Efficacy and safety of vericiguat in patients with HFrEF treated with sacubitril/valsartan: results from the VICTORIA trial
Notice bibliographique
Résumé
Abstract Background In the VICTORIA trial (n=5050) the reduction in the primary composite endpoint of cardiovascular death (CVD) or heart failure hospitalization (HFH) was similar whether or not patients received sacubitril/valsartan. The distribution of those patients who received sacubitril/valsartan after randomization (drop-ins) and the relationship to the efficacy and safety of vericiguat is unknown. Purpose We assessed the efficacy and safety of vericiguat in patients who were or were not treated with sacubitril/valsartan at baseline in the VICTORIA trial and the implications of post- randomization use of sacubitril/valsartan. Methods A total of 5040 patients were analyzed according sacubitril/valsartan use at randomization or initiated after randomization. The efficacy of vericiguat on the primary composite endpoint and its components, time to first HF hospitalization or all-cause mortality, were assessed according to sacubitril/valsartan use. Safety outcomes included symptomatic hypotension, syncope, worsening renal function, and hyperkalemia. Results Overall, 731 patients (360 on vericiguat and 371 on placebo) received sacubitril/valsartan at randomization. Patients treated with sacubitril/valsartan were twice as likely to be from Western Europe or North America, to have a lower ejection fraction and systolic and diastolic blood pressures, were more often on triple therapy (65.9 vs 58.6%), and more likely to have received biventricular pacing (17.9 vs 14.1%) or ICDs (42.3 vs 25.3%). For patients on sacubitril/valsartan at baseline, the adjusted hazard ratios for vericiguat's treatment effect on the primary composite outcome, CVD, and HFH was 0.94 (95% CI 0.74–1.20), 0.81 (95% CI 0.55–1.20) and 0.99 (95% CI 0.76–1.30), respectively. For those patients not on sacubitril/valsartan (2161 vericiguat; 2148 on placebo), the corresponding adjusted hazard ratios for vericiguat's treatment effect on the primary composite outcome, CVD, and HFH were 0.89 (0.80–0.98), 0.95 (0.82–1.11), and 0,87 (0.78–0.98), respectively. There was no significant interaction on the treatment effect of vericiguat based on the use of sacubitril/valsartan. More placebo patients (n=238) received drop-in use of sacubitril/valsartan than vericiguat group (n=187; p=0.007) post-randomization during follow-up (Figure). Overall, adverse events in the 992 patients receiving sacubitril/valsartan (at either baseline or drop-in for at least 3 months) were not significantly different according to those on placebo vs vericiguat for symptomatic hypotension (21.0% vs 23.1), renal dysfunction (8.0 vs 9.0%), and hyperkalemia (10.3 vs 7.9%). Conclusions Sacubitril/valsartan use was initiated more frequently after randomization in patients on placebo than on vericiguat. Concomitant use of sacubitril/valsartan did not alter the efficacy of vericiguat and was similarly tolerated in both study arms. Funding Acknowledgement Type of funding sources: Other. Main funding source(s): Merck & Co., Inc. and Bayer
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».