Article(id=1324050812984500741, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324050669933572771, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202510159, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760284800000, receivedDateStr=2025-10-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793607913490, onlineDateStr=2026-11-02, pubDate=1778342400000, pubDateStr=2026-05-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793607913490, onlineIssueDateStr=2026-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793607913490, creator=13701087609, updateTime=1793607913490, updator=13701087609, issue=Issue{id=1324050669933572771, tenantId=1146029695717560320, journalId=1227665162245664772, year='2026', volume='53', issue='9', pageStart='1537', pageEnd='1728', issueExtLink='null', onlineDate='null', pubDate='1778342400000', pubDateStr='2026-05-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793607879384, creator='13701087609', updateTime=1793670100562, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1324311644528050975, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324050669933572771, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1324311644528050976, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324050669933572771, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1723, endPage=1728, ext={EN=ArticleExt(id=1324050813349405190, articleId=1324050812984500741, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Association between the high-density lipoprotein cholesterol to cystatin C ratio and chronic kidney disease in middle-aged and older Chinese adults, columnId=1228016569138213037, journalTitle=Modern Preventive Medicine, columnName=Clinical Medicine and Prevention, runingTitle=null, highlight=null, articleAbstract=
Objective To investigate the association between the high-density lipoprotein cholesterol to cystatin C ratio (HDL-C/CysC) and the risk of chronic kidney disease (CKD) in middle-aged and older Chinese populations.
Methods Utilizing demographic statistics, disease history, physical examination, and blood test data from the China Health and Retirement Longitudinal Study (CHARLS) between 2011 and 2020, we excluded individuals with missing key indicators, pre-existing CKD at baseline, or renal dysfunction. Participants were categorized into quartiles based on HDL-C/CysC ratios. A Cox proportional hazards regression model was employed to examine the relationship between HDL-C/CysC ratio levels and CKD risk, with subgroup analyses conducted by age, sex, and body mass index (BMI).
