Introduction: The performance of seven cardiovascular (CV) risk algorithms is evaluated in a multicentric cohort of ankylosing spondylitis (AS) patients. Performance and calibration of traditional CV predictors have been compared with the novel paradigm of machine learning (ML). Methods: A retrospective analysis of prospectively collected data from an AS cohort has been performed. The primary outcome was the first CV event. The discriminatory ability of the algorithms was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), which is like the concordancestatistic (c-statistic). Three ML techniques were considered to calculate the CV risk: support vector machine (SVM), random forest (RF), and k-nearest neighbor (KNN). Results: Of 133 AS patients enrolled, 18 had a CV event. c-statistic scores of 0.

Systemic sclerosis (SSc) is a rare autoimmune inflammatory rheumatic disease. The prevalence of SSc ranges from 7 to 700 cases per million worldwide. Due to multiple organ involvement and constant inflammatory state, this group of patients presents an increased risk of infectious diseases. This paper aimed to gather the up-to-date evidence on vaccination strategies for patients with SSc and to be a useful tool for the prevention and management of infectious diseases. The authors conducted a scoping review in which each paragraph presents data on a specific vaccine’s safety, immunogenicity, and efficacy. The work deals with the following topics: SARS-CoV-2, seasonal influenza, S. pneumoniae, HAV, HBV, HZV, N. meningitidis, H. influenzae, HPV, and diphtheria-tetanus-pertussis.

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Background and objectiveSystemic small vessel vasculitides carry an increased risk of acute arterial and venous thromboembolic events (AVTE); however, this risk has not been systematically explored in Eosinophilic Granulomatosis with Polyangiitis (EGPA).This study assessed the occurrence and main risk factors of AVTE among EGPA patients as compared to the general community from the population-based Bruneck cohort.MethodsWe conducted a retrospective multicenter cohort study on 573 EGPA patients. Clinical and serological data were collected at diagnosis. Occurrence of AVTE and time to the first AVTE after EGPA diagnosis were recorded. Age-standardized event rate (SER) of AVTE as compared to the reference cohort was assessed. Cox regression was applied to identify AVTE predictors.Results129 EGPA patients (22.5%) had AVTE, considered as potentially life-threatening in 55.8%. Seventy patients experienced an AVTE prior to diagnosis (of whom 58.6% in the two years before diagnosis) and 75 following EGPA diagnosis, of whom 56% in the two subsequent years. The SER of AVTE as compared to the reference cohort was 2.10 (95% CI 1.67-2.63). This risk was particularly increased in patients with history of AVTE and with a Birmingham Vasculitis Activity Score ≥20 at diagnosis. Patients receiving immunosuppression within 2 months of diagnosis were at lower risk, while antiplatelet or anticoagulant treatment did not confer measurable benefit.ConclusionEGPA is associated with AVTE in approximately one quarter of patients, particularly around diagnosis. Immunosuppressants seemed to exert a protective effect, while anticoagulant and antiplatelet agents did not.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causal agent of coronavirus disease 2019 (COVID-19), in which coagulation abnormalities and endothelial dysfunction play a key pathogenic role. Tissue factor (TF) expression is triggered by endothelial dysfunction. Activated factor VII-antithrombin (FVIIa-AT) complex reflects indirectly FVIIa-TF interaction and has been proposed as a potential biomarker of prothrombotic diathesis. FVIIa-AT plasma concentration was measured in 40 patients (30 males and 10 females; 64.8 ± 12.3 years) admitted with SARS-CoV-2 pneumonia during the first pandemic wave in Italy. Two sex- and age-matched cohorts without COVID-19, with or without signs of systemic inflammation, were used to compare FVIIa-AT data. The FVIIa-AT plasma levels in COVID-19 patients were higher than those in non-COVID-19 subjects, either with or without inflammation, while no difference was observed among non-COVID-19 subjects. The association between COVID-19 and FVIIa-AT levels remained significant after adjustment for sex, age, C-reactive protein, renal function, fibrinogen, prothrombin time and activated partial thromboplastin time. Our results indicate that SARS-CoV-2 infection, at least during the first pandemic wave, was characterized by high FVIIa-AT levels, which may suggest an enhanced FVIIa-TF interaction in COVID-19, potentially consistent with SARS-CoV-2-induced endotheliopathy.