Assessment of growth and pain trajectories for children and adolescents receiving chemotherapy for acute lymphoblastic leukemia in Northern Thailand using group-based trajectory modeling - Summary - MDSpire

Assessment of growth and pain trajectories for children and adolescents receiving chemotherapy for acute lymphoblastic leukemia in Northern Thailand using group-based trajectory modeling

  • By

  • Sunisa Phookiaw

  • Patrinee Traisathit

  • Sukon Prasitwattanaseree

  • Chane Choed-Amphai

  • Lalita Sathitsamitphong

  • July 6, 2026

  • 0 min

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Objective:

To examine bodyweight, body mass index (BMI), and pain trajectories in children receiving chemotherapy for acute lymphoblastic leukemia (ALL), along with associated factors.

Approach:
  • Study Design: A retrospective study involving 88 children and adolescents diagnosed with ALL and receiving chemotherapy.
  • Data Collection: Clinical data were collected from medical records, including demographic information and measurements of bodyweight, height, and pain scores across five phases of treatment.
  • Statistical Analysis: Group-based Trajectory Modeling was used to identify trajectory patterns for bodyweight, BMI, and pain.
Key Findings:
  • Four latent classes for bodyweight trajectory were identified, with two-thirds of patients classified into the slightly low-normal bodyweight group, primarily consisting of 1–5-year-olds in the standard-risk ALL group.
  • Older patients (6–15 years) were more likely to be in the high-bodyweight group [adjusted odds ratio (aOR) 184.6 (30.47-1118.48)].
  • 94% of patients were classified as healthy weight for BMI, with overweight/obesity more common in older patients [aOR 5.99, (2.18–16.51)].
  • Three-quarters of patients experienced high pain initially, with pain levels declining over time.
  • High pain prevalence was noted in 6–15-year-olds [aOR 2.61 (1.07–6.36)], while mild pain was more common in younger patients (1–5 years) and those in the standard-risk group. Thai ethnicity was associated with mild pain [aOR 0.36 (0.13–0.99)].
Interpretation:

Older age at diagnosis correlates with higher bodyweight and higher BMI. High-risk ALL is linked to high bodyweight trajectory, and Thai ethnicity is associated with high BMI.

Limitations:
  • The study is retrospective and may be subject to biases in data collection.
  • The sample size may limit the generalizability of the findings.
Conclusion:

Older age at diagnosis and high-risk ALL status are associated with adverse growth and pain trajectories in pediatric ALL patients.

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