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Enregistrement W3097010854 · doi:10.1002/ejhf.1523

October 2020 at a Glance: Focus on Outcomes, Valve Disease and Patients’ Monitoring

2020· article· en· W3097010854 sur OpenAlexaff
Daniela Tomasoni, Marianna Adamo, Marco Metra

Notice bibliographique

RevueEuropean Journal of Heart Failure · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueCardiac Valve Diseases and Treatments
Établissements canadiensSurgical Specialties (Canada)
Organismes subventionnairesnon disponible
Mots-clésMedicineHazard ratioInternal medicineCardiologyEjection fractionHeart failureCoronary artery diseaseConfidence intervalProportional hazards modelFramingham Risk ScoreClinical endpointDiseaseClinical trial

Résumé

récupéré en direct d'OpenAlex

Heart failure (HF) remains a major burden in terms of morbidity and mortality.1 Velagaleti et al.2 investigated the occurrence of subsequent clinical events in 1036 patients with new-onset HF from the Framingham Heart Study. They found that each event was associated with a high risk of recurrence of the same type of event, generating a vicious circle. Data from Danish nationwide registries showed that, compared with new-onset HF, worsening of chronic HF was associated with a higher rate of the composite endpoint including all-cause mortality or HF readmission (hazard ratio 1.37, 95% confidence interval 1.31–1.43).3 In a study by Ishigami et al.,4 incident hospitalization for HF or coronary artery disease resulted in a subsequent decline in renal function in the 2 years after the event, with a faster decline and greater slope change after HF compared with coronary artery disease. In a large database of almost half-million US patients with HF, both prevalent tricuspid regurgitation (TR) and incident TR were independently associated with an increased risk of mortality at a median follow-up of 1.5 years.5 Transcatheter tricuspid valve repair (TTVR) for severe TR was found to be safe and effective in previous studies.6, 7 Kresoja et al.8 analysed a total of 111 patients with isolated TR, treated by TTVR, of whom 71 had HF with preserved ejection fraction (HFpEF) and 40 had HF with reduced ejection fraction (HFrEF). Procedural success did not differ between the two subgroups. HFrEF patients were at higher risk of all-cause death or hospitalization at 12 months and procedural success was associated with improved outcome in HFpEF patients with a relief of symptoms in both cases. Nutritional impairment is common in patients undergoing TTVR and has prognostic implications.9 TTVR may improve nutritional status in some patients with severe TR and this was associated with improvement in quality of life and better outcomes.10 Transcutaneous edge-to-edge mitral valve repair is a treatment option for patients with HF and functional mitral regurgitation (MR).11, 12 Reichart et al.13 showed that patients with residual MR ≤ 1 at discharge and 12-month follow-up had better survival compared to those with higher grades of residual MR. Cardiac amyloidosis (CA) is an underdiagnosed cause of HF.14 Nitsche et al.15 prospectively screened patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR). Among 191 patients with AS, 8.4% had CA. Voltage/mass ratio and stroke volume index showed a good discriminative power, comparable to cardiac magnetic resonance, to detect CA hypertrophy. CA did not impact survival after TAVR in this cohort. An analysis from the Placement of Aortic Transcatheter Valves (PARTNER) 2 trial and registries showed that recent HF hospitalization was associated with increased mortality at both 30 days and 2 years in AS patients undergoing TAVR. Cardiovascular mortality was the most frequent. Moreover, infective endocarditis at 2 years was more common in the recent HF group.16 Veenis et al.17 evaluated the impact of an aortic valve procedure (replacement or repair) in patients undergoing continuous-flow left ventricular assist device (LVAD) implantation. At multivariate analysis, aortic valve replacement was associated with a poorer outcome. However, this occurred only in patients in whom moderate-to-severe aortic regurgitation was not diagnosed prior to LVAD implantation. There is a growing interest in telemonitoring for HF patients.18 The results of the CardioMEMS European Monitoring Study for Heart Failure (MEMS-HF) enrolling 234 New York Heart Association class III patients in Europe are reported. HF hospitalizations decreased by 62% 12 months after implantation. In addition, mean pulmonary artery pressure (PAP) decreased by 5.1 ±7.4 mmHg and both the Kansas City Cardiomyopathy Questionnaire and the 9-item Patients Health Questionnaire scores improved after the device was implanted.19 A study by Almufleh et al.20 evaluated the correlation between haemoconcentration and invasive haemodynamic parameters in patients with HF. In 23 patients undergoing CardioMEMS implantation, changes in haemoglobin were negatively correlated with changes in diastolic PAP. Mullens et al.21 reported the results of the SIRONA study, showing the safety and feasibility of the new Cordella Pulmonary Artery Pressure Sensor and of the comprehensive Cordella Heart Failure System. Mean PAP values were comparable with Swan–Ganz catheter measurements. The Ventricular tachyarrhythmia detection by Implantable loop recording in Patients with Heart Failure and preserved ejection fraction (VIP-HF) study showed that the incidence of ventricular tachyarrhythmias in HF patients with ejection fraction >40% was 0.6 per 100 person-years. Non-sustained ventricular tachyarrhythmias had an incidence of 11.5 per 100 person-years. Five out of 113 patients developed bradyarrhythmias. Overall, 20% of patients were hospitalized for HF and 12% died, mostly due to cardiovascular causes.22

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)0,006
score de la tête « metaresearch » (Gemma)0,021
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: aucune
Score de désaccord entre enseignants0,104
Score d'incertitude au seuil0,346

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,021
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,001
Communication savante0,0060,006
Science ouverte0,0020,004
Intégrité de la recherche0,0050,006
Charge utile insuffisante (le modèle a refusé de juger)0,1040,046

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 GPT0,279
Écart entre enseignants0,266 · 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

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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Même revueEuropean Journal of Heart FailureMême sujetCardiac Valve Diseases and TreatmentsTravaux en français237 207