Assessment of valve regurgitation severity via contrastive learning and multi-view video integration

Objective. This paper presents a novel approach for addressing the intricate task of diagnosing aortic valve regurgitation (AR), a valvular disease characterized by blood leakage due to incompetence of the valve closure. Conventional diagnostic techniques require detailed evaluations of multi-modal clinical data, frequently resulting in labor-intensive and time-consuming procedures that are vulnerable to varying subjective assessment of regurgitation severity.Approach. In our research, we introduce the multi-view video contrastive network, designed to leverage multiple color Doppler imaging inputs for multi-view video processing. We leverage supervised contrastive learning as a strategic approach to tackle class imbalance and enhance the effectiveness of our feature representation learning. Specifically, we introduce a contrastive learning framework to enhance representation learning within the embedding space through inter-patient and intra-patient contrastive loss terms.Main results. We conducted extensive experiments using an in-house dataset comprising 250 echocardiography video series. Our results exhibit a substantial improvement in diagnostic accuracy for AR compared to state-of-the-art methods in terms of accuracy by 9.60%, precision by 8.67%, recall by 9.01%, andF1-score by 8.92%. These results emphasize the capacity of our approach to provide a more precise and efficient method for evaluating the severity of AR.Significance. The proposed model could quickly and accurately make decisions about the severity of AR, potentially serving as a useful prescreening tool.

Marital status and outcomes in patients with cardiovascular disease

The national burden of cardiovascular disease (CVD) continues to impose significant risk of morbidity, mortality and increased costs. While traditional risk factors have been well-established, the evolving role of non-traditional risk factors, including socioeconomic and psychosocial factors, is increasingly being recognized. Several studies have acknowledged an association between marital status and the presence of CVD and its associated adverse outcomes. Across multiple U.S. and international cohorts, patients who are unmarried, including those who are divorced, separated, widowed, or never married, have an increased rate of adverse cardiovascular events when compared to their married counterparts. Some studies suggest that marriage may have a more protective role for men compared to women. Furthermore, dissatisfaction in a marriage and marriage quality have significant impact on cardiovascular risk. Psychosocial and socioeconomic factors, as well as other acute stressors, may contribute to the association between marital status and CVD outcomes, but the underlying mechanisms are not completely clear. Further investigation is required to identify potential targets for intervention and to determine whether more aggressive targeting of standard anti-atherosclerotic therapies can favorably impact CVD risk in unmarried patients.

HDL: Fact, fiction, or function? HDL cholesterol and cardiovascular risk

The measurement of high-density lipoprotein cholesterol is highly utilized by clinicians to help predict cardiovascular risk, but this measure is not causally associated with atherosclerotic cardiovascular disease events. The use of Mendelian randomization studies has led to a change in investigative attention from the high-density lipoprotein cholesterol concentration to its physiological functions. High-density lipoprotein plays key roles in important pathways related to the development of atherosclerotic disease including reverse cholesterol transport, oxidation and inflammation, and endothelial function as well as in other physiological systems including immune system modulation, cellular apoptosis, and endothelial progenitor cell homeostasis. The identification of dysfunctional high-density lipoprotein may better predict future cardiovascular events compared to numerical high-density lipoprotein cholesterol and aid in enhanced clinical risk stratification. The emergence of discrete physiological measurements of high-density lipoprotein, such as cholesterol efflux capacity and the high-density lipoprotein inflammatory index, may provide an opportunity for clinical application in the future. However, the validity of these measurements and their commercial availability remain barriers to a realistic transition to clinical medicine.

