Comparison of Comorbidity Scores and the Impact of Comorbidities on Length of Stay and Survival in Patients with Non−Hodgkin's Lymphoma Treated with Autologous Stem Cell Transplant
Bibliographic record
Abstract
Abstract Abstract 2091 Autologous stem cell transplant (ASCT) is the treatment of choice for relapsed aggressive histology Non-Hodgkin's lymphoma (NHL) and is part of first line therapy for mantle cell lymphoma (MCL). Although treatment related morbidity and mortality from ASCT is considerably less than for allogeneic transplant, it is not without risk and can be affected by comorbid conditions. Two comorbidity scores have been used for stem cell transplant patients to assess risk, the Charlson Comorbidity Index (CCI) (Biol Blood Marrow Transplant 2008;14:840-6) and the Hematopoietic Stem Cell Transplantation Comorbidity Index (HCT-CI) (Blood 2005;106:2912-19). The Cumulative Illness Rating- Geriatric Severity Index (CIRS-G SI) has also been used in patients with cancer (J Clin Oncol 1998;16:1582-7). This project compares these comorbidity scores and examines the effect of comorbid conditions on outcomes post transplant. A retrospective chart review was performed on 101 patients with NHL receiving ASCT from 2003 to 2010 at our institution. Patients were conditioned using BEAM chemotherapy (BCNU, etoposide, cytarabine, melphalan). Variables collected included age, gender, diagnosis, international prognostic index (IPI), comorbidity scores, length of stay (LOS) and overall survival. The length of stay was calculated as the extra LOS (ELOS) beyond day 14 to account for some patients who were able to be discharged early for proximity reasons. Correlations were calculated using the Pearson Correlation Coefficient. Linear and Cox regression were used in the analysis. The median age of the patient population was 57 years (range 26–68 years) and 38% were female. The majority of patients had diffuse large B cell lymphoma (DLBCL) 57%, other histological subtypes included MCL 10%, follicular lymphoma (FL) 10%, transformed FL 7% and others 16%. The median follow-up time was 17.2 months (0.5–96 months) for the entire group, and 28 months (0.5–83) for the DLBCL group. For the DLBCL group, the international prognostic index (IPI) at diagnosis was 0–1 in 67% and 2–5 in 33%. The IPI at relapse was 0–1 in 55% and 2–5 in 45%. The median number of reinfused stem cells was 4.9 × 106 CD34+/ kg (range 1.7–27). The median score on the CCI was 2 (range 2–5), 73% of patients had CCI score of 2 or less, 23% had score of 3 and 4% had a score 4 or greater. The median score on the CIRS-G SI was 3 (range 1.6 – 4). The median score on the HCT-CI was 0 (range 0–5), 66% had a score of 0, 27% had a score of 1 or 2, and 7% had a score of at least 3. The Pearson correlation between the CCI and HCT-CI was 0.8 (p<0.001), between HCT-CI and CIRS-G was 0.3 (p=0.001) and between CCI and CIRS-G was 0.2 (p=0.03). The median survival for the entire group and the for the DLBCL patients was not reached. Survival estimates were 75% for the entire group at 24 months, and 75% for the DLBCL group at 36 months. There was no statistically significant relationship between any of the comorbidity scores and overall survival using Cox regression for either the entire group or the DLBCL group. On univariate analysis, for the entire group of patients, CCI was significantly related to ELOS (p=0.011) but the other comorbidity scores were not. For the DLBCL group, univariate analysis showed that ELOS was associated with CCI (p=0.037) and trended towards significance with HCT-CI (p=0.098). We also performed a multivariable analysis on the entire group looking for predictive factors for ELOS using age, gender, albumin and CCI and found that CCI and gender were significant (p=0.001 for both). In the DLBCL group the same multivariable analysis was done with the addition of IPI at relapse and we found that CCI (p=0.007) and gender (p=0.014) were significant, IPI at relapse, age and albumin were not. In conclusion, the CCI and HCT-CI comorbidity scores are highly correlated for this group of ASCT patients. The CIRS-G SI did not correlate as well with the other comorbidity scores. In this group of patients we could not detect any influence of comorbidity score on survival, however there seems to be a statistically significant relationship between the CCI score and length of stay. The HCT-CI and CIRS-G SI did not affect LOS in this study. There also seems to be a relationship between gender and length of stay, as male patients had a shorter duration of hospitalization. The results of this study will need to be investigated further with a larger sample size. Disclosures: No relevant conflicts of interest to declare.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".