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Patient Level Prediction of Clinical Outcomes and Cost-Effectiveness in SPRINT (Optimize-SPRINT)

Patient Level Prediction of Clinical Outcomes and Cost-Effectiveness in SPRINT (Optimize-SPRINT)
SPRINT 中临床结果和成本效益的患者水平预测 (Optimize-SPRINT)
批准号:
10083758
负责人:
Adam P Bress
金额:
$76.27万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-12-15 至 2023-11-30

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中文摘要
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英文摘要
Project Summary About 80 million U.S. adults have hypertension, and hypertension treatment costs the nation about $80 billion annually. Effective and inexpensive antihypertensive medications are available, but many patients remain inadequately treated. The Systolic Blood Pressure Intervention Trial (SPRINT) showed that in high CVD risk patients intensive treatment to a lower systolic blood pressure (SBP, <120 mm Hg) reduced CVD risk and all- cause mortality compared to standard treatment (SBP <140 mm Hg). We estimated that 16.8 million adults in the US meet the SPRINT eligibility criteria. Given this large number of eligible patients and the additional resources (e.g., health care provider time, laboratory visits) required to deliver intensive treatment, we need a method for selecting “high-value” patients most likely to benefit safely from intensive SBP treatment. Optimize-SPRINT is a SPRINT ancillary study. Optimize-SPRINT will apply predictive modeling methods to SPRINT to build a clinical decision tool that will be able to select optimal patients (e.g., high absolute benefit and cost-effectiveness) for intensive SBP treatment both at the point of care (for health care providers and patients) and in the population (for private health system and government payers). Our innovative predication modeling methods will identify the highest benefit patients underlying the average summary treatment effect reported from SPRINT, while preserving the advantages of SPRINT's randomized design. We aim to: • Develop and validate a predictor of clinical benefit with intensive SBP treatment (SPRINT Clinical Benefit Tool) using baseline characteristics. • Determine cost-effectiveness of intensive versus standard SBP treatment in SPRINT overall and by level of predicted SPRINT clinical benefit, and predict cost-effectiveness of intensive SBP treatment based on baseline characteristics. • Determine the population health impact of implementing intensive SBP treatment based on predicted SPRINT Clinical Benefit and cost-effectiveness. Relevance: The results of this study may change the way health care providers, payers, and clinical guideline makers treat hypertension in the US and abroad. This study will inform treatment choice decisions by health care providers and patients, and improve implementation strategies for private and government payers.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
An efficient approach for optimizing the cost-effective individualized treatment rule using conditional random forest.
使用条件随机森林优化具有成本效益的个体化治疗规则的有效方法。
DOI: 10.1177/09622802221115876
发表时间: 2022
期刊: Statistical methods in medical research
影响因子: 2.3
作者: [Xu,Yizhe, Greene,TomH, Bress,AdamP, Bellows,BrandonK, Zhang,Yue, Zhang,Zugui, Kolm,Paul, Weintraub,WilliamS, Moran,AndrewS, Shen,Jincheng]
通讯作者: Shen,Jincheng
Patient Selection for Intensive Blood Pressure Management Based on Benefit and Adverse Events.
基于益处和不良事件的患者选择强化血压管理。
DOI: 10.1016/j.jacc.2021.02.058
发表时间: 2021-04-27
期刊: Journal of the American College of Cardiology
影响因子: 24
作者: [Bress AP, Greene T, Derington CG, Shen J, Xu Y, Zhang Y, Ying J, Bellows BK, Cushman WC, Whelton PK, Pajewski NM, Reboussin D, Beddu S, Hess R, Herrick JS, Zhang Z, Kolm P, Yeh RW, Basu S, Weintraub WS, Moran AE, SPRINT Research Group]
通讯作者: SPRINT Research Group
Guiding next steps for SPRINT-MIND implementation: Identifying high-benefit subgroups and comparative effects of ARB- vs. ACEI-based regimens
  • 批准号:
    10392453
  • 项目类别:
  • 资助金额:
    $67.38万
  • 财政年份:
    2020
  • 负责人:
    Adam P Bress
  • 依托单位:
海外基金