Alpha-1 Antitrypsin Gene Variants in Patients without Severe Deficiency Diagnosed with Pulmonary Emphysema on Chest CT.

Introduction: Although pulmonary involvement due to alpha-1 antitrypsin (AAT) deficiency has been widely described, most studies focus on the genotypes causing severe deficiency (<60 mg/dL).

Objective: The aim of this study was to analyze the prevalence of the different AAT gene variants that do not cause severe deficiency in patients with pulmonary emphysema diagnosed by thoracic computed tomography (CT). Furthermore, we assessed the risk associated with a non-severe decrease in AAT values in the pathogenesis of emphysema.

Impact of the COVID-19 Pandemic on the Epidemiological Situation of Pulmonary Tuberculosis-Using Natural Language Processing.

Background: We aimed to analyze the impact of the COVID-19 pandemic on pulmonary tuberculosis (TB) using artificial intelligence. To do so, we compared the real-life situation during the pandemic with the pre-2020 situation.

Methods: This non-interventional, retrospective, observational study applied natural language processing to the electronic health records of the Castilla-La Mancha region of Spain.

The Clinical Profile of Patients with COPD Is Conditioned by Age.

In recent years, many studies have analyzed the importance of integrating time, or aging, into the equation that relates genetics and the environment to the development and origin of COPD. Under conditions of daily clinical practice, our study attempts to identify the differences in the clinical profile of patients with COPD according to age and the impact on the global burden of the disease. This study is non-interventional and observational, using artificial intelligence and data captured from electronic medical records.

Chronic Respiratory Diseases as a Risk Factor for Herpes Zoster Infection.

Introduction: Herpes zoster (HZ) is a condition that results from the reactivation of the varicella zoster virus (VZV). Several diseases have been reported to increase the risk of developing HZ and postherpetic neuralgia (PHN). The objective of this study is to analyze the prevalence and risk factors for HZ and PHN in the most frequent chronic respiratory diseases, which are chronic obstructive pulmonary disease (COPD), asthma, lung cancer and obstructive sleep apnea (OSA).

Impact of obstructive sleep apnea in cardiovascular risk in the pediatric population: A systematic review.

While the association of obstructive sleep apnea (OSA) with an increased cardiovascular risk (CVR) in the adult population is well known, there is insufficient evidence to affirm something similar in the pediatric population. On the other hand, adenotonsillectomy has been shown to be an effective treatment. Our objective was to evaluate the association of sleep respiratory disorders in children with increased CVR and the impact of adenotonsillectomy in the literature.

Impact of COPD Exacerbations and Burden of Disease in Spain: AVOIDEX Study.

Purpose: Chronic obstructive pulmonary disease (COPD) is characterized by high morbidity and mortality, with a considerable consumption of healthcare resources (HRU). This study aims to obtain real world evidence regarding the consequences of COPD exacerbations and to provide updated data on the burden of this disease and its treatment.

Patients And Methods: A retrospective study in seven Spanish regions was conducted among COPD patients diagnosed between 1/01/2010 and 31/12/2017.

Clinical Profile of Patients with Idiopathic Pulmonary Fibrosis in Real Life.

Objective: The objective of this study is to define the real-life clinical profile and therapeutic management of patients with idiopathic pulmonary fibrosis using artificial intelligence.

Methods: We have conducted an observational, retrospective, non-interventional study using data from the Castilla-La Mancha Regional Healthcare Service (SESCAM) in Spain between January 2012 and December 2020. The Savana Manager 3.

Cost-Effectiveness of Once-Daily Single-Inhaler COPD Triple Therapy in Spain: IMPACT Trial.

Purpose: Given between-country differences in healthcare systems, treatment costs, and disease management guidelines, country-specific cost-effectiveness analyses are important. This study evaluated the cost-effectiveness of once-daily fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI) versus FF/VI and UMEC/VI among patients with symptomatic chronic obstructive pulmonary disease (COPD) at risk of exacerbations from a Spanish healthcare system perspective.

Patients And Methods: Baseline data and treatment effects from the IMPACT trial were populated into the validated GALAXY COPD progression model.

Real-life burden of hospitalisations due to COPD exacerbations in Spain.

Background: Patients with chronic obstructive pulmonary disease (COPD) often suffer episodes of exacerbation of symptoms (ECOPD) that may eventually require hospitalisation due to several, often overlapping, causes. We aimed to analyse the characteristics of patients hospitalised because of ECOPD in a real-life setting using a "big data" approach.

