Center for Chronic Disease, School of Medicine, The University of Queensland, Royal Brisbane & Women's Hospital, Herston, Brisbane, Queensland 4029, Australia.
BMC Nephrol. 2013 Aug 16;14:176. doi: 10.1186/1471-2369-14-176.
Albuminuria marks renal disease and cardiovascular risk. It was estimated to contribute 75% of the risk of all-cause natural death in one Aboriginal group. The urine albumin/creatinine ratio (ACR) is commonly used as an index of albuminuria. This study aims to examine the associations between demographic factors, anthropometric index, blood pressure, lipid-protein measurements and other biomarkers and albuminuria in a cross-sectional study in a high-risk Australian Aboriginal population. The models will be evaluated for albuminuria at or above the microalbuminuria threshold, and at or above the "overt albuminuria" threshold with the potential to distinguish associations they have in common and those that differ.
This was a cross-sectional study of 598 adults aged 18-76 years. All participants were grouped into quartiles by age. Logistic regression models were used to explore the correlates of ACR categories.
The significant correlates were systolic blood pressure (SBP), C-reactive protein (CRP), uric acid, diabetes, gamma-glutamyl transferase (GGT) (marginally significant, p=0.054) and serum albumin (negative association) for ACR 17+ (mg/g) for men and 25+ for women. Independent correlates were SBP, uric acid, diabetes, total cholesterol, alanine amino transferase (ALT), Cystatin C and serum albumin (negative association) for overt albuminuria; and SBP, CRP and serum albumin only for microalbuminuria.
This is the most detailed modelling of pathologic albuminuria in this setting to date. The somewhat variable association with risk factors suggests that microalbuminuria and overt albuminuria might reflect different as well as shared phenomena.
白蛋白尿标志着肾脏疾病和心血管风险。据估计,在一个原住民群体中,白蛋白尿导致了所有原因自然死亡风险的 75%。尿白蛋白/肌酐比值(ACR)通常被用作白蛋白尿的指标。本研究旨在检查在一个高危澳大利亚原住民人群中,人口统计学因素、人体测量指数、血压、血脂蛋白测量和其他生物标志物与白蛋白尿之间的关联。这些模型将用于评估白蛋白尿处于微量白蛋白尿阈值及以上水平和“显性白蛋白尿”阈值及以上水平时的关联,以区分它们之间的共同和不同之处。
这是一项横断面研究,共纳入了 598 名年龄在 18-76 岁之间的成年人。所有参与者均按年龄分为四组。使用逻辑回归模型来探讨 ACR 分类的相关因素。
对于男性 ACR 17+(mg/g)和女性 ACR 25+,显著相关因素为收缩压(SBP)、C 反应蛋白(CRP)、尿酸、糖尿病、γ-谷氨酰转移酶(GGT)(边缘显著,p=0.054)和血清白蛋白(负相关)。对于显性白蛋白尿,独立相关因素为 SBP、尿酸、糖尿病、总胆固醇、丙氨酸氨基转移酶(ALT)、胱抑素 C 和血清白蛋白(负相关);对于微量白蛋白尿,仅 SBP、CRP 和血清白蛋白与相关。
这是迄今为止在该环境中对病理性白蛋白尿进行的最详细建模。与危险因素的关联有些不同,这表明微量白蛋白尿和显性白蛋白尿可能反映了不同的和共同的现象。