Abstract P368: Neighborhoods and Subclinical Cardiovascular Disease

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Todd R Sponholtz ◽  
Ramachandran S Vasan
Keyword(s):  
Cardiovascular Disease ◽  
Risk Score ◽  
Block Group ◽  
Group Level ◽  
Census Block ◽  
Cvd Risk ◽  
Block Level ◽  
Block Groups ◽  
Level Group ◽  
Variance Explained

Background: Research on the health impact of the built environment has focused on health behaviors such as diet and exercise, and conditions such as obesity and diabetes. Few studies have examined its influence on downstream outcomes such as cardiovascular disease. We investigated the proportional variance in the 10-year and 30-year Framingham risk score (FRS) attributable to neighborhoods in the Framingham Heart Study. Methods: Offspring- and Generation 3 cohort members’ homes at the time of exam 7 (Offspring, 1998-2001) or exam 1 (Generation 3, 2002-2005) were geocoded to 2000 Census block groups. We evaluated Framingham Offspring and Generation 3 cohort participants inhabiting private residences in block groups within Massachusetts containing the residences of 5 or more participants. Analyses of the 10-year FRS were further restricted to participants aged 30-74 at the time of the relevant exam and those of the 30-year FRS to participants 20-59 years old. Cardiovascular risk was determined on the bases of sex, age, systolic blood pressure, anti-hypertensive medication, smoking, diabetes, total cholesterol, and HDL. The outcomes were the standardized residuals of log-transformed FRS regressed on age and sex. We analyzed the percentage of variance of FRS explained at the block-group level and 95% confidence intervals using multilevel linear regression. An empty model was first used to estimate the total variance and the following factors were then added singly to evaluate their influence on the group-level FRS variance explained by education, body mass index, waist circumference, physical activity score, and depression (CES-D score ≥16). Analyses were repeated stratified by sex. Results: The analysis of 10-year FRS included a total of 2,882 participants in 188 census block groups. The block-group-level variance explained for this outcome was 1.77% (95% CI=0.69, 4.44). Upon the addition of BMI to the model, the variance explained dropped to 1.11% (95% CI=0.28%, 4.30%). None of the other covariates had a substantial impact. Among 1,363 women in 117 block groups, the block level group explained a total of 2.03% of the FRS variance at the block level group (95% CI=0.61, 6.56), which dropped to 0.64% (95% CI=0.03, 13.82) when BMI was added to the model. Results were somewhat stronger in analysis of the 30-year FRS. The group-level FRS variance explained by census blocks was 3.56% (95% CI=1.75, 7.12) among 2096 participants in 156 neighborhoods. Similar to the 10-year CVD risk score, the variance explained among women (959 in 97 block groups) was higher (6.06%, 95% CI=2.75, 12.83), but null among males. Conclusions: In this relatively homogenous suburban white population, census block groups explained a small percentage of the variance in CVD risk. The explained variance was higher among women (19% non-working vs. 5% of males), and largely explained by the clustering of obesity.

scholarly journals Antidepressant Use and the Risk of Major Adverse Cardiovascular Events in Patients Without Known Cardiovascular Disease: A Retrospective Cohort Study

2020 ◽  
Vol 11 ◽  
Author(s):  
Ha Young Jang ◽  
Jae Hyun Kim ◽  
Yun-Kyoung Song ◽  
Ju-Young Shin ◽  
Hae-Young Lee ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Risk Score ◽  
Cardiovascular Events ◽  
Major Adverse Cardiovascular Events ◽  
Cvd Risk ◽  
Hazard Ratios ◽  
Increased Risk ◽  
History Of ◽  
Antidepressant Use ◽  
Cox Proportional Hazard Regression

