Synergic Integration of the miRNome, Machine Learning and Bioinformatics for the Identification of Potential Disease-Modifying Agents in Obstructive Sleep Apnea.

Introduction: Understanding the diverse pathogenetic pathways in obstructive sleep apnea (OSA) is crucial for improving outcomes. microRNA (miRNA) profiling is a promising strategy for elucidating these mechanisms.

Objective: To characterize the pathogenetic pathways linked to OSA through the integration of miRNA profiles, machine learning (ML) and bioinformatics.

[Palliative care in interstitial lung disease: A national analysis of access and knowledge of Argentine pulmonologists].

Introduction: Palliative care (PC) is essential in the treatment of patients with interstitial lung diseases (ILD). There is no data on the management of PC by pulmonologists in Argentina for ILD patients. This study aimed to describe the approach to PC in ILD patients in Argentina.

[Neurosarcoidosis: Onset with involvement of multiple neurological sites].

We present the case of a healthy young woman who consulted for left peripheral facial palsy associated with fever, dry cough, dyspnea, and asthenia of two weeks' evolution. Physical examination revealed hypoesthesia in left T6 to T12 dermatomes and bilateral galactorrhea. In the laboratory, she presented negative viral serology, elevated erythrocyte sedimentation rate, antinuclear antibody titers, prolactin and thyroid-stimulating hormone, with positive antiperoxidase antibodies.

Hypoxic burden to guide CPAP treatment allocation in patients with obstructive sleep apnoea: a study of the ISAACC trial.

Background: Hypoxic burden (HB) has emerged as a strong predictor of cardiovascular risk in obstructive sleep apnoea (OSA). We aimed to assess the potential of HB to predict the cardiovascular benefit of treating OSA with continuous positive airway pressure (CPAP).

Methods: This was a analysis of the ISAACC trial (ClinicalTrials.