Author: Chong, B. S.; Tran, T.; Druce, J.; Ballard, S. A.; Simpson, J. A.; Catton, M.
                    Title: Sample Pooling is a Viable Strategy for SARS-CoV-2 Detection in Low-Prevalence Settings  Cord-id: tuw1xdpd  Document date: 2020_9_2
                    ID: tuw1xdpd
                    
                    Snippet: BACKGROUND The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has significantly increased demand on laboratory throughput and reagents for nucleic acid extraction and polymerase chain reaction (PCR). Reagent shortages may limit the expansion of testing required to scale back isolation measures. AIM To investigate the viability of sample pooling as a strategy for increasing test throughput and conserving PCR reagents; to report our early experience with pooling of clinical 
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: BACKGROUND The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has significantly increased demand on laboratory throughput and reagents for nucleic acid extraction and polymerase chain reaction (PCR). Reagent shortages may limit the expansion of testing required to scale back isolation measures. AIM To investigate the viability of sample pooling as a strategy for increasing test throughput and conserving PCR reagents; to report our early experience with pooling of clinical samples. METHODS A pre-implementation study was performed to assess the sensitivity and theoretical efficiency of two, four, and eight-sample pools in a real-time reverse transcription PCR-based workflow. A standard operating procedure was developed and implemented in two laboratories during periods of peak demand, inclusive of over 29,000 clinical samples processed in our laboratory. RESULTS Sensitivity decreased (mean absolute increase in cycle threshold value of 0.6, 2.3, and 3.0 for pools of two, four, and eight samples respectively) and efficiency increased as pool size increased. Gains from pooling diminished at high disease prevalence. Our standard operating procedure was successfully implemented across two laboratories. Increased workflow complexity imparts a higher risk of errors, and requires risk mitigation strategies. Turnaround time for individual samples increased, hence urgent samples should not be pooled. CONCLUSIONS Pooling is a viable strategy for high-throughput testing of SARS-CoV-2 in low-prevalence settings.
 
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