Independent Predictor Of Cardiovascular Disease Research Articles

Determinants of cardiovascular disease among type 2 diabetic patients attending diabetic follow-up clinic in Arba Minch general hospital, southern Ethiopia: an unmatched case-control study.

Cardiovascular disease (CVD) is a major cause of death and disability among patients with type 2 diabetes, especially in low-income and middle-income countries. Type 2 diabetes mellitus (T2DM) patients have a 2-4-fold increased risk of CVD. There is limited data about cardiovascular disease risks and its determinants among T2DM patients in Ethiopia. This study aimed to identify possible predictors of cardiovascular diseases among adults with T2DM in southern Ethiopia. A hospital-based unmatched case-control study was conducted at southern Ethiopia Arbaminch Hospital on 196 randomly selected patients with type 2 diabetes on follow-up (98 cases and 98 controls). The authors collected data using a structured interviewer-administered questionnaire, laboratory checklist, and additional document review of T2DM patients. A multivariable binary logistic regression was fitted to identify cardiovascular disease determinants, and the findings were presented using an adjusted odds ratio (AOR) with a 95% CI. The mean reported age (±SD) of the cases and the controls was 56.3.3 (±8.9) and 52.3 (±9.3) years, respectively. The two identified independent determinants of cardiovascular disease with AOR [95% CI] were hypertension [AOR=4.953, 95% CI (2.47, 9.93) and persistent urine albuminuria [AOR=12.9, 95% CI (3.98, 41.7)]. This study showed that having high blood pressure and persistent urine albuminuria are independent predictors of cardiovascular disease in T2DM patients. The current study setting needs an intervention for mitigating these cardiovascular disease determinants.

Association of the trimethylamine N-oxide with cardiovascular risk and vascular alterations in middle-aged patients with risk factors for cardiovascular diseases.

Trimethylamine N-oxide (TMAO) is synthesized by the intestinal microbiota and is an independent predictor of cardiovascular disease (CVD). However, its underlying mechanisms remain unclear. We investigated TMAO levels across different CVD-risk patient groups, and evaluated associations between TMAO and vascular alterations (e.g., arterial stiffness, intima-media thickness (IMT), and the presence and grade of carotid artery plaques (CAPs)).Methods: We examined 95 patients (58.5 ± 7.3 years): 40 with clinical atherosclerotic cardiovascular disease (ASCVD), 40 with atherosclerosis risk factors (RF), and 15 controls. Arterial stiffness was measured by Carotid-Femoral Pulse Wave Velocity (C-F PWV). B-mode ultrasound was used to evaluate the presence and grade of CAPs and carotid IMT (CIMT). TMAO was measured by high performance liquid chromatography-tandem mass spectrometry (LC-MS/MS) and results were presented as the median (interquartile range).Results: TMAO levels were higher in patients with ASCVD (251.5 (164.5) µg/l) when compared to patients with RFs (194.0 (174) µg/l, p = 0.04) and controls (122.0 (77) µg/l, p < 0.001). A significant correlation was observed between TMAO and PWV (r = 0.31, p = 0.003), which was not confirmed after adjustment for RFs. TMAO levels were significantly correlated with plaque score (r = 0.46, p < 0.001) and plaque height (r = 0.41, p = 0.003), and were independent predictors for grade III plaques (odds ratio (OR) = 1.002, confidence interval (CI) 95%: 1.000047-1.003, p = 0.044).Conclusions: TMAO levels are increased with expanded CVD risk. Across different types of vascular damage, TMAO is associated with atherosclerotic changes.

Relationship between arginine methylation and vascular calcification

In patients on maintenance hemodialysis (MHD), vascular calcification (VC) is an independent predictor of cardiovascular disease (CVD), which is the primary cause of death in chronic kidney disease (CKD). The main component of VC in CKD is the vascular smooth muscle cells (VSMCs). VC is an ordered, dynamic activity. Under the stresses of oxidative stress and calcium‐‑phosphorus imbalance, VSMCs undergo osteogenic phenotypic transdifferentiation, which promotes the formation of VC. In addition to traditional epigenetics like RNA and DNA control, post-translational modifications have been discovered to be involved in the regulation of VC in recent years. It has been reported that the process of osteoblast differentiation is impacted by catalytic histone or non-histone arginine methylation. Its function in the osteogenic process is comparable to that of VC. Thus, we propose that arginine methylation regulates VC via many signaling pathways, including as NF-B, WNT, AKT/PI3K, TGF-/BMP/SMAD, and IL-6/STAT3. It might also regulate the VC-related calcification regulatory factors, oxidative stress, and endoplasmic reticulum stress. Consequently, we propose that arginine methylation regulates the calcification of the arteries and outline the regulatory mechanisms involved.

