Artificial Intelligence Applied to Forced Spirometry in Primary Care.

Introduction: This study aims to create an artificial intelligence (AI) based machine learning (ML) model capable of predicting a spirometric obstructive pattern using variables with the highest predictive power derived from an active case-finding program for COPD in primary care.

Material And Methods: A total of 1190 smokers, aged 30-80 years old with no prior history of respiratory disease, underwent spirometry with bronchodilation. The sample was analyzed using AI tools.

Descriptive study of a cohort of COVID-19 hospitalized patients in Spain.

Background: Several descriptive cohort studies of patients affected by COVID-19 have been published.

Objective: To describe the characteristics of patients with SARS-CoV-2 infection who were admitted to Hospital Universitario la Plana, Castellón, Spain.

Methods: Retrospective, observational cohort study that included 18-year-old or older patients who were consecutively admitted with SARS-CoV2 confirmed infection.