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Enregistrement W2141563902 · doi:10.1177/1474515112466156

Heart failure with preserved ejection fraction: health services implications of a stealth syndrome

2012· editorial· en· W2141563902 sur OpenAlexaff
Alexander M. Clark, Rachel Flynn, Zoe Hsu, Mark J. Haykowsky

Notice bibliographique

RevueEuropean Journal of Cardiovascular Nursing · 2012
Typeeditorial
Langueen
DomaineMedicine
ThématiqueCardiovascular Function and Risk Factors
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésMedicineEjection fractionHeart failureCardiologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Heart failure (HF) is burdensome. What is recognized far less is that HF with preserved ejection fraction (HFPEF) is even more disruptive and justifies urgent attention to understand and improve outcomes. Why? Firstly, HFPEF is the fastest growing form of HF in high-income countries.1 For example, in the United States nearly 50% of current HF patients have HFPEF.1 Originally termed diastolic heart failure, these patients have a divergent left ventricular remodelling pattern (e.g. via increased wall thickness and concomitant decreased cavity size) compared with HF patients with reduced ejection fraction (HFREF). This results in wider variations in outcomes in HFPEF patients around exercise intolerance, morbidity and mortality.2,3 Compounding these variations, while medicines continue to improve the life expectancy and quality in patients with HFREF, such therapies do not usually have the same benefits for patients with HFPEF.2 As these patients also tend to be older women with hypertension and obesity,2 to reduce the future burden of HF and improve the prospects of the sizable population with HF, better understanding and treatment of HFPEF are now urgent priorities. Yet, surprisingly basic gaps still exist in addressing HFPEF and improving outcomes. Most clinical guidelines and research studies remain focused predominantly on patients with HFREF and/or do not differentiate between patients with HFPEF and HFREF.2 Uncertainty remains regarding what constitutes a ‘normal’ ejection fraction. HFPEF raises a number of complex challenges for nursing and health services research. Ongoing uncertainty over whether HFPEF worsens prognosis, exercise capacity and life quality creates the possibility that HFPEF is a common, but usually hidden, confounding factor in pharmacological and non-pharmacological trials. This has particularly troublesome consequences because HFPEF is more common in older adults and women – the two main populations which will contribute most to the burden of heart disease in coming decades.4 Patients with HFPEF are also likely to have more co-morbidities and, thus, arguably be in greater need of beneficial and efficient therapies and health services. Yet, these patient groups also tend to be excluded from or are less likely to participate in trials.2 Ensuring that study populations contain representative populations remains a challenging but important aim to support generalizability of results to vulnerable clinical populations. Trials, especially those examining the influence of exercise, should also include mechanistic measures of heart function2 to ensure that intervention effects are not only measured but also understood. Unless study populations are adequately described and the presence of HFPEF determined, variations in outcomes may not result from chance or any intervention being evaluated but from the prevalence of HFPEF in the population being studied. As is well established in evidence-based practice: populations, the nature of interventions and comparisons, and what outcomes are studied influence the effects of interventions. However, HFPEF is difficult to diagnose, systolic and diastolic dysfunction can co-exist in the same patients and some patients with HFPEF may not even be characterized as having HF. While non-pharmacological interventions to promote HF self-care are often poorly described in studies and meta-analyses,3,5 this suggests that the characteristics of the populations in studies are also an important but potentially neglected facet. While research into non-pharmacological interventions for HF patients continues apace, in many respects future research needs to go back to the ‘drawing board’ to address how we as healthcare providers, researchers, academics and scientists singularize HF. Future studies should examine patients with HFPEF as a distinct population and consider the aetiology of the disease, the underlying mechanisms to the disease, and therapies to improve health outcomes. The complexity and the breadth of issues involved in this endeavour epitomize the great challenges facing clinical and health services research. Working together across disciplinary boundaries will be essential. Further, the challenges set by HFPEF call for work that creates a shared understanding of HFPEF. This likely requires that interactions among researchers of different disciplines take place in the framing of research problems, the coordination of knowledge to and across fields of research and the undertaking of research and its analyses. High performing eclectic research teams will be necessary to achieve this and such teams should adopt a translational focus that addresses the generation and transfusion of knowledge across the basic sciences, physiology and diagnostics. Alberta HEART (http://albertaheartresearch.ca/) is a landmark project that brings together 22 scientists across the research and healthcare spectrum to develop new therapies for HFPEF. This team includes researchers who lead work in basic physiology, exercise science, nursing, cardiology, biomedical engineering and health services, practitioners who provide health care in five heart failure clinics and experts in knowledge translation. Over the past 15 years, nursing research has made remarkable advances across disciplines in increasing the perceived importance of psychosocial and behavioural aspects of HF, its self-care and non-pharmacological management. Many of these advances have featured in the pages of this journal. Our ability to understand how key socio-contextual factors such as sex, age and socioeconomic status influences HF, its care and outcomes continues to progress rapidly and can inform more personalized health services that respond to such factors.6 However, the quality of this work is constrained by the degree to which variables are adequately conceptualized and measured in past and ongoing studies, registries and other administrative data sets.6,7 Complex problems do not conform to arbitrary or organizational disciplinary boundaries. By coming together in new and innovative ways to systematically define, measure and then intervene to improve outcomes for patients with HFPEF, researchers can begin to discover the nature and solutions to this most pressing of syndromes. By studying HFPEF across its trajectory and the health continuum, we can improve our understanding, management and also prevention of this most severe yet stealthy syndrome. None declared. This work was supported by an Alberta Innovates – Health Solutions / AHFMR Team Grant via Alberta HEART, grant number AHFMR ITG 200801018.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,028
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
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 enseignants0,031
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,028
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0040,003
Bibliométrie0,0030,002
Études des sciences et des technologies0,0030,003
Communication savante0,0070,004
Science ouverte0,0030,002
Intégrité de la recherche0,0310,030
Charge utile insuffisante (le modèle a refusé de juger)0,0050,003

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 Opus0,013
Tête enseignante GPT0,265
Écart entre enseignants0,253 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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
Publié2012
Routes d'admission1
Résumé présentnon

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