Heart Study (heart + study)

Distribution by Scientific Domains
Distribution within Medical Sciences

Kinds of Heart Study

  • framingham heart study


  • Selected Abstracts


    Isokinetic and isometric muscle strength in a healthy population with special reference to age and gender

    ACTA PHYSIOLOGICA, Issue 2009
    B. Danneskiold-Samsøe
    Abstract Aim:, Muscle strength is an excellent indicator of general health when based on reliable measurements. Muscle strength data for a healthy population are rare or non-existent. The aim of the present study was to measure a set of normal values for isometric and isokinetic muscle strength for all the major joint movements of the body and, from these data, to create a basis for comparison of the muscle strength of an individual with the expected value in a normal population. Methods:, A randomly selected group, aged 20,80 years, from the Copenhagen City Heart Study were studied. The group was subgrouped according to age and gender. Isometric and isokinetic muscle strength was measured in each subject across the main joints in the body. A statistical model was developed that encompassed the three main muscle groups: upper limbs, trunk and lower limbs. Results:, Muscle strength in healthy men decreases in a linear fashion from the age of 25 years down to between 54% and 89% at the age of 75 years, and seems not highly dependent on any other parameter than age. For women, the muscle strength is dependent on weight and is only related to age from around 40 years of age. The decrease in muscle strength from the age around 40 to 75 years is 48,92%. For most muscle groups, men are 1.5,2 times stronger than women, with the oldest men having strength similar to that observed among the youngest women. Conclusion:, We developed a model to compare the isometric and isokinetic muscle strength of all the major joint movements of an individual with values for a healthy man or woman at any age in the range of 20,80 years. In all age groups, women have lower muscle strength than men. Men's muscle strength declines with age, while women's muscle strength declines from the age of 41 years. [source]


    Association analysis of genes in the renin-angiotensin system with subclinical cardiovascular disease in families with Type 2 diabetes mellitus: The Diabetes Heart Study

    DIABETIC MEDICINE, Issue 3 2006
    K. P. Burdon
    Abstract Aims Cardiovascular disease (CVD) is a major complication of Type 2 diabetes mellitus. The renin-angiotensin system (RAS) and nitric oxide production are both important regulators of vascular function and blood pressure. Genes encoding proteins involved in these pathways are candidates for a contribution to CVD in diabetic patients. We have investigated variants of the angiotensinogen (AGT), angiotensin converting enzyme (ACE), angiotensin type 1 receptor (AT1R) and endothelial nitric oxide synthase (NOS3) genes for association with subclinical measures of CVD in families with Type 2 diabetes mellitus (T2DM). Methods Atherosclerosis was measured by carotid intima-media thickness and calcification of the carotid and coronary arteries in 620 European Americans and 117 African Americans in the Diabetes Heart Study. Because of the role of these systems in blood pressure regulation, blood pressure was also investigated. Results Compelling evidence of association was not detected with any of the SNPs with any outcome measures after adjustments for covariates despite sufficient power to detect relatively small differences in traits for specific genotype combinations. Conclusions Genetic variation of the RAS and NOS3 genes do not appear to strongly influence subclinical cardiovascular disease or blood pressure in this diabetic population. [source]


    Prevalence of undiagnosed Type 2 diabetes and impaired fasting glucose in older B ritish men and women

    DIABETIC MEDICINE, Issue 6 2005
    M. C. Thomas
    Abstract Aim To estimate the prevalence of undiagnosed diabetes and impaired fasting glucose in older British men and women, using the 1999 World Health Organization (WHO) thresholds based on fasting glucose measurements. Methods Participants in the British Regional Heart Study and the British Women's Heart and Health Study were selected from one socially representative general practice in 24 British towns. Included in this analysis were 3736 men and 3642 women aged 60,79 years (predominantly white), who provided a single fasting blood sample at a clinical examination between 1998 and 2001, and who had no previous diagnosis of diabetes. Results Two hundred and eleven men (5.7%) and 190 women (5.2%) had a fasting blood glucose level consistent with the WHO threshold for a diagnosis of diabetes (, 7.0 mmol/l), whilst a further 667 men (17.9%) and 642 women (17.6%) had impaired fasting glucose levels (6.1 , 7 mmol/l). When analyses were restricted to subjects who had fasted for at least 8 h, and whose blood sample was taken before 12.00 h, the predicted prevalence of undiagnosed diabetes (based on two separate measurements) was 6.7% in men and 6.0% in women. The predicted prevalence of impaired fasting glucose (based on two separate measurements) was approximately 20% in both sexes. Conclusions More than one-fifth of older white British men and women have either undiagnosed diabetes or impaired fasting glucose according to new WHO criteria. Strategies for the primary and secondary prevention of Type 2 diabetes among older individuals are urgently needed. [source]


    Changes in environmental tobacco smoke (ETS) exposure over a 20-year period: cross-sectional and longitudinal analyses