Immunotherapy for the prevention of atherosclerotic cardiovascular disease: Promise and possibilities

Cardiovascular disease remains the leading cause of death worldwide with coronary atherosclerotic heart disease being the largest contributor. The mechanisms behind the presence and progression of atherosclerosis remain an area of intense scientific focus. Immune dysregulation and inflammation are key contributors to the development of an atherosclerotic plaque and its progression to acute coronary syndromes. Increased circulating levels of biomarkers of systemic inflammation including hsCRP are correlated with a higher cardiovascular risk. Targeting specific inflammatory pathways implicated in atherosclerotic plaque formation is an exciting area of ongoing research. Target specific therapies directed at pro-inflammatory cytokines such as IL-1β, IL-6, TNFα, and CCL2 have demonstrated slowing in the progression of atherosclerosis in animal models and improved cardiovascular outcomes in human subjects. Most notably, treatment with the monoclonal antibody canakinumab, which directly targets and neutralizes IL-1β, was recently shown to be associated with reduced risk of adverse cardiovascular events compared to placebo in a randomized, placebo-controlled trial. Several other therapies including colchicine, methotrexate and leukotriene inhibitors demonstrate the potential for lowering cardiovascular risk through immunomodulation, though further studies are needed. Understanding the role of inflammation in atherosclerosis and the development of targeted immunotherapies continues to be an evolving area of research that is rapidly becoming clinically relevant for the 21st century cardiac patient.

Comparison of the Association Between High-Sensitivity Troponin I and Adverse Cardiovascular Outcomes in Patients With Versus Without Chronic Kidney Disease

It is unknown whether the association of high-sensitivity troponin I (hs-TnI) with adverse cardiovascular outcomes varies by the presence of chronic kidney disease (CKD). We examined the association of hs-TnI with adverse cardiovascular outcomes in those with and without CKD in 4,107 (mean age, 64 years; 63% men; 20% black) patients from the Emory Cardiovascular Biobank who underwent coronary angiography. CKD (n = 1,073) was defined as estimated glomerular filtration rate <60 ml/min/1.73 m² or urine albumin/creatinine ratio >30 mg/g at baseline. Cox regression was used to compute hazard ratios (HR) for the association between hs-TnI levels (per doubling of hs-TnI: log₂[hs-TnI] + 1) and death, cardiovascular death, and major adverse cardiac events (MACE), separately. Hs-TnI was a stronger predictor of death (CKD: HR 1.23, 95% confidence interval [CI] 1.15 to 1.31; no CKD: HR 1.11, 95% CI 1.05 to 1.17, p-interaction = 0.023), cardiovascular death (CKD: HR 1.24, 95% CI 1.14 to 1.34; no CKD: HR 1.15, 95% CI 1.07 to 1.22, p-interaction = 0.12), and MACE (CKD: HR 1.18, 95% CI 1.11 to 1.25; no CKD: HR 1.11, 95% CI 1.06 to 1.16, p-interaction = 0.095) in CKD compared with non-CKD. The association between hs-TnI and death in patients with CKD was stronger for patients without obstructive coronary artery disease (no obstructive coronary artery disease: HR 1.60, 95% CI 1.27 to 2.01; obstructive coronary artery disease: HR 1.19, 95% CI 1.11 to 1.27, p-interaction = 0.041). In conclusion, hs-TnI is a stronger predictor of adverse cardiovascular events in patients who have CKD than those without, even in the absence of obstructive coronary artery disease. Hs-TnI may identify CKD patients who are high risk for adverse cardiovascular outcomes in whom aggressive risk factor modification strategies are warranted.

The art of cardiovascular risk assessment

Cardiovascular disease (CVD) remains the leading cause of death in the United States. Healthcare expenditures have been principally allocated toward treatment of CVD at the end of the health/disease continuum, rather than toward health promotion and disease prevention. A focused effort on both primordial and primary prevention can promote cardiovascular health and reduce the burden of CVD. Risk-factor assessment for predicting atherosclerotic CVD events serves as the foundation of preventive cardiology and has been driven by population-based scoring algorithms based on traditional risk factors. Incorporating individual nontraditional risk factors, biomarkers, and selective use of noninvasive measures may help identify more at-risk patients as well as truly low-risk individuals, allowing for better targeting of treatment intensity. Using a combination of validated population-based atherosclerotic CVD risk-assessment tools, nontraditional risk factors, social health determinants, and novel markers of atherosclerotic disease, we should be able to improve our ability to assess CVD risk. Through scientific evidence, clinical judgment, and discussion between the patient and clinician, we can implement an effective evidence-based strategy to assess and reduce CVD risk.

