Author: Dash, Girish Chandra; Rout, Usha Kiran; Nanda, Rashmi Ranjan; Parai, Debaprasad; Choudhary, Hari Ram; Kanungo, Srikanta; Palo, Subrata Kumar; Kshatri, Jaya Singh; Turuk, Jyotirmayee; Mishra, Bijaya Kumar; Pati, Sanghamitra; Bhattacharya, Debdutta
Title: Pooled testing for SARSâ€CoVâ€2 infection in an automated highâ€throughput platform Cord-id: wbki1ly8 Document date: 2021_6_28
ID: wbki1ly8
Snippet: BACKGROUND: Active detection of SARSâ€CoVâ€2 infection through testing is elementary for the control of COVIDâ€19 pandemic. The implementation of largeâ€scale RTâ€PCR testing has led to a rise in the demand for testing kits whose availability is always a concern. OBJECTIVE: To find out the feasibility of pooled testing in a highâ€throughput platform. METHODOLOGY: Pooled testing was conducted in Roche cobas 6800 in 2 methods. Firstly, the simple twoâ€stage testing algorithm was conducted f
Document: BACKGROUND: Active detection of SARSâ€CoVâ€2 infection through testing is elementary for the control of COVIDâ€19 pandemic. The implementation of largeâ€scale RTâ€PCR testing has led to a rise in the demand for testing kits whose availability is always a concern. OBJECTIVE: To find out the feasibility of pooled testing in a highâ€throughput platform. METHODOLOGY: Pooled testing was conducted in Roche cobas 6800 in 2 methods. Firstly, the simple twoâ€stage testing algorithm was conducted for 1410 samples individually and then as pooled samples. Secondly, we evaluated the sensitivity of cobas 6800 for the detection of a single positive sample within a pool of negative samples. RESULTS: Implementing the fiveâ€sample Dorfman pooling to test 1410 samples, we identified 42 (2.9%) individual SARSâ€CoVâ€2â€positive samples and 27 (9.5%) positive pool samples. The pooling strategy precisely identified all the positive samples. All individually negative samples were also accurately determined by pooling. There was 100% sensitivity of detecting positive samples in a pool of negative samples even up to 1:64 dilution. There was a threefold increase in total throughput in oneâ€third of the cost per day. CONCLUSION: A highâ€throughput platform such as Cobas 6800 can effectively increase the testing capacity by twofold to threefold by adopting the pooled testing strategy for successful management of SARSâ€CoVâ€2 and helping in the containment of community transmission.
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