Results The study included 6 429 subjects with an age distribution of 59.00 (53.00-66.00) and a 9-year follow-up period. During follow-up, 1 007 incident CKD cases were identified, yielding an incidence density of 20.46 per 1 000 person-years. After adjusting for potential confounding factors, using the lowest quartile (Q1) of HDL-C/CysC ratio as reference, the hazard ratios (HRs) and 95% confidence intervals (CIs) for CKD risk in Q2, Q3, and Q4 were 0.81 (0.68-0.97), 0.50 (0.41-0.61), and 0.22 (0.16-0.29), respectively. A significant inverse association was observed between increasing HDL-C/CysC quartiles and CKD risk (P<0.001).
Conclusion In middle-aged and older Chinese adults, the HDL-C/CysC ratio is independently and significantly associated with CKD risk. A higher HDL-C/CysC ratio may be a protective factor for CKD.
, authors=Xin LI, Qian-qian MA, Ming-yu ZUO, Jun-ke FU, Han ZHANG, Guo-li YAN, De-chen LIU, Jin-jin WANG, authorsList=Xin LI, Qian-qian MA, Ming-yu ZUO, Jun-ke FU, Han ZHANG, Guo-li YAN, De-chen LIU, Jin-jin WANG, authorCompany=null, correspAuthors=Jin-jin WANG, 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=1324050816159588873, articleId=1324050812984500741, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=中国中老年人高密度脂蛋白胆固醇与胱抑素C的比值与慢性肾病的关联研究, columnId=1228016570119680182, journalTitle=现代预防医学, columnName=临床与预防, runingTitle=null, highlight=null, articleAbstract=
目的 探讨中国中老年人群高密度脂蛋白胆固醇（high-density lipoprotein cholesterol，HDL-C）和血清胱抑素C（cystatin C，CysC）比值与慢性肾脏病（chronic kidney disease，CKD）发病风险的关联。
方法 基于中国健康与养老追踪调查（China Health and Retirement Longitudinal Study，CHARLS）2011—2020年的人口学统计数据、疾病史、体格检查和血液检查数据，排除主要指标缺失、基线患CKD以及有肾功能障碍者，按照HDL-C/CysC比值的四分位数进行分组，采用Cox比例风险回归模型探讨HDL-C/CysC比值水平与CKD发病风险之间的关联，并且按照年龄、性别和身体质量指数（body mass index，BMI）进行亚组分析。
结果 本研究最终纳入6 429例研究对象，并随访9年，随访期间1 007人患CKD，发病密度为20.46/千人年，年龄分布为59.00（53.00，66.00）岁。调整潜在混杂因素后，以基线HDL-C/CysC比值分组后的Q1组为参照，分析得出Q2组、Q3组、Q4组CKD发病风险的HR值（95%CI）分别为0.81（0.68～0.97）、0.50（0.41～0.61）和0.22（0.16～0.29）。随着HDL-C/CysC比值四分位数的逐渐增加，研究对象的CKD发病风险均显著减小（P<0.001），HDL-C/CysC比值与CKD发病风险呈负相关。
结论 中国中老年人群中，HDL-C/CysC比值与CKD的发病风险存在独立的显著相关关系，较高的HDL-C/CysC比值可能是CKD发病的保护因素。
, authors=李鑫, 马倩倩, 左铭钰, 符竣轲, 张涵, 闫国立, 刘德臣, 王瑾瑾, authorsList=李鑫, 马倩倩, 左铭钰, 符竣轲, 张涵, 闫国立, 刘德臣, 王瑾瑾, authorCompany=null, correspAuthors=王瑾瑾, authorNote=
李鑫（2000—），男，硕士在读，研究方向：中医药防治慢性代谢性疾病的机制研究
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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=G7Lo5lrYBuEcC/avWkJykg==, magXml=47fxtk0ILKSKIRsjGo24mA==, pdfUrl=null, pdf=1UaAllaz42nLIJKxhJk61w==, pdfFileSize=1005435, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=BM6S6reH8HpQDz5MXDLVzw==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=eITLi3JXh6GLiI6IfL+Fng==, mapNumber=null, fund=null)}, authors=[Author(id=1324050817409491470, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, 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=1324050817522737680, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, authorId=1324050817409491470, language=EN, stringName=Xin LI, firstName=Xin, middleName=null, lastName=LI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=College of Traditional Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou, Henan 450000, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1324050817791173137, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, authorId=1324050817409491470, language=CN, stringName=李鑫, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=河南中医药大学，河南 郑州 450000, bio={"content":"
