Infant, Newborn, Diseases Clinical Trial
Official title:
Integrated Prediction of Extubation Outcome by the Spontaneous Breathing Trial in Newborn Infants
Prolonged mechanical ventilation (MV) is associated with significant adverse effects in
newborn infants and clinicians aim at its minimum possible duration. Failed extubation and
need for reintubation is common and further prolongs the duration of MV. Hence, accurate
prediction of readiness for extubation would incur a considerable reduction in respiratory
morbidity.
The Spontaneous breathing Trial (SBT) involves placing the infant on endotracheal continuous
positive airway pressure for five minutes with continuous monitoring of heart rate and oxygen
saturation levels. The infant would pass the test if there is no hypoxia or bradycardia
during the trial. A successful SBT might predict successful extubation.
The respiratory muscles play a crucial role in successful extubation. One simple way to
quantify respiratory muscle function is the rate of relaxation of the inspiratory muscles
that can be depicted by the rate of the decline of the airway pressure signal following a
spontaneous breath.
The hypothesis of the investigator is that respiratory muscle function assessment using the
rate of relaxation of the inspiratory muscles during a SBT can accurately predict extubation
outcomes either independently or in conjunction with the outcome of the SBT and the
variability of the respiratory parameters during the SBT. This could increase the predicting
accuracy of extubation outcomes and thus reduce re-intubation associated respiratory
morbidity.
Prolonged endotracheal mechanical ventilation has significant adverse effects in newborn
infants including subglottic stenosis, bacterial colonisation and bronchopulmonary dysplasia.
Neonatal health professionals aim to limit the period of mechanical ventilation to the
minimum possible duration. The decision to extubate is commonly a clinical one, based on
current ventilator settings, blood gases analysis and the overall clinical condition of the
infant. On the other hand, newborn infants commonly fail extubation and require reintubation
which is a traumatic invasive procedure which could further prolong the total duration of
invasive mechanical ventilation. Thus, accurate prediction of readiness for extubation
outcome will probably incur a notable reduction in respiratory morbidity.
A number of studies have evaluated methods to predict extubation outcome. Of them, the
spontaneous breathing trial (SBT) has been shown to hold the highest predictive value: it
involves placing an infant from invasive mechanical pressure limited time cycled ventilation
ventilation to endotracheal continuous positive end-expiratory pressure (ET-CPAP) for a
period of 5 minutes during which saturation and heart rate are closely monitored. The infant
would pass the test if there is no hypoxia or bradycardia during the test. A successful SBT
has a positive predictive value of 93%, sensitivity of 97% and specificity of 73%. The
combination of a successful SBT with increased variability in respiratory parameters during
the SBT has been reported to further increase the sensitivity of the trial; alas the
specificity remains below 75%.
It should be noted that at King's College Hospital the SBT forms part of routine clinical
care as per clinical guideline and it is at the discretion of the attending physician to
conduct the trial prior to extubation.
The work of breathing is undertaken by the respiratory muscles. Impaired respiratory muscle
function is associated with a higher risk of respiratory muscle fatigue and respiratory
failure and need for mechanical ventilation. Respiratory muscle function has been identified
as an independent predictor of extubation outcome in mechanically ventilated infants. One
simple way to quantify respiratory muscle function is the rate of relaxation of the
inspiratory muscles which can be depicted by the rate of the decline of the airway pressure
signal following a spontaneous breath. In concept, inefficient muscle function is manifested
by a more gradual drop to baseline of the airway pressure over time. The principle on which
the method is based is that when skeletal muscles contract against increased external loads,
their relaxation slows as a result of slower calcium uptake by skeletal muscle fibres. In
terms of physical properties, fatigued muscle fibres take longer to relax after contraction
and this reduction in the relaxation rate can be quantified by an increase in the time
constant of relaxation and a decrease in the maximal relaxation rate.
The rate of relaxation of the inspiratory muscles has been shown to accurately describe
respiratory muscle function in non-neonatal populations. The information on the inspiratory
muscle rate of relaxation is readily available in the ventilator graphics which, as part of
routine clinical care, use a pressure port and a flow sensor to record airway flow, delivered
volume and pressure over time. To the knowledge of the investigator, the potential value of
this information in predicting extubation outcome in newborn infants has not been explored to
date.
Typically, respiratory muscle dysfunction would occur in premature infants owing to
immaturity, decreased muscle mass and prematurity-associated co-morbidities. Furthermore
infants with Congenital Diaphragmatic Hernia (CDH) and Anterior Wall Defects (AWD) such as
gastroschisis and exomphalos, have also been reported to have impaired respiratory muscle
function which could probably preclude timely successful extubation. King's College Hospital
provides care for a large number of infants with CDH and AWD while also has a long tradition
in the assessment of respiratory muscle function in infants making it the ideal site to
recruit infants with CDH and AWD.
