Search Results (42)

Background: Cardiovascular (CV) risk is increased in psoriatic arthritis (PsA), yet vascular assessment has largely focused on carotid arteries, potentially underestimating systemic atherosclerosis. Objective: The objective of this study was to characterize the distribution and concordance of atherosclerotic plaques across carotid, femoral, and aortic territories in PsA and evaluate their incremental value over SCORE2. Methods: In this cross-sectional study, 250 unselected patients with PsA underwent carotid and femoral ultrasound and abdominal X-ray. Plaque prevalence and multiterritorial involvement (≥2 vascular beds) were assessed. Agreement between territories was evaluated using Cohen’s κ. In patients aged 50–69 years, the incremental value of vascular territories over SCORE2 was evaluated using ROC curves, bootstrap-corrected decision curve analysis (DCA), and reclassification metrics (IDI and continuous NRI). Results: Plaques were detected in carotid (36.0%), femoral (62.8%), and aortic (31.6%) territories, with multiterritorial involvement in 43.2%. Agreement between vascular beds was moderate (κ ≈ 0.35). Notably, 48.1% of patients without carotid plaques had femoral involvement. SCORE2 categories showed a strong gradient with plaque prevalence (p < 0.0001). In patients aged 50–69 years, adding vascular imaging improved discrimination for multiterritorial disease (AUC 0.73 vs. 0.86–0.90). Reclassification analyses demonstrated that carotid plaque substantially improved the identification of multiterritorial atherosclerosis (IDI 0.32, 95% CI 0.18–0.50; continuous NRI 1.33, 95% CI 1.08–1.60), with similar results observed for aortic plaque (IDI 0.33, 95% CI 0.20–0.50; continuous NRI 1.24, 95% CI 0.99–1.48). Femoral plaque provided a more modest improvement (IDI 0.26, 95% CI 0.16–0.37; continuous NRI 1.11, 95% CI 0.80–1.33). Conversely, when the outcome was defined as the presence of any plaque, femoral plaque provided the greatest incremental value over SCORE2 (AUC 0.96, 95% CI 0.93–0.99). Bootstrap-corrected DCA confirmed improved net benefit. Conclusions: The incremental value of vascular imaging over SCORE2 appears to be phenotype-dependent. Femoral plaque provided the greatest improvement for detecting the presence of subclinical atherosclerosis, whereas carotid and aortic plaques offered greater incremental value for identifying multiterritorial vascular involvement. These findings support a tailored, multiterritorial approach to cardiovascular risk assessment in patients with PsA. Full article

Background: Shift-working healthcare workers (HCWs) are at elevated cardiovascular (CV) risk due to chronic circadian disruption; however, gender-stratified data on CV risk profiles and modifiable risk factor distribution by occupational exposure duration remain scarce in the Italian hospital setting. This cross-sectional study aimed to characterise the 10-year CV risk profile and the distribution of modifiable risk factors in a hospital-based sample of shift-working HCWs. Methods: A retrospective cross-sectional study was conducted using data from routine occupational health surveillance of shift-working HCWs at a large Italian hospital in Salento, Southern Italy (survey year: 2025). The 10-year CV risk was estimated using the CUORE Project algorithm, validated for the Italian population. Risk was stratified by gender, age group, and shift work duration. Multivariable logistic regression models, adjusted for age, marital status, and presence of children at home, evaluated associations between selected risk factors and CV risk category. The study was reported in accordance with STROBE guidelines. Results: Of 765 HCWs included (320 males, 445 females; mean age 49.3 ± 8.5 years), male workers showed a significantly higher mean 10-year CV risk score (4.98 ± 2.8 vs. 1.34 ± 0.9; p < 0.05). Among male workers, the odds of moderate/high CV risk increased progressively with shift work duration (aOR 6.4 for >30 years). Males also showed significantly higher prevalence of arterial hypertension, overweight, and obesity across all strata. Conclusions: Male shift-working HCWs represent a higher-risk subgroup, characterised by a greater burden of modifiable cardiovascular risk factors. Integration of validated risk assessment tools into occupational health surveillance may support targeted preventive strategies in hospital settings. Full article

