Utility of Comorbidity Assessment in Predicting Transplantation-Related Toxicity Following Autologous Hematopoietic Stem Cell Transplantation for Multiple Myeloma
Bibliographic record
Abstract
Patients with coexisting medical problems may suffer increased toxicity and reduced quality of life after autologous hematopoietic stem cell transplantation (HSCT). The benefit of high-dose therapy for some patients with multiple myeloma (MM) is debatable. Decision tools that aid in identifying those patients with MM most suited for autologous HSCT may avoid the risk of excess toxicity. An objective assessment of comorbidities was performed in 126 patients with MM undergoing autologous HSCT using the Charlson comorbidity index (CCI), the hematopoietic cell transplantation comorbidity index (HCT-CI), and a modified pretransplantation assessment of mortality (mPAM) to determine the strength of association with increased transplantation-related toxicity and increased length of hospital stay (LOS). Any comorbidity scored using the CCI or HCT-CI (score > 0) was associated with an increased number of organ systems with serious toxicity (at least grade 2 toxicity using the Seattle criteria), an increased total sum of toxicity grades for all organs, and prolonged LOS. An mPAM score > or = 24 was associated with increased LOS. When considering autologous HSCT for a patient with MM, assessment of comorbidities using the CCI or HCT-CI may assist in predicting the risk of transplantation-related toxicity as an adjunct to physician judgment and patient preference.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".