Identification and characterization of children with asthma-associated comorbidities through computational and immune phenotyping
通过计算和免疫表型分析患有哮喘相关合并症的儿童的识别和特征分析
基本信息
- 批准号:10337267
- 负责人:
- 金额:$ 79.14万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-04-01 至 2025-01-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAdultAlgorithmsAntigensAppendicitisAsthmaAutoimmune DiseasesBirthCD3 AntigensCaregiversCaringCeliac DiseaseCell CycleCenters for Disease Control and Prevention (U.S.)CharacteristicsChildChildhood AsthmaChronic DiseaseClinicClinicalClinical ResearchCohort StudiesCommunicable DiseasesComputerized Medical RecordCountyCross-Sectional StudiesDataDevelopmentDiabetes MellitusDiseaseEarly identificationEnrollmentFamily history ofFutureGoalsHealthHerpes zoster diseaseImmuneImmunityImpairmentInfectionInflammatoryKnowledgeLongitudinal StudiesMeasurementMeasuresMemoryNatural ImmunityNatural Language ProcessingOutcomePatient-Focused OutcomesPatientsPediatric HospitalsPhenotypePneumococcal InfectionsPneumococcal PneumoniaPneumoniaPopulationPopulation SurveillanceRecordsReproducibilityResearchResearch DesignResearch PersonnelRespiratory Tract InfectionsRheumatoid ArthritisRiskRisk FactorsSamplingSioux FallsSiteSubgroupSymptomsT-LymphocyteTimeTime ManagementUnited StatesWorkadaptive immunityasthmaticbasecohortcomorbiditycostempoweredimmunosenescenceimprovedimproved outcomeindexinginhibitormeetingsphenotyping algorithmportabilitypreventpulmonary functionrespiratoryresponsesenescencetool
项目摘要
PROJECT SUMMARY
Asthma, the most common chronic disease among children, is one of the five most burdensome diseases in the
US. While current care and research efforts focus on symptom control and exacerbation risk, children with asthma
may suffer from infectious and inflammatory diseases, ie, asthma-associated infectious and inflammatory disease
comorbidities (AIICs) (eg, pneumococcal disease, herpes zoster, appendicitis, and celiac disease). Although AIICs
pose serious threats to children with asthma, they are largely under-recognized, as evidenced by diabetes mellitus
being widely recognized but a less common chronic illness with a magnitude similar to that for asthma. Presently,
the mechanisms underlying AIICs are unknown. We postulate immunosenescence might be related, as AIICs
coincide with cardinal immunosenescence features. AIICs are not clinically defined and a suitable tool has not been
developed to identify children with AIICs. Thus, no strategies mitigating AIICs risks and outcomes exist.
Addressing these knowledge gaps depends upon two key questions: (1) “How can asthmatic children subgroups
with increased AIICs risk be identified at a population level using electronic medical records?” and (2) “What
immune parameters characterize such children?” Answering these is this proposal's primary goal. To this end, our
current R01 study successfully developed, validated, and implemented natural language processing (NLP)-
empowered computational phenotyping algorithms for two existing criteria for childhood asthma (Predetermined
Asthma Criteria, PAC and Asthma Predictive Index, API). NLP-empowered algorithm application to the 1997-2007
Olmsted County Birth Cohort (OCBC) enabled us to profile a subgroup of children with asthma at increased AIICs
risk, disproportionately represented by children who met both NLP-PAC and NLP-API.
Our new pilot data suggest
asthma potentially accelerates immunosenescence leading to AIICs in a subgroup of asthmatic children.
In this renewal proposal, we target this subgroup who meet both NLP-PAC and NLP-API. We will develop and
apply NLP-empowered computational phenotyping algorithms for AIICs to identify such children at a population
level, then characterize their immune parameters measuring immunosenescence. In Aim 1, we will develop new
NLP-empowered computational phenotyping algorithms for recognized and unrecognized AIICs (NLP-AIIC) for
children enrolled in Mayo Clinic `s 1997-2016 OCBC,
then assess portability of NLP-AIIC at Sanford Children's
Hospital, Sioux Falls, SD
. In Aim 2, we will identify and characterize children with AIICs through new NLP-AIIC and
NLP algorithms for asthma status, by utilizing clinical and immune parameters to measure immunosenescence. In
Aim 3, we will assess changes (eg, waning adaptive immunity) over time in immune parameters measuring
immunosenescence for 300 children in our R01 study, re-enrolling them for further characterization.
This proposed study is indispensable to understanding why some children with asthma develop AIICs, while others
do not. This knowledge will allow us to identify, manage, mitigate, and improve outcomes for AIICs among children.
