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Enregistrement W2318897897

Prognostic interactions between cardiovascular risk factors.

2014· article· en· W2318897897 sur OpenAlexaboutno aff
Julie K.K. Vishram

Notice bibliographique

RevuePubMed · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueBlood Pressure and Hypertension Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineRisk factorStroke (engine)Blood pressureDyslipidemiaDiseasePopulationMetabolic syndromeInternal medicineObesityEnvironmental health
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Cardiovascular disease (CVD) still remains the leading cause of death worldwide, especially in Europe where the prevalence of hypertension is 60% higher compared with the United States and Canada and the clustering of hypertension and the metabolic disorders central adiposity, dyslipidemia and dysglycemia, known as the metabolic syndrome (MetS), affects 25% of the population. Despite the great initiatives of many primary prevention strategies, risk factor control is still poor. In an attempt to optimize risk factor control, two issues among others have been of great debate in the past decade: (1) the superiority of systolic blood pressure (SBP) as a risk factor in the elderly; and (2) the clinical relevance of MetS. However, in order to further elucidate these issues, we need to get a deeper understanding of how the cardiovascular risk factors interact with one another. Thus, prognostic interactions were used in the present PhD thesis to test the following hypotheses: Primary hypotheses: (1) The superiority of SBP over diastolic blood pressure (DBP) as a risk factor occurs at an earlier age if an individual presents with other cardiovascular risk factors. (2) The prevalence and prognostic significance of MetS differ according to age and gender. The first hypothesis is explored in paper 1 (for the endpoint fatal and nonfatal (total) stroke) and paper II (for mortality from coronary heart disease (CHD), stroke, and all-causes), while the second hypothesis is explored in paper III (for total CHD, total stroke, and CVD mortality). METHODS: Using 34-42 cohorts from the MORGAM Project with baseline between 1982-1997, approximately 68 000-86 000 apparently healthy men and women aged 19-78 years, without CVD (papers I-III) and not receiving antihypertensive treatment (papers I-II) were included. During 12-13 years of follow-up, the incident events of total stroke were up to 1957, of total CHD were 4368, and of all-cause mortality were 7903. In papers I-II, event risk was analyzed by multivariate-adjusted Cox regressions including SBP and DBP simultaneously, as well as other cardiovascular risk factors and any significant interactions between variables. In paper III, MetS prevalence and prognostic significance was considered according to modified definitions of the International Diabetes Federation (IDF) and the revised National Cholesterol Education Program - Adult Treatment Panel (NCEP-ATP III), and the influence of possible interactions between age and gender on MetS prevalence and prognostic significance was explored using logistic as well as multivariate-adjusted Cox regressions. MetS was analyzed separately for men and women in various age-groups. RESULTS: Taking into account the significant interactions between cardiovascular risk factors, the results were as follows: Papers I-II: Age-related shifts were shown for the independent relative importance of SBP and DBP as risk factors for stroke (both total and fatal) and all-cause mortality, but not for CHD mortality where SBP remained significant in all ages. The prognostic shift to the superiority of SBP was significantly established in the 6th decade, and only for stroke mortality was this shift influenced by other cardiovascular risk factors, such that it occurred at an earlier age in men from high-risk countries and with a higher cholesterol level. However, from mid-age and onwards, a potential harmful effect of low DBP for the risk of total stroke and all-cause mortality was present. Paper III: The prevalence and prognostic significance of MetS showed great variations among countries and were influenced by both age and gender. With older age, the prevalence of MetS increased 5-fold in women from ages 19-39 years to 60-78 years and 2-fold in men. The CVD risk associated with MetS was (1) higher in women than in men especially when using the NCEP-ATP III criteria, and (2) independently of age in men whereas in women total CHD risk decreased significantly and the total stroke risk tended to increase (although not significant) with older age. CONCLUSION: The present thesis elucidates through prognostic interactions the complex interplay between cardiovascular risk factors. Our results indicate the independent prognostic superiority of SBP in elderly Europeans, and only for stroke mortality risk this prognostic superiority of SBP was influenced by other cardiovascular risk factors such that it was established at an earlier age. The prevalence and prognostic significance of MetS differed according to both age and gender. In women, MetS was associated with higher relative event risks and the MetS associated relative CHD risk decreased with advancing age.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,023
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,027

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,023
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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.

Tête enseignante Opus0,048
Tête enseignante GPT0,241
Écart entre enseignants0,193 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations29
Publié2014
Routes d'admission1
Résumé présentoui

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