This paper proposes an intelligent stress detection method based on convolutional neural networks and the DeepFace framework, addressing the challenges of increasingly prominent global mental health issues and the limitations of traditional psychological services in terms of early warning latency and coverage. A three-level cascaded strategy combining RetinaFace, MTCNN, and OpenCV is first employed for face detection and localization, and facial expression features are extracted via the DeepFace framework. By integrating Russell’s valence–arousal model with Lazarus’s cognitive appraisal theory, an emotion–stress mapping rule is constructed to convert seven-category emotion probability distributions into 1–5 scale stress values. The method employs a cloud–edge collaborative flow, with feature extraction performed at the edge and original images promptly destroyed to mitigate privacy risks. Experiments on public expression datasets indicate that the method achieves above 99% face detection accuracy, 84.99% emotion recognition accuracy, and 86.09% stress assessment consistency grounded in the emotion–stress mapping rule, with an average response time per frame of approximately 200 ms. Based on 233 multi-scenario surveys, some respondents show limited stress self-awareness, suggesting traditional self-reporting may have blind spots, and thus this method serves as a useful supplement. Full article

Background: The number of patients with chronic coronary syndromes (CCS) is growing, influenced by factors such as increasing life expectancy and prevalence of risk factors. Thus, cardiovascular (CV) disease remains the leading cause of mortality and morbidity worldwide. The main objective of the study was to identify factors associated with long-term survival in patients with chronic coronary syndrome, with a focus on kidney function described by eGFR and albuminuria (assessed by uACR). Methods: The study comprised a total of 257 patients from Bialystok (Poland), aged ≤ 80 years, who 6–18 months earlier were hospitalized for acute coronary syndrome or elective myocardial revascularization. During the 80-month follow-up, 40 (15.6%) patients died, while there was no information about three (1.2%) patients. Patients with preserved eGFR and without albuminuria were characterized by the longest survival, with deterioration of prognosis in groups of progressive kidney dysfunction as defined by KDIGO based on eGFR and uACR. The primary endpoint was death from any cause. Results: Those who survived the 80-month follow-up period were younger (p < 0.001), had a lower waist circumference (p = 0.028), higher diastolic blood pressure (p = 0.026), lower NTproBNP (p < 0.001) and hsCRP (p = 0.001) concentrations, reduced eGFR (p = 0.004) and increased ACR (p = 0.023) were strongly associated with mortality. In logistic regression analysis with stepwise elimination of variables, the strongest factors affecting survival were hemoglobin concentration, left ventricle ejection fraction (LVEF) and hsCRP. Conclusions: Measurement of albuminuria, in addition to eGFR, allows patients to be correctly classified into CV risk categories and facilitates appropriate treatment of patients with CCS. Higher diastolic blood pressure (but still within normal range) was found in patients who later survived 6 years. Measurements of hsCRP, hemoglobin concentration and LVEF help to identify CCS patients at the highest risk of mortality in long-term follow-up. Full article

Objectives: This study aimed to investigate the association between optical coherence tomography angiography (OCTA) parameters and cardiovascular (CV) risk scores in individuals with type 1 diabetes (T1D). Methods: A cross-sectional analysis of a large-scale prospective OCTA trial cohort (ClinicalTrials.gov NCT03422965) was performed. Demographic, systemic, and ocular data—including OCTA imaging—were collected. T1D participants were stratified into three CV risk categories: moderate (MR), high (HR), and very high risk (VHR). Individualized predictions for fatal and non-fatal CV events at 5 and 10 years were calculated using the STENO T1 Risk Engine calculator. Results: A total of 501 individuals (1 eye/patient; 397 T1D, 104 controls) were included. Subjects with MR (n = 37), HR (n = 152) and VHR (n = 208) exhibited significantly reduced vessel density (VD) (20.9 ± 1.3 vs. 20.2 ± 1.6 vs. 19.3 ± 1.8 mm⁻¹, p < 0.05), perfusion density (PD) (0.37 ± 0.02 vs. 0.36 ± 0.02 vs. 0.35 ± 0.02%, p < 0.05) and foveal avascular zone circularity (0.69 ± 0.06 vs. 0.65 ± 0.07 vs. 0.63 ± 0.09, p < 0.05). Statistically significant negative correlations were observed between CV risk and OCTA parameters including VD, PD, and retinal nerve fiber layer thickness, while central macular thickness (CMT) showed a positive correlation (p < 0.05). Notably, CMT was significantly associated with 5-year CV risk. Conclusions: OCTA-derived metrics, particularly reduced retinal VD and PD, are associated with elevated CV risk scores in T1D patients. These findings suggest that OCTA may serve as a valuable non-invasive tool for identifying individuals with increased CV risk scores. Full article

