Multilevel mortality risk factors among pediatric hematology-oncology patients with deterioration

Asya Agulnik1, Maricela Robles-Murguia1, Yichen Chen1

  • 1St. Jude Children's Research Hospital, Memphis, Tennessee, USA.

Cancer
|April 7, 2025
PubMed

Insights

Clinical deterioration events in pediatric cancer patients lead to high mortality. Interventions and patient factors, not hospital characteristics, significantly impact survival, highlighting the need for targeted care improvements.

Area of Science:

  • Pediatric Oncology
  • Critical Care Medicine
  • Epidemiology

Background:

  • Hospitalized pediatric hematology-oncology patients frequently experience clinical deterioration events (CDEs).
  • These events often necessitate intensive care unit (ICU) interventions and are associated with high mortality rates, especially in resource-limited settings.
  • Identifying risk factors for CDE mortality is crucial for improving outcomes in these vulnerable patients.

Purpose of the Study:

  • To identify independent risk factors for mortality associated with clinical deterioration events (CDEs) in pediatric hematology-oncology patients.
  • To analyze patient-level, event-level, and hospital-level factors contributing to CDE mortality.
  • To inform targeted interventions for improving survival rates in this population.

Main Methods:

  • A prospective registry of CDEs was implemented across 69 hospitals in 18 countries from April 2017 to December 2022.
  • CDEs were defined as unplanned transfer to a higher level of care, ICU-level interventions on the ward, or nonpalliative ward death.
  • Multilevel modeling was used to analyze registry data and identify independent risk factors for CDE mortality.

Main Results:

  • A total of 4134 CDEs were reported in 3319 patients, with an overall event mortality of 26.8%.
  • Significant independent risk factors for mortality included patient factors (e.g., disease relapse) and event-level factors (e.g., reason for admission, ICU interventions, laboratory abnormalities, organ dysfunction).
  • Hospital-level factors were not found to be significant predictors of CDE mortality.

Conclusions:

  • Pediatric hematology-oncology patients experiencing CDEs have a high mortality rate.
  • Mortality is primarily influenced by modifiable event-level factors, emphasizing the potential for targeted interventions.
  • The findings underscore the need for focused strategies to improve survival in hospitalized children with cancer experiencing critical illness.
Abstract

Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
311
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
99
Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.2K
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
75
Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
77
Regulation of Hematopoietic Stem Cells01:01

Regulation of Hematopoietic Stem Cells

All blood and immune cells are produced from the multipotent hematopoietic stem cells (HSCs) by the process of hematopoiesis. However, they all have a limited life span. In addition, many are depleted in immune surveillance or combatting an injury or infection. This makes blood one of the most regenerative tissues. Hematopoiesis helps replenish these blood and immune cells, restoring the body's normal functioning. However, overproduction of blood and immune cells can make them cancerous or...
3.1K