ln-MLR | 1.30 (1.22～1.39) | <0.001 | 1.05 (0.98～1.13) | 0.190 | 1.05 (0.98～1.14) | 0.179 |
| ln-PLR | 1.06 (0.99～1.13) | 0.073 | 1.04 (0.97～1.12) | 0.274 | 1.04 (0.97～1.12) | 0.267 |
| ln-PPN | 1.01 (0.95～1.08) | 0.754 | 0.93 (0.87～1.00) | 0.056 | 0.93 (0.86～1.00) | 0.049 |
| ln-SII | 1.10 (1.03～1.18) | 0.005 | 1.00 (0.93～1.07) | 0.935 | 1.00 (0.92～1.07) | 0.939 |
| ln-AISI | 1.16 (1.08～1.24) | <0.001 | 0.97 (0.90～1.05) | 0.445 | 0.97 (0.90～1.05) | 0.431 |
| ln-SIRI | 1.24 (1.16～1.32) | <0.001 | 1.00 (0.92～1.07) | 0.930 | 1.00 (0.92～1.08) | 0.935 |
), ArticleFig(id=1324051058930099071, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=CN, label=表2, caption=
不同CBC-DII与骨质疏松性骨折的关联
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| 指标 | 单因素分析 | 多因素分析 |
|---|
| OR (95%CI) | P值 | 基础模型a | 全模型b |
|---|
| OR (95%CI) | P值 | OR (95%CI) | P值 |
|---|
| ln-NLR | 1.18 (1.11～1.26) | <0.001 | 1.04 (0.97～1.12) | 0.313 | 1.04 (0.97～1.12) | 0.299 |
| ln-MLR | 1.30 (1.22～1.39) | <0.001 | 1.05 (0.98～1.13) | 0.190 | 1.05 (0.98～1.14) | 0.179 |
| ln-PLR | 1.06 (0.99～1.13) | 0.073 | 1.04 (0.97～1.12) | 0.274 | 1.04 (0.97～1.12) | 0.267 |
| ln-PPN | 1.01 (0.95～1.08) | 0.754 | 0.93 (0.87～1.00) | 0.056 | 0.93 (0.86～1.00) | 0.049 |
| ln-SII | 1.10 (1.03～1.18) | 0.005 | 1.00 (0.93～1.07) | 0.935 | 1.00 (0.92～1.07) | 0.939 |
| ln-AISI | 1.16 (1.08～1.24) | <0.001 | 0.97 (0.90～1.05) | 0.445 | 0.97 (0.90～1.05) | 0.431 |
| ln-SIRI | 1.24 (1.16～1.32) | <0.001 | 1.00 (0.92～1.07) | 0.930 | 1.00 (0.92～1.08) | 0.935 |
), ArticleFig(id=1324051059009790848, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=EN, label=Table 3, caption=
Association between various CBC-DII and osteoporotic fracture by quartiles
, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 指标范围 | 基础模型 | 全模型 |
|---|
| OR (95%CI) | P值 | OR (95%CI) | P值 |
|---|
| ln-NLR | | | | | |
| Q1 | ≤0.33 | 1.00 | — | 1.00 | — |
| Q2 | >0.33～0.61 | 1.06 (0.87～1.30) | 0.556 | 1.06 (0.87～1.30) | 0.553 |
| Q3 | >0.61～0.88 | 1.10 (0.90～1.35) | 0.349 | 1.10 (0.90～1.35) | 0.345 |
| Q4 | >0.88 | 1.06 (0.87～1.30) | 0.562 | 1.07 (0.86～1.31) | 0.553 |
| ln-MLR | | | | | |
| Q1 | ≤-1.97 | 1.00 | — | 1.00 | — |
| Q2 | >-1.97～ -1.71 | 1.06 (0.87～1.30) | 0.551 | 1.06 (0.87～1.30) | 0.549 |
| Q3 | >-1.71～ -1.43 | 0.97 (0.79～1.19) | 0.738 | 0.97 (0.79～1.19) | 0.747 |
