Clinical Management of COPD in a Real-World Setting. A Big Data Analysis

Smokers and risk of hospital death by COVID calculated with SAVANA's natural language processing in the Castilla-La Mancha area

INTRODUCTION

During the COVID pandemic, it was speculated that patients with the virus who were smoking-related might have a lower likelihood of disease exacerbation or death. To assess whether there is an association between smoking and risk of in-hospital mortality, SAVANA's big data and Natural Language Processing (NLP) technology is used.

METHOD

A retrospective, observational, non-interventional cohort study was conducted based on real-life data extracted from medical records throughout Castilla La Mancha using Natural Language Processing and Artificial Intelligence techniques developed by SAVANA. The study covered the entire population of this region with Electronic Medical Records in SESCAM presenting with a diagnosis of COVID from March 1, 2020 to February 28, 2021.

RESULTS

Smokers had a significantly higher percentage of cardiovascular risk factors (hypertension, dyslipidemia and diabetes), COPD, asthma, IDP, IC, CVD, PTE, cancer in general and lung cancer in particular, bronchiectasis, heart failure and a history of pneumonia (p < 0.0001).Former smokers, current smokers and non-smokers have a significant age difference. As for in-hospital deaths, they were more frequent in the case of ex-smokers, followed by smokers and then non-smokers (p < 0.0001).

CONCLUSION

There is an increased risk of dying in hospital in SARS-COV2-infected patients who are active smokers or have smoked in the past.

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.

Prognostic Usefulness of Basic Analytical Data in Chronic Obstructive Pulmonary Disease Exacerbation

Introduction

COPD causes high morbidity and mortality and high health costs. Thus, identifying and analyzing the distinctive and treatable traits seems useful to optimize the management of AEPOC patients. While various biomarkers have been researched, no solid data for systematic use have been made available.

Aim

Assessing the short-term prognostic usefulness of clinical and analytical parameters available in routine clinical practice in COPD exacerbations.

Material and methods

Multicenter prospective observational study conducted between 2016 and 2018. Patients admitted for COPD exacerbation who agreed to participate and signed an informed consent form were included. Prolonged stay, in-hospital mortality or early readmission was considered an unfavorable progression. 30-Day mortality was also analyzed.

Results

615 patients were included. Mean age was 73.9 years (SD 10.6); 86.2% were male. Progression of 357 patients (58%) was considered unfavorable. Mortality at 1 month from discharge was 6.7%. The multivariate analysis shows a relationship between the CRP/Albumin ratio and unfavorable progression (OR 1.008, 95% CI 1.00; 1.01), as well as increased risk of death at 1 month from discharge with elevated urea (OR 1.01, 95% CI 1.005; 1.02) and troponin T (OR 2.21, 95% CI 1.06; 4.62).

Conclusion

Elevated CRP/Albumin, urea and TnT are prognostic indicators of poor short-term outcome in patients admitted for COPD exacerbation. Cardiovascular comorbidity and systemic inflammation could explain these findings.

Application of Artificial Intelligence or machine learning in risk sharing agreements for pharmacotherapy risk management

Applications of Artificial Intelligence in medical informatics solutions risk sharing have social value. At a time of ever-increasing cost for the provision of medicines to citizens, there is a need to restrain the growth of health care costs. The search for computer technologies to stop or slow down the growth of costs acquires a new very important and significant meaning. We discussed the two information technologies in pharmacotherapy and the possibility of combining and sharing them, namely the combination of risk-sharing agreements and Machine Learning, which was made possible by the development of Artificial Intelligence (AI). Neural networks could be used to predict the outcome to reduce the risk factors for treatment. AI-based data processing automation technologies could be also used for risk-sharing agreements automation.

Isolation of Pseudomonas aeruginosa in Stable Chronic Obstructive Pulmonary Disease Patients-Should We Treat It?

Chronic obstructive pulmonary disease (COPD) is one of the most frequent inflammatory diseases of the airways [...].

Development of a predictive model of venous thromboembolism recurrence in anticoagulated cancer patients using machine learning

INTRODUCTION

Patients with cancer and venous thromboembolism (VTE) show a high risk of VTE recurrence during anticoagulant treatment. This study aimed to develop a predictive model to assess the risk of VTE recurrence within 6 months at the moment of primary VTE diagnosis in these patients.

MATERIALS AND METHODS

Using the EHRead® technology, based on Natural Language Processing (NLP) and machine learning (ML), the unstructured data in electronic health records from 9 Spanish hospitals between 2014 and 2018 were extracted. Both clinically- and ML-driven feature selection were performed to identify predictors for VTE recurrence. Logistic regression (LR), decision tree (DT), and random forest (RF) algorithms were used to train different prediction models, which were subsequently validated in a hold-out data set.