    ADDICTION, Issue 3 2009
    Barbara J. Jefferis
    ABSTRACT Aims To examine long-term changes in environmental tobacco smoke (ETS) exposure in British men between 1978 and 2000, using serum cotinine. Design Prospective cohort: British Regional Heart Study. Setting General practices in 24 towns in England, Wales and Scotland. Participants Non-smoking men: 2125 studied at baseline [questionnaire (Q1): 1978,80, aged 40,59 years], 3046 studied 20 years later (Q20: 1998,2000, aged 60,79 years) and 1208 studied at both times. Non-smokers were men reporting no current smoking with cotinine < 15 ng/ml at Q1 and/or Q20. Measurements Serum cotinine to assess ETS exposure. Findings In cross-sectional analysis, geometric mean cotinine level declined from 1.36 ng/ml [95% confidence interval (CI): 1.31, 1.42] at Q1 to 0.19 ng/ml (95% CI: 0.18, 0.19) at Q20. The prevalence of cotinine levels , 0.7 ng/ml [associated with low coronary heart disease (CHD) risk] rose from 27.1% at Q1 to 83.3% at Q20. Manual social class and northern region of residence were associated with higher mean cotinine levels both at Q1 and Q20; older age was associated with lower cotinine level at Q20 only. Among 1208 persistent non-smokers, cotinine fell by 1.47 ng/ml (95% CI: 1.37, 1.57), 86% decline. Absolute falls in cotinine were greater in manual occupational groups, in the Midlands and Scotland compared to southern England, although percentage decline was very similar across groups. Conclusions A marked decline in ETS exposure occurred in Britain between 1978 and 2000, which is likely to have reduced ETS-related disease risks appreciably before the introduction of legislation banning smoking in public places. [source]


    Individuals at increased coronary heart disease risk are characterized by an impaired microvascular function in skin

    EUROPEAN JOURNAL OF CLINICAL INVESTIGATION, Issue 7 2003
    R. G. IJzerman
    Abstract Background To investigate whether microvascular function in skin is a valid model to study the relationships between cardiovascular risk factors and microvascular function, we investigated skin microvascular function in individuals with increased coronary heart disease (CHD) risk. Materials and methods Forty-six healthy White individuals aged 30,70 years were studied. Coronary heart disease risk was assessed with the use of the CHD risk score according to the Framingham Heart Study, which is based on the risk factors age, blood pressure, cigarette smoking, total cholesterol, HDL cholesterol and diabetes. Endothelium-dependent and -independent vasodilation in skin were evaluated with laser Doppler after iontophoresis of acetylcholine and sodium nitroprusside. Videomicroscopy was used to measure recruitment of skin capillaries after arterial occlusion. Results Coronary heart disease risk score (i.e. the 10-year probability of CHD) varied from 1,37%. Microvascular function decreased with increasing quartiles of CHD risk (for acetylcholine-mediated vasodilation: 687, 585, 420 and 326%, P = 0·002; for nitroprusside-mediated vasodilation: 776, 582, 513 and 366%, P = 0·02; for capillary recruitment: 49·9, 44·6, 27·2 and 26·7%, P = 0·001). These trends were similar in men and women (P for interaction > 0·2) and independent of body mass index. Conclusions Increased CHD risk is associated with an impaired endothelium-dependent vasodilatation and capillary recruitment in skin, suggesting that microvascular function in skin is a valid model to study the relationships between cardiovascular risk factors and microvascular function. [source]


    Genome-wide association analyses of quantitative traits: the GAW16 experience

    GENETIC EPIDEMIOLOGY, Issue S1 2009
    Saurabh GhoshArticle first published online: 18 NOV 200
    Abstract The group that formed on the theme of genome-wide association analyses of quantitative traits (Group 2) in the Genetic Analysis Workshop 16 comprised eight sets of investigators. Three data sets were available: one on autoantibodies related to rheumatoid arthritis provided by the North American Rheumatoid Arthritis Consortium; the second on anthropometric, lipid, and biochemical measures provided by the Framingham Heart Study (FHS); and the third a simulated data set modeled after FHS. The different investigators in the group addressed a large set of statistical challenges and applied a wide spectrum of association methods in analyzing quantitative traits at the genome-wide level. While some previously reported genes were validated, some novel chromosomal regions provided significant evidence of association in multiple contributions in the group. In this report, we discuss the different strategies explored by the different investigators with the common goal of improving the power to detect association. Genet. Epidemiol. 33 (Suppl. 1):S13,S18, 2009. © 2009 Wiley-Liss, Inc. [source]


    Multistage analysis strategies for genome-wide association studies: summary of group 3 contributions to Genetic Analysis Workshop 16

