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Enregistrement W2599506948 · doi:10.1111/resp.13031

COPD: Lessons learned, forging a fantastic future

2017· editorial· en· W2599506948 sur OpenAlexaff
Don D. Sin, Gregory G. King

Notice bibliographique

RevueRespirology · 2017
Typeeditorial
Langueen
DomaineMedicine
ThématiqueChronic Obstructive Pulmonary Disease (COPD) Research
Établissements canadiensUniversity of British ColumbiaProvidence Health Care
Organismes subventionnairesnon disponible
Mots-clésCOPDMedicineDiseaseEconomic growthGerontologyIntensive care medicinePathologyPsychiatry

Résumé

récupéré en direct d'OpenAlex

A year ago, we asked 75 internationally renowned authors, representing four continents of the world, to highlight the most important lessons that we have learned over the past decade regarding the pathogenesis, diagnosis and management of COPD. We instructed them to focus in particular on the Asia Pacific region, where there are still major challenges to the diagnosis and treatment of COPD and to provide insights in these reviews that can translate to improved care of our patients and promote policies and research programmes to address its growing burden in our communities and throughout the world. They have delivered in a resounding way and through their efforts, we have been empowered. What were the key lessons from this series? We learned that by 2020, more than 200 million people worldwide will have COPD and every year, COPD will be directly responsible for the death of 4.7 million people.1 COPD is increasingly observed in marginalized communities including those of low socio-economic status and among patients with HIV/AIDS.2 While the pathophysiology of COPD is complicated, the main drivers of this disease are cigarette smoke in industrialized nations and air pollution in the developing world.3 The importance of early life events in the pathogenesis of COPD is beginning to be recognized. The two primary processes that lead to COPD are: (i) accelerated decline in lung function in adulthood and (ii) poor lung growth during childhood.4 While most patients with COPD have mild disease (forced expiratory volume in 1 s (FEV1) >80% of predicted with FEV1/forced vital capacity (FVC) ratio <70%), many of these patients are symptomatic (when challenged)5 and indeed, they have the greatest rate of FEV1 decline.4 For example, an incremental exercise test reveals that these patients are frequently ventilation-limited in their exercise tolerance and bronchodilators improve their exercise performance.5 It is thus important to encourage physical activity in COPD patients, even in the earliest stages of disease.6 It is important that when exercise targets are set, clinicians should set achievable goals by outlining initially a low-intensity programme that patients can perform as part of their ‘daily routine’.6 It should also be noted that while COPD is objectively defined by persistent spirometric airflow limitation, innovative application of advanced imaging modalities such as computed tomography (CT) and MRI scans demonstrate different phenotypes of disease (e.g. airway vs emphysema), define novel, clinically relevant disease features and provide new insights into pathogenesis, even in patients who have normal spirometry.7 Given that many patients with COPD have multiple co-morbidities, which impact their symptoms, morbidity and mortality, developing a multidimensional risk profile for established COPD patients as well as at-risk individuals is an urgent and high priority research goal. In more advanced stages, pharmacological strategies are needed. Therapeutic choices should be driven by patient symptoms and their risk of exacerbation.8 Patient preference should also be factored into this decision. For those with persistent symptoms, the initial choice in most cases should be a long-acting bronchodilator.8 However, some COPD patients also have a clear history of asthma (which we now label as ‘asthma–COPD syndrome’), in which case inhaled corticosteroids in combination with a long-acting bronchodilator may be considered.9 There is a pressing clinical need to better understand the asthma–COPD syndrome, particularly to develop biomarkers of risk and treatment response, which might include indices of inflammation, complex lung physiology and imaging.9 For example, airway hyperresponsiveness (AHR) is common in COPD but its mechanisms are complex and poorly understood in asthma and in COPD. AHR appears to be driven by perturbed airway geometry and increased airway wall stiffness whereas in asthma AHR is likely due to greater airway constriction related to greater airway smooth muscle mass, along with other pathophysiological factors.10 There are non-pharmacological therapies (including influenza and pneumococcal vaccination, smoking cessation and pulmonary rehabilitation) that should be provided for patients.11 The natural history of COPD is often punctuated by periods of exacerbations, which if severe enough, should be treated with a 5-day course of systemic corticosteroids (e.g. 40 mg/day of prednisone or equivalent).12 COPD is a complex disorder with many additional features including pulmonary hypertension (which is present in 20–30% of patients with FEV1 <50% of predicted),13 bronchiectasis and various co-morbidities (e.g. cardiovascular disease).14 In these complex patients, clinicians may wish to set up a ‘control panel’ to list the relevant features and align these features with possible therapeutic solutions for each of these co-morbidities.14 What is the future of COPD research? The omics revolution provides an exciting new chapter to unlock the mysteries in pathogenesis and enable discovery of new and more effective therapeutic solutions. The omics technology has already shown that our lungs are not sterile and that there is a rich lung microbiome that is perturbed in COPD.15 The relevance of the lung microbiome in health and disease will soon be revealed.16 Animal models provide valuable mechanistic insights to COPD and its importance will be enhanced with new molecular techniques (e.g. gene editing) that will accelerate translation.17 These advances will demand a high standard of clinical assessment; arguably new drugs and treatment strategies will work when applied in the right patient and clinical assessment of patients with airways disease will be more (rather than less) important in their future management. We are entering the golden age of COPD research and with the multi-omics revolution, we will expect new biomarkers for accurate phenotyping and precision health and novel therapeutic products that will fundamentally alter the ‘natural course of COPD’ and enable our patients to live longer and live better.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,036
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,032
Tête enseignante GPT0,378
Écart entre enseignants0,346 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2017
Routes d'admission1
Résumé présentoui

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