RESULTS

A total of 16,407 anticoagulated cancer patients with diagnosis of VTE were identified (54.4 % male and median age 70). Deep vein thrombosis, pulmonary embolism and metastases were observed in 67.2 %, 26.6 %, and 47.7 % of the patients, respectively. During the study follow-up, 11.4 % of the patients developed a recurrent VTE, being more frequent in patients with lung cancer. Feature selection and model training based on ML identified primary pulmonary embolism, deep vein thrombosis, metastasis, adenocarcinoma, hemoglobin and serum creatinine levels, platelet and leukocyte count, family history of VTE, and patients' age as predictors of VTE recurrence within 6 months of VTE diagnosis. The LR model had an AUC-ROC (95 % CI) of 0.66 (0.61, 0.70), the DT of 0.69 (0.65, 0.72) and the RF of 0.68 (0.63, 0.72).

CONCLUSIONS

This is the first ML-based predictive model designed to predict 6-months VTE recurrence in patients with cancer. These results hold great potential to assist clinicians to identify the high-risk patients and improve their clinical management.

Nonpharmacological management of psychological distress in people with COPD

Psychological distress is prevalent in people with COPD and relates to a worse course of disease. It often remains unrecognised and untreated, intensifying the burden on patients, carers and healthcare systems. Nonpharmacological management strategies have been suggested as important elements to manage psychological distress in COPD. Therefore, this review presents instruments for detecting psychological distress in COPD and provides an overview of available nonpharmacological management strategies together with available scientific evidence for their presumed benefits in COPD. Several instruments are available for detecting psychological distress in COPD, including simple questions, questionnaires and clinical diagnostic interviews, but their implementation in clinical practice is limited and heterogeneous. Moreover, various nonpharmacological management options are available for COPD, ranging from specific cognitive behavioural therapy (CBT) to multi-component pulmonary rehabilitation (PR) programmes. These interventions vary substantially in their specific content, intensity and duration across studies. Similarly, available evidence regarding their efficacy varies significantly, with the strongest evidence currently for CBT or PR. Further randomised controlled trials are needed with larger, culturally diverse samples and long-term follow-ups. Moreover, effective nonpharmacological interventions should be implemented more in the clinical routine. Respective barriers for patients, caregivers, clinicians, healthcare systems and research need to be overcome.

SPUR-27 - Psychometric Properties of a Patient-Reported Outcome Measure of Medication Adherence in Chronic Obstructive Pulmonary Disease

PURPOSE

People living with COPD who struggle to take their medicines often experience poorer health outcomes such as exacerbations of symptoms, more frequent and lengthy hospital admissions, and worsening mortality rates. This study aimed to evaluate the psychometric properties of the previously validated SPUR-27 model, a multi-factorial model of medication adherence.

PATIENTS AND METHODS

This cross-sectional study was conducted with 100 adult patients living with COPD in a hospital setting in Southwest London. Medication adherence was assessed using a shortened SPUR model (SPUR-27) against the validated Inhaler Adherence Scale (IAS) as a comparator. In addition, objective medication adherence data, presented as the Medication Possession Ratio (MPR), were derived from patient medical and pharmacy records. The COPD Assessment Tool (CAT) score was used to examine the relationship between medication adherence and COPD symptom severity. Reliability of SPUR-27 was assessed using internal consistency estimates. Exploratory factor analysis, partial confirmatory factor analysis, and maximum likelihood analysis were conducted in conjunction with construct, concurrent, and known-group validity testing to explore the psychometric properties of the SPUR model in this population.

RESULTS

A 7-factor model for SPUR-27 was derived with adequate factor loadings. SPUR (α=0.893) observed strong internal consistency (>0.8). The model was significantly positively correlated with IAS score (p<0.001) as well as MPR (p<0.01). A significant (p<0.01) relationship between poor medication adherence and worsening symptom severity, as defined by the CAT score, was identified for SPUR (χ ² = 8.570) using Chi-Square analysis. Furthermore, SPUR-27 demonstrated early evidence of validity with good incremental fit indices: NFI (0.96), TFI (0.97), and CFI (0.93) were all reported as >0.9 in addition to the RMSEA, which was <0.08 (0.059).

CONCLUSION

SPUR demonstrated strong psychometric properties in patients living with COPD. Further work should look to examine the test-retest reliability of the model and its application in broader sample populations.

Major Adverse Cardiovascular Events in Coronary Type 2 Diabetic Patients: Identification of Associated Factors Using Electronic Health Records and Natural Language Processing

Patients with Type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD) are at high risk of developing major adverse cardiovascular events (MACE). This is a multicenter, retrospective, and observational study performed in Spain aimed to characterize these patients in a real-world setting. Unstructured data from the Electronic Health Records were extracted by EHRead^®, a technology based on Natural Language Processing and machine learning. The association between new MACE and the variables of interest were investigated by univariable and multivariable analyses. From a source population of 2,184,662 patients, we identified 4072 adults diagnosed with T2DM and CAD (62.2% male, mean age 70 ± 11). The main comorbidities observed included arterial hypertension, hyperlipidemia, and obesity, with metformin and statins being the treatments most frequently prescribed. MACE development was associated with multivessel (Hazard Ratio (HR) = 2.49) and single coronary vessel disease (HR = 1.71), transient ischemic attack (HR = 2.01), heart failure (HR = 1.32), insulin treatment (HR = 1.40), and percutaneous coronary intervention (PCI) (HR = 2.27), whilst statins (HR = 0.73) were associated with a lower risk of MACE occurrence. In conclusion, we found six risk factors associated with the development of MACE which were related with cardiovascular diseases and T2DM severity, and treatment with statins was identified as a protective factor for new MACE in this study.