Methods: The study population included all patients over 40 years old with a diagnosis of COPD (n=69 359; prevalence 3.

Inhaled Corticosteroid Use Among COPD Patients in Primary Care in Spain.

Purpose: Inhaled corticosteroids (ICS) are frequently used to treat chronic obstructive pulmonary disease (COPD) outside the current recommendations. Our aim was to describe ICS use in COPD patients and to identify factors associated with ICS use among COPD patients treated within primary care in Spain.

Patients And Methods: This was a cross-sectional, non-interventional and multicenter study of patients with COPD treated in primary care.

Use of N-Acetylcysteine at high doses as an oral treatment for patients hospitalized with COVID-19.

Infection by SARS-CoV-2 causing coronavirus disease 2019 (COVID-19) can be associated with serious and life-threatening conditions, including acute respiratory distress syndrome (ARDS). Severity and mortality have been related to a cytokine storm, an imbalance of oxidative stress, and a pro-thrombotic state.We conducted an observational retrospective cohort study from a community-based large population of hospitalized COVID-19 PCR + patients admitted from March 01, 2020, to January 24, 2021, with integrated primary to tertiary care information in Castilla la Mancha, Spain.

Biologics may have a beneficial effect in asthma patients with COVID-19.

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Defining the Heterogeneity of Sleep Apnea Syndrome: A Cluster Analysis With Implications for Patient Management.

Introduction: Obstructive sleep apnea (OSA) is a complex pathology with heterogeneity that has not been fully characterized to date. Our objective is to identify groups of patients with common clinical characteristics through cluster analysis that could predict patient prognosis, the impact of comorbidities and/or the response to a common treatment.

Methods: Cluster analysis was performed using the hierarchical cluster method in 2025 patients in the apnea-HUGU cohort.

Evidence of Gender Differences in the Diagnosis and Management of Coronavirus Disease 2019 Patients: An Analysis of Electronic Health Records Using Natural Language Processing and Machine Learning.

The impact of sex and gender in the incidence and severity of coronavirus disease 2019 (COVID-19) remains controversial. Here, we aim to describe the characteristics of COVID-19 patients at disease onset, with special focus on the diagnosis and management of female patients with COVID-19. We explored the unstructured free text in the electronic health records (EHRs) within the SESCAM Healthcare Network (Castilla La-Mancha, Spain).

The impact of COVID-19 on patients with asthma.

Background: An association between the severity of coronavirus disease 2019 (COVID-19) and the presence of certain chronic conditions has been suggested. However, unlike influenza and other viruses, the disease burden of COVID-19 in patients with asthma has been less evident.

Objective: To understand the impact of COVID-19 in patients with asthma.

Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing.

Background: Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic are still unknown. Although big data analytics and artificial intelligence are widely used in the realms of health and medicine, researchers are only beginning to use these tools to explore the clinical characteristics and predictive factors of patients with COVID-19.

Objective: Our primary objectives are to describe the clinical characteristics and determine the factors that predict intensive care unit (ICU) admission of patients with COVID-19.

Characteristics and Prognosis of COVID-19 in Patients with COPD.

Patients with Chronic Obstructive Pulmonary Disease (COPD) have a higher prevalence of coronary ischemia and other factors that put them at risk for COVID-19-related complications. We aimed to explore the impact of COVID-19 in a large population-based sample of patients with COPD in Castilla-La Mancha, Spain. We analyzed clinical data in electronic health records from 1 January to 10 May 2020 by using Natural Language Processing through the SAVANA clinical platform.

[Respiratory Disease in the Era of Big Data].

One of the key elements of medicine in the second decade of the 21st century is the exponential growth of patient-produced information, due not only to the transition to the digitization of medical records, but also to the emergence of new sources of information and the capacity for analysis and interpretation of existing ones. The amount of medical information is expected to double every 2 years, which means that there will be 50 times more information available in 2020 than in 2011. In this setting, these large amounts of data or «big data» must be properly managed to implement new initiatives that improve the diagnosis, treatment, and prognosis of patients on the path to personalized medicine.

Findings and Prognostic Value of Lung Ultrasound in COVID-19 Pneumonia.

Objectives: The aim of this study was to systematically describe the findings of lung ultrasound (US) in patients with coronavirus 2019 (COVID-19) pneumonia and to analyze its prognostic value.

Methods: Lung US examinations were performed in 63 patients with COVID-19 pneumonia admitted to a university hospital. Lung involvement was evaluated on a 4-point scale with a 12-area pulmonary division, obtaining a lung score (LS).