Respiratory Depression Clinical Trial
Official title:
Observation of Respiration Following Regional Anaesthesia With Intrathecal Opioids: a Comparison Between Diamorphine and Fentanyl Combined With Postoperative Morphine PCA Using a Carbon Dioxide Tension and Pulse Oximetry Sensor (TOSCA)
Spinal Administration of opioids offers segmental analgesia, but has side effects including pruritus, nausea and vomiting, urinary retention, hypotension, and respiratory depression, both early and delayed. Many Centres in the UK now routinely use supplementation of spinal anaesthesia from bupivacaine with intrathecal fentanyl or diamorphine. If Fentanyl is used, this is usually accompanied by connection to a i.v. Morphine patient-controlled analgesia (PCA)-device in the postoperative period, whereas the use of intrathecal diamorphine seems to result in a reduction in post-operative morphine requirements, which has obviated the need for PCA devices in many centres. There has been recent controversy over which opioid is safer to use with regards to the risk of respiratory depression.1,2 The investigators want to investigate, whether intrathecal diamorphine causes less or more post-operative respiratory depression in healthy mothers undergoing elective caesarean section than intrathecal fentanyl plus post-operative morphine PCA.
Method:
We will use transcutaneous carbon dioxide tension as our primary outcome measure of
respiratory depression. Secondary outcome measures will be the oxygen-saturation, the
respiratory rare, neurological status assessed by Glasgow Coma Scale (GCS) and the need for
administration of naloxone and/or active airway management.
PtCO2 and SpO2 will be measured transcutaneously using the Linde TOSCA 500 Monitoring
System, which is a relatively new miniaturized single sensor, that is applied to the
earlobe.
There will be 2 study groups.
Group D will be patients at Princess Royal Maternity Hospital in Glasgow, where
supplementation with intrathecal diamorphine 300mcg is the current anaesthetic technique of
choice.
Group F will be patients at the Queen Mother's Maternity Hospital in Glasgow, where
supplementation with intrathecal fentanyl 15mcg plus post-operative morphine PCA is the
current anaesthetic technique of choice for elective caesarean section.
Additional postoperative Analgesia will be given as per local guidelines.
We will recruit 40 patients to each group.
Patients will receive verbal and written information prior to written consent before being
included.
Information Gathering:
The TOSCA monitor will be connected in recovery following the end of caesarean section (with
PCA connection at QMMH). Monitoring will be continuous until 0800hrs the following morning
giving approx. 20 hours data for each patient.
Data will then be downloaded to a database for subsequent analysis. We will also note the
total dose of morphine used in each patient and any complications that occurred or
interventions carried out.
We plan to recruit an SHO on each site to help with information gathering.
Ethics Approval:
Ethics Approval has been obtained by application to the Research Ethics Committee of the
Glasgow Royal Infirmary.
Statistical Analysis
For both CO2 and O2 parameters the mean area under the curve (AUC) will be compared between
the diamorphine and fentanyl groups using a normal linear model. This will enable the
analysis to adjust for any demographic and clinical variables, which are known to influence
either of these indicators of respiratory depression.
There is no previous information in the literature on the variability in area under the
curve for either CO2 concentration or O2 saturation. Any specification of effect size must
therefore be in terms of a number of standard deviations, where the standard deviation is
not known.
We assume that the primary endpoint is the measurement of CO2 over a period of 24 hours and
that this will be quantified in the analysis using area under the curve (AUC). If we compare
the mean AUC between the diamorphine and fentanyl groups using a two sample t-test (with
two-sided significance level 5%) then a study including 40 patients per group would have 80%
power to detect a mean AUC difference between groups of 0.634 standard deviations and 90%
power to detect a mean AUC difference of and 0.851 standard deviations.
Final Statistical Analysis will be carried out in cooperation with Dr Chris Weir from the
Robertson Centre for Biostatistics at the University of Glasgow.
;
Observational Model: Cohort, Time Perspective: Prospective
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