5191Recurrent coronary heart disease in the year following myocardial infarction among US men and women between 2008 and 2015
Notice bibliographique
Résumé
Abstract Background Although the risk of recurrent events among adults with coronary heart disease (CHD) has declined considerably from the 1970's in the US and many Western countries, studies from the 2000's show that rates remain high. Women have lower rates of incident CHD but little is known about sex differences in recurrent events in adults with CHD. Purpose To examine trends in rates of recurrent myocardial infarction (MI), recurrent CHD, and all-cause mortality following a MI hospitalization between 2008 and 2015 among US men and women. Also, we compared sex differences in event rates among individuals with a MI hospitalization versus their counterparts without a history of CHD. Methods Data were used from 1,232,024 (53% women) US adults <65 years of age with commercial health insurance in the MarketScan database and US adults ≥66 years of age with government health insurance through Medicare who had a MI hospitalization between January 1, 2008 and December 31, 2015. For each calendar year, age-standardized sex-specific rates of recurrent MI, recurrent CHD (i.e., recurrent MI or coronary revascularization), and all-cause mortality (in Medicare only) were calculated through 365 days following the hospital discharge date for MI. In a secondary analyses, we assessed the rate of recurrent MI, CHD events and all-cause mortality among women versus men with a history of MI (n=324,283) and without a history of CHD (n=1,297,132) in 2014–2015. For these analyses, adjusted hazard ratios (95% confidence intervals) were calculated using follow-up through December 31, 2016. Results From 2008 to 2015, age-standardized rates over 365 days of follow-up for recurrent MI declined by 15%, from 94 to 80 per 1000 person-years, in men and by 14%, from 89 to 77 per 1000 person-years, in women. Age-standardized recurrent CHD rates decreased by 16%, from 163 to 138 per 1000 person-years, in men and by 17%, from 142 to 118 per 1000 person-years, in women. In the Medicare population, age-standardized all-cause mortality rates following MI decreased by 6%, from 446 to 421 per 1000 person-years, in men and by 3%, from 412 to 398 per 1000 person-years, in women. In the secondary analyses, the women-to-men hazard ratios for those with a history of MI and those without prior CHD were 0.97 (0.94–0.99) and 0.67 (0.65–0.69), respectively, for MI, 0.89 (0.87–0.91) and 0.52 (0.51–0.54), respectively, for CHD, and 0.84 (0.83–0.85) and 0.74 (0.73–0.75) respectively, for all-cause mortality. Conclusion Reductions in rates of recurrent MI, recurrent CHD, and all-cause mortality within 365 days after hospitalization for MI have been similar for US women and men. The lower risk for events comparing women versus men without prior CHD is attenuated after a MI. Acknowledgement/Funding The design and conduct of the study was supported through a research grant from Amgen, Inc.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».