项目总结
项目成果
期刊论文数量(37)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Analysis of Clinical Variations in Asthma Care Documented in Electronic Health Records Between Staff and Resident Physicians
电子健康记录中工作人员和住院医师之间哮喘护理临床差异的分析
- DOI:10.3233/978-1-61499-830-3-1170
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:S. Sohn;C. Wi;Y. Juhn;Hongfang Liu
- 通讯作者:Hongfang Liu
Identification of asthma control factor in clinical notes using a hybrid deep learning model.
- DOI:10.1186/s12911-021-01633-4
- 发表时间:2021-11-09
- 期刊:
- 影响因子:3.5
- 作者:Agnikula Kshatriya BS;Sagheb E;Wi CI;Yoon J;Seol HY;Juhn Y;Sohn S
- 通讯作者:Sohn S
Rural-urban health disparities for mood disorders and obesity in a midwestern community.
中西部社区中情绪障碍和肥胖的农村健康差异。
- DOI:10.1017/cts.2020.27
- 发表时间:2020-03-24
- 期刊:
- 影响因子:2.6
- 作者:Patten CA;Juhn YJ;Ryu E;Wi CI;King KS;Bublitz JT;Pignolo RJ
- 通讯作者:Pignolo RJ
Role of Geographic Risk Factors in COVID-19 Epidemiology: Longitudinal Geospatial Analysis.
- DOI:10.1016/j.mayocpiqo.2021.06.011
- 发表时间:2021-10
- 期刊:
- 影响因子:0
- 作者:Juhn YJ;Wheeler P;Wi CI;Bublitz J;Ryu E;Ristagno EH;Patten C
- 通讯作者:Patten C
Assessing health disparities in children using a modified housing-related socioeconomic status measure: a cross-sectional study.
使用修改后的与住房相关的社会经济地位指标评估儿童的健康差异:一项横断面研究。
- DOI:10.1136/bmjopen-2016-011564
- 发表时间:2016
- 期刊:
- 影响因子:2.9
- 作者:Ryu,Euijung;Wi,Chung-Il;Crow,SheriS;Armasu,SebastianM;Wheeler,PhilipH;Sloan,JeffA;Yawn,BarbaraP;Beebe,TimothyJ;Williams,ArthurR;Juhn,YoungJ
- 通讯作者:Juhn,YoungJ
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{{ truncateString('YOUNG J JUHN', 18)}}的其他基金
Improving the Risk Adjustment Method for Quality Care Measures through Application of an Innovative Individual-Level Socioeconomic Measure
通过应用创新的个人层面的社会经济措施,改进优质护理措施的风险调整方法
- 批准号:
10213256 - 财政年份:2021
- 资助金额:
$ 79.14万 - 项目类别:
Improving the Risk Adjustment Method for Quality Care Measures through Application of an Innovative Individual-Level Socioeconomic Measure
通过应用创新的个人层面的社会经济措施,改进优质护理措施的风险调整方法
- 批准号:
10394328 - 财政年份:2021
- 资助金额:
$ 79.14万 - 项目类别:
Asthma ascertainment and characterization through electronic health records
通过电子健康记录确定和表征哮喘
- 批准号:
9032521 - 财政年份:2015
- 资助金额:
$ 79.14万 - 项目类别:
Enhanced Ascertainment of Asthma Status Via Natural Language Processing
通过自然语言处理增强哮喘状态的确定
- 批准号:
8995191 - 财政年份:2015
- 资助金额:
$ 79.14万 - 项目类别:
Asthma ascertainment and characterization through electronic health records
通过电子健康记录确定和表征哮喘
- 批准号:
8853379 - 财政年份:2015
- 资助金额:
$ 79.14万 - 项目类别:
Enhanced Ascertainment of Asthma Status Via Natural Language Processing
通过自然语言处理增强哮喘状态的确定
- 批准号:
8860691 - 财政年份:2015
- 资助金额:
$ 79.14万 - 项目类别:
Risk of Herpes Zoster Among Adults with Asthma
成人哮喘患者患带状疱疹的风险
- 批准号:
8495928 - 财政年份:2012
- 资助金额:
$ 79.14万 - 项目类别:
Risk of Herpes Zoster Among Adults with Asthma
成人哮喘患者患带状疱疹的风险
- 批准号:
8346055 - 财政年份:2012
- 资助金额:
$ 79.14万 - 项目类别:
Individual Housing Data and Socioeconomic Status
个人住房数据和社会经济状况
- 批准号:
7229827 - 财政年份:2006
- 资助金额:
$ 79.14万 - 项目类别:
Individual Housing Data and Socioeconomic Status
个人住房数据和社会经济状况
- 批准号:
7015211 - 财政年份:2006
- 资助金额:
$ 79.14万 - 项目类别:
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