| Q4 | >-1.43 | 1.14 (0.93～1.41) | 0.212 | 1.15 (0.93～1.43) | 0.201 |
| ln-PLR | | | | | |
| Q1 | ≤4.43 | 1.00 | — | 1.00 | — |
| Q2 | >4.43～4.68 | 1.07 (0.87～1.31) | 0.511 | 1.07 (0.87～1.31) | 0.511 |
| Q3 | >4.68～4.93 | 1.01 (0.83～1.24) | 0.904 | 1.01 (0.83～1.24) | 0.898 |
| Q4 | >4.93 | 1.14 (0.93～1.39) | 0.212 | 1.14 (0.93～1.40) | 0.207 |
| ln-PPN | | | | | |
| Q1 | ≤6.01 | 1.00 | — | 1.00 | — |
| Q2 | >6.01～6.35 | 0.88 (0.72～1.07) | 0.206 | 0.88 (0.72～1.07) | 0.199 |
| Q3 | >6.35～6.69 | 0.82 (0.67～1.00) | 0.048 | 0.81 (0.66～0.99) | 0.044 |
| Q4 | >6.69 | 0.82 (0.67～1.00) | 0.051 | 0.81 (0.66～1.00) | 0.046 |
| ln-SII | | | | | |
| Q1 | ≤5.47 | 1.00 | — | 1.00 | — |
| Q2 | >5.47～5.81 | 1.03 (0.84～1.26) | 0.766 | 1.03 (0.84～1.26) | 0.765 |
| Q3 | >5.81～6.15 | 0.92 (0.75～1.12) | 0.393 | 0.92 (0.75～1.12) | 0.398 |
| Q4 | >6.15 | 1.02 (0.83～1.25) | 0.864 | 1.02 (0.83～1.26) | 0.859 |
| ln-AISI | | | | | |
| Q1 | ≤4.20 | 1.00 | — | 1.00 | — |
| Q2 | >4.20～4.67 | 0.85 (0.69～1.04) | 0.112 | 0.85 (0.69～1.04) | 0.110 |
| Q3 | >4.67～5.11 | 0.92 (0.75～1.12) | 0.409 | 0.92 (0.75～1.12) | 0.396 |
| Q4 | >5.11 | 0.86 (0.70～1.06) | 0.154 | 0.85 (0.69～1.06) | 0.149 |
| ln-SIRI | | | | | |
| Q1 | ≤-0.92 | 1.00 | — | 1.00 | — |
| Q2 | >-0.92～ -0.54 | 0.92 (0.75～1.13) | 0.422 | 0.92 (0.75～1.13) | 0.423 |
| Q3 | >-0.54～ -0.16 | 0.90 (0.73～1.10) | 0.303 | 0.90 (0.73～1.10) | 0.307 |
| Q4 | >-0.16 | 0.96 (0.78～1.19) | 0.740 | 0.97 (0.78～1.20) | 0.751 |
), ArticleFig(id=1324051059127231361, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=CN, label=表3, caption=
不同CBC-DII与骨质疏松性骨折的关联（四分类）
, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 指标范围 | 基础模型 | 全模型 |
|---|
| OR (95%CI) | P值 | OR (95%CI) | P值 |
|---|
| ln-NLR | | | | | |
| Q1 | ≤0.33 | 1.00 | — | 1.00 | — |
| Q2 | >0.33～0.61 | 1.06 (0.87～1.30) | 0.556 | 1.06 (0.87～1.30) | 0.553 |
| Q3 | >0.61～0.88 | 1.10 (0.90～1.35) | 0.349 | 1.10 (0.90～1.35) | 0.345 |
| Q4 | >0.88 | 1.06 (0.87～1.30) | 0.562 | 1.07 (0.86～1.31) | 0.553 |
| ln-MLR | | | | | |
| Q1 | ≤-1.97 | 1.00 | — | 1.00 | — |
| Q2 | >-1.97～ -1.71 | 1.06 (0.87～1.30) | 0.551 | 1.06 (0.87～1.30) | 0.549 |
| Q3 | >-1.71～ -1.43 | 0.97 (0.79～1.19) | 0.738 | 0.97 (0.79～1.19) | 0.747 |
| Q4 | >-1.43 | 1.14 (0.93～1.41) | 0.212 | 1.15 (0.93～1.43) | 0.201 |
| ln-PLR | | | | | |
| Q1 | ≤4.43 | 1.00 | — | 1.00 | — |
