Epidemiological and clinical characteristics and the approach to infant chickenpox in primary care

Yessica Rodriguez-Santana1, Elena Sanchez-Almeida2, Cesar Garcia-Vera3

  • 1Primary health care El Calero, Servicio Canario de Salud, Las Palmas, Spain. yerss2@hotmail.com.

Insights

Chickenpox in infants is generally mild, particularly in those under 7 months. However, younger infants are hospitalized more and receive more antiviral treatment, with some pediatricians questioning later vaccination needs.

Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Epidemiology

Background:

  • Chickenpox (varicella) is uncommon in infants, with limited data on its presentation in primary care.
  • Hospital admissions for chickenpox are more frequent in the first year of life.

Purpose of the Study:

  • To describe the clinical presentation and management of chickenpox in infants.
  • To assess the severity and treatment patterns of infant varicella in primary care.

Main Methods:

  • An observational study conducted by a pediatrician network in Spain (July 2015-2016).
  • Data collected from 358 clinically diagnosed cases of chickenpox in infants.

Main Results:

  • Chickenpox was mild in 78% of infants <7 months vs. 65% aged 7-12 months.
  • Fever and >50 lesions were more common in infants >6 months.
  • 2% of infants were hospitalized, 86% of whom were <7 months.
  • Oral antivirals were given to 33% of infants ≤6 months vs. 18% of older infants.

Conclusions:

  • Infant chickenpox is typically benign, with a milder course in those <7 months.
  • Younger infants (<7 months) experience more hospitalizations and antiviral treatments.
  • 18% of pediatricians expressed doubts regarding subsequent chickenpox vaccination.

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
Characteristics of Life01:23

Characteristics of Life

Biology is a natural science that studies life and living organisms, including their structure, function, development, interactions, evolution, distribution, and taxonomy. The field's scope is extensive and divided into several specialized disciplines, such as anatomy, physiology, ethology, genetics, and many more. All living things share a few key traits, including cellular organization, heritable genetic material and the ability to adapt/evolve, metabolism to regulate energy needs, the...
260.4K
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...
954
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...
783
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