Cardiorenal Medicine最新文献

Background: Patients with chronic kidney disease (CKD) have an increased cardiovascular (CV) risk. The lower the glomerular filtration rate, the higher the CV risk.

Summary: Current data suggest that several uremic toxins lead to vascular inflammation and oxidative stress that, in turn, lead to endothelial dysfunction, changes in smooth muscle cells' phenotype, and increased degradation of elastin and collagen fibers. These processes lead to both functional and structural arterial stiffening and explain part of the increased risk of acute myocardial infarction and stroke reported in patients with CKD. Considering that, at least in patients with end-stage kidney disease, the reduction of arterial stiffness is associated with a parallel decrease of the CV risk; vascular function is a potential target for therapy to reduce the CV risk.

Key messages: In this review, we explore mechanisms of vascular dysfunction in CKD, paying particular attention to inflammation, reporting current data in other models of mild and severe inflammation, and discussing the vascular effect of several drugs currently used in nephrology.

Background: Diabetes mellitus is a prevalent chronic disease that is becoming increasingly common worldwide and can lead to a number of dangerous complications. The Wnt signaling pathway is important for the onset and progression of diabetes. Wnt3a is a typical Wnt ligand that can increase the stability of β-catenin, control TCF7L2 expression, promote β-cell proliferation, and reduce apoptosis.

Summary: The involvement of the Wnt3a/β-catenin/TCF7L2 signaling pathway in the development of diabetes and associated problems related to the kidneys is reviewed in this article.

Key message: We believe that a thorough comprehension of the molecular connections between diabetes and signaling pathways will eventually lead to improved diabetes management.

Background: Cardiorenal syndrome (CRS) refers to the bidirectional interactions between the acutely or chronically dysfunctioning heart and kidney that lead to poor outcomes. Due to the evolving literature on renal impairment and heart failure with preserved ejection fraction (HFpEF), this review aimed to highlight the pathophysiological pathways, diagnosis using imaging and biomarkers, and management of CRS in patients with HFpEF.

Summary: The mechanism of CRS in HFpEF can be hypothesized due to the interplay of elevated central venous pressure, renin-angiotensin-aldosterone system (RAAS) activation, oxidative stress, endothelial dysfunction, coronary microvascular dysfunction, and chronotropic incompetence. The correlation between HFpEF and worsening renal function seen in both long-term trials and observational data points to the evidence for these mechanisms. Upcoming biomarkers such as cystatin C, NGAL, NAG, KIM-1, ST-2, and galectin-3, along with conventional ones, are promising for early diagnosis, risk stratification, or response to therapy. Despite the lack of specific treatment for CRS in HFpEF, the management can be discussed with similar medications used in goal-directed medical therapy for heart failure with reduced ejection fraction (HFrEF). Additionally, there is increasing evidence for the role of vasodilators, inotropes, assist devices, and renal denervation, although long-term studies are necessary.

Key message: The management of CRS in HFpEF is an evolving field that currently shows promise for using diagnostic and prognostic biomarkers, conventional heart failure medications, and novel therapies such as renal denervation, interatrial shunt, and renal assist devices. Further studies are needed to understand the pathophysiological pathways, validate the use of novel biomarkers, especially for early diagnosis and prognostication, and institute new management strategies for CRS in patients with HFpEF.

Introduction: This study endeavors to evaluate the distribution patterns and research frontiers within the international literature on the association between chronic kidney disease and cardiovascular diseases in the medical field, through bibliometric analysis and visualized information.

Methods: The Web of Science Core Collection database was selected as the data source from 2010 to 2023, and articles related to the association between chronic kidney disease and cardiovascular diseases were retrieved. The article data were analyzed through CiteSpace for bibliometric mapping, involving the examination of keywords, references, country/region distributions, and institutional contributions to identify and understand the evolving research dynamics and frontiers in this interdisciplinary field.

Results: A total of 2,936 publications on the association between chronic kidney disease and cardiovascular diseases were included. The country with the most publications was USA (n = 904), and the institution with the most publications was University of Pennsylvania (n = 116). The most frequent keywords were chronic kidney disease (n = 2,194), cardiovascular disease (n = 1,188), and mortality (n = 604). The top 20 keywords and top 10 references that burst during 2010 to 2023 were listed.

Conclusion: The association between chronic kidney disease and cardiovascular diseases has sparked extensive research, particularly in high-prevalence areas. From 2010 to 2023, publications on the association between chronic kidney disease and cardiovascular diseases show a linear increase. Current research hotspots and frontiers are mainly in cardiovascular-kidney-metabolic syndrome; innovative therapies and drug impact; gut microbiome; Mendelian randomization analysis. Overall, our study offers a comprehensive scientometric analysis of the association between chronic kidney disease and cardiovascular diseases, providing valuable insights for both researchers and healthcare professionals in the field.

