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.

摘要 该应用程序旨在开发、改进和扩展多平台临床决策支持系统 （CDSS）用于医生的肺动脉高压（PAH），PHORA（肺动脉高压 结果风险评估），可用于成人和儿童：a）指导治疗决策 和B）优化临床试验设计。我们将通过利用几个大型临床试验数据来实现这一目标。 PAH中已完成试验的数据库、正在进行的成人和儿童PAH登记研究和生物库。拟议 旨在共同创建CDSS与专业的多学科组，包括：生物医学工程， 高级PAH、计算机科学（机器学习/数据挖掘）、人机交互和姑息治疗 护理专家我们的意图是让所有利益攸关方参与进来，以达成共识，从而确保 将PHORA付诸实践。该项目的成功完成将为 前瞻性、多中心META登记研究，其中将评价PHORA的最佳建模 实践干预措施，改善患者的长期结局。最终目的是传播这一点， 以提高PAH治疗的效率、疗效和成本效益。