Sequential Modeling for Prediction of Periodontal Diseases: an intra-Collaborative Practice-based Research study (ICPRS)

牙周病预测的序列模型：基于内部协作实践的研究 (ICPRS)

• 批准号: 10755010
• 负责人: Marisol Tellez Merchan
• 金额: $ 65.28万
• 依托单位: TEMPLE UNIV OF THE COMMONWEALTH
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-13 至 2028-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10755010
• 关键词: 16S ribosomal RNA sequencing; Address; Adult; Affect; American; Applications Grants; Artificial Intelligence; Assessment tool; Behavioral; Biological Markers; Biometry; Caring; Classification; Clinical; Clinical Decision Support Systems; Clinical Research; Cohort Studies; Collaborations; Consent; Continuity of Patient Care; Coupled; Data; Data Analyses; Data Set; Decision Making; Dental; Dental Education; Dental Epidemiology; Dental General Practice; Dental Schools; Dental Students; Dentists; Development; Disease; Disease Progression; Disease model; Early Diagnosis; Electronic Health Record; Faculty; Funding; Genes; Goals; Grant; Health; Health Status; Healthcare; Incidence; Individual; Knowledge; Laboratories; Learning; Machine Learning; Medical; Medical History; Medical Records; Metagenomics; Modeling; Nested Case-Control Study; Nursing Faculty; Oral; Oral health; Pain; Pathway interactions; Patient Self-Report; Patients; Pennsylvania; Performance; Periodontal Diseases; Periodontitis; Physicians; Population; Postdoctoral Fellow; Practice based research; Prevention; Prospective, cohort study; Public Health; Public Health Informatics; Quality of life; Records; Reporting; Research; Research Activity; Research Project Grants; Research Support; Resolution; Risk Assessment; Risk Factors; Saliva; Salivary; Sampling; School Dentistry; Schools; Science; Shotguns; Statistical Models; Students; Teacher Professional Development; Testing; Time; Tooth Loss; Training; Universities; certificate program; clinical practice; college; diagnostic accuracy; disability; disease diagnosis; disorder control; disorder prevention; disorder risk; dysbiosis; empowerment; improved; indexing; innovation; medical schools; meetings; metagenomic sequencing; microbial; microbial signature; microbiome; microbiome analysis; multiple data sources; novel; novel strategies; oral microbiome; patient oriented research; potential biomarker; practice-based research network; pre-doctoral; predictive marker; predictive modeling; programs; psychologic; recruit; research study; response; risk prediction model; saliva sample; skills; social determinants; student mentoring; student training; subgingival microbiome; tool