Abstract P539: Association of Physical Activity With Aortic Stiffness in the Jackson Heart Study

Introduction: Arterial stiffness, defined as high rigidity of the arterial wall, results from vascular aging, and is associated with cardiovascular disease (CVD) later in the lifespan. The reference standard for central aortic stiffening is carotid-femoral pulse wave velocity (CFPWV). Hypothesis: Higher levels of physical activity are associated with lower levels of aortic stiffness, as measured by CFPWV, among African Americans. Methods: A secondary analysis was conducted on data from 1,226 participants in the Jackson Heart Study (JHS) who underwent arterial tonometry assessment for CFPWV (2011-2016) and had physical activity data available. Physical activity was assessed using a 30-item questionnaire that measured four domains: active living habits, work, home life, and sport/exercise activities. Scores were summed across all domains, with higher scores representing higher physical activity (range = 0-16). Higher CFPWV, measured in meters per second (m/s), indicated increased arterial stiffness. Linear regression models (adjusted for sex and age, and multivariable-adjusted for CVD risk factors) were used to assess the association of physical activity with CFPWV. Results: The sample was 60.3% female with a mean age of 59.02 (SD=10.02). The mean physical activity score was 6.16 (2.27) and mean CFPWV value was 10.3m/s (3.84). There was a significant inverse association between physical activity score and CFPWV across both models. With each 1-unit increase in the total physical activity score, CFPWV was -0.14 m/s lower [95% CI -0.22, -0.06] in the model adjusted for age and sex. In the multivariable adjusted model, the magnitude of the association was similar, B = -0.13, 95% CI [-0.20, -0.05]. Conclusions: In this sample of African Americans, greater physical activity was associated with lower levels of aortic stiffness. Given that aortic stiffness is an independent predictor of CVD, longitudinal investigations of the association between physical activity and CFPWV are needed, including exploring whether physical activity interventions can improve aortic stiffness.

Cross-sectional analysis of cardiovascular disease and risk factors in patients with spondyloarthritis: a real-life evidence from biostar nationwide registry

The association between spondyloarthritis and cardiovascular (CV) diseases is complex with variable outcomes. This study aimed to assess the prevalence rates of CV diseases and to analyze the impact of CV risk factors on CV disease in patients with spondyloarthritis. A multi-center cross-sectional study using the BioSTAR (Biological and Targeted Synthetic Disease-Modifying Antirheumatic Drugs Registry) database was performed on patients with spondyloarthritis. Socio-demographic, laboratory, and clinical data were collected. Patients with and without major adverse cardiovascular events (MACE) were grouped as Group 1 and Group 2. The primary outcome was the overall group’s prevalence rates of CV disease and CV risk factors. The secondary outcome was the difference in socio-demographic and clinical characteristics between the groups and predictive risk factors for CV disease. There were 1457 patients with a mean age of 45.7 ± 10.9 years. The prevalence rate for CV disease was 3% (n = 44). The distribution of these diseases was coronary artery disease (n = 42), congestive heart failure (n = 4), peripheral vascular disorders (n = 6), and cerebrovascular events (n = 4). Patients in Group 1 were significantly male (p = 0.014) and older than those in Group 2 (p < 0.001). There were significantly more patients with hypertension, diabetes mellitus, chronic renal failure, dyslipidemia, and malignancy in Group 1 than in Group 2 (p < 0.05). Smoking (36.7%), obesity (24.4%), and hypertension (13.8%) were the most prevalent traditional CV risk factors. Hypertension (HR = 3.147, 95% CI 1.461–6.778, p = 0.003), dyslipidemia (HR = 3.476, 95% CI 1.631–7.406, p = 0.001), and cancer history (HR = 5.852, 95% CI 1.189–28.810, p = 0.030) were the independent predictors for CV disease. A multi-center cross-sectional study using the BioSTAR (Biological and Targeted Synthetic Disease-Modifying Antirheumatic Drugs Registry) database was performed on patients with spondyloarthritis. Socio-demographic, laboratory, and clinical data were collected. Patients with and without major adverse cardiovascular events (MACE) were grouped as Group 1 and Group 2. The primary outcome was the overall group’s prevalence rates of CV disease and CV risk factors. The secondary outcome was the difference in socio-demographic and clinical characteristics between the groups and predictive risk factors for CV disease. There were 1457 patients with a mean age of 45.7 ± 10.9 years. The prevalence rate for CV disease was 3% (n = 44). The distribution of these diseases was coronary artery disease (n = 42), congestive heart failure (n = 4), peripheral vascular disorders (n = 6), and cerebrovascular events (n = 4). Patients in Group 1 were significantly male (p = 0.014) and older than those in Group 2 (p < 0.001). There were significantly more patients with hypertension, diabetes mellitus, chronic renal failure, dyslipidemia, and malignancy in Group 1 than in Group 2 (p < 0.05). Smoking (36.7%), obesity (24.4%), and hypertension (13.8%) were the most prevalent traditional CV risk factors. Hypertension (HR = 3.147, 95% CI 1.461–6.778, p = 0.003), dyslipidemia (HR = 3.476, 95% CI 1.631–7.406, p = 0.001), and cancer history (HR = 5.852, 95% CI 1.189–28.810, p = 0.030) were the independent predictors for CV disease. The prevalence rate of CV disease was 3.0% in patients with spondyloarthritis. Hypertension, dyslipidemia, and cancer history were the independent CV risk factors for CV disease in patients with spondyloarthritis.

