Cardiovascular Disease In Patients Research Articles

SRF SUMOylation modulates smooth muscle phenotypic switch and vascular remodeling

Serum response factor (SRF) controls gene transcription in vascular smooth muscle cells (VSMCs) and regulates VSMC phenotypic switch from a contractile to a synthetic state, which plays a key role in the pathogenesis of cardiovascular diseases (CVD). It is not known how post-translational SUMOylation regulates the SRF activity in CVD. Here we show that Senp1 deficiency in VSMCs increased SUMOylated SRF and the SRF-ELK complex, leading to augmented vascular remodeling and neointimal formation in mice. Mechanistically, SENP1 deficiency in VSMCs increases SRF SUMOylation at lysine 143, reducing SRF lysosomal localization concomitant with increased nuclear accumulation and switching a contractile phenotype-responsive SRF-myocardin complex to a synthetic phenotype-responsive SRF-ELK1 complex. SUMOylated SRF and phospho-ELK1 are increased in VSMCs from coronary arteries of CVD patients. Importantly, ELK inhibitor AZD6244 prevents the shift from SRF-myocardin to SRF-ELK complex, attenuating VSMC synthetic phenotypes and neointimal formation in Senp1-deficient mice. Therefore, targeting the SRF complex may have a therapeutic potential for the treatment of CVD.

Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study

BackgroundCardiac autonomic neuropathy (CAN) in diabetes mellitus (DM) is independently associated with cardiovascular (CV) events and CV death. Diagnosis of this complication of DM is time-consuming and not routinely performed in the clinical practice, in contrast to fundus retinal imaging which is accessible and routinely performed. Whether artificial intelligence (AI) utilizing retinal images collected through diabetic eye screening can provide an efficient diagnostic method for CAN is unknown.MethodsThis was a single center, observational study in a cohort of patients with DM as a part of the Cardiovascular Disease in Patients with Diabetes: The Silesia Diabetes-Heart Project (NCT05626413). To diagnose CAN, we used standard CV autonomic reflex tests. In this analysis we implemented AI-based deep learning techniques with non-mydriatic 5-field color fundus imaging to identify patients with CAN. Two experiments have been developed utilizing Multiple Instance Learning and primarily ResNet 18 as the backbone network. Models underwent training and validation prior to testing on an unseen image set.ResultsIn an analysis of 2275 retinal images from 229 patients, the ResNet 18 backbone model demonstrated robust diagnostic capabilities in the binary classification of CAN, correctly identifying 93% of CAN cases and 89% of non-CAN cases within the test set. The model achieved an area under the receiver operating characteristic curve (AUCROC) of 0.87 (95% CI 0.74–0.97). For distinguishing between definite or severe stages of CAN (dsCAN), the ResNet 18 model accurately classified 78% of dsCAN cases and 93% of cases without dsCAN, with an AUCROC of 0.94 (95% CI 0.86–1.00). An alternate backbone model, ResWide 50, showed enhanced sensitivity at 89% for dsCAN, but with a marginally lower AUCROC of 0.91 (95% CI 0.73–1.00).ConclusionsAI-based algorithms utilising retinal images can differentiate with high accuracy patients with CAN. AI analysis of fundus images to detect CAN may be implemented in routine clinical practice to identify patients at the highest CV risk.Trial registrationThis is a part of the Silesia Diabetes-Heart Project (Clinical-Trials.gov Identifier: NCT05626413).Graphical

Association of life’s essential 8 with mortality among the individuals with cardiovascular disease

