OC06_10 Applicability of a Non-Laboratory- and a Laboratory Based Cardiovascular Disease Risk Score Across Seven Regions of the World
Notice bibliographique
Résumé
Cardiovascular diseases (CVDs) are a leading cause of morbidity and mortality in low-income countries including India. There is a need for effective, low-cost methods to prevent CVDs in rural India. One strategy is to identify and implement interventions at high-risk individuals using community health workers (CHWs). There is a paucity of CHW-based CVD intervention trials from low-income countries.We designed a multicenter, household-level, cluster-randomized trial with 1:1 allocation to intervention and control arms. The CHWs undertook a door-to-door survey and screened 5,699 households in 28 villages from 3 rural regions in India to identify at-risk households. The households were defined as those with ≥1 individual aged ≥35 years and at moderate or high risk for CVD based on the non–laboratory-based National Health and Nutrition Examination Survey score. All at-risk individuals were invited to attend a physician-led village clinic that provided a CVD risk reduction prescription and education about target risk factor levels for CVD control. All households in which at least 1 member at moderate to high risk for CVD had received a risk reduction prescription were eligible for randomization. Households randomized to the CHW-based intervention will receive 1 household visit by a CHW every 2 months, for 12 months. During these visits, CHWs will measure blood pressure, ascertain and reinforce adherence to prescribed therapies, and modify therapy to meet targets. Households randomized to the control arm do not receive CHW visits. At 12 months after randomization, we will evaluate 2 primary outcomes of systolic blood pressure and adherence to antihypertensive drugs and secondary outcomes of INTERHEART risk score, body mass index, and waist-to-hip ratios. At 18 to 24 months after randomization and 6 to 12 months after the last intervention, we will record these outcomes to evaluate sustainability of intervention.Community health workers screened a total of 5,033 households that included 9,248 individuals and identified 2,571 households with 3,784 at-risk individuals. We randomized 2,438 households (1,219 to intervention and 1,219 to control groups).Our large trial of CHWs in rural India will provide important information regarding a promising approach to primary prevention of CVDs.
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 | 0,001 |
| 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) | 0,000 | 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 ».