    GENETIC EPIDEMIOLOGY, Issue S1 2009
    Rosalind J. Neuman
    Abstract This contribution summarizes the work done by six independent teams of investigators to identify the genetic and non-genetic variants that work together or independently to predispose to disease. The theme addressed in these studies is multistage strategies in the context of genome-wide association studies (GWAS). The work performed comes from Group 3 of the Genetic Analysis Workshop 16 held in St. Louis, Missouri in September 2008. These six studies represent a diversity of multistage methods of which five are applied to the North American Rheumatoid Arthritis Consortium rheumatoid arthritis case-control data, and one method is applied to the low-density lipoprotein phenotype in the Framingham Heart Study simulated data. In the first stage of analyses, the majority of studies used a variety of screening techniques to reduce the noise of single-nucleotide polymorphisms purportedly not involved in the phenotype of interest. Three studies analyzed the data using penalized regression models, either LASSO or the elastic net. The main result was a reconfirmation of the involvement of variants in the HLA region on chromosome 6 with rheumatoid arthritis. The hope is that the intense computational methods highlighted in this group of papers will become useful tools in future GWAS. Genet. Epidemiol. 33 (Suppl. 1):S19,S23, 2009. © 2009 Wiley-Liss, Inc. [source]


    Use of longitudinal data in genetic studies in the genome-wide association studies era: summary of Group 14

    GENETIC EPIDEMIOLOGY, Issue S1 2009
    Berit Kerner
    Abstract Participants analyzed actual and simulated longitudinal data from the Framingham Heart Study for various metabolic and cardiovascular traits. The genetic information incorporated into these investigations ranged from selected single-nucleotide polymorphisms to genome-wide association arrays. Genotypes were incorporated using a broad range of methodological approaches including conditional logistic regression, linear mixed models, generalized estimating equations, linear growth curve estimation, growth modeling, growth mixture modeling, population attributable risk fraction based on survival functions under the proportional hazards models, and multivariate adaptive splines for the analysis of longitudinal data. The specific scientific questions addressed by these different approaches also varied, ranging from a more precise definition of the phenotype, bias reduction in control selection, estimation of effect sizes and genotype associated risk, to direct incorporation of genetic data into longitudinal modeling approaches and the exploration of population heterogeneity with regard to longitudinal trajectories. The group reached several overall conclusions: (1) The additional information provided by longitudinal data may be useful in genetic analyses. (2) The precision of the phenotype definition as well as control selection in nested designs may be improved, especially if traits demonstrate a trend over time or have strong age-of-onset effects. (3) Analyzing genetic data stratified for high-risk subgroups defined by a unique development over time could be useful for the detection of rare mutations in common multifactorial diseases. (4) Estimation of the population impact of genomic risk variants could be more precise. The challenges and computational complexity demanded by genome-wide single-nucleotide polymorphism data were also discussed. Genet. Epidemiol. 33 (Suppl. 1):S93,S98, 2009. © 2009 Wiley-Liss, Inc. [source]


    Selection of the most informative individuals from families with multiple siblings for association studies

    GENETIC EPIDEMIOLOGY, Issue 4 2009
    Chunyu Liu
    Abstract Association analyses may follow an initial linkage analysis for mapping and identifying genes underlying complex quantitative traits and may be conducted on unrelated subsets of individuals where only one member of a family is included. We evaluate two methods to select one sibling per sibship when multiple siblings are available: (1) one sibling with the most extreme trait value; and (2) one sibling using a combination score statistic based on extreme trait values and identity-by-descent sharing information. We compare the type I error and power. Furthermore, we compare these selection strategies with a strategy that randomly selects one sibling per sibship and with an approach that includes all siblings, using both simulation study and an application to fasting blood glucose in the Framingham Heart Study. When genetic effect is homogeneous, we find that using the combination score can increase power by 30,40% compared to a random selection strategy, and loses only 8,13% of power compared to the full sibship analysis, across all additive models considered, but offers at least 50% genotyping cost saving. In the presence of genetic heterogeneity, the score offers a 50% increase in power over a random selection strategy, but there is substantial loss compared to the full sibship analysis. In application to fasting blood sample, two SNPs are found in common for the selection strategies and the full sample among the 10 highest ranked single nucleotide polymorphisms. The EV strategy tends to agree with the IBD-EV strategy and the analysis of the full sample. Genet. Epidemiol. 2009. © 2008 Wiley-Liss, Inc. [source]


