Abstract B66: Nutritional intakes are associated with HDL-cholesterol levels in survivors of childhood acute lymphoblastic leukemia
Bibliographic record
Abstract
Abstract Background: Survivors of childhood acute lymphoblastic leukemia (cALL) are at high risk of developing dyslipidemia (high LDL-cholesterol, high triglycerides, or low HDL-cholesterol). Studies showed that, similarly to the general population, cALL survivors do not respect dietary guidelines. However, whether nutritional intakes affect the lipid profile of this high-risk population remains unknown. This study aims to examine the associations between macro- and micronutrients and the presence of dyslipidemia in children and young adult survivors of cALL. Methods: Participants (n=247) survivors of cALL were recruited as part of the PETALE study at Sainte-Justine University Health Center (49.4% boys; median age: 21.7 yrs, range: 8.5-41.0 yrs; median time since diagnosis: 15.2 yrs, range: 5.4-28.2 yrs). Nutritional data were collected using a validated food frequency questionnaire (FFQ) comprising 190 items. Fasting blood was used to determine participants’ lipid profile by enzymatic reactions. Multivariable logistic regression models were fitted to evaluate the associations between intakes of macro- and micronutrients and dyslipidemia. The model included the following covariables: body mass index, age at diagnosis, age at diagnosis2, sex, and total energy intake. Results: Despite their young age, 41.3% of cALL survivors had dyslipidemia defined by having at least one abnormal lipid value. Specifically, 12.2% had high triglycerides and 17.4% high LDL-cholesterol and 23.1% low HDL-cholesterol. Our analysis revealed that having low HDL-cholesterol was associated with higher intakes in several nutrients (3rd vs. 1st tertile). They were proteins [odd ratio (OR): 0.27, 95%CI: 0.08-0.92, P<0.05], zinc (OR: 0.26, 95%CI: 0.08-0.84, P<0.05), copper (OR: 0.34, 95%CI: 0.12-0.99, P<0.05), selenium (OR: 0.17, 95%CI: 0.05-0.59, P<0.01), niacin (OR: 0.25, 95%CI: 0.08-0.84, P<0.05), riboflavin (OR: 0.24, 95%CI: 0.07-0.84, P<0.05), and vitamin B12 (OR: 0.35, 95%CI: 0.13-0.90, P<0.05). Conclusion: Our study shows the potential protective role of specific macro- and micronutrients on HDL-cholesterol levels in cALL survivors. These results stress the importance of deepening our understanding of the impact of nutrition in the development of dyslipidemia after cancer treatment. Nutritional strategies could be a valuable approach to prevent long-term cardiometabolic complications in cALL survivors. Citation Format: Sophia Morel, Devendra Amre, Emma Teasdale, Caroline Laverdière, Daniel Sinnett, Emile Levy, Valérie Marcil. Nutritional intakes are associated with HDL-cholesterol levels in survivors of childhood acute lymphoblastic leukemia [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr B66.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.004 | 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".