非典型细胞（Atyp.C）作为自动尿液分析仪测定的一个新参数，可以怀疑是恶性肿瘤细胞。我们评估了 Atyp.C 预测恶性肿瘤细胞存在的程度。 总共招募了 3,315 名患者（训练队列中 1,751 名，测试队列中 1,564 名）并分为五组，即原发性膀胱癌(BCa)、复发性 BCa、BCa 治疗后监测、其他泌尿肿瘤和对照。尿液非典型值。 C、细菌、白细胞和红细胞由 Sysmex UF-5000 分析仪测量。我们比较了不同群体、性别和肿瘤阶段的 Atyp.C 值。使用受试者工作特征 (ROC) 曲线分析评估单独使用 Atyp.C 以及与其他参数结合检测 BCa 的诊断性能。原发性 BCa 组的 Atyp.C 值显着高于其他组，除了复发BCa组。 Atyp.C值与肿瘤分期密切相关。 Atyp.C联合细菌对原发性BCa的诊断性能最高[训练队列AUC：0.781（95% CI：0.761-0.801）；测试队列 AUC：0.826（95% CI：0.806-0.845）]。训练队列中通过 Atyp.C 加细菌诊断的复发性 BCa 的 AUC 值为 0.784（95% CI：0.762-0.804）。Atyp.C 在原发性 BCa 患者中较高，细菌和 Atyp.C 的组合显示出高预测性原发性 BCa 的值，表明 Atyp.C 可能是早期检测 BCa 的有用客观指标。© 2024 Walter de Gruyter GmbH，柏林/波士顿。

Atypical cells (Atyp.C), as a new parameter determined by an automated urine analyzer, can be suspected of being malignant tumor cells. We evaluated the extent to which the Atyp.C can predict the existence of malignant tumor cells.A total of 3,315 patients (1,751 in the training cohort and 1,564 in the testing cohort) were recruited and divided into five groups, namely, primary bladder cancer (BCa), recurrent BCa, post-treatment monitoring of BCa, other urological tumors, and controls. Urine Atyp. C, bacteria, white blood cell, and red blood cell were measured by a Sysmex UF-5000 analyzer. We compared the Atyp.C values across the different groups, sexes, and tumor stages. The diagnostic performance of Atyp.C alone and in combination with other parameters for detecting BCa was evaluated using receiver operating characteristic (ROC) curve analysis.The Atyp.C value of the primary BCa group was significantly higher than that in the other groups, except recurrent BCa group. The Atyp.C value was closely related to tumor staging. Atyp.C combined with bacteria had the highest diagnostic performance for primary BCa [training cohort AUC: 0.781 (95 % CI: 0.761-0.801); testing cohort AUC: 0.826 (95 % CI: 0.806-0.845)]. The AUC value of diagnosed recurrent BCa by Atyp.C plus bacteria for the training cohort was 0.784 (95 % CI: 0.762-0.804).Atyp.C was high in primary BCa patients and the combination of bacteria and Atyp.C showed high predictive value for primary BCa, suggesting that Atyp.C may be a useful objective indicator for the early detection of BCa.© 2024 Walter de Gruyter GmbH, Berlin/Boston.