Menopause and accelerated aortic stiffness

BackgroundThe menopausal transition is widely believed to increase the risk of cardiovascular disease, based on the notion that estrogen is cardioprotective in women. While aortic stiffness is an independent predictor of cardiovascular disease, it has been unclear whether this risk increases during menopause. ObjectiveThis study aimed to determine the association between changes in menopausal status and aortic stiffness. Main outcome measuresMenopausal status was classified using the Stages of Reproductive Aging in Women criteria in a stratified random sample of Australian women aged 40–80 years, at three time-points over 14 years (n = 469 in 2001–02 and 2005, and n = 323 in 2014). Aortic stiffness was measured non-invasively via carotid-femoral pulse wave velocity at each time point. Mixed modeling was employed to determine the independent associations between menopausal status and aortic stiffness accounting for multiple covariates including age, systolic blood pressure, heart rate, medications, cholesterol, waist circumference, smoking and diabetes status. ResultsThere was no evidence to support an association between the menopausal transition and an acceleration of aortic stiffness. However, there was an acceleration of aortic stiffness in the late (8+ years) postmenopause phase, after accounting for age and traditional cardiovascular risk factors (0.122 [95%CI: 0.106, 0.139] m/s/year; p < 0.001). ConclusionsThe menopausal transition is not associated with major changes in aortic stiffness beyond normal age-related effects. However, the clinically significant acceleration in aortic stiffness observed in late postmenopause may contribute to greater cardiovascular risk in this later life phase.Study registered in the Australian and New Zealand Clinical Trials Registry, reference ACTRN12618000005257.

A Cloud-Based Assessment of Arterial Stiffness Through Contour Analysis of A Photoplethysmography

&lt;p&gt;Cardiovascular diseases (CVDs) are the leading cause of mortality globally. To effectively prevent CVDs, a variety of techniques have been employed to evaluate the mechanical properties of arteries, among which, aortic stiffness measured by aortic pulse wave velocity (PWV) has been proven to be an independent predictor of CVDs. However, the traditional way to measure PWV is complex and time consuming. Recent studies suggest the digital volume pulse (DVP) waveform to be an effective non-invasive method to obtain PWV. In this study, we present a cloud computing system that analyzes and calculates the relevant indices of arterial stiffness after receiving the measured DVP signals. The result of the analysis can be retrieved online for the user to view or download for further analysis. With this technique, arterial Stiffness Index (SI) for population can be obtained easily and inexpensively. This will help health authorities to do mass screening at population level and, hence, establish references of arterial SI for different cohorts by age, gender, ethnicity, and diseases.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;

Abstract 16730: Neighborhood Deprivation and Left Ventricular Mass in Women, NGHS Longitudinal Cohort Analysis

