Risk of major adverse cardiovascular events in rural vs urban settings among patients with erectile dysfunction: a propensity-weighted retrospective cohort study of 430 621 men
Notice bibliographique
Résumé
BACKGROUND: The relationship between erectile dysfunction (ED) and cardiovascular (CV) events has been postulated, with ED being characterized as a potential harbinger of CV disease. Location of residence is another important consideration, as the impact of rural residence has been associated with worse health outcomes. AIM: To investigate whether men from rural settings with ED are associated with a higher risk of major adverse CV events (MACEs). METHODS: A propensity-weighted retrospective cohort study was conducted with provincial health administrative databases. ED was defined as having at least 2 ED prescriptions filled within 1 year. MACE was defined as the first hospitalization for an episode of acute myocardial infarction, heart failure, or stroke that resulted in a hospital visit >24 hours. We classified study groups into ED urban, ED rural, no ED urban, and no ED rural. A multiple logistic regression model was used to determine the propensity score. Stabilized inverse propensity treatment weighting was then applied to the propensity score. OUTCOMES: A Cox proportional hazard model was used to examine our primary outcome of time to a MACE. RESULTS: The median time to a MACE was 2731, 2635, 2441, and 2508 days for ED urban (n = 32 341), ED rural (n = 18 025), no ED rural (n = 146 358), and no ED urban (n = 233 897), respectively. The cohort with ED had a higher proportion of a MACE at 8.94% (n = 4503), as opposed to 4.58% (n = 17 416) for the group without ED. As compared with no ED urban, no ED rural was associated with higher risks of a MACE in stabilized time-varying comodels based on inverse probability treatment weighting (hazard ratio, 1.06-1.08). ED rural was associated with significantly higher risks of a MACE vs no ED rural, with the strength of the effect estimates increasing over time (hazard ratio, 1.10-1.74). CLINICAL IMPLICATIONS: Findings highlight the need for physicians treating patients with ED to address CV risk factors for primary and secondary prevention of CV diseases. STRENGTHS AND LIMITATIONS: This is the most extensive retrospective study demonstrating that ED is an independent risk factor for MACE. Due to limitations in data, we were unable to assess certain comorbidities, including obesity and smoking. CONCLUSIONS: Our study confirms that ED is an independent risk factor for MACE. Rural men had a higher risk of MACE, with an even higher risk among those who reside rurally and are diagnosed with ED.
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».