Possible predicative role of electrical risk score on transcatheter aortic valve replacement outcomes in older patients. preliminary data

Background:Transcatheter aortic valve replacement (TAVR) is an effective procedure capable to change the natural history of the degenerative aortic valve stenosis. Despite the TAVR, the patients with advanced valve disease and severe myocardial damage (low flow, gradient and ejection fraction)show high mortality level. Aim of this study was toevaluate the predicative power of a noninvasive and inexpensive test obtained by means of a simple standard 12-leads electrocardiogram,known as the Electrical Risk Score (ERS). Methods: ERS was composed by seven simple ECG markers: heart rate (>75 bpm); QRS duration (>110 ms), left ventricular hypertrophy (Sokolow-Lyon criteria), delayed QRS transition zone (≥ V4), frontal QRS-T angle (>90°), long QTBazett (>450 ms for men and >460 in women) or JTBazett(330 ms for men and > 340 ms for women);long T peak to T end interval (Tp-e)( >89 ms). An ERS ≥ 4was considered high risk for all-cause or cardiovascular mortality.We calculated retrospectively the pre-procedure ERS in 40 TAVR patients after one year of follow-up. Results: In the follow up the all-cause and cardiovascular mortality were respectively 25% and 15%.None of survivors reported ERS ≥ 4,moreover, the ERS was the strongest predictor of all-cause (odd ratio 3.73, 95% CI: 1.44-9.66, p<0.05) or cardiovascular (odd ratio 3.95, 95% CI: 1.09-14.27, p<0.05) mortality.ROC curves showed that ERS had the widest significant sensitivity-specificity area under the curve (auc) predicting all-cause (auc: 0.855, p<0.05) or cardiovascular mortality (auc: 0.908, p<0.05). Conclusions:In this pivotal study, ERS resulted an useful tool to stratify the risk of mortality in one-year follow-up TAVR patients. Obviously, it is necessary to confirm these data in large prospective studies

Discrete model analysis of the critical current density measurements in superconducting thin films by a single coil inductive method

The critical current density of a superconducting film can be easily determined by an inductive and contactless method. Driving a sinusoidal current in a single coil placed in front of a superconducting sample, a non zero third harmonic voltage V_3 is induced in it when the sample goes beyond the Bean critical state. The onset of V_3 marks the value of current beyond which the sample response to the magnetic induction is no more linear. To take into account, in a realistic way, the magnetic coupling between the film and the coil we have developed a discrete model of the inducing and induced currents distribution. In the framework of this model the magnetic field profile on the sample surface and the coefficient linking the current flowing in the coil and the critical current density J_C of superconducting thin films is evaluated. The numerical results are checked measuring J_C of several thin films of YBa_2Cu_3O_(7-d) of known superconducting properties, used as a control material.Comment: to be published in Journal of Applied Physic

A Contribution to UHS – Overview of Different Approaches on Well Assessment in Depleted Reservoirs

Hydrogen is a carbon-free energy carrier, and it will become one of the main energy carriers in the future sustainable energy system. In an energy system based on renewable energy resources hydrogen will be the energy carrier that can be cost-efficiently transported and stored to deliver renewable energy from remote resource areas, at the right time and place to the energy demand. Regarding the production of hydrogen from renewable energy sources, the problem of hydrogen storage arises. Underground hydrogen storage in salt caverns, deep aquifers, and depleted reservoirs for strategic or seasonal purposes is being considered today. H2 storage in depleted reservoirs is surely the solution that maximizes the environmental and economic benefits, as it would allow the reuse of existing wells and infrastructures after their exploitation lifetime, minimizing emissions and investment/operating costs. In this type of storage, well integrity plays a significant role. The wells must be able to withstand extreme conditions and various loads during the entire service life. Considering the small size of the molecule of H2 and its strong diffusion, the impact of hydrogen on steel materials, elastomers, and cement shall be deeply evaluated, to avoid corrosion phenomena or stresses led by a combination of H2 at different temperatures and pressures.The paper aims to assess the hydrogen impact on the different materials of wells (metals, elastomers, and cement), with a particular focus on finding technical gaps in materials installed in already existing wells. This scope of work will be carried out through the analysis of data available in the literature and technical discussions with some of the Oil & Gas main Service Contractors. At present, API steel alloys normally deployed in Underground Gas Storage facilities are not tested specifically for the storage of hydrogen or hydrogen-enriched natural gas mixtures.As per literature analysis, streams with H2 concentration less than 0.5% look not to be critical for standard well equipment. On the other hand, when percentages of hydrogen get higher than 10%, only a few studies are available and it looks that the H2 effect cannot be considered negligible, leading to the consideration that well components in direct contact with the fluid shall be hydrogen resistant. However, due to the lack of available data, ad hoc tests are recommended