Left ventricular hypertrophy is an independent predictor of cardiovascular disease. Neighborhood level deprivation is a risk factor for increased morbidity and mortality for a variety of diseases and conditions. However, to date, no study has assessed the relationship between neighborhood level deprivation and left ventricular hypertrophy. Methods: The NHLBI National Growth and Health Study (NGHS) is a 36-year longitudinal study of 871 women (50% white/50% Black). All participants were enrolled between 9-10 years of age in 1987. Annual assessments of anthropometric, echocardiographic and neighborhood level deprivation data, between the ages of 20-28 years (visits 11-17), were analyzed. We assessed the relationship between quartiles of deprivation index (DI) (high/worst, moderately high, moderately low, low/best) at ~age 20 years with levels of systolic blood pressure (SBP), body mass index (BMI) and indexed left ventricular mass (LVMI, g/m 2.7 ), between ages 20-28, adjusting for race. Results: Data from 531 (55% Black) women were examined. Compared to the lowest DI quartile, the highest DI quartile exposure at ~20 years was associated with a 3.37 [1.34, 8.44] greater odds of BMI &gt; 30 (obesity) at age 28, p=0.01 . An interaction between visit and DI quartile was significant, such that women in the highest DI quartile at age 20 had greater increases in BMI by age 28 than those in lower DI quartiles ( p=0.001 , Figure 1). There was no significant relationship between SBP and DI quartile in this cohort (data not shown). Compared with women who resided in the lower 2 DI quartiles at age 20, the LVMI of women exposed to higher (worse) DI was significantly greater after age 23 (visit 14 , p&lt;0.05 , Figure 2). Conclusion(s): In summary, increased deprivation is associated with increased BMI in young adult women, adjusting for race. In addition, increased deprivation is also associated with greater indexed left ventricular mass, an independent predictor of cardiovascular disease.

Unveiling the molecular Culprit of arterial stiffness in vitamin D deficiency and obesity: Potential for novel therapeutic targets

Cardiovascular diseases (CVDs) are highly associated with both vitamin D deficiency and obesity, two prevalent health conditions worldwide. Arterial stiffness, an independent predictor of CVDs, is particularly elevated in both conditions, yet the molecular mechanisms underlying this phenomenon remain elusive, hindering effective management of CVDs in this population. We recruited 20 middle-aged Emiratis, including 9 individuals with vitamin D deficiency (Vit D level ≤20 ng) and obesity (BMI ≥30) and 11 individuals as control with Vit D level >20 ng and BMI <30. We measured arterial stiffness using pulse wave velocity (PWV) and performed whole transcriptome sequencing to identify differentially expressed genes (DEGs) and enriched pathways. We validated these findings using qRT-PCR, Western blot, and multiplex analysis. PWV was significantly higher in the vitamin D deficient and obese group relative to controls (p ≤ 0.05). The DEG analysis revealed that pathways related to interleukin 1 (IL-1), nitrogen metabolism, HIF-1 signaling, and MAPK signaling were over-activated in the vitamin D deficient and obese group. We found that HIF-1alpha, NOX-I, NOX-II, IL-1b, IL-8, IL-10, and VEGF were significantly upregulated in the vitamin D deficient and obese group (p < 0.05). Our study provides new insights into the molecular mechanisms of arterial stiffness in vitamin D deficiency and obesity, demonstrating the role of oxidative stress and inflammation in this process. Our findings suggest that these biomarkers may serve as potential therapeutic targets for early prevention of CVDs. Further studies are needed to investigate these pathways and biomarkers with larger cohort.

The relationship between insulin resistance, serum alkaline phosphatase, and left ventricular dysfunction following myocardial infarction

The occurrence of heart failure following acute myocardial infarction (AMI) significantly increases the risk of post-infarction mortality. Alkaline phosphatase (AP) is considered to be an independent predictor of cardiovascular disease (CVD) and adverse outcomes. Furthermore, in recent years, alkaline phosphatase has been associated with insulin resistance (IR). Our aim was to investigate the correlation between IR substitutes (triglyceride-glucose (TyG) index, triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio), AP, and LV dysfunction in patients admitted after AMI. The retrospective study included 810 patients who underwent coronary angiography for myocardial infarction at the First Hospital of Hebei Medical University from August 2018 to December 2021. Patients were categorized into three groups based on their serum AP levels. Clinical characteristics at admission, cardiac echocardiography findings, coronary angiography results, and biochemical markers such as serum AP levels and triglycerides (TG) were recorded during hospitalization. Left ventricular ejection fraction (LVEF) was assessed using cardiac echocardiography conducted from the time of admission until the coronary angiography procedure. A total of 774 patients with AMI were included in this study. The TyG index is significantly correlated with the TG/HDL-C ratio. (R = 0.739, P < 0.001). Binary logistic regression analysis revealed that elevated serum AP (OR 2.598, 95% CI 1.331–5.071, P = 0.005), presence of the left anterior descending (LAD) artery as the infarct-related artery (IRA) (OR 2.452, 95% CI 1.352–4.449, P = 0.003), and triglyceride (TG) levels (OR 0.652, 95% CI 0.429–0.992, P = 0.046) were protective risk factor for an admission LVEF < 40% following AMI. The serum alkaline phosphatase and LAD as IRA are independent risk factors for severe reduction in LVEF during hospitalization for AMI. Conversely, triglyceride are independent protective factor for severe reduction in LVEF during AMI hospitalization.

