Monitoring tissue oxygenation by near-infrared spectroscopy (NIRS) in air ambulance transports of critically ill children – a methodological study

Status

Completed

Phases

Unknown

Study type

Observational

Source

ANZCTR

Registry ID

ACTRN12617000750381

Enrollment

Registered

2017-05-22

Start date

2014-01-14

Completion date

2016-09-28

Last updated

2017-07-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Near-infrared spectroscopy (NIRS) measures regional oxygen saturation (rSO2) of the underlying tissue and may be a useful additional monitoring tool to already existing medical monitoring equipment during inter-hospital transports. Values are usually read using real time monitor readings on-line, but real-time readings are sometimes unreliable during transport. NIRS data can also be electronically stored by the monitor, for example during the period of transport, and extracted and examined afterwards. However the electronically stored data is associated with a high degree of noise in the signal. The aim of the present study was to investigate how monitoring with near-infrared spectroscopy (NIRS) during pediatric air ambulance transports can be optimized by processing of the electronically stored data using a mathematical algorithm to reduce as much noise as possible in the signal without improperly busting the underlying information,

Interventions

In this methodological study, a cerebral and a somatic (abdominal) Near-infrared (NIRS) sensor were used to register regional oxygen saturation (rSO2) during planned and acute transports of critically ill patients to and from the PICU of a tertiary university hospital Patients (n=38) were transported in air ambulance and connecting ground ambulance (convenience sampling) by a pedaitric specialized transport team. The electronically stored data from the INVOS 5100C was afterwards extracted and examined. In order to reduce as much noise as possible in the NIRS-signal without improperly busting the underlying information the signal was smoothed by using the Savitzky-Golay filtering method. The duration for which the NIRS monitoring took place was from time of departure to arrival at hospital site in all patients. If patients were monitored due to clinical considerations in the PICU before time of departure, this data was also analyzed.

Eligibility

Sex/Gender

All

Age

No minimum to 15 Years

Healthy volunteers

Inclusion criteria

Children transported on an inter-hospital transfer by the specialized pediatric transport team at the Pediatric Intensive Care Unit (PICU) at the Astrid Lindgren Children’s Hospital, Karolinska University Hospital in Stockholm

Exclusion criteria

Lack of informed consent or participation in any other clinical research study.

Outcome results