Cardiovascular Morbidity in Systemic Lupus Erythematosus: A Single-Center Retrospective Study.

BACKGROUND: Systemic Lupus Erythematosus (SLE) is an autoimmune inflammatory condition affecting multiple systems. Cardiovascular morbidity is a significant concern, with around 25% of SLE patients experiencing cardiac complications. OBJECTIVE: This study aims to determine the prevalence of cardiovascular morbidity in SLE patients in King Fahad Medical City (KFMC) in Riyadh, Saudi Arabia. METHODOLOGY: This retrospective record-based research was conducted at KFMC from January 2015 to October 2023. A review of the medical files of all SLE patients was accomplished. RESULTS: The vast majority of the patients (90.9%) were females. The mean age for the patients was 36.5 years. The most common comorbidities were lupus nephritis (34.6%), hypothyroidism (18.4%), and anti-phospholipid syndrome (9.2%). The most commonly used medications were hydroxychloroquine (81.8%), corticosteroids (prednisolone) (43.0%), and mycophenolate mofetil (27.9%). Around 45.2% (n= 176) of the patients with SLE developed cardiovascular complications. The most commonly reported cardiovascular diseases that developed after diagnosing patients with SLE were hypertension (22.4%), valvular heart diseases (13.2%), and dyslipidemia (9.2%). The study also found that anti-dsDNA antibodies can reduce the likelihood of developing hypertension by 40%. This research contributes to the medical literature on SLE and sets the stage for future research on personalized healthcare strategies for managing SLE and its complications. CONCLUSION: This study highlights that a considerable proportion of SLE patients(~50%) develop cardiovascular complications, with hypertension, valvular heart diseases, and dyslipidemia being the most common. We also discovered that anti-double-stranded deoxyribonucleic acid antibodies (Anti-dsDNA) reduce the likelihood of developing hypertension.

Emerging Trends in Left Ventricular Thrombus: A Comprehensive Review of Non-Ischemic and Ischemic Cardiopathies, Including Eosinophilic Myocarditis, Chagas Cardiomyopathy, Amyloidosis, and Innovative Anticoagulant Approaches.

This comprehensive review explores the intricate aspects of left ventricular thrombus (LVT), a potential complication in both ischemic and non-ischemic cardiomyopathies. It provides a thorough understanding of left ventricular thrombus, revealing its uncommon incidence in the general population (7 cases per 10,000 patients), predominantly linked to ischemic heart diseases (ICMs) at an 80% prevalence rate. Diagnostic tools, notably transthoracic echocardiography (TTE) and cardiac magnetic resonance imaging (CMR), demonstrate varying sensitivity but remain indispensable in specific clinical contexts related to LVT as non-invasive diagnostic modalities. A detailed comparison between ICM patients and those with non-ischemic cardiomyopathy (NICM) who have left ventricular thrombus reveals subtle distinctions with significant clinical implications. This analysis underscores the importance of these imaging techniques in distinguishing between the two conditions. Additionally, we explored the occurrence of LVT in specific non-ischemic cardiomyopathies, including Takotsubo syndrome, hypertrophic cardiomyopathy, eosinophilic myocarditis, Chagas disease, cardiac amyloidosis, and several other conditions. The article further delves into anticoagulation strategies, thoroughly examining their impact on LVT regression and patient outcomes. Pharmacological interventions, with a focus on direct oral anticoagulants, emerge as promising alternatives; however, there is insufficient information on their efficiency and safety, especially in NICM population. In conclusion, this review highlights the complex nature of LVT, incorporating a range of etiopathogenic factors, diagnostic complexities, and evolving therapeutic approaches. It emphasizes the pressing need for ongoing research in this field.

Correlations Between Acute Coronary Syndrome and Novel Inflammatory Markers (Systemic Immune-Inflammation Index, Systemic Inflammation Response Index, and Aggregate Index of Systemic Inflammation) in Patients with and without Diabetes or Prediabetes.