A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease.

Cardiovascular disease (CVD) and mortality is elevated in chronic kidney disease (CKD). Retinal vessel calibre in retinal photographs is associated with cardiovascular risk and automated measurements may aid CVD risk prediction. Retrospective cohort study of 860 Chinese, Malay and Indian participants aged 40-80 years with CKD [estimated glomerular filtration rate (eGFR) <60ml/min/1.73m2] who attended the baseline visit (2004-2011) of the Singapore Epidemiology of Eye Diseases Study. Retinal vessel calibre measurements were obtained by a deep learning system (DLS). Incident CVD [non-fatal acute myocardial infarction (MI) and stroke, and death due to MI, stroke and other CVD] in those who were free of CVD at baseline was ascertained until 31 December 2019. Risk factors (established, kidney, and retinal features) were examined using Cox proportional hazards regression models. Model performance was assessed for discrimination, fit, and net reclassification improvement (NRI). Incident CVD occurred in 289 (33.6%) over mean follow-up of 9.3 (4.3)years. After adjusting for established cardiovascular risk factors, eGFR [adjusted HR 0.98 (95% CI: 0.97-0.99)] and retinal arteriolar narrowing [adjusted HR 1.40 (95% CI: 1.17-1.68)], but not venular dilation, were independent predictors for CVD in CKD. The addition of eGFR and retinal features to established cardiovascular risk factors improved model discrimination with significantly better fit and better risk prediction according to the low (<15%), intermediate (15-29.9%), and high (30% or more) risk categories (NRI 5.8%), and with higher risk thresholds (NRI 12.7%). Retinal vessel calibre measurements by DLS were significantly associated with incident CVD independent of established CVD risk factors. Addition of kidney function and retinal vessel calibre parameters may improve CVD risk prediction among Asians with CKD.

Relationship between defecation status and blood pressure level or blood pressure variability.

Blood pressure variability is an independent predictor of cardiovascular disease. Defecation status has also been associated with the risk of developing cardiovascular disease. This study aimed to investigate the association between blood pressure variability and defecation status. A total of 184 participants who could measure their home blood pressure for at least 8 days monthly, both at baseline and 1 year later, were included in this study. All participants had their home blood pressure measured using HEM-9700T (OMRON Healthcare). Day-to-day variability of systolic blood pressure was assessed using the coefficient of variation of home systolic blood pressure during 1 month. Data on defecation status was obtained using a questionnaire survey. Eighty-nine patients had an elevated coefficient of variation at 1 year. The proportion of participants with elevated coefficient of variation at 1 year was significantly higher in the no daily bowel movement group than in the daily bowel movement group (72% vs. 42%, P = 0.001). In multivariable logistic regression analysis with the elevated coefficient of variation at 1 year as the objective variable and age, sex, no daily bowel movement, taking medications, including antihypertensive drugs, laxatives, and intestinal preparations, and coefficient of variation at baseline as independent variables, no daily bowel movement was independently associated with the elevated coefficient of variation at 1 year (odds ratio: 3.81, 95% confidence interval: 1.64-8.87, P = 0.0019). In conclusion, no daily bowel movement was independently associated with elevated day-to-day blood pressure variability at 1 year. Relationship between defecation status and blood pressure level or blood pressure variability.

Urinary Peptidomics and Pulse Wave Velocity: The African-PREDICT Study.

Increased arterial stiffness is related to early vascular aging and is an independent predictor for cardiovascular disease and mortality. Molecular mechanisms underlying increased arterial stiffness are largely unexplored, especially at the proteome level. We aimed to explore the relationship between pulse wave velocity and urinary proteomics. We included 919 apparently healthy (no chronic illnesses) Black and White men and women (equally distributed) between 20 and 30 years from the African-PREDICT study. Capillary electrophoresis time-of-flight mass spectrometry was used to analyze the urinary proteome. We measured the carotid-femoral pulse wave velocity to estimate arterial stiffness. In the total group, pulse wave velocity correlated positively with collagen-derived peptides including collagen types I, II, III, IV, V, and IX and inversely with collagen type XI (adjusted for mean arterial pressure). Regarding noncollagen-derived peptides, pulse wave velocity positively correlated with polymeric immunoglobulin receptor peptides (n = 2) (all q-value ≤0.05). In multivariable adjusted analyses, pulse wave velocity associated positively and independently with seven urinary peptides (collagen type I, n = 5) (all p-value ≤0.05). We found significant positive and independent associations between pulse wave velocity and the collagen type I-derived peptides, suggesting that dysregulation of collagen type I in the extracellular matrix scaffold could lead to early onset of increased arterial stiffness.

