Demographic Correlates of Autism: How Do Associations Compare Between Diagnosis and a Quantitative Trait Measure?

Prevalence of autism diagnosis has historically differed by demographic factors. Using data from 8224 participants drawn from the Environmental influences on Child Health Outcomes (ECHO) Program, we examined relationships between demographic factors and parent-reported autism-related traits as captured by the Social Responsiveness Scale (SRS; T score > 65) and compared these to relations with parent-reported clinician diagnosis of ASD, in generalized linear mixed effects regression analyses. Results suggested lower odds of autism diagnosis, but not of SRS T > 65, for non-Hispanic Black children (adjusted odds ratio [OR] = 0.

Three-year-old development: The relationship of child health and parenting stress to neurocognition.

Purpose: This study examined parenting stress and child special healthcare needs to child neurocognitive development (NCD).

Design And Methods: This secondary analysis used data from the primary study, a longitudinal cohort study of mother-child dyads. Multivariable regression models examined the associations between parenting stress and child special healthcare needs with NCD.

Daily life mobility detects frailty, falls, and functioning in older prostate cancer survivors treated with androgen deprivation therapy.

Introduction: Androgen deprivation therapy (ADT) increases the risk of frailty, falls, and poor physical functioning in older adults with prostate cancer. Detection of frailty is limited to self-report instruments and performance measures, so unbiased tools are needed. We investigated relationships between an unbiased measure - daily life mobility - and ADT history, frailty, fall history, and functioning in older prostate cancer survivors treated with ADT.

A modular toolbox for the optogenetic deactivation of transcription.

Light-controlled transcriptional activation is a commonly used optogenetic strategy that allows researchers to regulate gene expression with high spatiotemporal precision. The vast majority of existing tools are, however, limited to light-triggered induction of gene expression. Here, we inverted this mode of action and created optogenetic systems capable of efficiently terminating transcriptional activation in response to blue light.

Retinal fluid quantification using a novel deep learning algorithm in patients treated with faricimab in the TRUCKEE study.

Background: Investigate retinal fluid changes via a novel deep-learning algorithm in real-world patients receiving faricimab for the treatment of neovascular age-related macular degeneration (nAMD).

Methods: Multicenter, retrospective chart review and optical coherence tomography (OCT) image upload from participating sites was conducted on patients treated with faricimab for nAMD from February 2022 to January 2024. The Notal OCT Analyzer (NOA) algorithm provided intraretinal, subretinal and total retinal fluid for each scan.