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. METHODS: Using big-data analytics and artificial intelligence through the SAVANA Manager clinical platform, we analysed clinical data from patients with asthma from January 1 to May 10, 2020. RESULTS: Out of 71 182 patients with asthma, 1006 (1.41%) suffered from COVID-19. Compared to asthmatic individuals without COVID-19, patients with asthma and COVID-19 were significantly older (55 versus 42 years), predominantly female (66% versus 59%), smoked more frequently and had higher prevalence of hypertension, dyslipidaemias, diabetes and obesity. Allergy-related factors such as rhinitis and eczema were less common in asthmatic patients with COVID-19 (p<0.001). In addition, higher prevalence of these comorbidities was observed in patients with COVID-19 who required hospital admission. The use of inhaled corticosteroids (ICS) was lower in patients who required hospitalisation due to COVID-19, as compared to non-hospitalised patients (48.3% versus 61.5%; OR 0.58, 95% CI 0.44-0.77). Although patients treated with biologics (n=865; 1.21%) showed increased severity and more comorbidities at the ear, nose and throat level, COVID-19-related hospitalisations in these patients were relatively low (0.23%). CONCLUSION: Patients with asthma and COVID-19 were older and at increased risk due to comorbidity-related factors. ICS and biologics are generally safe and may be associated with a protective effect against severe COVID-19 infection.

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). Ultrasound findings and clinical characteristics were recorded. RESULTS: All patients showed US involvement in at least 1 area (mean ± SD, 8 ± 3.5). The total LS was 15.3 ± 8.1, without differences between left and right lungs. Most affected regions were the lower region (95.2%) and the posterior region (73.8%). The total LS showed a strong correlation (r = -0.765) with the oxygen pressure-to-fraction of inspired oxygen ratio; by lung region, those with a higher correlation were the LS of the anterior region (r = -0.823) and the LS of the upper region (r = -0.731). In total, 22.2% of patients required noninvasive respiratory support (NIRS). A multivariate analysis showed that the anterior region LS, adjusted for age and sex, was significant (odds ratio, 2.159; 95% confidence interval, 1.309-3.561) for the risk of requiring NIRS. An anterior region LS of 4 or higher and a total LS of 19 or higher had similar characteristics to predict the need for NIRS. CONCLUSIONS: Ultrasound involvement in COVID-19 pneumonia is bilateral and heterogeneous. Most affected regions are the posterior and the lower regions. The anterior region has prognostic value because its involvement strongly correlates with the risk of requiring NIRS, and an anterior region LS of 4 or higher has high sensitivity and specificity for predicting the need for NIRS.

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. Determining these factors using a well-defined population can increase our understanding of the real-world epidemiology of the disease. METHODS: We used a combination of classic epidemiological methods, natural language processing (NLP), and machine learning (for predictive modeling) to analyze the electronic health records (EHRs) of patients with COVID-19. We explored the unstructured free text in the EHRs within the Servicio de Salud de Castilla-La Mancha (SESCAM) Health Care Network (Castilla-La Mancha, Spain) from the entire population with available EHRs (1,364,924 patients) from January 1 to March 29, 2020. We extracted related clinical information regarding diagnosis, progression, and outcome for all COVID-19 cases. RESULTS: A total of 10,504 patients with a clinical or polymerase chain reaction-confirmed diagnosis of COVID-19 were identified; 5519 (52.5%) were male, with a mean age of 58.2 years (SD 19.7). Upon admission, the most common symptoms were cough, fever, and dyspnea; however, all three symptoms occurred in fewer than half of the cases. Overall, 6.1% (83/1353) of hospitalized patients required ICU admission. Using a machine-learning, data-driven algorithm, we identified that a combination of age, fever, and tachypnea was the most parsimonious predictor of ICU admission; patients younger than 56 years, without tachypnea, and temperature <39 degrees Celsius (or >39 ºC without respiratory crackles) were not admitted to the ICU. In contrast, patients with COVID-19 aged 40 to 79 years were likely to be admitted to the ICU if they had tachypnea and delayed their visit to the emergency department after being seen in primary care. CONCLUSIONS: Our results show that a combination of easily obtainable clinical variables (age, fever, and tachypnea with or without respiratory crackles) predicts whether patients with COVID-19 will require ICU admission.

Th-2 signature in chronic airway diseases: towards the extinction of asthma-COPD overlap syndrome?