Background: Obesity is a substantial global health issue associated with increased risk of cardiovascular disease (CVD) and metabolic dysfunction-associated steatotic liver disease (MASLD). Despite the known link between obesity, CVD and MASLD, it remains unknown which factors contribute to higher cardiovascular (CV) risk in patients with obesity-induced liver fibrosis. Liver fibrosis, assessed by the Fibrosis-4 (FIB-4) index, may help to identify patients with obesity at increased CV risk. Methods: Patients with severe obesity (Body Mass Index (BMI) ≥ 40 kg/m²) scheduled for bariatric surgery were subdivided into FIB-4 categories. Systemic leukocyte activation markers were measured by flow cytometry. Additionally, markers of vascular damage, namely the carotid intima media thickness (cIMT) and pulse wave velocity (PWV), were included. Results: The cohort predominantly consisted of women (74%) with an average age of 41 years and mean BMI of 42.7 kg/m². Patients with an elevated FIB-4 (≥1.3) had higher systolic (146 ± 16 vs. 139 ± 15, p = 0.002) and diastolic blood pressure (91 ± 13 vs. 83 ± 12, p = 0.002), increased cIMT (0.66 ± 0.11 vs. 0.55 ± 0.10, p < 0.001), and higher PWV (8.2 ± 0.9 vs. 6.8 ± 1.1, p < 0.001) compared to those with a low FIB-4 (<1.3). Additionally, patients with a high FIB-4 tended to show increased expression of CD66b on granulocytes. Conclusions: Patients with severe obesity who were at risk of liver fibrosis showed greater signs of vascular damage, insulin resistance, and systemic inflammation. This suggests that liver fibrosis can be a useful marker for identifying patients with obesity at high CV risk. Full article

Cardiovascular diseases (CVDs), including coronary artery disease (CAD), are the main causes of mortality and morbidity worldwide. The pathophysiology of CAD includes atherosclerosis, a chronic process leading to atherosclerotic plaque development. Clinical manifestations could be chronic, such as in the chronic coronary syndrome (CCS) scenario, or acute, such as acute coronary syndrome (ACS). The risk of subsequent cardiovascular (CV) events depends on the risk category defined by international guidelines. In particular, patients who have experienced a CV event requiring percutaneous coronary intervention (PCI) remain at heightened residual risk for subsequent events, despite advancements in standard-of-care strategies. Therefore, comprehensive residual risk management is essential in this population to mitigate ischemic risk. Secondary prevention includes different targets of treatments—hypertension, dyslipidemia, diabetes mellitus, body weight control, smoking habit reduction, and healthy lifestyle promotion. Nevertheless, there is a critical, unmet need for therapeutic strategies for this high-risk population. Growing evidence shows that atherogenic lipids and vascular inflammation drive residual risk after PCI, despite guideline-directed therapy. This review summarizes more recent evidence about secondary prevention focusing on optimal medical therapy (OMT), targeting lipids and inflammation for patients undergoing PCI. Full article

