The Effect of Blood Pressure Variability on Coronary Atherosclerosis Plaques

Carotid intima-media thickness and incident hypertension: the Brazilian Longitudinal Study of Adult Health

BACKGROUND

High blood pressure (BP) increases carotid intima-media thickness (CIMT). On the other hand, it is not clear whether the vascular abnormalities reflected in high CIMT may predict incident hypertension. The present study aims to investigate the association between CIMT and incident hypertension after 4 years of follow-up in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a multiethnic sample of middle-aged adults from six Brazilian cities.

METHODS

We analyzed data from 6682 ELSA-Brasil participants (aged 35-74) without hypertension and with complete CIMT data at baseline. After 4 years of follow-up, we describe hypertension incidence, stratifying the sample according to age, sex, and race-specific CIMT quartiles. We also built crude and adjusted Poisson regression models to analyze the association between mean and maximal CIMT values and incident hypertension.

RESULTS

We found incident hypertension in 987 (14.8%) participants. According to mean CIMT quartile groups, hypertension incidence varied from 10.2% (first quartile group) to 22.4% (fourth quartile group; P for trend <0.001). In fully adjusted models, 0.1 mm increments in mean CIMT values were associated with a 16% [relative risk (RR):1.16; 95% confidence interval (95% CI) 1.10-1.21; P  < 0.001] higher risk of incident hypertension, respectively. Results were similar when maximal CIMT values were considered instead of mean CIMT values.

CONCLUSION

CIMT values at baseline strongly predicted incident hypertension after 4 years of follow-up in this large multiethnic cohort. This highlights the relationship between CIMT and BP and may provide important insights into the significance of this ultrasound measurement.

Visit-to-visit variability of metabolic parameters and progression of atherosclerosis in computed tomography: follow up of an asymptomatic cohort

Background

We aimed to examine whether intra-individual variability in traditional risk factors affects the progression of atherosclerosis on subsequent coronary computed tomography angiography (CCTA).

Methods

We conducted a retrospective cohort study using asymptomatic health examination cohort data from Haeundae Paik Hospital in Korea collected between 2010-2020. A total of 387 adults met the inclusion criteria of having at least two CCTAs without specific symptoms with an interval of more than one year and having completed three or more health examinations. Visit-to-visit variability was evaluated using the average real variability (ARV) of body mass index, waist circumference, systolic and diastolic blood pressure, and plasma glucose, total cholesterol, triglyceride, high-density lipoprotein (HDL)-cholesterol, and low-density lipoprotein (LDL)-cholesterol. Progression of coronary artery atherosclerosis was defined as worsening of coronary artery stenosis from baseline to final CCTA. ARV values for various metabolic parameters were stratified into quartiles, and hazard ratios (HRs) and 95% confidence intervals (CIs) for coronary atherosclerosis progression were analyzed using multiple Cox proportional hazards models.

Results

There were 126 cases of coronary artery stenosis progression (32.56%) assessed using the Coronary Artery Disease Reporting and Data System during a mean follow up of 3.91 (range, 1-9) years. In the multivariate analysis comparing ARV quartiles for LDL-cholesterol after adjusting for covariates, individuals with higher variability showed an increased risk of stenosis progression: HR 2.23 (95% CI: 1.33-3.73) for the third quartile, HR 1.56 (95% CI: 0.91-2.66) for the fourth quartile (P for trend =0.005). Triglycerides also showed a significant linear trend (P for trend =0.04), and Q4 had a greater risk of stenosis progression (HR, 2.09; 95% CI: 1.24-3.52). Meanwhile, the risk of stenosis progression was significantly reduced as the ARV of HDL-cholesterol increased: HR 0.56 (95% CI: 0.35-0.89) for the third quartile, HR 0.47 (95% CI: 0.27-0.81) for the fourth quartile (P for trend =0.01).

Conclusions

High variability in LDL-cholesterol and triglyceride was an independent predictor of coronary artery stenosis progression on subsequent CCTA in our cohort. This finding highlights the importance of maintaining stable state to effectively prevent the progression of coronary artery stenosis in clinical settings.