The hypothesis of the investigator is that respiratory muscle function assessment using the
rate of relaxation of the inspiratory muscles during SBT can accurately predict extubation
outcome. This prediction might stand independently for the rate of relaxation or in
conjunction with SBT-derived respiratory function parameters such as the outcome of the SBT
and the variability of respiratory parameters during the SBT. An integrated algorithm
incorporating respiratory muscle function data could thus be produced. This would be
validated in a large cohort and could increase the prediction accuracy of extubation outcome
and thus reduce re-intubation associated respiratory morbidity.
This will be a prospective, observational cohort study. Aims of the study are to measure the
rate of relaxation, airway flow, airway pressure, tidal volume and transcutaneous oxygen
saturation in all planned extubations over the coming 12 months in the neonatal unit at
King's College Hospital. Data to be recorded include basic epidemiologic parameters such as
gestation at birth, birth weight, corrected gestational age at measurement, day of life,
weight at measurement, blood gas parameters within 6 hours of the SBT and associated
co-morbidities that might impact on the success of the SBT such as open ductus arteriosus and
current evidence of infection. Infants with known genetic or chromosomal abnormalities,
infants with congenital anomalies other than CDH or AWD and infants with focal acute lung
pathology such as atelectasis or pneumothorax will be excluded from the study.
Based on the unit's activity over the past two chronological years, the investigators
anticipate that with a successful consent rate of 80% it will be possible to measure 100
infants in total: 40 premature infants, 40 term infants and 20 infants with CDH and AWD. As
this is a novel index, direct power calculation cannot be undertaken before the commencement
of the study. An interim power calculation based on pilot data will be conducted half way
through the project at six months, to determine the required sample size. The investigators
believe however, that given that previous studies with similar outcome measures incorporated
significantly smaller numbers of participants, the achieved sample size will be sufficient
for the objectives of the study to be achieved.
Inform written consent will be requested from the parents or legal guardians of the infants
and the attending Neonatal Consultant will be requested to assent to the study.
When the clinical team decides an infant is ready for extubation, the investigator will
switch the ventilator to ET-CPAP at the same pressure as the positive end expiratory pressure
during mechanical ventilation. Airflow, integrated tidal volume and airway pressure will be
recorded with the NM3 respiratory function monitor (Philips Respironics, Connecticut, USA).
The monitor will be connected to a Laptop (Dell Latitude, Dell, Bracknell, UK) with
customised Spectra software (3.0.1.4) (Grove Medical, London, UK). The NM3 respiratory
profile monitor has a combined pressure, flow and carbon dioxide sensor and this will be
placed in line between the inspiratory limb of the ventilator circuit and the endotracheal
tube. The NM3 monitor is automatically calibrated for flow and pressure. Flow will be
measured using a fixed orifice pneumotachograph. One of the tubes from the pneumotachograph
will be connected to a second pressure transducer to measure airway pressure. Oxygen
saturation and heart rate monitoring will also be performed.
A failed SBT will be recorded if the infant has either a bradycardia for more than 15 seconds
and/or a fall in SpO2 below 85% despite a 15% increase in FIO2. At this point the study will
be stopped and ventilation will be restarted.
Infants will be extubated to either nasal CPAP or high flow nasal cannula oxygen at the
clinician's discretion.
The primary study outcome will be reintubation within 72 hours of extubation. The indications
for reintubation will be: (a) more than six episodes of apnoea requiring stimulation in six
hours, or more than one significant episode of apnoea requiring bag and mask ventilation; (b)
respiratory acidosis: PaCO2 >8.5 kPa and pH,7.25; (c)FIO2>0.60 to maintain SpO2 in the range
of 90-95%.
If the infant has either bradycardia for more than 15 seconds and/or a fall in SpO2 below 85%
despite a 15% increase in FIO2, the study will be stopped and ventilation will be restarted.
Strict infection control policies will be followed according to the unit's guidelines.
Data will be stored until the child is 25 years old. Continuous outcomes will be compared
between premature and term infants and between term infants and infants with CDH/AWD.
Student's t test will be used when the data are normally distributed and Mann-Whitney U test
when skewed. Categorical data will be assessed using the Fisher two tailed exact test. P<0.05
will be considered significant. The ability of respiratory variables to accurately
discriminate between successful and failed extubation will be assessed using receiver
operating characteristic curves. A value of the area under the curve of 0.5 will indicate no
discriminatory value, and a value >0.8 will suggest a high predictive value. Standard
formulae will be used to calculate sensitivity, specificity, and positive and negative
predictive values and likelihood ratios. Statistical analyses will be performed using SPSS
software (SPSS Inc, Chicago, Illinois, USA).
The investigators anticipate that by incorporating information on respiratory muscle function
during the SBT, it will be possible to create an algorithm that will accurately predict
extubation outcome in mechanically ventilated infants. The investigators also want to
demonstrate that the rate of respiratory muscle relaxation might be different in premature
infants, in full-term infants and in infants with surgically corrected anomalies such as CDH
and AWD. These results will be incorporated in local clinical practice and form a guideline
on "when to safely extubate" infants on mechanical ventilation. This will reduce respiratory
morbidity associated both with prolonged ventilation as well as with failed extubation and
re-intubation.
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