Pregnant women with IBD are more likely to be adherent to biologic therapies than other medications
Notice bibliographique
Résumé
BACKGROUND: There are differences in the efficacy and safety profiles of medications used to treat IBD that may impact a woman's perceived risk of medication exposure during pregnancy, potentially leading to medication non-adherence, poor disease-control and adverse pregnancy outcomes. AIM: To assess whether medication adherence patterns differ by drug class during pregnancy and influence birth outcomes for women with IBD. METHODS: Of 143 491 women, a validated case definition was used to identify 370 women with IBD in five administrative health databases in Alberta, Canada (2012-2015). Women who had ≥2 consecutive medications prescription for maintenance therapy for IBD in the year prior to pregnancy were included (n = 230). Prescription-based medication possession ratio ≥0.8 defined adherence. Chi-squared tests were used to compare adherence patterns by drug class and outcomes. RESULTS: Of the 159/230 women who were adherent during the year prior to pregnancy, 20 (12.6%; 95% CI: 8.2%, 18.8%) were not adherent and 21 (13.2%; 95% CI: 8.7%, 19.5%) discontinued their medications during pregnancy. Medication adherence during pregnancy differed significantly by drug class. A greater proportion of women on biologics (41.5%; 95% CI 32.9%, 50.7%) were adherent during pregnancy than women on thiopurines (22.9%; 95% CI 16.1%, 31.5%; P = 0.006); adherence was not significantly different for 5-aminosalicylates (35.6%; 95% CI 27.4%, 44.8%; P = 0.204). Women were more likely to be adherent to biologics (49.3%, 95% CI 37.3%, 61.3%) than thiopurines (20.9%; 95% CI 12.6%, 32.6%; P = 0.014) and 5-aminosalicylates (29.9%; 95% CI 19.9%, 42.1%; P = 0.030) in the first trimester. This was similar in the third trimester. In the second trimester, adherence pattern did not significantly differ by drug class (biologics vs thiopurines: P = 0.348; biologics vs 5-aminosalicylate: P = 0.999). Infants born to women with IBD (adherent: RR 1.58. 95% CI 1.02, 2.27; non-adherent: RR 1.32, 95% CI 0.97, 1.81) were more likely to be admitted into the neonatal intensive care unit than the general obstetric population, but this was not significantly different between women who were adherent or not adherent to their IBD medication (P = 0.711). CONCLUSION: Almost a quarter of women with IBD who were previously adherent to medical therapy were not adherent during pregnancy. Adherence pattern differed by drug class.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 ».