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).

Prevalence of cancer in patients with hypothyroidism: Analysis using big data tools.

Objective: To evaluate the frequency of different types of cancer in patients diagnosed with hypothyroidism using big data methodology on the Savana Manager platform.

Methods: An observational, retrospective study was carried out using electronic medical record (EMR) data from the Hospital Universitario Puerta de Hierro Majadahonda (Madrid). Information from the EMRs was extracted using artificial intelligence techniques and analysed using the Savana Manager v3.

Hyperthyroidism and cardiovascular disease: an association study using big data analytics.

Background: The cardiovascular (CV) system is profoundly affected by thyroid hormones. Both hypo- and hyperthyroidism can increase the risk of severe CV complications.

Objective: To assess the association of hyperthyroidism with major CV risk factors (CVRFs) and CV diseases (CVDs) using a big data methodology with the Savana Manager platform.

Thyroid carcinoma in elderly people: Characterization using big data tools.

Objective: To determine the clinical-histological data associated comorbidities and the use of health resources of elderly patients with thyroid cancer.

Methods: An observational, retrospective study was carried out using data from the electronic medical record (EMR) of the Hospital Universitario Puerta de Hierro Majadahonda (Madrid, Spain). The information was extracted using artificial intelligence techniques and analysed using the Savana Manager 3.

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.

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.

Severe esophageal injuries caused by accidental button battery ingestion in children.

Introduction: Button batteries represent a low percentage of all foreign bodies swallowed by children and esophageal location is even less frequent. However, these cases are more likely to develop severe injuries. The aim of this essay is to report three cases treated in our institution and review previous reports.

Treatment strategies in the management of severe complications following slide tracheoplasty in children.

Objectives: This study focuses on the different surgical and endoscopical treatment alternatives when dealing with severe complications after slide tracheoplasty (STP).

Methods: Retrospective study of patients with symptomatic congenital tracheal stenosis (CTS) admitted to a single institution, between January 1997 and January 2013, surgically treated by means of STP. The following variables were evaluated: demographics, preoperative tracheal stenosis characteristics, associated anomalies and outcome measures.

[Impact of an educational intervention for promoting handwashing and the rational use of gloves in a hospital].

Objective: To estimate the impact of educational intervention on hand washing and gloves use.

Material And Methods: The educational intervention consisted of a one-hour weekly workshop aimed at doctors and nurses, with a previous questionnaire on hand-washing, a presentation talk on three key points (hand washing, use of gloves, alcohol-based solutions). Adherence to hand washing and use of gloves was re-evaluated 6-9 months after the intervention.