李鑫（2000—），男，硕士在读，研究方向：中医药防治慢性代谢性疾病的机制研究
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100(8): 1305-1313., articleTitle=Cystatin C as biomarker for the evaluation of renal outcome in AL amyloidosis, refAbstract=null)], funds=[Fund(id=1324050826716652101, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, awardId=242102311282, language=CN, fundingSource=河南省科技攻关项目(242102311282), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1324050816969089546, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, xref=null, ext=[AuthorCompanyExt(id=1324050817296245259, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, companyId=1324050816969089546, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=College of Traditional Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou, Henan 450000, China), AuthorCompanyExt(id=1324050817321411084, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, companyId=1324050816969089546, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=河南中医药大学，河南 郑州 450000)])], figs=[ArticleFig(id=1324050825814876733, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, language=EN, label=Figure 1, caption=
Subgroup analysis of the association between baseline HDL-C/CysC ratio and incident CKD risk, figureFileSmall=ht5vT97ifGiy7XStof5YOw==, figureFileBig=BM6S6reH8HpQDz5MXDLVzw==, tableContent=null), ArticleFig(id=1324050825923928638, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, language=CN, label=图1, caption=
基线HDL-C/CysC比值对CKD发病风险的亚组分析, figureFileSmall=ht5vT97ifGiy7XStof5YOw==, figureFileBig=BM6S6reH8HpQDz5MXDLVzw==, tableContent=null), ArticleFig(id=1324050826154615359, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, language=EN, label=Table 1, caption=
Baseline characteristics of the study participants stratified by baseline HDL-C/CysC ratio ［M（P25，P75），n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | HDL-C/CysC 比值四分位分组 | χ2值 | P值 |
|---|
| Q1 (n=1 608) | Q2 (n=1 606) | Q3 (n=1 610) | Q4 (n=1 605) |
|---|
| 年龄（岁） | 62.00 (55.00，70.00) | 59.00 (53.00，67.00) | 58.00 (52.00，65.00) | 56.00 (49.00，63.00) | 253.156 | <0.001 |
| 性别 | | | | | 193.74 | <0.001 |
| 男性 | 956 (59.45) | 769 (47.88) | 642 (39.88) | 597 (37.20) | | |
| 女性 | 652 (40.55) | 837 (52.12) | 968 (60.12) | 1 008 (62.80) | | |
| 教育水平 | | | | | 1.368 | 0.713 |
| 初中及以下 | 1 450 (90.17) | 1 457 (90.72) | 1 471 (91.37) | 1 457 (90.78) | | |
| 高中及以上 | 158 (9.83) | 149 (9.28) | 139 (8.63) | 148 (9.22) | | |
