Impact of Neurocognitive Dysfunction in a Veteran Population Undergoing First Outpatient Autologous Hematopoietic Stem Cell Transplantation for Multiple Myeloma
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".