    Sex differences in genetic and environmental determinants of pulse pressure

    GENETIC EPIDEMIOLOGY, Issue 5 2006
    Katrina J. Scurrah
    Abstract Pulse pressure (PP) is an independent risk factor for cardiovascular disease. PP rises with age, more so in women. We examined sex differences in the correlations and variance components of PP in adult subjects from 767 nuclear families, enriched with those containing twins, from the Victorian Family Heart Study. After adjusting for age, we found no significant differences in the means or variances of PP in males and females. Under the assumption of no sex differences, the proportions of variance due to shared genes, shared environment, and individual-specific environment were 20%, 23% and 57%, respectively. However, same-sex relative pairs had significantly higher correlations than opposite-sex pairs (P=0.005), implying the existence of sex-dependent effects. Extensions to the simple variance components model suggested three possible explanations for these differences: smaller genetic correlation between opposite-sex pairs (,G,MF=0.45, P=0.007); smaller environmental correlation between opposite-sex pairs (P=0.0003); or different environmental and genetic correlations obtained by estimating genetic, environmental, and individual variance components separately for males and females (not nested, Akaike's Information Criterion (AIC) smaller by 6.69). Under the last model, the genetic component of PP variance is greater for males (1.62 vs 0.33) while the environmental component is greater for females (1.84 vs 0), which would have implications for the planning of gene discovery studies, since heritability would be higher in males. However, the second (environmental) approach best fits the data according to the AIC. Genetic explanations for sex differences in phenotypic correlations may be misleading unless shared environmental factors are also considered. PP illustrates a phenotype in which sex dependency represents an important component of phenotypic determination that can be revealed by detailed variance components modelling. Genet. Epidemiol. 2006. © 2006 Wiley-Liss, Inc. [source]


    Using disease risk estimates to guide risk factor interventions: field test of a patient workbook for self-assessing coronary risk

    HEALTH EXPECTATIONS, Issue 1 2002
    J. Michael Paterson MSc
    Objective,To assess the feasibility and acceptability of a patient workbook for self-assessing coronary risk. Design,Pilot study, with post-study physician and patient interviews. Setting and subjects,Twenty southern Ontario family doctors and 40 patients for whom they would have used the workbook under normal practice conditions. Interventions,The study involved convening two sequential groups of family physicians: the first (n=10) attended focus group meetings to help develop the workbook (using algorithms from the Framingham Heart Study); the second (n=20) used the workbook in practice with 40 patients. Follow-up interviews were by interviewer-administered questionnaire. Main outcome measures,Physicians' and patients' opinions of the workbook's format, content, helpfulness, feasibility, and potential for broad application, as well as patients' perceived 10-year risk of a coronary event measured before and after using the workbook. Results,It took an average of 18 minutes of physician time to use the workbook: roughly 7 minutes to introduce it to patients, and about 11 minutes to discuss the results. Assessments of the workbook were generally favourable. Most patients were able to complete it on their own (78%), felt they had learned something (80%) and were willing to recommend it to someone else (98%). Similarly, 19 of 20 physicians found it helpful and would use it in practice with an average of 18% of their patients (range: 1,80%). The workbook helped to correct misperceptions patients had about their personal risk of a coronary event over the next 10 years (pre-workbook (mean (SD) %): 35.2 (16.9) vs. post-workbook: 17.3 (13.5), P < 0.0001; estimate according to algorithm: 10.6 (7.6)). Conclusions,Given a simple tool, patients can and will assess their own risk of CHD. Such tools could help inform otherwise healthy individuals that their risk is increased, allowing them to make more informed decisions about their behaviours and treatment. [source]


    Low-risk factor profile, estrogen levels, and breast cancer risk among postmenopausal women

    INTERNATIONAL JOURNAL OF CANCER, Issue 8 2009
    Naja Hulvej Rod
    Abstract Obesity, alcohol consumption, physical inactivity and postmenopausal hormone use are known modifiable risk factors for breast cancer. We aim to measure incidence rates of breast cancer for women with favorable levels on all 4 risk factors (BMI , 30 kg/m2, alcohol <1 drink/week, physically active and no current hormone use) and to evaluate their associations with estrogen. The 5,054 postmenopausal women in the Copenhagen City Heart Study were asked about risk factors at baseline in 1981,3 and were followed until 2002 in the Danish Cancer Registry, with <0.1% loss to follow-up. Estradiol was measured in a subset of 1,042 women. During follow-up, 263 women developed breast cancer. Twenty-six percent of the women had a favourable risk factor profile, and their breast cancer rates were markedly lower (154 per 100,000 years) than women with 3+ risk factors (460 per 100,000 years). One, two and three risk factors were associated with hazard ratios of 1.38 (95% CI: 0.99; 1.92), 1.84 (1.26; 2.67) and 2.79 (1.59; 4.88) compared to women with a favourable profile. Each of the risk factors was associated with estrogen. In conclusion, the risk of breast cancer was markedly lower for women with a favourable risk profile than for other women and lower estrogen levels is a possible explanation. © 2008 Wiley-Liss, Inc. [source]


    Liver fat is reproducibly measured using computed tomography in the Framingham Heart Study

    JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, Issue 6 2008
    Elizabeth K Speliotes
    Abstract Background and Aims:, Fatty liver is the hepatic manifestation of obesity, but community-based assessment of fatty liver among unselected patients is limited. We sought to determine the feasibility of and optimal protocol for quantifying fat content in the liver in the Framingham Heart Study using multidetector computed tomography (MDCT) scanning. Methods:, Participants (n = 100, 49% women, mean age 59.4 years, mean body mass index 27.8 kg/m2) were drawn from the Framingham Heart Study cohort. Two readers measured the attenuation of the liver, spleen, paraspinal muscles, and an external standard from MDCT scans using multiple slices in chest and abdominal scans. Results:, The mean measurement variation was larger within a single axial computed tomography (CT) slice than between multiple axial CT slices for the liver and spleen, whereas it was similar for the paraspinal muscles. Measurement variation in the liver, spleen, and paraspinal muscles was smaller in the abdomen than in the chest. Three versus six measures of attenuation in the liver and two versus three measures in the spleen gave reproducible measurements of tissue attenuation (intraclass correlation coefficient [ICCC] of 1 in the abdomen). Intrareader and interreader reproducibility (ICCC) of the liver-to-spleen ratio was 0.98 and 0.99, the liver-to-phantom ratio was 0.99 and 0.99, and the liver-to-muscle ratio was 0.93 and 0.86, respectively. Conclusion:, One cross-sectional slice is adequate to capture the majority of variance of fat content in the liver per individual. Abdominal scan measures as compared to chest scan measures of fat content in the liver are more precise. The measurement of fat content in the liver on MDCT scans is feasible and reproducible. [source]


    The association between metabolic syndrome, microalbuminuria and impaired renal function in the general population: impact on cardiovascular disease and mortality

    JOURNAL OF INTERNAL MEDICINE, Issue 4 2007
    K. P. Klausen
    Abstract. Objective:, Microalbuminuria and metabolic syndrome are both associated with cardiovascular disease (CVD). The aim of this study was to determine the potential association between numbers of components in the metabolic syndrome, different levels of microalbuminuria and renal function. We also aimed to determine the risk of death and CVD at different levels of microalbuminuria and renal function and numbers of components in the metabolic syndrome. Design:, Population-based observational follow-up study Setting:, Epidemiological research unit (Copenhagen City Heart Study). Subjects:, A total of 2696 men and women, 30,70 years of age. Baseline measures:, Urinary albumin excretion (UAE), creatinine clearance and metabolic risk factors were measured in 1992,1994. Main outcome measurements:, The participants were followed prospectively by registers until 1999,2000 with respect to CVD, and until 2004 with respect to death. Results:, We found a strong association between microalbuminuria and the metabolic syndrome: 2% with none and 18% with five metabolic risk factors had microalbuminuria (P < 0.001). No association between impaired renal function defined as creatinine clearance <60 mL min,1 and the metabolic syndrome was found. Microalbuminuria was associated with increased risk of death and CVD to a similar extend as the metabolic syndrome, irrespective of concomitant presence of metabolic syndrome (RR,2; P < 0.001). Impaired renal function was not associated with increased risk of death and CVD in subjects with the metabolic syndrome. Conclusions:, Microalbuminuria (UAE >5 ,g min,1) confers increased risk of death and CVD to a similar extent as the metabolic syndrome. [source]


    Long-term effects of hemostatic variables on fatal coronary heart disease: 30-year results from the first prospective Northwick Park Heart Study (NPHS-I)

    JOURNAL OF THROMBOSIS AND HAEMOSTASIS, Issue 3 2007
    B. L. DE STAVOLA
    Summary. Background:,The long-term associations of established risk factors for coronary heart disease (CHD), for example cholesterol, are well known, but not for the less familiar hemostatic variables. Objectives:,To establish whether associations between hemostatic variables and CHD first identified nearly three decades ago have persisted long-term. Methods:,The first Northwick Park Heart Study (NPHS-I) recruited 2167 white men and 941 white women, average age at entry 48 years, on whom measures of factor (F) VII activity (VIIc) and plasma fibrinogen were carried out, both at entry and at follow-up approximately 6 years later. Results:,During a median follow-up of 29 years, 231 male and 36 female CHD deaths were recorded from notifications by the Office for National Statistics. VIIc at recruitment was significantly related to CHD mortality, corrected rate ratio, RR, per 1 SD increase 1.56 (95% CI 1.29, 1.88) in men and RR 1.78 (95% CI 1.17, 2.72) in women. Recruitment fibrinogen was also strongly related to CHD mortality in men, RR 1.63 (95% CI 1.33, 1.99) but not in women, RR 0.75 (95% CI 0.40, 1.43). The associations persisted after controlling for confounders and were confirmed using 6-year follow-up measurements and in analyses omitting deaths within 10 years of recruitment. Conclusions:,The hemostatic system contributes to CHD mortality, and its effect is stable over time. For VIIc, the effect was similar in men and women, while for fibrinogen it appeared to be present only in men. [source]


    Impact of Diabetes on QT Dynamicity in Patients With and Without Myocardial Infarction: The KORA Family Heart Study