Accurate prediction of crop phenological stages is essential for effective crop management. Such a prediction provides the timing of phenological stages, thus aiding in scheduling management practices, understanding the potential risks of adverse weather at critical phenological stages, and adjusting sowing dates. Temperature is the dominant climatic factor affecting maize (Zea mays L.) development, with photoperiod serving as a secondary influence. This study used maize field data with recorded flowering and maturity dates to evaluate the stability of phenological stage predictions obtained using the calendar days method, thermal functions, and photothermal functions. These methods were used to calculate the number of days, accumulated temperature, and accumulated photothermal units from sowing to flowering and from flowering to maturity. Results showed that thermal functions produced the most stable predictions, with the lowest average coefficient of variation (CV) being 8.37%. The thermal functions were further categorized as empirical linear, empirical nonlinear, and process-based. Within each category, the functions with the lowest average CVs were growing degree days (GDD_8,34; 9.12%), thermal leaf unit (GTI; 7.74%), and agricultural production system simulator (APSIM; 8.26%), respectively. Among them, GTI had the lowest CV, indicating its superior stability in predicting maize phenological stages. These results provide a basis for selecting thermal models in maize phenology research and can support improved decision-making in crop scheduling and management. Full article

Background/Objectives: Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by inflammation of the synovium. The inflammation accelerates the development and progression of atherosclerosis, a key phenomenon in the onset of cardiovascular diseases. The aim of this review was to synthetize the traditional and RA-specific cardiovascular risk (CVR) factors and the CVR assessment guidelines in RA patients. Methods: We performed a PubMed search using specific keywords. We synthetized the main findings. Results: Although the risk factors are the traditional ones, with certain particularities, the mechanisms that lead to cardiovascular disease are distinguished. In RA, the “lipid paradox” occurs: low levels of total cholesterol and low-density lipoprotein (LDL)-cholesterol, and high levels of high-density lipoprotein (HDL)-cholesterol. Despite this phenomenon, patients have an elevated risk of cardiovascular events. This is due to inflammation, which increases cholesterol catabolism and interferes with the anti-oxidant properties of HDL-cholesterol. There is a significant association between serum C-reactive protein (CRP) value and cardiovascular risk: each 20 mg/L increase in CRP causes a 1% increase in cardiovascular risk. The evaluation of the CVR through standard matrices undervalues the risk in patients with RA. Various approaches have been suggested to improve the accuracy of cardiovascular risk appraisal: from multiplying standard scores, including specific biomarkers, to modifying the impact of certain parameters in risk calculation. Conclusions: RA inflammatory and autoimmune mechanisms increase the cardiovascular morbidity and mortality in this group of patients. Therefore, this category of patients requires a proper cardiovascular (CV) evaluation. Carotid ultrasound ensures a better classification of RA patients, especially women, in the cardiovascular risk categories. Full article

Landslide is one of the most damaging natural hazards, causing extensive damage to the infrastructure and threatening human life. Although advances have been made in landslide susceptibility assessment by objective explainable machine learning, the interpretability robustness of traditional single landslide susceptibility model is still low. The proposed interpretable hybrid model in this study overcomes these challenges and aims to enhance the stability of landslide susceptibility interpretability. The model integrates three base machine learning models—LightGBM, XGBoost, and Random Forest—using a heterogeneous category strategy, thereby enhancing the robustness of model interpretability. The hybrid model is interpreted using SHAP (Shapley Additive Explanations) values, which quantify feature contributions. A 10-fold cross-validation with the coefficient of variation (CV) metric reveals that the hybrid model outperforms individual base models in terms of interpretive robustness, yielding a lower CV value of 0.175 compared to 0.208 for LightGBM, 0.240 for XGBoost, and 0.207 for the Random Forest model. Although predictive accuracy remains comparable to the baseline models, the hybrid model provides more stable and reliable interpretability results for landslide susceptibility. It identifies the slope, elevation, and LS factor as the three most important factors for landslide susceptibility in Xi’an city. Furthermore, the quantitative nonlinear relationships between these predisposing factors and susceptibility were identified, providing empowering knowledge for the landslides risk prevention and urban planning in the regions vulnerable to landslides. Full article

