12566 Adult Growth Hormone Deficiency, Replacement Therapy Use, and IGF1 Levels in Association with Physical, Psychosocial, and Neurocognitive Outcomes Among Childhood Cancer Survivors
Notice bibliographique
Résumé
Abstract Disclosure: T. Yoshida: None. J.L. Baedke: None. H. Wang: None. C.H. Yu: None. C.L. Wilson: None. D.A. Mulrooney: None. S.B. Dixon: None. I. Huang: None. T.M. Brinkman: None. K.R. Krull: None. S. Mostoufi-Moab: None. J. Miguel Martínez: None. K.K. Ness: None. M.M. Hudson: None. Y. Yasui: None. A. Delaney: None. Background: Adult growth hormone deficiency (aGHD) is a common and often untreated late effect among childhood cancer survivors. Untreated aGHD likely adds to the burden of health outcomes in survivors already experiencing cancer treatment related late toxicities. As comprehensive data on the consequences of untreated aGHD in survivors are scarce, we assessed the clinical impact of untreated aGHD among survivors, together with socioeconomic factors as potential contributing factors, utilizing a large, clinically characterized cohort of childhood cancer survivors. Methods: 3902 five-year survivors ≥ 18 years old [median (25th-75th percentile) age, 31.7y (25.2-40.0); age at cancer diagnosis 8.1y (3.5-13.6); 47.5% female] were examined. We assessed the: 1) proportion of survivors with aGHD on GH therapy (GHT); 2) association between GHT and socioeconomic factors (e.g., household income, area deprivation index) by multivariable logistic regression; and 3) associations between age- and sex-adjusted insulin-like growth factor 1 (IGF1) z-score and prevalence of clinically-assessed (i.e., body composition, metabolic/cardiovascular factors, neurocognitive function) and self-reported [i.e., quality of life (QoL), emotional symptom] outcomes by multivariable logistic regression with trend test, adjusting for potential confounders (e.g., radiation to the hypothalamic-pituitary region). Results: aGHD was observed in 9.1% (354/3902) of survivors; among them, 9.0% (32/354) were on GHT. Survivors on GHT were more likely to have higher household income, hold health insurance, and reside in less socioeconomically disadvantaged neighborhoods, compared to survivors with untreated aGHD. Socioeconomic factors had significant independent associations with GHT use in multivariable analysis [e.g., annual household income <$40,000 vs. ≥$80,000, adjusted odds ratio (aOR) of GHT use, 0.28; 95% confidence interval (CI), 0.08-0.86]. Lower IGF1 z-score (IGF1 z-score ≤ -2, vs. IGF1 z-score >0) was associated with a higher prevalence of various outcomes (aOR, 95% CI), such as abdominal obesity (2.56, 1.98-5.26), weak handgrip strength (2.49, 1.65-3.73), hypertension (1.47, 1.06-2.04), abnormal glucose metabolism (2.07, 1.49-2.86), impaired health-related QoL (e.g., physical functioning, 1.97, 1.35-2.86), depression (1.58, 1.06-2.33), and impairment in multiple neurocognitive functions (e.g., verbal reasoning, a global measure of intelligence, 2.22, 1.49-3.30) with a dose-response relationship. Conclusions: Our data support a negative impact of untreated aGHD on physical, psychosocial, and neurocognitive outcomes among survivors and suggest the potential of GHT to improve QoL of survivors with aGHD. As lower socioeconomic status may affect survivors’ access to GHT, this disparity should be considered in interventions evaluating GHT for survivors with aGHD. Presentation: 6/3/2024
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 | 0,001 |
| 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 ».