This study explores the association between LE8 scores and mortality risks among individuals diagnosed with cardiovascular disease (CVD). Utilizing data from the NHANES conducted between 2005 and 2018, survey-weighted multivariable Cox proportional hazards regression models were utilized. Life’s Essential 8 (LE8) scores dose–response associations were assessed using restricted cubic spline regression. Sub-analyses were performed for different categories of CVD. The study consisted of 2164 participants diagnosed with CVD, ranging in age from 20 to 80 years (weighted mean [SE] age, 61.47 [0.34] years; The average total LE8 was 64.97 [0.54]. 499 participants experienced mortality, with 350 deaths attributed to CVD. After accounting for potential covariates, LE8 score was found to be associated with a decreased both all-cause mortality (OR 0.34, CI 0.22–0.51) and CVD mortality (OR 0.40, CI 0.23–0.68). A survey-weighted multivariable Cox model with restricted cubic splines identified the lowest all-cause mortality (P < 0.001) and CVD mortality (P < 0.001) risk when LE8 reach at 63.75 (P < 0.001). The results highlight the association between LE8 scores and reduced mortality in CVD patient population. The implementation of comprehensive initiatives that prioritize healthy dietary patterns, will play a crucial role in alleviating the impact of cardiovascular disease and improving cardiovascular health outcomes.

Major Adverse Cardiovascular Events: The Importance of Serum Levels and Haplotypes of the Anti-Inflammatory Cytokine Interleukin 10.

Cardiovascular diseases (CVDs) represent major medical and socio-economic challenges worldwide. There is substantial evidence that CVD is closely linked to inflammatory changes triggered by a complex cytokine network. In this context, interleukin 10 (IL-10) plays an important role as a pleiotropic cytokine with an anti-inflammatory capacity. In this study (a substudy of ClinTrials.gov, identifier: NCT01045070), the prognostic relevance of IL-10 levels and IL-10 haplotypes (rs1800896/rs1800871/rs1800872) was assessed regarding adverse cardiovascular outcomes (combined endpoint: myocardial infarction, stroke/transient ischemic attack, cardiac death and death according to stroke) within a 10-year follow-up. At baseline, 1002 in-patients with CVD were enrolled. Serum levels of IL-10 were evaluated utilizing flow cytometry (BD™ Cytometric Bead Array). Haplotype analyses were carried out by polymerase chain reactions with sequence-specific primers (PCR-SSP). In a survival analysis, IL-10 haplotypes were not proven to be cardiovascular prognostic factors in a 10-year follow-up (Breslow test: p = 0.423). However, a higher IL-10 level was associated with adverse cardiovascular outcomes (Breslow test: p = 0.047). A survival analysis considering adjusted hazard ratios (HRs) could not confirm this correlation (Cox regression: adjusted HR = 1.26, p = 0.168). In the present study, an elevated IL-10 level but not IL-10 haplotypes was linked to adverse cardiovascular outcomes (10-year follow-up) in a cohort of CVD patients.

Dietary inflammation influences the prevalence of cardiovascular diseases in prediabetes and diabetes patients: findings from the National Health and Nutrition Examination Survey (NHANES 2001–2018)

Prediabetes is an early phase before diabetes. Diabetes and dietary inflammation are two crucial factors that are strongly associated with cardiovascular diseases (CVDs). Dietary interventions slowed the progression of diabetes and CVD. However, the associations between CVDs and dietary inflammation in different stages of pathoglycaemia have not been investigated. To explore the effect of a proinflammatory diet on CVD incidence at different stages of diabetes, NHANES (2001–2018) data were collected and analysed. A total of 3137 CVD patients with a comparable non-CVD group (n = 3137) were enrolled after propensity score matching (PSM) analysis. These patients were subsequently categorized into three subgroups: those with diabetes (n = 3043), those with prediabetes (n = 1099) and those with normoglycemia (n = 2132). The DII (Dietary inflammatory index) is a risk factor for CVD, both in overall individuals and in each subgroup of population-based information. In diabetic individuals, the odds ratios (ORs) (95% CIs) of CVD incidence for the DII were 1.10 (1.05, 1.15) and 1.08 (1.03, 1.13) according to the crude and adjusted models, respectively. For individuals with prediabetes, the ORs (95% CIs) of CVD risk for DII were 1.05 (0.97, 1.14) and 1.11 (1.01, 1.22) according to the crude and adjusted models, respectively. After adjusting for population-based information and hypertension status, the DII appeared to have the highest OR for individuals with prediabetes, and no significant association was found between the DII score and CVD risk in the normoglycemia group. Moreover, the OR of CVD for DII in the uncontrolled diabetes group was 1.06 (0.98, 1.16)*. These results suggest that the DII is more closely associated with the risk of CVDs in prediabetic and diabetic populations, and we should pay more attention to diet control before a person develops diabetes to prevent CVD progression.

