OR03-5 Fractures during Bisphosphonate Therapy after Orthotopic Liver Transplantation: Incidence and Predictors
Notice bibliographique
Résumé
Introduction: Bone loss is significant within the first 3 to 6 months after orthotopic liver transplantation (OLT) and is associated with high rates of fractures. Incident fractures after OLT are correlated with substantial decreased quality of life. To attempt preventing post-transplant fractures, the cornerstone of therapeutic management is bisphosphonates (BP). Objectives: The main objective of our study was to determine the incidence of fractures during the first three years after a first OLT in patients receiving BP. The secondary objective was to study the predictors of fractures in these patients. Methods: We conducted a retrospective study in a cohort of patients who underwent OLT between January 2012 and September 2016 at our center. All adult recipients who received BP after OLT were included in the study. Clinical, laboratory, bone mineral density (BMD) and fracture data were extracted from electronic medical records. Vertebral and non-vertebral fractures were included and all fractures were confirmed by a radiologist. Results: During the study period, 304 OLT were performed and 158 patients (median age 57 y.o.; 29.8% female) met the inclusion criteria. Prior to OLT, 14 patients (8.9%) met the criteria for osteoporosis (T-score ≤ -2.5) and a total of 24 patients (15.2%) had a past history of fractures (vertebral and non-vertebral). The cumulative incidence of fractures after OLT in patients treated with BP was 19.1% (26 patients) at 36 months, with a median time to first fracture of 6 months (Q1=2, Q3=20 months). Predictive factors of fractures in univariate analyses included: age > 60 y.o. (HR 2.46; 95% CI, 1.14-5.33), new onset diabetes after transplantation (NODAT) (HR 2.38; 95% CI, 1.10-5.15), narcotic use at 6 months after OLT (HR 2.19; 95% CI, 1.00-4.77) and length of hospital stays in the first year (days) (HR 1.01; 95% CI, 1.00-1.01). Previous fragility fracture was not associated with higher risk of post-transplant fracture. Multivariate analysis confirmed that age > 60 y.o. (HR 2.66; 95% CI, 1.23-5.79; p=0.01), narcotic use (HR 2.65; 95% CI, 1.20-5.84; p=0.02) and NODAT (HR 2.68; 95% CI, 1.23-5.84; p=0.01) were significant independent risk factors for fractures. BMD was available before and after transplant in 34 patients and there was a statistically significant decrease in mean absolute BMD (g/cm2) at the femoral neck (-0.07 g/cm2 vs. -0.04 g/cm2; p=0.02) and total hip (-0.07 g/cm2 vs. -0.02 g/cm2; p=0.02) in patients with incident fractures compared to patients without fracture during follow-up. Conclusion: Fractures are a frequent complication after OLT even in patients preemptively treated with BP. Special attention should be paid to BP treated older patients, narcotic users and patients with NODAT in order to prevent fractures after OLT. Further studies are needed to identify the best therapeutic strategy in this population.
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 | 0,000 | 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) | 0,000 | 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 ».