Pulmonologists' Opinion on the Use of Inhaled Corticosteroids in Chronic Obstructive Pulmonary Disease Patients in Spain: A Cross-Sectional Survey

Introduction

Identifying the variables that guide decision-making in relation to the use of inhaled corticosteroids (ICS) can contribute to the appropriate use of these drugs. The objective of this study was to identify the clinical variables that physicians consider most relevant for prescribing or withdrawing ICS in COPD.

Methods

A cross-sectional survey was conducted in Spain from November 2020 to May 2021. Therapeutic decisions on the use of ICS in 11 hypothetical COPD patient profiles were collected using an online survey answered by specialists with experience in the management of patients with COPD. Mixed-effects logistic regression was used to analyze the impact of patients' characteristics in the therapeutic decision for prescribing ICS or proceeding to its withdrawal.

Results

A total of 74 pulmonologists agreed to collaborate in the survey and answered the questionnaire. The results showed great variability, with only 2 profiles achieving consensus for starting or withdrawing the treatment. The frequency and severity of exacerbations influenced the decision to prescribe ICS in a dose-response fashion (1 exacerbation odds ratio (OR) = 1.86, 95% confidence interval (CI) 1.02 to 3.43, two exacerbations OR = 11.6, 95% CI: 4.47 to 30.2 and three OR = 123, 95% CI: 25 to 601). Similarly, increasing blood eosinophils and history of asthma were associated with ICS use. On the other hand, pneumonia reduced the probability of initiating treatment with ICS (OR = 0.54 [0.29 to 0.98]). Lung function and dyspnea degree did not influence the clinician's therapeutic decision. The results for withdrawal of ICS were similar but in the opposite direction.

Conclusion

In accordance with guidelines, exacerbations, blood eosinophils and history of asthma or pneumonia are the factors considered by pulmonologist for the indication or withdrawal of ICS. However, the agreement in prescription or withdrawal of ICS when confronted with hypothetical cases is very low, suggesting a great variability in clinical practice.

Determinants in the Underdiagnosis of COPD in Spain-CONOCEPOC Study

Factors such as seeking medical attention for respiratory symptoms and health professionals ordering spirometry come into play in the underdiagnosis of chronic obstructive pulmonary disease (COPD). The objective of this study was to analyze seeking medical attention and the use of spirometry in individuals with chronic respiratory symptoms and to compare these results with those obtained in the 2005 and 2011 surveys. Material and Methods: A cross-sectional, observational, epidemiological study was conducted via phone interview in December 2020 in Spain, with a representative sample from 17 autonomous communities. The study design was identical to that of the studies carried out in 2005 and 2011 to evaluate the changes that have occurred in seeking medical attention and performing spirometry in Spain, as well as the variability between autonomous communities. Results: From 89,601 phone contacts, a total of 6534 respondents were obtained. A total of 24.8% reported having some chronic respiratory symptom, and 17.9% reported a respiratory disease. Only 51.6% of those who had some chronic respiratory symptom had seen their doctor, which was less likely among current smokers (OR: 0.599, 95% CI: 0.467−0.769, p < 0.001) and those living in a rural setting (OR: 0.797, 95% CI: 0.651−0.975, p = 0.027). A total of 68.7% of the individuals who saw a doctor reported having undergone spirometry, most frequently males (OR: 1.535, 95% CI: 2.074−1.136, p < 0.005), former smokers (OR: 1.696, 95% CI: 2.407−1.195, p < 0.003), and those seen by a pulmonologist (OR: 6.151, 95% CI: 8.869−4.265, p < 0.001). With respect to the 2005 survey, more frequent use of spirometry has been observed (42.6 vs. 68.7%), without any change in seeking medical attention for respiratory symptoms. There is a clear variability according to the autonomous community (p < 0.05). Conclusions: Many individuals with chronic respiratory symptoms do not seek medical attention and although the use of spirometry has increased in the past 15 years, it is still an important area that needs improving in the primary care setting, especially among women. Both of these factors can be determinants in the underdiagnosis of COPD and its variability between autonomous communities.

Drug Therapies for COPD: A Bibliometric Review From 1980 to 2021

Objective: To analyze all chronic obstructive pulmonary disease (COPD) drugs-related articles that were indexed in the Web of Science Core Collection (WOSCC) database until August 28, 2021 using bibliometric analysis, in order to provide a reliable reference for the treatment of COPD.

Methods: A comprehensive search was conducted to analyze all COPD drugs-related articles using WOSCC database from inception to August 28, 2021. Abstracts and potentially eligible articles, which were retrieved during literature search, were screened by two reviewers. Besides, the CiteSpace (5.8.R1) software was utilized to analyze the overall structure of the network, the network clusters, the links between clusters, the key nodes or pivot points, and the pathways.

