Open AccessPooled testing for SARS‐CoV‐2 infection in an automated high‐throughput platform
Author(s) -
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
Publication year - 2021
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.23835
Subject(s) - pooling , throughput , group testing , covid-19 , sample (material) , test strategy , medicine , reliability engineering , computer science , operating system , chromatography , engineering , artificial intelligence , mathematics , chemistry , software , disease , combinatorics , infectious disease (medical specialty) , wireless
Background Active detection of SARS‐CoV‐2 infection through testing is elementary for the control of COVID‐19 pandemic. The implementation of large‐scale RT‐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 high‐throughput platform. Methodology Pooled testing was conducted in Roche cobas 6800 in 2 methods. Firstly, the simple two‐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 five‐sample Dorfman pooling to test 1410 samples, we identified 42 (2.9%) individual SARS‐CoV‐2‐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 one‐third of the cost per day. Conclusion A high‐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 SARS‐CoV‐2 and helping in the containment of community transmission.