| 已婚/同居 | 1 302 (80.97) | 1 363 (84.87) | 1 338 (83.11) | 1 317 (82.06) | 9.306 | 0.025 |
| 城镇居民 | 641 (39.86) | 569 (35.43) | 528 (32.80) | 499 (31.09) | 31.037 | <0.001 |
| 饮酒 | 262 (16.29) | 313 (19.49) | 294 (18.26) | 373 (23.24) | 30.164 | <0.001 |
| 吸烟 | 586 (36.44) | 502 (31.26) | 427 (26.52) | 422 (26.29) | 54.680 | <0.001 |
| 收缩压（mm Hg） | 130.50 (116.50，145.50) | 128.00 (115.00，142.50) | 126.50 (113.50，140.88) | 122.50 (110.50，136.50) | 108.116 | <0.001 |
| 舒张压（mm Hg） | 75.00 (67.00，83.50) | 75.00 (67.50，83.50) | 74.00 (66.00，83.00) | 73.00 (65.00，81.00) | 34.944 | <0.001 |
| 总胆固醇（mg/dl） | 178.61 (153.87，204.12) | 189.05 (165.85，213.40) | 193.69 (170.88，219.20) | 200.65 (178.61，225.00) | 313.755 | <0.001 |
| 甘油三酯（mg/dl） | 134.52 (95.58，198.24) | 112.39 (81.42，161.96) | 100.00 (74.34，137.40) | 82.31 (61.06，113.28) | 717.040 | <0.001 |
| HDL-C（mg/dl） | 37.11 (31.70，42.53) | 46.01 (40.98，51.80) | 53.35 (47.55，59.92) | 65.34 (57.99，75.00) | 3 613.087 | <0.001 |
| CRP（mg/dl） | 1.47 (0.79，3.16) | 1.12 (0.62，2.27) | 0.90 (0.52，1.85) | 0.70 (0.42，1.46) | 419.410 | <0.001 |
| 血尿酸（mg/dl） | 4.77 (4.01，5.60) | 4.36 (3.67，5.18) | 4.10 (3.43，4.88) | 3.92 (3.27，4.69) | 434.785 | <0.001 |
| CysC（mg/L） | 1.13 (1.00，1.28) | 1.01 (0.90，1.12) | 0.94 (0.84，1.05) | 0.86 (0.77，0.95) | 1 671.915 | <0.001 |
| BMI（kg/m2） | 23.88 (21.33，26.79) | 23.45 (21.09，26.27) | 22.96 (20.73，25.34) | 22.14 (20.20，24.42) | 185.879 | <0.001 |
| 血尿素氮（mg/L） | 15.35 (12.93，18.54) | 15.15 (12.72，18.00) | 14.93 (12.44，17.79) | 15.01 (12.24，17.84) | 16.351 | <0.001 |
| 血肌酐（mg/L） | 0.82 (0.71，0.96) | 0.77 (0.67，0.88) | 0.72 (0.63，0.84) | 0.69 (0.61，0.79) | 563.305 | <0.001 |
| HbA1c（%） | 5.10 (4.90，5.50) | 5.20 (4.90，5.40) | 5.10 (4.90，5.40) | 5.10 (4.90，5.40) | 9.592 | 0.022 |
| eGFR［60 ml/（min·1.73 m2）］ | 87.66 (77.25，97.41) | 93.00 (83.46，101.04) | 95.94 (87.85，102.59) | 99.02 (91.65，105.47) | 571.965 | <0.001 |
), ArticleFig(id=1324050826238501440, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, language=CN, label=表1, caption=
根据基线HDL-C/CysC比值分组研究对象的基线特征［M（P25，P75），n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | HDL-C/CysC 比值四分位分组 | χ2值 | P值 |
|---|
| Q1 (n=1 608) | Q2 (n=1 606) | Q3 (n=1 610) | Q4 (n=1 605) |
|---|
| 年龄（岁） | 62.00 (55.00，70.00) | 59.00 (53.00，67.00) | 58.00 (52.00，65.00) | 56.00 (49.00，63.00) | 253.156 | <0.001 |
| 性别 | | | | | 193.74 | <0.001 |
| 男性 | 956 (59.45) | 769 (47.88) | 642 (39.88) | 597 (37.20) | | |
| 女性 | 652 (40.55) | 837 (52.12) | 968 (60.12) | 1 008 (62.80) | | |
| 教育水平 | | | | | 1.368 | 0.713 |
| 初中及以下 | 1 450 (90.17) | 1 457 (90.72) | 1 471 (91.37) | 1 457 (90.78) | | |
| 高中及以上 | 158 (9.83) | 149 (9.28) | 139 (8.63) | 148 (9.22) | | |
| 已婚/同居 | 1 302 (80.97) | 1 363 (84.87) | 1 338 (83.11) | 1 317 (82.06) | 9.306 | 0.025 |
| 城镇居民 | 641 (39.86) | 569 (35.43) | 528 (32.80) | 499 (31.09) | 31.037 | <0.001 |