The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from "Nice to Have" to Mandatory Systems

The success of artificial intelligence depends on whether it can penetrate the boundaries of evidence-based medicine, the lack of policies, and the resistance of medical professionals to its use. The failure of digital health to meet expectations requires rethinking some of the challenges faced. We discuss some of the most significant challenges faced by patients, physicians, payers, pharmaceutical companies, and health systems in the digital world. The goal of healthcare systems is to improve outcomes. Assisting in diagnosing, collecting data, and simplifying processes is a "nice to have" tool, but it is not essential. Many of these systems have yet to be shown to improve outcomes. Current outcome-based expectations and economic constraints make "nice to have," "assists," and "ease processes" insufficient. Complex biological systems are defined by their inherent disorder, bounded by dynamic boundaries, as described by the constrained disorder principle (CDP). It provides a platform for correcting systems' malfunctions by regulating their degree of variability. A CDP-based second-generation artificial intelligence system provides solutions to some challenges digital health faces. Therapeutic interventions are held to improve outcomes with these systems. In addition to improving clinically meaningful endpoints, CDP-based second-generation algorithms ensure patient and physician engagement and reduce the health system's costs.

Association of gamma-glutamyl transferase variability with risk of venous thrombosis

Gamma-glutamyl transferase (GGT) is a biomarker of inflammation, and is known to be associated with stroke and atrial fibrillation. Venous thromboembolism (VT), a not uncommon thrombotic disorder, shares similar mechanisms with other thrombotic disorders including these stroke and atrial fibrillation. Given these associations, we intended to investigate the potential association between variability in GGT and VT. The study included data from the National Health Insurance Service-Health Screening Cohort, comprising 1,085,105 participants with health examinations 3 or more times from 2003 to 2008. Variability indexes were the coefficient of variation, standard deviation, and variability independent of the mean. The occurrence of venous thromboembolism (VT) was defined with more than one claim of the following ICD-10 codes: deep VT (I80.2-80.3), pulmonary thromboembolism (I26), intraabdominal venous thrombosis (I81, I82.2, I82.3), or other VT (I82.8, I82.9). To determine the relationship of quartiles of GGT with incident VT risk, Kaplan-Meier survival curve and logrank test were used. Cox's proportional hazard regression was used to investigate the risk of VT occurrence by GGT quartile (Q1-Q4). A total of 1,085,105 subjects were incorporated in the analysis, and the average follow-up was 12.4 years (interquartile range 12.2-12.6). VT occurred in 11,769 (1.08%) patients. The GGT level was measured 5,707,768 times in this stud. Multivariable analysis showed that GGT variability were positively associated with the occurrence of VT. Compared to the Q1, the Q4 showed an adjusted HR of 1.15 (95% CI 1.09-1.21, p < 0.001) when using coefficient of variation, 1.24 (95% CI 1.17-1.31, p < 0.001) when using standard deviation, and 1.10 (95% CI 1.05-1.16, p < 0.001) when using variability independent of the mean. Increased variability of GGT may be related to an increased risk of VT. Maintaining a stable GGT level would be beneficial in reducing the risk of VT.

Blood Pressure Variability in Clinical Practice: Past, Present and the Future

Recent advances in wearable technology through convenient and cuffless systems will enable continuous, noninvasive monitoring of blood pressure (BP), heart rate, and heart rhythm on both longitudinal 24-hour measurement scales and high-frequency beat-to-beat BP variability and synchronous heart rate variability and changes in underlying heart rhythm. Clinically, BP variability is classified into 4 main types on the basis of the duration of monitoring time: very-short-term (beat to beat), short-term (within 24 hours), medium-term (within days), and long-term (over months and years). BP variability is a strong risk factor for cardiovascular diseases, chronic kidney disease, cognitive decline, and mental illness. The diagnostic and therapeutic value of measuring and controlling BP variability may offer critical targets in addition to lowering mean BP in hypertensive populations.

