Longitudinal At Home Smell Testing to Detect Infection by SARS-CoV-2

纵向家庭气味测试检测 SARS-CoV-2 感染

基本信息

批准号：
10321005
负责人：
MARK W ALBERS
金额：
$ 43.66万
依托单位：
MASSACHUSETTS GENERAL HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-12-21 至 2024-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10321005
关键词：
2019-nCoV Age Algorithms Alzheimer disease detection Anosmia Area Under Curve Argentine Biological Assay COVID diagnosis COVID-19 associated anosmia COVID-19 pandemic COVID-19 patient COVID-19 test Cellular Phone Clinic Clinical Computers Data Development Disease Electronic Health Record Elements Employee Evaluation General Hospitals Health Personnel Health Professional Home Hospitals Individual Infection Influenza International Label Lung diseases Maryland Massachusetts Molecular Molecular Diagnosis Monitor Odors Olfactory dysfunction Online Systems Participant Patient Self-Report Patients Performance Persons PhenX Toolkit Phenotype Pilot Projects Population Population Heterogeneity Predictive Value Probability Prognosis Quarantine Rehabilitation therapy Research Risk Risk Estimate SARS-CoV-2 infection Safety Schools Self Administration Sensitivity and Specificity Signal Transduction Site Smell Perception Students Symptoms Syndrome Tablets Taste Perception Testing Time Universities Update Virus Woman Work algorithm development base coronavirus disease experience infection risk influenza infection innovation new technology respiratory screening smell test social health determinants software development undergraduate student university student vector transmission

项目摘要

Abstract: Self-report of sudden loss of smell or taste substantially increases the odds of being infected with SARS-CoV-2 (10 – 37-fold). However, self-report of smell function is an unreliable predictor of smell loss. Based on our experience developing smell tests with personalized algorithms for asymptomatic detection of Alzheimer's disease, we created a self-administered easy to use “at home” 5-minute objective smell test to uncover alterations in smell function unbeknownst to many individuals, and confer increased risk of infection by SARS- CoV-2. Our new smell test consists of a physical smell card containing peel and sniff odor labels and a web- based application. The disposable smell card reduces the risk that the smell test serves as a vector of transmission to other patients, research staff, and to health care workers. Each participant accesses the web- based app on their own smartphone, tablet, or computer. In our pilot studies, we validated each participant's COVID status by extracting results of clinical SARS-CoV-2 RT PCR assays from electronic health records. The smell test provides better area under the curve for SARS-CoV-2 infection (0.83 – 0.85) in both US and Argentinian symptomatic patients (ages 19 - 87) than symptom tracking alone (0.66). We are expanding the smell test from one smell card with three odors to 6 smell cards, each with 3 different odors (18 odors total). Having six different versions of the smell card will afford longitudinal screening several times per week and provide data to construct personalized thresholds for changes in olfactory function - each person serving as their own control and monitoring for diminishment of their expected performance based on their personal trajectory rather than being based on population norms. Here we propose to develop a native app to conduct longitudinal COVID Smell Test (Aim 1), collect data on asymptomatic health care workers, symptomatic patients, and undergraduates (Aim 2) and develop algorithms for the longitudinal smell test for personalized thresholds, differentiate smell loss from COVID relative to influenza, and assess risk of developing pulmonary disease in COVID infected patients (Aim 3). The Longitudinal COVID Smell Test is accessible, affordable, and readily scalable. Effective screening with the COVID smell test will better inform students and employees if they should not report to school or work, and seek an evaluation by a healthcare professional and molecular testing at an early, often asymptomatic, stage of the disease.

抽象的：自我报告突然失去气味或味道大大增加了被SARS-COV-2感染的几率（10 - 37倍）。但是，气味功能的自我报告是气味丧失的不可靠预测指标。基于我们使用个性化算法开发气味测试的经验，用于不对称检测阿尔茨海默氏症疾病，我们创建了一个易于使用的自我管理的5分钟客观气味测试，以发现许多人的气味功能的改变，会议增加了SARS感染风险 COV-2。我们的新气味测试包括一张包含果皮和嗅探气味标签的物理气味卡以及一个网络基于应用。一次性气味卡降低了气味测试作为向量的风险向其他患者，研究人员和医疗保健工作者传播。每个参与者访问网络 - 基于自己的智能手机，平板电脑或计算机的应用程序。在我们的试点研究中，我们验证了每个参与者的通过从电子健康记录中提取临床SARS-COV-2 RT PCR分析的结果，通过从电子健康记录中提取结果。这气味测试可为我们和美国和阿根廷有症状的患者（19-87岁）比单独的症状跟踪（0.66）。我们正在扩大一张气味卡的气味测试，带有三个气味到6个气味卡，每张有3种不同的气味（共18个气味）。拥有六个不同版本的气味卡将每周提供几次纵向筛查，并且提供数据以构建个性化阈值以改变嗅觉功能 - 每个人都他们自己的控制和监控，以根据个人的个人身份降低预期绩效轨迹而不是基于人口规范。在这里，我们建议开发一个本地应用程序来进行纵向卷闻气味测试（AIM 1），收集有关无症状卫生保健工作者的数据，有症状的患者和本科生（AIM 2）并为个性化的纵向气味测试开发算法阈值，区分与造成影响相对于COVID的气味丧失，以及评估肺部的风险在互联的患者中疾病（AIM 3）。纵向的卷轴气味测试是可访问，负担得起的，并且容易扩展。通过COVID气味测试进行有效筛选，可以更好地告知学生和员工他们不应向学校或工作报告，并寻求医疗保健专业人员和分子的评估在疾病的早期，通常不对称的阶段进行测试。