RESUMO
Early, accurate, and bulk detection of respiratory pathogens is essential for patient management and infection control. STARlet-All-in-One System (AIOS) (Seegene) is a new, fully automated, sample-to-result, molecular diagnostic platform. This study describes the first evaluation of STARlet-AIOS, by testing the Allplex™ SARS-CoV-2 (AS) and Allplex™ SARS-CoV-2/FluA/FluB/RSV combination (AC) assays in comparison to the SARS-CoV-2 assays used at our institute. Over a 3-week period, all naso-/oropharyngeal specimens tested for SARS-CoV-2 using either GeneXpert, Panther, or in-house developed test (LDT) were tested on the AIOS using the AS or AC assays. In addition, retrospective cohorts of specimens containing SARS-CoV-2, influenza virus A, influenza virus B, and RSV were tested. Discrepant results were re-tested with another assay used in this study. Hands-on time (HOT) and turn-around time (TAT) of the different systems were monitored and compared. A total of 738 specimens were tested on the AIOS using the AS assay. In addition, 210 specimens were tested using the AC assay. Overall agreement for SARS-CoV-2 detection was established as 98.5% and 95.2% for the AS and AC assay, respectively. Retrospective testing revealed high agreements for all targets, except for influenza virus A (agreement of 87.5%). HOT of the system was comparable to the HOT of GeneXpert and Panther and TAT comparable to Panther and LDT. The AIOS proved to be a robust sample-to-result system with low HOT and moderate TAT. This study showed reliable detection of SARS-CoV-2, influenza virus B, and RSV, whereas detection of influenza virus A using the AC assay appeared to be suboptimal.