Aims: Conflicting data exist on whether an association exists between antidepressants and the risk of major adverse cardiovascular events (MACEs) in patients with depression. This may be due to the use of various study designs and residual or unmeasured confounding. We aimed to assess the association between antidepressant use and the risk of MACEs while considering various covariates, including severity of depression and the cardiovascular disease (CVD) risk score.Methods: Patients newly diagnosed with depression with no history of ischemic heart disease and stroke were followed-up from 2009 to 2015. We conducted Cox proportional hazard regression analysis to estimate hazard ratios (HRs) for each antidepressant for MACE risk.Result: We followed-up (median, 4.4 years) 31,830 matched patients with depression (15,915 antidepressant users and 15,915 non-users). In most patients (98.7%), low-dose tricyclic antidepressants (TCAs) were related with a significantly increased risk of MACEs [adjusted HR = 1.20, 95% confidence interval (CI) = 1.03–1.40]. Duration response relationship showed a gradually increasing HR from 1.15 (95% CI = 0.98–1.33; <30 days of use) to 1.84 (95% CI = 1.35–2.51; ≥365 days of use) (p for trend <0.01). High Korean atherosclerotic CVD risk score (≥7.5%) or unfavorable lifestyle factors (smoking, alcohol intake, and exercise) were significantly associated with MACEs.Conclusion: Even at low doses, TCA use was associated with MACEs during primary prevention. Longer duration of TCA use correlated with higher HR. Careful monitoring is needed with TCA use in patients with no known CVD history.

Risk results from screening for a high cardiovascular disease risk by means of traditional risk factor measurement or coronary artery calcium scoring in the ROBINSCA trial

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Van Der Aalst ◽  
S.J.A.M Denissen ◽  
M Vonder ◽  
J.-W.C Gratema ◽  
H.J Adriaansen ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Coronary Artery ◽  
High Risk ◽  
Risk Score ◽  
Coronary Artery Calcium ◽  
Preventive Treatment ◽  
Low Risk ◽  
Funding Source ◽  
Cvd Risk ◽  
Increased Risk

Abstract Aims Screening for a high cardiovascular disease (CVD) risk followed by preventive treatment can potentially reduce coronary heart disease (CHD)-related morbidity and mortality. ROBINSCA (Risk Or Benefit IN Screening for CArdiovascular disease) is a population-based randomized controlled screening trial that investigates the effectiveness of CVD screening in asymptomatic participants using the Systematic COronary Risk Evaluation (SCORE) model or Coronary Artery Calcium (CAC) scoring. This study describes the distributions in risk and treatment in the ROBINSCA trial. Methods and results Individuals at expected elevated CVD risk were randomized (1:1:1) into the control arm (n=14,519; usual care); screening arm A (n=14,478; SCORE, 10-year fatal and non-fatal risk); or screening arm B (n=14,450; CAC scoring). Preventive treatment was largely advised according to current Dutch guidelines. Risk and treatment differences between the screening arms were analysed. 12,185 participants (84.2%) in arm A and 12,950 (89.6%) in arm B were screened. 48.7% were women, and median age was 62 (InterQuartile Range 10) years. SCORE screening identified 45.1% at low risk (SCORE<10%), 26.5% at intermediate risk (SCORE 10–20%), and 28.4% at high risk (SCORE≥20%). According to CAC screening, 76.0% were at low risk (Agatston<100), 15.1% at high risk (Agatston 100–399), and 8.9% at very high risk (Agatston≥400). CAC scoring significantly reduced the number of individuals indicated for preventive treatment compared to SCORE (relative reduction women: 37.2%; men: 28.8%). Conclusion We showed that compared to risk stratification based on SCORE, CAC scoring classified significantly fewer men and women at increased risk, and less preventive treatment was indicated. ROBINSCA flowchart Funding Acknowledgement Type of funding source: Public grant(s) – EU funding. Main funding source(s): Advanced Research Grant

scholarly journals Assessment of medium-term cardiovascular disease risk after Japan’s 2011 Fukushima Daiichi nuclear accident: a retrospective analysis