Immune signature of patients with cardiovascular disease predicts increased risk for a severe course of COVID-19.

Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection can lead to life-threatening clinical manifestations. Patients with cardiovascular disease (CVD) are at higher risk for severe courses of COVID-19. So far, however, there are hardly any strategies for predicting the course of SARS-CoV-2 infection in CVD patients at hospital admission. Thus, we investigated whether this prediction is achievable by prospectively analysing the blood immunophenotype of 94 nonvaccinated participants, including uninfected and acutely SARS-CoV-2-infected CVD patients and healthy donors, using a 36-colour spectral flow cytometry panel. Unsupervised data analysis revealed little differences between healthy donors and CVD patients, whereas the distribution of the cell populations changed dramatically in SARS-CoV-2-infected CVD patients. The latter had more mature NK cells, activated monocyte subsets, central memory CD4+ T cells, and plasmablasts but fewer dendritic cells, CD16+ monocytes, innate lymphoid cells, and CD8+ T-cell subsets. Moreover, we identified an immune signature characterised by CD161+ T cells, intermediate effector CD8+ T cells, and natural killer T (NKT) cells that is predictive for CVD patients with a severe course of COVID-19. Thus, intensified immunophenotype analyses can help identify patients at risk of severe COVID-19 at hospital admission, improving clinical outcomes through specific treatment.

The indicator of osteogenesis is a potential marker of the risk of cardiovascular diseases in patients with type 2 diabetes mellitus

The indicator of osteogenesis is a potential marker of the risk of cardiovascular diseases in patients with type 2 diabetes mellitus

Incidence of Cancer and Cardiovascular Disease After Bariatric Surgery in Older Patients

Bariatric surgery is associated with decreased risk of obesity-related cancer and cardiovascular disease but is typically reserved for patients younger than 60 years. Whether these associations hold for patients who undergo surgery at older ages is uncertain. To determine whether bariatric surgery is associated with a decreased risk of obesity-related cancer and cardiovascular disease in patients who underwent surgery at age 60 years or older. Population-based cohort study of patients from Denmark, Finland, and Sweden who underwent bariatric surgery at age 60 years or older without previous malignant neoplasm or cardiovascular disease between 1989 and 2019. Each patient who underwent surgery was exactly matched to 5 patients with nonoperative treatment for obesity of the same country, sex, and age at the date of surgery. Data were analyzed in December 2023. Receiving treatment for obesity, including bariatric surgery and nonoperative treatments. The main outcome was obesity-related cancer, defined as a composite outcome of breast, endometrial, esophageal, colorectal, and kidney cancer, identified from the national cancer registries. The secondary outcome was cardiovascular disease, defined as a composite outcome of myocardial infarction, ischemic stroke, and cerebral hemorrhage, identified from the patient registries. Multivariable Cox regression provided hazard ratios (HR) with 95% CIs adjusted for diabetes, hypertension, peripheral vascular disease, chronic obstructive pulmonary disease, kidney disease, and frailty. In total, 15 300 patients (median [IQR] age, 63 [61-65] years; 10 152 female patients [66.4%]) were included, of which 2550 (16.7%) had bariatric surgery at age 60 or older and 12 750 (83.3%) had nonoperative treatment. During a median (IQR) of 5.8 (2.8-8.5) person-years of follow-up, 658 (4.3%) developed obesity-related cancer and 1436 (9.4%) developed cardiovascular disease. The risk of obesity-related cancer (HR, 0.81; 95% CI, 0.64-1.03) and cardiovascular disease (HR, 0.86; 95% CI, 0.74-1.01) were similar among who underwent surgery and those who did not. Gastric bypass (1930 patients) was associated with a decreased risk of obesity-related cancer (71 patients [3.7%]; HR, 0.74; 95% CI, 0.56-0.97) and cardiovascular disease (159 patients [8.2%]; HR, 0.82; 95% CI, 0.69-0.99) compared with matched controls (9650 patients; obesity-related cancer: 442 patients [4.6%]; cardiovascular disease: 859 patients [8.9%]). This cohort study found that bariatric surgery in older patients is not associated with lower rates of obesity-related cancer and cardiovascular events, but there was evidence that gastric bypass may be associated with lower risk of both outcomes.

