Notice bibliographique
Résumé
Questions: What is the relationship between C-reactive protein (CRP), the metabolic syndrome, and incident cardiovascular events? Does CRP add prognostic information to cardiovascular risk prediction among people with varying components of the metabolic syndrome? Population: American women aged 45 years or older with no prior history of cardiovascular disease or cancer included in the Women’s Health Study (WHS) (a primary prevention trial studying aspirin and vitamin E). Women on hormone replacement therapy or who had a diagnosis of diabetes were excluded. Design and methods: In a prospective cohort study with an eight-year follow-up period, 14 719 women were followed. Baseline frozen blood samples were thawed and assayed for CRP, triglycerides and HDL-cholesterol levels. The Adult Treatment Panel (ATP) III criteria for the metabolic syndrome were modifi ed by the investigators due to the lack of fasting glucose and waist circumference measurements at baseline. The criteria for the metabolic syndrome used in this analysis were three or more of the following components: (1) triglycerides $150 mg/dl (1.7 mmol/l), (2) HDL-cholesterol,50 mg/dl (1.29 mmol/l), (3) blood pressure .135/85 mmHg, (4) obesity as defi ned by a body mass index (BMI) .26.7 kg/m 2 was used as an approximation for a waist circumference of .88 cm (a BMI of 26.7 kg/m 2 correlated to the same percentile of BMI as did a waist circumference of 88 cm measured at year 6), and (5) diagnosis of incident type 2 diabetes during study follow-up (as an approximation for a fasting glucose $110 mg/dl (6.11 mmol/l)). Study subjects were classifi ed as having 0, 1, 2, 3, 4 or 5 components of the metabolic syndrome and median CRP levels within each of these groups were determined. The primary outcomes of interest were myocardial infarction, stroke, coronary revascularization or cardiovascular (CV) death, and logistic regression analysis was used to determine if a CRP level .3 mg/l was an independent predictor of CV events over and above metabolic syndrome factors. This CRP cutpoint of 3 mg/l was used to distinguish high- and low-risk groups based on the recommendations of the Centers for Disease Control and Prevention. Eight-year cardiovascular event-free survival curves were constructed comparing cohorts with CRP levels above and below 3 mg/l and comparing those women with and without three or more components of the metabolic syndrome. Results: Loss to follow-up was not reported. The prevalence of the metabolic syndrome was 24.4% (95% confi dence interval (CI) 23.6-25.2). CRP levels increased progressively among women with an increasing number of metabolic syndrome components, compared with women who did not have any features of the metabolic syndrome. The median CRP increased from 0.68 to 1.09, 1.93, 3.01, 3.88 and 5.75 mg/l for those with 0, 1, 2, 3, 4 and 5 components of the metabolic syndrome, respectively (p for trend,0.0001). With increasing criteria of the metabolic syndrome, CRP was an independent predictor of future CV events. Among women with the metabolic syndrome, the age-adjusted incidence rates of CV events were 3.4 and 5.9 events per 1000 person-years for those with baseline CRP levels less than or greater than 3.0 mg/l, respectively (p, 0.001). The age-adjusted relative risks of future cardiovascular events for women in the low-CRP/no metabolic syndrome, high-CRP/no metabolic syndrome, low-CRP/yes metabolic syndrome, and high-CRP/yes metabolic syndrome groups were 1.0 (reference group), 1.5 (95% CI 1.0-2.2), 2.3 (1.6-3.3), and 4.0 (3.0-5.4), respectively. Conclusion: CRP is an independent predictor of future CV events among women with and without the metabolic syndrome.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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) | 0,003 | 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 ».