Background: The growing complexity of patient data and the intricate relationship between heart failure (HF) and acute kidney injury (AKI) underscore the potential benefits of integrating artificial intelligence (AI) and machine learning into healthcare. These advanced analytical tools aim to improve the understanding of the pathophysiological relationship between kidney and heart, provide optimized, individualized, and timely care, and improve outcomes of HF with AKI patients.

Summary: This comprehensive review article examines the transformative potential of AI and machine-learning solutions in addressing the challenges within this domain. The article explores a range of methodologies, including supervised and unsupervised learning, reinforcement learning, and AI-driven tools like chatbots and large language models. We highlight how these technologies can be tailored to tackle the complex issues prevalent among HF patients with AKI. The potential applications identified span predictive modeling, personalized interventions, real-time monitoring, and collaborative treatment planning. Additionally, we emphasize the necessity of thorough validation, the importance of collaborative efforts between cardiologists and nephrologists, and the consideration of ethical aspects. These factors are critical for the effective application of AI in this area.

Key messages: As the healthcare field evolves, the synergy of advanced analytical tools and clinical expertise holds significant promise to enhance the care and outcomes of individuals who deal with the combined challenges of HF and AKI.

Introduction: Cardiovascular diseases constitute a significant cause of morbidity and mortality in individuals with autosomal dominant polycystic kidney disease (ADPKD). This study aimed to assess the long-term effects of tolvaptan on the kidneys and heart in rapidly progressing ADPKD.

Methods: Among 354 patients diagnosed with ADPKD, 58 meeting the eligibility criteria for tolvaptan were included in the study. The study comprised two groups with similar demographic and clinical characteristics: 29 patients receiving tolvaptan treatment and 29 in the control group. Several included genetic analysis, magnetic resonance imaging, and echocardiography. Clinical and cardiac changes were recorded in both groups after a 3-year follow-up.

Results: Tolvaptan treatment demonstrated a significant reduction in the rate of eGFR decline compared to the control group. Furthermore, it was observed that tolvaptan could prevent the development of cardiac arrhythmias by inhibiting an increase in QTc interval and heart rate.

Conclusion: These findings suggest that, in addition to slowing kidney progression in ADPKD management, tolvaptan may potentially benefit in preventing cardiac complications.

Introduction: The efficacy and safety of emerging therapies for heart failure with reduced ejection fraction (HFrEF) have never been compared in specific subgroups of patients.

Methods: PubMed, Cochrane Registry, Web of Science, Scopus, and EMBASE libraries were used to extract data. We used the following keywords: (heart failure with reduced ejection fraction OR HFrEF) AND (treatment OR therapy) OR (cardiovascular death) OR (hospitalization for heart failure). We compared randomized clinical trials for HFrEF emerging therapies focusing on the elderly (patients >65 years old and >75 years old), chronic kidney disease (CKD) (estimated glomerular filtration rate (eGFR) < 60 mL/min), patients with diabetes mellitus (DM), coronary heart disease (CAD), New York Heart Association (NYHA) class III/IV, women, patients on sacubitril/valsartan (S/V). The primary outcome was the efficacy composite endpoint of cardiovascular death (CVD) and HF hospitalization (HFH).

Results: S/V significantly reduced the primary outcome in patients >65 years old (RR: 0.80; 95% CI: 0.68-0.94) and with CKD (RR: 0.79; 95% CI: 0.69-0.90); dapagliflozin in patients >65 (RR: 0.72; 95% CI: 0.60-0.86) and >75 years old (RR: 0.68; 95% CI: 0.53-0.87), in those with CKD (RR: 0.72; 95% CI: 0.59-0.88), DM (RR: 0.75; 95% CI: 0.63-0.89), and CAD (RR: 0.77; 95% CI: 0.65-0.92); empagliflozin in patients >65 years old (RR: 0.78; 95% CI: 0.66-0.93), those with DM (RR: 0.72; 95% CI: 0.60-0.86), CAD (RR: 0.82; 95% CI: 0.68-0.99), women (RR: 0.59; 95% CI: 0.44-0.79), and in patients on S/V (RR: 0.64; 95% CI: 0.45-0.91); vericiguat in patients with CKD (RR: 0.84; 95% CI: 0.73-0.97) and NYHA class III/IV (RR: 0.87; 95% CI: 0.77-0.98); omecamtiv mecarbil in patients with CAD (RR: 0.90; 95% CI: 0.82-0.99) and NYHA III/IV (RR: 0.88; 95% CI: 0.80-0.97).

Conclusion: Emerging HFrEF therapies show a clinical benefit with the reduction of the primary composite endpoint of CVD and HFH, with each drug being more effective in specific patient population.