    PACING AND CLINICAL ELECTROPHYSIOLOGY, Issue 2007
    WOLFGANG LIEB M.D.
    Introduction: Patients with diabetes mellitus (DM) have an unfavorable prognosis after myocardial infarction (MI), partially due to a higher risk of sudden cardiac death (SCD). QT dynamicity is an independent predictor of SCD in post-MI patients. However, the effects of diabetes on QT dynamicity in patients with MI have not been described. Methods: We studied 468 survivors of MI (67 with DM) from the population-based MONICA registry (KORA Family Heart Study), Augsburg, Germany, by standardized questionnaire, anthropometry, electrocardiogram (ECG), 30-minute-Holter-ECG-recordings and echocardiography. In addition, 422 siblings without prior MI (22 with DM) were studied by the same protocol. Results: Among post-MI patients, the QT/RR slope was significantly steeper in diabetics than in nondiabetics (0.096 ± 0.057 vs 0.077 ± 0.045; P = 0.002). Likewise, among siblings without MI, the QT/RR slope was steeper in diabetics than in nondiabetics (0.104 ± 0.053 vs 0.080 ± 0.042; P = 0.008). The association of DM with steeper QT/RR slope remained significant in multivariate models in post-MI patients (,: ,0.14; P = 0.004) as well as in individuals without MI (,: ,0.10; P = 0.047). Conclusions: In a large population of survivors of MI and unaffected siblings, patients and siblings presenting with DM exhibited an abnormal QT rate-dependence, compared with individuals without DM in both groups. Thus, diabetes itself may be a major determinant of ventricular arrhythmias, independently of a previous MI. These observations might in part explain the higher incidence of sudden cardiac death and ventricular arrhythmias in patients with DM. [source]


    Quantitative assessment of the gastrointestinal and cardiovascular risk-benefit of celecoxib compared to individual NSAIDs at the population level,,

    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, Issue 4 2007
    Cristina Varas-Lorenzo MD
    Abstract Purpose To estimate the net cardiovascular (CV) (coronary heart disease, stroke, congestive heart failure), and gastrointestinal (GI) (peptic ulcer complications) risk-benefit public health impact of the use of celecoxib compared to non-selective NSAIDs in the arthritis population. Methods We applied discrete event simulation models to data from the US National Health Surveys, CV risk-prediction models from the Framingham Heart Study, and population-based studies. Models took into account the multifactorial effect of risk factors, comorbidity, and competing risk of mortality. We simulated the natural history of CV and GI disease in the U.S. arthritis population over 1 year, through the individual baseline cardiovascular and gastrointestinal risk profile. This model was modified with relative risks associated with the use of each treatment. The mean number of events was estimated for each end-point in each model: natural history, celecoxib, diclofenac, ibuprofen, naproxen. The number of events for celecoxib was compared with each NSAID. Results The evaluation included 1% of the U.S. population with arthritis. Celecoxib, when applied to 100,000 patients over 1 year, resulted in 570 (range from sensitivity analysis: 440,691), 226 (124,313), and 746 (612,868) fewer ulcer complications than diclofenac, ibuprofen, and naproxen, respectively. There were 20 (16,25), 8 (4,12), and 27 (22,32) fewer deaths from ulcer complications, respectively. No increase in cardiovascular events or all cause mortality was observed for celecoxib versus the other individual NSAIDs. Conclusion Results from these simulations suggest a gastrointestinal benefit for celecoxib not offset by increased cardiovascular events or mortality. The methodology used here provides a risk-benefit assessment framework for evaluating the public heath impact of drugs. Copyright © 2006 John Wiley & Sons, Ltd. [source]


    ARBITER-6 HALTS and Lipid Concentrations and Heart Failure Incidence: Framingham Heart Study

    PREVENTIVE CARDIOLOGY, Issue 3 2010
    Philip R. Liebson MD
    First page of article [source]


    Corrected local polynomial estimation in varying-coefficient models with measurement errors

    THE CANADIAN JOURNAL OF STATISTICS, Issue 3 2006
    Jinhong You
    Abstract The authors study a varying-coefficient regression model in which some of the covariates are measured with additive errors. They find that the usual local linear estimator (LLE) of the coefficient functions is biased and that the usual correction for attenuation fails to work. They propose a corrected LLE and show that it is consistent and asymptotically normal, and they also construct a consistent estimator for the model error variance. They then extend the generalized likelihood technique to develop a goodness of fit test for the model. They evaluate these various procedures through simulation studies and use them to analyze data from the Framingham Heart Study. Estimation polynomiale locale corrigée dans les modèles à coefficients variables comportant des erreurs de mesure Les auteurs s'intéressent à un modèle de régression à coefficients variables dont certaines cova-riables sont entachées d'erreurs additives. Ils montrent que l'estimateur localement linéaire (ELL) usuel des coefficients fonctionnels est biaisé et que le facteur de correction habituel du phénomène d'atténuation est inefficace. Ils proposent une version corrigée de l'ELL qui s'avère convergente et asymptotiquement normale; ils suggèrent aussi une estimation convergente de la variance du terme d'erreur du modèle. Une adaptation de la technique de vraisemblance généralisée leur permet en outre d'élaborer un test d'adéquation du modèle. Ils évaluent ces diverses procédures par voie de simulation et s'en servent pour analyser des données issues de l'étude Framingham sur les risques cardiométaboliques. [source]


