Freitas Priscila Aparecida Correa, da Silva Yasmini Dandara Silva, Poloni José Antonio Tesser, Veronese Francisco José Veríssimo, Gonçalves Luiz Felipe Santos
Hospital de Clínicas de Porto Alegre, Porto Alegre 90035903, Brazil.
Universidade Federal do Rio Grande do Sul, Porto Alegre 90035003, Brazil.
J Clin Med. 2025 Jun 26;14(13):4522. doi: 10.3390/jcm14134522.
Automation improves efficiency in laboratory workflow but may fail to detect clinically relevant abnormalities in patients with nephropathy. This study aimed to identify dipstick parameters associated with nephropathy-related sediment findings and to propose practical criteria to guide manual microscopy review based on these associations. Urine samples from in- and outpatients, primarily from the nephrology unit, were collected at a university hospital from July 2022 to September 2023. Samples were analyzed within two hours using LabUMat 2 and UriSed 3 analyzers. Manual microscopy was performed on all specimens by two experienced technicians. Sediments were classified as suggestive or not of nephropathy based on hematuria with dysmorphism, hyaline and pathological casts, lipiduria, or renal tubular epithelial cells. Of 503 samples, 146 (29%) showed sediment findings indicative of nephropathy, which were significantly associated with dipstick positivity for protein and blood. Among nephropathy samples, 71.2% had protein ≥1+ or blood ≥2+. Using this combination as a criterion for manual sediment review yielded a sensitivity of 71.2%, a specificity of 73.9%, and a 3.84-fold increased relative risk of detecting nephropathy-related elements ( < 0.001). The criteria performed best among nephrology outpatients, with sensitivity of 79.5%, specificity of 63.9%, and relative risk of 3.91 ( < 0.001). Dipstick protein ≥1+ or blood ≥2+ helps identify patients who may benefit from manual sediment review, supporting diagnostic accuracy in nephropathy. Each institution should define its criteria based on patient profile, analytical methods, and workflow.
自动化提高了实验室工作流程的效率,但可能无法检测出肾病患者临床上相关的异常情况。本研究旨在确定与肾病相关沉渣结果相关的试条参数,并根据这些关联提出实用标准以指导人工显微镜检查。2022年7月至2023年9月期间,在一所大学医院收集了主要来自肾病科的门诊和住院患者的尿液样本。使用LabUMat 2和UriSed 3分析仪在两小时内对样本进行分析。由两名经验丰富的技术人员对所有标本进行人工显微镜检查。根据血尿伴异形红细胞、透明管型和病理性管型、脂尿或肾小管上皮细胞,将沉渣分类为提示或不提示肾病。在503份样本中,146份(29%)显示沉渣结果提示肾病,这与试条检测蛋白和血液阳性显著相关。在肾病样本中,71.2%的样本蛋白≥1+或血液≥2+。将此组合作为人工沉渣检查的标准,敏感性为71.2%,特异性为73.9%,检测肾病相关成分的相对风险增加3.84倍(<0.001)。该标准在肾病门诊患者中表现最佳,敏感性为79.5%,特异性为63.9%,相对风险为3.91(<0.001)。试条检测蛋白≥1+或血液≥2+有助于识别可能从人工沉渣检查中获益的患者,支持肾病诊断的准确性。每个机构应根据患者情况、分析方法和工作流程确定自己的标准。