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Published on: September 6, 2024
Ventilation distribution in mechanically ventilated children in response to positioning: An exploratory study
A Lupton-Smith1,2, A Argent2, B Morrow2
1Division of Physiotherapy, Department of Health and Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Insights
Ventilation distribution in mechanically ventilated children is variable and not unlike healthy children. Body positioning should be individualized for each child to optimize breathing. This study offers new insights into pediatric ventilation patterns.
Area of Science:
- Pediatric critical care medicine
- Respiratory physiology
- Medical imaging techniques
Background:
- Traditional understanding suggests universal non-dependent lung ventilation in children.
- Recent studies challenge established ventilation distribution patterns in pediatric populations.
- No prior studies have investigated the impact of body position on mechanically ventilated infants and children.
Purpose of the Study:
- To investigate the influence of different body positions on regional ventilation distribution in mechanically ventilated children.
- To provide data on ventilation patterns in pediatric patients requiring mechanical ventilation.
Main Methods:
- Utilized Thoracic Electrical Impedance Tomography (EIT) to assess regional ventilation.
- Measurements were taken in supine, prone, left-side lying, and right-side lying positions.
- Calculated regional ventilation parameters including relative tidal impedance (ΔZ) and proportion of ventilation in different lung regions.
Main Results:
- Seventeen children (6 months to 6 years) were studied.
- A significant proportion of children showed greater ventilation in the right lung (side-lying) and dorsal lung regions (supine/prone).
- Regional lung filling remained consistent across different body positions.
Conclusions:
- Ventilation distribution in mechanically ventilated children with mild lung disease is variable.
- Patterns observed are similar to healthy, spontaneously breathing infants and children.
- Individualized positioning strategies are recommended to optimize ventilation in pediatric patients.
Background:
Traditionally, it was understood that children universally show greater ventilation of the non-dependent lung. Recent studies have questioned the understanding of ventilation distribution patterns in the paediatric population. There are no studies examining the effect of body position in mechanically ventilated infants/children.
Objectives:
To determine the effect of body position on regional ventilation distribution in mechanically ventilated children.
Methods:
Thoracic electrical impedance tomography (EIT) measurements were taken in left- and right-side lying, supine and prone positions in mechanically ventilated infants/children. Functional EIT images were produced, and regional relative tidal impedance (ΔZ) in the left, right, ventral and dorsal lung regions was calculated. The proportion of ventilation occurring in large lung regions and regional filling were also calculated.
Results:
Seventeen children (n=8; 47% male) aged 6 months - 6 years are presented. Many of the children (n=8; 47%) consistently showed greater ventilation in the right lung in both side-lying positions, and in the dorsal lung region (n=6; 35%) in both the supine and prone positions. Regional filling was similar between lung regions in the different body positions.
Conclusion:
Ventilation distribution in mechanically ventilated infants/children with mild lung disease is variable and similar to that of healthy spontaneously breathing infants/children.
Contribution Of The Study:
Ventilation distribution in mechanically ventilated children with mild disease is not dissimilar to that in healthy infants and children. Positioning to optimise ventilation should be tailored to each child's responses. This study provides exploratory data describing ventilation distribution in mechanically ventilated infants and children. These data can be used to inform further research study design.
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