Coronary Atherosclerotic Plaque Burden Assessment by Computed Tomography and Its Clinical Implications.

Recent studies have demonstrated that coronary plaque burden carries greater prognostic value in predicting adverse atherosclerotic cardiovascular disease outcomes than myocardial ischemia, thereby challenging the existing paradigm. Advances in plaque quantification through both noncontrast and contrast-enhanced computed tomography (CT) methods have led to earlier and more cost-effective detection of coronary disease compared with traditional stress testing. The 2 principal techniques of noninvasive coronary plaque quantification assessment are coronary artery calcium scoring by noncontrast CT and coronary CT angiography, both of which correlate with disease burden on invasive angiography. Plaque quantification from these imaging modalities has shown utility in risk stratification and prognostication of adverse cardiovascular events, leading to increased incorporation into clinical practice guidelines and preventive care pathways. Furthermore, due to their expanding clinical value, emerging technologies such as artificial intelligence are being integrated into plaque quantification platforms, placing more advanced measures of plaque burden at the forefront of coronary plaque evaluation. In this review, we summarize recent clinical data on coronary artery calcium scoring and coronary CT angiography plaque quantification in the evaluation of adverse atherosclerotic cardiovascular disease in patients with and without chest pain, highlight how these methods compare to invasive quantification approaches, and directly compare the performance characteristics of coronary artery calcium scoring and coronary CT angiography.

Association of accelerometer-derived physical activity with all-cause and cause-specific mortality among individuals with cardiovascular diseases: A prospective cohort study.

To investigate the association of accelerometer-measured intensity-specific physical activity (PA) with all-cause and cause-specific mortality among individuals with cardiovascular disease (CVD). In this prospective cohort study, 8,024 individuals with pre-existing CVD (mean age: 66.6 years, female: 34.1%) from the UK Biobank had their PA measured using wrist-worn accelerometers over a 7-day period in 2013-2015. All-cause, cancer, and CVD mortality was ascertained from death registries. Cox regression modelling and restricted cubic splines were used to assess the associations. Population-attributable fractions (PAFs) were used to estimate the proportion of preventable deaths if more PA were undertaken. During an average of 6.8 years of follow-up, 691 deaths (273 from cancer and 219 from CVD) were recorded. An inverse non-linear association was found between PA duration and all-cause mortality risk, irrespective of PA intensity. The hazard ratio (HR) of all-cause mortality plateaued at 1800 minutes/week for light-intensity PA (LPA), 320 minutes/week for moderate-intensity PA (MPA) and 15 minutes/week for vigorous-intensity PA (VPA). The highest quartile of PA associated lower risks for all-cause mortality, with HRs of 0.63 (95% confidence interval [CI]: 0.51-0.79), 0.42 (0.33-0.54) and 0.47 (0.37-0.60) for LPA, MPA, and VPA, respectively. Similar associations were observed for cancer and CVD mortality. Additionally, the highest PAF were noted for VPA, followed by MPA. We found an inverse non-linear association between all intensities of PA (LPA, MPA, VPA, and MVPA) and mortality risk in CVD patients using accelerometer-derived data, but with larger magnitude of the associations than that in previous studies based on self-reported PA.

RUNX1 isoforms regulate RUNX1 and target genes differentially in platelets-megakaryocytes: association with clinical cardiovascular events