| 饮酒 | 262 (16.29) | 313 (19.49) | 294 (18.26) | 373 (23.24) | 30.164 | <0.001 |
| 吸烟 | 586 (36.44) | 502 (31.26) | 427 (26.52) | 422 (26.29) | 54.680 | <0.001 |
| 收缩压（mm Hg） | 130.50 (116.50，145.50) | 128.00 (115.00，142.50) | 126.50 (113.50，140.88) | 122.50 (110.50，136.50) | 108.116 | <0.001 |
| 舒张压（mm Hg） | 75.00 (67.00，83.50) | 75.00 (67.50，83.50) | 74.00 (66.00，83.00) | 73.00 (65.00，81.00) | 34.944 | <0.001 |
| 总胆固醇（mg/dl） | 178.61 (153.87，204.12) | 189.05 (165.85，213.40) | 193.69 (170.88，219.20) | 200.65 (178.61，225.00) | 313.755 | <0.001 |
| 甘油三酯（mg/dl） | 134.52 (95.58，198.24) | 112.39 (81.42，161.96) | 100.00 (74.34，137.40) | 82.31 (61.06，113.28) | 717.040 | <0.001 |
| HDL-C（mg/dl） | 37.11 (31.70，42.53) | 46.01 (40.98，51.80) | 53.35 (47.55，59.92) | 65.34 (57.99，75.00) | 3 613.087 | <0.001 |
| CRP（mg/dl） | 1.47 (0.79，3.16) | 1.12 (0.62，2.27) | 0.90 (0.52，1.85) | 0.70 (0.42，1.46) | 419.410 | <0.001 |
| 血尿酸（mg/dl） | 4.77 (4.01，5.60) | 4.36 (3.67，5.18) | 4.10 (3.43，4.88) | 3.92 (3.27，4.69) | 434.785 | <0.001 |
| CysC（mg/L） | 1.13 (1.00，1.28) | 1.01 (0.90，1.12) | 0.94 (0.84，1.05) | 0.86 (0.77，0.95) | 1 671.915 | <0.001 |
| BMI（kg/m2） | 23.88 (21.33，26.79) | 23.45 (21.09，26.27) | 22.96 (20.73，25.34) | 22.14 (20.20，24.42) | 185.879 | <0.001 |
| 血尿素氮（mg/L） | 15.35 (12.93，18.54) | 15.15 (12.72，18.00) | 14.93 (12.44，17.79) | 15.01 (12.24，17.84) | 16.351 | <0.001 |
| 血肌酐（mg/L） | 0.82 (0.71，0.96) | 0.77 (0.67，0.88) | 0.72 (0.63，0.84) | 0.69 (0.61，0.79) | 563.305 | <0.001 |
| HbA1c（%） | 5.10 (4.90，5.50) | 5.20 (4.90，5.40) | 5.10 (4.90，5.40) | 5.10 (4.90，5.40) | 9.592 | 0.022 |
| eGFR［60 ml/（min·1.73 m2）］ | 87.66 (77.25，97.41) | 93.00 (83.46，101.04) | 95.94 (87.85，102.59) | 99.02 (91.65，105.47) | 571.965 | <0.001 |
), ArticleFig(id=1324050826330776129, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, language=EN, label=Table 2, caption=
Impact of baseline HDL-C/CysC ratio on the risk of incident CKD
, figureFileSmall=null, figureFileBig=null, tableContent=
| HDL-C/CysC比值 | 总人数 | 病例数 | 发病密度
（每千人年） | HR (95% CI) |
|---|
| 模型一 | 模型二 | 模型三 |
|---|
| Q1组 | 1 608 | 285 | 24.30 | 1.00 | 1.00 | 1.00 |
| Q2组 | 1 606 | 277 | 22.47 | 0.76 (0.64～0.90) | 0.83 (0.70～0.98) | 0.81 (0.68～0.97) |
| Q3组 | 1 610 | 223 | 17.88 | 0.42 (0.35～0.51) | 0.53 (0.43～0.64) | 0.50 (0.41～0.61) |
| Q4组 | 1 605 | 222 | 17.50 | 0.04 (0.03～0.06) | 0.19 (0.15～0.26) | 0.22 (0.16～0.29) |
| 趋势检验 (P值) | | | | <0.001 | <0.001 | <0.001 |
| 每增加1个标准差 | | | | 0.22 (0.20～0.25) | 0.41 (0.37～0.47) | 0.45 (0.40～0.51) |
), ArticleFig(id=1324050826410467906, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, language=CN, label=表2, caption=
基线HDL-C/CysC比值对CKD发病风险的影响
, figureFileSmall=null, figureFileBig=null, tableContent=
| HDL-C/CysC比值 | 总人数 | 病例数 | 发病密度
（每千人年） | HR (95% CI) |
|---|
| 模型一 | 模型二 | 模型三 |
|---|