Purpose: Type 2 diabetes mellitus (DM) is a recognized independent risk factor for both chronic coronary syndrome (CCS) and its complication, acute coronary syndrome (ACS). Patients with DM and prediabetes (preDM) face an increased ACS risk. Inflammation plays a significant role in the pathogenesis of both CCS and ACS. This study delves into novel inflammatory markers, such as the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI, also known as SIIRI or PIV), to explore their relationship with ACS and CCS in patients that have been or have not been diagnosed with DM or preDM. Patients and Methods: This study included data of 493 patients with chest pain undergoing coronary angiography. They were categorized into four groups: 1) without DM/preDM and with CCS; 2) with both DM/preDM and CCS; 3) without DM/preDM and with ACS, 4) with both DM/preDM and ACS. Standard methods of statistical analysis were used to reveal possible differences between groups and to find the most influential ACS risk factors in groups with DM/preDM and without DM/preDM. Results: The analysis showed no significant differences in SII, SIRI, or AISI between the respective patient groups. A logistic regression analysis generated a model incorporating SII, high-density lipoprotein, and low-density lipoprotein levels as the influential ACS risk factors for patients with DM/preDM. The model demonstrated 71.0% accuracy, 37.0% sensitivity, and 89.4% specificity. Conclusion: The findings suggest that the aforementioned inflammatory markers may have potential for distinguishing DM/preDM patients at higher risk of ACS at a low financial cost. However, further comprehensive and well-designed research is required to validate their clinical utility.

People with type 2 diabetes (DM) and prediabetes (preDM) have a higher risk of heart problems. These include chronic coronary syndrome (CCS) and acute coronary syndrome (ACS). Inflammation is a key element in these issues. We looked at 493 patients with chest pain. We divided them into groups based on diabetes status (DM/preDM vs no diabetes) and heart conditions (ACS and CCS). We explored new markers related to inflammation. These include the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI) that all can be calculated from simple blood tests. We found no differences in these markers between groups. To understand ACS risk factors better, we used statistical analysis. The model found key factors for patients with DM/preDM: SII, LDL, and low-density lipoprotein levels. It was accurate (71.0%), but sensitivity was 37.0%, and specificity was 89.4%. These markers could be helpful in identifying DM/preDM patients at risk of ACS with low cost tests. We need more research to confirm their use in real-life medical settings.

A Surviving Case of Myocardial Infarction with Ventricular Septal Rupture and Ventricular Aneurysm following Gastrointestinal Bleeding.

A 55-year-old man presented to the emergency department with worsening shortness of breath 1 month after a gastrointestinal bleed. He had congestive heart failure, and an electrocardiogram suggested ischemic heart disease involvement. Echocardiography revealed a ventricular septal defect complicated by a left ventricular aneurysm in the inferior-posterior wall. Conservative treatment was started, but hemodynamic collapse occurred on the third day of admission and coronary angiography revealed a revascularizing lesion in the right fourth posterior descending coronary artery. Subsequently, his hemodynamic status continued to deteriorate, even with an Impella CP® heart pump, so ventricular septal defect patch closure and left ventricular aneurysm suture were performed. His condition improved and he was discharged on day 23 of admission and was not readmitted within 6 months after the procedure. Hemodynamic management of ventricular septal defects requires devices that reduce afterload, and clinicians should be aware of the risk of myocardial infarction after gastrointestinal bleeding.

Temporal trends in the prevalence and death of ischemic heart disease in women of childbearing age from 1990 to 2019: a multilevel analysis based on the Global Burden of Disease Study 2019.

