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Enregistrement W4405038107 · doi:10.1182/blood-2024-207178

Factors Associated with Early Quality of Life Response to Palliative Care during Hematopoietic Cell Transplantation

2024· article· en· W4405038107 sur OpenAlexaboutno aff
Richard Newcomb, Hermioni L. Amonoo, Alison R. Kavanaugh, James Fausto, Jason A. Webb, Joseph A. Greer, Jennifer S. Temel, Porsha Lark, Dustin J. Rabideau, Thomas W. LeBlanc, Stephanie J. Lee, Areej El‐Jawahri

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiquePalliative Care and End-of-Life Issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineAnxietyHospital Anxiety and Depression ScaleQuality of life (healthcare)TransplantationCoping (psychology)Palliative careRandomized controlled trialUnivariate analysisClinical trialInternal medicinePhysical therapyMultivariate analysisPsychiatry

Résumé

récupéré en direct d'OpenAlex

Background: Integrated specialty palliative care (PC) during hematopoietic cell transplantation (HCT) improves quality of life (QOL) and reduces physical and psychological symptom burden compared to usual HCT care. However, limited data exist on factors associated with early QOL response to PC during HCT. Objectives: We aimed to describe the association of patient, clinical, HCT, and PC visit characteristics and early QOL response to PC during HCT hospitalization. We additionally evaluated the association of longitudinal patient-reported QOL and coping and early QOL response to PC. Methods: We conducted secondary analyses of data from two randomized clinical trials of integrated PC and HCT care versus usual HCT care in adult patients with hematologic malignancies undergoing HCT. Patients completed self-reported assessments at the time of HCT admission. We measured patient-reported QOL (Functional Assessment of Cancer Therapy Bone Marrow Transplant [FACT-BMT]: emotional, functional, social, physical, BMT subscales), symptom burden (Edmonton Symptom Assessment Scale), anxiety and depression (Hospital Anxiety and Depression Scale), posttraumatic stress symptoms (PTSD Checklist), and coping (Brief COPE: categorized with composite approach-oriented and avoidant coping) at time of HCT admission, hematologic nadir (week-2), 3- and 6- months post HCT. During hospitalizations, PC clinicians completed weekly surveys documenting PC domains addressed during the PC visits. We defined early QOL response to PC as change in QOL (FACT-BMT Total score) from HCT admission to week-2 and used the median change in QOL in the study sample to define “high” and “low” responders to PC during HCT hospitalization. We used univariate logistic regression to identify patient, clinical, and HCT factors associated with being a high PC responder. We used linear mixed effect models to characterize QOL and coping trajectories by response to PC. Results: This analysis included 252 participants who received the PC intervention and completed study assessments at baseline and week-2. Most participants identified as male (54.8%) and White (78.7%). The most common diagnoses were multiple myeloma (32.3%) and acute leukemia (acute myeloid leukemia and acute lymphoblastic leukemia, 27.1%). 129 (51.2%) participants underwent autologous HCT. Of the 123 participants undergoing allogeneic HCT, 58 (47.2%) received myeloablative conditioning, and 65 (52.3%) received reduced intensity conditioning. The median change in QOL from HCT admission to week-2 was -10.7 (range: -77.0, +52.0). High PC responders (n=126) reported mean improvements in FACT emotional (+2.3 v -0.7, p<0.001), social (+1.1 v -1.2, p<0.001), functional (+1.1 v -6.3, p<0.001), and BMT subscales (+0.8 v -6.9, p<0.001) and a lower decline in FACT physical wellbeing (-1.4 v -10.2, p<0.001) compared to low PC responders (n=126). Minoritized (non-White) race (OR=3.2, 95% CI=[1.7,6.3], p<0.001), lower baseline QOL (OR=0.97, CI=[0.96,0.99], p<0.001), and higher baseline physical symptom burden (OR=1.02, CI=[1.0,1.04], p=0.004) and PTSD symptoms (OR=1.04, CI=[1.01,1.07], p=0.008) were associated with being a high PC responder. Diagnosis, conditioning intensity, and baseline depression and anxiety symptoms were not associated with early response to PC. During HCT hospitalization, high PC responders had earlier and more frequent PC visits focused on coping, HCT education, and symptom education compared to low PC responders based on the PC clinician survey data. There were no differences in QOL at 3 and 6 months post-HCT among high and low PC responders. High PC responders reported higher use of approach-oriented coping at week-2 (mean difference=2.5, CI=[0.9,4.1], p=0.002), 3 months (difference=1.7, CI=[0.1,3.3], p=0.04), and 6 months post-HCT (difference=2.6, CI=[0.8,4.4], p=0.003). Conclusions: Minoritized race and worse pre-HCT QOL and symptom burden were associated with early QOL response during HCT hospitalization. High PC responders had more frequent and earlier PC visits focused on coping and symptom education and maintained higher approach-oriented coping up to six months post-HCT. These findings provide helpful insights into factors associated with early QOL response to PC intervention in HCT and may guide development of future scalable supportive care interventions to improve QOL during HCT hospitalization.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,121
Tête enseignante GPT0,385
Écart entre enseignants0,264 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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