BackgroundHematopoietic transcription factor RUNX1 is expressed from proximal P2 and distal P1 promoters to yield isoforms RUNX1 B and C, respectively. The roles of these isoforms in RUNX1 autoregulation and downstream gene regulation in megakaryocytes and platelets are unknown. ObjectivesTo understand the regulation of RUNX1 and its target genes by RUNX1 isoforms. MethodsWe performed studies on RUNX1 isoforms in megakaryocytic human erythroleukemia (HEL) cells and HeLa cells (lack endogenous RUNX1), in platelets from 85 healthy volunteers administered aspirin or ticagrelor, and on the association of RUNX1 target genes with acute events in 587 patients with cardiovascular disease (CVD). ResultsIn chromatin immunoprecipitation and luciferase promoter assays, RUNX1 isoforms B and C bound and regulated P1 and P2 promoters. In HeLa cells, RUNX1B decreased and RUNX1C increased P1 and P2 activities, respectively. In HEL cells, RUNX1B overexpression decreased RUNX1C and RUNX1A expression; RUNX1C increased RUNX1B and RUNX1A. RUNX1B and RUNX1C regulated target genes (MYL9, F13A1, PCTP, PDE5A, and others) differentially in HEL cells. In platelets, RUNX1B transcripts (by RNA sequencing) correlated negatively with RUNX1C and RUNX1A; RUNX1C correlated positively with RUNX1A. RUNX1B correlated positively with F13A1, PCTP, PDE5A, RAB1B, and others, and negatively with MYL9. In our previous studies, RUNX1C transcripts in whole blood were protective against acute events in CVD patients. We found that higher expression of RUNX1 targets F13A1 and RAB31 associated with acute events. ConclusionRUNX1 isoforms B and C autoregulate RUNX1 and regulate downstream genes in a differential manner, and this is associated with acute events in CVD.

Determination of the effectiveness of the three-minute nutrition screening (3-MinNS) tool in adult patients hospitalized in a cardiology clinic.

To determine the efficacy of the 3-Minute Nutrition Screening (3-MinNS) tool in adults hospitalized for cardiovascular diseases. In this descriptive cross-sectional study of 759 cardiovascular disease patients in Erciyes University Cardiology Clinic, anthropometric measurements and some routine biochemical parameters were recorded, and nutrition screening tools were used to determine malnutrition status. The power of 3-MinNS to detect malnutrition in cardiovascular diseases patients was calculated. There was a strong positive correlation between 3-MinNS and Nutrition Risk Screening-2002 (NRS-2002) (r=0.719, p<0.001). A moderate agreement was found between 3-MinNS and NRS-2002 (κ=0.496, p<0.001). The sensitivity, specificity, and AUC of 3-MinNS were 79.1%, 75.0%, and 0.851, respectively, and it was determined to be a moderately effective nutrition screening tool that can be used to identify malnutrition in patients with cardiovascular diseases. The 3-MinNS is a moderately effective nutrition screening tool that can be administered within the first 24 hours of hospitalization in patients with cardiovascular diseases.

Multicomponent versus aerobic exercise intervention: Effects on hemodynamic, physical fitness and quality of life in adult and elderly cardiovascular disease patients: A randomized controlled study

