Evaluation of the Impact of Autologous Hematopoietic Stem Cell Transplantation on the Quality of Life of Older Patients with Lymphoma
Bibliographic record
Abstract
High-dose chemotherapy (HDT) followed by autologous hematopoietic stem cell transplantation (AHSCT) improves survival in patients with chemosensitive non-Hodgkin lymphoma (NHL). Determination of the Hematopoietic Cell Transplantation Comorbidity Index (HCT-CI) has contributed to improve patient selection while allowing for prediction of nonrelapse mortality. We previously demonstrated the efficacy and safety of AHSCT in a cohort of older patients with chemosensitive NHL. Quality of life following AHSCT still has not been widely evaluated. The goal of this study was to assess the long-term quality of life of elderly patients surviving AHSCT. This single-center, Research and Ethics Committee-approved study investigated QoL in survivors of AHSCT for the treatment of NHL in a cohort of older patients. Inclusion criteria were defined as patients age ≥60 years who underwent AHSCT for NHL between January 1, 2008, and January 1, 2015, at our center. Fifty-nine patients from the original cohort of 90 survived at a median of 50 months post-AHSCT. Forty-seven (79.7%) of those patients agreed to complete the QoL assessment questionnaires after the transplantation and are included in this report. All patients provided signed informed consent. We used the EQ-5D instrument to assess mobility, self-care, usual activities, pain/discomfort, and anxiety/depression and the Functional Assessment of Cancer Therapy-Bone Marrow Transplant (FACT-BMT) questionnaire to assess physical, social/family, emotional, and functional well-being and BMT-specific concerns. With both tools, a higher score indicates better QoL. Fifteen percent of patients were in relapse at the time of the QoL assessment. In the EQ-5D, few patients (9%) reported severe impairment, which requires significant negative effects in 4 or 5 domains. Lower Karnofsky Performance Status (KPS) score at the time of transplantation was negatively correlated with mobility (P= .001), self-care (P= .001), and usual activities (P= .007) dysfunction. Anxiety was significant for patients in relapsed after transplantation (P= .002). FACT-BMT questionnaire results demonstrated that physical, social, and emotional well-being were all well preserved after the transplantation, whereas functional well-being was more variable among patients. Relapse was associated with impaired functional well-being (P= .007) and lower total FACT-BMT score (P= .014). Other comparators, including the conditioning regimen, sex, age subgroups (<65 or ≥65 years), HCT-CI score, and disease status at transplantation, did not impact any of these outcomes. This study demonstrates that physical, social, and functional well-being are preserved in older patients following AHSCT. Low KPS score before AHSCT is a predictor of disability at distance from AHSCT. Relapse following AHSCT remains the most significant impediment to maintaining a good QoL. Innovative interventions to improve performance status before transplantation and measures to prevent relapse thereafter should be investigated to improve survival and QoL.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".