Suspected heparin-induced thrombocytopaenia in pulmonary thromboendarterectomy: retrospective cohort.

Objectives: Heparin is given for anticoagulation during and after pulmonary thromboendarterectomy for chronic thromboembolic pulmonary hypertension. Our objective was to add to the limited data available on the incidence, management and outcomes of suspected heparin-induced thrombocytopaenia after pulmonary thromboendarterectomy for chronic thromboembolic pulmonary hypertension.

Methods: This retrospective single-centre study included consecutive patients with suspected heparin-induced thrombocytopaenia after pulmonary thromboendarterectomy done in 2005-2018.

Machine Learning Models in Sepsis Outcome Prediction for ICU Patients: Integrating Routine Laboratory Tests-A Systematic Review.

Sepsis presents significant diagnostic and prognostic challenges, and traditional scoring systems, such as SOFA and APACHE, show limitations in predictive accuracy. Machine learning (ML)-based predictive survival models can support risk assessment and treatment decision-making in the intensive care unit (ICU) by accounting for the numerous and complex factors that influence the outcome in the septic patient. A systematic literature review of studies published from 2014 to 2024 was conducted using the PubMed database.

Surviving COVID-19 and Battling Fibrosis: A Retrospective Cohort Study Across Three Pandemic Waves.

Background/objectives: We aimed to characterize the fibrosis following COVID-19 pneumonia, using quantitative analysis, after three months and subsequently, after two years of patients' release from the hospital, and to identify the risk factors for pulmonary fibrosis.

Methods: We performed a retrospective, observational cohort study on 420 patients with severe forms of COVID-19. For all patients, we registered demographic, inflammatory and biochemical parameters, complete blood count and D-dimers; all patients underwent three computed tomography scans (at admittance, at 3 months and at 2 years).

The Impact of HIV on Early Brain Aging-A Pathophysiological (Re)View.

: This review aims to provide a comprehensive understanding of how HIV alters normal aging trajectories in the brain, presenting the HIV-related molecular mechanisms and pathophysiological pathways involved in brain aging. The review explores the roles of inflammation, oxidative stress, and viral persistence in the brain, highlighting how these factors contribute to neuronal damage and cognitive impairment and accelerate normal brain aging. Additionally, it also addresses the impact of antiretroviral therapy on brain aging and the biological markers associated with its occurrence.