Background: Our objective is to describe the current prevalence and death of ischemic heart disease (IHD) in women of childbearing age (WCBA) at the global, regional, and national levels and to analyze its temporal trends from 1990 to 2019. Methods: WCBA was defined as women aged 15-49 years. Estimates and 95% Uncertainty Intervals (UI) of IHD prevalence and death numbers for seven age groups were extracted from the 2019 Global Burden of Disease Study. The age-standardized prevalence and death rate (ASPR and ASDR) of IHD in WCBA was estimated using the direct age-standardization method. Joinpoint regression analysis was used to calculate average annual percent change (AAPC) to represent the temporal trends from 1990 to 2019. Results: Between 1990 and 2019, the global ASPR of IHD experienced a 3.21% increase, culminating in 367.21 (95% UI, 295.74-430.16) cases per 100,000 individuals. Conversely, the ASDR decreased to 11.11 (95% UI, 10.10-12.30) per 100,000 individuals. In 2019, among the five sociodemographic index (SDI) regions, the highest ASPR was observed in the high-middle SDI region, whereas the highest ASDR was found in the low-middle SDI region. Regionally, the Caribbean reported the highest ASPR (563.11 per 100,000 individuals; 95% UI, 493.13-643.03), and Oceania reported the highest ASDR (20.20 per 100,000 individuals; 95% UI, 13.01-31.03). At the national level, Trinidad and Tobago exhibited the highest ASPR (730.15 per 100,000 individuals; 95% UI, 633.96-840.13), and the Solomon Islands had the highest ASDR (77.77 per 100,000 individuals; 95% UI, 47.80-121.19). Importantly, over the past three decades, the global ASPR has seen a significant increase [AAPC = 0.11%, 95% Confidence Interval (CI): 0.09-0.13; P < 0.001], while the ASDR has demonstrated a significant decreasing trend (AAPC = -0.86%, 95% CI: -1.11 to -0.61; P < 0.001). Air pollution, tobacco use, high systolic blood pressure, elevated body mass index, dietary risks, and high LDL cholesterol have been identified as the leading six risk factors for IHD-related deaths among WCBA in 2019. Conclusions: Despite the significant decline in the global ASDR for IHD among WCBA over the last thirty years, the ASPR continues to escalate. We need to remain vigilant about the increased burden of IHD in WCBA. It calls for aggressive prevention strategies, rigorous control of risk factors, and the enhancement of healthcare coverage to mitigate the disease burden of IHD among WCBA in forthcoming years.

Transcriptomic and spatial dissection of human ex vivo right atrial tissue reveals proinflammatory microvascular changes in ischemic heart disease.

Cardiovascular disease plays a central role in the electrical and structural remodeling of the right atrium, predisposing to arrhythmias, heart failure, and sudden death. Here, we dissect with single-nuclei RNA sequencing (snRNA-seq) and spatial transcriptomics the gene expression changes in the human ex vivo right atrial tissue and pericardial fluid in ischemic heart disease, myocardial infarction, and ischemic and non-ischemic heart failure using asymptomatic patients with valvular disease who undergo preventive surgery as the control group. We reveal substantial differences in disease-associated gene expression in all cell types, collectively suggesting inflammatory microvascular dysfunction and changes in the right atrial tissue composition as the valvular and vascular diseases progress into heart failure. The data collectively suggest that investigation of human cardiovascular disease should expand to all functionally important parts of the heart, which may help us to identify mechanisms promoting more severe types of the disease.

Cost prediction for ischemic heart disease hospitalization: Interpretable feature extraction using network analysis.

OBJECTIVES: Ischemic heart disease (IHD) is a significant contributor to global mortality and disability, imposing a substantial social and economic burden on individuals and healthcare systems. To enhance the efficient allocation of medical resources and ultimately benefit a larger population, accurate prediction of healthcare costs is crucial. METHODS: We developed an interpretable IHD hospitalization cost prediction model that integrates network analysis with machine learning. Specifically, our network-enhanced model extracts explainable features by leveraging a diagnosis-procedure concurrence network and advanced graph kernel techniques, facilitating the capture of intricate relationships between medical codes. RESULTS: The proposed model achieved an R2 of 0.804 ± 0.008 and a root mean square error (RMSE) of 17,076 ± 420 CNY on the temporal validation dataset, demonstrating comparable performance to the model employing less interpretable code embedding features (R2: 0.800 ± 0.008; RMSE: 17,279 ± 437 CNY) and the hybrid graph isomorphism network (R2: 0.802 ± 0.007; RMSE: 17,249 ± 387 CNY). The interpretation of the network-enhanced model assisted in pinpointing specific diagnoses and procedures associated with higher hospitalization costs, including acute kidney injury, permanent atrial fibrillation, intra-aortic balloon bump, and temporary pacemaker placement, among others. CONCLUSION: Our analysis results demonstrate that the proposed model strikes a balance between predictive accuracy and interpretability. It aids in identifying specific diagnoses and procedures associated with higher hospitalization costs, underscoring its potential to support intelligent management of IHD.

Protective Mechanisms of SGLTi in Ischemic Heart Disease.