Biomarkers to Predict Cardiovascular Death

This article reviews biomarkers that have been shown to identify subjects at increased risk for cardiovascular death within the general population, in those with established coronary artery disease, and in those with heart failure. Use of biomarkers for risk stratification for sudden cardiac death continues to evolve. It seems that a multimarker strategy for risk stratification using simple measures of circulating proteins and usual clinical risk factors, particularly in patients with known coronary artery disease, can be used to identify patients at near-term risk of death. Whether similar strategies in the general population will prove to be cost-effective needs to be investigated.

Comprehensive primary prevention of cardiovascular disease in women

Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of mortality in women. Historically, medical research has focused on male patients, and subsequently, there has been decreased awareness of the burden of ASCVD in females until recent years. The biological differences between sexes and differences in societal expectations defined by gender roles contribute to gender differences in ASCVD risk factors. With these differing risk profiles, risk assessment, risk stratification, and primary preventive measures of ASCVD are different in women and men. In this review article, clinicians will understand the risk factors unique to women, such as preeclampsia, gestational diabetes, and those that disproportionately affect them such as autoimmune disorders. With these conditions in mind, the approach to ASCVD risk assessment and stratification in women will be discussed. Furthermore, the literature behind the effects of primary preventive measures in women, including lifestyle modifications, aspirin, statins, and anticoagulation, will be reviewed. The aim of this review article was to ultimately improve ASCVD primary prevention by reducing gender disparities through education of physicians.

Breast cancer therapies and cardiomyopathy

The prevalence of chemotherapy-related cardiac disease is increasing and management demands a multidisciplinary approach from cardiologists and oncologists. Pretreatment identification of predisposing risk factors and assessment of cardiac function before and at intervals during and after therapy with cardiotoxic agents are necessary. In clinical practice, surveillance is largely performed using transthoracic echocardiography or multi-gated radionuclide angiography. Imaging strategies that detect cardiac injury before overt left ventricular systolic dysfunction provide an opportunity for early intervention and improved cardiac outcomes.

Evaluation of pancreatic damage after extracorporeal shock wave lithotripsy, percutaneous stone surgery, and ureteroscopy

OBJECTIVES

To complete a prospective evaluation of serum amylase and lipase levels before and after shock wave lithotripsy (SWL) for renal stones. We also compared these serum levels to those of patients undergoing percutaneous and ureteroscopic stone surgery. SWL injury to the pancreas should be noted by an increase in serum amylase and lipase.

METHODS

A prospective evaluation of 38 patients (16 who underwent SWL, 15 who underwent percutaneous nephrostolithotomy, and 7 who underwent ureteroscopic stone manipulation) who underwent treatment of renal calculi at our institution was completed. The control group was the combined group of patients who had undergone percutaneous nephrostolithotomy or ureteroscopic stone manipulation. The serum amylase and lipase levels were measured before the procedure, immediately after the procedure (2 hours), and ≥30 days after the procedure.

RESULTS

No statistically significant difference was found in the change from before to immediately after the procedure between the SWL group and the controls in amylase (median decrease 6 U/L vs 11 U/L, P = .45) or lipase (median decrease 4 U/L vs 9 U/L, P = .31). Also, no statistically significant evidence was seen in the change from before to >30 days after the procedure between the SWL group and controls in the amylase level (median increase 0 U/L vs 2 U/L, P = 1.00) or lipase (median change 2 U/L increase vs 1 U/L decrease, P = .96).

CONCLUSIONS

SWL does not appear to noticeably increase the serum amylase and lipase level directly postoperatively or >30 days after the procedure compared with baseline or compared with the controls.