Results: A total of 2552 COPD-drugs related articles were retrieved. From the perspective of categorization of published articles based on country, the United States is the country with the largest number of published articles and completed clinical trials, highlighting the important role of this country in the treatment of COPD. However, in terms of the proportion of ongoing clinical trials, China has the highest proportion, suggesting that China will play a more pivotal role in the medication of COPD in the future. From the perspective of cooperation among countries, the cooperation among European countries was closer than that among Asian countries. In the recent three decades, the top 20 institutions, with a particular concentration on the treatment of COPD, were from North America and Europe. The co-citation analysis showed that, among 2,552 articles, 53154 citations were recorded, and the co-citation network indicated that 24 clusters could be achieved.

Conclusion: The administration of bronchodilators and pulmonary drug delivery systems, as well as consideration of elderly COPD patients remained the hotspots, while triple therapy and comorbidity of COPD, as well as the prevention and treatment of elderly COPD patients had been frontiers in recent years.

Impact of anxiety and depression on the prognosis of copd exacerbations

Background

Frequent and highly prevalent as comorbidities in Chronic Obstructive Pulmonary Disease (COPD) patients, both depression and anxiety seem to have an impact on COPD prognosis. However, they are underdiagnosed and rarely treated properly.

Aim

To establish the prevalence of depression and anxiety in patients admitted for Acute Exacerbation of COPD (AECOPD) and determine their influence on COPD prognosis.

Methods

Prospective observational study conducted from October 1, 2016 to October 1, 2018 at the following centers in Galicia, Spain: Salnés County Hospital, Arquitecto Marcide, and Clinic Hospital Complex of Santiago de Compostela. Patients admitted for AECOPD who agreed to participate and completed the anxiety and depression scale (HADS) were included in the study.

Results

288 patients (46.8%) were included, mean age was 73.7 years (SD 10.9), 84.7% were male. 67.7% patients were diagnosed with probable depression, and depression was established in 41.7%; anxiety was probable in 68.2% and established in 35.4%. 60.4% of all patients showed symptoms of both anxiety and depression. Multivariate analysis relates established depression with a higher risk of late readmission (OR 2.06, 95% CI 1.28; 3.31) and a lower risk of mortality at 18 months (OR 0.57, 95% CI 0.37; 0.90).

Conclusion

The prevalence of anxiety and depression in COPD patients is high. Depression seems to be an independent factor for AECOPD, so early detection and a multidisciplinary approach could improve the prognosis of both entities. The study was approved by the Ethical Committee of Galicia (code 2016/460).

[Prevalence of Depressive Symptoms, Predictive Factors, and Diagnosis of Suspicion of Depression in Patients with COPD]

Objetivo

Conocer la prevalencia y factores predictores de depresión en pacientes diagnosticados de enfermedad pulmonar obstructiva crónica (EPOC) y remitidos desde Atención Primaria a consultas de Neumología, servicios que comparten la atención al proceso EPOC.

Diseño

Estudio observacional, multicéntrico, prospectivo con muestreo no probabilístico, transversal.

Emplazamiento

Dos consultas de neumología de dos hospitales de diferente nivel asistencial.

Participantes

Se diagnosticaron 293 pacientes de EPOC en fase estable de la enfermedad.

Intervenciones

Aplicación de cuestionarios clínicos habituales en la EPOC y test HADS (Hospital Anxiety and Depression Scale).

Variables

Variables demográficas, clínicas y funcionales de la EPOC y escala de depresión del test HADS (Hospital Anxiety and Depression Scale).

Resultados

Se incluyeron 229 hombres (78,16%) y 64 mujeres (21,8%), con una edad media de 68,2 ± 10,3 años, de los que 93 (31,7%) eran fumadores activos y 200 (68,3%) exfumadores. El 19,45% de los pacientes tenía diagnóstico clínico previo de depresión, pero mediante el test HADS se estableció el diagnóstico de sospecha en el 32,6%. Las variables predictoras fueron: ser mujer, vivir solo y variables relacionadas con la gravedad de la enfermedad (volumen espiratorio forzado en 1 segundo [FEV1] postbroncodilatador, ser paciente de riesgo y fenotipo agudizador según criterios de la Guía Española de la EPOC [GesEPOC] y grados C y D de criterios Global Initiative for Chronic Obstructive Lung Disease [GOLD]).

Conclusiones

La prevalencia de la depresión en pacientes con EPOC es alta y está infradiagnosticada. El test diagnóstico HADS es útil para establecer el diagnóstico de sospecha en las consultas de Atención Primaria y Neumología. Existen factores personales y clínicos que pueden considerar predictores y servir de orientación para determinar en qué pacientes realizar el test HADS y, en función de los resultados, derivar al paciente a una Unidad de Salud Mental para confirmar o descartar el diagnóstico.

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.

