Publications by authors named "Amy Krefman"

Combining pertinent data from multiple studies can increase the robustness of epidemiological investigations. Effective "pre-statistical" data harmonization is paramount to the streamlined conduct of collective, multi-study analysis. Harmonizing data and documenting decisions about the transformations of variables to a common set of categorical values and measurement scales are time consuming and can be error prone, particularly for numerous studies with large quantities of variables.

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Article Synopsis
  • Longitudinal risk factor levels and patterns may provide better insights into atherosclerotic cardiovascular disease (ASCVD) risk than single, cross-sectional measures used in current clinical assessments.
  • The study compared the traditional Pooled Cohort Equations (PCE) with a deep learning model called Dynamic-DeepHit, analyzing data from over 15,000 participants over 8 years to assess the effectiveness of each model in predicting ASCVD risk.
  • Results showed that the deep learning model outperformed the PCE in terms of both prediction accuracy (AUROC score) and reliability (Brier score), suggesting that incorporating longitudinal data can enhance ASCVD risk prediction.
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Article Synopsis
  • Traditional risk assessment for atherosclerotic cardiovascular disease (ASCVD) typically relies on single, cross-sectional risk factor measurements, but continuous monitoring of these factors over time may provide better insights into a patient's risk.
  • A study involving 15,565 participants found that a deep learning model that uses 8 years of longitudinal risk factor data outperformed the existing Pooled Cohort Equations (PCE) in predicting ASCVD risk, demonstrating improved accuracy and reclassification.
  • The results suggest that integrating longitudinal data into ASCVD risk prediction models enhances their effectiveness, paving the way for better preventive care strategies.
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Introduction: Clinical cardiovascular health is a construct that includes 4 health factors-systolic and diastolic blood pressure, fasting glucose, total cholesterol, and body mass index-which together provide an evidence-based, more holistic view of cardiovascular health risk in adults than each component separately. Currently, no pediatric version of this construct exists. This study sought to develop sex-specific charts of clinical cardiovascular health for age to describe current patterns of clinical cardiovascular health throughout childhood.

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Background: The burden of cardiovascular disease (CVD) is particularly high in several US states, which include the state of Michigan. Hypertension and smoking are two major risk factors for mortality due to CVD. Rural Michigan is disproportionally affected by CVD and by primary care shortages.

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Background: Although blood pressure (BP) increases throughout young adulthood for most individuals, the age-related slope is not uniform. This study aimed to assess associations of demographic, clinical, behavioral, psychosocial, and neighborhood characteristics with age-related BP slope among 4 race-sex groups who participated in the Coronary Artery Risk Development in Young Adults study.

Methods: Individuals (n=3554) aged 18 to 30 years were included in this analysis if they had normal BP at baseline and ≥2 BP measurements during the years 1985/1986 to 2015/2016.

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Purpose: Many children have non-ideal cardiovascular health (CVH), but little is known about the course of CVH in early childhood. We identified CVH trajectories in children and assess the generalizability of these trajectories in an external sample.

Methods: We used data spanning 2010-2018 from children aged 2-12 years within the Chicago Area Patient-Centered Outcomes Research Network-an electronic health record network.

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Objective: Electronic health record (EHR) data are a valuable resource for population health research but lack critical information such as relationships between individuals. Emergency contacts in EHRs can be used to link family members, creating a population that is more representative of a community than traditional family cohorts.

Materials And Methods: We revised a published algorithm: relationship inference from the electronic health record (RIFTEHR).

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Indices of cardiac structure and function, such as left ventricular (LV) mass and ejection fraction, have been associated with risk of incident heart failure (HF), but the clinical relevance of data-driven grouping of a comprehensive set of cardiac parameters is unclear. In Multi-Ethnic Study of Atherosclerosis participants, latent class analysis was applied in the sample stratified by gender to define phenogroups on the basis of cardiovascular magnetic resonance imaging parameters of right ventricular and LV structure and function at baseline. Cox proportional hazard models in gender-stratified analyses were used to assess the association between phenogroup membership and risk of HF subtypes adjusting for potential confounders.

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Background: Cardiovascular health (CVH) from young adulthood is strongly associated with an individual's future risk of cardiovascular disease (CVD) and total mortality. Defining epigenomic biomarkers of lifelong CVH exposure and understanding their roles in CVD development may help develop preventive and therapeutic strategies for CVD.

