Danielle Jeddah, Nicholas B Bevins, Matan Ronen, Ron Zohar, Navdeep Tangri
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Albuminuria was classified according to KDIGO guidelines: A1 (uACR <30 mg/g, \"normal to mildly increased\"), A2 (uACR 30-300 mg/g, \"moderately increased\"), and A3 (uACR >300 mg/g, \"severely increased\"). Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of MKT were calculated against the laboratory standard.</p><p><strong>Results: </strong>Out of 615 collected urine samples, 555 met inclusion criteria. Albuminuria (uACR >30 mg/g) was detected in 24.9% of samples using the laboratory method (95% CI: 21.3%-28.5%). The MKT demonstrated a sensitivity of 96.4%, specificity of 84.2%, NPV of 98.6%, and PPV of 66.8%. MKT accurately categorized 85.6% of samples into the KDIGO albuminuria categories A1, A2, and A3, identifying 100% of laboratory-confirmed A3 samples as abnormal.</p><p><strong>Conclusions: </strong>The MKT shows high sensitivity, exceeding the guideline-required threshold (>85%, P < 0.001), and acceptable specificity for detecting albuminuria in high-risk populations. This device offers the potential to improve CKD detection and management and facilitate early intervention in primary care and community settings, where accurate rule-out capabilities are essential.</p>","PeriodicalId":46361,"journal":{"name":"Journal of Applied Laboratory Medicine","volume":" ","pages":"1241-1253"},"PeriodicalIF":1.9000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diagnostic Accuracy of Smartphone-Enabled Urinary Albumin-to-Creatinine Ratio Testing.\",\"authors\":\"Danielle Jeddah, Nicholas B Bevins, Matan Ronen, Ron Zohar, Navdeep Tangri\",\"doi\":\"10.1093/jalm/jfaf087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Albuminuria is an important biomarker for detecting chronic kidney disease (CKD), particularly in at-risk individuals. Advances in diagnostic technology have introduced home-use, semiquantitative testing methods such as the FDA-cleared Minuteful Kidney Test (MKT). This study compares the diagnostic accuracy of the MKT to the Beckman Coulter AU 480 analyzer, a standard laboratory quantitative method, for detecting albuminuria in individuals with or at risk for CKD.</p><p><strong>Methods: </strong>Urine samples were obtained from individuals with risk factors for kidney damage. Each sample was analyzed for the urinary albumin-to-creatinine ratio (uACR) using both the MKT and the laboratory standard method. Albuminuria was classified according to KDIGO guidelines: A1 (uACR <30 mg/g, \\\"normal to mildly increased\\\"), A2 (uACR 30-300 mg/g, \\\"moderately increased\\\"), and A3 (uACR >300 mg/g, \\\"severely increased\\\"). Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of MKT were calculated against the laboratory standard.</p><p><strong>Results: </strong>Out of 615 collected urine samples, 555 met inclusion criteria. Albuminuria (uACR >30 mg/g) was detected in 24.9% of samples using the laboratory method (95% CI: 21.3%-28.5%). The MKT demonstrated a sensitivity of 96.4%, specificity of 84.2%, NPV of 98.6%, and PPV of 66.8%. MKT accurately categorized 85.6% of samples into the KDIGO albuminuria categories A1, A2, and A3, identifying 100% of laboratory-confirmed A3 samples as abnormal.</p><p><strong>Conclusions: </strong>The MKT shows high sensitivity, exceeding the guideline-required threshold (>85%, P < 0.001), and acceptable specificity for detecting albuminuria in high-risk populations. 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引用次数: 0
摘要
背景:蛋白尿是检测慢性肾脏疾病(CKD)的重要生物标志物,特别是在高危人群中。诊断技术的进步引入了家庭使用的半定量检测方法,如fda批准的微量肾脏试验(MKT)。本研究比较了MKT与Beckman Coulter AU 480分析仪的诊断准确性,后者是一种标准的实验室定量方法,用于检测患有或有CKD风险的个体的蛋白尿。方法:对有肾损害危险因素的个体进行尿样采集。使用MKT和实验室标准方法分析每个样本的尿白蛋白与肌酐比率(uACR)。蛋白尿根据KDIGO指南分类:A1 (uACR 300 mg/g,“严重升高”)。根据实验室标准计算MKT的敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)。结果:615份尿样中,555份符合纳入标准。在24.9%的样本中检测到蛋白尿(uACR为30 mg/g) (95% CI: 21.3% ~ 28.5%)。MKT的敏感性为96.4%,特异性为84.2%,NPV为98.6%,PPV为66.8%。MKT准确地将85.6%的样本分类为KDIGO蛋白尿A1、A2和A3类,100%的实验室确诊A3类样本为异常。结论:MKT具有高灵敏度,超过了指南要求的阈值(bb0.85%, P < 0.001),在高危人群中检测蛋白尿具有可接受的特异性。该设备有可能改善CKD的检测和管理,并促进初级保健和社区环境的早期干预,在这些环境中,准确的排除能力是必不可少的。
Diagnostic Accuracy of Smartphone-Enabled Urinary Albumin-to-Creatinine Ratio Testing.
Background: Albuminuria is an important biomarker for detecting chronic kidney disease (CKD), particularly in at-risk individuals. Advances in diagnostic technology have introduced home-use, semiquantitative testing methods such as the FDA-cleared Minuteful Kidney Test (MKT). This study compares the diagnostic accuracy of the MKT to the Beckman Coulter AU 480 analyzer, a standard laboratory quantitative method, for detecting albuminuria in individuals with or at risk for CKD.
Methods: Urine samples were obtained from individuals with risk factors for kidney damage. Each sample was analyzed for the urinary albumin-to-creatinine ratio (uACR) using both the MKT and the laboratory standard method. Albuminuria was classified according to KDIGO guidelines: A1 (uACR <30 mg/g, "normal to mildly increased"), A2 (uACR 30-300 mg/g, "moderately increased"), and A3 (uACR >300 mg/g, "severely increased"). Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of MKT were calculated against the laboratory standard.
Results: Out of 615 collected urine samples, 555 met inclusion criteria. Albuminuria (uACR >30 mg/g) was detected in 24.9% of samples using the laboratory method (95% CI: 21.3%-28.5%). The MKT demonstrated a sensitivity of 96.4%, specificity of 84.2%, NPV of 98.6%, and PPV of 66.8%. MKT accurately categorized 85.6% of samples into the KDIGO albuminuria categories A1, A2, and A3, identifying 100% of laboratory-confirmed A3 samples as abnormal.
Conclusions: The MKT shows high sensitivity, exceeding the guideline-required threshold (>85%, P < 0.001), and acceptable specificity for detecting albuminuria in high-risk populations. This device offers the potential to improve CKD detection and management and facilitate early intervention in primary care and community settings, where accurate rule-out capabilities are essential.