How the First Year of the COVID-19 Pandemic Impacted Patients’ Hospital Admission and Care in the Vascular Surgery Divisions of the Southern Regions of the Italian Peninsula

Background: To investigate the effects of the COVID-19 lockdowns on the vasculopathic population. Methods: The Divisions of Vascular Surgery of the southern Italian peninsula joined this multicenter retrospective study. Each received a 13-point questionnaire investigating the hospitalization rate of vascular patients in the first 11 months of the COVID-19 pandemic and in the preceding 11 months. Results: 27 out of 29 Centers were enrolled. April-December 2020 (7092 patients) vs. 2019 (9161 patients): post-EVAR surveillance, hospitalization for Rutherford category 3 peripheral arterial disease, and asymptomatic carotid stenosis revascularization significantly decreased (1484 (16.2%) vs. 1014 (14.3%), p = 0.0009; 1401 (15.29%) vs. 959 (13.52%), p = 0.0006; and 1558 (17.01%) vs. 934 (13.17%), p &lt; 0.0001, respectively), while admissions for revascularization or major amputations for chronic limb-threatening ischemia and urgent revascularization for symptomatic carotid stenosis significantly increased (1204 (16.98%) vs. 1245 (13.59%), p &lt; 0.0001; 355 (5.01%) vs. 358 (3.91%), p = 0.0007; and 153 (2.16%) vs. 140 (1.53%), p = 0.0009, respectively). Conclusions: The suspension of elective procedures during the COVID-19 pandemic caused a significant reduction in post-EVAR surveillance, and in the hospitalization of asymptomatic carotid stenosis revascularization and Rutherford 3 peripheral arterial disease. Consequentially, we observed a significant increase in admissions for urgent revascularization for symptomatic carotid stenosis, as well as for revascularization or major amputations for chronic limb-threatening ischemia

A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease

Background: Mechanisms of myocardial ischemia in obstructive and non-obstructive coronary artery disease (CAD), and the interplay between clinical, functional, biological and psycho-social features, are still far to be fully elucidated. Objectives: To develop a machine-learning (ML) model for the supervised prediction of obstructive versus non-obstructive CAD. Methods: From the EVA study, we analysed adults hospitalized for IHD undergoing conventional coronary angiography (CCA). Non-obstructive CAD was defined by a stenosis &lt; 50% in one or more vessels. Baseline clinical and psycho-socio-cultural characteristics were used for computing a Rockwood and Mitnitski frailty index, and a gender score according to GENESIS-PRAXY methodology. Serum concentration of inflammatory cytokines was measured with a multiplex flow cytometry assay. Through an XGBoost classifier combined with an explainable artificial intelligence tool (SHAP), we identified the most influential features in discriminating obstructive versus non-obstructive CAD. Results: Among the overall EVA cohort (n = 509), 311 individuals (mean age 67 ± 11&nbsp;years, 38% females; 67% obstructive CAD) with complete data were analysed. The ML-based model (83% accuracy and 87% precision) showed that while obstructive CAD was associated with higher frailty index, older age and a cytokine signature characterized by IL-1β, IL-12p70 and IL-33, non-obstructive CAD was associated with a higher gender score (i.e., social characteristics traditionally ascribed to women) and with a cytokine signature characterized by IL-18, IL-8, IL-23. Conclusions: Integrating clinical, biological, and psycho-social features, we have optimized a sex- and gender-unbiased model that discriminates obstructive and non-obstructive CAD. Further mechanistic studies will shed light on the biological plausibility of these associations. Clinical trial registration: NCT02737982