Background: This single-center retrospective observational study reviewed data from 2305 persons examined for coronary artery calcium (CAC) with non-contrast-enhanced cardiac CT. Other cardiac structures, including chamber volumes, were evaluated besides the CAC scoring. We proposed a novel body size indexing measure that may outperform common indices for quantifying total heart volume (THV). Methods: This index is the sum of height and the difference between height (unitless) and body surface area (unitless), [h+(h-BSA)], and if the (h-BSA) equals “zero”, it is a feature of the “standard human”. Results: We found that, in subjects with a low cardiovascular (CV) risk, the THV normalized for the novel index was simply a function of BW gain, being the highest in obese. If high-CV-risk features (hypertension, diabetes) were present, the measured THV was larger than expected for BW gain, exceeding values observed in low-CV-risk ones. Differences were found to be sex-independent in all BMI categories. Conclusions: Common BSA correction hides these differences and makes the prognostication of CV risk error-introducing. The indexation we proposed might help distinguish the effects of body weight gain from the ones resulting from the presence of certain cardiovascular diseases. Full article

Background: In the era of personalized medicine, tools for risk stratification after cardiovascular interventions are crucial to reduce mortality and morbidity, especially in the aging population. Biomarker-based approaches, in particular, have gained significant importance. Mid-regional pro-adrenomedullin (MR-proADM) represents an easily assessable biomarker that mirrors cardiac function and fibrosis. Therefore, we aimed to investigate the prognostic potential of MR-proADM in patients undergoing elective cardiac surgery. Methods: Patients undergoing elective cardiac bypass and/or valve surgery were prospectively enrolled between May 2013 and August 2018. The primary endpoint was the composite of hospitalization for heart failure (HHF) or cardiovascular (CV) mortality. Results: In total, 500 patients (146 female [29.2%]; median age 69.8 years (IQR 60.6–75.5 years) were included. Individuals were stratified into risk categories based on their MR-proADM values (Low Risk ≤ 0.63 nmol/L, Intermediate Risk > 0.63 and ≤0.84, High Risk > 0.84). A significant increase in 5-year event rates for HHF/CV mortality in patients in the high-risk category (Low Risk 8.6% vs. High Risk 37.7%, p < 0.001) was observed. MR-pro ADM showed an independent association with HHF/ CV mortality (adjusted HR of 3.43, 95% CI 1.83–6.42; p < 0.001 comparing the High-Risk group to the Low-Risk group). Conclusions: MR-pro ADM was found to be a strong and independent predictor for HHF/CV mortality in patients undergoing elective cardiac surgery. Considering a personalized diagnostic and prognostic work-up, a standardized preoperative evaluation of MR-proADM levels might help to identify patients at risk for major adverse events and early re-hospitalization. Full article

Background/Objectives: In heart failure (HF) with reduced ejection fraction (HFrEF), the early diagnosis and proper treatment of comorbidities (CMs) are of fundamental relevance. Our aim was to assess the prevalence of CMs among real-world patients requiring hospitalisation for HFrEF and to investigate the effect of CMs on the implementation of guideline-directed medical therapy (GDMT) and on all-cause mortality (ACM). Methods: The data of a consecutive HFrEF patient cohort hospitalised for HF between 2021 and 2024 were analysed retrospectively. Sixteen CMs (6 CV and 10 non-CV) were considered. Patients were divided into three categories: 0–3 vs. 4–6 vs. ≥7 CMs. GDMT at discharge and ACM were compared among CM categories. The predictors of 1-year ACM were also evaluated. Results: From the 388 patients (male: 76%, age: 61 [50–70] years; NT-proBNP: 5286 [2570–9923] pg/mL; ≥2 cardiovascular–kidney–metabolic disease overlap: 46%), a large proportion received GDMT (RASi: 91%; βB: 85%; MRA: 95%; SGLT2i: 59%; triple therapy [TT: RASi+βB+MRA]: 82%; quadruple therapy [QT: TT + SGLT2i]: 54%) at discharge. Multimorbidity was accompanied with a (p < 0.05) lower application ratio of RASi (96% vs. 92% vs. 85%; 0–3 vs. 4–6 vs. ≥7 CMs) and βB therapy (94% vs. 85% vs. 78%), while MRA (99% vs. 94% vs. 94%) and SGTL2i use (61% vs. 59% vs. 57%) did not differ (p > 0.05). Patients with multimorbidity were less likely to be treated with TT (93% vs. 82% vs. 73%, p = 0.001), while no difference was detected in the implementation of QT (56% vs. 54% vs. 50%, p = 0.685). The 1-year ACM of patients with an increased burden of CMs was higher (9% vs. 13% vs. 25%, p = 0.003). The risk of 1-year ACM was favourably affected by the use of TT/QT and less severe left ventricular systolic dysfunction, while having ≥5 CMs had an unfavourable impact on prognosis. Conclusions: According to our real-world analysis, HFrEF patients with an increased burden of CMs can expect a less favourable outcome. However, modern GDMT can even be applied in this patient population, resulting in a significantly improved prognosis. Thus, clinicians should insist on the early, conscious implementation of a prognosis-modifying drug regime in multimorbid HF patients as well. Full article