    Association between SNP Heterozygosity and Quantitative Traits in the Framingham Heart Study

    ANNALS OF HUMAN GENETICS, Issue 4 2009
    Didahally R. Govindaraju
    Summary Associations between multilocus heterozygosity and fitness traits, also termed heterozygosity and fitness correlations (HFCs), have been reported in numerous organisms. These studies, in general, indicate a positive relationship between heterozygosity and fitness traits. We studied the association between genome-wide heterozygosity at 706 non-synonymous and synonymous SNPs and 19 quantitative traits, including morphological, biochemical and fitness traits in the Framingham Heart Study. Statistically significant association was found between heterozygosity and systolic and diastolic blood pressures as well as left ventricular diameter and wall thickness. These results suggest that heterozygosity may be associated with traits, such as blood pressure that closely track environmental variations. Balancing selection may be operating in the maintenance of heterozygosity and the major components of blood pressure and hypertension. Genome wide SNP heterozygosity may be used to understand the phenomenon of dominance as well as the evolutionary basis of many quantitative traits in humans. [source]


    The A370T Variant (StuI Polymorphism) in the LDL Receptor Gene is not Associated with Plasma Lipid Levels or Cardiovascular Risk in UK Men

    ANNALS OF HUMAN GENETICS, Issue 6 2006
    José Ricardo S. Vieira
    Summary Over 800 different missense mutations in the low density lipoprotein (LDL) receptor gene (LDLR) have been identified in patients with familial hypercholesterolaemia (FH). Only two of them, including the Alanine to Threonine change at position 370 (A370T), have been discovered in FH patients but do not cause FH. The frequency of the 370T allele has been reported worldwide to be between 0.022 and 0.070, with no clear association with high cholesterol levels or risk for coronary heart disease (CHD) and stroke. To explore this relationship in more detail we have determined this genotype in 2,659 healthy middle-aged (50,61 years) men participating in the prospective Second Northwick Park Heart Study, with 236 CHD and 67 stroke incident events. The genotype distribution was in Hardy-Weinberg equilibrium and in the no-event group the frequency of 370T was 0.046 (95% CI 0.040,0.052). Overall, there was no significant association of the 370T allele with any measured plasma lipid trait, and there was no difference in genotype distribution or allele frequency between the no-event and CHD (0.059; 95% CI 0.040,0.085) or stroke (0.037; 95% CI 0.012,0.085) groups ( p= 0.18 and 0.65, respectively). There was evidence for significant interaction ( p= 0.006) between body mass index (BMI) and genotype on CHD risk, with 370A homozygotes showing the expected higher CHD risk for those with higher BMI, whilst risk for 370T allele carriers was highest in men in the lowest tertile of BMI. The explanation for this association is unclear, and may simply be chance. Thus, these data confirm the absence of a significant impact of the A370T polymorphism on LDL receptor function, at least as measured by the effect on plasma lipid levels and CHD risk. [source]


    P-Wave Indices, Distribution and Quality Control Assessment (from the Framingham Heart Study)

    ANNALS OF NONINVASIVE ELECTROCARDIOLOGY, Issue 1 2010
    Jared W. Magnani M.D.
    Background: P-wave indices of maximum P-wave duration and P-wave dispersion have been examined in a broad array of cardiovascular and noncardiovascular disease states. The P-wave indices literature has been highly heterogeneous in measurement methodologies, described quality control metrics, and distribution of values. We therefore sought to determine the reproducibility of P-wave indices in a community-based cohort. Methods: P-wave indices were measured in sequential subjects enrolled in the Framingham Heart Study. Electrocardiograms were obtained at the 11th biennial visit of the Original Cohort (n = 250) and the initial visit of the Offspring Cohort (n = 252). We determined the mean P-wave durations, interlead correlations, and P-wave indices. We then chose 20 ECGs, 10 from each cohort, and assessed intrarater and interrater variability. Results: The maximum P-wave duration ranged from 71 to 162 ms with mean of 112 ± 12 ms. The minimum P-wave duration ranged from 35 to 103 ms with mean of 65 ± 10 ms. P-wave dispersion ranged from 12 to 82 ms. The mean P-wave dispersion was 48 ± 12 ms (40,56). The intrarater intraclass correlation coefficient (ICC) was r = 0.80 for maximum P-wave duration and r = 0.82 for P-wave dispersion. The interrater ICC was 0.56 for maximum P-wave duration and 0.70 for P-wave dispersion. Conclusions: We demonstrated excellent intrarater reproducibility and fair interrater reproducibility for calculating P-wave indices. Reproducibility is frequently lacking in studies of P-wave indices, but is an essential component for the field's growth and epidemiologic contribution. Ann Noninvasive Electrocardiol 2010;15(1):77,84 [source]


