102. Optimizing the Sensitivity of Detection of Respiratory Syncytial Virus Infections in Longitudinal Studies Using the Combination of Weekly Sample Testing and Biannual Serology
Shannon C Conrey, Daniel C Payne, Maria P Deza Leon, Monica Epperson, Coughlin Melissa, Burrell R Allison, Claire Mattison, Julia M Baker, Natalie J Thornburg, Meredith L McMorrow, Mary A Staat, Ardythe L Morrow

TL;DR
This study shows that combining weekly nasal swab testing with biannual blood tests improves the detection of RSV infections in children, even when some samples are missed.
Contribution
The novel approach combines frequent nasal swab testing with serology to increase RSV detection sensitivity and reduce bias from incomplete sample adherence.
Findings
Serology identified 21 new RSV infections in 17 children not detected by RT-qPCR alone.
Combining RT-qPCR and serology increased cumulative incidence from 49% to 75% and incidence density from 0.33 to 0.71 infections/child-year.
CART-derived antibody thresholds provided 95% sensitivity and 100% specificity for RSV detection.
Abstract
Cohort studies with frequent sampling and testing can improve the full capture of infections and disease burden but are often challenged by incomplete adherence to sampling regimens. We describe the detection sensitivity of respiratory syncytial virus (RSV) infection achieved in a birth cohort using a combination of weekly nasal sample testing and serology.Comparison of Cumulative Incidence by Weekly Sample Adherence Level using RT-qPCR -Only Detections and a Combination of RT-qPCR and Biannual SerologyCumulative incidence comparisons by subset adherence level demonstrating the differences among adherence levels in cumulative incidence when using RT-qPCR only to detect RSV infections (top) and the attenuation of differences when using a combination of RT-qPCR and serological RSV detections (bottom). P-values in the plots represents differences by log-likelihood.All participants…
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Taxonomy
TopicsRespiratory viral infections research · SARS-CoV-2 detection and testing · Reliability and Agreement in Measurement