| Q1组 | 1 608 | 285 | 24.30 | 1.00 | 1.00 | 1.00 |
| Q2组 | 1 606 | 277 | 22.47 | 0.76 (0.64～0.90) | 0.83 (0.70～0.98) | 0.81 (0.68～0.97) |
| Q3组 | 1 610 | 223 | 17.88 | 0.42 (0.35～0.51) | 0.53 (0.43～0.64) | 0.50 (0.41～0.61) |
| Q4组 | 1 605 | 222 | 17.50 | 0.04 (0.03～0.06) | 0.19 (0.15～0.26) | 0.22 (0.16～0.29) |
| 趋势检验 (P值) | | | | <0.001 | <0.001 | <0.001 |
| 每增加1个标准差 | | | | 0.22 (0.20～0.25) | 0.41 (0.37～0.47) | 0.45 (0.40～0.51) |
), ArticleFig(id=1324050826477576771, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, language=EN, label=Table 3, caption=
Impact of baseline HDL-C/CysC ratio on the risk of incident CKD
, figureFileSmall=null, figureFileBig=null, tableContent=
| 模型 | HDL-C/CysC 比值四分位分组 | 趋势性
P值 |
|---|
| Q1组 | Q2组 | Q3组 | Q4组 |
|---|
| 排除基线时患有糖尿病的研究对象 (n=5 492) | | | | | |
| 模型一 | 1.00 | 0.73 (0.61～0.88) | 0.43 (0.36～0.53) | 0.05 (0.03～0.06) | <0.001 |
| 模型二 | 1.00 | 0.82 (0.68～0.99) | 0.55 (0.45～0.68) | 0.18 (0.13～0.25) | <0.001 |
| 模型三 | 1.00 | 0.81 (0.67～0.99) | 0.56 (0.45～0.69) | 0.26 (0.19～0.36) | <0.001 |
| 排除基线时患有肝脏疾病、消化系统疾病的研究对象 (n=4 554) | | | | | |
| 模型一 | 1.00 | 0.70 (0.57～0.86) | 0.41 (0.33～0.51) | 0.04 (0.03～0.07) | <0.001 |
| 模型二 | 1.00 | 0.75 (0.61～0.93) | 0.47 (0.37～0.60) | 0.23 (0.16～0.32) | <0.001 |
| 模型三 | 1.00 | 0.75 (0.60～0.94) | 0.45 (0.35～0.58) | 0.22 (0.15～0.31) | <0.001 |
| 排除基线时患有记忆系统疾病、精神类疾病的研究对象 (n=6 208) | | | | | |
| 模型一 | 1.00 | 0.77 (0.65～0.91) | 0.41 (0.34～0.50) | 0.05 (0.03～0.06) | <0.001 |
| 模型二 | 1.00 | 0.84 (0.71～1.00) | 0.52 (0.43～0.63) | 0.20 (0.15～0.27) | <0.001 |
| 模型三 | 1.00 | 0.83 (0.69～1.00) | 0.40 (0.40～0.61) | 0.23 (0.17～0.31) | <0.001 |
), ArticleFig(id=1324050826569851460, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050812984500741, language=CN, label=表3, caption=
基线HDL-C/CysC比值对CKD发病风险的影响
, figureFileSmall=null, figureFileBig=null, tableContent=
| 模型 | HDL-C/CysC 比值四分位分组 | 趋势性
P值 |
|---|
| Q1组 | Q2组 | Q3组 | Q4组 |
|---|
| 排除基线时患有糖尿病的研究对象 (n=5 492) | | | | | |
| 模型一 | 1.00 | 0.73 (0.61～0.88) | 0.43 (0.36～0.53) | 0.05 (0.03～0.06) | <0.001 |
| 模型二 | 1.00 | 0.82 (0.68～0.99) | 0.55 (0.45～0.68) | 0.18 (0.13～0.25) | <0.001 |
| 模型三 | 1.00 | 0.81 (0.67～0.99) | 0.56 (0.45～0.69) | 0.26 (0.19～0.36) | <0.001 |
| 排除基线时患有肝脏疾病、消化系统疾病的研究对象 (n=4 554) | | | | | |
| 模型一 | 1.00 | 0.70 (0.57～0.86) | 0.41 (0.33～0.51) | 0.04 (0.03～0.07) | <0.001 |
| 模型二 | 1.00 | 0.75 (0.61～0.93) | 0.47 (0.37～0.60) | 0.23 (0.16～0.32) | <0.001 |
| 模型三 | 1.00 | 0.75 (0.60～0.94) | 0.45 (0.35～0.58) | 0.22 (0.15～0.31) | <0.001 |
| 排除基线时患有记忆系统疾病、精神类疾病的研究对象 (n=6 208) | | | | | |
| 模型一 | 1.00 | 0.77 (0.65～0.91) | 0.41 (0.34～0.50) | 0.05 (0.03～0.06) | <0.001 |
| 模型二 | 1.00 | 0.84 (0.71～1.00) | 0.52 (0.43～0.63) | 0.20 (0.15～0.27) | <0.001 |
| 模型三 | 1.00 | 0.83 (0.69～1.00) | 0.40 (0.40～0.61) | 0.23 (0.17～0.31) | <0.001 |
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