Methods: In 1085 CARDIA study (Coronary Artery Risk Development in Young Adults) participants, we defined a clinical cumulative CVH score that combines body mass index, blood pressure, total cholesterol, and fasting glucose measured longitudinally from young adulthood through middle age over 20 years (mean age, 25-45).

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Importance: Abundant evidence links obesity with adverse health consequences. However, controversies persist regarding whether overweight status compared with normal body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) is associated with longer survival and whether this occurs at the expense of greater long-term morbidity and health care expenditures.

Objective: To examine the association of BMI in midlife with morbidity burden, longevity, and health care expenditures in adults 65 years and older.

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Background: Geographic heterogeneity in COVID-19 outcomes in the United States is well-documented and has been linked with factors at the county level, including sociodemographic and health factors. Whether an integrated measure of place-based risk can classify counties at high risk for COVID-19 outcomes is not known.

Methods: We conducted an ecological nationwide analysis of 2,701 US counties from 1/21/20 to 2/17/21.

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Introduction: Childhood declines in cardiovascular health have been linked to the development of subclinical atherosclerosis; however, less is known about the timing and sequence of the decline of the specific cardiovascular health components. The study objective is to identify the patterns of decline and associations with adulthood subclinical atherosclerosis.

Methods: Data were pooled from 5 cardiovascular cohorts.

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Background: For most individuals, blood pressure (BP) is related to multiple risk factors. By utilizing the decision tree analysis technique, this study aimed to identify the best discriminative risk factors and interactions that are associated with maintaining normal BP over 30 years and to reveal segments of a population with a high probability of maintaining normal BP.

Methods: Participants from the Coronary Artery Risk Development in Young Adults study aged 18-30 years with normal BP level at baseline visit (Y0, 1985-1986) were included in this study.

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The prevalence of ideal cardiovascular health (CVH) among adults in the United States is low and decreases with age. Our objective was to identify specific age windows when the loss of CVH accelerates, to ascertain preventive opportunities for intervention. Data were pooled from 5 longitudinal cohorts (Project Heartbeat!, Cardiovascular Risk in Young Finns Study, The Bogalusa Heart Study, Coronary Artery Risk Development in Young Adults, Special Turku Coronary Risk Factor Intervention Project) from the United States and Finland from 1973 to 2012.

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We developed and validated a synthetic cohort approach to examine numbers of cardiovascular risk factors (CRFs) and adverse clinical events, including incident cardiovascular disease and all-cause mortality, across the life span from ages 20 years to 90 years. The current analysis included 40,875 participants from 7 large, population-based longitudinal epidemiologic studies (1948-2016). On the basis of a joint multilevel imputation model, we multiply imputed each participant's life-span numbers of CRFs and events using available records.

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Importance: Cross-sectional measures of cardiovascular health (CVH) have been associated with cardiovascular disease in older age, but little is known about longitudinal trajectories in CVH and their association with subclinical atherosclerosis in middle age.

Objectives: To model long-term patterns in CVH starting in childhood and to assess their association with subclinical atherosclerosis in middle age.

Design, Setting, And Participants: This cohort study used data from 5 prospective cardiovascular cohort studies from the United States and Finland from 1973 to 2015.

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Background The risk of coronary heart disease remains low in Japan, although distributions of several coronary risk factors have become comparable with those in the United States. We prospectively compared coronary atherosclerosis burden, measured with coronary artery calcium (CAC) progression, between men in the 2 countries. Methods In 2 population-based samples of 1712 US White, Black, Hispanic, Chinese men (baseline, 2000-2002) and 697 Japanese men in Japan (2006-2008) aged 45-74 years without clinical cardiovascular disease, we quantified CAC progression by serial computed tomography with medians of 3.

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Objectives To estimate the associations of moderate and vigorous intensity exercise during pregnancy with the rate of gestational weight gain (GWG) from gestational diabetes (GDM) diagnosis to delivery, overall and stratified by prepregnancy overweight/obesity. Methods Prospective cohort study with physical activity reported shortly after the GDM diagnosis and prepregnancy weight and post-diagnosis GWG obtained from electronic health records (n = 1055). Multinomial logistic regression models in the full cohort and stratified by prepregnancy overweight/obesity estimated associations of moderate and vigorous intensity exercise with GWG below and above the Institute of Medicine's (IOM) prepregnancy BMI-specific recommended ranges for weekly rate of GWG in the second and third trimesters.

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