Towards equitable early identification of autism spectrum disorders in females

项目摘要/摘要 自闭症谱系障碍(ASD)的筛查工具在实践中的预测能力很差，尤其是 对于女性，这可能是由于筛查问卷的性别相关测量偏差而产生的，以及缺乏 准确捕捉ASD早期症状特征的变异性。计算方法可用于 表征ASD早期症状的异质性，评估和解释与性别相关的测量偏差 可确定在实践中可在临床上操作的ASD风险概况。候选人的长期目标是 通过降低诊断年龄来提高自闭症儿童及其家庭的目标生活质量， 尤其是被传统筛查方法遗漏的女性。本K23中描述的研究和培训 应用程序将建立在候选人现有专业知识的基础上，增加所需的概念和方法技能 开发和实施一种新的筛查方法，以更准确地识别ASD风险 基于社区的样本。目标1评估基于性别的测量偏差的程度，这些测量显示 获取3,000名17-25个月儿童ASD早期特征的临床相关变异 从社区研究登记处招募的。目标2将计算方法应用于模型维度 ASD早期症状的变异性，并确定同一样本中假设为 在36个月时的临床结果各不相同。目标3采用传播和实施(D&I)科学镜头 评估家长和提供商对筛查做法的看法，以确定促进者和障碍，通过 定性访谈(儿科医生N=20；家长N=40)。该项目符合NIMH战略计划目标2 到“检查精神疾病的一生轨迹。”候选人是一名临床心理学家， 明尼苏达大学助理教授，在表征早期性别差异方面具有专业知识 ASD轨迹。拟议的K23应用程序将为应聘者提供开发所需的培训 在进行ASD社区筛查方面的新知识和技能，计算模型 异质性，以及传播和实施科学。导师达米恩·费尔博士、杰德·埃里森和 Timothy Beebe拥有支持这些培训和科学目标的专业知识和指导技能。这 将候选人定位为建立一个独立的临床-翻译研究计划，专注于改善 ASD早期筛查的精确度为早期ASD担忧提供了精确的药物 在性别上平等。培训将在特殊的科学环境中进行，儿科将于 明尼苏达大学和新成立的共济会大脑发育研究所。

PROJECT SUMMARY/ABSTRACT Screening tools for autism spectrum disorder (ASD) show poor predictive performance in practice, particularly for females, which may arise due to sex-related measurement bias of screening questionnaires, and lack of precision in capturing the variability in early symptom profiles of ASD. Computational approaches to characterize heterogeneity and assess and account for sex-related measurement bias in early ASD symptoms may identify ASD risk profiles that can be clinically actionable in practice. The candidate's long-term goals are to enhance goals quality of life for children with ASD and their families by lowering the age of diagnosis, especially in females missed by traditional screening methods. The research and training described in this K23 application will build on the candidate's existing expertise, adding conceptual and methodological skills needed to develop and implement a novel screening approach that will more precisely identify ASD risk in a community-based sample. Aim 1 evaluates the extent of sex-based measurement bias in measures shown to capture clinically-relevant variability in early ASD traits in a sample of 3,000 children between 17-25 months recruited from a community research registry. Aim 2 applies computational approaches to model dimensional variability in early ASD symptoms and identify subgroups of risk in the same sample that are hypothesized to vary on clinical outcomes at 36 months. Aim 3 takes a dissemination and implementation (D&I) science lens to assess parent and provider views on screening practices to identify facilitators and barriers to change via qualitative interviews (Pediatrician N=20; Parent N=40). This project is in line with NIMH Strategic Plan Goal 2 to “examining mental illness trajectories across the lifespan.” The candidate is a clinical psychologist and Assistant Professor at the University of Minnesota, with expertise in characterizing sex differences in early ASD trajectories. The proposed K23 application will provide the candidate with the training needed to develop new knowledge and skills in conducting community-based screening for ASD, computational modeling of heterogeneity, and dissemination and implementation science. Mentors Dr. Damien Fair, Jed Elison, and Timothy Beebe possess the expertise and mentoring skills to support these training and scientific aims. This will position the candidate to build an independent clinical-translational research program focused on improving the precision of early screening for ASD to enable precision medicine for early ASD concerns that are equitable by sex. Training will occur in an exceptional scientific environment in the Department of Pediatrics at the University of Minnesota and the newly established Masonic Institute of the Developing Brain.