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  • 1
    Online Resource
    Online Resource
    Abstract 13675: Patient Awareness and Provider Counseling on Adverse Pregnancy Outcomes and Cardiovascular Risk - Insights From American Heart Association Research Goes Red Registry
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Circulation Vol. 146, No. Suppl_1 ( 2022-11-08)
    Details
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 146, No. Suppl_1 ( 2022-11-08)
    Abstract: Introduction: Adverse pregnancy outcomes (APOs) are associated with long-term cardiovascular (CV) risk. This study aimed to identify awareness of the association of APOs with CV risk among patients and to determine whether care providers assessed pregnancy history and counseled on the association of APOs with CV risk during patient visits. Methods: We used data from participants enrolled in the AHA Research Goes Red Registry, an online research platform powered by Verily, who responded to the Fertility and Pregnancy Survey. Among them, 1,499 were postmenopausal (mean age 54.7 ± 7.8 years). We focused on three specific questions related to the goals of this study. We summarized responses using proportions, for the overall sample and by race and income, and tested differences using the Chi-squared test. Significance was set at p 〈 0.05. Results: A total of 828 participants answered the question on awareness of the association of APOs with CV health. Of them, 35% were unaware of this association, with significant differences by race (p=0.019) ( Fig 1A ). Among 815 women who responded to the question on whether their care providers took pregnancy history during visits, 35% stated that their providers did not. The percentage varied significantly by income level, with highest percentage among women with an annual income 〈 $50,000 and the lowest in those with an income ≥$200,000 (p=0.037) ( Fig 1B ). Notably, pregnancy history was not taken by providers in 1 in 2 Asian women ( Fig 1C ). Among 813 women who answered the question on provider counseling on the association of APOs with CV risk, 71% reported that their care providers did not educate them on this association, with no significant differences by race or income. Conclusions: In this contemporary cohort, considerable knowledge gaps exist on the association of APOs with CV risk, with disparities by race. Also, most women are not educated on this association by their care providers. These data suggest the need for more education on APOs and CV.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    URL: Article
    DOI: 10.1161/circ.146.suppl_1.13675
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 1466401-X
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  • 2
    Online Resource
    Online Resource
    Research Goes Red: Early Experience With a Participant-Centric Registry
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Circulation Research Vol. 130, No. 3 ( 2022-02-04), p. 343-351
    Details
    In: Circulation Research, Ovid Technologies (Wolters Kluwer Health), Vol. 130, No. 3 ( 2022-02-04), p. 343-351
    Abstract: Cardiovascular disease remains the leading cause of death in women. To address its determinants including persisting cardiovascular risk factors amplified by sex and race inequities, novel personalized approaches are needed grounded in the engagement of participants in research and prevention. Objective: To report on a participant-centric and personalized dynamic registry designed to address persistent gaps in understanding and managing cardiovascular disease in women. Methods and Results: The American Heart Association and Verily launched the Research Goes Red registry (RGR) in 2019, as an online research platform available to consenting individuals over the age of 18 years in the United States. RGR aims to bring participants and researchers together to expand knowledge by collecting data and providing an open-source longitudinal dynamic registry for conducting research studies. As of July 2021, 15 350 individuals have engaged with RGR. Mean age of participants was 48.0 48.0±0.2 years with a majority identifying as female and either non-Hispanic White (75.7%) or Black (10.5%). In addition to 6 targeted health surveys, RGR has deployed 2 American Heart Association-sponsored prospective clinical studies based on participants’ areas of interest. The first study focuses on perimenopausal weight gain, developed in response to a health concerns survey. The second study is designed to test the use of social media campaigns to increase awareness and participation in cardiovascular disease research among underrepresented millennial women. Conclusions: RGR is a novel online participant-centric platform that has successfully engaged women and provided critical data on women’s heart health to guide research. Priorities for the growth of RGR are centered on increasing reach and diversity of participants, and engaging researchers to work within their communities to leverage the platform to address knowledge gaps and improve women’s health.