A systematic review and meta-analysis of cardiovascular diseases and associated factors among diabetes mellitus patients in Ethiopia

BackgroundCardiovascular disease (CVD) is the most prevalent complication and the leading cause of death and disability among patients with diabetes mellitus (DM). Over time, diabetes-related cardiovascular disease has become more common worldwide. The aim of this study was to determine the cumulative prevalence of cardiovascular disease and associated factors among diabetic patients in Ethiopia.ObjectiveThe main aim of this review was to estimate the pooled prevalence of cardiovascular disease and its associated factors among diabetic patients in Ethiopia.Methods and materialsThis review was searched using PubMed, Google, and Google Scholar search engines, and was accessed using medical subject heading (MeSH) terms for studies based in Ethiopia. Excel was used to extract the data. With a random-effects model, STATA Version 14 was used for all statistical analyses. The studies' heterogeneity and funnel plot were both examined. The study domain and authors' names were used in the subgroup analysis.ResultsIn this systematic review, 12 studies totaling 2,953 participants were included. The estimated overall prevalence of cardiovascular disease among diabetic patients in Ethiopia was 37.26% (95% CI: 21.05, 53.47, I2 = 99.3%, P ≤ 0.001). Study participants’ age older than 60 years (AOR = 4.74, 95%CI: 1.05, 8.43), BMI > 24.9kg/m2 (AOR = 4.12, 95% CI: 2.33, 5.92), triglyceride > 200mg/dl (AOR = 3.05, 95% CI: 1.26, 4.83), Hypertension (AOR = 3.26, 95% CI: 1.09, 5.43) and duration of DM > 4 years (AOR = 5.49, 95% CI: 3.27, 7.70) were significantly associated with cardiovascular disease.ConclusionsIn conclusion, diabetic patients face a serious public health risk from cardiovascular disease. This review found the following factors, which is independent predictors of cardiovascular disease in diabetic patients: age over 60, BMI > 24.9kg/m2, triglycerides > 200 mg/dl, hypertension, and diabetes duration > 4 years. The results emphasize the need for a prospective study design with a longer follow-up period to assess the long-term effects of CVD predictors in diabetic patients as well as the significance of paying attention to cardiovascular disease in diabetic patients with comorbidity.

Relationship between pulse pressure and body mass index in active-duty Royal Thai Army personnel in Thailand

BackgroundElevated pulse pressure (PP) is a robust independent predictor of cardiovascular diseases. The relationship between PP and body mass index (BMI) was presented in a few studies. However, the findings were inconsistent. Therefore, the aim of the present study is to identify the association between elevated PP and BMI using a large sample of active-duty Royal Thai Army (RTA) personnel.MethodsA cross-sectional study was conducted through the use of the dataset obtained from the annual health examination database of RTA personnel in Thailand in 2022. BMI 25.0–29.9 kg/m2 was classified as obesity I, whereas BMI ≥ 30.0 kg/m2 was classified as obesity II. Elevated PP was defined as PP ≥ 50 mmHg. Multivariable linear regression and log-binomial regression models were utilized for determining the association between elevated PP and BMI.ResultsA total of 62,113 active-duty RTA personnel were included in the study. The average BMI was 25.4 ± 3.8 kg/m2, while the average PP was 50.1 ± 11.2 mmHg. Compared to individuals with normal weight, the beta coefficients of PP and BMI were 1.38 (95% CI: 1.15–1.60) and 2.57 (95% CI: 2.25–2.88) in individuals with obesity I and obesity II, respectively. Effect modification by high blood pressure (BP) on the association between elevated PP and BMI was observed. Among participants with normal BP, in comparison with BMI of 18.5–22.9 kg/m2, the adjusted prevalence ratio (PR) for elevated PP was 1.23 (95% CI: 1.19–1.28) and 1.41 (95% CI: 1.35–1.48) in those with obesity I and obesity II, respectively. Meanwhile, among individuals with high BP, the adjusted PR for elevated PP was 1.05 (95% CI: 1.01–1.08) and 1.09 (95% CI: 1.06–1.13) in those with obesity I and obesity II, respectively.ConclusionPP was positively associated with BMI in active-duty RTA personnel. High BP was the modifier of the association between PP and BMI. A weaker association between elevated PP and BMI was observed among RTA personnel with high BP.