SUMMARY The Collaborative ICPRS clinically-oriented predoctoral/postdoctoral administered development current proposal titled “Sequential Modeling for Prediction of Periodontal Disea ses: An I ntra- Practice-Based Research Study ( ICPRS)” is developed in response to RFA-DE-23-012 . The will seek to develop various tasks in 4 component sections. In Component 1 , we seek to train 10 faculty from Temple University Kornberg School of Dentistry (TUKSoD) nd ten students in Applied Clinica l Research by offering a graduate certificate program by the College of Public Health (CPH) on facilitating skills in applied patient-oriented research a . The 15-credit certificate will focus . In Component 2, we aim to strengthen collaborations between TUKSoD, CPH and the Medical School for faculty and student training, and overall research support for the execution of Component 4 of this proposal. Our proposed project was collaboratively developed by individuals with backgrounds in Periodontology, General and Oral Epidemiology, Oral Microbiome, Health Informatics, Biostatistics and Public Health, and Physicians who will assist in extracting medical metrics relevant to management of periodontal diseases (PD) from real-time medical records in the Pennsylvania Health Share Exchange (PA HSX). In Component 3, we aim to expand clinically-oriented faculty participation in grant funded research activities, in the annual research day, and in national research meetings by increasing the number of faculty-student mentoring partnerships to conduct small-scale research projects. Finally, in Component 4, we will develop longitudinal predictive models of PD incidence and progression using machine learning approaches and microbiome/metagenomic sequencing strategies. This component has the following aims: Aim1 seeks to develop clinical decision tools that utilize matched medical-dental patient datasets from TUKSoD and the PA HSX EHR records. Aim1a will focus on developing a Medical Continuity of Care Record (CCR) that will provide patients' up-to-date medical health metrics that can be used in the provision of care at the dental school. Using dental patient's matched records, Aim1b will build an AI Empowered Prediction Model for PD. Aim2 will build on findings from Aim1b to assess the potential of the subgingival and salivary microbiomes as additional predictors of PD incidence and progression. Aim 2a will validate a dysbiosis index, applied to both subgingival plaque and saliva samples, as a predictor of PD in a cohort study, while Aim2b will identify potential high resolution, salivary/plaque metagenomic biomarkers of PD progression via a nested case-control study. The proposed application builds on prior research conducted at TUKSoD and is directed towards increasing participation of clinically-oriented faculty and pre/postdoctoral dental students in the school's research activities, coupled with training in Applied Clinical Research including health informatics, opening a new pathway to further research in dental education as well as promote faculty professional development, expand the research academic workforce, and provide opportunities to conduct student-mentored practice-based research.

总结 的 协同 ICPRS 临床导向 博士前/博士后 施用 发展 目前的提案标题为“用于预测牙周病的顺序建模：一个新的， 根据RFA-DE-23-012开发了基于实践的研究（ICPRS）。的 将努力在4个组成部分中制定各种任务。在组件1中，我们寻求培训10名 坦普尔大学科恩伯格牙科学院（TUKSoD）的教师和10名 学生在应用临床l研究通过提供研究生证书课程 公共卫生学院（CPH）关于促进技能 在以病人为导向的应用研究中， 一 . 15学分证书将重点 .在第二部分，我们的目标是加强合作 TUKSoD，CPH和医学院之间的教师和学生培训，以及整体研究支持 用于执行本提案的组件4。我们提议的项目是由以下人员合作开发的 具有牙周病学、普通和口腔流行病学、口腔微生物组、健康 信息学、生物统计学和公共卫生，以及协助提取相关医疗指标的医生 从宾夕法尼亚州健康共享的实时医疗记录到牙周病（PD）的管理 Exchange（PA HSX）.在组件3中，我们的目标是扩大以临床为导向的教师参与赠款资助 在年度研究日和国家研究会议上， 教师和学生的指导伙伴关系，进行小规模的研究项目。最后，在组件4中，我们 将使用机器学习方法开发PD发病率和进展的纵向预测模型 和微生物组/宏基因组测序策略。这一部分的目标如下： 开发临床决策工具，利用来自TUKSoD和PA的匹配医疗-牙科患者数据集 HSX EHR记录。Aim 1a将重点开发医疗连续性护理记录（CCR）， 患者的最新医疗健康指标，可用于在牙科学校提供护理。使用 牙科患者的匹配记录，Aim 1b将为PD建立一个AI增强的预测模型。aim 2将构建 根据Aim 1b的发现，评估龈下和唾液微生物组作为额外 PD发病率和进展的预测因素。目标2a将验证一个生态失调指数，适用于两个龈下 在队列研究中，牙菌斑和唾液样本作为PD的预测因子，而Aim 2b将识别潜在的高 通过巢式病例对照研究，确定PD进展的唾液/斑块宏基因组生物标志物。的 拟议的应用建立在TUKSoD先前进行的研究基础上，旨在增加 临床导向的教师和前/博士后牙科学生在学校的研究活动的参与， 再加上包括健康信息学在内的应用临床研究培训，为进一步发展 研究口腔教育以及促进教师专业发展，扩大研究 学术劳动力，并提供机会进行学生指导的实践为基础的研究。