BMJ Open ◽  
2017 ◽  
Vol 7 (12) ◽  
pp. e018502 ◽  
Author(s):  
Haruka Toda ◽  
Shuhei Nomura ◽  
Stuart Gilmour ◽  
Masaharu Tsubokura ◽  
Tomoyoshi Oikawa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Risk Score ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Multivariate Regression Analysis ◽  
Nuclear Accident ◽  
Medium Term ◽  
Cvd Risk ◽  
Fukushima Daiichi

ObjectiveTo assess the medium-term indirect impact of the 2011 Fukushima Daiichi nuclear accident on cardiovascular disease (CVD) risks and to identify whether risk factors for CVD changed after the accident.ParticipantsResidents aged 40 years and over participating in annual public health check-ups from 2009 to 2012, administered by Minamisoma city, located about 10 to 40 km from the Fukushima Daiichi nuclear plant.MethodsThe sex-specific Framingham CVD risk score was considered as the outcome measure and was compared before (2009–2010) and after the accident (2011–2012). A multivariate regression analysis was employed to evaluate risk factors for CVD.ResultsData from 563 individuals (60.2% women) aged 40 to 74 years who participated in the check-ups throughout the study period was analysed. After adjusting for covariates, no statistically significant change was identified in the CVD risk score postaccident in both sexes, which may suggest no obvious medium-term health impact of the Fukushima nuclear accident on CVD risk. The risk factors for CVD and their magnitude and direction (positive/negative) did not change after the accident.ConclusionsThere was no obvious increase in CVD risks in Minamisoma city, which may indicate successful management of health risks associated with CVD in the study sample.

scholarly journals Red Cell Distribution Width Is Positively Correlated with Atherosclerotic Cardiovascular Disease 10-Year Risk Score, Age, and CRP in Spondyloarthritis with Axial or Peripheral Disease

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Hassan Ahmad ◽  
Mariam Khan ◽  
Michelle Laugle ◽  
Desmond A. Jackson ◽  
Christopher Burant ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Risk Score ◽  
Smoking Status ◽  
Cardiac Conduction ◽  
Atherosclerotic Cardiovascular Disease ◽  
Cell Distribution ◽  
Cvd Risk ◽  
Hypertension Status ◽  
Distribution Width ◽  
Hemoglobin C

Background. Red blood cell distribution width (RDW) is a routine hematologic parameter that is a predictor of cardiovascular disease (CVD) events and is independent of combined traditional risk factor scoring systems. The RDW has also been associated with rheumatic disease activity. Whether RDW is associated with traditional CVD risk factors or Atherosclerotic Cardiovascular Disease (ASCVD) 10-year CVD risk score in patients with seronegative spondyloarthritis with axial or peripheral disease has not been previously determined. Methods. We performed a retrospective, chart review study evaluating the relationship between RDW, albumin, hemoglobin, C-reactive protein (CRP), absolute lymphocyte count (ALC), and ASCVD scoring parameters [age, hypertension status, diabetes mellitus (DM) status, lipid profile, and smoking status] in a cohort of spondyloarthritis patients, taking into consideration their HLA-B27 status, race, and treatment status. Results. RDW was found to positively correlate with ASCVD 10-year score and age, and ASCVD score did not change over time after patients were treated for spondyloarthritis. Albumin was found to negatively correlate with ASCVD 10-year risk score. Both RDW and albumin correlated with CRP. ALC failed to correlate with ASCVD 10-year score but did show a tendency to be associated with CVD, CVD events, and cardiac conduction abnormalities. Conclusions. These data indicate that further study is warranted to evaluate RDW, albumin level, and ALC as potential predictors of CVD in the spondyloarthritis patient population.

scholarly journals FRI0057 A MODEL FOR QUANTIFYING THE EFFECT OF INFLAMMATION ON CARDIOVASCULAR DISEASE RISK PREDICTION IN RA PATIENTS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 604.2-605
Author(s):  
R. Ben-Shachar ◽  
D. Flake ◽  
R. Bamford ◽  
B. Mabey ◽  
E. Sasso ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Disease Activity ◽  
Risk Score ◽  
Cvd Risk ◽  
Increased Risk ◽  
Myriad Genetics ◽  
The Difference ◽  
Molecular Score ◽  
Conventional Risk Factors

