(205) Erectile Dysfunction is an Independent Risk Factor for Major Adverse Cardiovascular Events
Notice bibliographique
Résumé
Abstract Introduction Erectile dysfunction (ED) and cardiovascular disease share similar risk profiles which include: aging, hypertension, diabetes, smoking, obesity, and dyslipidemia. Previous literature has suggested ED as a potential harbinger of future cardiovascular disease. Objective As such, we sought to investigate the association between ED and major adverse cardiovascular events (MACE) using a large population based database. As a secondary objective, we sought to investigate the relationship of place of residence (rural or urban) in regards to the incidence of MACE. Methods A propensity-weighted, retrospective cohort study was conducted by accessing provincial health administrative databases. Eligibility criteria included men 18 years and older, with no prior ED or MACE, who had at least 1 year of provincial health coverage from their index date between June 1st 1996 to March 31st 2018. ED was defined as having at least two ED prescriptions filled within one year (including oral, intraurethral, and/or injection therapies). MACE was defined as myocardial infarction, coronary revascularization procedures, ischemic stroke, or hospitalizations for heart failure. We then classified study groups into ED Urban, ED Rural, No ED Urban and No ED Rural. Multiple logistic regression model that included age categories, socioeconomic status, index year, diabetes, hypertension, dyslipidemia and renal disease was used to determine the propensity score. Stabilized inverse propensity treatment weighting was then applied to the propensity score. 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 2721, 2620, 2520, and 2438 days in the ED Urban (N=32,138), ED Rural (N=17,821), No ED Rural (N=145,209) and No ED Urban (N=233,073) study groups, respectfully. The ED Rural, ED Urban and No ED Rural study groups had a 54% (Hazard Ratio [HR] 1.54, 95% CI [1.45 – 1.63]), 26% (HR 1.26, 95% CI[1.20 – 1.32]) and 14% (HR 1.14, 95% CI[1.11 – 1.18]) higher risk of a MACE event as compared to the No ED Urban group, in weighted analyses, respectfully. Among individuals with ED, men from a rural setting had a 22% (HR 1.22, 95% CI[1.14 – 1.32]) higher risk of a MACE event, as compared from an urban setting. Conclusions Our study demonstrates that men diagnosed with ED had a higher risk of MACE as compared to controls. ED is demonstrated to be an independent risk factor for MACE when controlling for comorbidities. In addition, men residing in rural communities had a higher risk of MACE as compared to other urban counterparts. It is imperative for health care professionals who manage patients with ED to discuss the risk of future cardiovascular disease and identify comorbid conditions to mitigate risk. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: Boston Scientific.
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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».