文章摘要
周玮逸,赵旭东,李雷.基于 2013―2014年美国国家健康与营养调查分析尿白蛋白肌酐比值与腹主动脉钙化的相关性[J].安徽医药,2026,30(11):2238-2243.
基于 2013―2014年美国国家健康与营养调查分析尿白蛋白肌酐比值与腹主动脉钙化的相关性
Association of urinary albumin-to-creatinine ratio and abdominal aortic calcification: NHANES 2013―2014
  
DOI:10.3969/j.issn.1009-6469.2026.11.022
中文关键词: 血管钙化  腹主动脉  尿白蛋白与肌酐比值  美国国家健康与营养调查  相关性  横断面研究
英文关键词: Vascular calcification  Abdominal aorta  Urinary albumin to creatinine ratio  National health and nutrition examina-tion survey  Association  Cross-sectional analysis
基金项目:江苏省老年健康科研项目( LK2021015&LR2021009)
作者单位E-mail
周玮逸 徐州医科大学附属医院全科医学科,江苏徐州 221002
徐州医科大学研究生院,江苏徐州 221004 
 
赵旭东 徐州医科大学附属医院全科医学科,江苏徐州 221002  
李雷 徐州医科大学附属医院全科医学科,江苏徐州 221002 ligruop999@163.com 
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中文摘要:
      目的探讨尿白蛋白与肌酐比值( UACR)与腹主动脉钙化( AAC)之间的相关性。方法利用 2013―2014年美国国家健康与营养调查(NHANES)收集的具有完整 AAC评分记录的横断面数据,包括年龄、种族、性别、教育程度、腰围( WC)空腹血糖(FBG)、高密度脂蛋白胆固醇( HDL-C)、低密度脂蛋白胆固醇( LDL-C)、尿酸(UA)、尿素氮( BUN)、身体质量指数( BMI)、、高血压、糖尿病、总胆固醇(TC)、甘油三酯(TG)等指标。采用加权、多元线性回归、多元逻辑回归分析、亚组分析和平滑曲线拟合等方法分析 UACR与 AAC的相关性。在回归分析中, UACR采用自然对数转换以消除偏度,并改善分布的正态性。结果共纳入 3 112例受试者。所有受试者根据 UACR四分位数分成 4组( Q1~Q4)。构建多组分析模型,在调整了部分变量的模型 3中, UACR与 AAC评分以及严重腹主动脉钙化( SAAC)之间存在正相关[β=0.17,95%CI:(0.07,0.27); OR=1.12,95%CI:(1.00,1.25)]。在 Q4组中, AAC评分高出 0.46个单位[P=0.002,β=0.46,95%CI:(0.13,0.79)]。 60岁以上人群的相关性更强( β=0.23)。结论 UACR与 AAC和 SAAC的发生风险呈正相关,这可能会为在实际医疗中预防和干预 AAC提供新的视角。
英文摘要:
      Objective To investigate the correlation between urinary albumin to creatinine ratio(UACR) and abdominal aortic calcifi-cation(AAC) in the US population.Methods This study utilised cross-sectional data collected from the 2013-2014 NHANES with a complete record of AAC scores,including age,race,sex,education,waist circumference(WC),fasting blood glucose(FBG),high-density lipo-protein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),uric acid(UA),urea nitrogen(BUN),body mass index(BMI),hyper-tension, diabetes mellitus, total cholesterol(TC), and triglycerides(TG). The correlation between UACR and AAC was analyzed usingweighted,multiple linear regression,multiple logistic regression analysis,subgroup analysis,and smooth curve fitting methods.In regres-sion analyses,UACR was transformed using natural logarithm to eliminate skewness and improve the normality of the distribution.Re. sults A total of 3 112 subjects were included. All subjects were divided into 4 groups(Q1-Q4) based on UACR quartiles. We have con-structed multiple analytical models. In model 3 adjusted for some variables,there was a positive association between UACR and AACscore and severe AAC (SAAC)[β=0.17,95%CI:(0.07,0.27);OR=1.12,95%CI:(1.00,1.25)]. In the UACR Q4 group,AAC scores were 0.46 units higher [(P=0.002,β=0.46,95%CI:(0.13,0.79)], the correlation was even stronger in those over 60 years of age(β=0.23).Conclu. sions UACR is positively associated with the risk of developing AAC and SAAC. This may provide new perspectives on how to pre-vent and intervene in AAC in practical healthcare.
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