All Outputs (12)

The critical role of technologies in neonatal care (2023)
Journal Article
Taha, S., Simpson, R. B., & Sharkey, D. (2023). The critical role of technologies in neonatal care. Early Human Development, 187, Article 105898. https://doi.org/10.1016/j.earlhumdev.2023.105898

Neonatal care has made significant advances in the last few decades. As a result, mortality and morbidity in high-risk infants, such as extremely preterm infants or those infants with birth-related brain injury, has reduced significantly. Many of the... Read More about The critical role of technologies in neonatal care.

Association between opioid use during mechanical ventilation in preterm infants and evidence of brain injury: a propensity score-matched cohort study (2023)
Journal Article
Szatkowski, L., Sharkey, D., Budge, H., & Ojha, S. (2023). Association between opioid use during mechanical ventilation in preterm infants and evidence of brain injury: a propensity score-matched cohort study. eClinicalMedicine, 65, Article 102296. https://doi.org/10.1016/j.eclinm.2023.102296

Background: Preterm infants often require mechanical ventilation (MV), which can be a painful experience. Opioids (such as morphine) are used to provide analgesia, despite conflicting evidence about their impact on the developing brain. We aimed to q... Read More about Association between opioid use during mechanical ventilation in preterm infants and evidence of brain injury: a propensity score-matched cohort study.

Identifying Variation in the Newborn Life Support Procedure: An Automated Method (2023)
Conference Proceeding
Tan, A., Remenyte-Prescott, R., Egede, J., Valstar, M., & Sharkey, D. (2023). Identifying Variation in the Newborn Life Support Procedure: An Automated Method. In M. P. Brito, T. Aven, P. Baraldi, M. Čepin, & E. Zio (Eds.), Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023) (607-614)

This research is conducted for developing an automated method to recognize variations in the Newborn Life Support (NLS) procedure. Compliance with the NLS standard guideline is essential to prevent any adverse consequences for the newborn. Video reco... Read More about Identifying Variation in the Newborn Life Support Procedure: An Automated Method.

Respiratory management and outcomes in high-risk preterm infants with development of a population outcome dashboard (2023)
Journal Article
Kwok, T. C., Poulter, C., Algarni, S., Szatkowski, L., & Sharkey, D. (2023). Respiratory management and outcomes in high-risk preterm infants with development of a population outcome dashboard. Thorax, 78(12), 1215–1222. https://doi.org/10.1136/thorax-2023-220174

Introduction: Bronchopulmonary dysplasia (BPD) is associated with adverse long-term respiratory and neurodevelopmental outcomes. No recent studies examined the changing respiratory management and outcomes, particularly severe BPD, across a whole popu... Read More about Respiratory management and outcomes in high-risk preterm infants with development of a population outcome dashboard.

Impact of postnatal dexamethasone timing on preterm mortality and bronchopulmonary dysplasia: a propensity score analysis (2023)
Journal Article
Kwok, T. C., Szatkowski, L., & Sharkey, D. (in press). Impact of postnatal dexamethasone timing on preterm mortality and bronchopulmonary dysplasia: a propensity score analysis. European Respiratory Journal, https://doi.org/10.1183/13993003.00825-2023

Introduction Postnatal dexamethasone (PND) is used in high-risk preterm infants after the first week of life to facilitate extubation and prevent bronchopulmonary dysplasia (BPD) but the optimal treatment timing remains unclear. Objective Explore... Read More about Impact of postnatal dexamethasone timing on preterm mortality and bronchopulmonary dysplasia: a propensity score analysis.

The Classification of Movement in Infants for the Autonomous Monitoring of Neurological Development (2023)
Journal Article
Turner, A., Hayes, S., & Sharkey, D. (2023). The Classification of Movement in Infants for the Autonomous Monitoring of Neurological Development. Sensors, 23(10), Article 4800. https://doi.org/10.3390/s23104800

Neurodevelopmental delay following extremely preterm birth or birth asphyxia is common but diagnosis is often delayed as early milder signs are not recognised by parents or clinicians. Early interventions have been shown to improve outcomes. Automati... Read More about The Classification of Movement in Infants for the Autonomous Monitoring of Neurological Development.

