The dynamic relationship between systolic and diastolic blood pressure: yet another marker of vascular aging?

ExPRSweb: An online repository with polygenic risk scores for common health-related exposures

Complex traits are influenced by genetic risk factors, lifestyle, and environmental variables, so-called exposures. Some exposures, e.g., smoking or lipid levels, have common genetic modifiers identified in genome-wide association studies. Because measurements are often unfeasible, exposure polygenic risk scores (ExPRSs) offer an alternative to study the influence of exposures on various phenotypes. Here, we collected publicly available summary statistics for 28 exposures and applied four common PRS methods to generate ExPRSs in two large biobanks: the Michigan Genomics Initiative and the UK Biobank. We established ExPRSs for 27 exposures and demonstrated their applicability in phenome-wide association studies and as predictors for common chronic conditions. Especially the addition of multiple ExPRSs showed, for several chronic conditions, an improvement compared to prediction models that only included traditional, disease-focused PRSs. To facilitate follow-up studies, we share all ExPRS constructs and generated results via an online repository called ExPRSweb.

Genome-wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores

Systolic and diastolic blood pressure (S/DBP) are highly correlated modifiable risk factors for cardiovascular disease (CVD). We report here a bidirectional Mendelian Randomization (MR) and horizontal pleiotropy analysis of S/DBP summary statistics from the UK Biobank (UKB)-International Consortium for Blood Pressure (ICBP) (UKB-ICBP) BP genome-wide association study and construct a composite genetic risk score (GRS) by including pleiotropic variants. The composite GRS captures greater (1.11-3.26 fold) heritability for BP traits and increases (1.09- and 2.01-fold) Nagelkerke's R² for hypertension and CVD. We replicated 118 novel BP horizontal pleiotropic variants including 18 novel BP loci using summary statistics from the Million Veteran Program (MVP) study. An additional 219 novel BP signals and 40 novel loci were identified after a meta-analysis of the UKB-ICBP and MVP summary statistics but without further independent replication. Our study provides further insight into BP regulation and provides a novel way to construct a GRS by including pleiotropic variants for other complex diseases.

Comparison of hypertensive outcomes after the implementation of self-management program for older adults with uncontrolled hypertension in Krabi, Thailand: a quasi-experimental study

Purpose

This study aims to examine the effects of a self-management program (SMP) on self-care behavior, blood pressure and quality of life among older adults with uncontrolled hypertension.

Design/methodology/approach

A quasi-experimental design with repeated measures was conducted in two primary care units in Krabi, Thailand. One hundred and fifty-six older adults with uncontrolled hypertension were selected based on the inclusion criteria and divided into experimental and control groups with 78 participants in each. The experimental group received the SMP, including the intervention related to the self-management process (from the 1st to 4th weeks) and a follow-up phase (from the 5th to 16th weeks). The control group received standard care. The outcomes were measured over time, including self-care behavior (baseline, 4th and 16th weeks), blood pressure (baseline, 4th, 8th, 12th and 16th weeks) and quality of life (baseline and 16th week).

Findings

The generalized estimating equations showed that the SMP, compared with the control group, statistically significantly improved self-care behavior (p < 0.001), decreased blood pressure (p < 0.001) and improved quality of life (p < 0.001) at the 16th week.

Originality/value

The SMP improved the self-care behavior, decreased blood pressure and improved the quality of life among older adults with uncontrolled hypertension. Registered nurses could administer this program for long-term benefits and help reduce the burden on primary care services.

Blood pressure control practice and determinants among ambulatory hypertensive patients attending primary health care facilities in Addis Ababa

Background:

Hypertension is the major risk factor for cardiovascular diseases related morbidity and mortality. Blood pressure is often not adequately controlled in clinical practice. Information regarding blood pressure control in primary care settings is limited in Ethiopia.

Objectives:

This study aimed to assess blood pressure control practice and determinates among hypertensive patients attending primary health care facilities in Addis Ababa.

Methods:

A cross-sectional study was conducted on 616 hypertension patients in 12 health centers in Addis Ababa city. Data were collected by interviewing patients and reviewing their medical records. Data were collected from 3 August to 30 October 2015.

Results:

A complete information was obtained from 616 patients’ medical records, and patients were then interviewed. The mean age was 58.90 (SD ± 13.04) years, and most of them (n = 321, 52.1%) were 60 years old or above, and more than three-fourth (n = 485) were on monotherapy. Methyldopa was the most monotherapy medication prescribed, 128 (20.8%). Only 31% (n = 191) of the patients had controlled blood pressure. Determinants for poor blood pressure control were age less than 60 years (adjusted odds ratio (AOR) = 3.06, 95% confidence interval (CI): 1.96, 4.78); work status: government employee (AOR = 2.41, 95% CI: 1.18, 4.90), retired (AOR = 1.79, 95% CI: 1.01, 3.18), and private business (AOR = 2.09, 95% CI: 1.17, 3.74); and being hypertensive for 10 or more years (AOR = 1.96, 95% CI: 1.11, 3.43). Significant predictors of achieving controlled blood pressure were weekly blood pressure measurement practice (AOR = 0.57, 95% CI: 0.36, 0.90) and tertiary-level education (AOR = 0.26, 95% CI: 0.13, 0.54).

Conclusions:

Only one-third of the patients had controlled blood pressure. Efforts should be made to address identified determinants including age, regular blood pressure monitoring practice, and level of education.

Risk Stratification in Idiopathic Dilated Cardiomyopathy Patients Using Cardiovascular Coupling Analysis

Cardiovascular diseases are one of the most common causes of death; however, the early detection of patients at high risk of sudden cardiac death (SCD) remains an issue. The aim of this study was to analyze the cardio-vascular couplings based on heart rate variability (HRV) and blood pressure variability (BPV) analyses in order to introduce new indices for noninvasive risk stratification in idiopathic dilated cardiomyopathy patients (IDC). High-resolution electrocardiogram (ECG) and continuous noninvasive blood pressure (BP) signals were recorded in 91 IDC patients and 49 healthy subjects (CON). The patients were stratified by their SCD risk as high risk (IDC_HR) when after two years the subject either died or suffered life-threatening complications, and as low risk (IDC_LR) when the subject remained stable during this period. Values were extracted from ECG and BP signals, the beat-to-beat interval, and systolic and diastolic blood pressure, and analyzed using the segmented Poincaré plot analysis (SPPA), the high-resolution joint symbolic dynamics (HRJSD) and the normalized short time partial directed coherence methods. Support vector machine (SVM) models were built to classify these patients according to SCD risk. IDC_HR patients presented lowered HRV and increased BPV compared to both IDC_LR patients and the control subjects, suggesting a decrease in their vagal activity and a compensation of sympathetic activity. Both, the cardio -systolic and -diastolic coupling strength was stronger in high-risk patients when comparing with low-risk patients. The cardio-systolic coupling analysis revealed that the systolic influence on heart rate gets weaker as the risk increases. The SVM IDC_LR vs. IDC_HR model achieved 98.9% accuracy with an area under the curve (AUC) of 0.96. The IDC and the CON groups obtained 93.6% and 0.94 accuracy and AUC, respectively. To simulate a circumstance in which the original status of the subject is unknown, a cascade model was built fusing the aforementioned models, and achieved 94.4% accuracy. In conclusion, this study introduced a novel method for SCD risk stratification for IDC patients based on new indices from coupling analysis and non-linear HRV and BPV. We have uncovered some of the complex interactions within the autonomic regulation in this type of patient.