| Q2 | >4.43～4.68 | 1.07 (0.87～1.31) | 0.511 | 1.07 (0.87～1.31) | 0.511 |
| Q3 | >4.68～4.93 | 1.01 (0.83～1.24) | 0.904 | 1.01 (0.83～1.24) | 0.898 |
| Q4 | >4.93 | 1.14 (0.93～1.39) | 0.212 | 1.14 (0.93～1.40) | 0.207 |
| ln-PPN | | | | | |
| Q1 | ≤6.01 | 1.00 | — | 1.00 | — |
| Q2 | >6.01～6.35 | 0.88 (0.72～1.07) | 0.206 | 0.88 (0.72～1.07) | 0.199 |
| Q3 | >6.35～6.69 | 0.82 (0.67～1.00) | 0.048 | 0.81 (0.66～0.99) | 0.044 |
| Q4 | >6.69 | 0.82 (0.67～1.00) | 0.051 | 0.81 (0.66～1.00) | 0.046 |
| ln-SII | | | | | |
| Q1 | ≤5.47 | 1.00 | — | 1.00 | — |
| Q2 | >5.47～5.81 | 1.03 (0.84～1.26) | 0.766 | 1.03 (0.84～1.26) | 0.765 |
| Q3 | >5.81～6.15 | 0.92 (0.75～1.12) | 0.393 | 0.92 (0.75～1.12) | 0.398 |
| Q4 | >6.15 | 1.02 (0.83～1.25) | 0.864 | 1.02 (0.83～1.26) | 0.859 |
| ln-AISI | | | | | |
| Q1 | ≤4.20 | 1.00 | — | 1.00 | — |
| Q2 | >4.20～4.67 | 0.85 (0.69～1.04) | 0.112 | 0.85 (0.69～1.04) | 0.110 |
| Q3 | >4.67～5.11 | 0.92 (0.75～1.12) | 0.409 | 0.92 (0.75～1.12) | 0.396 |
| Q4 | >5.11 | 0.86 (0.70～1.06) | 0.154 | 0.85 (0.69～1.06) | 0.149 |
| ln-SIRI | | | | | |
| Q1 | ≤-0.92 | 1.00 | — | 1.00 | — |
| Q2 | >-0.92～ -0.54 | 0.92 (0.75～1.13) | 0.422 | 0.92 (0.75～1.13) | 0.423 |
| Q3 | >-0.54～ -0.16 | 0.90 (0.73～1.10) | 0.303 | 0.90 (0.73～1.10) | 0.307 |
| Q4 | >-0.16 | 0.96 (0.78～1.19) | 0.740 | 0.97 (0.78～1.20) | 0.751 |
), ArticleFig(id=1324051059206923138, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=EN, label=Table 4, caption=
Improvement in model discrimination with different CBC-DII as assessed by IDI in the diabetes subgroup
, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | IDI (95%CI) | P值 |
|---|
| ln-MLR | 0.024 93 (0.010 09～0.038 69) | <0.001 |
| ln-NLR | 0.009 51 (0.000 99～0.018 89) | 0.037 |
| ln-PPN | -0.000 03 (-0.000 33～0.000 32) | 0.847 |
| ln-SIRI | 0.016 27 (0.004 05～0.027 07) | 0.007 |
), ArticleFig(id=1324051059274032003, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324051047651615531, language=CN, label=表4, caption=
基于IDI评估不同CBC-DII对模型区分能力的改善（糖尿病亚组）
, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | IDI (95%CI) | P值 |
|---|
| ln-MLR | 0.024 93 (0.010 09～0.038 69) | <0.001 |
| ln-NLR | 0.009 51 (0.000 99～0.018 89) | 0.037 |
| ln-PPN | -0.000 03 (-0.000 33～0.000 32) | 0.847 |
| ln-SIRI | 0.016 27 (0.004 05～0.027 07) | 0.007 |
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