ObjectiveCardiovascular diseases (CVDs) remain a leading cause of mortality globally, emphasizing the need for effective preventive measures. This study aimed to investigate the effects of a multicomponent compared to an aerobic training program on the hemodynamic parameters, physical fitness, psychophysical health status and quality of life (QoL) of adults and elderly with stabilized CVDs. MethodsThirty-three subjects (19M and 14F; age 69.5 ± 4.9 years; BMI 27.34 ± 4.95 kg/m2) suffering from CVDs voluntarily participated in this 10-week randomized controlled study and were allocated into three groups: multicomponent training group (MTG; 6M, 6F; cardiorespiratory, resistance, flexibility and breathing exercises; 60′, 2d·wk-1), aerobic training group (ATG; 7M, 5F; aerobic-only training; 60′, 2d·wk-1) or a wait-list control group (CG; 6M, 3F; no PA). Hemodynamic parameters were assessed through resting hearth rate (RHR) and peripheral-systolic and diastolic blood pressure (P-SBP/P-DBP). Physical fitness was assessed via a 30” chair stand test (30CST), timed up and go (TUG) test, handgrip strength (HGS) test, and 2’ step test (TMST). The health status, QoL and enjoyment were evaluated with short form-12 (SF-12), world health organization quality of life-bref (WHOQoL-bref) and physical activity enjoyment scale (PACES), respectively. ResultsAfter the intervention, MTG showed significant improvements in hemodynamic parameters (95 % CI, RHR: 2.76 to 9.07; P-SBP: 3.28 to 13.71; P-DBP: 3.56 to 8.94; p < 0.001), physical fitness (95 % CI, 30CST: 4.42 to −1.90; TUG: 0.56 to 1.58; TMST: 35.24 to −18.58; Dominant HGS: 4.00 to −1.65; Undominant HGS: 2.87 to −0.79, p < 0.001) and enjoyment (PACES: 15.18 to −5.48, p < 0.001) compared to CG; ATG showed significant improvement in hemodynamic parameters (95 % CI, RHR: 1.76 to 8.07; P-SBP: 3.19 to 13.63; P-DBP: 4.47 to 9.85, p < 0.001), physical fitness (95 % CI, 30CST: 2.59 to −0.07; TUG: 0.03 to 1.05; Dominant HGS: 2.42 to −0.07, p < 0.05; TMST: 36.08 to −19.41, p < 0.001) and enjoyment (PACES: 14.68 to −4.98, p < 0.001) compared to CG. No significant changes were observed in QoL and SF-12 (p > 0.05). Significant differences between MTG and ATG were only found in physical fitness variables (95 % CI, 30CST: 3.21 to −0.45, p < 0.01; Dominant HGS: 0.00 to 3.00, p < 0.05). ConclusionsFindings showed significant improvements in hemodynamic parameters and physical fitness suggesting the effectiveness of the multicomponent exercise program, similar to aerobic-only training, and greater efficacy for lower limb strength and dominant hand grip strength in adults and elderly with stabilized CVDs. Both exercise groups showed similar levels of enjoyment.

Cardiovascular Disease, Genetic Susceptibility, and Risk of Psychiatric Disorders and Suicide Attempt: A Community-Based Matched Cohort Study Based on the UK Biobank.

The associations between cardiovascular disease (CVD) and multiple psychiatric disorders and suicide attempt, and whether different genetic susceptibilities affect such links, have not been investigated clearly. Based on the UK Biobank, we conducted a matched cohort study involving 63 923 patients who were first hospitalized with a CVD diagnosis between 1997 and 2020, and their 127 845 matched unexposed individuals. Cox models were used to examine the subsequent risk of psychiatric disorders and suicide attempt (ie, anxiety, depression, stress-related disorder, substance misuse, psychotic disorder, and suicide behaviors) following CVD. We further performed stratified analyses by polygenic risk score for each studied psychiatric condition to detect the possible effects of genetic susceptibility on the observed associations. We found an increased risk of any psychiatric disorders and suicide attempt among CVD patients, compared with matched unexposed individuals, particularly within 1 year following the CVD (fully adjusted hazard ratio [HR] within 1 year, 1.83 [95% CI, 1.58-2.12]; HR after 1 year, 1.24 [95% CI, 1.16-1.32]). By subtype, the risk elevations existed for any psychiatric disorders and suicide attempt following most categories of CVDs. Analyses stratified by polygenic risk score revealed little impact of genetic predisposition to studied psychiatric conditions on these observed links. Patients hospitalized for CVD were at increased subsequent risk of multiple types of psychiatric disorders and suicide attempt, especially in the first year after hospitalization, irrespective of their genetic susceptibilities to studied psychiatric conditions, and these findings underscore the necessity of developing timely psychological interventions for this vulnerable population.

Enhancing miR-19a/b induced cardiomyocyte proliferation in infarcted hearts by alleviating oxidant stress and controlling miR-19 release

Fully restoring the lost population of cardiomyocytes and heart function remains the greatest challenge in cardiac repair post myocardial infarction. In this study, a pioneered highly ROS-eliminating hydrogel was designed to enhance miR-19a/b induced cardiomyocyte proliferation by lowering the oxidative stress and continuously releasing miR-19a/b in infarcted myocardium in situ. In vivo lineage tracing revealed that ∼20.47 % of adult cardiomyocytes at the injected sites underwent cell division in MI mice. In MI pig the infarcted size was significantly reduced from 40 % to 18 %, and thereby marked improvement of cardiac function and increased muscle mass. Most importantly, our treatment solved the challenge of animal death--all the treated pigs managed to live until their hearts were harvested at day 50. Therefore, our strategy provides clinical conversion advantages and safety for healing damaged hearts and restoring heart function post MI, which will be a powerful tool to battle cardiovascular diseases in patients.

