Epidemiology of Anaphylaxis in Critically Ill Children in the United States and Canada

Nicole B Ramsey1, Danielle Guffey2, Katherine Anagnostou3

  • 1Mount Sinai School of Medicine, New York, NY.

Insights

Pediatric anaphylaxis is a severe reaction, with food triggers like peanuts being most common. This study found a 1% mortality rate in North American pediatric intensive care units, highlighting the need for awareness.

Area of Science:

  • Pediatric Critical Care Medicine
  • Allergy and Immunology
  • Epidemiology

Background:

  • Anaphylaxis is a severe, multisystem hypersensitivity reaction with variable reported incidence and mortality.
  • Severe and fatal pediatric anaphylaxis cases are infrequently reported in medical literature.

Purpose of the Study:

  • To describe the largest cohort of pediatric intensive care unit (PICU) anaphylaxis admissions in North America.
  • To comprehensively analyze anaphylaxis triggers, clinical and demographic data, and mortality probability in children.

Main Methods:

  • Prospective enrollment of 131 North American PICUs in the Virtual Pediatric Systems database (2010-2015).
  • Identification of 1,989 pediatric patients (age < 18) admitted with anaphylaxis International Classification of Diseases codes out of 604,279 total admissions.
  • Analysis of mortality and secondary outcomes including intubation, length of stay, and risk scores.

Main Results:

  • One percent (1%) of pediatric anaphylaxis patients admitted to PICUs died.
  • Peanuts were the most common trigger overall and in fatal cases, followed by milk and blood products.
  • Average length of stay was 2 days; intubation was most common within the first hour of admission.

Conclusions:

  • This is the largest study detailing pediatric critical anaphylaxis in North America, identifying food as the primary trigger.
  • The 1% mortality rate and frequent need for early intubation underscore the severity of anaphylaxis in children.
  • The significant risk for PICU admission emphasizes the critical nature of anaphylaxis management in pediatric populations.
Abstract

Related Concept Videos

Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.8K
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.5K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
933
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
629
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.3K
Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
13.3K