    Psychological Characteristics and Social Integration of Patients with Ischemic and Non-Ischemic Heart Failure Newly Listed for Heart Transplantation: The Waiting for a New Heart Study

    APPLIED PSYCHOLOGY: HEALTH AND WELL-BEING, Issue 2 2009
    Heike Spaderna
    It is not known whether psychosocial risk factors for coronary artery disease (CAD) are present in patients listed for heart transplantation (HTx). The aim of this study was to examine whether HTx candidates with ischemic heart failure (due to CAD) have an adverse psychological risk profile and reduced social integration compared to patients with non-ischemic etiology. In the multi-site study "Waiting for a New Heart", waiting-list-related stressors, depression, anxiety, trait-anger, anger-expression, dispositional coping, social integration, and social support were assessed in 318 newly registered HTx candidates (53.5 ± 11.4 years, 18% female, left ventricular ejection fraction <25%). Medical parameters at time of listing were provided by Eurotransplant. Analyses revealed a high level of stress (on average 70% of 50 HTx-related stressors), and signs of clinical depression in 39 per cent of the sample. Social integration was correlated with reduced depression (p < .05). While ischemic and non-ischemic groups were comparable in terms of disease severity, men with CAD reported significantly more anxiety, anger, anger-in, and less social integration than non-ischemic men after adjusting for age and marital status (ps < .05). To conclude, psychosocial stress is common in HTx candidates, particularly in men with underlying CAD. Thus, targeting psychosocial stress and increasing social integration may enhance well-being in patients waiting for a new heart. [source]


    Epidemiology of gout in women: Fifty-two,year followup of a prospective cohort

    ARTHRITIS & RHEUMATISM, Issue 4 2010
    Vidula Bhole
    Objective Despite the recent doubling of the incidence of gout among women and its substantial prevalence particularly in the aging female population, the risk factors for gout among women remain unknown. We undertook this study to evaluate purported risk factors for incident gout among women and to compare them with those among men. Methods Using prospective data from the Framingham Heart Study, we examined over a 52-year period (1950,2002) the relationship between purported risk factors and the incidence of gout in 2,476 women and 1,951 men. Results We documented 304 incident cases of gout, 104 of them among women. The incidence rates of gout for women per 1,000 person-years according to serum uric acid levels of <5.0, 5.0,5.9, 6.0,6.9, 7.0,7.9, and ,8.0 mg/dl were 0.8, 2.5, 4.2, 13.1, and 27.3, respectively (P for trend < 0.0001). The magnitude of this association was lower than that among men (P for interaction = 0.0002). Multivariate relative risks conferred by increasing age (per 5 years), obesity (body mass index ,30 kg/m2), alcohol intake (,7 ounces of pure alcohol/week), hypertension, and diuretic use were 1.24, 2.74, 3.10, 1.82, and 2.39, respectively (all P < 0.05), for women. Conclusion These prospective data with long-term followup provide evidence that higher levels of serum uric acid increase the risk of gout in a graded manner among women, but the rate of increase is lower than that among men. Increasing age, obesity, alcohol consumption, hypertension, and diuretic use were associated with the risk of incident gout among women. [source]


    On Latent-Variable Model Misspecification in Structural Measurement Error Models for Binary Response

    BIOMETRICS, Issue 3 2009
    Xianzheng Huang
    Summary We consider structural measurement error models for a binary response. We show that likelihood-based estimators obtained from fitting structural measurement error models with pooled binary responses can be far more robust to covariate measurement error in the presence of latent-variable model misspecification than the corresponding estimators from individual responses. Furthermore, despite the loss in information, pooling can provide improved parameter estimators in terms of mean-squared error. Based on these and other findings, we create a new diagnostic method to detect latent-variable model misspecification in structural measurement error models with individual binary response. We use simulation and data from the Framingham Heart Study to illustrate our methods. [source]


    Hypertension in Women: The Women Take Heart Project

    JOURNAL OF CLINICAL HYPERTENSION, Issue 1 2003
    Alice A. Furumoto-Dawson PhD
    Hypertension is an important, modifiable risk for cardiovascular disease. The Women Take Heart study, a prospective, community-based cohort study of risk factors for heart disease, provides an opportunity to examine prevalence, awareness, and control of hypertension specifically in women. In 1992, 5932 women, age 35 and older (mean age, 52.9; 86% white, 9% African American, 5% other) and free of active heart disease symptoms for 3 months, were recruited through Chicago area public announcements, and their baseline examination data analyzed. Overall, 47.6% were hypertensive (systolic blood pressure 140 mm Hg or diastolic blood pressure 90 mm Hg, or self-report). Only 17.3% reported being hypertensive; in 63.2% of all hypertensive women, the hypertension was undetected or unacknowledged. Blood pressure was controlled to <140/90 mm Hg in 24.1% of self-reported hypertensives. Results from this study and national surveys indicate that hypertension detection and control remain major public health challenges in preventing cardiovascular disease in older women. [source]