Background:Patients with rheumatoid arthritis (RA) are at increased risk for cardiovascular disease (CVD)[1]. Quantifying the effect of inflammation on CVD risk is important because rheumatologists can reduce inflammation with effective RA medications. A new score has been developed for predicting the risk for a CVD event (MI, stroke or CV death) in RA patients. It combines serological measures of inflammation (the multi-biomarker disease activity [MBDA] score, a measure of RA disease activity; and three individual biomarkers [TNF-RI, MMP-3 and leptin]), with age and four conventional CVD risk factors (smoking, hypertension, diabetes and history of a high- risk CVD condition)[2]. To gain insight into the potential effect that treating inflammation may have on the CVD risk score, it would be useful to know how the score is affected by the level of inflammation.Objectives:Explore the quantitative contribution of inflammation to CVD risk score in individual RA patients.Methods:To quantify the effect of inflammation on the CVD risk score across a range of MBDA scores, a commercial dataset of 177,486 RA patients with ≥2 MBDA tests between October 2010 and June 2019 was split 2:1 into training and validation datasets. Curves showing variation in the CVD risk score across the spectrum of all possible MBDA scores (1-100) were generated for canonical patient types differing in the number of conventional risk factors (0 to 4) and age (45, 55, 65, 75, 85 years). To generate these curves, the contributions of TNF-RI, MMP-3 and leptin to the CVD risk score were treated in aggregate (denoted the molecular score) and estimated using a linear regression model of the difference in molecular scores vs. the difference in MBDA scores. This model for the molecular score was fit in the training dataset, then in the full dataset, with dataset (training or validation) and the interaction between dataset and change in MBDA score included as additional predictor variables. The method was considered validated if the F-test for the interaction variable was not significant at the 0.05 level.Results:The model for estimating the molecular score from the MBDA scores was validated and shown to fit the data well (Figure 1). The estimated molecular score was applied to the CVD risk score algorithm to generate curves that show how CVD risk score varies with MBDA score for several distinct patient types. These curves demonstrate that the predicted 3-year CVD risk increases continuously and markedly with increasing level of inflammation, as represented by the MBDA score (Figure 2). Age and the number of conventional risk factors also affected the predicted CVD risk, with older patients (Figure 2a) and those with more conventional risk factors (Figure 2b) being at higher risk for a CVD event.Conclusion:The level of CVD risk predicted by a new prognostic test for RA patients depends not only on conventional risk factors, which are relatively time invariant, but also varies greatly due to inflammation, which can potentially be reduced with RA treatment.References:[1]Agca et al (2017).Ann Rheum Dis.76(1):17-28. doi: 10.1136/annrheumdis-2016-209775.[2]Curtis JR, Xie F, Crowson CS et al. (2019) ACR meeting abstract #446Disclosure of Interests:Rotem Ben-Shachar Shareholder of: Myriad Genetics, Inc., Employee of: Myriad Genetics, Inc., Darl Flake Shareholder of: Myriad Genetics, Inc., Employee of: Myriad Genetics, Inc., Richard Bamford Shareholder of: Myriad Genetics, Inc., Employee of: Myriad Genetics, Inc., Brent Mabey Shareholder of: Myriad Genetics, Inc., Employee of: Myriad Genetics, Inc., Eric Sasso Shareholder of: Myriad Genetics, Inc., Employee of: Myriad Genetics, Inc., Jeffrey Curtis Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB

scholarly journals RISIKO PENYAKIT KARDIOVASKULER PADA PESERTA PROGRAM PENGELOLAAN PENYAKIT KRONIS (PROLANIS) DI PUSKESMAS KOTA BIMA: KORELASINYA DENGAN ANKLE BRACHIAL INDEX DAN OBESITAS