We aimed to describe the differences and similarities between patients with chronic obstructive airway disease classified on the basis of classical diagnostic labels (asthma, chronic obstructive pulmonary disease (COPD), or asthma-COPD overlap (ACOS)) or according to the underlying inflammatory pattern (Th-2 signature, either Th-2-high or Th-2-low).We performed a cross-sectional study of patients aged ≥40 years and with a post-bronchodilator forced expiratory volume in 1 s to forced vital capacity ratio ≤0.7 with a previous diagnosis of asthma (non-smoking asthmatics (NSA)), COPD or ACOS, the latter including both smoking asthmatics (SA) and patients with eosinophilic COPD (COPD-e). Clinical, functional and inflammatory parameters (blood eosinophil count, IgE and exhaled nitric oxide fraction (FeNO)) were compared between groups. Th-2 signature was defined by a blood eosinophil count ≥300 cells·µL-1 and/or a sputum eosinophil count ≥3%.Overall, 292 patients were included in the study: 89 with COPD, 94 NSA and 109 with ACOS (44 SA and 65 with COPD-e). No differences in symptoms or exacerbation rate were found between the three groups. With regards the underlying inflammatory pattern, 94 patients (32.2%) were characterised as Th-2-high and 198 (67.8%) as Th-2-low. The Th-2 signature was found in 49% of NSA, 3.3% of patients with COPD, 30% of SA and 49.3% of patients with COPD-e. This classification yielded significant differences in demographic, functional and inflammatory characteristics.We conclude that a classification based upon the inflammatory profile, irrespective of the taxonomy, provides a more clear distinction of patients with chronic obstructive airway disease.

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. Methods: Case-control study design that included patients who had a CT scan available of the entire thorax. In total, 176 patients with emphysema (cases) and 100 control subjects without emphysema were analyzed. Results: The prevalence of variants was higher among cases (25.6%; 45/176) than controls (22%; 22/100), although the difference was not statistically significant (P=0.504) when analyzed globally. In the control group, all the variants detected were MS. Excluding this variant, statistically significant differences were observed in the remaining variants (MZ, SS and SZ). Only 18% of the controls (all MS) presented values below our limit of normality, and all had values very close to the reference value (90 mg/dL). In contrast, 76% of patients with the other variants presented pathological levels. In a logistic regression model, both smoking and a non-severe reduction in AAT (60 to 90 mg/dL) increased the probability of emphysema. Conclusion: Our study confirms an association between certain variants in the alpha-1 antitrypsin gene that do not cause severe deficiency and the presence of pulmonary emphysema. This association with variants that are associated with reductions in serum AAT values is statistically significant and independent of smoking habit.

Triple Therapy and Clinical Control in B+ COPD Patients: A Pragmatic, Prospective, Randomized Trial.

INTRODUCTION: Treatment with LABA/LAMA is recommended in GOLD B patients. We hypothesized that triple therapy (LABA/LAMA/ICS) will be superior to LABA/LAMA in achieving and maintaining clinical control (CC), a composite outcome that considers both impact and disease stability in a subgroup of GOLD B patients (here termed GOLD B+ patients) characterized by: (1) remaining symptomatic (CAT≥10) despite regular LABA/LAMA therapy; (2) having suffered one moderate exacerbation in the previous year; and (3) having blood eosinophil counts (BEC) ≥150cells/µL. METHODS: The ANTES B+ study is a prospective, multicenter, open label, randomized, pragmatic, controlled trial designed to test this hypothesis. It will randomize 1028 B+ patients to continue with their usual LABA/LAMA combination prescribed by their attending physician or to begin fluticasone furoate (FF) 92µg/umeclidinium (UMEC) 55µg/vilanterol (VI) 22µg in a single inhaler q.d. for 12 months. The primary efficacy outcome will be the level of CC achieved. Secondary outcomes include the clinical important deterioration index (CID), annual rate of exacerbations, and FEV1. Exploratory objectives include the interaction of BEC and smoking status, all-cause mortality and proportion of patients on LABA/LAMA arm that switch therapy arms. Safety analysis include adverse events and incidence of pneumonia. RESULTS: The first patient was recruited on February 29, 2024; results are expected in the first quarter of 2026. CONCLUSIONS: The ANTES B+ study is the first to: (1) explore the efficacy and safety of triple therapy in a population of B+ COPD patients and (2) use a composite index (CC) as the primary result of a COPD trial.

