Predicting Direct-Specimen SARS-CoV-2 Assay Performance Using Residual Patient Samples.

BACKGROUND: Diagnostic sensitivities of point-of-care SARS-CoV-2 assays depend on specimen type and population-specific viral loads. Evaluation of these assays require "direct" specimens from paired-swab studies rather than more accessible residual specimens in viral transport media (VTM). METHODS: Residual VTM and limit-of-detection studies were conducted on Abbott ID NOW™ COVID-19, Quidel Sofia 2™ SARS Antigen FIA, and DiaSorin Simplexa™ COVID-19 Direct assays, with cycle threshold (CT) adjustments to approximate direct-specimen testing based on gene-target doubling each PCR cycle. Logistic regression was used to model assay performance by specimen CT. These models were applied to CT distributions of symptomatic and asymptomatic populations presenting to emergency services to predict the percentage of specimens that would be detected by each assay. A 96-sample paired-swab study was conducted to confirm model results. RESULTS: When using direct nasopharyngeal samples and fit with either VTM or limit-of-detection data, percent positivities for ID NOW (symptomatic 94.9%/97.4%; asymptomatic 88.4.0%/89.6%) and Simplexa (symptomatic 97.8%/97.2%; asymptomatic 91.1%/90.8%) were predicted to be similar. Likewise, percent positivities for ID NOW with direct nasal specimens (symptomatic 77.8%; asymptomatic 64.5%) and, fit with VTM data, Sofia 2 with direct nasopharyngeal specimens (symptomatic 76.6%, asymptomatic 60.3%) were similar. The paired-swab study comparing direct nasopharyngeal specimens on ID NOW and nasopharyngeal VTM specimens on Simplexa showed 99% concordance. CONCLUSIONS: Assay performance can be modeled as dependent on viral load, fit using laboratory bench study results, and adjusted to account for direct-specimen testing. When using nasopharyngeal specimens, direct testing on Abbott ID NOW and VTM testing on DiaSorin Simplexa have similar performance.

Sleep and Coping in Early Childhood During the COVID-19 Pandemic.

Sleep disturbances in early childhood are associated with mood and anxiety disorders. Children also exhibit sleep disruptions, such as nighttime awakenings, nightmares, and difficulties falling asleep, in conjunction with adverse events and stress. Prior studies have examined independently the role of sleep on adaptive processing, as well as the effects of stress on sleep. However, how childhood sleep and children's adaptive behavior (i.e., coping strategies) bidirectionally interact is currently less known. Using a within-subjects design and actigraphy-measured sleep from 16 preschool-aged children (Mage = 56.4 months, SD = 10.8, range: 36-70 months), this study investigated how prior sleep patterns relate to children's coping during a potentially stressful event, the COVID-19 pandemic, and how prior coping skills may influence children's sleep during the pandemic. Children who woke earlier had greater negative expression both before and during the pandemic. During the pandemic, children slept longer and woke later on average compared to before the pandemic. Additionally, for children engaged in at-home learning, sleeping longer was associated with less negative expression. These findings highlight how sleep behaviors and coping strategies are related, and the stability of this relationship under stress.

Assessing the validity of the Australian Treatment Outcomes Profile for telephone administration in drug health treatment populations.

INTRODUCTION AND AIMS: The Australian Treatment Outcomes Profile (ATOP) is a brief clinical tool measuring recent substance use, health and wellbeing among clients attending alcohol and other drug (AOD) treatment services. It has previously been assessed for concurrent validity and inter-rater reliability. In this study we examine whether it is suitable for administration over the telephone. DESIGN AND METHODS: We recruited a sample of 107 AOD clients across public sector specialist AOD treatment services in New South Wales, Australia between 2016 and 2018. Participants had a mean age of 47 years and 46% were female. Participants completed a face-to-face ATOP and a phone ATOP with a researcher within 5 days. Comparisons between the two administration modes were undertaken using Spearman's rank correlation coefficient for continuous or ordinal variables, and Cohen's Kappa for nominal variables. RESULTS: Among 107 participants, 59% were attending for alcohol treatment and 41% for opioid treatment. Most ATOP items (76%) reached above 0.7 (good) or 0.9 (excellent) agreement between face-to-face and telephone use. DISCUSSION AND CONCLUSIONS: Our findings suggest that the ATOP is a suitable instrument for telephone monitoring of recent substance use, health and social functioning among AOD clients. Its validation for remote use over the telephone will support staff to monitor clients' risks and outcomes-of particular relevance in response to the COVID-19 pandemic in which services are increasingly relying on telework approaches to client monitoring.