Systematic review of genetic risk score in coronary heart disease and other diseases

In order to better take advantage of the abundant results from large-scale genomic association studies, investigators are turning to a genetic risk score (GRS) method in order to combine the information from common modest-effect risk alleles into an efficient risk assessment statistic. The statistical properties of these GRSs are poorly understood. As a first step toward a better understanding of GRSs, a systematic analysis of recent investigations using a GRS was undertaken. GRS studies were searched in the areas of coronary heart disease (CHD), cancer, and other common diseases using bibliographic databases and by hand-searching reference lists and journals. Twenty-one independent case-control studies, cohort studies, and simulation studies (12 in CHD, 9 in other diseases) were identified. The underlying statistical assumptions of the GRS using the experience of the Framingham risk score were investigated. Improvements in the construction of a GRS guided by the concept of composite indicators are discussed. The GRS will be a promising risk assessment tool to improve prediction and diagnosis of common diseases.^

Factors affecting the symptom burden in chronic heart failure

Background. Heart failure (HF) is a health problem of epidemic proportions and a clinical syndrome that leads to progressively severe symptoms, which contribute significantly to the burden of the disease. Several factors may affect the symptom burden of patients with HF, including physiological, psychological, and spiritual factors. This study was designed to examine the inter-relationship of physiological, psychological, and spiritual factors affecting symptoms for patients with HF. ^ Objectives. The aims of this study were to examine symptom burden of heart failure patients related to: (1) the physiological factor of brain natriuretic peptide (BNP); (2) the psychological factor of depression; (3) the spiritual factors of self transcendence and purpose in life; and (4) combined effects of physiological, psychological and spiritual factors. One additional aim was to describe symptom intensity related to symptom burden. ^ Methods. A cross-sectional non-experimental correlational design was used to examine factors affecting symptom burden in 105 patients with HF from a southwestern medical center outpatient heart failure clinic. Both men and women were included; average age was 56.6 (SD = 16.86). All measures except BNP were obtained by patient self-report. ^ Results. The mean number of symptoms present was 8.17 (SD = 3.34) with the three most common symptoms being shortness of breath on exertion, fatigue, and weakness. The mean symptom intensity was 365.66 (SD = 199.50) on a summative scale of visual analogue reports for 13 symptoms. The mean BNP level was 292.64 pg/ml (SD = 57 1.11). The prevalence rate for depression was 43.6% with a mean score of 3.48 (SD = 2.75) on the Center for Epidemiological Studies - Depression scale (CES-D 10) scale. In a multivariate analysis, depression was the only significant predictor of symptom burden (r = .474; P < .001), accounting for 18% of the variance. Spirituality had an interaction effect with depression (P ≤ .001), serving as a moderator between depression and symptom burden. ^ Conclusion. HF is a chronic and progressive syndrome characterized by severe symptoms, hospitalizations and disability. Depression is significantly related to symptom burden and this relationship is moderated by spirituality. ^

Association between glycemic index and glycemic load and the risk of incident coronary heart disease among whites and African Americans with and without type 2 diabetes: The Atherosclerosis Risk in Communities study

Several studies have examined the association between high glycemic index (GI) and glycemic load (GL) diets and the risk for coronary heart disease (CHD). However, most of these studies were conducted primarily on white populations. The primary aim of this study was to examine whether high GI and GL diets are associated with increased risk for developing CHD in whites and African Americans, non-diabetics and diabetics, and within stratifications of body mass index (BMI) and hypertension (HTN). Baseline and 17-year follow-up data from ARIC (Atherosclerosis Risk in Communities) study was used. The study population (13,051) consisted of 74% whites, 26% African Americans, 89% non-diabetics, 11% diabetics, 43% male, 57% female aged 44 to 66 years at baseline. Data from the ARIC food frequency questionnaire at baseline were analyzed to provide GI and GL indices for each subject. Increases of 25 and 30 units for GI and GL respectively were used to describe relationships on incident CHD risk. Adjusted hazard ratios for propensity score with 95% confidence intervals (CI) were used to assess associations. During 17 years of follow-up (1987 to 2004), 1,683 cases of CHD was recorded. Glycemic index was associated with 2.12 fold (95% CI: 1.05, 4.30) increased incident CHD risk for all African Americans and GL was associated with 1.14 fold (95% CI: 1.04, 1.25) increased CHD risk for all whites. In addition, GL was also an important CHD risk factor for white non-diabetics (HR=1.59; 95% CI: 1.33, 1.90). Furthermore, within stratum of BMI 23.0 to 29.9 in non-diabetics, GI was associated with an increased hazard ratio of 11.99 (95% CI: 2.31, 62.18) for CHD in African Americans, and GL was associated with 1.23 fold (1.08, 1.39) increased CHD risk in whites. Body mass index modified the effect of GI and GL on CHD risk in all whites and white non-diabetics. For HTN, both systolic blood pressure and diastolic blood pressure modified the effect on GI and GL on CHD risk in all whites and African Americans, white and African American non-diabetics, and white diabetics. Further studies should examine other factors that could influence the effects of GI and GL on CHD risk, including dietary factors, physical activity, and diet-gene interactions. ^

The effect of yoga on cardiovascular health as measured by heart rate variability in a sample of breast cancer patients

The study is a three-armed randomized controlled trial comparing values for heart rate variability (HRV), a measure of cardiovascular health, throughout a yoga intervention of breast cancer patients undergoing radiotherapy. Patients attended either a yoga (n=45), stretch, (n=46), or control (n=42) condition 3 times per week for 6 weeks of radiation. Electrocardiograms (ECGs) were conducted on each participant to provide the values necessary for HRV analysis. Analyses focused on examining scores for those participants with HRV baseline values considered to be below the cutoff point for healthy HRV levels, defined by the authors as below the cutpoint of 68 ms. From the entire sample of 133 with available baselines, 26 yogis, 26 stretchers, and 23 controls were determined to be “pathologic” in terms of HRV, and selected for follow-up analysis at 3 weeks and then again at 6 weeks. Though no statistically significant differences were found between either group means at each timepoint or group change score means, the yoga group had consistently higher mean score and mean change scores. These findings are suggestive and indicate the need to refine the use of ECGs and HRV analysis programs to more accurately and comprehensively assess the effects of yoga on cardiovascular health in cancer patients.^