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Enregistrement W2983969540 · doi:10.1182/blood-2019-122580

Impact of Neurocognitive Dysfunction in a Veteran Population Undergoing First Outpatient Autologous Hematopoietic Stem Cell Transplantation for Multiple Myeloma

2019· article· en· W2983969540 sur OpenAlexaboutno aff
Shakira J. Grant, Lindsay M. Hannan, Jessica L. Brand, Robert E. Richard, Daniel Wu, Solomon A. Graf, Jonathan Grim, Nicholas Burwick, Thomas R. Chauncey

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueCancer-related cognitive impairment studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineMultiple myelomaAutologous stem-cell transplantationTransplantationPopulationHematopoietic stem cell transplantationInternal medicineCohortDepression (economics)Physical therapy

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION Older adults (age > 70 years) with multiple myeloma (MM) are at higher risk of early mortality partly due to age-related factors, including impairments of cognition and function. To date, few studies have investigated the prevalence of neurocognitive impairment prior to autologous hematopoietic stem cell transplantation (ASCT) and its impact on post-transplant outcomes. We hypothesize, for patients with MM undergoing first outpatient ASCT, age >70 years or the presence of comorbid neurocognitive dysfunction decreases the time to first unplanned hospitalization occurring within 30 days post ASCT, and increases the overall length of stay (LOS) on the transplant service. METHODS We conducted a retrospective cohort study of 76 consecutive patients who underwent first ASCT at the Puget Sound Veterans Health Administration, for MM between January 2017 and December 2018. Patients with the following were excluded: amyloidosis, anaplastic plasmacytoma, and POEMS. Comprehensive psychological evaluations performed within 30 days prior to ASCT included: cognitive screening [Montreal Cognitive Assessment (MOCA)], depression [Patient Health Questionnaire-9 (PHQ-9)], and anxiety [General Anxiety Disorder- 7 (GAD-7)]. Functional status was assessed by activities of daily living (ADLS) and instrumental activities of daily living (IADLS). Data sources for table 1, included the institutional stem cell transplant database, and comprehensive electronic medical record review for each patient. This included vital status as of 7/15/19. Total LOS on the transplant service was measured as the time from arrival until discharge post-engraftment. For eligible patients, all portions of ASCT, including, stem cell collection, conditioning and stem cell infusion were completed as an outpatient. Statistical analyses were performed using SAS version 9.4. Kaplan Meier curves were generated to explore the association of cognitive scores and 1) time until first unplanned hospitalization within 30 days post-ASCT and 2) outpatient LOS on the stem cell transplant service. RESULTS Of the 76 patients undergoing ASCT, median age was 67 (range 40-79), 29% (22/76) were ≥ 70 years old . 67% (51/76) underwent ASCT within 1 year from diagnosis. The majority (73/76) scored ≥ 70 on a provider-assessed Karnofsky performance scale. Of those with MOCA scores available (n=64), impairments in cognition ranged from suspected mild cognitive impairment (MOCA 20-25) to probable cognitive impairment (MOCA 15-19), in 50% (32/64) and 6%( 8/64) of patients respectively. Those with MOCA scores< 26 were more likely to have ≥ 1 IADL impairment compared to those with scores ≥ 26 (Fisher Exact p=0.014). A total of 19 patients underwent planned hospitalization for conditioning followed by stem cell rescue, and therefore were not included in our analysis of unplanned hospitalization. Of the 57% (33/59) of patients with an unplanned inpatient admission within 30 days post-ASCT, the median time to first admission was 11 days. A total of 61% (17/28) and 53%(10/19) patients with MOCA <26 and ≥26, respectively, required hospitalization post-ASCT (log-rank p-value=0.70). There was no difference in the time to first unplanned hospitalization by age (<70, ≥70 years; log-rank p-value 0.58). Median time spent on the transplant service was 78 days (range 30 - 118). Suspected cognitive impairment did not influence time on the outpatient transplant service (median: 79 days MOCA <26 and 77 days MOCA ≥ 26, log-rank p-value=0.38). Median number of days on the transplant service differed by age group (log-rank p-value=0.02),) 76 vs 79 days in those age <70 and ≥70 respectively. CONCLUSION We found a high prevalence of cognitive impairment in MM patients undergoing first ASCT. However, we found no significant association between cognitive impairment or age and 30-day unplanned hospitalization. Older age (>70 years) was associated with a longer transplant service LOS. Thus, select older patients may have higher utilization of hospital resources post-ASCT compared to their younger counterparts. However confounding variables and selection bias may have influenced these preliminary results and additional analyses are ongoing. Future studies will evaluate the impact of age and pre-transplant neurocognitive function on additional outcomes, including longitudinal neurocognitive deterioration and impact on long-term morbidity and mortality. Disclosures Graf: TG Therapeutics: Research Funding; AstraZeneca: Research Funding; BeiGene: Research Funding.

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)0,001
score de la tête « metaresearch » (Gemma)0,002
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 enseignants0,011
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,014
Tête enseignante GPT0,257
Écart entre enseignants0,243 · 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
Publié2019
Routes d'admission1
Résumé présentoui

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