Frequency of left ventricular hypertrophy in non-valvular atrial fibrillation

Left ventricular hypertrophy (LVH) is significantly related to adverse clinical outcomes in patients at high risk of cardiovascular events. In patients with atrial fibrillation (AF), data on LVH, that is, prevalence and determinants, are inconsistent mainly because of different definitions and heterogeneity of study populations. We determined echocardiographic-based LVH prevalence and clinical factors independently associated with its development in a prospective cohort of patients with non-valvular (NV) AF. From the "Atrial Fibrillation Registry for Ankle-brachial Index Prevalence Assessment: Collaborative Italian Study" (ARAPACIS) population, 1,184 patients with NVAF (mean age 72 \ub1 11 years; 56% men) with complete data to define LVH were selected. ARAPACIS is a multicenter, observational, prospective, longitudinal on-going study designed to estimate prevalence of peripheral artery disease in patients with NVAF. We found a high prevalence of LVH (52%) in patients with NVAF. Compared to those without LVH, patients with AF with LVH were older and had a higher prevalence of hypertension, diabetes, and previous myocardial infarction (MI). A higher prevalence of ankle-brachial index 640.90 was seen in patients with LVH (22 vs 17%, p = 0.0392). Patients with LVH were at significantly higher thromboembolic risk, with CHA2DS2-VASc 652 seen in 93% of LVH and in 73% of patients without LVH (p &lt;0.05). Women with LVH had a higher prevalence of concentric hypertrophy than men (46% vs 29%, p = 0.0003). Logistic regression analysis demonstrated that female gender (odds ratio [OR] 2.80, p &lt;0.0001), age (OR 1.03 per year, p &lt;0.001), hypertension (OR 2.30, p &lt;0.001), diabetes (OR 1.62, p = 0.004), and previous MI (OR 1.96, p = 0.001) were independently associated with LVH. In conclusion, patients with NVAF have a high prevalence of LVH, which is related to female gender, older age, hypertension, and previous MI. These patients are at high thromboembolic risk and deserve a holistic approach to cardiovascular prevention

Association of kidney disease measures with risk of renal function worsening in patients with type 1 diabetes

Background: Albuminuria has been classically considered a marker of kidney damage progression in diabetic patients and it is routinely assessed to monitor kidney function. However, the role of a mild GFR reduction on the development of stage 653 CKD has been less explored in type 1 diabetes mellitus (T1DM) patients. Aim of the present study was to evaluate the prognostic role of kidney disease measures, namely albuminuria and reduced GFR, on the development of stage 653 CKD in a large cohort of patients affected by T1DM. Methods: A total of 4284 patients affected by T1DM followed-up at 76 diabetes centers participating to the Italian Association of Clinical Diabetologists (Associazione Medici Diabetologi, AMD) initiative constitutes the study population. Urinary albumin excretion (ACR) and estimated GFR (eGFR) were retrieved and analyzed. The incidence of stage 653 CKD (eGFR &lt; 60 mL/min/1.73 m2) or eGFR reduction &gt; 30% from baseline was evaluated. Results: The mean estimated GFR was 98 \ub1 17 mL/min/1.73m2 and the proportion of patients with albuminuria was 15.3% (n = 654) at baseline. About 8% (n = 337) of patients developed one of the two renal endpoints during the 4-year follow-up period. Age, albuminuria (micro or macro) and baseline eGFR &lt; 90 ml/min/m2 were independent risk factors for stage 653 CKD and renal function worsening. When compared to patients with eGFR &gt; 90 ml/min/1.73m2 and normoalbuminuria, those with albuminuria at baseline had a 1.69 greater risk of reaching stage 3 CKD, while patients with mild eGFR reduction (i.e. eGFR between 90 and 60 mL/min/1.73 m2) show a 3.81 greater risk that rose to 8.24 for those patients with albuminuria and mild eGFR reduction at baseline. Conclusions: Albuminuria and eGFR reduction represent independent risk factors for incident stage 653 CKD in T1DM patients. The simultaneous occurrence of reduced eGFR and albuminuria have a synergistic effect on renal function worsening

