PARS 研究：儿科高级呼吸服务研究 - 观察性诊断可行性研究 (PARS)

Sleep diagnostics

The investigation of sleep disordered breathing (SDB) in children can be challenging given the requirement to apply sensors/bands that measure physiological changes as part of a cardiorespiratory sleep study (CR-poly). Children with sensory/behavioural issues, who have an increased risk of SDB, often find tolerability of standard diagnostic equipment difficult. Similarly, the usefulness is limited in low weight infants. Thus, there is a need to investigate novel devices which may provide sleep diagnostic information when a CR-poly may be inappropriate or challenging. A wearable respiratory rate (RR)/effort sensor can provide continuous remote monitoring of patients and may identify abnormal breathing patterns associated with SDB.

Central apnoea and abnormal breathing patterns in neonatal patients

Babies born prematurely can often have apnoea of prematurity requiring caffeine therapy. Similarly, term (or term corrected) infants can have immature breathing control which manifests as excessive central breathing pauses whilst asleep requiring oxygen therapy. There is also a risk to newborn term infants of sudden unexpected collapse, even in "low risk" babies. Diagnosis of breathing issues in babies can be challenging since babies are often too small for standard CR-poly equipment. We aim to use the Pneumowave sensor alongside other diagnostic equipment to assess the feasibility of using this novel sensor to aid diagnosis in the post-natal period and pre-discharge from neonatal unit. Currently, newborn infants receive no standard respiratory monitoring following delivery. We aim to use the Pneumowave sensor as an indicator of altered respiratory patterns in this patient group.

Apnoeas in patients attending the epilepsy monitoring unit

Children with epilepsy are at risk of epileptic apnoea during a seizure (ictal) or post-ictal apnoea following an epileptic seizure. Epileptic and post-ictal apnoea have been implicated as causes of sudden unexpected death in epilepsy (SUDEP). Epilepsy affects approx. 50 million people worldwide. The risk of SUDEP varies in different underlying causes of epilepsy but is estimated to be the cause of 1.2 deaths for every 1,000 children with epilepsy each year. We aim to use the Pneumowave sensor alongside other diagnostic equipment to assess the feasibility of using this novel sensor to detect ictal and post-ictal apnoea in children attending inpatient EEG video-telemetry monitoring. There are no clinical or commercially-available reliable sensors to detect epileptic apnoea. We aim to use the Pneumowave sensor as an indicator of altered respiratory patterns in this patient group and assess whether data can be reliably collected in the context of an epileptic seizure.

PneumoWave Ltd Device

PneumoWave Ltd is developing a small, chest-worn, ambulatory biosensor ("Pneumowave") to detect changes in a range of respiratory metrics. This physical monitor is linked wirelessly via Bluetooth to a central monitoring systems in the form of a mobile platform app (running on a smartphone or tablet). Real-time data analysis, event detection and alert response management algorithms will eventually be are located in the hub, mobile app - they are currently in the cloud depending on the device configuration.

The proposed technology, Pneumowave device, will be used in the diagnosis, treatment and monitoring of illness, and therefore must be regulated as a Class 2 Medical Device in accordance with the regulatory framework in each country of use. To achieve this, PneumoWave Ltd first intends to develop a device capable of detecting adverse respiratory events in the hospital setting where immediate attendance to alerts is available. Further technical development will be required prior to the submission for regulatory approval of a device that is suitable for use in the community where there may be a longer time before a response is activated.

This hospital study aims to compare the PneumoWave Ltd monitoring system with the current clinical standard for such monitoring in a range of hospital-based clinical services.

The studies will observe three distinct patient groups:

Group 1: Patients attending for an overnight CR-poly Group 2: Patients who are at risk of apnoea in the neonatal unit Group 3: Patients who are at risk of apnoea in the epilpsey monitoring unti