Citations

Cardio-oncology has emerged as a critical discipline in modern medicine due to the growing population of cancer survivors and the increasing recognition of cardiovascular disease as a major cause of morbidity and mortality in this population. While there have been significant advances in chemotherapy such as advances in chemotherapy, targeted therapies, immunotherapies, and radiation therapy, these treatments are linked to a wide range of cardiovascular toxicities such as myocarditis, arrhythmias, and progressive fibrotic remodeling. These toxicities tend to be caused by interrelated and multifactorial cellular processes including endothelial damage, immunological dysregulation and mitochondrial dysfunction. Therefore, early diagnosis of subclinical harm using multimodal surveillance strategies integrating clinical risk assessment, specialized clinical imaging, and circulating biomarkers has replaced reactive care of overt cardiotoxicity in modern cardio-oncology. Echocardiographic techniques such as longitudinal strain, with the help of biomarker-guided surveillance of natriuretic peptides and cardiac troponins, have made the early detection of cardiac dysfunction more effective. However, the current prediction risk models are still constrained and limited by their dependence on static clinical variables and their partial integration of biological mechanisms. This review examines the current methods for risk stratification and surveillance throughout the cancer care continuum, including baseline assessment, monitoring during active therapy, and long-term survivorship surveillance. Future approaches for tailored cardiovascular care are also highlighted, including new advances in precision cardio-oncology such as multi-omics profiling, molecular biomarkers, artificial intelligence, and mechanism-guided preventative strategies. Therefore, advancing biologically informed and risk-adapted monitoring frameworks may enhance early diagnosis, maximize cardioprotective measures, and lower long-term cardiovascular consequences.

Introduction: Seasonal, geographic, and socioeconomic factors all influence cardiovascular (CV) mortality. Long-term seasonal trends across United States regions remain insufficiently characterized. Research Question: We evaluated longitudinal trends in CV mortality across seasons in the U.S., stratified by geographic region and degree of urbanisation, from 1999 through 2020. Methods: Data on CV mortality (ICD-10: I00-I99) were extracted from the CDC WONDER database and stratified by season (Winter, Spring, Summer, Fall), U.S. Census region (Northeast, Midwest, South, West), and degree of urbanisation (6-level National Center for Health Statistics classification). Age-adjusted mortality rates (AAMRs) were calculated, and Joinpoint regression was used to estimate annual percent change (APC) and average annual percent change (AAPC) with 95% confidence intervals. Results: From 1999 to 2020, 18.8 million CV deaths were recorded (Table 1). Winter accounted for the highest mortality burden across all regions and urban settings but also showed the greatest improvement of the the 20-year study period, with AAPC reductions most pronounced in the Northeast (–2.83%) and Large Central Metro areas (–2.79%; p < 0.000001 for all trends; Figure 1). Summer and Fall, while associated with fewer deaths, showed slower progress, particularly in the Midwest (Fall AAPC: –1.81%; Summer: –1.77%) and rural areas (NonMetro Fall AAPC: –1.56%). Notably, Midwest Fall mortality demonstrated a statistically significant reversal, with an APC increase of +3.87% from 2018 to 2020 (p = 0.02)(Figure 1). Conclusion: CV mortality in the U.S. follows a distinct and evolving seasonal pattern. Although winter remains the deadliest season, it has seen the most substantial mortality reductions, likely tied to improved awareness, continuity of care, and cold-weather adaptations. However, slower progress during summer and fall, particularly in the Midwest and rural areas, reveals growing seasonal and geographic disparities. Most notably, the recent and statistically significant rise in Midwest fall mortality signals an urgent concern. This reversal may reflect emerging climate stressors such as prolonged heat, air pollution, and environmental volatility during transitional months compounded by reduced healthcare access or changing behavioral risk factors. These findings call for year-round, seasonally tailored public health strategies especially for underserved and climate-vulnerable populations.

Cardiovascular–Kidney–Metabolic (CKM) syndrome symbolizes a single pathophysiologic entity including obesity, type 2 diabetes, chronic kidney disease, and cardiovascular disease. These conditions altogether accelerate adverse outcomes when they coexist. Recent evidence has shown that the function of glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium–glucose cotransporter-2 inhibitors (SGLT2i) alleviate stress on multiple organs. SGLT2i has been demonstrated to benefit heart failure, hemodynamic regulation, and renal protection while GLP-1RA on the other hand has been shown to demonstrate a strong impact on glycemic management, weight loss, and atherosclerotic cardiovascular disease. This review will aim to understand and evaluate the mechanistic rationalization, clinical evidence, and the potential therapeutic treatment of SGLT2 inhibitors and GLP-1 receptor agonists to treat individuals who have CKM syndrome. This analysis also assesses whether combination therapy can be a synergistic approach that may benefit patients but is still underutilized because of the lack of clear guidelines, the associated costs, and disparities in accessibility. Therefore, in this review, we will be discussing the combination therapy’s additive and synergistic effects, current recommendations and clinical evidence, and mechanistic insights of these GLT2 inhibitors and GLP-1 receptor agonists in CKM syndrome patients. Overall, early and combination usage of GLP-1RA and SGLT2i may be essential to demonstrating a significant shift in modern cardiometabolic therapy toward patient-centered care.