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). METHODS: We conducted an observational, retrospective, non-interventional study between January 2012 and December 2020 based on data from the Castilla-La Mancha Regional Health System in Spain. We used the Savana Manager 3.0 artificial intelligence-enabled system to collect information from electronic medical records. RESULTS: 31765 subjects presented a diagnosis of HZ. Mean age was 64.5 years (95%CI 64.3-64.7), and 58.2% were women. The prevalence of HZ showed an increasing trend in patients over the age of 50. A risk analysis adjusted for sex and comorbidities in COPD, asthma, lung cancer and OSA presented a higher risk of developing HZ in the first three (OR 1.16 [95%CI 1.13-1.19], 1.67 [1.63-1.71], 1.68 [1.60-1.76], respectively), which further increased in all three when associated with comorbidities. Regarding postherpetic neuralgia, an increased risk was only observed related to COPD and lung cancer (OR 1.24 [95%CI 1.23-1.25], 1.14 [1.13-1.16], respectively), further increasing when associated with comorbidities. CONCLUSIONS: In a standard clinical practice setting, the most prevalent respiratory diseases (asthma, COPD and lung cancer) are related to a higher risk of HZ and PHN. These data are fundamental to assess the potential impact of vaccination in this population.

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 3.0 artificial intelligence platform was used to collect information from electronic medical records by applying natural language processing. RESULTS: Our study includes 897 subjects whose diagnosis was compatible with idiopathic pulmonary fibrosis; 64.8% were men, with a mean age of 72.9 years (95% CI 71.9-73.8), and 35.2% were women, with a mean age of 76.8 years (95% CI 75.5-78). Patients who had a family history of IPF (98 patients; 12%) were younger and predominantly female (53.1%). Regarding treatment, 45% of patients received antifibrotic therapy. Patients who had undergone lung biopsy, chest CT, or bronchoscopy were younger than the patient population in whom these studies were not completed. CONCLUSIONS: This study has used artificial intelligence techniques to analyze a large population over a 9-year period and determine the situation of IPF in standard clinical practice by identifying the patient clinical profile, use of diagnostic tests and therapeutic management.

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. The index date was the diagnosis of COPD and patients were followed until lost to follow-up, death or end of the study, whichever occurred first. Patients were classified by patient pattern (incident or prevalent), type and severity of exacerbations, and treatments prescribed. Demographic and clinical characteristics were evaluated, together with the incidence of exacerbations, comorbidities, and the use of HRU, during the baseline (12 months before the index date) and the follow-up periods by incident/prevalent and treatment prescribed. Mortality rate was also measured. Results: The study included 34,557 patients with a mean age of 70 years (standard deviation: 12). The most frequent comorbidities were diabetes, osteoporosis, and anxiety. Most patients received inhaled corticosteroids (ICS) with long-acting beta agonists (LABA), or long-acting muscarinic agonists (LAMA), followed by LABA with LAMA. Incident patients (N=8229; 23.8%) had fewer exacerbations than prevalent patients (N=26328; 76.2%), 0.3 vs 1.2 exacerbations per 100 patient-years. All treatment patterns present a substantial disease burden, which seems to increase with the evolution of the disease (ie moving from initial treatments to combination therapies). The overall mortality rate was 40.2 deaths/1000 patient-years. General practitioner visits and tests were the HRU most frequently required. The frequency and severity of exacerbations positively correlated with the use of HRU. Conclusion: Despite receiving treatment, patients with COPD suffer a considerable burden mainly due to exacerbations and comorbidities, which require a substantial use of HRU.

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. The study population included patients who were diagnosed with COPD between 2011 and 2021. A total of 73,901 patients had a diagnosis of COPD. The mean age was 73 years (95% CI: 72.9-73.1), and 56,763 were men (76.8%). We observed a specific prevalence of obesity, heart failure, depression, and hiatal hernia in women (p < 0.001), and ischemic heart disease and obstructive sleep apnea (OSA) in men (p < 0.001). In the analysis by age ranges, a progressive increase in cardiovascular risk factors was observed with age. In conclusion, in a real-life setting, COPD is a disease that primarily affects older subjects and frequently presents with comorbidities that are decisive in the evolutionary course of the disease.