2019 ◽  
Author(s):  
Martiningsih Martiningsih ◽  
Abdul Haris
Keyword(s):  
Cardiovascular Disease ◽  
Community Health ◽  
Risk Score ◽  
Framingham Risk Score ◽  
Ankle Brachial Index ◽  
High Risk Group ◽  
Cvd Risk ◽  
Cross Sectional ◽  
Consecutive Sampling ◽  
Framingham Risk

Penyakit kardiovaskular (PKV) adalah penyakit yang disebabkan oleh gangguan fungsi jantung dan pembuluh darah. PKV dapat dicegah terutama pada kelompok berisiko, diantaranya dengan penilaian risiko menggunakan Framingham Risk Score (FRS). Tujuan penelitian ini adalah untuk menganalisis risiko PKV dan korelasinya dengan Ankle Brachial Index (ABI) dan obesitas pada peserta Prolanis di Kota Bima. Pengambilan data menggunakan instrumen Framingham Risk Score, pengukuran tekanan darah, indeks massa tubuh, lingkar lengan, dan lingkar perut. Jenis penelitian ini adalah penelitian deskriptif analitik dengan rancangan cross-sectional. Pemilihan sampel ditentukan secara consecutive sampling pada semua responden yang aktif mengikuti kegiatan Prolanis dan memenuhi kriteria inklusi di lima Puskesmas di Kota Bima tahun 2018. Analisis data dengan uji parametrik Spearman. Hasil penelitian menunjukkan kelompok risiko tinggi 33 orang (40,7%), risiko sedang 28 orang (34,6%), dan risiko rendah 20 orang (24,7%). Tidak terdapat korelasi antara risiko PKV dengan ABI dan obesitas. Temuan lain dalam penelitian ini mengindikasikan adanya korelasi antara risiko PKV dengan subvariabel obesitas sentral walaupun tidak ditemukan adanya signifikansi (p> 0,05). Pada penelitian selanjutnya, disarankan jumlah sampel yang lebih banyak di komunitas dengan proporsi laki-laki dan perempuan yang berimbang. Kata Kunci: ABI, Framingham, kardiovaskuler, obesitas Abstract Risk of Cardiovascular Disease at Chronic Disease Management Program Participants in The Community Health Centers of Bima Town: The Correlation with Ankle Brachial Index and Obesity. Cardiovascular disease (CVD) is a disease caused by impaired heart and blood vessel function, which can be prevented, especially in risk groups that can be risk assessed using the Framingham Risk Score (FRS). The purpose of this study was to analyze the risk of CVD and the correlation with ABI and obesity in Prolanis participants at Bima City. Data collection was done by using the instrument FRS and measuring systolic blood pressure, body mass index, arm circumference, and waist circumference. This study was a descriptive-analytic study with a cross-sectional design. The sample selection was determined by consecutive sampling for all respondents who actively participated in Prolanis activities and fulfilled the inclusion criteria in five community health center at Bima City in 2018. Data analyzed with Spearmen parametric test. The results of research showed high risk group was 33 peoples (40.7%), moderate risk was 28 peoples (34.6%), and low risk was 20 peoples (24.7%). There was no correlation between risk of CVD  with ABI and obesity. Other findings in this study indicate a correlation between CVD risk and subvariable central obesity, although no significance was found (p> 0.05). In further research, it is recommended that a larger number of samples in the general community with a balanced proportion of men and women. Keywords:  ABI, cardiovaskuler, Framingham, obesity

scholarly journals Cardiovascular disease risk assessment in diabetes and metabolic syndrome patients with and without non-alcoholic fatty liver disease

2015 ◽  
Vol 2 (4) ◽  
pp. 91 ◽  
Author(s):  
Mohammed Alim ◽  
Rakesh K. Sahay ◽  
Nuwairah Hafiz ◽  
B. Prabhakar ◽  
Mohammed Ibrahim
Keyword(s):  
Cardiovascular Disease ◽  
Risk Assessment ◽  
Metabolic Syndrome ◽  
Fatty Liver ◽  
Risk Score ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cvd Risk ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease

