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

Pulmonary Artery Stump Thrombosis: To Treat or Not to Treat? The Question Is Still Open. Description of a Case and Review of the Literature

Pulmonary artery stump thrombosis (PAST) represents a possible complication after lung surgery. We report the case of a 59-year-old man who presented with dyspnoea about 4 years after right pneumonectomy due to squamous cell lung cancer. A CT-scan showed the presence of pulmonary artery stump thrombosis. Although there was no evidence of pulmonary embolism, given the clinical features and radiological shape of the thrombus, anticoagulation treatment with low-molecular-weight heparin was started with improvement of symptoms. The patient was discharged on anticoagulant treatment and a pulmonary CT-scan performed 4 months later showed an almost complete resolution of the PAST. Pathophysiological mechanisms of PAST are still unknown, although several hypotheses have been proposed. However, the decision to treat PAST with anticoagulants is still controversial. A review of literature will be provided in order to discuss risk factors, possible etiologies and to highlight clinical and radiological characteristics that could suggest to treat this condition, in particular when there is an increased risk of complications

Prevalence and risk factors for hospital-acquired anemia in internal medicine patients: learning from the "less is more" perspective

Hospital-acquired anemia is defined as a new-onset anemia in hospitalized patients who have a normal hemoglobin level at admission. Its prevalence is unknown and most studies published on this topic have been conducted in intensive care unit patients with limited applicability to less acute settings, such as internal medicine wards. We conducted a retrospective study and enrolled 129 patients who were admitted to an Internal Medicine Unit between October 2021 and February 2022. The median value of phlebotomy during hospitalization was 46 ml (IQR 30-72 ml), whereas the median length of hospital stay was 9 days (IQR 5-13 days). The median value of hemoglobin reduction was -0.63 g/dl (p < 0.001) and the maximum value of drop in hemoglobin value was -2.6 g/dl. All patients who experienced a phlebotomy > 85 ml had a hemoglobin reduction > 0.6 g/dl. 20.9% of patients developed anemia during the hospital stay (7% moderate and 13.9% mild). No cases of severe anemia were observed. The volume of blood drawn during the hospital stay and the Hb value on admission were the only two variables statistically associated with the development of anemia, whereas gender, age, and chronic diseases, such as diabetes, history of cancer, or heart failure, were not. Strategies, such as elimination of unnecessary laboratory tests and the use of smaller tubes for blood collection, are needed to reduce the volume of iatrogenic blood loss and avoid blood wastage occurring during hospitalization in internal medicine patients

Prevalence and clinical relevance of liver dysfunction after thoracic surgery: a retrospective study

Abstract Postoperative elevation of serum aminotransferase or alkaline phosphatase levels after liver and heart surgeries has been widely reported. The prevalence and clinical significance of hypertransaminasemia/liver dysfunction after thoracic surgery remains largely unknown. Significant differences in surgical procedures between thoracic and extra-thoracic surgeries may suggest different risks of liver dysfunction. We retrospectively analyzed data from 224 consecutive patients who underwent thoracic surgery. Liver function tests were recorded the day before surgery, 12 h, 1 day, 5, and 10 days after the surgical procedure. Patients were studied to identify the frequency of hypertransaminasemia and/or hyperbilirubinemia and/or increase of INR levels. 37,5% of patients showed an increase in serum alanine aminotransferase (ALT) level after thoracic surgery, whereas an increase in gamma glutamyl transferase (GGT) serum levels of any grade was observed in 53,6% of patients. Approximately 83% of patients who experienced an increase in the serum GGT or ALT levels showed a grade 1 or 2 change. Operative time was associated with hypertransaminasemia in the univariate and multivariate analyses, whereas the use of metformin was associated with a lower risk of ALT increase

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

CHA2DS2-VASc and R2CHA2DS2-VASc scores predict mortality in high cardiovascular risk population

Background: The CHA(2)DS(2)-VASc score, widely used to estimate cardioembolic risk in patients with atrial fibrillation (AF), appears to be useful also in predicting vascular adverse events and death in different sets of patients without AF. The R(2)CHA(2)DS(2)-VASc score, which includes renal impairment, allows a better prediction of death and thromboembolism in patients without AF. The aims of our study were to assess, in a large sample of patients at high cardiovascular (CV) risk, (i) the correlation between CHA(2)DS(2)-VASc and R(2)CHA(2)DS(2)-VASc with all-cause mortality, and (ii) to compare the performances of CHA(2)DS(2)-VASc and R(2)CHA(2)DS(2)-VASc in predicting all-cause mortality.Methods: In this single-centre prospective observational study, conducted at the Research Hospital 'Casa Sollievo della Sofferenza' between June 2016 and December 2018, 1017 CV patients at high risk of undergoing coronary angiography were enrolled.Results: CHA(2)DS(2)-VASc and R(2)CHA(2)DS(2)-VASc scores significantly associated with all-cause mortality. For each one-point increase in CHA(2)DS(2)-VASc or R(2)CHA(2)DS(2)-VASc scores, mortality increased by almost 1.5-fold. The R(2)CHA(2)DS(2)-VASc score (C-statistic = 0.71; 95% CI = 0.65-76) outperformed the CHA(2)DS(2)-VASc score (C-statistic = 0.66; 95% CI = 0.61-0.71) in predicting 4-year mortality (delta C-statistic = 0.05; 95% CI = 0.02-0.07). The better predictive ability of the R-CHA(2)DS(2)-VASc score was also demonstrated by an IDI = 0.027 (95% CI = 0.021-0.034, p <.00001) and a relative IDI = 62.8% (95% CI = 47.9%-81.3%, p <.00001). The R(2)CHA(2)DS(2)-VASc score correctly reclassified the patients with a NRI = 0.715 (95% = 0.544-0.940, p <.00001).Conclusions: The CHA(2)DS(2)-VASc and R(2)CHA(2)DS(2)-VASc scores are useful predictors of all-cause mortality in subjects at high CV risk, with the R(2)CHA(2)DS(2)-VASc score being the best performer