The Influence of Ambient Temperature on Adipose Tissue Homeostasis, Metabolic Diseases and Cancers

Adipose tissue is a recognized energy storage organ during excessive energy intake and an endocrine and thermoregulator, which interacts with other tissues to regulate systemic metabolism. Adipose tissue dysfunction is observed in most obese mouse models and humans. However, most studies using mouse models were conducted at room temperature (RT), where mice were chronically exposed to mild cold. In this condition, energy use is prioritized for thermogenesis to maintain body temperature in mice. It also leads to the activation of the sympathetic nervous system, followed by the activation of β-adrenergic signaling. As humans live primarily in their thermoneutral (TN) zone, RT housing for mice limits the interpretation of disease studies from mouse models to humans. Therefore, housing mice in their TN zone (~28–30 °C) can be considered to mimic humans physiologically. However, factors such as temperature ranges and TN pre-acclimatization periods should be examined to obtain reliable results. In this review, we discuss how adipose tissue responds to housing temperature and the outcomes of the TN zone in metabolic disease studies. This review highlights the critical role of TN housing in mouse models for studying adipose tissue function and human metabolic diseases.

Understanding Atherosclerosis Pathophysiology: Can Additive Manufacturing Be Helpful?

Atherosclerosis is one of the leading causes of death worldwide. Although this subject arouses much interest, there are limitations associated with the biomechanical investigation done in atherosclerotic tissues, namely the unstandardized tests for the mechanical characterization of these tissues and the inherent non-consensual results obtained. The variability of tests and typologies of samples hampers direct comparisons between results and hinders the complete understanding of the pathologic process involved in atherosclerosis development and progression. Therefore, a consensual and definitive evaluation of the mechanical properties of healthy and atherosclerotic blood vessels would allow the production of physical biomodels that could be used for surgeons' training and personalized surgical planning. Additive manufacturing (AM), commonly known as 3D printing, has attracted significant attention due to the potential to fabricate biomodels rapidly. However, the existing literature regarding 3D-printed atherosclerotic vascular models is still very limited. Consequently, this review intends to present the atherosclerosis disease and the consequences of this pathology, discuss the mechanical characterization of atherosclerotic vessels/plaques, and introduce AM as a potential strategy to increase the understanding of atherosclerosis treatment and pathophysiology.

Therapeutic target and clinical impact of day-to-day blood pressure variability in hypertensive patients with covid-19

Blood pressure variability (BPV) is essential in hypertensive patients and is frequently associated with organ damage. As of today, hypertension is still the most common comorbidity in COVID-19, but the impact of BPV and the therapeutic target of BPV on outcomes in COVID-19 patients with hypertension remain unclear. Therefore, this study investigated the relationship between BPV and severity of COVID-19, in-hospital mortality, hypertensive status, and efficacy of antihypertensives in suppressing hypertensive covid-19 patient BPV. This cohort retrospective study enrolled 351 patients hospitalized with COVID-19. Subjects were classified according to the severity of COVID-19, the presence of hypertension, and their BPV status. During hospitalization, mean arterial pressure (MAP) was measured at 6 a.m. and 6 p.m., and BPV was calculated as the coefficient of variation of MAP (MAPCV). MAPCV values above the median were defined as high BPV. In addition, we compared the hypertensive status, COVID-19 severity, in-hospital mortality, and antihypertensive agents between the BPV groups. The mean age was 53.85 ± 18.84 years old. Hypertension was significantly associated with high BPV with prevalence ratio (PR) = 1.38 (95% CI = 1.13-1.70; p = 0.003) or severe COVID-19 (PR = 1.39; 95% CI = 1.09-1.76; p = 0.005). In laboratory findings, high BPV group had lower Albumin, higher WBC, serum Cr, CRP, and creatinine to albumin ratio. High BPV status also significantly increased risk of mortality (HR = 2.30; 95% CI = 1.73-3.86; p < 0.001). Patients with a combination of severe COVID-19 status, hypertension, and high BPV status had the highest risk of in-hospital mortality (HR = 3.51; 95% CI = 2.32-4.97; p < 0.001) compared to other combination status groups. In COVID-19 patients with hypertension, combination therapy with calcium channel blockers (CCB) as well as CCB monotherapy significantly develop low BPV (PR = 2.002; 95 CI% = 1.33-3.07; p = 0.004) and low mortality (HR = 0.17; 95% CI = 0.05-0.56; p = 0.004). Hypertensive status and severe COVID-19 were significantly associated with high BPV, and these factors increased in-hospital mortality. CCBs might be antihypertensive agents that potentially effectively suppressing BPV and mortality in COVID-19 patients.

