Do quality of life and physical function at diagnosis predict short-term outcomes during intensive chemotherapy in acute myeloid leukemia patients?
Bibliographic record
Abstract
7067 Background: Intensive chemotherapy (IC) used to treat acute myeloid leukemia (AML) is associated with multiple short-term toxicities including mortality, particularly in older adults. Emerging data suggest that baseline quality of life (QOL) assessment and/or objective physical function tests may predict outcomes in oncology, although there are no data in AML patients. We investigated the association between baseline QOL and physical function with short-term treatment outcomes in adult and elderly AML patients. Methods: We conducted a prospective, longitudinal study of adult (age 18+) AML patients undergoing IC. Prior to starting IC, patients completed the EORTC QLQ-C30 and FACT-Fatigue in addition to physical function tests (grip strength, timed chair stands, and 2-minute walk test). Outcomes included 60-day mortality, intensive care unit (ICU) admission, and achievement of complete remission (CR). Univariate and multivariable logistic regression were performed to evaluate each outcome. Results: Of the 243 patients (median age 57.5 y), 56.7% were male and median Charlson comorbidity score was 0. 60-day mortality, ICU admission, and CR occurred in 9 (3.4%), 15 (6.2%), and 171 (70.4%), respectively. In univariate regressions, neither QOL nor physical function tests were predictive of 60-day mortality (all P>0.05), whereas cytogenetic risk group (P=0.04), ICU admission (P=<0.001), and remission status at 30 days (P=0.006) were. Fatigue was a significant predictor of ICU admission (p=0.02) whereas QOL and baseline physical function were not significant predictors. In univariate analyses, higher Charlson score was found to be a significant predictor of both ICU admission (P=0.01) and remission status at 30 days (P=0.002). Cytogenetic risk group was correlated with achievement of CR whereas neither QOL nor physical function were predictive (all P>0.05). Findings were similar when the subset of 96 elderly patients (age 60+) were examined. Conclusions: Baseline QOL and physical function tests in this prospective study were not associated with short-term mortality, ICU admission, or achievement of CR after the 1st cycle of chemotherapy.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".