医学
病毒学
周转时间
GeneXpert MTB/RIF公司
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
检出限
自动化方法
临床诊断
卡帕
色谱法
化学
假阳性悖论
计算生物学
生物
检测点注意事项
污染
定性分析
协议限制
2019-20冠状病毒爆发
核医学
科恩卡帕
作者
Sheng Zeng,Yanting Li,Yuling Zeng,Huidi Peng,Pei Yan,Xiaoling Chen,Yan Li,Xiaoping Xu,Shengjin Cui
标识
DOI:10.1515/cclm-2026-0093
摘要
OBJECTIVES: To evaluate the analytical performance and clinical workflow efficiency of the Flash10 molecular point-of-care testing (POCT) system for the detection of influenza A (FluA) and influenza B (FluB) viruses. METHODS: Throat swab specimens from 178 individuals presenting with influenza-like symptoms were tested in parallel using the Flash10 system, GeneXpert, and real-time quantitative PCR (RT-PCR). Analytical performance was assessed in terms of precision, limit of detection (LOD), specificity, and contamination risk. Result agreement among platforms was evaluated using correlation analysis, Bland-Altman analysis, and Kappa statistics. Turnaround time (TAT) was retrieved from the laboratory information system to compare clinical workflow efficiency between Flash10 and conventional RT-PCR. RESULTS: The Flash10 system demonstrated good precision, with intra-batch coefficients of variation (CVs) ranging from 0.79 % to 1.41 % and inter-batch CVs ranging from 2.62 % to 3.05 % at concentrations of 500 and 1,000 copies/mL. The LOD for both FluA and FluB was 500 copies/mL, with a positive detection rate of 100 %. No cross-reactivity was observed with 10 common respiratory pathogens, and no contamination was detected during testing. Ct values obtained by Flash10 showed strong correlations with those generated by RT-PCR and GeneXpert for both FluA (r=0.87-0.93, p<0.0001) and FluB (rs=0.86-0.90, p<0.0001). Bland-Altman analysis revealed consistent agreement, despite systematic Ct differences between methods. Qualitative agreement for positive and negative results was perfect (Kappa=1.000, p<0.0001). The median TAT for Flash10 was 66.0 min, significantly shorter than that of RT-PCR (1,184.0 min, p<0.0001). CONCLUSIONS: The Flash10 molecular POCT system demonstrates analytical performance and result consistency comparable to established molecular diagnostic methods for the detection of FluA and FluB viruses. Its substantially shorter turnaround time supports its potential utility for rapid molecular testing in clinical point-of-care settings.
科研通智能强力驱动
Strongly Powered by AbleSci AI