Ischemic heart disease (IHD) is a common clinical cardiovascular disease with high morbidity and mortality. Sodium glucose cotransporter protein inhibitor (SGLTi) is a novel hypoglycemic drug. To date, both clinical trials and animal experiments have shown that SGLTi play a protective role in IHD, including myocardial infarction (MI) and ischemia/reperfusion (I/R). The protective effects may be involved in mechanisms of energy metabolic conversion, anti-inflammation, anti-fibrosis, ionic homeostasis improvement, immune cell development, angiogenesis and functional regulation, gut microbiota regulation, and epicardial lipids. Thus, this review summarizes the above mechanisms and aims to provide theoretical evidence for therapeutic strategies for IHD.

Hospital admission and mortality rates for ischemic heart disease in Thailand: 2012-2021.

OBJECTIVE: To provide an update on the epidemiology of ischemic heart disease (IHD), including the age-standardized rates of hospital admission and mortality for IHD in Thailand from 2012 to 2021, using the Ministry of Public Health National database. RESULTS: The overall age-standardized hospital admission rate for IHD decreased from 427.5 per 100,000 people in 2012 to 390.5 per 100,000 in 2021. In men, the age-standardized hospital admission rate was 462.7 per 100,000 people in 2012, reaching 485.8 per 100,000 in 2021, p for trend = 0.141. In women, the age-standardization hospital admission rate for IHD dropped by 24.1% over the decade (p for trend = 0.008). The overall age-standardized IHD mortality rate in 2012 was 23.4 per 100,000 people, peaked at 28.6 per 100,000 in 2016, and reached 26.9 per 100,000 in 2021, p for trend = 0.181. In men, the age-standardized IHD mortality rate rose by 26.6% over a decade, p for trend = 0.004. The age-standardized IHD mortality rate among women was consistent from 2012 to 2021, p for trend = 0.130. However, for people aged < 60, rising trends in IHD mortality rates over a decade were observed; it rose by 59.6% in men and 36.1% in women.

A Comprehensive Review on Serum Ferritin as a Prognostic Marker in Intensive Care Units: Insights Into Ischemic Heart Disease.

Serum ferritin has garnered considerable attention as a prognostic marker in intensive care units (ICUs), offering valuable insights into patient outcomes and clinical management strategies. This comprehensive review examines the role of serum ferritin in predicting outcomes among critically ill patients, with a particular focus on its implications for ischemic heart disease (IHD). Elevated serum ferritin levels have consistently been associated with adverse outcomes in ICU settings, including increased mortality, prolonged hospital stays, and higher morbidity rates. Furthermore, the relationship between serum ferritin levels and IHD underscores its potential as a biomarker for cardiovascular risk assessment in critically ill populations. The review synthesizes existing literature to highlight the predictive value of serum ferritin in assessing illness severity and guiding clinical decision-making in the ICUs. It also explores potential mechanisms linking serum ferritin to adverse outcomes and discusses implications for clinical practice. Integrating serum ferritin measurements into routine assessments could enhance prognostication and risk stratification in ICU patients, while further research is needed to elucidate optimal management strategies and therapeutic targets. Collaborative efforts between clinicians and researchers are essential to advance our understanding of serum ferritin's prognostic value in the ICUs and translate this knowledge into improved patient care and outcomes.

Burden of Ischemic Heart Diseases among US States from 1990-2019.

BACKGROUND: Ischemic Heart Disease (IHD) is a leading cause of global mortality, including in the United States. Understanding the burden of IHD in the United States is crucial for informed decision-making and targeted interventions aimed at reducing morbidity and mortality associated with this leading cause of death. This study aimed to understand the burden of IHD, identify gender disparities and risk factors, explore the relationship between socioeconomic growth and IHD, and analyze risk factor distribution across the states of the United States. METHODS: This study utilized data from the Global Burden of Diseases Study 2019, which provided comprehensive information on IHD from 1990 to 2019. Data related to IHD from these years were extracted using a query tool from the Institute for Health Metrics and Evaluation (IHME) website. The study assessed the relationship between IHD and socioeconomic development using the Socio-demographic Index (SDI) and measured the overall impact of IHD using Disability-adjusted Life Years (DALYs), considering premature death and disability. Additionally, the study analyzed the burden of IHD attributed to six main risk factors. Data analysis involved comparing prevalence, mortality, SDI, DALYs, attributable burden, and risk estimation among the states. RESULTS: Between 1990 and 2019, there was an improvement in socioeconomic development in all states. Age-standardized rates of disease burden for IHD decreased by 50% [ASDR 3278.3 to 1629.4 (95% UI: 1539.9-1712.3) per 100,000] with the most significant decline observed in Minnesota. Males had higher burden rates than females in all states, and the southeast region had the highest mortality rates. The prevalence of IHD showed a declining trend, with approximately 8.9 million cases (95% UI: 8.0 million to 9.8 million) in 2019, representing a 37.1% decrease in the Age-standardized Prevalence Rate (ASPR) from 1990. Metabolic risks were the leading contributors to the disease burden, accounting for 50% of cases, with Mississippi having the highest attributable risk. Arkansas had the highest attributable risk for high cholesterol and smoking. Conversely, Minnesota had the lowest burden of IHD among all the states. CONCLUSION: This study highlights variations in the burden of IHD across US states and emphasizes the need for tailored prevention programs to address specific risk factors and gender differences. Understanding the trend in IHD may inform policymakers and healthcare professionals in effectively allocating resources to reduce the burden of IHD and improve national health outcomes.