<p class="abstract"><strong><span lang="EN-US">Background:</span></strong><span lang="EN-US"> Recently non-alcoholic fatty liver disease (NAFLD) has been suggested as independent cardiovascular (CVD) risk factor and many studies have shown strong links between NAFLD and CVD but NAFLD has not been related to cardiovascular mortality independently on a long term follow up. Inflammation and oxidative stress is well recognized factors for NALFD which lead to many interrelated factors contributing to cardiovascular risk. Aim: To study the cardiovascular disease risk in diabetes and metabolic syndrome patients with and without NAFLD using different risk assessment calculators.</span></p><p class="abstract"><strong><span lang="EN-US">Methods: </span></strong>This was a single center, prospective cross sectional study. 62 patients with diabetes and metabolic syndrome attending the endocrinology &amp; gastroenterology clinics of Osmania General Hospital were enrolled in to the study with 31 patients in group A (NAFLD) and 31 patients in group B (Non-NAFLD). Patients were diagnosed with fatty liver by ultrasound examination.  </p><p class="abstract"><strong><span lang="EN-US">Results: </span></strong>The groups were individually evaluated for cardiovascular risk assessment by PROCAM risk score, atherosclerotic cardiovascular disease (ASCVD) score and atherosclerosis Index. The means ± standard(%) deviation of Procam risk score for NAFLD group was 6.00 ± 1.00 and for Non NAFLD group it was 10.00 ± 2.00 (p=0.039). ASCVD risk score shows 5.11 ± 1.12 for NAFLD and Non NAFLD group showed 8.25 ± 2.18 (p=0.235). The Atherosclerosis index for NAFLD group was 0.24 ± 0.03 and Non NAFLD 0.18 ± 0.04 (p=0.785). The QRsik2 score for NAFLD and Non-NAFLD patients was 13.16 ± 7.56 and 17.45 ± 10.36.</p><p class="abstract"><strong><span lang="EN-US">Conclusions: </span></strong>There was no difference in CVD risk assessment when assessed with different calculators in this population.</p>

scholarly journals Assessing Performance of the Veterans Affairs Women Cardiovascular Risk Model in Predicting a Short-Term Risk of Cardiovascular Disease Incidence Using United States Veterans Affairs COVID-19 Shared Data

2021 ◽  
Vol 18 (19) ◽  
pp. 10005
Author(s):  
Haekyung Jeon-Slaughter ◽  
Xiaofei Chen ◽  
Bala Ramanan ◽  
Shirling Tsai
Keyword(s):  
Cardiovascular Disease ◽  
African American ◽  
African American Women ◽  
Risk Score ◽  
Hispanic Women ◽  
Disease Incidence ◽  
Women Veterans ◽  
Veterans Affairs ◽  
Cvd Risk ◽  
American Women

The current study assessed performance of the new Veterans Affairs (VA) women cardiovascular disease (CVD) risk score in predicting women veterans’ 60-day CVD event risk using VA COVID-19 shared cohort data. The study data included 17,264 women veterans—9658 White, 6088 African American, and 1518 Hispanic women veterans—ever treated at US VA hospitals and clinics between 24 February and 25 November 2020. The VA women CVD risk score discriminated patients with CVD events at 60 days from those without CVD events with accuracy (area under the curve) of 78%, 50%, and 83% for White, African American, and Hispanic women veterans, respectively. The VA women CVD risk score itself showed good accuracy in predicting CVD events at 60 days for White and Hispanic women veterans, while it performed poorly for African American women veterans. The future studies are needed to identify non-traditional factors and biomarkers associated with increased CVD risk specific to African American women and incorporate them to the CVD risk assessment.

Sign in / Sign up

Export Citation Format

Share Document