Metabolic and bariatric surgery has been well described in the existing literature to be an effective and safe modality for weight loss in patients with obesity. Recently, hypoabsorptive procedures such as one-anastomosis gastric bypass (OAGB), biliopancreatic diversion with duodenal switch (BPD-DS), and single-anastomosis duodenoileostomy with sleeve (SADI-S) have gained traction, particularly among patients with severe obesity. These procedures combine restrictive and hypoabsorptive mechanisms, resulting in significant and sustainable weight loss, especially in those with severe obesity and associated comorbidities. However, the risk of malnutrition and nutritional deficiency following these procedures has been a deterrent for surgeons in their adoption. This review evaluates the existing literature on the safety, efficacy, and long-term outcomes of OAGB, BPD-DS, and SADI-S. While these hypoabsorptive procedures represent highly effective options for treating obesity, the associated nutritional complications necessitate the need for long-term follow-up and supplementation and highlight the need for careful patient selection.

Background and Objectives: Type 2 diabetes (T2D), closely associated with obesity, contributes to increased morbidity and mortality due to complications such as cardiometabolic disease. This review aims to evaluate the effectiveness of metabolic and bariatric surgeries (MBS) and endoscopic bariatric therapies (EBTs) in achieving diabetes remission and to examine key predictors influencing remission outcomes. Materials and Methods: This review synthesizes data from studies on MBS and EBT outcomes, focusing on predictors for diabetes remission such as preoperative insulin use, diabetes duration, HbA1c, and C-peptide levels. Additionally, predictive scoring systems, including the Individualized Metabolic Surgery (IMS), DiaRem, Advanced-DiaRem, ABCD, and Robert et al. scores, were analyzed for their utility in forecasting remission likelihood. Results: Key predictors of T2D remission include shorter diabetes duration, lower HbA1c, and higher C-peptide levels, while prolonged insulin use, and higher insulin doses are associated with lower remission rates. Scoring models like IMS and DiaRem demonstrate that lower scores correlate with a higher likelihood of remission, especially for procedures such as Roux-En-Y gastric bypass (RYGB). RYGB generally shows higher remission rates compared to sleeve gastrectomy (SG), particularly among patients with mild disease severity, while EBTs like ESG and IGBs contribute 5–20% total weight loss (TWL) and moderate glycemic control improvements. Conclusions: Both MBS and EBTs are effective for T2D management, with predictive scoring models aiding in individualized patient selection to optimize remission outcomes. Further research to validate these predictive tools across diverse populations could enhance treatment planning for both surgical and endoscopic interventions.

Background: Symptomatic intracranial hemorrhage (sICH) is the most dreaded complication after reperfusion therapy for acute ischemic stroke. We performed a meta-analysis of randomized controlled trials to estimate and compare risks of sICH after mechanical thrombectomy (MT) depending on the location of the large vessel occlusion, concomitant use of intravenous thrombolysis, timing of treatment, and core size. Methods: Randomized controlled trials were included following a comprehensive search strategy on different databases from inception to March 1, 2024. Random-effect models in a meta-analysis were employed to get the pooled risk ratios (RRs) and their corresponding 95% confidence intervals (95% CI) for sICH with MT, compared to other reperfusion treatment regimens, including best medical treatment and intravenous thrombolysis (IVT). Results: MT in the anterior circulation was associated with a significantly higher risk of sICH as compared with no-MT (RR: 1.46; 95%CI: 1.03-2.07; P = 0.037). Risk of sICH was comparable between the MT and MT+IVT groups (RR: 0.77; 95%CI: 0.57-1.03; P = 0.079). There was no difference in sICH risk with MT as compared with no-MT within 6 hours of last known well (RR: 1.14; 95%CI: 0.78-1.66; P = 0.485) and beyond that time (RR: 1.29; 95%CI: 0.80-2.08; P = 0.252); the risk of sICH was also comparable between MT conducted within 6 hours of last known well and MT conducted beyond that time (P = 0.512). The sICH risk for MT in the posterior circulation (RR: 7.48; 95%CI: 2.27-24.61) was significantly higher than for MT in the anterior circulation (RR: 1.18; 95%CI: 0.90-1.56) (P = 0.003). MT was also associated with a significantly higher sICH risk than no-MT among patients with large-core strokes (RR: 1.71; 95%CI: 1.09-2.66, P = 0.018). Conclusion: When evaluating cumulative evidence from randomized controlled trials, the risk of sICH is increased after MT compared with patients not treated with MT. Yet, the difference is largely driven by the greater risk of sICH in patients treated with MT for posterior circulation occlusions and, to a lesser degree, large core strokes. Concomitant use of intravenous thrombolysis and the use of MT in the extended therapeutic window do not raise the risk of sICH.