Self-reported mental and physical health is associated with not returning to work in patients with ischemic heart disease.

BACKGROUND: Ischemic Heart Disease (IHD) can lead to prolonged sick leave and loss of ability to work. This study aimed to describe non-return to work (non-RTW) across three IHD subgroups at 3 and at 12 months post discharge, and explore whether baseline characteristics, and patient-reported mental and physical health were associated with work detachment. METHODS: Data from the national cohort study DenHeart were used, including the patient-reported outcomes (PROs) Short-Form 12, Hospital Anxiety and Depression Scale, Edmonton Symptom Assessment Scale and HeartQoL measured at discharge and register-based follow-up at 3 and at 12 months. A total of 3873 patients with IHD ≤ 63 years old and part of the workforce prior to hospitalisation, were included in the analyses and divided into three groups: chronic IHD/stable angina, non-STEMI (non-ST-Elevation Myocardial Infarction)/unstable angina and STEMI (ST-Elevation Myocardial Infarction). A composite outcome of 'prolonged sick leave' and/or 'left the workforce' was defined as non-return to work (non-RTW). Adjusted logistic regression models were performed. RESULTS: Overall, the frequency of non-RTW was 37.7% and 38.0% at 3 and 12 months, respectively, thus not improving with time. The largest proportion of non-RTW was found in STEMI patients, followed by non-STEMI/unstable angina and IHD/stable angina patients. Several clinical and socio-demographic factors, as well as patient-reported mental and physical health were associated with non-RTW among the subgroups. CONCLUSION: The findings demonstrate a need for identifying IHD patients at risk of non-RTW after discharge based on their mental and physical health and a need for initiatives to minimize unwanted non-RTW.

Integrated metabolomics and network pharmacology study on the mechanism of herbal pair of danggui-kushen for treating ischemia heart disease.

DangGui-KuShen (DK) is a well-known classic traditional Chinese medicine recipe that improves blood circulation, eliminates moisture, and detoxifies, and is frequently used in the treatment of cardiovascular problems. Some protective effects of DK on cardiovascular disease have previously been identified, but its precise mechanism remains unknown. The goal of this study is to combine metabolomics and network pharmacology to investigate DK's protective mechanism in Ischemic Heart Disease(IHD) rat models. A combination of metabolomics and network pharmacology based on UPLC-Q-TOF/MS technology was used in this study to verify the effect of DK on IHD through enzyme-linked immunosorbent assay, HE staining, and electrocardiogram, and it was determined that DK improves the synergistic mechanism of IHD. In total, 22 serum differential metabolites and 26 urine differential metabolites were discovered, with the majority of them involved in phenylalanine, tyrosine, and tryptophan biosynthesis, glycine, serine, and threonine metabolism, arginine and proline metabolism, aminoacyl-tRNA biosynthesis, purine metabolism, and other metabolic pathways. Furthermore, using network pharmacology, a composite target pathway network of DangGui and KuShen for treating IHD was created, which is primarily associated to the tumor necrosis factor (TNF) signaling pathway, P53 signaling, and HIF-1 signaling pathways. The combined research indicated that the NF-B signaling pathway and the HIF-1 signaling pathway are critical in DK treatment of IHD. This study clearly confirms and expands on current knowledge of the synergistic effects of DG and KS in IHD.