    Type of Medium: Online Resource
    ISSN: 0009-7330 , 1524-4571
    URL: Article
    DOI: 10.1161/CIRCRESAHA.121.320403
    RVK:
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    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 1467838-X
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  • 3
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    Reproductive Experiences and Cardiovascular Disease Care in Pregnancy-Capable and Postmenopausal Individuals: Insights From the American Heart Association Research Goes Red Registry
    Elsevier BV ; 2023
    In:  Current Problems in Cardiology Vol. 48, No. 10 ( 2023-10), p. 101853-
    Details
    In: Current Problems in Cardiology, Elsevier BV, Vol. 48, No. 10 ( 2023-10), p. 101853-
    Type of Medium: Online Resource
    ISSN: 0146-2806
    URL: Article
    DOI: 10.1016/j.cpcardiol.2023.101853
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2060920-6
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  • 4
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    Longitudinal Trends in Cardiovascular Risk Factor Profiles and Complications Among Patients Hospitalized for COVID-19 Infection: Results From the American Heart Association COVID-19 Cardiovascular Disease Registry
    Ovid Technologies (Wolters Kluwer Health) ; 2023
    In:  Circulation: Cardiovascular Quality and Outcomes Vol. 16, No. 5 ( 2023-05)
    Details
    In: Circulation: Cardiovascular Quality and Outcomes, Ovid Technologies (Wolters Kluwer Health), Vol. 16, No. 5 ( 2023-05)
    Abstract: The COVID-19 pandemic has evolved through multiple phases characterized by new viral variants, vaccine development, and changes in therapies. It is unknown whether rates of cardiovascular disease (CVD) risk factor profiles and complications have changed over time. Methods: We analyzed the American Heart Association COVID-19 CVD registry, a national multicenter registry of hospitalized adults with active COVID-19 infection. The time period from April 2020 to December 2021 was divided into 3-month epochs, with March 2020 analyzed separately as a potential outlier. Participating centers varied over the study period. Trends in all-cause in-hospital mortality, CVD risk factors, and in-hospital CVD outcomes, including a composite primary outcome of cardiovascular death, cardiogenic shock, new heart failure, stroke, and myocardial infarction, were evaluated across time epochs. Risk-adjusted analyses were performed using generalized linear mixed-effects models. Results: A total of 46 007 patient admissions from 134 hospitals were included (mean patient age 61.8 years, 53% male, 22% Black race). Patients admitted later in the pandemic were younger, more likely obese, and less likely to have existing CVD ( P trend ≤0.001 for each). The incidence of the primary outcome increased from 7.0% in March 2020 to 9.8% in October to December 2021 (risk-adjusted P trend =0.006). This was driven by an increase in the diagnosis of myocardial infarction and stroke ( P trend 〈 0.0001 for each). The overall rate of in-hospital mortality was 14.2%, which declined over time (20.8% in March 2020 versus 10.8% in the last epoch; adjusted P trend 〈 0.0001). When the analysis was restricted to July 2020 to December 2021, no temporal change in all-cause mortality was seen (adjusted P trend =0.63). Conclusions: Despite a shifting risk factor profile toward a younger population with lower rates of established CVD, the incidence of diagnosed cardiovascular complications of COVID increased from the onset of the pandemic through December 2021. All-cause mortality decreased during the initial months of the pandemic and thereafter remained consistently high through December 2021.