Efficacy of Web-Based Supportive Interventions in Quality of Life in COPD Patients, a Systematic Review and Meta-Analysis

Background: Adults living with Chronic Obstructive Pulmonary Disease (COPD) often have difficulties when trying to access health care services. Interactive communication technologies are a valuable tool to enable patients to access supportive interventions to cope with their disease. The aim of this revision and meta-analysis is to analyze the content and efficacy of web-based supportive interventions in quality of life in COPD. Methods: Medline (via PubMed), Web of Science, and Scopus were the databases used to select the studies for this systematic review. A screening, analysis, and assessment of the methodological quality was carried out by two independent researchers. A meta-analysis of the extracted data was performed. Results: A total of 9 of the 3089 studies reviewed met the inclusion criteria. Most repeated web content elements were educational and involved communication with healthcare professional content. Finally, seven of the nine studies were included in a quantitative analysis. Web-based supportive interventions significantly improved quality of life when added to usual care (SMD = −1.26, 95% CI = −1.65, −0.86; p < 0.001) but no significant differences were found when compared with an autonomous pedometer walking intervention (p = 0.64) or a face-to-face treatment (p = 0.82). Conclusion: This systematic review and meta-analysis suggests that web-based supportive interventions may complement or accompany treatments in COPD patients due to the advantages of online interventions. The results obtained should be treated with caution due to the limited number of studies in this area and methodological weaknesses.

Variability of blood eosinophil count and prognosis of COPD exacerbations

BACKGROUND

Eosinophils in peripheral blood are one of the emerging biomarkers in chronic obstructive pulmonary disease (COPD) patients. However, when analysing the relationship between peripheral eosinophilia and COPD prognosis, highly variable results are obtained. The aim of our study is to describe the serum eosinophilia levels in COPD patients and to analyse their relationship to prognosis following hospital admission.

METHODS

A prospective observational study was conducted from 1 October 2016 to 1 October 2018 in the following Spanish centres: Salnés County Hospital in Vilagarcía de Arousa, Arquitecto Marcide Hospital in Ferrol and the University Hospital Complex in Santiago de Compostela. The patients were classified using three cut-off points of blood eosinophil count (BEC): 150 cells/µL, 300 cells/µL, and 400 cells/µL; in addition, the peripheral BEC was analysed on admission.

RESULTS

615 patients were included in the study, 86.2% male, mean age 73.9 years, and mean FEV1 52.7%. The mean stay was 8.4 days, and 6% of all patients were readmitted early. No significant relationship was observed between the BEC, neither in the stable phase nor in the acute phase, and hospital stay, readmissions, deaths during admission, the need for intensive care, or the condition of frequent exacerbator.

CONCLUSION

The results of our study do not seem to support the usefulness of BEC as a COPD biomarker.KEY MESSAGESThere is evidence that BEC participates in pathophysiological mechanisms of the COPD.BEC may be useful as a biomarker in COPD for aspects such as the optimization of treatments.We did not find any relationship between BEC levels and prognosis following hospital admission for AECOPD.

Economic Impact of Low Adherence to COPD Management Guidelines in Spain

OBJECTIVE

The objective of this study was to assess the non-adherence level of Spanish clinical practice to guideline recommendations for the treatment of chronic obstructive pulmonary disease (COPD) and to estimate the potential impact on pharmaceutical expenditure resulting from transitioning current treatment patterns according to guidelines.

METHODS

A model was developed to compare current prescribing patterns with two alternative scenarios: the first aligned with the Global Initiative for Chronic Obstructive Lung Disease (GOLD 2020) recommendations, and the second with the Spanish Guidelines for COPD (GesEPOC 2017). Current treatment practice was obtained from publications that describe treatment patterns by pulmonology departments in Spain. The economic impact between patterns was calculated from the perspective of the Spanish National Health System (NHS), considering the annual pharmacological costs of COPD inhaled maintenance therapy. Two additional analyses were performed: one that included current prescribing patterns of patients managed by pulmonology and primary care centers in Spain (published aggregated data); and another that only considered the appropriate use of inhaled corticosteroids (ICS) treatment according to guidelines.

RESULTS

It was estimated that 54% and 38% of patients were not treated in line with GOLD and GesEPOC recommendations, respectively, mainly due to a broader use of ICS-based therapies. Adapting treatment to recommendations could provide a potential annual cost-saving of €17,792,022 (according to GOLD) and €5,881,785 (according to GesEPOC). In scenario analysis 1, a 26% of non-adherence to GesEPOC guideline was observed with a potential annual pharmacological cost-saving of €2,707,554. In scenario analysis 2, considering only inappropriate use of ICS treatment, an annual cost-saving of €17,863,750 (according to GOLD) and €9,904,409 (according to GesEPOC) was calculated.

CONCLUSION

More than a third of treatments for COPD patients in Spain are not prescribed in accordance with guideline recommendations. The adaptation of clinical practice to guideline recommendations could provide important cost-savings for the Spanish NHS.

Assessing the Performance of Clinical Natural Language Processing Systems: Development of an Evaluation Methodology

Background

Clinical natural language processing (cNLP) systems are of crucial importance due to their increasing capability in extracting clinically important information from free text contained in electronic health records (EHRs). The conversion of a nonstructured representation of a patient’s clinical history into a structured format enables medical doctors to generate clinical knowledge at a level that was not possible before. Finally, the interpretation of the insights gained provided by cNLP systems has a great potential in driving decisions about clinical practice. However, carrying out robust evaluations of those cNLP systems is a complex task that is hindered by a lack of standard guidance on how to systematically approach them.

Objective

Our objective was to offer natural language processing (NLP) experts a methodology for the evaluation of cNLP systems to assist them in carrying out this task. By following the proposed phases, the robustness and representativeness of the performance metrics of their own cNLP systems can be assured.

