Congestion is a key clinical feature of heart failure (HF), contributing to hospitalizations, disease progression, and poor outcomes. While traditionally considered a hemodynamic issue, congestion is now recognized as a systemic process affecting multiple organs. Renal dysfunction arises from impaired perfusion and sodium retention, leading to maladaptive left ventricular remodeling. Hepatic congestion contributes to cholestatic liver injury, while metabolic disturbances drive anemia, muscle wasting, and systemic inflammation. Additionally, congestion disrupts the intestinal barrier and immune function, exacerbating HF progression. Given its widespread impact, effective congestion management requires a shift from a cardiovascular-centered approach to a comprehensive, multidisciplinary strategy. Targeted decongestive therapy, metabolic and nutritional optimization, and immune modulation are crucial in mitigating congestion-related organ dysfunction. Early recognition and intervention are essential to slow disease progression, preserve functional capacity, and improve survival. Addressing HF congestion through personalized, evidence-based strategies is vital for optimizing long-term care and advancing treatment paradigms.

Diabetic foot ulcers represent a serious and costly complication of diabetes, with significant morbidity and mortality. The purpose of this study was to explore advancements in Artificial Intelligence, and wearable technologies for the prevention and management of diabetic foot ulcers. Key findings indicate that Artificial Intelligence-driven predictive analytics can identify early signs of diabetic foot ulcers, enabling timely interventions. Wearable technologies, such as continuous glucose monitors, smart insoles, and temperature sensors, provide real-time monitoring and early warnings. These technologies promise to revolutionize diabetic foot ulcer prevention by offering personalized care plans and fostering a participatory healthcare model. However, the review also highlights challenges such as patient adherence, socioeconomic barriers, and the need for further research to validate these technologies’ effectiveness. The integration of artificial intelligence and wearable technologies holds the potential to significantly improve diabetic foot ulcer outcomes, reduce healthcare costs, and provide a more proactive and personalized approach to diabetic care. Further investments in digital infrastructure, healthcare provider training, and addressing ethical considerations are essential for successful implementation.

Type 2 diabetes mellitus (DM) is a chronic metabolic disorder posing multifaceted challenges to global public health. Among its numerous complications, infected diabetic foot ulcers (IDFUs) represent a particularly debilitating consequence. Beyond cardiovascular implications, there is an emerging understanding of the interconnectedness among IDFUs, neuropathy, atherosclerosis, and dyslipidemia. IDFUs, peripheral neuropathy, and atherosclerosis share common risk factors and mechanistic pathways. The primary objective of this study was to characterize the lipid profiles in DM patients with IDFUs, comparing them with DM patients without foot ulcers, and with a control group of healthy subjects. The secondary objectives included evaluating apolipoprotein E (ApoE) levels across these study groups and comparing lipid profiles within IDFU subgroups. A total of 160 patients were assessed for this study. After applying exclusion criteria, 140 participants were included, divided into three groups: Group IDFU (80 patients with IDFUs), Group DM (32 patients with DM but no foot ulcers), and Group Controls (28 healthy controls). Compared to Group DM, Group IDFU demonstrated lower levels of high-density lipoprotein cholesterol (HDL-C) (30.9 ± 12.6 mg/dL vs. 40.8 ± 16.6 mg/dL, p = 0.002), but improved levels of ApoE (160.9 ± 68.4 mg/dL vs. 197.2 ± 69.6 mg/dL, p = 0.01), triglycerides (TG) (126.9 ± 56.2 mg/dL vs. 165.8 ± 79.0 mg/dL, p = 0.004), low-density lipoprotein cholesterol (LDL-C) (84.2 ± 32.3 mg/dL vs. 92.3 ± 39.3 mg/dL, p = 0.1), and total cholesterol (133.6 ± 43 mg/dL vs. 164.6 ± 44.4 mg/dL, p = 0.002). The IDFU patients exhibit improved lipid profiles, excepting HDL-C, which is unusual because IDFU follows complications related to dyslipidemia for DM patients. Anemia, impaired renal function, and elevated TG levels were identified as biomarkers for mortality among patients with IDFUs. The data suggest that a lower level of HDL-C and an improved lipid profile may indicate a systemic end-stage disease manifestation in DM patients with IDFUs.

