Pharmacokinetics and modeling of betamethasone therapy in threatened preterm birth
先兆早产倍他米松治疗的药代动力学和模型
基本信息
- 批准号:9123871
- 负责人:
- 金额:$ 46.18万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-03-01 至 2021-02-28
- 项目状态:已结题
- 来源:
- 关键词:AddressAdrenal Cortex HormonesAdvocateAffectBetamethasoneBiological MarkersBirth WeightClinicalClinical TrialsDataDemographic FactorsDevelopmentDiscipline of obstetricsDoseDrug KineticsEpidemicExposure toFoundationsGeneticGenetic PolymorphismGenotypeGestational AgeGoalsInterdisciplinary StudyInterventionInvestigationLeadLifeMeasurementModelingNeonatalNeonatal MortalityObesityObstetric Fetal PharmacologyOutcomeParticipantPathway interactionsPatientsPharmaceutical PreparationsPharmacodynamicsPharmacogeneticsPharmacotherapyPopulation HeterogeneityPregnancyPregnant WomenPremature BirthPremature InfantPreventionPublic HealthRecruitment ActivityRegimenResearchResearch InfrastructureRiskSafetyScheduleScourgeSteroidsStudy modelsTestingTherapeuticTherapeutic UsesUnited StatesVariantWomanWorkadverse outcomecohortdisparity reductionethnic differencegenetic analysisimprovedinnovationneonatal morbidityneonatal outcomeneonatal respiratory distressneonatenoveloffspringpersonalized approachpersonalized medicinepersonalized therapeuticpharmacokinetic modelpredictive modelingprematureprogramspublic health relevancerandomized trialrespiratoryrespiratory distress syndromeresponsestandard of care
项目摘要
DESCRIPTION (provided by applicant): The purpose and long-term goal of this application is to optimize maternal and neonatal outcomes by individualizing antenatal corticosteroid therapy. Focusing on betamethasone (BMZ), we hypothesize that by better understanding the disposition and action of antenatal corticosteroids, we will be able to develop an individualized dosing strategy for BMZ that will improve neonatal outcomes and safety. The objective of this study is to fully interrogate the disposition, efficacy, and safety of BMZ to improve its therapeutic use an resolve efficacy discrepancies. We will accomplish this through two specific aims: 1) We will characterize the pharmacokinetics and the pharmacogenetic variations that may lead to altered neonatal outcomes in response to antenatal corticosteroids; and 2) We will develop a novel personalized therapeutic model aimed at reducing disparities and optimizing neonatal outcomes. A collaborative multidisciplinary research team with the necessary expertise required to complete these studies is in place. To accomplish these aims we will utilize our successful subject recruitment infrastructure to recruit a cohort of women presenting for BMZ therapy due to anticipated preterm birth. The research will generate data aimed at maximizing the neonatal benefits from BMZ. The individualized therapeutic model created then can be validated and tested in a clinical trial. This individualized approach to treatment would have a significant impact on the therapy of a large number of babies born prematurely who may be inadequately treated by the current dosing standard. The proposal is innovative in that it would be one of the first obstetric pharmacokinetic/pharmacodynamic/pharmacogenetic modeling studies to address outcome disparities from antenatal corticosteroids and would combine the genetic data with pharmacokinetic measurements to allow better understanding of the drug response in these patients. This program of research also has great potential to serve as a template for more informed individualized pharmacotherapy investigations for a wide range of pregnancy conditions.
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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DAVID M. HAAS其他文献
DAVID M. HAAS的其他文献
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{{ truncateString('DAVID M. HAAS', 18)}}的其他基金
Machine learning approaches towards risk assessment and prediction of adverse pregnancy outcomes
用于风险评估和预测不良妊娠结局的机器学习方法
- 批准号:
10226370 - 财政年份:2020
- 资助金额:
$ 46.18万 - 项目类别:
Machine learning approaches towards risk assessment and prediction of adverse pregnancy outcomes
用于风险评估和预测不良妊娠结局的机器学习方法
- 批准号:
10453757 - 财政年份:2020
- 资助金额:
$ 46.18万 - 项目类别:
Machine learning approaches towards risk assessment and prediction of adverse pregnancy outcomes
用于风险评估和预测不良妊娠结局的机器学习方法
- 批准号:
10063323 - 财政年份:2020
- 资助金额:
$ 46.18万 - 项目类别:
Pharmacokinetics and modeling of betamethasone therapy in threatened preterm birth
先兆早产倍他米松治疗的药代动力学和模型
- 批准号:
10174278 - 财政年份:2016
- 资助金额:
$ 46.18万 - 项目类别:
Pharmacokinetics and modeling of betamethasone therapy in threatened preterm birth
先兆早产倍他米松治疗的药代动力学和模型
- 批准号:
9888973 - 财政年份:2016
- 资助金额:
$ 46.18万 - 项目类别:
Pregnancy as a Window to Future Cardiovascular Health
怀孕是未来心血管健康的窗口
- 批准号:
8576062 - 财政年份:2013
- 资助金额:
$ 46.18万 - 项目类别:
Dissecting the Genetic Etiology of Preterm Birth in Nulliparous Women
剖析未产妇早产的遗传病因
- 批准号:
8013029 - 财政年份:2010
- 资助金额:
$ 46.18万 - 项目类别:
Dissecting the Genetic Etiology of Preterm Birth in Nulliparous Women
剖析未产妇早产的遗传病因
- 批准号:
8204688 - 财政年份:2010
- 资助金额:
$ 46.18万 - 项目类别:
Dissecting the Genetic Etiology of Preterm Birth in Nulliparous Women
剖析未产妇早产的遗传病因
- 批准号:
8605888 - 财政年份:2010
- 资助金额:
$ 46.18万 - 项目类别:














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