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 < 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 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

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

A paradigm shift to enhance patient safety in healthcare, a resilience engineering approach: scoping review of available evidence

Risk management has a number of accident causation models that have been used for a number of years. Dr. Nancy Leveson (2002) has developed a new model of accidents using a systems approach. The new model is called Systems Theoretic Accident Modeling and Processes (STAMP). It incorporates three basic components: constraints, hierarchical levels of control, and process loops. In this model, accidents are examined in terms of why the controls that were in place did not prevent or detect the hazard(s) and why these controls were not adequate to enforcing the system safety constraints. A STAMP accident analysis is presented and its usefulness in evaluating system safety is compared to more traditional risk models. STAMP is applied to a case study in the oil and gas industry to demonstrate both practicality and validity of the model. The model successfully identified both direct and indirect violations against existing safety constraints that resulted in the accident at each level of the organization

La sindrome metabolica: un modello clinico-terapeutico di endocrinologia di genere

Numerosi componenti contribuiscono all’insorgenza e alla progressione della sindrome metabolica e questi fattori differiscono significativamente fra i due sessi. È importante chiarire quali siano i meccanismi molecolari sottostanti a queste differenze correlate al sesso. È inoltre necessario condurre studi che includano anche variabili genere-specifiche (socioculturali, ambientali, ecc.), al fine di identificare criteri specifici per la gestione clinica e farmacologica del paziente

Postpartum depression screening in mothers and fathers at well-child visits: a feasibility study within the NASCITA cohort

Objective To assess the feasibility of the family paediatrician’s (FP) role in identifying the signs of postpartum depression in parents in time to guarantee child well-being.Design, setting and participants Data for this observational prospective study were collected within the NASCITA (NAscere e creSCere in ITAlia) cohort. During the first visit, paediatricians collected sociodemographic data regarding the parents and information about their health status, the pregnancy and the delivery. Whooley questions were administered during the first and second visits (scheduled 60–90 days after childbirth). Moreover, on the third visit (5–7 months after childbirth) the FP was asked to answer ‘yes’ or ‘no’ to a question on the parental postpartum depression, based on his knowledge and on the acquired information.Results In 2203 couples who completed the assessment, 529 mothers (19.9%), 141 fathers (6.3%) and 110 (5%) couples reported any depressive symptomatology. Of these, 141 mothers (5.3% of the total sample) and 18 fathers (0.8% of the total sample) were classified as ‘likely depressed’. An association was found between maternal postnatal depressive symptoms and having a diagnosed psychiatric disorder during pregnancy (OR 9.49, 95% CI: 3.20 to 28.17), not exclusively breastfeeding at hospital discharge (OR 1.76, 95% CI: 1.19 to 2.61) and the presence of child sleeping disorders at 3 (OR 2.46, 95% CI: 1.41 to 4.28) and 6 months (OR 2.18, 95% CI: 1.37 to 3.47). Another significant predictor of postpartum depression was being primiparous (OR 1.99, 95% CI: 1.31 to 3.02). Concerning the fathers, a significant association was reported only between likely depressed fathers and child sleeping disorders at 3 months (OR 7.64, 95% CI: 2.92 to 19.97). Moreover, having a likely depressed partner was strongly associated with depressive symptoms in fathers (OR 85.53, 95% CI 26.83 to 272.69).Conclusions The findings of this study support the feasibility of an active screening programme for parental postnatal depression during well-child visits as an integral part of postpartum care.Trial registration number NCT03894566; Pre-results

National, longitudinal NASCITA birth cohort study: prevalence of overweight at 12 months of age in children born healthy

Objective To estimate the prevalence of overweight at 12 months in an Italian birth cohort and to identify factors related to an increased likelihood of being overweight.Methods The Italian NASCITA birth cohort was analysed. Infants were classified as underweight (<5th), normal weight (5–84th) and overweight (≥85th centile) at 12 months of age according to the WHO percentiles of body mass index (BMI) and the prevalence of overweight was estimated. To test the association between the chance of being overweight and parental and newborn characteristics, and infant feeding, healthy newborns (no preterm/low birth weight and with no malformations), with appropriate-for-gestational-age birth weight were selected, and univariate and multivariate analyses were performed.Results The prevalence of overweight was 23.5% (95% CI 22.2% to 24.8%) in all cohort members with 12-month data (N=4270), and 23.1% in the appropriate-for-gestational age subsample (N=2835).A big infant appetite (OR 3.92, 95% CI 2.40 to 6.40) and living in southern Italy (OR 1.58, 95% CI 1.29 to 1.94) were the main variables associated with a greater likelihood of being overweight. Breastfeeding practice did not influence the chance of being overweight, but was associated with an increase (exclusive breast feeding for at least 6 months) or a decrease (breast feeding for at least 12 months) in BMI z score at 12 months.Conclusions The sociodemographic factors (eg, area of residence, maternal employment status) seem to be the most relevant determinants influencing the chance of being overweight at 12 months. Early interventions, with particular attention to vulnerable families, may be helpful in preventing childhood and adult obesity