Level of medication adherence and its determinants of cardiovascular disease patients attending at specialized teaching hospitals of Amhara regional state, Ethiopia: a multicenter cross-sectional study.

Non-adherence to medication in patients with cardiovascular disease continues to be a main cause of suboptimal management, increased morbidity and mortality, and increased healthcare expenses. The present study assessed the level of medication adherence and its determinants of cardiovascular disease patients. An institutional-based multicenter cross-sectional study was conducted with patients with cardiovascular disease in Northwest Ethiopian teaching hospitals. The level of medication adherence was evaluated using a standardized questionnaire of the Adherence in Chronic Disease Scale (ACDS). To find determinants of the level of medication adherence, an ordinal logistic regression model was employed. Statistics were significant when P ≤ 0.05 at a 95% confidence interval (CI). In the end, 336 participants were included in the research. According to this study, one-third of patients had low medication adherence, half had medium adherence, and one-fifth had high medication adherence. Elderly patients [adjusted odds ratio (AOR) = 2.691; 95% confidence interval (CI), 1.704-4.251; P < 0.000], marital status (AOR = 1.921; 95% CI, 1.214-3.039; P = 0.005), alcoholic patients (AOR = 2.782; 95% CI, 1.745-4.435; P < 0.000), Patients without physical activity (AOR = 1.987; 95% CI 1.251-3.156; P = 0.004), non health insurances (AOR = 1.593; 95% CI 1.003-2.529; P = 0.049), sever Charles comorbidity index (AOR = 2.486; 95% CI 1.103-5.604; P = 0.028), patients with polypharmacy (AOR = 2.998 (1.817-4.947) P < 0.000) and, manypolypharmacy (AOR = 3.031 (1.331-6.898) P = 0.008) were more likely to have low medication adherence. The current study concluded that one-third of study participants had low medication adherence. Older age, marital status, drinker, physical inactivity, drug source, comorbidity, and polypharmacy all contributed to the low level of medication adherence. To improve patients with cardiovascular disease's adherence to their medications, intervention is necessary.

Cardiovascular Care and Research in the Asia-Pacific Region during the COVID-19 Pandemic: Insights from Early and Mid-career Physicians

Background: The COVID-19 pandemic imposed a significant burden on healthcare systems in the Asia-Pacific region and has had a varying impact on physicians at different stages of their career. This study sought to evaluate the personal perspectives and the experiences of early and mid-career cardiologists and cardiothoracic surgeons with regard to the impact of the pandemic in the region. Methods: A cross-sectional web-based survey was conducted from June to July 2023 among members of the Asian Pacific Society of Cardiology (APSC) young community. The survey aimed to assess the impact of COVID-19 on cardiovascular clinical care and research activities that contained sections on demographic information, pandemic-related clinical and research experiences, personal stories, and interest in long-COVID research. Results: Overall, 60 physicians (44%) in the APSC young community responded to the survey. Cardiovascular disease patient numbers initially dropped in 2020 during the pandemic’s early stages but gradually increased in the following 3 years. Non-cardiovascular patient care workloads also rose during the first 2 years of the pandemic. Respondents observed notable changes in clinical care, research and personal life. Positive aspects included increased adaptability and telemedicine adoption, while challenges involved higher workloads and stress. More than 70% expressed interest in understanding the impact of long COVID, with Southeast Asian members showing the highest levels of interest. Conclusion: This survey conducted in the aftermath of the pandemic shed light on the challenges experienced by early to mid-career Asia-Pacific cardiovascular physicians. Physicians at this career stage encounter distinctive hurdles that require thoughtful consideration and effective solutions.