The Sex-Specific Detrimental Effect of Diabetes and Gender-Related Factors on Pre-admission Medication Adherence Among Patients Hospitalized for Ischemic Heart Disease: Insights From EVA Study

Background: Sex and gender-related factors have been under-investigated as relevant determinants of health outcomes across non-communicable chronic diseases. Poor medication adherence results in adverse clinical outcomes and sex differences have been reported among patients at high cardiovascular risk, such as diabetics. The effect of diabetes and gender-related factors on medication adherence among women and men at high risk for ischemic heart disease (IHD) has not yet been fully investigated.Aim: To explore the role of sex, gender-related factors, and diabetes in pre-admission medication adherence among patients hospitalized for IHD.Materials and Methods: Data were obtained from the Endocrine Vascular disease Approach (EVA) (ClinicalTrials.gov Identifier: NCT02737982), a prospective cohort of patients admitted for IHD. We selected patients with baseline information regarding the presence of diabetes, cardiovascular risk factors, and gender-related variables (i.e., gender identity, gender role, gender relations, institutionalized gender). Our primary outcome was the proportion of pre-admission medication adherence defined through a self-reported questionnaire. We performed a sex-stratified analysis of clinical and gender-related factors associated with pre-admission medication adherence.Results: Two-hundred eighty patients admitted for IHD (35% women, mean age 70), were included. Around one-fourth of the patients were low-adherent to therapy before hospitalization, regardless of sex. Low-adherent patients were more likely diabetic (40%) and employed (40%). Sex-stratified analysis showed that low-adherent men were more likely to be employed (58 vs. 33%) and not primary earners (73 vs. 54%), with more masculine traits of personality, as compared with medium-high adherent men. Interestingly, women reporting medication low-adherence were similar for clinical and gender-related factors to those with medium-high adherence, except for diabetes (42 vs. 20%, p = 0.004). In a multivariate adjusted model only employed status was associated with poor medication adherence (OR 0.55, 95%CI 0.31–0.97). However, in the sex-stratified analysis, diabetes was independently associated with medication adherence only in women (OR 0.36; 95%CI 0.13–0.96), whereas a higher masculine BSRI was the only factor associated with medication adherence in men (OR 0.59, 95%CI 0.35–0.99).Conclusion: Pre-admission medication adherence is common in patients hospitalized for IHD, regardless of sex. However, patient-related factors such as diabetes, employment, and personality traits are associated with adherence in a sex-specific manner

Social Love and the Critical Potential of People. When the Social Reality Challenges the Sociological Imagination

This book unveils the concept of social love as a kind of “Karst River” that flows through the history of sociology, reassessing it as a form criticism by people in everyday life. Adopting an interdisciplinary perspective, this book offers both theoretical and empirical reflections on social love. It shows that love is not only central to the human experience, but that it can also help to interpret and intervene in social problems such as climate change, poverty, xenophobia and the (post- )Covid crisis, recognising peopleas actors in social change. It explores the idea of love as a key element in the promotion of solidarity and recognition in today’s plural and unequal societies. Based on empirical research on social love conducted through both qualitative and quantitative methods, especially in Europe and Latin America, this book explores the social dimension of love. Providing overviews of key questions and studies on current issues, the book is an essential reference and resource for researchers, students, social workers and professionals in social sciences, social philosophy, anthropology, social psychology, sociology of emotions and postmodern literature