Cardiovascular risk and missed opportunities for treatment in patients with type 2 diabetes presenting with very premature coronary artery disease
Notice bibliographique
Résumé
Abstract Background Type 2 diabetes mellitus (T2D) is a major cardiovascular risk factor (CVRF), and comprehensive risk factor management reduces the incidence of cardiovascular events. Purpose To assess 1) prevalence of T2D among patients presenting with newly diagnosed very premature coronary artery disease (CAD) and its impact on CVRFs and extent of atherosclerosis; 2) effectiveness of glucose and lipid control in T2D patients before presentation with CAD. Methods We studied patients with angiographically proven CAD with stenosis of ≥50% who presented at the age of ≤50 years for males and ≤55 years for females. Diabetes was defined as fasting plasma glucose ≥7 mmol/L, haemoglobin (Hb)A1C ≥6.5% or diagnosis or treatment of T2D before or at presentation with CAD. CVRFs were defined as dyslipidemia, hypertension, obesity, current smoking, and family history of premature cardiovascular disease (CVD). Values are reported as mean (±SD), median (interquartile range) or percentages. Results From 417 premature CAD patients, 112 (26.9%) had T2D at the time of presentation with CAD. In 27 (24.1%) patients, T2D was newly diagnosed at presentation with CAD. Age of diagnosis of T2D was 41.3 (±6.9) years old. Patients with T2D had higher prevalence of dyslipidemia (83.0% vs 63.3%, p<0.001), hypertension (65.2% vs 40.3%, p<0.001), and obesity (56.3% vs 34.8%, p<0.001), higher cumulative number of CVRFs per person (2.8 (±1.2) vs 2.0 (±1.2), p<0.001) and less favourable lipid profiles, with higher levels of triglycerides (3.3 (2.1–4.7) vs 2.3 (1.5–3.4) mmol/L, p=0.001) and lower HDL-cholesterol (0.9 (±0.3) vs 1.1 (±0.3) mmol/L). Prevalence of smoking (32.1% vs 24.9%, p=0.14) and family history of premature CVD (43.8% vs 39.7%, p=0.45), levels of LDL-cholesterol (3.7 (±1.4) vs 3.8 (±1.2) mmol/L, p=0.23) and lipoprotein(a) (206 (99–819) vs 200 (99–700) mg/L, p=0.57) were not significantly different between groups. T2D patients had a greater prevalence of 3-vessel disease (35.7% vs. 22.2%, p=0.006) and were less likely to receive revascularization (70.5% vs 83.9%, p=0.002). Prior to presentation with CAD, 31 (27.7%) of T2D patients received insulin, 42 (37.5%) received oral hypoglycemic drugs, and 12 (10.7%) received no pharmacological treatment for diabetes. Only 23 (27.1%) of them achieved HbA1C ≤7% at the time of presentation with CAD (Figure 1). Among all T2D patients, 35 (31.3%) received treatment with statins and 16 (14.3%) reached guideline-recommended lipid targets of LDL cholesterol ≤2 mmol/L and/or non-HDL cholesterol ≤2.6 mmol/L. Conclusion Among patients with very premature CAD, T2D was common, was previously unrecognized in up to one quarter, and was associated with a greater burden of CVRFs and more extensive CAD at presentation. Few patients with T2D achieved guideline-recommended lipid or glucose targets. These data point to the need for improvements in screening and comprehensive CVRF treatment of T2D in order to reduce the burden of premature CAD. Figure 1 Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): Canadian Institutes of Health Research. St. Paul's Hospital Foundation and the Vancouver General Hospital Foundation
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 | 0,005 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 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 ».