Original Article
Establishment and validation of auto verification criteria for urine analysis workstation in a multi-center study
Liu Xuekai, Chen Weibin, Li Xiaolong, Song Jinlong, Guo Huifang, Feng Jing, Liu Qinqing, Xu Fei, Wang Weixin, Liu Feng, Geng Qingmao, Li Xiaoli, Du Yuxiao, Liang Guowei
Published 2020-12-11
Cite as Chin J Lab Med, 2020, 43(12): 1225-1231. DOI: 10.3760/cma.j.cn114452-20200427-00433
Abstract
ObjectiveTo establish and validate auto verification criteria for Beckman Coulter iRECELL workstation, and improve the test efficiency under the promise of ensuring the reliability of the results.
MethodA total of 5 359 urine specimens were collected from the clinical laboratory of five hospitals, namely, the Aerospace Center Hospital of Peking University, the Sixth People′s Hospital Affiliated to Shanghai Jiaotong University, the First Affiliated Hospital of Guangzhou Medical University, the First Affiliated Hospital of Wenzhou Medical University and the Shanxi Provincial People′s Hospital from September 2019 to April 2020. 355 specimens from healthy population were in the reference intervals group, 3 449 specimens were in the criteria establishment group, and 1 555 specimens were in the criteria verification group. Taking the microscopic examination results as the gold standard, the Beckman Coulter iRECELL workstation was used to detect the urine samples, and the auto verification criteria of the iRECELL workstation were established.. Each laboratory carried out strict indoor quality control to ensure the accuracy and stability of the results. The reference range of healthy population and the results of auto verification criteria (including true positive rate, true negative rate, false positive rate, false negative rate and auto verification pass rate) were calculated in the criteria establishment stage. The performance indicators of auto verification criteria were calculated, including effective interception rate, invalid interception rate, effective verification rate, invalid verification rate, automatic verification pass rate and auto verification pass accuracy rate in the criteria verification stage.
ResultTaking the microscopic examination results as the gold standard, the auto verification criteria of Beckman Coulter iRECELL workstation were initially established. The auto verification pass rate was 52.51% (1 811/3 449); the microscopic examination rate was 2.58% (89/3 449); and the false negative rate, false positive rate, true negative rates and true positive rates were 2.26% (78/3 449), 11.86% (409/3 449), 47.00% (1 621/3 449) and 38.88% (1 341/3 449) respectively. The validation data were consistent with the criteria establishment data and improved to some extent. Finally, 20 auto verification criteria were set. The effective interception rate, invalid interception rate, effective verification rate, invalid verifacation rate and auto verification pass accuracy rate were 38.52% (599/1 555), 10.35% (161/1 555), 49.07% (763/1 555), 2.06% (32/1 555) and 87.59% (1 362/1 555) respectively.
ConclusionThe auto verification criteria for Beckman Coulter iRECELL workstation can improve the efficiency of urine test, reduce manpower and ensure the reliability of the test results
Key words:
Urinalysis; Auto verification criteria; Criteria validation
Contributor Information
Liu Xuekai
Department of Clinical Laboratory, Aerospace Center Hospital, Beijing 100049, China
Chen Weibin
Department of Clinical Laboratory, Sixth People′s Hospital affiliated to Shanghai Jiao Tong University, Shanghai 200233, China
Li Xiaolong
Laboratory Medicine Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
Song Jinlong
Department of Clinical Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
Guo Huifang
Department of Clinical Laboratory, Shanxi Provincial People′s hospital, Taiyuan 030012, China
Feng Jing
Department of Clinical Laboratory, Aerospace Center Hospital, Beijing 100049, China
Liu Qinqing
Department of Clinical Laboratory, Sixth People′s Hospital affiliated to Shanghai Jiao Tong University, Shanghai 200233, China
Xu Fei
Laboratory Medicine Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
Wang Weixin
Department of Clinical Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
Liu Feng
Department of Clinical Laboratory, Shanxi Provincial People′s hospital, Taiyuan 030012, China
Geng Qingmao
Beckman Coulter Commercial Enterprise (China) Co. LTD., Shanghai 200335, China
Li Xiaoli
Beckman Coulter Commercial Enterprise (China) Co. LTD., Shanghai 200335, China
Du Yuxiao
Beckman Coulter Commercial Enterprise (China) Co. LTD., Shanghai 200335, China
Liang Guowei
Department of Clinical Laboratory, Aerospace Center Hospital, Beijing 100049, China