New Mechanistic and Therapeutic Targets for Pediatric Heart Failure
Notice bibliographique
Résumé
Challenges and Opportunities in Pediatric Heart Failure and Transplantation 79 P ediatric heart failure (HF) is the inability of the heart of an infant, child, or adolescent to meet the body's metabolic demands.It involves circulatory, neurohumoral, and molecular abnormalities that manifest as edema, respiratory distress, growth failure, and exercise intolerance.The myriad causes include inherited and acquired myocardial anomalies (cardiomyopathy [CM]), volume overload (intracardiac shunts, valvular regurgitation), and the unique hemodynamics predicated by a functional single ventricle (palliated complex congenital heart disease [CHD]).Although the societal and financial costs of adult HF are well known, the burden of pediatric HF is less familiar, but no less onerous.New-onset HF requiring hospital admission occurs in 0.87 per 100 000 children, 1 yet that does not include the growing population with CHD-related HF.In 2006, there were nearly 14 000 pediatric hospitalizations for HF from all causes in the United States. 2 The rate of HF-related admissions was nearly 18 per 100 000 children, 2 which is comparable to severe sepsis.3 The mortality for pediatric HF hospitalizations is significant.The 7% overall hospital mortality rate exceeds the 4% mortality of adult HF admissions 4 and represents a 20-fold increase over children without HF. 2 With comorbidities like renal failure, sepsis, or stroke, hospital mortality in pediatric HF can exceed 20%, 2 yet the risk does not end with discharge.After an initial HF hospitalization, only 21% of children in 1 study avoided readmission, death, or transplantation.5 Pediatric HF treatment is resource intensive.Although the total healthcare costs for pediatric HF are lower than for adults, per-patient costs are higher.The estimated hospital charge per pediatric HF admission in 2006 was >$135 000, with aggregate charges exceeding $1.8 billion.6 Certain subpopulations of pediatric HF incurred disproportionally higher costs.For example, single-ventricle CHD averaged >$200 000 per hospitalization, 7 whereas adult HF admissions averaged <$25 000.8 These data do not account for the full burden of pediatric HF.There are no national cost estimates for outpatient pediatric HF management, and, because long-term survival rates are higher in children, the lifetime costs of HF in children are likely to be much higher than in adults.Few HF therapies are developed specifically for children, and drugs that benefit adults have not clearly demonstrated clinical effectiveness in pediatric HF. 9 In fact, pediatric HF therapy has not improved survival significantly over the past 30 years.10 Consequently, we need to understand the mechanisms unique to pediatric HF to inform the development of appropriate therapies. Working GroupIn April 2013, the National Heart, Lung, and Blood Institute convened a Working Group (WG) of experts in pediatric and adult cardiology, HF, CM, cardiomyocyte proliferation, genomics, pediatric cardiac surgery, gene therapy, and imaging.Although the WG acknowledged the need to improve clinical care and quality of life for children with HF, its purpose was to identify promising research targets, or mechanistic areas related to the unique pathogenesis of pediatric HF with possible therapeutic potential.
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 | 0,006 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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.
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 ».