A modelling approach to studying variations in newborn life support procedure (2023)
Journal Article
Tan, A., Remenyte-Prescott, R., Valstar, M., & Sharkey, D. (2023). A modelling approach to studying variations in newborn life support procedure. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, https://doi.org/10.1177/1748006X231173595

Variations in clinical practice are common. However, some variations may cause undesired consequences. Careful consideration of their causes and effects is necessary to assure the quality of healthcare delivery. A modelling approach that could captur... Read More about A modelling approach to studying variations in newborn life support procedure.

Forehead monitoring of heart rate in neonatal intensive care (2023)
Journal Article
Stockwell, S. J., Kwok, T. C., Morgan, S. P., Sharkey, D., & Hayes-Gill, B. R. (2023). Forehead monitoring of heart rate in neonatal intensive care. Frontiers in Physiology, 14, Article 1127419. https://doi.org/10.3389/fphys.2023.1127419

Heart rate is an extremely important physiological parameter to measure in critically unwell infants, as it is the main physiological marker that changes in response to a change in infant condition. Heart rate is routinely measured peripherally on a... Read More about Forehead monitoring of heart rate in neonatal intensive care.

Complex roles of TGF-β signaling pathways in lung development and bronchopulmonary dysplasia (2023)
Journal Article
Calthorpe, R. J., Poulter, C., Smyth, A. R., Sharkey, D., Bhatt, J., Jenkins, G., & Tatler, A. L. (2023). Complex roles of TGF-β signaling pathways in lung development and bronchopulmonary dysplasia. AJP - Lung Cellular and Molecular Physiology, 324(3), L285-L296. https://doi.org/10.1152/ajplung.00106.2021

As survival of extremely preterm infants continues to improve, there is also an associated increase in bronchopulmonary dysplasia (BPD), one of the most significant complications of preterm birth. BPD development is multifactorial resulting from expo... Read More about Complex roles of TGF-β signaling pathways in lung development and bronchopulmonary dysplasia.

Observational cohort study of use of caffeine in preterm infants and association between early caffeine use and neonatal outcomes (2023)
Journal Article
Szatkowski, L., Fateh, S., Abramson, J., Kwok, T. C., Sharkey, D., Budge, H., & Ojha, S. (2023). Observational cohort study of use of caffeine in preterm infants and association between early caffeine use and neonatal outcomes. Archives of Disease in Childhood. Fetal and Neonatal Edition, 108(5), 505-510. https://doi.org/10.1136/archdischild-2022-324919

Objective: To quantify trends in caffeine use in infants born at

Bronchopulmonary dysplasia prediction models: a systematic review and meta-analysis with validation (2023)
Journal Article
Kwok, T. C., Batey, N., Luu, K. L., Prayle, A., & Sharkey, D. (2023). Bronchopulmonary dysplasia prediction models: a systematic review and meta-analysis with validation. Pediatric Research, 94, 43–54. https://doi.org/10.1038/s41390-022-02451-8

Abstract: Prediction models could identify infants at the greatest risk of bronchopulmonary dysplasia (BPD) and allow targeted preventative strategies. We performed a systematic review and meta-analysis with external validation of identified models.... Read More about Bronchopulmonary dysplasia prediction models: a systematic review and meta-analysis with validation.

Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: Part 1 wearable technology (2023)
Journal Article
Grooby, E., Sitaula, C., Chang Kwok, T., Sharkey, D., Marzbanrad, F., & Malhotra, A. (2023). Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: Part 1 wearable technology. Pediatric Research, 93(2), 413-425. https://doi.org/10.1038/s41390-022-02416-x

Abstract: With the development of Artificial Intelligence techniques, smart health monitoring is becoming more popular. In this study, we investigate the trend of wearable sensors being adopted and developed in neonatal cardiorespiratory monitoring.... Read More about Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: Part 1 wearable technology.