Features of short-term variability of arterial pressure with different types of circadian rhythm in patients with hypertension disease who have suffered myocardial infarction

Abstract. Blood pressure variability is an important prognostic parameter and is an independent predictor of cardiovascular disease and mortality. Aim. To assess short-term blood pressure variability with regard to the type of diurnal blood pressure profile in hypertensive patients with myocardial infarction. Materials and methods. 78 hypertensive men who had a myocardial infarction were examined. The average age was 58.0 (54.0; 67.0) years, the experience of hypertension was 9.0 (5.0; 18.0) years, the period after the myocardial infarction was 24.5 (12.0; 84,0) months. All patients underwent daily monitoring of blood pressure with the study of average day and night pressure levels, the degree of nocturnal decrease in blood pressure, blood pressure variability with STD calculation, pure and new variability indices. The results. Increased BP variability during the day and at night was registered with all types of circadian systolic BP rhythm. The highest values of systolic BP variability (STD) during the day and at night were in patients with a night-picker circadian profile. Achieving the target level of systolic BP as a whole in the group was observed in 34.6 % of patients during the day and 42.3 % at night. Patients with an over-dipper circadian blood pressure profile, despite having the highest percentage of target blood pressure achievement, had the highest values of variability characteristics calculated by STD, pure and new indices per day (p &lt; 0.05). Conclusions. Increased blood pressure variability and pressure level at night are important criteria for assessing the prognosis of hypertensive patients after myocardial infarction. Daily monitoring of blood pressure provides a unique opportunity to objectify these prognostic parameters at different times of the day, which, together with the assessment of reaching the target level of blood pressure, is necessary to control the effectiveness of treatment.

ASSOCIATION OF SERUM RETINOL CONCENTRATION WITH CARDIOVASCULAR DISEASES IN THE US NATIONAL HEALTH AND NUTRITION EXAMINATION SURVEY (NHANES) 2001-2006

Objective: The association between serum retinol concentration and cardiovascular disease is controversial. This study aimed to investigate the relationship between serum retinol concentration and cardiovascular diseases. Design and method: This cross-sectional study included 8240 non-pregnant participants aged over 20 in the National Health and Nutrition Examination Survey (NHANES) 2001-2006. Cardiovascular diseases were defined as a self-reported history of coronary heart diseases, heart attacks, angina pectoris, and stroke. Restricted cubic spline and logistic regression were employed to examine the association of serum retinol concentration with cardiovascular diseases with adjustments for potential confounders (i.e., demographics, socioeconomic status, body mass index, physical activity, alcohol, smoking, medical history, and use of vitamin A supplements). Results: 6.8% (95% CI, 6.0-7.6) of the participants had cardiovascular diseases. The mean (±standard error) serum retinol concentration was 2.06±0.13 μmol/L. Serum retinol concentration had a J-shaped relationship with cardiovascular diseases, with the lowest risk observed between 0.82 and 1.20 μmol/L. Stratified by gender, the serum retinol concentration with the lowest odds ratio was 0.99 μmol/L in men and 1.07 μmol/L in women. The lower and upper tail of serum retinol concentrations (&lt; 0.82μmol/L or &gt;1.20μmol/L) were associated with cardiovascular diseases [OR = 1.70, 95%CI (1.23-1.85), P&lt;0.01] after adjusting for covariates. Conclusions: Serum retinol concentration has a J-shaped association with cardiovascular diseases. While serum retinol may be an independent predictor of cardiovascular diseases, further studies are needed to determine if this is a causal relationship.

