March 2017 at a Glance: Pathophysiology, Imaging, Biomarkers and Devices
Notice bibliographique
Résumé
Few things can be as much fascinating as finding a genetic determinant of symptoms and clinical outcomes in patients with heart failure (HF). Angermann et al. accomplished this. They analysed the polymorphism of the gene encoding for the neuropeptide S receptor in 924 patients with HF.1 The T-allele variant of this gene is associated with increased anxiety and overinterpretation of symptoms. In this study, TT genotype carriers had similar mortality but more re-hospitalizations and ambulatory visits and this association remained significant at multivariable analysis.1 The mechanisms of HF with preserved ejection fraction (HFpEF) are still debated. A landmark hypothesis is that it is caused by increased oxidative stress and reduced cGMP activity.2, 3 The mechanistic study by Mátyás et al. supports this. The administration of the phosphodiesterase-5A (PDE5) inhibitor vardenafil to diabetic rats prevented the development of diastolic dysfunction and restored cGMP levels and protein-kinase G activity.4 These data also suggest that PDE5 inhibition may be effective at an earlier stage, before the development of symptomatic HFpEF.5 Two-dimesional speckle tracking echocardiography can evaluate myocardial strain, namely radial, circumferential and longitudinal strain, and regional left ventricular (LV) deformation. This allows detection of early abnormalities of LV function occurring before changes in LV volumes and ejection fraction (EF) can be shown. Tops et al. review this topic and describe cases in which an abnormal global longitudinal strain shows an abnormality in LV function, in the presence of a normal LVEF.6 Two studies show the role of ferritin as an independent risk factor for HF development. These studies are based on two cohorts of subjects free of signs of cardiovascular disease at entry, one from the ARIC Study, with 1063 participants, and the other from PREVEND, with 6386 subjects.7, 8 Mean age was 53 years in both cohorts. Follow-up duration averaged 21 and 8 years, with an incidence of newly diagnosed HF of 13% and 3%, respectively. High serum ferritin levels were independent predictors of an increased risk of HF in both studies. In the first study, low ferritin levels were also associated with an increased risk of HF, compared to normal levels, whereas the association was significant only in women in the second study.7, 8 These studies add data to the complex relationship between iron metabolism and cardiovascular disease, namely HF. While iron deficiency is a major determinant of HF symptoms and, probably, outcomes and a target for treatment in patients with established HF or valve disease,9-11 ferritin can be a marker of increased risk of HF in the intially normal subjects, likely as a marker of inflammation. Symptoms, assessed by NYHA class and QRS duration, but not QRS morphology, had an independent association with mortality in a large Swedish registry including 13 423 patients.12 Retrospective analyses of randomized trials have shown the independent prognostic value of both QRS duration and QRS morphology.13, 14 The role of co-morbidities was assessed in 4334 patients who underwent implantable cardioverter defibrillator (ICD) implantation for primary or secondary prevention. The co-morbidity burden had no impact on the rate of ICD appropriate interventions but was an independent predictor of increased mortality with a greater likelihood of dying without prior appropriate ICD therapy, 72% when implanted for primary prevention and 45% for secondary prevention. The effects and safety of carotid body resection was assessed in a pilot trial. The procedure reduced muscle sympathetic activity and chemoreflex sensititviy with an improvement in exercise tolerance. Worsened oxygen saturation in the nightime was also observed.15 Veno-arterial extracorporeal membrane oxygenation (ECMO) is used for the treatment of acute HF and cardiogenic shock. This procedure may also cause an increased LV afterload secondary to the retrograde flow towards the heart, which may further impair transaortic valve flow. Hence, procedures for LV venting of patients on ECMO are used.16 Pappalardo et al. report a two-centre experienece in 157 patients on ECMO among whom 34 had concomitant Impella treatment. The two groups were compared by propensity matching and a better in-hospital outcome is suggested with the ECMO- Impella combined treatment.17 Remote monitoring with a biventricular ICD with advanced diagnostics was compared with traditional in-office follow-up in a prospective, randomized, multicentre controlled trial in 865 patients. No difference was found in the primary endpoint of death or cardiovascular or device-related hospitalizations. However, healthcare resource utilization was significantly reduced, mainly through a reduction in scheduled in-hospital visits.18 These data confirm a recent meta-analysis.19 Prevention of HF decompensation using implantable cardiac devices is a major area of research.20 Adamson et al. compare remote haemodynamic monitoring with implantable devices measuring intracardiac pressures with standard of care in a meta-anlaysis of 5 studies including 1296 patients with chronic HF. Remote haemodynamic monitoring was associated with a 38% reduction in HF hospitalizations, with a similar 32% reduction when only the three randomized prospective trials were analyzed.21
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,005 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,052 | 0,044 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».