All Outputs (9)

Identifying neonatal transport research priorities: a modified Delphi consensus (2024)
Journal Article
Mistry, A., Leslie, A., Ojha, S., & Sharkey, D. (2024). Identifying neonatal transport research priorities: a modified Delphi consensus. Archives of Disease in Childhood. Fetal and Neonatal Edition, https://doi.org/10.1136/archdischild-2024-327213

Objectives: With increasing advances in neonatal transport, a focused research strategy is required to increase the evidence base towards providing optimal care. We aimed to identify the most important neonatal transport research questions as priorit... Read More about Identifying neonatal transport research priorities: a modified Delphi consensus.

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.

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.

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.

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.

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

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.

Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring. Part 2: artificial intelligence (2022)
Journal Article
Sitaula, C., Grooby, E., Kwok, T. C., Sharkey, D., Marzbanrad, F., & Malhotra, A. (2023). Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring. Part 2: artificial intelligence. Pediatric Research, 93(2), 426-436. https://doi.org/10.1038/s41390-022-02417-w

Background: With the development of Artificial Intelligence (AI) techniques, smart health monitoring, particularly neonatal cardiorespiratory monitoring with wearable devices, is becoming more popular. To this end, it is crucial to investigate the tr... Read More about Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring. Part 2: artificial intelligence.