The role of beat-by-beat cardiac features in machine learning classification of ischemic heart disease (IHD) in magnetocardiogram (MCG).

Cardiac electrical changes associated with ischemic heart disease (IHD) are subtle and could be detected even in rest condition in magnetocardiography (MCG) which measures weak cardiac magnetic fields. Cardiac features that are derived from MCG recorded from multiple locations on the chest of subjects and some conventional time domain indices are widely used in Machine learning (ML) classifiers to objectively distinguish IHD and control subjects. Most of the earlier studies have employed features that are derived from signal-averaged cardiac beats and have ignored inter-beat information. The present study demonstrates the utility of beat-by-beat features to be useful in classifying IHD subjects (n = 23) and healthy controls (n = 75) in 37-channel MCG data taken under rest condition of subjects. The study reveals the importance of three features (out of eight measured features) namely, the field map angle (FMA) computed from magnetic field map, beat-by-beat variations of alpha angle in the ST-T region and T wave magnitude variations in yielding a better classification accuracy (92.7 %) against that achieved by conventional features (81 %). Further, beat-by-beat features are also found to augment the accuracy in classifying myocardial infarction (MI) Versus control subjects in two public ECG databases (92 % from 88 % and 94 % from 77 %). These demonstrations summarily suggest the importance of beat-by-beat features in clinical diagnosis of ischemia.

Matrix metallopeptidase 9 contributes to the beginning of plaque and is a potential biomarker for the early identification of atherosclerosis in asymptomatic patients with diabetes.

Aims: To determine the roles of matrix metallopeptidase-9 (MMP9) on human coronary artery smooth muscle cells (HCASMCs) in vitro, early beginning of atherosclerosis in vivo in diabetic mice, and drug naïve patients with diabetes. Methods: Active human MMP9 (act-hMMP9) was added to HCASMCs and the expressions of MCP-1, ICAM-1, and VCAM-1 were measured. Act-hMMP9 (n=16) or placebo (n=15) was administered to diabetic KK.Cg-Ay/J (KK) mice. Carotid artery inflammation and atherosclerosis measurements were made at 2 and 10 weeks after treatment. An observational study of newly diagnosed drug naïve patients with type 2 diabetes mellitus (T2DM n=234) and healthy matched controls (n=41) was performed and patients had ultrasound of carotid arteries and some had coronary computed tomography angiogram for the assessment of atherosclerosis. Serum MMP9 was measured and its correlation with carotid artery or coronary artery plaques was determined. Results: In vitro, act-hMMP9 increased gene and protein expressions of MCP-1, ICAM-1, VCAM-1, and enhanced macrophage adhesion. Exogenous act-hMMP9 increased inflammation and initiated atherosclerosis in KK mice at 2 and 10 weeks: increased vessel wall thickness, lipid accumulation, and Galectin-3+ macrophage infiltration into the carotid arteries. In newly diagnosed T2DM patients, serum MMP9 correlated with carotid artery plaque size with a possible threshold cutoff point. In addition, serum MMP9 correlated with number of mixed plaques and grade of lumen stenosis in coronary arteries of patients with drug naïve T2DM. Conclusion: MMP9 may contribute to the initiation of atherosclerosis and may be a potential biomarker for the early identification of atherosclerosis in patients with diabetes. Clinical trial registration: https://clinicaltrials.gov, identifier NCT04424706.

Mortality trend of ischemic heart disease (2008-2022): A retrospective analysis of epidemiological data.