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 analysis was conducted from January 2015 to December 2020. RESULTS: A total of 2592 patients were diagnosed with pulmonary tuberculosis; 64.6% were males, and the mean age was 53.5 years (95%CI 53.0-54.0). In 2020, pulmonary tuberculosis diagnoses dropped by 28% compared to 2019. In total, 62 (14.2%) patients were diagnosed with COVID-19 and pulmonary tuberculosis coinfection in 2020, with a mean age of 52.3 years (95%CI 48.3-56.2). The main symptoms in these patients were dyspnea (27.4%) and cough (35.5%), although their comorbidities were no greater than patients with isolated TB. The female sex was more frequently affected, representing 53.4% of this patient subgroup. CONCLUSIONS: During the first year of the COVID-19 pandemic, a decrease was observed in the incidence of pulmonary tuberculosis. Women presented a significantly higher risk for pulmonary tuberculosis and COVID-19 coinfection, although the symptoms were not more severe than patients diagnosed with pulmonary tuberculosis alone.

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. To this aim, a literature search was conducted, between 2002 to the present. After carrying out a systematic review, the following results were provided: thoracic echocardiography after surgery found improvements in terms of cardiac function and structure; blood pressure (BP) measurement, verified a tendency to higher BP values in the OSA pediatric population, which improved after surgery; different biomarkers of CVR, were increased in OSA patients and improved after treatment and finally; some studies found endothelial dysfunction in pediatric OSA, a measurement of vascular system function, was reversible with adenotonsillectomy. Increases in BP parameters, biological markers related to CVR and alterations in cardiac function structure, have been reported in pediatric patients with OSA. At least, some of these parameters would be reversible after adenotonsillectomy, reflecting a possible reduction in CVR.

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. Patient characteristics and exacerbations were described in terms of ICS use among the overall cohort, and among those with spirometry confirmed COPD (post-bronchodilator forced expiratory volume in 1 second [FEV1]/forced vital capacity [FVC] ratio <70%). Multivariable logistic regression was used to identify factors associated with ICS use. RESULTS: A total of 901 patients were included, of which 47.9% (n = 432) were treated with ICS. A total of 240 patients (26.6%) experienced moderate/severe exacerbations in the prior year, while 309 (34.3%) during the previous two years. History of asthma totaled 11.6% (n = 105). The most frequent phenotype was non-exacerbator (51.6%), and the proportion of patient with moderate or severe exacerbations was significantly higher among ICS treated patients compared to non-treated: 37.5% versus 16.6% during the previous year (p < 0.001), and 46.8% versus 22.8% during the previous 2-years (p < 0.001), respectively. Patient characteristics were similar among spirometry confirmed patients and the overall population. Factors significantly associated with ICS use were a history of asthma (OR = 4.39, 95% CI: 2.67-7.26), the presence of moderate or severe exacerbations in the last year (OR = 2.52, 95% CI: 1.81-3.49), followed by higher mMRC and higher CAT score. CONCLUSION: Nearly half of patients in primary care in Spain are treated with ICS, despite most of them being non-exacerbators. History of asthma, exacerbations, and worse dyspnea and CAT scores are associated with ICS use.

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 3.72%) registered from 1 January 2011 to 1 March 2020 in the database of the public healthcare service (SESCAM) of Castilla-La Mancha (Spain) (n=1 863 759 subjects). We used natural language processing (Savana Manager version 3.0) to identify those who were hospitalised during this period for any cause, including ECOPD. Results: During the study 26 453 COPD patients (38.1%) were hospitalised (at least once). Main diagnoses at discharge were respiratory infection (51%), heart failure (38%) or pneumonia (19%). ECOPD was the main diagnosis at discharge (or hospital death) in 8331 patients (12.0% of the entire COPD population and 31.5% of those hospitalised). In-hospital ECOPD-related mortality rate was 3.11%. These patients were hospitalised 2.36 times per patient, with a mean hospital stay of 6.1 days. Heart failure was the most frequent comorbidity in patients hospitalised because of ECOPD (52.6%). Conclusions: This analysis shows that, in a real-life setting, ECOPD hospitalisations are prevalent, complex (particularly in relation to heart failure), repetitive and associated with significant in-hospital mortality.