Methods

The proposed evaluation methodology comprised five phases: (1) the definition of the target population, (2) the statistical document collection, (3) the design of the annotation guidelines and annotation project, (4) the external annotations, and (5) the cNLP system performance evaluation. We presented the application of all phases to evaluate the performance of a cNLP system called “EHRead Technology” (developed by Savana, an international medical company), applied in a study on patients with asthma. As part of the evaluation methodology, we introduced the Sample Size Calculator for Evaluations (SLiCE), a software tool that calculates the number of documents needed to achieve a statistically useful and resourceful gold standard.

Results

The application of the proposed evaluation methodology on a real use-case study of patients with asthma revealed the benefit of the different phases for cNLP system evaluations. By using SLiCE to adjust the number of documents needed, a meaningful and resourceful gold standard was created. In the presented use-case, using as little as 519 EHRs, it was possible to evaluate the performance of the cNLP system and obtain performance metrics for the primary variable within the expected CIs.

Conclusions

We showed that our evaluation methodology can offer guidance to NLP experts on how to approach the evaluation of their cNLP systems. By following the five phases, NLP experts can assure the robustness of their evaluation and avoid unnecessary investment of human and financial resources. Besides the theoretical guidance, we offer SLiCE as an easy-to-use, open-source Python library.

Step-Up and Step-Down Treatment Approaches for COPD: A Holistic View of Progressive Therapies

Recent advances in inhaled drugs and a clearer definition of the disease have made the task of managing COPD more complex. Different proposals have been put forward which combine all the available treatments and the different clinical presentations in an effort to select the best therapeutic options for each clinical context. As COPD is a chronic progressive disease, the escalation of therapy has traditionally been considered the most natural way to tackle it. However, the notion of COPD as a constantly progressing disease has recently been challenged and, in specific areas, this points to the possibility of a de-escalation in treatment. In this context, the clinician requires simple, specific recommendations to guide these changes in treatment in their daily clinical practice. To accomplish this, the first step must be a correct evaluation and an accurate initial preliminary diagnosis of the patient's condition. Thereafter, the first escalation in therapy must be introduced with caution as the disease progresses, since clinical trials are not designed with clinical decision-making in mind. During this escalation, three possibilities are open to change the current treatment for a different one within the same family, to increase non-pharmacological interventions or to increase the pharmacological therapies. Beyond that point, a patient with persistent symptoms represents a complex clinical scenario which requires a specialized approach, including the evaluation of different respiratory and non-respiratory comorbidities. Unfortunately, there are few de-escalation studies available, and these are mainly observational in nature. The debate on de-escalation in pharmacological treatment, therefore, involves two main discussion points: the withdrawal of bronchodilators and the withdrawal of inhaled steroids. Altogether, the scheme for modifying treatment must be more personalized than just adding molecules, and the therapeutic response and its conditioning factors should be evaluated at each step before proceeding further.

Clinical characteristics and factors associated with triple therapy use in newly diagnosed patients with COPD

There is limited information about the initiation of triple therapy (TT) in patients with chronic obstructive pulmonary disease (COPD) in primary care. This was an observational, population-based study in patients identified from a primary care electronic medical records database in Catalonia from 2011 to 2015 aimed to identify the use of TT in patients with newly diagnosed COPD. A total of 69,668 newly diagnosed patients were identified of whom 11,524 (16.5%) initiated TT, of whom 8626 initiated TT at or immediately after COPD diagnosis. Among them, 72.3% were GOLD A/B, 14.6% were frequent exacerbators, and 7.1% had asthma-COPD overlap (ACO). Variables associated with TT initiation were: male sex, older age, previous exacerbations, ACO, a previous treatment regimen containing an inhaled corticosteroid, previous pneumonia, and history of lung cancer. A significant number of COPD patients in Primary Care initiated TT shortly after or even before an established COPD diagnosis.

Contemporary perspectives in COPD: Patient burden, the role of gender and trajectories of multimorbidity

