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Enregistrement W2966106749 · doi:10.1111/jch.13634

From detection early in life to the primordial prevention of elevated blood pressure

2019· article· en· W2966106749 sur OpenAlexaff

Notice bibliographique

RevueJournal of Clinical Hypertension · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueBirth, Development, and Health
Établissements canadiensMcGill University Health Centre
Organismes subventionnairesSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Mots-clésBlood pressureLeft ventricular hypertrophyDiseasePregnancyMuscle hypertrophyPublic healthSystole

Résumé

récupéré en direct d'OpenAlex

Elevated blood pressure (BP) in children and adolescents is a public health concern. Childhood BP tracks into adulthood and is associated with cardiac and vascular damage, such as left ventricular hypertrophy and increased carotid intima-media thickness during both childhood and adulthood.1, 2 In the view of this evidence, prevention of adult cardiovascular disease (CVD) starting early in life, for example, during childhood, is advocated. One approach is the primordial prevention of CVD, which aims to prevent the development of elevated BP and other CVD risk factors since conception, for example, through improving maternal nutrition during pregnancy or reduction in salt intake among children.3, 4 Another approach, more clinically oriented, is through screening and treatment of elevated BP. However, the medical community remains divided on whether and when recommending screening in children and adolescents, mainly due to complex detection tools and a lack of evidence on the benefits and harms of universal screening.5-7 In the effort to simplify the detection of elevated BP in children and align to standards in adults, in the current issue of the Journal of Clinical Hypertension, Fan et al evaluated the performance of a simplified BP threshold (≥120/80 mm Hg) in identifying elevated BP in individuals aged 13-17 years.8 Using a rich dataset from the National Health and Nutrition Examination Survey, the authors concluded that the simplified threshold performed well in identifying elevated BP compared with traditional thresholds based on age-, sex-, and height-specific percentiles. Indeed, the simplified threshold had perfect specificity overall and across subgroups defined based on age, sex, or age- and sex-specific height percentiles, thus attenuating the risks related to false-positives and overdetection (eg, anxiety, stress, extra time, and financial resources for diagnosis confirmation). Sensitivity varied from 40% to 100%, depending on age and height. However, the positive predictive values and negative predictive values of the simplified threshold were above 90% in all age- and height-specific subgroups. The strengths of this paper are notably the population-based large sample size, which facilitates generalizability of findings, and the good quality BP measurement based on multiple readings. We congratulate Fan et al for their study, which advances the knowledge on the development and accuracy of user-friendly tools to help improve recognition of elevated BP in the pediatric age group. Simplifying the screening process and agreeing on simple, easy-to-remember, hypertension thresholds will indeed facilitate the uptake of screening in practice, assuming that screening in children is useful. However, when a child has elevated BP, pediatricians face a series of questions regarding what other investigations should be conducted (eg, ambulatory BP measurement, etiology assessment, cardiac or vascular echography) or which therapy would be most effective and safest on the long-term (eg, lifestyle measures, drug therapy, or combination of both) to decrease adult BP, subclinical, or manifest CVD.6 Further, universal screening of elevated BP starting in childhood remains highly challenged. According to the US Preventive Services Task Force (USPSTF), “current evidence is insufficient to assess the balance of benefits and harms of screening for primary hypertension in asymptomatic children and adolescents to prevent subsequent cardiovascular disease in childhood or adulthood.”9 Until more evidence becomes available, targeted screening of at-risk individuals, such as those exposed to prematurity or obesity, rather than universal screening, is probably preferable.5 Considering these open questions on the benefits of early detection, should we rather concentrate our efforts toward the primordial prevention of elevated BP? From a public health perspective, several arguments exist in favor of this shift in paradigm. Firstly, acting early in life, when diet and other lifestyle preferences are formed, may influence CVD risk behaviors across the life course.3, 10 Secondly, health promotion and primordial prevention strategies can target multiple CVD risk factors simultaneously. Thirdly, within a Developmental Origins of Health and Disease (DOHaD) framework, interventions during critical periods of development may have long-term impact on programming BP trajectories and cardiometabolic health.11 Nonetheless, as for screening, stronger evidence is needed to guide primordial prevention policy. The authors have no conflict of interest to disclose.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,213
Score d'incertitude au seuil0,266

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,063
Tête enseignante GPT0,362
Écart entre enseignants0,299 · 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 tête enseignante, 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

Citations2
Publié2019
Routes d'admission1
Résumé présentoui

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