BACKGROUND: Age-sex specific trend analyses of ischemic heart disease (IHD)-related mortality and prevalent risk factors can improve our understanding and approach to the disease. METHODS: We performed a 15-year retrospective epidemiological analysis of acute and chronic IHD-related mortality and prevalent cardiovascular risk factors using administrative data from Veneto, a socio-economically homogeneous Italian region. Standard mortality statistics using the underlying cause of death (UCOD) and deaths with any mention of IHD in death certificates (MCOD) from ICD-10 codes I20-I25 was performed between 2008 and 2022. RESULTS: A total of 134,327 death certificates reported IHD-related deaths, representing 18.6% of all deaths. Proportional mortality decreased from 14.6% in 2008 to 7.8% in 2022 for deaths with IHD as the UCOD and from 23.5% to 14.6% for deaths with IHD among the MCOD. A more pronounced decline of proportionate and case-specific mortality rate was seen in women. The decline in mortality over the whole study period was larger for acute (vs. chronic) IHD. The COVID-19 pandemic led to a marked increase in mortality in 2020 (+12.2%) with a subsequent further decline. IHD-related deaths displayed a typical seasonal pattern with more deaths during winter. The prevalence of cardiovascular risk factors was higher in IHD (vs. no IHD) deaths: this association appeared more pronounced in younger adults. CONCLUSIONS: We provided an analysis of epidemiological trends in IHD-related mortality and prevalence of risk factors. Our findings indicate a change in the pattern of cardiovascular deaths and may suggest a switch in death from acute to chronic conditions.

Evaluation of Photobiomodulation on myocardial function of patients with advanced ischemic cardiomyopathy, A case series.

BACKGROUND: Heart failure is a growing cardiovascular disease burden with high mortality rates, primarily attributed to myocardial ischemia. Previous studies have shown promising effects of Photobiomodulation in heart failure treatment. In this study, we aimed to investigate the effect of Photobiomodulation on myocardial function of patients with advanced ischemic heart failure. METHOD: A non-randomized case series study involving 10 advanced heart failure patients was conducted. Patients received 15 sessions of transcutaneous and intravenous Photobiomodulation therapy using low-level red (658 nm) and infrared lasers (810 nm). All participants were evaluated by six-minute walk tests, dyspnea function classes, and echocardiography. 3 months after the sessions, the mentioned tests were reevaluated RESULT: The study included ten cardiomyopathic patients, 90 % male and the mean age was 63.20±6.01 years. The six-minute walk test change and shortness of breath function class change has 0.852 (p-value=0.006) correlation and the correlation between the Six-minute walk test change and the Systolic ejection fraction rate change, was 0.73 (p-value=0.025). CONCLUSION: Based on the results of the study, it can be concluded that interventions in cardiomyopathic patients have shown promising improvements in certain cardiac function parameters. Specifically, the significant enhancement in the six-minute walk test post-intervention (p = 0.013) suggests a positive impact on functional capacity. Although the increase in systolic ejection fraction rate was not statistically significant (p = 0.197), the correlations identified provide valuable insights into the interplay between variables such as shortness of breath function class and the six-minute walk test. These findings underscore the complexity of managing cardiomyopathy and highlight the importance of further research to elucidate the relationships between different clinical parameters and patient outcomes in this population.

The Impact of Atherosclerotic Burden on Vascular Outcomes in Patients with Stroke and Atrial Fibrillation: The ATHENA study.

Introduction: Patients with ischemic stroke (IS) and atrial fibrillation (AF) face a higher risk of recurrent vascular events. This study evaluates the impact of atherosclerotic vascular disease burden across different vascular territories on the risk of vascular events in patients with recent ischemic stroke and AF within 90 days. Patients and Methods: We included patients with IS and AF from the International RAF network in a prospective 90-day follow-up. Atherosclerotic vascular disease was identified by at least one of the following: Symptomatic ischemic heart disease, symptomatic peripheral artery disease, internal carotid stenosis ≥50%, or the presence of plaques in the aorta. The primary outcome was a composite of stroke, transient ischemic attack, systemic embolism, cerebral bleeding, and major extracranial bleeding within 90 days postacute stroke. Patients were categorized into 5 groups based on the number of affected atherosclerotic vascular territories, with those with no atherosclerotic vascular disease as the reference. Kaplan-Meier curves were generated and compared using the log-rank test to determine the predictive value of the number of diseased territories for the risk of events. Data analysis was performed with SPSS/PC Win Package 25.0. Results: Of the 2148 patients (mean age 77.59; 53.86% female), 744 (34.60%) had atherosclerosis. Multivariable analysis revealed that involvement of 3 (hazard ratio [HR] 2.80, 95% confidence interval [CI]: 1.20-6.53) or 4 (HR 6.81, 95% CI: 1.02-36.24) vascular territories was significantly associated with the risk of combined events. Conclusions: In patients with recent ischemic stroke and AF, atherosclerosis across multiple territories correlates with a higher risk of future vascular events.