Strategies have been researched and implemented to reduce the number of people with diabetic foot ulcers (DFUs). One problem is the accurate assessment of DFU severity, which is the main factor in resource allocation and treatment choice. The primary objective of this study was to assess pentraxin-3 as a biomarker of an infected DFU (IDFU), the limb amputation level prognosis, and patient survival. The secondary objectives were to evaluate and compare other markers, including white blood cells (WBCs), C-reactive protein (CRP), the erythrocyte sedimentation rate (ESR), and procalcitonin (PCT), for identifying IDFUs. Over a period of two years, 145 patients were followed; 131 of these were analyzed for this study. Pentraxin-3 was found to be a good predictor of death (p = 0.047). A comparison between IDFUs and DFUs revealed the following differences: PCT had the highest AUROC of 0.91, sensitivity of 93.7, and specificity of 83.3%. CRP had a cutoff value of 226 mg/L, an AUROC of 0.89, a sensitivity of 95.5%, and a specificity of 83.3%. Fibrinogen had an AUROC of 0.87 at a cutoff value of 5.29 g/L, with a good sensitivity and specificity of 85% and 87%, respectively. ESR had a cutoff value of 46 mm/h, an AUROC of 85%, a sensitivity of 83.7%, and a specificity of 83.3%. Pentraxin-3 showed promising results in predicting IDFUs and DFUs, and it served as a marker for the risk of death in IDFU patients during the 6 month follow-up. Other markers, including CRP, PCT, ESR, and fibrinogen, were more effective in differentiating between IDFUs and DFUs.

Heart failure (HF) remains a major global health challenge, driven by multifactorial pathophysiological processes, such as systemic congestion, endothelial dysfunction, and inflammation. While natriuretic peptides are well-established biomarkers for diagnosing and monitoring HF, they do not fully capture the complexity of vascular involvement. CD146, also known as melanoma cell adhesion molecule (MCAM), is a transmembrane glycoprotein primarily expressed on endothelial cells and involved in cell adhesion, vascular permeability, and angiogenesis. Its soluble form (sCD146), released in response to multiple pathophysiological stimuli, including venous and arterial endothelial stretch, oxidative stress, and inflammatory cytokine activation, has emerged as a promising biomarker reflecting both hemodynamic congestion and systemic endothelial stress. This review synthesizes current knowledge on the structure, regulation, and release mechanisms of CD146 and explores its clinical utility in HF. Elevated sCD146 levels have been associated with echocardiographic and radiological indicators of congestion, as well as with adverse outcomes. While promising, its application is limited by variability, lack of standardization, and confounding elevations in non-cardiac conditions, including malignancy.

Congestion is a key clinical feature of heart failure (HF), contributing to hospitalizations, disease progression, and poor outcomes. While traditionally considered a hemodynamic issue, congestion is now recognized as a systemic process affecting multiple organs. Renal dysfunction arises from impaired perfusion and sodium retention, leading to maladaptive left ventricular remodeling. Hepatic congestion contributes to cholestatic liver injury, while metabolic disturbances drive anemia, muscle wasting, and systemic inflammation. Additionally, congestion disrupts the intestinal barrier and immune function, exacerbating HF progression. Given its widespread impact, effective congestion management requires a shift from a cardiovascular-centered approach to a comprehensive, multidisciplinary strategy. Targeted decongestive therapy, metabolic and nutritional optimization, and immune modulation are crucial in mitigating congestion-related organ dysfunction. Early recognition and intervention are essential to slow disease progression, preserve functional capacity, and improve survival. Addressing HF congestion through personalized, evidence-based strategies is vital for optimizing long-term care and advancing treatment paradigms.