INFLAMMATION MARKERS AS POTENTIAL MEDIATORS FOR THE ASSOCIATION BETWEEN ARTERIAL STIFFNESS AND OBESITY

Objective: Arterial stiffness is a strong independent predictor of cardiovascular diseases. Obesity was closely associated with arterial stiffness. This study hypothesised that inflammatory markers mediated the association between obesity and arterial stiffness. Design and method: We performed a cross-sectional study in 965 Flemish individuals (mean age 49.4 ± 15.6 years, 51 % female). Carotid-femoral pulse wave velocity (PWV) was measured as indicator of arterial stiffness via application tonometry. Obesity was defined as BMI &gt; = 30 kg/m2. Fourteen plasma inflammatory cytokines were determined, using an ELISA-based assay and composite inflammation scores were calculated using Crohnbach's alpha as an indicator of internal consistency reliability for measurement of inflammatory burden. Insulin resistance (IR) was calculated via the homeostasis model assessment (HOMA), and resistance was defined as HOMA &gt; = 1.9. Results: An increased PWV was found in individuals with obesity, compared to those without obesity (8.1 vs. 7.4 m/s, p &lt; 0.001). After adjusting for sex and age, the association between, PWV and obesity remained (0.35, 95% CI: 0.08 – 0.63, p = 0.011). Obesity was positively associated (p &lt; 0.001) with CRP (0.059, 95% CI: 0.037 – 0.081), IL-6 (0.046, 95% CI: 0.023 – 0.068), leptin (0.147, 95% CI: 0.122 – 0.172) and PAI-1 (0.036, 95% CI: 0.015 – 0.058). Mediation analysis showed that the association between PWV and obesity was partially mediated by inflammatory burden scores (18.70 %, p &lt; 0.05) and was borderline mediated by leptin (28.70 %, p = 0.060) and insulin resistance (15.44 %, p = 0.054). Conclusions: Our findings confirm the role of inflammation as major mediator in obesity associated arterial stiffness. Leptin and insulin resistance might also involve in arterial stiffness in obesity, which may provide potential treatment targets.

Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning.

Left ventricular hypertrophy (LVH) is an established, independent predictor of cardiovascular disease. Indices derived from the electrocardiogram (ECG) have been used to infer the presence of LVH with limited sensitivity. This study aimed to classify LVH defined by cardiovascular magnetic resonance (CMR) imaging using the 12-lead ECG for cost-effective patient stratification. We extracted ECG biomarkers with a known physiological association with LVH from the 12-lead ECG of 37 534 participants in the UK Biobank imaging study. Classification models integrating ECG biomarkers and clinical variables were built using logistic regression, support vector machine (SVM) and random forest (RF). The dataset was split into 80% training and 20% test sets for performance evaluation. Ten-fold cross validation was applied with further validation testing performed by separating data based on UK Biobank imaging centres. QRS amplitude and blood pressure (P < 0.001) were the features most strongly associated with LVH. Classification with logistic regression had an accuracy of 81% [sensitivity 70%, specificity 81%, Area under the receiver operator curve (AUC) 0.86], SVM 81% accuracy (sensitivity 72%, specificity 81%, AUC 0.85) and RF 72% accuracy (sensitivity 74%, specificity 72%, AUC 0.83). ECG biomarkers enhanced model performance of all classifiers, compared to using clinical variables alone. Validation testing by UK Biobank imaging centres demonstrated robustness of our models. A combination of ECG biomarkers and clinical variables were able to predict LVH defined by CMR. Our findings provide support for the ECG as an inexpensive screening tool to risk stratify patients with LVH as a prelude to advanced imaging.

Metabolic Syndrome and C-reactive Protein are Associated With a Reduced Myocardial Mechano-energetic Efficiency.

Metabolic syndrome and elevated high-sensitivity C-reactive protein (hsCRP) levels are associated with risk of cardiovascular diseases. A reduced myocardial mechano-energetic efficiency (MEE) has been found to be an independent predictor of cardiovascular disease. To evaluate the association between metabolic syndrome and hsCRP levels with impaired MEE. Myocardial MEE was assessed by a validated echocardiography-derived measure in 1975 nondiabetic and prediabetic individuals subdivided into 2 groups according to the presence of metabolic syndrome. Individuals with metabolic syndrome exhibited increased stroke work and myocardial oxygen consumption estimated by rate pressure product, and a reduced MEE per gram of left ventricular mass (MEEi) compared with subjects without metabolic syndrome, after adjusting for age and sex. Myocardial MEEi progressively decreased in parallel with the increase in the number of metabolic syndrome components. In a multivariable regression analysis, both metabolic syndrome and hsCRP contributed to reduced myocardial MEEi independently of sex, total cholesterol, high-density lipoprotein, triglycerides, fasting, and 2-hour postload glucose levels. When the study population was divided into 4 groups by the presence or absence of metabolic syndrome and by hsCRP levels above and below 3 mg/L, hsCRP levels ≥3 mg/L were associated with reduced myocardial MEEi both in subjects with metabolic syndrome and in those without the syndrome. Nondiabetic and prediabetic individuals with metabolic syndrome exhibit increased stroke work and myocardial oxygen consumption, and an impaired MEEi, an established predictor of adverse cardiovascular events, and elevated hsCRP levels in combination with metabolic syndrome aggravate the myocardial MEEi impairment.