Patients With ST-Segment Elevation Myocardial Infarction and Cerebrovascular Accidents: Impact of COVID-19 Vaccination on Mortality
Notice bibliographique
Résumé
Background: Coronavirus disease 2019 (COVID-19) infection is associated with proinflammatory states and adverse health outcomes such as ST-segment elevation myocardial infarction (STEMI) and cerebrovascular accidents (CVA). Limited evidence suggests that COVID-19 vaccination may decrease the adverse impact of COVID-19 infections. This study was designed to determine if patients who received COVID-19 vaccination had lower mortality from STEMI and CVA. Methods: This is a retrospective comparative analysis of 3,050 patients, who were admitted to the hospital and diagnosed with STEMI or CVA between April 1, 2019, and April 1, 2022. Patients were divided into three different timeframes: pre-COVID (April 1, 2019, to March 31, 2020), COVID (April 1, 2020 to March 31, 2021), and post-COVID (April 1, 2021 to March 31, 2022). Chi-square analysis was completed to analyze associations between STEMI, CVA, and vaccination status. A multinominal logistic regression was used to determine significant predictors for in-hospital mortality. Results: A total of 3,050 patients were admitted (1,873 STEMI and 1,177 CVA). STEMI accounted for about 60% of cases in each of the three time periods. There was no statistical difference in STEMI or CVA percentages in the three time periods. There was increased mortality in STEMI and CVA patients (odds ratio (OR) = 11.4; P < 0.001), but patients who received the COVID-19 vaccine were less likely to die (OR = 0.51, 95% confidence interval (CI): 0.28 - 0.93; P < 0.027) when compared to those who were unvaccinated. There was increased risk of death in patients with atrial fibrillation (AFIB) (OR = 2.43; P < 0.001) and chronic heart failure (CHF) (OR = 1.76; P = 0.004). There was increased mortality risk associated with age (OR =1.03; P = 0.001). Patients with coronary artery disease (CAD) (OR = 0.45; P = 0.014) and hyperlipidemia (OR = 0.29; P < 0.001) were less likely to die. Conclusions: Vaccination against COVID-19 was associated with reduced mortality rates in patients hospitalized with STEMI and CVA. Patients with pre-existing cardiovascular comorbidities such as CAD and hyperlipidemia also had lower mortality.
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 | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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 | 0,000 | 0,001 |
| 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 ».