Department of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Ann Lab Med. 2019 May;39(3):271-277. doi: 10.3343/alm.2019.39.3.271.
Dysmorphic red blood cells (dRBCs) are first-line biomarkers for detecting glomerulonephritis (GN) in patients with hematuria. The UF-1000i system (Sysmex, Kobe, Japan), based on flow cytometry, provides small red blood cell (RBC) values (UF-1000i [UF]-%sRBCs). We evaluated the clinical application of UF-%sRBCs for detecting %dRBCs and GN.
Urine samples of 103 patients (47 with GN; 56 without GN [NGN]) were analyzed using UF-1000i urinalysis, phase-contrast microscopy (PCM), and urine chemistry. Serum creatinine (mg/dL), serum albumin (g/dL), serum protein (mg/dL), urine protein (mg/dL), and urea nitrogen (mg/dL) levels were measured using an automated chemical analyzer. To determine the cut-off level of predicting GN, ROC curve was analyzed.
UF-%sRBCs, %dRBCs, urine protein, serum creatinine, and estimated-glomerular filtration rate differed between the GN and NGN groups, with the greatest differences detected for UF-%sRBCs and %dRBCs (<0.0001). In ROC curve analysis, urine protein had the highest area under the curve (0.828), followed by %dRBCs (0.771) and UF-%sRBCs (0.745). To screen for GN, the best cut-off values of UF-%sRBCs and %dRBCs were >40.5% and >6.7%, respectively. %dRBCs (=0.0001) and UF-%sRBCs (=0.0006) differed between the GN and NGN groups in patients with isolated hematuria but without proteinuria.
UF-%sRBCs had similar diagnostic power to %dRBCs determined by PCM for identifying patients with GN. UF-%sRBCs may be more useful for diagnosing GN in patients with isolated hematuria. Predicting %dRBCs using UF-1000i will provide information on possible GN in patients presenting with asymptomatic hematuria.
形态异常的红细胞(dRBC)是血尿患者检测肾小球肾炎(GN)的一线生物标志物。UF-1000i 系统(Sysmex,神户,日本)基于流式细胞术,提供小红细胞(RBC)值(UF-1000i[UF]-%sRBCs)。我们评估了 UF-%sRBC 检测%dRBC 和 GN 的临床应用。
对 103 例患者(47 例 GN;56 例非 GN[NGN])的尿液样本进行 UF-1000i 尿液分析、相差显微镜(PCM)和尿液化学分析。使用自动化学分析仪测量血清肌酐(mg/dL)、血清白蛋白(g/dL)、血清蛋白(mg/dL)、尿液蛋白(mg/dL)和尿素氮(mg/dL)水平。为了确定预测 GN 的截止水平,进行了 ROC 曲线分析。
GN 和 NGN 组之间 UF-%sRBCs、%dRBCs、尿液蛋白、血清肌酐和估计肾小球滤过率存在差异,UF-%sRBCs 和%dRBCs 差异最大(<0.0001)。在 ROC 曲线分析中,尿液蛋白的曲线下面积最高(0.828),其次是%dRBCs(0.771)和 UF-%sRBCs(0.745)。为了筛查 GN,UF-%sRBCs 和%dRBCs 的最佳截止值分别为>40.5%和>6.7%。在无蛋白尿的孤立性血尿患者中,GN 和 NGN 组之间的%dRBCs(=0.0001)和 UF-%sRBCs(=0.0006)存在差异。
UF-%sRBCs 与 PCM 确定的%dRBCs 具有相似的诊断能力,可用于识别 GN 患者。UF-%sRBCs 可能更有助于诊断孤立性血尿患者的 GN。使用 UF-1000i 预测%dRBCs 将为无症状血尿患者提供可能的 GN 信息。