    Type of Medium: Online Resource
    ISSN: 1941-7713 , 1941-7705
    URL: Article
    DOI: 10.1161/CIRCOUTCOMES.122.009652
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 2453882-6
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  • 5
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    Facilitating Harmonization of Variables in Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository
    Ovid Technologies (Wolters Kluwer Health) ; 2023
    In:  Circulation: Cardiovascular Quality and Outcomes Vol. 16, No. 11 ( 2023-11)
    Details
    In: Circulation: Cardiovascular Quality and Outcomes, Ovid Technologies (Wolters Kluwer Health), Vol. 16, No. 11 ( 2023-11)
    Abstract: High-quality research in cardiovascular prevention, as in other fields, requires inclusion of a broad range of data sets from different sources. Integrating and harmonizing different data sources are essential to increase generalizability, sample size, and representation of understudied populations—strengthening the evidence for the scientific questions being addressed. METHODS: Here, we describe an effort to build an open-access repository and interactive online portal for researchers to access the metadata and code harmonizing data from 4 well-known cohort studies—the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study, FHS (Framingham Heart Study), MESA (Multi-Ethnic Study of Atherosclerosis), and ARIC (Atherosclerosis Risk in Communities) study. We introduce a methodology and a framework used for preprocessing and harmonizing variables from multiple studies. RESULTS: We provide a real-case study and step-by-step guidance to demonstrate the practical utility of our repository and interactive web page. In addition to our successful development of such an open-access repository and interactive web page, this exercise in harmonizing data from multiple cohort studies has revealed several key themes. These themes include the importance of careful preprocessing and harmonization of variables, the value of creating an open-access repository to facilitate collaboration and reproducibility, and the potential for using harmonized data to address important scientific questions and disparities in cardiovascular disease research. CONCLUSIONS: By integrating and harmonizing these large-scale cohort studies, such a repository may improve the statistical power and representation of understudied cohorts, enabling development and validation of risk prediction models, identification and investigation of risk factors, and creating a platform for racial disparities research. REGISTRATION: URL: https://precision.heart.org/duke-ninds .
    Type of Medium: Online Resource
    ISSN: 1941-7713 , 1941-7705
    URL: Article
    DOI: 10.1161/CIRCOUTCOMES.123.009938
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 2453882-6
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  • 6
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    Abstract 10406: Longitudinal Trends in Cardiovascular Complications Among Patients Hospitalized for Covid-19 Infection: A National Multi-Center Analysis
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Circulation Vol. 146, No. Suppl_1 ( 2022-11-08)
    Details
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 146, No. Suppl_1 ( 2022-11-08)
    Abstract: Introduction: COVID-19 is associated with multiple cardiovascular disease (CVD) complications, while pre-existing CVD and CVD risk factors increase the risk of severe COVID. The COVID-19 pandemic has evolved through multiple phases characterized by new viral variants, vaccine development, and changes in therapies. It is unknown whether rates of CVD complications or risk factor profiles of hospitalized patients have changed over the course of the pandemic. Methods: We analyzed the AHA COVID-19 CVD registry, a national multi-center registry of hospitalized adults with active COVID-19 infection. Data from March 2020 were excluded, and subsequent periods from April 2020 to December 2021 were divided into 3-month epochs. Trends in CVD risk factors and CVD outcomes, including a composite primary outcome of CVD death, cardiogenic shock, new heart failure (HF), stroke, and MI, were evaluated across epochs. Results: 39,961 patients were included. Mean age was 62±18 years during the first epoch and remained consistent through March 2021, after which it decreased and remained stable (55±18 years by the last epoch; p trend 〈 0.001). Patients admitted later in the pandemic were more likely to be obese and less likely to have existing CVD (p trend 〈 0.001 for each). The incidence of the primary outcome (Figure) increased from 7.2% to 9.8% from the first to the last epoch (p trend 〈 0.001). This was driven by an increase in the diagnosis of MI and stroke. Diagnosed pulmonary embolism also rose from 1.9% to 4.7% over the study period (p trend 〈 0.001). There was no consistent trend in the rates of new HF, cardiogenic shock, or CVD mortality, all of which were uncommon, occurring in ≤2% of the overall study population. Conclusions: Despite a shifting risk factor profile towards a younger population with lower rates of established CVD, the incidence of diagnosed CVD complications among patients hospitalized for COVID-19 increased over the course of the pandemic.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    URL: Article
    DOI: 10.1161/circ.146.suppl_1.10406
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
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  • 7
