Changes In Health Status and Quality of Life In Adults with Thalassemia: Year 1 Report of the Thalassemia Longitudinal Cohort Study.
Bibliographic record
Abstract
Abstract Abstract 1533 Background: Advances in treatment of thalassemia have led to increased life expectancy for patients, making outcomes such as health related quality of life (HRQOL) an important consideration of therapy. However little has been published about the HRQOL of patients living with thalassemia, especially as it may change over time. Our study reports changes in patient-reported HRQOL from baseline to year 1 in the Thalassemia Clinical Research Networks (TCRN) Thalassemia Longitudinal Cohort (TLC) study. Methods: The TCRN is an NIH sponsored network of 16 major thalassemia centers in the US, Canada and London. We report here on the results from 220 patients (approximately 80% of the total cohort) over the age of 14 who completed baseline and year 1 assessments. HRQOL was measured by self-report with the Medical Outcomes Study 36-Item Short Form Health Survey version 2 (SF36v2). We defined a clinically significant change as a difference of at least 2 points on any SF-36 subscale. Results: Overall the patients were 46% male with a mean age of 29 years at baseline (range 14–58). Across the TLC population, mean self-reported HRQOL showed little change over the 1 year study period, with only social functioning showing a significant increase (p=0.04). However in each SF-36 domain over 50% of patients reported a signficant change in scores (an increase or decrease of more than 2 points) (Figure 1). All patients had a significant change on at least one domain, with a mean of 7 domains affected. Overall a small majority of patients (56%) reported that their health in general was “about the same” at year 1 as at baseline; 14% reported it was somewhat worse, 19% somewhat better, and 11% much better. Forty-nine % of patients reported requiring fewer transfusions in year 1, while 34% needed more, and 17% had no change. Most patients (82%) made no change in their chelator, although 8% changed from deferoxamine (DFO) to an oral chelator, fewer than 1% changed from oral to DFO, and 3% each stopped and started chelation. Most patients (61%) reported the same general adherence rate, although taken together there was slightly better reported adherence in year 1. Almost half of patients (47%) reported no change in chelator side effects, although again there was a slight overall decrease in reported side effects across the group. Most patients (92%) reported no new secondary complications in year 1. As expected, increasing age was associated with decreased HRQOL in the following domains: physical function, bodily pain, vitality, social function, mental health, and physical summary scales, although only bodily pain showed a clinically significant change (+2.1 points). Gender, race, change in number of transfusions, and change in chelator were not associated with change in HRQOL, although there was a trend towards improved general health in patients who made any change in chelation. A decrease in reported side effects from chelation was associated with an improvement in physical functioning (+2.8) and the mental summary score (+3.48), while development of a new complication during the one year study period was associated with a decrease in role-emotional (-8.2). Surprisingly an increase in reported adherence was associated with a decrease in social functioning (-5.1), role emotional (-7.7) and the mental summary score (-5.4). Conclusions: As a population, the TLC showed overall stability in clinical status and SF-36 scores over the 1 year study period. However individual patients reported significant changes, both positive and negative, in an average of 7 SF-36 domains. HRQOL appears to be most affected by age, with some association with changes in chelator, secondary complications, side effects and adherance. Further analysis is needed in order to fully understand these associations. Disclosures: Neufeld: Novartis, Inc: Research Funding; Ferrokin, Inc: Research Funding.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".