MétaCan
Menu
← Back to cohort
Record W3211544433 · doi:10.1182/blood-2021-151313

Impact of Age, Body Surface Area, and Body Mass Index on Pegaspargase Toxicity and Pharmacokinetics: A Report from the DFCI ALL Consortium

2021· article· en· W3211544433 on OpenAlexaff
Jonathan Paolino, Yael Flamand, Kristen E. Stevenson, Victoria Koch, Uma H. Athale, Peter D. Cole, Lisa Gennarini, Justine M. Kahn, Kara M. Kelly, Caroline Laverdière, Jean‐Marie Leclerc, Bruno Michon, Andrew E. Place, Jeffrey G. Supko, Thai Hoa Tran, Jennifer Welch, Donna Neuberg, Stephen E. Sallan, Lewis B. Silverman, Lynda M. Vrooman

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsCentre hospitalier universitaire de QuébecUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineMcMaster University
Fundersnot available
KeywordsMedicineBody surface areaBody mass indexToxicityAsparaginaseInternal medicineGastroenterologyPharmacokineticsLeukemia

Abstract

fetched live from OpenAlex

Abstract Introduction: Increased toxicity with pegaspargase (PEG) in older and higher body mass index (BMI) patients (pts) with acute lymphoblastic leukemia (ALL) has recently led to dose capping practices. We assessed the influence of age, body surface area (BSA), and BMI on PEG-related toxicity and pharmacokinetics from two consecutive DFCI ALL Consortium trials without dose capping. Methods: Patient (pts) aged 1 to <19 years (DFCI 05-001) or 1 to <22 years (DFCI 11-001) with newly diagnosed ALL were eligible for enrollment. Those who received PEG (2500 IU/m 2) were included in this analysis. Pts received 1 dose of IV PEG on day 7 of Induction and every 2 weeks for 15 doses post-induction. Serum asparaginase activity (SAA), considered therapeutic at >0.1 IU/mL, was assessed 4, 11, 18, and 25 days after the Induction dose and nadir SAA was assessed before each Post-Induction dose. Asparaginase-related toxicities were prospectively assessed and graded by CTCAE version 3.0 (DFCI 05-001) or 4.0 (DFCI 11-001). Asparaginase toxicity for this analysis was defined as ≥1 of the following: pancreatitis, thrombosis, ≥grade 4 hyperbilirubinemia, ≥grade 4 hypertriglyceridemia. Allergy was analyzed separately (due to presumed dose independence). Height and weight at diagnosis were used for analyses. BMI categories were assigned using standard percentile ranges based on gender specific 2000 CDC growth charts. BSA was calculated using the Mosteller formula. Univariate analyses evaluated the relationship of age, BMI, and BSA with asparaginase toxicity. Comparisons of toxicity across BMI and BSA categories were performed using a Jonckheere-Terpstra test. Categorical comparisons for dichotomized BMI and BSA utilized a Fisher's exact test or chi square test. The relationships between BMI and BSA with toxicity were explored using multivariable models. Results: Between 4/2005-12/2011 802 pts enrolled on DFCI 05-001 and between 6/2012-6/2015 240 pts enrolled on DFCI 11-001. Both trials included random assignment of asparaginase formulation. In total 911 patients received pegaspargase during Induction and 351 during Post-Induction. During Induction, pts ≥15 years of age had higher asparaginase toxicity rates (17.1% vs 6.2%, p=0.0003) (Figure 1a). Toxicity differed significantly across BSA categories (<1.5 m 2, 1.5 to <2.0 m 2, ≥2.0 m 2, p= 0.007) with increased toxicity in those with BSA ≥2.0m 2 (22.7% vs. 6.8% for those <2.0 m 2, p = 0.016) (Figure 1b). Age was highly correlated with BSA (Pearson r = 0.93, p <0.0001). There was numerically higher toxicity in the BMI category of overweight vs. those underweight or normal weight (11.3% vs 6.5%) however this did not extend to the obese category, and overall, increasing BMI was not associated with statistically higher toxicity (p= 0.13, Figure 1c). Post-Induction, age ≥15 years was associated with increased asparaginase toxicity (57.1% vs 21%, p<0.0001) (Figure 1d). Toxicity differed significantly across BSA categories (p<0.0001) but was similar between BMI categories (p=0.19, Figure 1e-f). The impact of BSA was observed when dichotomized at thresholds of 1.5m 2 (54% vs. 19%, p<0.0001) and 2.0m 2 (70% vs. 23%, p=0.003) (Figure 1e). Considering only those ≥10 years of age, trends for BSA/BMI and toxicity were similar. There was no significant association between BMI or BSA and allergy. In multivariable analysis, BSA was a significant predictor of Post-Induction toxicity (OR 4.21, p<0.0001). Age was significant in the univariate setting (OR 1.14, p<0.0001) however due to high correlation with BSA, was not included with BSA in the multivariable model. Post-Induction, median nadir SAA levels were ≥0.1IU/mL for all BSA and age categories. Median SAA was similar or lower at all time-points for those ≥15 years of age compared with younger children. Median SAA for pts with BSA ≥1.5m 2 were similar or lower compared to those with BSA <1.5m 2 (Figure 2a-d). Conclusion: Age ≥15 years and BSA ≥2m 2 were each associated with significantly increased asparaginase toxicity. Older patients and those with higher BSA had similar or lower median SAA levels at all time-points. These results suggest that the differential toxicity seen in older patients and those with higher BSA is not explained by these patients having higher SAA levels. Prospective exploration of interventions to decrease toxicity in older patients and those with high BSA are needed. Figure 1 Figure 1. Disclosures Neuberg: Madrigal Pharmaceuticals: Other: Stock ownership; Pharmacyclics: Research Funding. Silverman: Takeda, Servier, Syndax, Jazz Pharmaceuticals: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.031
GPT teacher head0.333
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicChildhood Cancer Survivors' Quality of Life→French-language works237,207→