An individual's experience of COPD is determined by many factors in addition to the pathological features of chronic bronchitis and emphysema and the symptoms that derive directly from them. Multimorbidity is the norm rather than the exception, so most people with COPD are living with a range of other medical problems which can decrease overall quality of life. COPD is caused by the inhalation of noxious particles or gases, in particular tobacco smoke, but also by early life disadvantage impairing lung development and by occupations where inhaled exposures are common (e.g. industrial, farming and cleaning work). Wealthy people are therefore relatively protected from developing COPD and people who do develop the condition may have reduced resources to cope. COPD is also no longer a condition that predominantly affects men. The prevalence of COPD among women has equalled that of men since 2008 in many high-income countries, due to increased exposure to tobacco, and in low-income countries due to biomass fuels. COPD is one of the leading causes of death in women in the USA, and death rates attributed to COPD in women in some countries are predicted to overtake those of men in the next decade. Many factors contribute to this phenomenon, but in addition to socioeconomic and occupational factors, there is increasing evidence of a higher susceptibility of females to smoking and pollutants. Quality of life is also more significantly impaired in women. Although most medications (bronchodilators and inhaled corticosteroids) used to treat COPD demonstrate similar trends for exacerbation prevention and lung function improvement in men and women, this is an understudied area and clinical trials frequently have a preponderance of males. A better understanding of gender-based predictors of efficacy of all therapeutic interventions is crucial for comprehensive patient care. There is an urgent need to recognize the increasing burden of COPD in women and to facilitate global improvements in disease prevention and management in this specific population. Many individuals with COPD follow a trajectory of both lung function decline and also multimorbidity. Unfavourable lung function trajectories throughout life have implications for later development of other chronic diseases. An enhanced understanding of the temporal associations underlying the development of coexisting diseases is a crucial first step in unravelling potential common disease pathways. Lessons can be learned from exploring disease trajectories of other NCD as well as multimorbidity development. Further research will be essential to explain how early life risk factors commonly influence trajectories of COPD and other diseases, how different diseases develop in relation to each other in a temporal way and how this ultimately leads to different multimorbidity patterns in COPD. This review integrates new knowledge and ideas pertaining to three broad themes (i) the overall burden of disease in COPD, (ii) an unappreciated high burden in women and (iii) the contrast of COPD trajectories and different multimorbidity patterns with trajectories of other NCD. The underlying pathology of COPD is largely irreversible, but many factors noted in the review are potentially amenable to intervention. Health and social care systems need to ensure that effective treatment is accessible to all people with the condition. Preventive strategies and treatments that alter the course of disease are crucial, particularly for patients with COPD as one of many problems.

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.

The increased risk of hospitalisation due to COVID-19 in patients with asthma is largely associated with age and related comorbidities. ICS and biologics may be associated with a protective effect against the most severe manifestations of COVID-19. https://bit.ly/37yhr5b

Withdrawal of inhaled corticosteroids versus continuation of triple therapy in patients with COPD in real life: observational comparative effectiveness study

BACKGROUND

Inhaled corticosteroids (ICS) are indicated for prevention of exacerbations in patients with COPD, but they are frequently overprescribed. ICS withdrawal has been recommended by international guidelines in order to prevent side effects in patients in whom ICS are not indicated.

METHOD

Observational comparative effectiveness study aimed to evaluate the effect of ICS withdrawal versus continuation of triple therapy (TT) in COPD patients in primary care. Data were obtained from the Optimum Patient Care Research Database (OPCRD) in the UK.

RESULTS

A total of 1046 patients who withdrew ICS were matched 1:4 by time on TT to 4184 patients who continued with TT. Up to 76.1% of the total population had 0 or 1 exacerbation the previous year. After controlling for confounders, patients who discontinued ICS did not have an increased risk of moderate or severe exacerbations (adjusted HR: 1.04, 95% confidence interval (CI) 0.94-1.15; p = 0.441). However, rates of exacerbations managed in primary care (incidence rate ratio (IRR) 1.33, 95% CI 1.10-1.60; p = 0.003) or in hospital (IRR 1.72, 95% CI 1.03-2.86; p = 0.036) were higher in the cessation group. Unsuccessful ICS withdrawal was significantly and independently associated with more frequent courses of oral corticosteroids the previous year and with a blood eosinophil count ≥ 300 cells/μL.

CONCLUSIONS

In this primary care population of patients with COPD, composed mostly of infrequent exacerbators, discontinuation of ICS from TT was not associated with an increased risk of exacerbation; however, the subgroup of patients with more frequent courses of oral corticosteroids and high blood eosinophil counts should not be withdrawn from ICS. Trial registration European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (EUPAS30851).

Clinical and Economic Consequences of Inhaled Corticosteroid Doses and Particle Size in Triple Inhalation Therapy for COPD: Real-Life Study

Objective

To determine the clinical and economic consequences of inhaled corticosteroid doses and particle size in patients on triple-inhalation therapy for COPD.

Methods

Patients aged ≥40 years who initiated treatment with multi-inhaler triple-inhaled therapy between 1 January 2015 and 31 March were included and followed for 1 year. Patients were grouped according to inhaled corticosteroid (ICS) dose (low/medium/high) and particle size device (extrafine/non-extrafine particles). Outcome variables were moderate and severe exacerbations, pneumonia and healthcare resource use (HCRU) costs. A multivariate analysis was performed for model correction (p<0.05).

Results

A total of 2185 patients (mean age 72.3 years, 82.9% male) were analysed. Of these, 849 (38.9%) patients received low-dose ICS, 612 medium-dose ICS (28.0%) and 724 (33.1%) high-dose ICS. Exacerbations occurred more frequently with increasing IC dose (low: 26.4%, medium: 28.7% and high: 30.4%; p=0.047), as did the proportion of pneumonia (3.4%, 4.2% and 6.9%, respectively (p=0.041)). The annual mean cost/unit was € 2383 for low dose, € 2401 for medium dose and € 2625 for high dose (p=0.024). Four hundred and sixty-two (31.6%) patients used an extrafine particle device and 999 (68.4%) a non-extrafine particle device: the proportion of exacerbations was 24.0% vs 30.4% (p=0.012), and the annual mean cost/unit was € 2090 vs € 2513, respectively (p<0.001). The number of exacerbations was directly correlated with FEV₁ (β= −0.157), age (β=0.071), Charlson index (β=0.050) and device type (extrafine: β=0.049) (p<0.02).