Background: Angiographic shape of occlusion, like the clot meniscus sign and the claw-sign, have been reported to potentially impact recanalization rate and clinical outcome in patient undergoing mechanical thrombectomy for acute ischemic strokes. Method: Following PRISMA guidelines, a systematic literature search was conducted across PubMed, Scopus, and Web of Science databases. Patients were grouped into clot meniscus/claw sign positive and negative groups based on the definitions obtained from each study. Primary outcomes included technical success, with a meta-analysis performed using a random-effects model to calculate proportions and odds ratios (OR) with 95% confidence intervals (Cl). Results: We included seven studies recruiting 1572 patients. The results indicated that the positive and negative groups had comparable first-pass effect (OR: 1.95; 95%CI: 0.76 – 5.01; P = 0.167) and final recanalization (OR: 1.36; 95%CI: 0.81 – 2.27; P = 0.248) rates. However, the rate of having a favorable functional outcome was significantly higher in the positive than negative sign groups (OR: 1.91; 95%CI: 1.25 – 2.92; P < 0.003). Within the sign-positive population, the use of contact aspiration was associated with a significantly higher rate of recanalization compared to using a stent retriever (OR: 0.18; 95%CI: 0.07 – 0.49; P < 0.001). This result did not translate into a clinical impact, as both stent retriever and contact aspiration showed comparable rates of functional independence at three months (OR: 0.22; 95%CI: 0.02 – 2.33; P = 0.210). Conclusion: The presence of the clot meniscus/claw sign is not associated with recanalization outcomes after thrombectomy. However, it might be a good sign to predict which thrombectomy technique might be associated with better recanalization, although current evidence might need further confirmation.

Introduction: In recent years, artificial intelligence (AI) has emerged as a transformative tool for enhancing stroke diagnosis, aiding treatment decision making, and improving overall patient care. Leading AI-driven platforms such as RapidAI, Brainomix®, and Viz.ai have been developed to assist healthcare professionals in the swift and accurate assessment of stroke patients. Methods: Following the PRISMA guidelines, a comprehensive systematic review was conducted using PubMed, Embase, Web of Science, and Scopus. Characteristic descriptive measures were gathered as appropriate from all included studies, including the sensitivity, specificity, accuracy, and comparison of the available tools. Results: A total of 31 studies were included, of which 29 studies focused on detecting acute ischemic stroke (AIS) or large vessel occlusions (LVOs), and 2 studies focused on hemorrhagic strokes. The four main tools used were Viz.ai, RapidAI, Brainomix®, and deep learning modules. Conclusions: AI tools in the treatment of stroke have demonstrated usefulness for diagnosing different stroke types, providing high levels of accuracy and helping to make quicker and more precise clinical judgments.

Bevacizumab (BCZ), commercially known as Avastin, is a monoclonal antibody that targets vascular endothelial growth factor (VEGF). Initially recognized as a breakthrough in oncology, it has since gained FDA approval for various ocular conditions and more recently, for the treatment of glioblastoma multiforme (GBM). Bevacizumab's ability to inhibit excessive neovascularization suggests it may have a potential role in treating chronic subdural hematomas (cSDH). Recent studies have shown that the pathophysiology of cSDH is more complex than previously understood, with VEGF concentrations in subdural fluid significantly exceeding those in serum, contributing to the high recurrence rates. Intra-arterial administration of bevacizumab has shown promising results in recent case series against chronic subdural hematoma, and may be a viable alternative to middle meningeal artery embolization. If successful, this treatment could significantly decrease the rate of recurrence and result in lower rates of severe neurological complications such as visual loss. This literature review explores the connection between bevacizumab and cSDH, focusing on the pharmacological, safety, and delivery aspects of this approach while summarizing the current evidence supporting its use.

Background There has been growing data about the association between D-dimer levels and thrombectomy outcomes in acute ischemic stroke patients (AIS) with no cumulative evidence. This systematic review and meta-analysis aim to discuss and analyze the findings of the current studies to provide more robust evidence in this regard. Methods A systematic search was conducted through PubMed, Web of Science, Embase, and Scopus to retrieve all relevant investigations. A meta-analysis was conducted, and the results were presented in odds ratio (ORs) for binary variables and ratio of means (ROM) for continuous variables, each accompanied by its respective 95% confidence intervals (CIs). Results After searching and screening, 14 studies were included. The analysis showed that the low D-dimer group had significantly higher rates of favorable functional outcome (OR: 4.40; 95%CI: 2.65–7.30; p < 0.001, n = 3) and recanalization (OR: 4.13; 95%CI: 1.57–10.84; p = 0.004, n = 3) than the high one. The association between D-dimer levels and first-pass effect and re-occlusion risk was also demonstrated. Eventually, two studies also demonstrated a significant association between high D-dimer levels and deep venous thrombosis and symptomatic intracranial hemorrhage as post-thrombectomy complications. Conclusion Current evidence indicates a significant association between D-dimer levels and post-thrombectomy outcomes in AIS patients. However, current data are remarkably heterogeneous, and additional comparative investigations are needed.