Abstract Coronavirus disease 2019 (COVID-19) could predispose to both venous and
arterial thromboembolism, in an exaggerated immune response to the virus, especially in …

PURPOSE Recent studies have suggested that machine learning (ML) could be used to
predict venous thromboembolism (VTE) in cancer patients with high accuracy. METHODS …

Objectives Several reports had observed a high risk of pulmonary embolism (PE) in patients
with coronavirus disease 2019 (COVID‐19), most of them in the intensive care unit …

Background Type 2 diabetes mellitus (T2DM) is strongly related to the in-hospital and short-
term prognosis in patients with cardiovascular diseases needing surgical or invasive …

(1) Background: Our aim was to analyze the incidence, procedures, and in-hospital
outcomes of myocardial infarction (MI) in Spain (2016–2018) according to sex.(2) Methods …

Background The burden of hepatitis C virus (HCV) infection among marginalized people in
Spain is high, despite the fact that HCV prevalence has decreased in recent years. We …

Background and objective Clinical prediction models determine the pre-test probability of
pulmonary embolism (PE) and assess the need for tests for these patients. Coronavirus …

Background To examine trends in the incidence, characteristics, and in-hospital outcomes of
heart failure (HF) hospitalizations from 2001 to 2015 in Spain. Methods Using the Spanish …

Hospitalized patients with COVID-19 are at increased risk of thrombosis, acute respiratory
distress syndrome and death. The optimal dosage of thromboprophylaxis is unknown. The …

Methods: Non-intensive care unit hospitalized COVID-19 patients who underwent a
computed tomography pulmonary angiogram (CTPA) for suspected PT were included in the …