Publications by authors named "C Represas-Represas"
Objective: This study aims to employ machine learning (ML) tools to cluster patients hospitalized for acute exacerbations of chronic obstructive pulmonary disease (COPD) based on their diverse social and clinical characteristics. This clustering is intended to facilitate the subsequent analysis of differences in clinical outcomes.
Methods: We analysed a cohort of patients with severe COPD from two Pulmonary Departments in north-western Spain using the k-prototypes algorithm, incorporating demographic, clinical, and social data.
Article Synopsis
- * Conducted on 137 patients, it found that 30.8% had suboptimal PIF upon admission, with female sex and lower forced expiratory volume in the 1st second (FEV1) as independent risk factors.
- * By discharge, the rate of suboptimal PIF decreased to 17%, and overall PIF without resistance improved as patients moved towards a stable phase.
Introduction: Although a reduction in admissions for pathologies other than SARS-CoV-2 has been reported during the pandemic, there are hardly any specific studies in relation to COPD. The objective of this study was to analyse differences in the profile of those admitted for AEPOC and their prognosis during this period.
Methods: Prospective study (SocioEPOC validation cohort) conducted in two hospitals.
Introduction: There is still uncertainty about which aspects of cigarette smoking influence the risk of Chronic Obstructive Pulmonary Disease (COPD). The aim of this study was to estimate the COPD risk as related to duration of use, intensity of use, lifetime tobacco consumption, age of smoking initiation and years of abstinence.
Methods: We conducted an analytical cross-sectional study based on data from the EPISCAN-II study (n=9092).
Introduction: Chronic Obstructive Pulmonary Disease (COPD) is the third cause of death worldwide. While tobacco smoking is a key risk factor, COPD also occurs in never-smokers (NS). However, available evidence on risk factors, clinical characteristics, and natural history of the disease in NS is scarce.
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