Cardiovascular Disease in Pregnancy and the Postpartum Period in Maryland
Cardiovascular Disease in Pregnancy and the Postpartum Period in Maryland
批准号:
10368078
负责人:
Andreea Alina Creanga
金额:
$8.19万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-04-01 至 2023-03-31
关键词:
AddressAffectAgeAlgorithmsApplications GrantsCardiovascular Diagnostic TechniquesCardiovascular DiseasesCause of DeathCenters for Disease Control and Prevention (U.S.)CharacteristicsDataDatabasesEmergency department visitEventFamilyFutureGoalsHealth Care CostsHeart failureHospitalizationHospitalsIncidenceInpatientsInvestigationLife Cycle StagesLiteratureMarylandMeasuresMediator of activation proteinModelingOutcome MeasurePathogenesisPatientsPatternPeer ReviewPilot ProjectsPopulation StudyPostpartum PeriodPostpartum WomenPre-EclampsiaPregnancyPregnancy OutcomePregnant WomenResearchRetrospective cohort studyReview LiteratureRiskRisk FactorsSamplingStatistical MethodsSurvival AnalysisTechniquesTimeUnited StatesUnited States Agency for Healthcare Research and QualityVisitWomanWomen&aposs Healthadverse pregnancy outcomebasecardiovascular disorder preventioncardiovascular disorder riskcardiovascular risk factorexperiencehealth care service utilizationhigh riskindexinginterestmeetingsmortalitypregnantprepregnancypreventreadmission ratesreproductivesevere maternal morbiditytherapy designtrend
中文摘要
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英文摘要
Cardiovascular disease (CVD) is the leading cause of pregnancy-related mortality and an important
contributor to severe maternal morbidity (SMM) in the United States. Both pregnancy-related mortality
and SMM have been increasing over the past two decades. This study will examine hospital encounters
with a CVD diagnosis in all women of reproductive age (15-49 years), with a subsequent focus on
pregnant and postpartum women. More specifically, we will explore relationships between pre-
pregnancy CVD, SMM and CVD beyond the postpartum period. We will use data from a family of
Maryland state databases that comprise the universe of hospital discharges and emergency
Department (ED) visits in the state during 2013-2019. Our primary analytic sample will be comprised of
all women of reproductive age with at least one hospital encounter (inpatient or ED visit) in Maryland
hospitals during this period; data from only women with one or more delivery hospitalizations during the
same period will comprise a secondary analytic sample. We will derive two outcome measures, a
primary and an associated CVD encounter measure, as well as SMM and CVD-SMM measures using
Centers for Disease Control and Prevention’s ICD-based algorithm. Following exploratory analyses, we
will use statistical methods developed specifically for use with longitudinal data to address our specific
aims. Of note, survival analysis techniques will be employed to examine time to hospital encounters
with CVD diagnosis for the various subpopulations of interest at different times of CVD risk during the
period of investigation; and, random effects models adjusted for key (time-varying) patient and hospital
characteristics will be fitted to examine whether a previous CVD hospital encounter or a significant
pattern of CVD hospital encounter predicts SMM/CVD-SMM during delivery vs. postpartum
hospitalizations, and whether SMM/CVD-SMM predicts a subsequent CVD hospital encounter. To our
knowledge, this will be the first population-based study to examine hospital encounters with a CVD
diagnosis in all women of reproductive age and also the first to explore relationships between pre-
pregnancy CVD, SMM and CVD beyond the postpartum period using a longitudinal approach. Our
results will be disseminated in the peer-reviewed literature and through presentations at scientific
meetings. This pilot study will provide preliminary data for larger grant applications aiming to design
interventions to prevent CVD in women over their life course.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1007/s11883-022-01026-6
发表时间:
2022-07
期刊:
CURRENT ATHEROSCLEROSIS REPORTS
影响因子:
5.8
作者:
[Thakkar, Aarti, Hailu, Tigist, Blumenthal, Roger S., Martin, Seth S., Harrington, Colleen M., Yeh, Doreen DeFaria, French, Katharine A., Sharma, Garima]
通讯作者:
Sharma, Garima
Developing a refined comorbidity index for use in obstetric patients
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批准号:10719480
-
项目类别:
-
资助金额:$57.04万
-
财政年份:2023
-
负责人:Andreea Alina Creanga
-
依托单位:
Maternal Health Data Innovation and Coordination Hub
-
批准号:10748737
-
项目类别:
-
资助金额:$200.0万
-
财政年份:2023
-
负责人:Andreea Alina Creanga
-
依托单位:
Cardiovascular Disease in Pregnancy and the Postpartum Period in Maryland
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批准号:10195079
-
项目类别:
-
资助金额:$8.19万
-
财政年份:2021
-
负责人:Andreea Alina Creanga
-
依托单位:
Use of a machine learning framework to predict severe maternal morbidity
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批准号:9767258
-
项目类别:
-
资助金额:$8.19万
-
财政年份:2018
-
负责人:Andreea Alina Creanga
-
依托单位:
海外基金