The development of autoverification system of lymphocyte subset assays on the flow cytometry platform

淋巴细胞 流式细胞术 淋巴细胞亚群 免疫学 T淋巴细胞 细胞仪 人类免疫缺陷病毒(HIV) 免疫系统 医学 生物 T细胞
作者
Jue Shi,Runqing Mu,Pan Wang,Wenqing Geng,Yongjun Jiang,Min Zhao,Hong Shang,Zining Zhang
出处
期刊:Clinical Chemistry and Laboratory Medicine [De Gruyter]
卷期号:60 (1): 92-100 被引量:2
标识
DOI:10.1515/cclm-2021-0736
摘要

Abstract Objectives Peripheral blood lymphocyte subsets are important parameters for monitoring immune status; however, lymphocyte subset detection is time-consuming and error-prone. This study aimed to explore a highly efficient and clinically useful autoverification system for lymphocyte subset assays performed on the flow cytometry platform. Methods A total of 94,402 lymphocyte subset test results were collected. To establish the limited-range rules, 80,427 results were first used (69,135 T lymphocyte subset tests and 11,292 NK, B, T lymphocyte tests), of which 15,000 T lymphocyte subset tests from human immunodeficiency virus (HIV) infected patients were used to set customized limited-range rules for HIV infected patients. Subsequently, 13,975 results were used for historical data validation and online test validation. Results Three key autoverification rules were established, including limited-range, delta-check, and logical rules. Guidelines for addressing the issues that trigger these rules were summarized. The historical data during the validation phase showed that the total autoverification passing rate of lymphocyte subset assays was 69.65% (6,941/9,966), with a 67.93% (5,268/7,755) passing rate for T lymphocyte subset tests and 75.67% (1,673/2,211) for NK, B, T lymphocyte tests. For online test validation, the total autoverification passing rate was 75.26% (3,017/4,009), with 73.23% (2,191/2,992) for the T lymphocyte subset test and 81.22% (826/1,017) for the NK, B, T lymphocyte test. The turnaround time (TAT) was reduced from 228 to 167 min using the autoverification system. Conclusions The autoverification system based on the laboratory information system for lymphocyte subset assays reduced TAT and the number of error reports and helped in the identification of abnormal cell populations that may offer clues for clinical interventions.
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