Feasibility and acceptability of integrated cardiac rehabilitation in outpatients referred for autologous bone marrow transplantation.
Bibliographic record
Abstract
139 Background: High-dose chemotherapy (HDCT) and bone marrow/hematopoietic cell transplantation (BMT) is established therapy for many malignancies. While advances in transplant practise have led to improved cancer-specific outcomes, HDCT negatively impacts healthy organ function via direct effects (ie high-dose cytotoxic injury to organ systems) and indirect effects (i.e., functional disability). The resulting cardiometabolic sequelae such as dyslipidemia, hypertension, diabetes, and weight gain (with lean body mass loss) contribute to the significantly increased rates of cardiovascular (CV) mortality and heart failure (HF) observed in HDCT survivors. Cardiac rehabilitation/secondary prevention (CR/SP) programs are a level 1 recommendation in multiple CV diseases, reducing CV risk and events. Currently, the feasibility of integrating standard CR/SP programs in outpatients (PTS) referred for HDCT is unknown. Aim: To prospectively evaluate feasibility and acceptability of routine referral tocardiovascular rehabilitation/secondary prevention (CR/SP) in unselected lymphoma PTSreferred for autologous HDCT/BMT. Methods: Lymphoma PTS referred for HDCT/BMT were screened and referred to the CR/SP program. Baseline exercise testing was performed prior to HDCT/BMT. Upon recovery (6 weeks) testing was repeated, and PTS were invited to participate in a 6-week standard CR/SP program of exercise rehabilitation and CV risk reduction education. Results: 20 PTS were referred for HDCT/BMT from January 1, 2015 to July 1, 2015. All were referred to the CR/SP program. 100% underwent exercise testing, and all proceeded to BMT without adverse cardiovascular outcomes or mortality. High levels of satisfaction of CR/SP program components were reported. Conclusions: In unselected PTS, seamless integration of CR/SP within standard HDCT/BMT care is feasible and acceptable. We expect short term measurable impacts including reduced symptom burden and improved quality of life. Longer term impacts will evaluate CV morbidity and mortality. This work will inform patient-centered care and improve supportive and survivorship care across the cancer continuum.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".