Psychological Distress in Young Adults with Acute Myeloid Leukemia Undergoing Induction Chemotherapy
Notice bibliographique
Résumé
Introduction: Young adults (YAs), ages 18-39 years diagnosed with cancer have distinct physical, developmental, and psychosocial needs that are often unmet during oncologic treatment. In acute myeloid leukemia (AML), a disease affecting both younger and older adults, patients navigate several treatment intensity choices, and with intensive induction chemotherapy are often balancing a chance of cure with a risk of death. Furthermore, YAs with AML can have marked life disruptions with this unpredictable illness trajectory and prolonged induction hospitalization, further conflicting with normal development at this stage. Fundamentally different than solid tumors, we lack an understanding of the YA experience in AML induction compared to their older counterparts. This study explores patient-reported outcomes (PROs) including quality of life (QOL) and physical and psychological symptom burden among YAs undergoing induction chemotherapy. Methods: We conducted a secondary analysis of 160 patients with high-risk AML hospitalized to receive intensive chemotherapy who were enrolled in a randomized control trial of palliative care (PC) intervention versus standard oncology care. Patients with newly diagnosed, relapsed, or refractory AML receiving intensive treatment requiring a 4-6 week hospitalization were enrolled in the study. We used the Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu), the Edmonton Symptom Assessment System (ESAS), the Hospital Anxiety and Depression Scale (HADS), and the Post-Traumatic Stress Disorder (PTSD) Checklist to assess QOL, symptom burden, and psychological distress respectively. Assessments were administered at baseline, week-2, and week-4 following initiation of chemotherapy. We used descriptive statistics to compare PROs at baseline between YAs (< 40 years) and older adults. We used linear regression models controlling for PC intervention effect when examining the association between age (YAs versus older adults) and PROs at week-2. We used linear mixed effect models controlling for randomization to the PC intervention to assess the association between age and PROs longitudinally throughout the hospitalization. Results: Of the 160 patients with high-risk AML enrolled in this study, 14 (8.8%) were YAs < 40 years. Demographic characteristics highlight that the majority of YAs had relapsed AML (n=10, 71.4%) and there was a greater presence of racial and ethnic diversity compared to older adults. The baseline mean QOL score for YAs was 110.5 (SD 34.2). Overall, 57.1% (8/14) reported clinically significant anxiety and 50% (7/14) reported clinically significant PTSD symptoms at baseline. Fewer YA patients, 21.4% (3/14) reported clinically significant depression. Evaluation of PROs at week-2 nadir adjusted for randomization to the PC intervention, highlighted a significant lower QOL (β=-18.27; p=0.036), higher anxiety (β=2.72; p=0.048), and higher PTSD symptoms (β=10.34; p=0.007) for YAs compared to older adults. Longitudinal analyses exploring the impact of age on PROs across induction hospitalization demonstrated that YAs had consistently significant higher anxiety (β=3.66; p=0.024) and PTSD symptoms (β=15.64; p<0.001) compared to older adults [Figure 1]. Conclusions: For YAs with AML undergoing induction chemotherapy, anxiety and PTSD symptoms are highly prevalent both at baseline and longitudinally throughout the induction hospitalization. This demonstrates a continued unmet need of the significant psychological distress and intensified hospitalization experience for YAs compared to their older counterparts. Given that distress during induction hospitalization can be predictive of post-treatment outcomes, it is imperative to tailor integrated supportive care and psychosocial interventions for YAs with AML during induction chemotherapy. Disclosures Walker: Geron: Research Funding; Newave Pharmaceuticals: Research Funding. Bhatnagar:KaryoPharm Therapuetics: Research Funding; Cell Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; KITE: Membership on an entity's Board of Directors or advisory committees.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| 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) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».