Conclusion

In patients with COPD receiving multi-inhaler triple therapy, higher ICS doses were not associated with a further reduction in exacerbations, whereas we found an increased risk of pneumonia. The use of inhaler devices delivering extrafine ICS particle was associated with a lower rate of exacerbations, resulting in lower overall HCRU costs.

Towards a symbiotic relationship between big data, artificial intelligence, and hospital pharmacy

The digitalization of health and medicine and the growing availability of electronic health records (EHRs) has encouraged healthcare professionals and clinical researchers to adopt cutting-edge methodologies in the realms of artificial intelligence (AI) and big data analytics to exploit existing large medical databases. In Hospital and Health System pharmacies, the application of natural language processing (NLP) and machine learning to access and analyze the unstructured, free-text information captured in millions of EHRs (e.g., medication safety, patients’ medication history, adverse drug reactions, interactions, medication errors, therapeutic outcomes, and pharmacokinetic consultations) may become an essential tool to improve patient care and perform real-time evaluations of the efficacy, safety, and comparative effectiveness of available drugs. This approach has an enormous potential to support share-risk agreements and guide decision-making in pharmacy and therapeutics (P&T) Committees.

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.

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 Manager® clinical platform. Out of 31,633 COPD patients, 793 had a diagnosis of COVID-19. The proportion of patients with COVID-19 in the COPD population (2.51%; 95% CI 2.33-2.68) was significantly higher than in the general population aged >40 years (1.16%; 95% CI 1.14-1.18); p < 0.001. Compared with COPD-free individuals, COPD patients with COVID-19 showed significantly poorer disease prognosis, as evaluated by hospitalizations (31.1% vs. 39.8%: OR 1.57; 95% CI 1.14-1.18) and mortality (3.4% vs. 9.3%: OR 2.93; 95% CI 2.27-3.79). Patients with COPD and COVID-19 were significantly older (75 vs. 66 years), predominantly male (83% vs. 17%), smoked more frequently, and had more comorbidities than their non-COPD counterparts. Pneumonia was the most common diagnosis among COPD patients hospitalized due to COVID-19 (59%); 19% of patients showed pulmonary infiltrates suggestive of pneumonia and heart failure. Mortality in COPD patients with COVID-19 was associated with older age and prevalence of heart failure (p < 0.05). COPD patients with COVID-19 showed higher rates of hospitalization and mortality, mainly associated with pneumonia. This clinical profile is different from exacerbations caused by other respiratory viruses in the winter season.

Treatment Pathways Before and After Triple Therapy in COPD: A Population-based Study in Primary Care in Spain

BACKGROUND

Recent data from real world clinical practices on the use of Triple Therapy (TT) in patients with COPD are scarce.

METHODS

Observational population-based study with longitudinal follow-up in patients with COPD identified in a primary care electronic medical records database in Catalonia, covering 80% of the general population. The aims were to characterize COPD patients who initiated TT and to describe treatment pathways before and after TT initiation. Time to and probability of step down or complete discontinuation of TT was described using restricted mean survival time and Kaplan-Meier analysis.

RESULTS

A total of 34,018 COPD patients initiated TT during the study period. Of them, 23,867 (70.1%) were GOLD A/B. 18,453 (54.2%) were non-exacerbators, 9931 (29.2%) infrequent exacerbators, 5634 (16.5%) frequent exacerbators and 1923 (5.6%) had asthma-COPD overlap. Drugs most frequently used prior to initiation of TT were long-acting antimuscarinics (22.5%) and combination of long-acting beta2 agonists/inhaled corticosteroids (15.2%). A total of 11,666 (34.3%) stepped down and 1091 (3.2%) discontinued TT during follow-up. Step down following TT was more likely in patients with severe COPD, especially during the first year; however, discontinuation was more common among patients with mild COPD.

CONCLUSION

Most patients initiating treatment with TT were non exacerbators and continued on the same treatment over time regardless severity of disease. Stepping down was more frequent in severe patients, while discontinuation was more common among mild patients. Overall, it appears that TT is extensively used in primary care for treatment of patients with COPD.

Current Challenges in Chronic Bronchial Infection in Patients with Chronic Obstructive Pulmonary Disease

Currently, chronic obstructive pulmonary disease (COPD) patients and their physicians face a number of significant clinical challenges, one of which is the high degree of uncertainty related to chronic bronchial infection (CBI). By reviewing the current literature, several challenges can be identified, which should be considered as goals for research. One of these is to establish the bases for identifying the biological and clinical implications of the presence of potentially pathogenic microorganisms in the airways that should be more clearly elucidated according to the COPD phenotype. Another urgent area of research is the role of long-term preventive antibiotics. Clinical trials need to be carried out with inhaled antibiotic therapy to help clarify the profile of those antibiotics. The role of inhaled corticosteroids in patients with COPD and CBI needs to be studied to instruct the clinical management of these patients. Finally, it should be explored and confirmed whether a suitable antimicrobial treatment during exacerbations may contribute to breaking the vicious circle of CBI in COPD. The present review addresses the current state of the art in these areas to provide evidence which will enable us to progressively plan better healthcare for these patients.