PHORA-Pulmonary Hypertension Outcome Risk Assessment

PHORA-肺动脉高压结果风险评估

• 批准号: 10504254
• 负责人: Ayesha Hasan
• 金额: $ 72.14万
• 依托单位: OHIO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10504254
• 关键词: Academia; Adult; Bayesian Modeling; Behavior; Behavioral; Benchmarking; Biological Markers; Biomedical Engineering; Cardiovascular Pathology; Caring; Child; Childhood; Clinical; Clinical Decision Support Systems; Clinical Trials; Clinical Trials Design; Communities; Complex; Consensus; Data; Data Element; Data Set; Databases; Derivation procedure; Development; Discrimination; Disease; Disease Progression; Feedback; Fingerprint; Foundations; Future; Generations; Genomics; Goals; Image; Image Enhancement; Individual; Industry; Intention; Intervention; Machine Learning; Modeling; Modernization; Monitor; Nature; Outcome; Palliative Care; Pathway interactions; Patient risk; Patient-Focused Outcomes; Patients; Pattern; Pediatrics; Performance; Pharmacologic Substance; Phenotype; Physicians; Population; Prognosis; Provider; Publications; Pulmonary Heart Disease; Pulmonary Hypertension; Quality of life; Randomized Clinical Trials; Registries; Resources; Risk; Risk Assessment; Sensitivity and Specificity; Standardization; Statistical Models; Testing; Therapeutic; Training; Treatment Effectiveness; Update; Validation; Vascular remodeling; Work; base; behavioral outcome; biobank; clinical practice; clinical predictors; cohort; computer human interaction; computer science; cost; cost effectiveness; data mining; data registry; diagnostic tool; genomic data; hypertension treatment; imaging biomarker; improved; individualized medicine; intervention cost; machine learning method; medical specialties; multidisciplinary; neglect; next generation; novel marker; outcome prediction; patient subsets; prediction algorithm; prognostic; prospective; provider adoption; provider behavior; pulmonary arterial hypertension; response; risk prediction; risk stratification; support tools; survival prediction; tool; treatment response; uptake

ABSTRACT This application seeks to develop improve and expand a multi-platform clinical decision support system (CDSS) in pulmonary arterial hypertension (PAH) for physicians, PHORA (Pulmonary Hypertension Outcomes Risk Assessment), which can be used in adults and children to: a) guide therapeutic decisions and b) optimize clinical trial design. We will achieve this goal by utilizing clinical trial data from several large databases of completed trials in PAH, ongoing adult and Pediatric PAH registries and Biobanks. The proposed aims co-create the CDSS with a multi-disciplinary group of specialties including: biomedical engineering, advanced PAH, computer science (machine learning/data mining), human computer interaction, and palliative care experts. Our intention is to engage all stakeholders to achieve consensus and thereby assure the acceptance of PHORA into practice. Successful completion of this project will lay the foundation for a prospective, multi-center META-Registry in which PHORA will be evaluated with respect to modeling best practice interventions leading to improved long-term patient outcomes. The ultimate aim is to disseminate this resource so as to improve the efficiency, efficacy, and cost-effectiveness of this treatment for PAH.

抽象的 该应用程序旨在发展改进和扩展多平台临床决策支持系统 （CDS）在医生的肺动脉高压（PAH）中（肺高血压） 结果风险评估），可以在成人和儿童中使用：a）指导治疗决定 b）优化临床试验设计。我们将通过利用来自几个大型大型的临床试验数据来实现这一目标 PAH，正在进行的成人和小儿PAH注册机构和生物库的完整试验数据库。提议 Aims与多学科专业组共同创建CDSS，包括：生物医学工程， 高级PAH，计算机科学（机器学习/数据挖掘），人类计算机互动和姑息 护理专家。我们的目的是让所有利益相关者达成共识，从而确保 接受Phora实践。成功完成该项目将为 预期的，多中心的元注册，其中将评估Phora关于最佳建模 练习干预措施可改善长期患者的预后。最终的目的是传播 资源以提高这种治疗PAH的效率，功效和成本效益。