Microbiome and Growth in Infants with Congenital Heart Disease.

OBJECTIVE: To profile the gut microbiome (GM) in infants with congenital heart disease (CHD) undergoing cardiac surgery compared with matched infants and to investigate the association with growth (weight, length, and head circumference). STUDY DESIGN: A prospective study in the cardiac intensive care unit at Children's Healthcare of Atlanta and newborn nursery within the Emory Healthcare system. Characteristics including weight, length, head circumference, and surgical variables were collected. Fecal samples were collected presurgery (T1), postsurgery (T2), and before discharge (T3), and once for controls. 16 small ribosomal RNA subunit V4 gene was sequenced from fecal samples and classified into taxonomy using Silva v138. RESULTS: There were 34 children with CHD (cases) and 34 controls. Cases had higher alpha-diversity, and beta-diversity showed significant dissimilarities compared with controls. GM was associated with lower weight and smaller head circumference (z-score < 2). Lower weight was associated with less Acinetobacter, Clostridioides, Parabacteroides, and Escherichia-Shigella. Smaller head circumference with more Veillonella, less Acinetobacter, and less Parabacteroides. CONCLUSIONS: Significant differences in GM diversity and abundance were observed between infants with CHD and control infants. Lower weight and smaller head circumference were associated with distinct GM patterns. Further study is needed to understand the longitudinal effect of microbial dysbiosis on growth in children with CHD.

Concordance of SARS-CoV-2 Results in Self-collected Nasal Swabs vs Swabs Collected by Health Care Workers in Children and Adolescents.

Importance: Despite the expansion of SARS-CoV-2 testing, available tests have not received Emergency Use Authorization for performance with self-collected anterior nares (nasal) swabs from children younger than 14 years because the effect of pediatric self-swabbing on SARS-CoV-2 test sensitivity is unknown. Objective: To characterize the ability of school-aged children to self-collect nasal swabs for SARS-CoV-2 testing compared with collection by health care workers. Design, Setting, and Participants: Cross-sectional study of 197 symptomatic children and adolescents aged 4 to 14 years old. Individuals were recruited based on results of testing in the Children's Healthcare of Atlanta system from July to August 2021. Exposures: Children and adolescents were given instructional material consisting of a short instructional video and a handout with written and visual steps for self-swab collection. Participants first provided a self-collected nasal swab. Health care workers then collected a second specimen. Main Outcomes and Measures: The primary outcome was SARS-CoV-2 detection and relative quantitation by cycle threshold (Ct) in self- vs health care worker-collected nasal swabs when tested with a real-time reverse transcriptase-polymerase chain reaction test with Emergency Use Authorization. Results: Among the study participants, 108 of 194 (55.7%) were male and the median age was 9 years (IQR, 6-11). Of the 196 participants, 87 (44.4%) tested positive for SARS-CoV-2 and 105 (53.6%) tested negative by both self- and health care worker-collected swabs. Two children tested positive by self- or health care worker-collected swab alone; 1 child had an invalid health care worker swab. Compared with health care worker-collected swabs, self-collected swabs had 97.8% (95% CI, 94.7%-100.0%) and 98.1% (95% CI, 95.6%-100.0%) positive and negative percent agreement, respectively, and SARS-CoV-2 Ct values did not differ significantly between groups (mean [SD] Ct, self-swab: 26.7 [5.4] vs health care worker swab: 26.3 [6.0]; P = .65). Conclusions and Relevance: After hearing and seeing simple instructional materials, children and adolescents aged 4 to 14 years self-collected nasal swabs that closely agreed on SARS-CoV-2 detection with swabs collected by health care workers.

Don't forget about human factors: Lessons learned from COVID-19 point-of-care testing.

During the COVID-19 pandemic, the development of point-of-care (POC) diagnostic testing accelerated in an unparalleled fashion. As a result, there has been an increased need for accurate, robust, and easy-to-use POC testing in a variety of non-traditional settings (i.e., pharmacies, drive-thru sites, schools). While stakeholders often express the desire for POC technologies that are "as simple as digital pregnancy tests," there is little discussion of what this means in regards to device design, development, and assessment. The design of POC technologies and systems should take into account the capabilities and limitations of the users and their environments. Such "human factors" are important tenets that can help technology developers create POC technologies that are effective for end-users in a multitude of settings. Here, we review the core principles of human factors and discuss lessons learned during the evaluation process of SARS-CoV-2 POC testing.