Background: Accumulating evidence from clinical trials, large registries, and meta-analyses of population studies shows that increased Blood Pressure Variability (BPV) is predictive of Cardiovascular (CV) outcomes, independently of the average Blood Pressure (BP) values. One of the mechanisms explaining the relationship between BPV and target organ damage is the inflammatory response. The Systemic Immune Inflammation Index (SII), which relies on peripheral blood cell counts, including platelets, neutrophils, and lymphocytes, has emerged as a predictor of prognosis and outcomes in various diseases. The aim of this study was to investigate the association of the SII with Ambulatory Blood Pressure Variability (ABPV) in newly diagnosed hypertensive patients. Methods: This study was designed as a cross-sectional observational study. A total of 1606 consecutive newly diagnosed Hypertension (HT) patients were included in the study. The population was evaluated across 3 different categories according to HT grades (5 groups), eligibility for antihypertensive therapy (2 groups) and ABPV levels (2 groups). Results: Significant differences were observed between ABPV groups in terms of Neutrophil to Lymphocyte ratio, Platelet to Lymphocyte ratio, glucose, SII, high-sensitive CRP, HT grade, Inter-Ventricular Septum, Posterior Wall thickness, and Left Ventricular Mass (p < 0.005). There was a significant relationship between SII and ABPV (r: 0.619, p < 0.05). At the cutoff value of 580.49, SII had 77% sensitivity and 71% specificity for ABPV > 14 (AUC: 0.788). Conclusions: SII may assist in developing an early treatment approach to minimize complications in patients with high ABPV who are at a higher risk of CV events. Full article

Introduction: Type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) share a bidirectional link, and the innovative antidiabetic molecules GLP-1 Ras and SGLT-2is have proven cardiac and renal benefits, respectively. This study aimed to evaluate CV risk categories, along with lipid-lowering and antidiabetic treatments, in patients with T2DM from a real-life setting in Romania. Material and Methods: A cross-sectional evaluation was conducted on 405 consecutively admitted patients with T2DM in an ambulatory setting, assessing them according to the 2019 ESC/EAS guidelines for moderate, high, and very high CV risk categories. Results: The average age of the group was 58 ± 9.96 years, with 38.5% being female. The mean HbA1C level was 7.2 ± 1.7%. Comorbidities included HBP in 88.1% of patients, with a mean SBP and DBP of 133.2 ± 13.7 mm Hg and 79.9 ± 9 mm Hg, respectively, and obesity in 66.41%, with a mean BMI of 33 ± 6.33 kg/m². The mean LDL-C levels varied by CV risk category: 90.1 ± 34.22 mg/dL in very high risk, 98.63 ± 33.26 mg/dL in high risk, and 105 ± 37.1 mg/dL in moderate risk. Prescribed treatments included metformin (100%), statins (77.5%), GLP-1 Ras (29.4%), and SGLT-2is (29.4%). Conclusions: In Romania, patients with T2DM often achieve glycemic control targets but fail to meet composite targets that include glycemic, BP, and lipid control. Additionally, few patients benefit from innovative glucose-lowering therapies with proven cardio-renal benefits or from statins. Full article