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. We explored the potential benefits of the antioxidant, anti-inflammatory and anti-thrombotic drug N-acetylcysteine (NAC) administered orally in high doses (600 mg every 8 h), added to standard of care in COVID-19 patients by using the free text information contained in their electronic health records (EHRs).Out of 19,208 patients with a diagnosis of COVID-19 hospitalized, we studied 2071 (10.8%) users of oral NAC at high doses. COVID-19 patients treated with NAC were older, predominantly male, and with more comorbidities such as hypertension, dyslipidemia, diabetes, and COPD when compared with those not on NAC (all p < 0.05). Despite greater baseline risk, use of NAC in COVID-19 patients was associated with significantly lower mortality (OR 0.56; 95%CI 0.47-0.67), a finding that remained significant in a multivariate analysis adjusting by baseline characteristics and concomitant use of corticosteroids. There were no significant differences with the use of NAC on the mean duration of hospitalization, admission to the intensive care unit or use of invasive mechanical ventilation. The observed association signaling to better relevant outcomes in COVID-19 patients treated with NAC at high doses should be further explored in other settings and populations and in randomized controlled trials.

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. Utilities were estimated using Spanish observational data. Direct healthcare costs (2019 €) were informed by Spanish public sources. A 3% discount rate for costs and benefits was applied. The time horizon and treatment duration were 3 years (base case). One-way sensitivity, scenario, and probabilistic sensitivity analyses were performed. Results: FF/UMEC/VI treatment resulted in fewer exacerbations over 3 years (4.130 vs 3.648) versus FF/VI, with a mean (95% confidence interval [CI]) incremental cost of €444 (€149, €713) per patient and benefit of 0.064 (0.053, 0.076) quality-adjusted life years (QALYs), resulting in an incremental cost-effectiveness ratio (ICER) of €6887 per QALY gained. FF/UMEC/VI was a dominant treatment strategy versus UMEC/VI, resulting in fewer exacerbations (4.130 vs 3.360), with a mean (95% CI) incremental cost of -€450 (-€844, -€149) and benefit of 0.054 (0.043, 0.064) QALYs. FF/UMEC/VI was cost-effective versus FF/VI and UMEC/VI across all analyses. Conclusion: FF/UMEC/VI was predicted to be a cost-effective treatment option versus FF/VI or UMEC/VI in symptomatic COPD patients at risk of exacerbations in Spain, across all scenarios and sensitivity analyses.

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. The variables used for building the clusters included general data, comorbidity, sleep symptoms, anthropometric data, physical exam and sleep study results. RESULTS: Four clusters were identified: (1) young male without comorbidity with moderate apnea and otorhinolaryngological malformations; (2) middle-aged male with very severe OSA with comorbidity without cardiovascular disease; (3) female with mood disorder; and (4) symptomatic male with established cardiovascular disease and severe OSA. CONCLUSIONS: The characterization of these four clusters in OSA can be decisive when identifying groups of patients who share a special risk or common therapeutic strategies, orienting us toward personalized medicine and facilitating the design of future clinical trials.

Clinical Management of COPD in a Real-World Setting. A Big Data Analysis. / Manejo clínico de la EPOC en situación de vida real. Análisis a partir de big data.

OBJECTIVE: The aim of this study was to evaluate the quality of diagnosis and treatment of COPD using Big Data methodology on the Savana Manager 2.1 clinical platform. MATERIALS AND METHODS: A total of 59,369 patients with a diagnosis of COPD were included from a population of 1,219,749 adults over 40 years of age. RESULTS: In total, 78% were men. Spirometry data were available for only 26,453 (43.5%) subjects. Disease severity was classified in 18,172 patients: 4,396 mild, 7,100 moderate, and 6,676 severe, although only 27%, 34%, and 28%, respectively, presented obstructive spirometry. The clinical management of COPD is mainly the responsibility of the primary care and pulmonology departments, while internal medicine and, to a lesser extent, geriatrics also participate. Drug treatment was based on bronchodilators and inhaled corticosteroids (ICS). A marked decline in the use of long-acting beta-2 agonists (LABA) in monotherapy and a slight reduction in ICS/LABA combinations, associated with a LAMA in 74% of cases, was observed. All-cause in-hospital mortality among the overall population was 5.6% compared to 1% of the general population older than 40 years. In total, 35% were admitted to hospital, with an average stay of 6.6 days and a rate of hospital mortality in this group of 10.74%. DISCUSSION: This study identifies the main features of an unselected COPD population and the major errors made in the management of the disease.