Chinese Herbal Medicine Reduces the Risk of Heart Failure in Hypertensive Patients: A Nationwide, Retrospective, Cohort Study

Background

Hypertension (HTN) is the leading preventable risk factor for cardiovascular disease worldwide. Patients with HTN are at higher risk for heart failure (HF). The currently available therapeutic approaches for HTN do not always optimally control blood pressure or are not suitable for hypertensive patients who have a higher number of comorbidities. This study aimed to determine whether Chinese herbal medicine (CMH)-based interventions could reduce the risk of HF in hypertensive patients.

Methods

This retrospective study randomly selected 2 million enrollees from the National Health Insurance Research Database and identified 507,608 patients who were newly diagnosed with HTN in 2000–2017. After 1:1 frequency-matching by age, sex, index year, income, urbanization, duration of HTN, comorbidities and antihypertensive medications, we selected 8,912 eligible patients in each group. During 16 years of follow-up, 380 CHM users and 426 CHM non-users developed HF, representing incidence rates of 6.29 and 7.43 per 1,000 person-years, respectively.

Results

CHM users had significantly lower HF risk compared with CHM non-users (adjusted HR = 0.85, 95% CI 0.74–0.98). The markedly predominant effect was observed in those receiving CHM products for more than 180 days (adjusted HR = 0.65). The frequently prescribed formula, Jia-Wei-Xiao-Yao-San, and the single herbs Ge Gen, Huang Qi, Du Zhong, Huang Qin, and Chuan Xiong were significantly associated with lower risk of HF.

Conclusions

This population-based study revealed decreased HF risk in hypertensive patients with CHM use. These findings may provide a reference for HF prevention strategies and support the integration of CHM into clinical intervention programs that provide a favorable prognosis for hypertensive patients.

5,2′-Dibromo-2,4′,5′-trihydroxydiphenylmethanone Inhibits LPS-Induced Vascular Inflammation by Targeting the Cav1 Protein

Vascular inflammation is directly responsible for atherosclerosis. 5,2′-Dibromo-2,4′,5′-trihydroxydiphenylmethanone (TDD), a synthetic bromophenol derivative, exhibits anti-atherosclerosis and anti-inflammatory effects. However, the underlying pathways are not yet clear. In this study, we first examined the effects of TDD on toll-like receptor-4 (TLR4) activity, the signaling receptor for lipopolysaccharide (LPS), and found that TDD does not inhibit LPS-induced TLR4 expression in EA.hy926 cells and the vascular wall in vivo. Next, we investigated the global protein alterations and the mechanisms underlying the action of TDD in LPS-treated EA.hy926 cells using an isobaric tag for the relative and absolute quantification technique. Western blot analysis revealed that TDD inhibited NF-κB activation by regulating the phosphorylation and subsequent degradation IκBα. Among the differentially expressed proteins, TDD concentration-dependently inhibited Caveolin 1(Cav1) expression. The interaction between Cav1 and TDD was determined by using biolayer interference assay, UV-vis absorption spectra, fluorescence spectrum, and molecular docking. We found that TDD can directly bind to Cav1 through hydrogen bonds and van der Waals forces. In conclusion, our results showed that TDD inhibited LPS-induced vascular inflammation and the NF-κB signaling pathway by specifically targeting the Cav1 protein. TDD may be a novel anti-inflammatory compound, especially for the treatment of atherosclerosis.