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Enregistrement W4389244501 · doi:10.1182/blood-2023-178127

Impact of Quality and Type of Anticoagulant Treatment, and Inflammatory Biomarkers on Quality of Life and Psychological Morbidity in Patients with Atrial Fibrillation: An Exploratory Study

2023· article· en· W4389244501 sur OpenAlexaboutno aff
Ana Mónica Machado, Fernanda Leite, M. Graça Pereira

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueAtrial Fibrillation Management and Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineAtrial fibrillationQuality of life (healthcare)Stroke (engine)WarfarinHospital Anxiety and Depression ScaleIntensive care medicineInternal medicinePhysical therapyAnxietyPsychiatry

Résumé

récupéré en direct d'OpenAlex

Background: Owing to increasing worldwide life expectancy, the step rise in the prevalence of atrial fibrillation (AF) represents an urgent public health issue. Indeed, AF can severely affect a patient's quality of life (QoL) since it is associated with serious outcomes, such as stroke, cardiac failure, and cognitive impairment/dementia, resulting in increased morbidity and mortality and a burden for health-care systems. Anticoagulation therapy prevents stroke in individuals with AF, whether with vitamin K antagonists (VKA) or direct oral anticoagulants (DOACs). So far, effective AF management is missing since its etiology is unraveled. Within the research project [Cognitive Decline Risk Profiles and Quality of Life in Atrial Fibrillation: A Longitudinal Study- 2022.072(057-DEFI/058-CE)] a pilot study was conducted to assess a dynamic cohort of AF outpatients who attended the anticoagulation clinic at Santo António University Hospital Center, a Portuguese university public hospital. In this study, QoL, distress and cognitive impairment in patients with AF was assessed considering quality and type of anticoagulant treatment. Methods: With a cross-sectional design, quality of anticoagulation therapy was measured calculating Time in Therapeutic Range (TTR) using Rosendaal method for patients under VKA (TTR>70% as good control); for those patients under DOAC, the presence of plasma therapeutic levels of this drug, taking into account the time of blood sampling, meant an anticoagulant treatment of quality. QoL and distress were assessed by the Atrial Fibrillation Effect on Quality-of-life Questionnaire (AFEQT) and the Depression, Anxiety and Stress Scale (DASS-21), respectively. Cognitive impairment was assessed by the Montreal Cognitive Assessment (MoCA) scale. Data on sociodemographic, clinic [medical history including quality and type of anticoagulation therapy, stroke(CHA2DS2-VASc) and bleeding(HAS-BLED) risk scores, duration of illness) and inflammatory biomarkers were also collected. Results: A total of 62 AF patients were included (mean age 74.4±10.2 years, 59.7% women) with a mean CHA2DS2-VASc of 4.3±1.6 and HAS-BLED of 2.6±1.2. Fifty patients (80.6%) were on VKA and twelve (19.4%) on DOACs (all in apixaban). Those individuals under VKA showed a mean TTR score of 77.1 ± 14.7% (67.4% with a good control) and 11 patients in apixaban presented DOAC therapeutic plasma level. Participants had an illness duration average of 16.02 years±10.62. The mean scores of AFEQT was 2.65 ± .93 showing a good QoL and for MoCA was 21.66 ± 3.90 indicating mild cognitive impairment. Regarding anxiety, depression, and stress (DASS-21) the mean scores were 4.27 ± 4.08, 6.52 ± 4.92 and 7.37 ± 5.37, respectively showing non-clinical psychological morbidity. Patients with higher plasmatic levels of C Reactive Protein (CRP) reported more depression (r= .482; p= .005) and those with a longer illness duration presented a higher level of cognitive impairment, (r= -.398; p= .001). No other associations were found between inflammatory biomarkers and psychological variables. There were significant differences according to sex, age, and illness duration, with women reporting lower QoL (p = .002), higher depression (p = .004), higher stress (p = .005) and older patients (p = .017) as well as patients under VKA and longer disease duration reporting better TTR. (p = .007). No differences were found on patients' QoL (p = .342), anxiety (p = .370), depression (p = .167) and stress (p = .117), cognitive impairment, (p = .084) between good and non-good quality of anticoagulant treatment and between VKA versus DOAC therapy (p = .444). Conclusion: The majority of the patients showed good quality of anticoagulation and QoL, but they revealed mild cognitive impairment. Patients' QoL, distress and cognitive impairment were independent of quality and type of anticoagulation treatment. Older AF patients, particularly those with longer diagnosis, should be assessed for cognitive function on a regular basis, preventing dementia and economic burden. The association of depression with higher levels of CRP in AF patients underlines the nature of these two inflammatory conditions that coexisting associate to worse outcomes. Future studies should assess cognitive function over time to unravel the pathophysiology of cognitive decline and the effect of AF treatments on cognition to optimize and personalize AF therapy.

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,229
Tête enseignante GPT0,436
Écart entre enseignants0,207 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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