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    Abstract 11199: Disparities in Screening for Postpartum Depression - Insights From American Heart Association Research Goes Red Registry
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Circulation Vol. 146, No. Suppl_1 ( 2022-11-08)
    Details
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 146, No. Suppl_1 ( 2022-11-08)
    Abstract: Introduction: Postpartum depression (PPD) affects 1 in 5 women in the United States and is associated with cardiovascular disease. Disparities in PPD screening have not been well studied. We investigated the level of self-reported screening, diagnosis of PPD, and disparities in screening. Methods: We utilized data from participants enrolled in the AHA Research Goes Red Registry, an online research platform powered by Verily, who responded to the Fertility and Pregnancy survey. Of the 3128 women who had responded as of May 2022, 311 participants were self-identified as postpartum women and were included in this analysis. The definition of postpartum in the survey was “I have been pregnant within the last 12 months ”. The survey included questions on PPD screening and diagnosis. We used chi-squared testing to examine differences by race-ethnicity, education, income, and proximity to healthcare in PPD screening. Results: Among the 311 postpartum women (mean age: 33.3 ± 4.8 years), 83% recalled being screened for PPD. Of the 311 women, 15% reported a diagnosis of PPD, of which 92% received treatment. There were no significant differences in PPD screening by race-ethnicity: non-Hispanic White (82%), non-Hispanic Black (83%), Asian (88%), Hispanic (80%) (p=0.91), possibly limited by sample size (Fig 1a). Similarly, there were no significant differences by educational status (p=0.22) (Fig 1b) or income (p=0.53) (Fig 1c). Women who lived in a big city with access to many hospitals had higher proportion of screening (88%), while rural area dwellers had the least (74%, p=0.54) (Fig 1d). Conclusion: Among this multiracial cohort of postpartum women, the prevalence of self-reported screening and diagnosis of PPD was 83% and 15%, respectively. The prevalence of screening did not significantly differ by race-ethnicity, education, income, and proximity to healthcare. Future larger studies were suggested to explore screening of PPD by race and other social determinants of health.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    URL: Article
    DOI: 10.1161/circ.146.suppl_1.11199
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
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  • 8
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    Abstract WP236: Harmonization of Stroke Risk Prediction Variables Using Natural Language Processing
    Ovid Technologies (Wolters Kluwer Health) ; 2024
    In:  Stroke Vol. 55, No. Suppl_1 ( 2024-02)
    Details
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 55, No. Suppl_1 ( 2024-02)
    Abstract: Introduction: Early identification of stroke risk can profoundly influence an individual's chance of survival. While machine learning-based stroke risk prediction models perform better than traditional counterparts, they require integrating diverse open data sources. Variable discrepancies - where the same concept is described differently - pose challenges for data integration, requiring time-intensive manual harmonization. To address this, we developed an automated harmonization technique using natural language models. Methods: We utilized data from the Atherosclerosis Risk in Communities (ARIC), Multi-Ethnic Study of Atherosclerosis (MESA), Framingham Offspring Study, and Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohorts. Our approach involved training a two-layer fully connected neural network (FCN) to predict a harmonized ‘concept variable’ based on variable descriptions. These predictions employed embeddings from Bidirectional Encoder Representations from Transformers for Biomedical Text Mining (BioBERT). Further refining was achieved through paired sentence classification tasks to determine if description pairs shared identical concepts. We experimented with both separate cohort training and combined cohort training to evaluate context dependency. We used cosine similarity between the embeddings of the pre-trained BioBERT encoder as a prediction score for our baseline method. Results: The harmonization methods using natural language models outperformed the baseline method. The FCN model improved the area under the receiver operating characteristic from 0.787 (baseline) to 0.985 for the paired classification task. For harmonization concept prediction, the top-2 accuracy - correct prediction in the top two answers - improved from 11.9% (baseline) to 54.6%, while the top-5 accuracy improved from 16.1% (baseline) to 67.6%. Conclusions: Utilizing natural language processing for data harmonization provides a scalable approach that improves accuracy and efficiency of prediction. This facilitates the inclusion of diverse cohorts, broadening the sample size and range of indicators available, which in turn advances the versatility and the generalizability of stroke risk prediction models.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    URL: Article
    DOI: 10.1161/str.55.suppl_1.WP236
    RVK:
    XA 10000
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2024
    detail.hit.zdb_id: 1467823-8
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