Childhood Antimicrobial Resistance With Global Forecasts - Summary - MDSpire
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Global Projections of Antimicrobial Resistance in Children

  • By

  • Yanhong Jessika Hu

  • Hong Qiu

  • Joseph I. Harwell

  • Penelope A. Bryant

  • October 1, 2026

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Objective:

To examine geographic and temporal patterns of pediatric antibiotic resistance and project changes over the next decade using a large AMR surveillance dataset.

Approach:
  • Data Source: Utilized the Antimicrobial Testing Leadership and Surveillance (ATLAS) dataset, covering 82 countries from January 2004 to December 2022.
  • Age Group Categorization: Children were categorized into three age groups: 0-2 years, 3-12 years, and 13-18 years.
  • Pathogen Selection: Analyzed pathogens designated as critical, high, or medium priority by WHO, excluding those with low isolate numbers.
  • Resistance Classification: Antibiotics were classified according to the WHO AWaRe system, defining resistance as resistance to at least one antibiotic in the group.
  • Statistical Analysis: Applied linear and nonlinear methods to evaluate resistance patterns and forecast AMR through 2035 using generalized additive models.
Key Findings:
  • AMR is linked to an estimated 840,000 deaths among children under 5 years in 2021.
  • Multidrug-resistant organisms account for up to 10% of bloodstream infections in children.
  • Responses to pediatric AMR are limited by inadequate surveillance and lack of appropriate antibiotic formulations.
Interpretation:

Evidence on AMR among children remains fragmented, complicating clinical decision-making and policy formulation.

Limitations:
  • Inadequate surveillance data for children hampers comprehensive understanding.
  • International findings, especially from resource-limited settings, are often difficult to compare.
Conclusion:

The study highlights the urgent need for improved AMR surveillance and appropriate antibiotic formulations for children.

Sources:

Original Source(s)

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