{"title":"Urine Albumin-creatinine Ratio Accurately Reflects Daily Albuminuria in Nonobese Patients but Requires Body Weight Correction in Obese.","authors":"Liang-Chun Chen, Zih-Kai Kao, Chih-Yu Yang, Der-Cherng Tarng","doi":"10.1053/j.jrn.2025.05.004","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Urine albumin-creatinine ratio (UACR) is widely used to estimate daily albuminuria. Despite efforts to improve the accuracy of the estimated albumin excretion rate, the individual contributions of age, sex, and body weight remain unexplored.</p><p><strong>Methods: </strong>This hospital-based cohort study examined the explanatory power of various factors and compared total R<sup>2</sup> values across different sets of factors to determine the optimal estimated albumin excretion rate model.</p><p><strong>Results: </strong>An analysis of 304 24-hour urine samples revealed a median value of 0.538 g (interquartile range: 0.091-2.080 g), identifying UACR and body weight as significant factors with high partial R<sup>2</sup> values in estimating daily albuminuria. A novel model using only UACR and body weight demonstrated performance comparable to previous models that included additional variables (total R<sup>2</sup> values: ours 0.922 vs. 0.923, P = .893; ours 0.922 vs. 0.925, P = .727), and outperformed the model that excluded body weight (total R<sup>2</sup> values: ours 0.922 vs. 0.855, P < .001). Receiver operating characteristic analysis identified 78.1 kg (body mass index [BMI] of 28.5 kg/m<sup>2</sup>) as the optimal cutoff for predicting underestimation of daily albuminuria by UACR in the heavier half of our patient cohort (area under the curve: 0.865). For individuals with body weight less than 78.1 kg (0th-75.4th percentile), daily albuminuria (g) could be estimated as: 0.033 + 0.999 × UACR (mg/mg) (total R<sup>2</sup>: 0.966). Conversely, for those weighing ≥78.1 kg (75.5th-100th percentile), the estimation formula was as follows: -3.885 + 1.538 × UACR (mg/mg) + 0.045 × body weight (kg) (total R<sup>2</sup>: 0.942).</p><p><strong>Conclusions: </strong>For individuals with a BMI below 28.5 kg/m<sup>2</sup>, the UACR alone provides sufficient accuracy for estimating daily albuminuria (using the formula: daily albuminuria (g) = 0.033 + 0.999 × UACR (mg/mg)). However, for those with a BMI of 28.5 kg/m<sup>2</sup> or higher, adding body weight as a single correction factor to UACR sufficiently improves the explanatory power, simplifying clinical practice by eliminating the need for age and sex as additional factors.</p>","PeriodicalId":50066,"journal":{"name":"Journal of Renal Nutrition","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Renal Nutrition","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1053/j.jrn.2025.05.004","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Urine albumin-creatinine ratio (UACR) is widely used to estimate daily albuminuria. Despite efforts to improve the accuracy of the estimated albumin excretion rate, the individual contributions of age, sex, and body weight remain unexplored.
Methods: This hospital-based cohort study examined the explanatory power of various factors and compared total R2 values across different sets of factors to determine the optimal estimated albumin excretion rate model.
Results: An analysis of 304 24-hour urine samples revealed a median value of 0.538 g (interquartile range: 0.091-2.080 g), identifying UACR and body weight as significant factors with high partial R2 values in estimating daily albuminuria. A novel model using only UACR and body weight demonstrated performance comparable to previous models that included additional variables (total R2 values: ours 0.922 vs. 0.923, P = .893; ours 0.922 vs. 0.925, P = .727), and outperformed the model that excluded body weight (total R2 values: ours 0.922 vs. 0.855, P < .001). Receiver operating characteristic analysis identified 78.1 kg (body mass index [BMI] of 28.5 kg/m2) as the optimal cutoff for predicting underestimation of daily albuminuria by UACR in the heavier half of our patient cohort (area under the curve: 0.865). For individuals with body weight less than 78.1 kg (0th-75.4th percentile), daily albuminuria (g) could be estimated as: 0.033 + 0.999 × UACR (mg/mg) (total R2: 0.966). Conversely, for those weighing ≥78.1 kg (75.5th-100th percentile), the estimation formula was as follows: -3.885 + 1.538 × UACR (mg/mg) + 0.045 × body weight (kg) (total R2: 0.942).
Conclusions: For individuals with a BMI below 28.5 kg/m2, the UACR alone provides sufficient accuracy for estimating daily albuminuria (using the formula: daily albuminuria (g) = 0.033 + 0.999 × UACR (mg/mg)). However, for those with a BMI of 28.5 kg/m2 or higher, adding body weight as a single correction factor to UACR sufficiently improves the explanatory power, simplifying clinical practice by eliminating the need for age and sex as additional factors.
期刊介绍:
The Journal of Renal Nutrition is devoted exclusively to renal nutrition science and renal dietetics. Its content is appropriate for nutritionists, physicians and researchers working in nephrology. Each issue contains a state-of-the-art review, original research, articles on the clinical management and education of patients, a current literature review, and nutritional analysis of food products that have clinical relevance.