Bereaved family members’ perspectives on quality of death in deceased acute cardiovascular disease patients compared with cancer patients – a comparison of the J-HOPE3 study and the quality of palliative care in heart disease (Q-PACH) study

BackgroundOutcome measures during acute cardiovascular disease (CVD) phases, such as quality of death, have not been thoroughly evaluated. This is the first study that compared the family members’ perceptions of quality of death in deceased CVD patients and in deceased cancer patients using a bereaved family survey.MethodsRetrospectively sent questionnaire to consecutive family members of deceased patients with CVD from ten tertiary hospitals from October 2017 to August 2018. We used the short version of the Good Death Inventory (GDI) and assessed overall care satisfaction. Referencing the GDI, the quality of death was compared between CVD patients admitted to a non-palliative care unit (non-PCU) and cancer patients in palliative care units (PCU) and non-PCUs in the Japan Hospice and Palliative Care Evaluation Study (J-HOPE Study). Additionally, in the adjusted analysis, multivariable linear regression was performed for total GDI score adjusted by the patient and participant characteristics to estimate the difference between CVD and other patients.ResultsOf the 243 bereaved family responses in agreement (response rate: 58.7%) for CVD patients, deceased patients comprised 133 (54.7%) men who were 80.2 ± 12.2 years old on admission. The GDI score among CVD patients (75.0 ± 15.7) was lower (worse) than that of cancer patients in the PCUs (80.2 ± 14.3), but higher than in non-PCUs (74.4 ± 15.2). After adjustment, the total GDI score for CVD patients was 7.10 points lower [95% CI: 5.22–8.97] than for cancer patients in PCUs and showed no significant differences compared with those in non-PCUs (estimates, 1.62; 95% CI [-0.46 to 5.22]).ConclusionsThe quality of death perceived by bereaved family members among deceased acute CVD patients did not differ significantly from that of deceased cancer patients in general wards, however, was significantly lower than that of deceased cancer patients admitted in PCUs.

Bootstrap Method as a Tool for Analyzing Data with Atypical Distributions Deviating from Parametric Assumptions: Critique and Effectiveness Evaluation

In today’s research environment characterized by exponential data growth and increasing complexity, the selection of appropriate statistical tests, tailored to research objectives and data distributions, is paramount for rigorous analysis and accurate interpretation. This article explores the growing prominence of bootstrapping, an advanced statistical technique for multiple comparisons analysis, offering flexibility and customization by estimating sample distributions without assuming population distributions, thus serving as a valuable alternative to traditional methods in various data scenarios. Computer simulations were conducted using data from cardiovascular disease patients. Two approaches, spontaneous partly controlled simulation and fully constrained simulation using self-written R scripts, were utilized to generate datasets with specified distributions and analyze the data using tests for comparing more than two groups. The utilization of the bootstrap method greatly improves statistical analysis, especially in overcoming the constraints of conventional parametric tests. Our research showcased its effectiveness in comparing multiple scenarios, yielding strong findings across diverse distributions, even with minor inflation in p values. Serving as a valuable substitute for parametric approaches, bootstrap promotes careful consideration when rejecting hypotheses, thus fostering a deeper understanding of statistical nuances and bolstering analytical rigor.

A review: Blood pressure monitoring based on PPG and circadian rhythm.

The demand for ambulatory blood pressure monitoring (ABPM) is increasing due to the global rise in cardiovascular disease patients. However, conventional ABPM methods are discontinuous and can disrupt daily activities and sleep patterns. Photoplethysmography (PPG) is gaining attention from researchers due to its simplicity, portability, affordability, and ease of signal acquisition. This paper critically examines the advancements achieved in the technology of PPG-guided noninvasive blood pressure (BP) monitoring and explores future opportunities. We have performed a literature search using the Web of Science and PubMed search engines, from January 2018 to October 2023, for PPG signal quality assessment (SQA), cuffless BP estimation using single PPG, and associations between circadian rhythm and BP. Based on this foundation, we first examine the impact of PPG signal quality on blood pressure estimation results while focusing on methods for assessing PPG signal quality. Subsequently, the methods documented for estimating cuff-free BP from PPG signals are summarized. Furthermore, the study examines how individual differences affect the accuracy of BP estimation, incorporating the factors that influence arterial blood pressure (ABP) and elucidating the impact of circadian rhythm on blood pressure. Finally, there will be a summary of the study's findings and suggestions for future research directions.