Impact of pre-transplant anxiety and depression on outcomes of AML patients after allogeneic transplantation
Notice bibliographique
Résumé
Abstract Introduction: Allogeneic stem cell transplantation (Allo-SCT) in Acute Myeloid Leukemia (AML) is an important part of the treatment paradigm for those who are eligible for transplantation. Depression and anxiety symptoms are commonly seen prior to Allo-SCT. Prior studies suggest that patients with depression pre-transplant have shorter survival and worse outcomes. This retrospective study investigated the impact of pre-transplant depression and anxiety on outcomes of AML patients status post (s/p) Allo-SCT. Methods: A retrospective review included 115 adult patients with AML s/p Allo-SCT from 2022 to 2024 at the University of Kansas Medical Center. Our bone marrow transplant program includes an embedded psychology-oncology team with 2 FTEs. Trainees are also available who help with inpatient and outpatient evaluations. This team rounds with the leukemia and transplant teams and formally evaluates all patients prior to allo-SCT. Assessments for depression, anxiety, and cognitive function are completed during the pre-transplant evaluation. Severity of depression, anxiety and cognitive function were evaluated using the patient health questionnaire-9 (PHQ-9), general anxiety disorder- 7 (GAD-7) and the Montreal Cognitive Assessment (MoCA). These scores were thus available on chart review, and the most recent scores prior to transplant were recorded. PHQ-9 score of 0-4 indicated no depression, 5-9 mild depression, 10-14 moderate depression, 15-19 moderately severe depression, and 20+ severe depression. GAD-7 score of 0-4 indicated no anxiety, 5-9 mild anxiety, 10-14 moderate anxiety, 15+ severe anxiety on GAD-7. MoCA assessment for cognitive function indicated normal (score of 26+) or cognitive impairment of mild (18-25), moderate (10-17) or severe (<10) degree. The Kaplan-Meier model was used to evaluate overall survival. Survival outcomes were compared using the log-rank test. For continuous independent variables, comparisons of mean responses were assessed using an independent two-sample t-test or multiple linear regression, as appropriate. To evaluate associations between categorical independent variables and baseline characteristics, Pearson's Chi-squared test was used. Results: Most patients were white/Caucasian (90%), median age was 61 years old (20-75) and 51% were males. Most common AML subtype was AML with mutated NPM1 (21.4%), and majority were in CR1 prior to transplant (70.7%). The median PHQ-9 score was 3 (0-17) and GAD-7 score was 1 (0-16). 24% had mild depression, 9.5% had moderate depression, 1.7% had moderately severe depression, and 65% had no depression. No severe depression was seen. 14% had mild anxiety, 7.8% had moderate anxiety, 1.7% had severe anxiety, and 77% had no anxiety. 27% of patients were on an anti-depressant/anti-anxiety agent 30 days prior to allo-SCT. The estimated 3-year overall survival (OS) for the total population was 72% (95% CI 63-84) and progression free survival (PFS) was 67% (95% CI 53-85). The most common cause of death was disease progression. When comparing patients by the severity of depression, anxiety and cognitive impairment, there was no significant association in OS (p= 0.52, 0.63, 0.50 respectively). This was similarly seen in PFS when comparing patients by their severity of depression, anxiety and cognitive impairment (p= 0.72, 0.12, 0.06). No association was seen between grade of aGVHD and severity of depression, anxiety, and cognitive impairment (p= 0.47, 0.82, 1.0 respectively). However, there was an association seen between depression severity and having any grade aGVHD (p=0.041). Conclusion: Although prior literature has suggested worse outcomes with patients with depression prior to allo-SCT, our retrospective study does not support this. Increased severity of depression, anxiety or cognitive impairment did not translate to worse outcomes. This could be due to the extensive support from psycho-oncology evaluation, intervention and recommendations, as having a dedicated psychology-oncology team for BMT is uncommon. An association between incidence of aGVHD and severity of depression was seen, which could be an area of further investigation and improvement. Our data suggests that the presence of anxiety and/or depression should not exclude a patient from proceeding with allo-SCT.
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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 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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) | 0,002 | 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 ».