■尿液检测作为常规筛查程序,异常的测试结果可能对临床医生有提示,但有时可能会被忽视,建立诊断模型可以更好地帮助临床医生识别潜在问题。BLD(血),LEU(白细胞),PRO(蛋白质)和GLU(葡萄糖)是尿液检测中四个最重要的参数,结果的准确性是临床医生的一个关键问题,因此,验证其结果的准确性至关重要。在这项研究中,我们评估了Mindray的自动尿液干化学分析仪的分析和临床性能,UA-5600(以下简称(UA-5600),和配置有仪器的测试条,并根据UA-5600输出的11个参数的结果开发了用于肾脏疾病筛查的机器学习(ML)模型,目的是检测异常的尿液检测结果。
■于2022年8月至9月收集中山大学附属第一医院门诊患者和住院患者的尿样,以评估迈瑞UA-5600干化学分析仪和试纸的性能。对UA-5600及其测试条的评估集中在尿液BLD和LEU读数与通过MindrayEH-2090尿液形成元素分析仪获得的RBC(红细胞)和WBC(白细胞)计数的一致性。我们还将PRO和GLU读数与MindrayBS-2800M生物化学分析仪的结果进行了比较。对门诊和住院患者的尿液样本进行回顾性分析,并根据LIS诊断进行分组。此外,使用UA-5600测量的11个参数,建立了8个用于肾脏疾病筛查的ML模型.并通过验证集对模型进行了验证。
■与EH-2090分析仪相比,UA-5600对BLD的一致率为89.55%,对LEU的一致率为91.04%。以BS-2800M为基准时,PRO和GLU的一致率为94.14%和95.20%,分别。总共使用了1691个样本来构建ML模型,其中346名患者(男性135名,女性211名,年龄范围:18至98岁)诊断患有肾脏疾病,1345名患者(男性397名,女性948名,年龄范围:18至92岁)诊断为其他疾病的非肾脏疾病。值得注意的是,朴素贝叶斯(NB)模型,它是根据UA-5600参数构建的,对肾脏疾病表现出卓越的预测能力,受试者工作特征曲线下面积为0.9470,灵敏度为0.7767,特异性为0.9457。
■迈瑞UA-5600对BLD和LEU均具有强大的检测能力,PRO和GLU的结果与化学分析仪的结果非常吻合。NB模型具有良好的筛选能力,有望成为有效的筛选工具。
UNASSIGNED: Urine testing as a routine screening programme, abnormal test results can be suggestive to clinicians but can sometimes be overlooked, and the establishment of a diagnostic model can better assist clinicians in identifying potential problems. BLD (blood), LEU (leukocyte), PRO (protein) and GLU (glucose) are the four most important parameters in urine testing, and the accuracy of their results is a key concern for clinicians, so it is essential to verify the accuracy of their results. In this study, we evaluated the analytical and clinical performance of Mindray\'s automatic urine dry chemistry analyzer, the UA-5600 (Hereinafter referred to as the (UA-5600), and the test strips configured with the instrument, and developed a machine-learning (ML) model for kidney disease screening from the results of 11 parameters output from the UA-5600 with the aim of detecting abnormal urine test results.
UNASSIGNED: Urine samples from outpatients and inpatients at The First Affiliated Hospital of Sun Yat-sen University were collected from August to September 2022 to evaluate the performance of the Mindray UA-5600 dry chemistry analyzer and test strips. The evaluation of the UA-5600 and its test strips focused on the agreement of the urine BLD and LEU readings with the RBC (red blood cell) and WBC (white blood cell) counts obtained by the Mindray EH-2090 urine formed element analyzer. We also compared the PRO and GLU readings with the results of the Mindray BS-2800M biochemistry analyzer. Urine samples from outpatients and inpatients were retrospectively analysed and grouped according to LIS diagnosis. Additionally, eight ML models for kidney disease screening were developed using 11 parameters measured by the UA-5600. And the model was validated by the validation set.
UNASSIGNED: The UA-5600 had an 89.55% concordance rate for BLD and a 91.04% concordance rate for LEU compared to the EH-2090 analyzer. When benchmarked against the BS-2800M, the concordance rates for PRO and GLU were 94.14% and 95.20%, respectively. A total of 1,691 samples were used for the construction of the ML models, of which 346 patients (135 males and 211 females, age range: 18 to 98 years) diagnosed with renal disease, and 1,345 patients (397 males and 948 females, age range: 18 to 92 years) with non-renal disease diagnosed with other conditions. Notably, the Naïve Bayes (NB) model, which was built from the UA-5600 parameters, demonstrated superior predictive capabilities for renal disease, with an area under the receiver operating characteristic curve of 0.9470, a sensitivity of 0.7767, and a specificity of 0.9457.
UNASSIGNED: The Mindray UA-5600 demonstrates robust detection abilities for both BLD and LEU, and its results for PRO and GLU align closely with those obtained from the chemistry analyzer. The NB model has a good screening ability and shows promise as an effective screening tool.