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Brain activity as a candidate biomarker for personalised caffeine treatment in premature neonates
Fatima Usman1, Coen S Zandvoort1, Shellie Robinson1
1Department of Paediatrics, University of Oxford, Oxford, United Kingdom.
Insights
Brain activity, measured as brain age gap, can predict apnoea rates in preterm infants, guiding personalized caffeine treatment. This biomarker helps avoid under- or over-dosing caffeine, improving infant outcomes.
Area of Science:
- Neonatal medicine
- Neuroscience
- Computational biology
Background:
- Caffeine is widely used in neonatology for preterm infants, primarily for apnoea of prematurity.
- Current guidelines based on postmenstrual age (PMA) may lead to undertreatment or adverse events due to individual variations in apnoea.
- Apnoea in preterm infants is linked to nervous system immaturity, suggesting brain activity could be a useful biomarker.
Purpose of the Study:
- To test the hypothesis that apnoea rate in preterm infants is related to brain activity.
- To assess if brain age gap can serve as a biomarker for personalized caffeine treatment.
Main Methods:
- A single-centre prospective observational cohort study involving 74 infants (31-36 weeks PMA).
- Simultaneous recording of brain activity (EEG) and respiration (impedance pneumography).
- Primary outcome: association between apnoea rate and brain age gap (calculated using a deep learning algorithm).
Main Results:
- Apnoea rate was significantly dependent on brain age gap (p=0.024) but not PMA (p=0.58).
- Infants with immature brain activity experienced more frequent apnoeas and desaturations after caffeine discontinuation compared to those with mature brain activity.
Conclusions:
- Brain age gap shows potential as a biomarker for optimizing caffeine treatment in preterm infants.
- Personalized caffeine dosing based on brain activity may improve treatment efficacy and safety.
Background:
Caffeine is one of the most frequently administered medicines in neonatology-prescribed for the management of apnoea of prematurity, to aid extubation and increasingly for conditions such as bronchopulmonary dysplasia. Caffeine guidelines for the management of apnoea of prematurity indicate use based on the age of the infant, but this does not account for individual variation in apnoea rate. Consequently, infants may risk caffeine undertreatment or adverse events due to over-exposure. Apnoea in preterm infants is related to nervous system immaturity, hence, as an essential first step to assess whether brain activity may be a useful biomarker for caffeine treatment, we tested the hypothesis that apnoea rate is related to brain activity.
Methods:
In this single-centre prospective observational cohort study, we simultaneously recorded brain activity using electroencephalography (EEG) and respiration using impedance pneumography in 74 infants aged 31-36 weeks postmenstrual age (PMA) on 138 separate occasions. The primary outcome was the association between apnoea rate and brain age gap (defined as the difference between the infant's brain age and their PMA; brain age is calculated from brain activity using a deep learning algorithm). In an exploratory sub-study, we compared the apnoea and desaturation rate in the 7 days after infants stopped caffeine treatment, between those infants with immature and mature brain activity.
Results:
We demonstrate that apnoea rate in moderate/late preterm infants is dependent on brain age gap (p:0.024; β [95% CI]:-0.22 [-0.41 to -0.03]). In contrast, apnoea rate was not correlated with PMA (p:0.58; β [95% CI]:-0.04 [-0.16 to 0.09]). In the exploratory sub-study, we find that when caffeine is discontinued, infants with immature brain activity have more frequent apnoeas and desaturations compared with those with more mature brain function.
Conclusions:
These findings provide initial evidence to indicate that brain age is a candidate biomarker for personalised caffeine treatment in preterm infants.
