Cellular Adhesion Molecules and Adverse Outcomes in Chronic Heart Failure
Notice bibliographique
Résumé
Importance: Vascular cell adhesion molecule 1 (VCAM-1) and intracellular cell adhesion molecule 1 (ICAM-1) are responsible for immune cell-cell interactions. Systemic levels of VCAM-1 are associated with incident heart failure (HF). Objectives: To determine if VCAM-1 and ICAM-1 levels are associated with progression of established HF. Design, Setting, and Participants: Participants enrolled in the biomarker substudy of the Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure (DAPA-HF) randomized clinical trial had VCAM-1 and ICAM-1 levels measured at baseline and 12 months. The DAPA-HF trial was conducted at 410 sites in 20 countries. Patients with HF and reduced ejection fraction (HFrEF) in New York Heart Association (NYHA) class II to IV with elevated natriuretic peptides were enrolled between February 15, 2017, and August 17, 2018, with final follow-up on June 6, 2019. Data were analyzed from January 2023 to January 2025. Interventions: Dapagliflozin, 10 mg, once daily vs placebo. Main Outcomes and Measures: The primary outcome was the composite of a worsening HF event or cardiovascular death. The associations between VCAM-1 and ICAM-1 levels at baseline and the primary outcome, its components, and all-cause death were analyzed using Cox proportional hazards regression models adjusted for known prognostic variables including estimated glomerular filtration rate (eGFR), N-terminal pro-B-type natriuretic peptide (NT-proBNP), and high-sensitivity troponin T (hs-TnT), as well as high-sensitivity C-reactive protein. Results: A total of 3051 participants (mean [SD] age, 67.2 [10.5] years; 2386 male [78.2%]) were included in this study. Mean (SD) follow-up time was 17.6 (5.2) months. The median (IQR) baseline VCAM-1 level was 997 (816.7-1218.8) ng/mL. Compared with patients with lower concentrations of VCAM-1, those with higher concentrations of VCAM-1 were older (mean [SD] age T3 vs T1, 69.7 [9.7] years vs 64.1 [10.7] years; P < .001), in worse NYHA class (T3 vs T1, NYHA class III/IV 35.6% [362 of 1017] vs 26.5% [269 of 1017]; P < .001), and had higher NT-proBNP (median [IQR] T3 vs T1, 2018 [1126-3753] pg/mL vs 1118 [693-1830] pg/mL) and hs-TnT (median [IQR] T3 vs T1, 24.7 [17.1-37.5] ng/L vs 16.6 [11.6-24.9] ng/L) concentrations, and lower eGFR (mean [SD] T3 vs T1, 58.4 [17.6] mL/min/1.73 m2 vs 71.7 [18.0] mL/min/1.73 m2). Patients in tertile 3 of VCAM-1, compared with tertile 1, had the highest risk of each outcome (eg, adjusted hazard ratio [HR] for primary outcome 1.40; 95% CI, 1.11-1.77; P = .004). ICAM-1 level was not associated with an elevated risk of any outcome. The benefit of dapagliflozin vs placebo in reducing the risk of the primary outcome was consistent across VCAM-1 tertiles: HR, 0.76 (95% CI, 0.54-1.06), 0.82 (95% CI, 0.59-1.12), and 0.77 (95% CI, 0.61-0.98) for tertiles 1, 2 and 3, respectively (P for interaction = .93). There was no significant change in VCAM-1 level with dapagliflozin at 52 weeks. Conclusions and Relevance: Results of this substudy of the DAPA-HF randomized clinical trial demonstrate that higher VCAM-1 levels, possibly reflecting a distinct inflammatory/immune pathophysiological pathway in HFrEF, were associated with worse outcomes, even after adjustment for conventional prognostic variables. Trial Registration: ClinicalTrials.gov Identifier: NCT03036124.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».