Development of a Morphine Pharmacokinetic and Pharmacodynamic Model for the Neonatal Population
|ClinicalTrials.gov Identifier: NCT03035578|
Recruitment Status : Withdrawn (research project has been abandoned primarily because of the excessive delays associated with past challenges in obtaining approval from Health Canada)
First Posted : January 30, 2017
Last Update Posted : February 25, 2020
|Condition or disease||Intervention/treatment||Phase|
|Pain Drug Effect||Drug: Morphine||Phase 1 Phase 2|
Critically ill immature preterm infants experience multiple noxious stimuli while receiving care in the Neonatal Intensive Care Unit (NICU). These noxious stimuli include, but are not limited to: venipuncture; insertion of intravenous and arterial catheters; suctioning of the nose, mouth and oropharynx; endotracheal intubation for mechanical ventilation; insertion of chest drains; repositioning and other types of patient manipulation. The delivery of optimal doses of analgesics for these noxious stimuli is a major challenge due to the lack of knowledge about drug disposition and its effects in this patient population.
Morphine is the commonest analgesic used in the NICU. The Premature Infant Pain Profile (PIPP) is used to quantify pain in the NICU1. This objective score, which combines physiological and behavioural variables defining levels of discomfort, is used as a guide for the use of morphine in newborn infants. Multidimensional pain assessment tools, such as PIPP, can easily identify behaviour in healthy infants undergoing painful events, however, its efficiency is questionable when applicable to critically ill premature infants with neurological impairment, where the pain processing and modulation may be altered. Pharmacokinetics/Pharmacodynamics (PKPD) models can be used to quantitatively describe and predict drug disposition in the blood and the target organ (e.g., brain) in relation to doses and patient characteristics. Although there has been a global effort to describe morphine plasma levels in this population using a pharmacokinetic modelling approach2-5, PKPD model development has not been reported. The study of morphine pharmacokinetics to determine the optimal dose for balancing analgesia/sedation together with the design of pharmacodynamic model for morphine may provide a better understanding of nociception/pain profile based on the physiological variables of immature infants. Moreover, the PKPD model may be used to achieve optimal therapeutic effects through individualised model-based dose selection. Objective: This study is composed by four main objectives:
- First: Define target morphine plasma and brain concentrations. To this end, we will develop a morphine PKPD model based on population PK characteristics and morphine effects captured by functional readout of central nervous system function;
- Second: Develop an opportunistic sampling method for fragile populations based on saliva sampling;
- Third: Compare pharmacokinetic parameters calculated from saliva with plasma sample;
- Fourth: Application of the morphine PKPD model for prediction of optimal morphine dosing in individual patients using the Bayesian framework of model refinement.
|Study Type :||Interventional (Clinical Trial)|
|Actual Enrollment :||0 participants|
|Intervention Model:||Single Group Assignment|
|Masking:||None (Open Label)|
|Primary Purpose:||Basic Science|
|Official Title:||Development of a Morphine Pharmacokinetic and Pharmacodynamic Model for the Neonatal Population|
|Estimated Study Start Date :||December 1, 2017|
|Estimated Primary Completion Date :||June 1, 2018|
|Estimated Study Completion Date :||June 1, 2019|
Experimental: Morphine Blood and Saliva sampling
The infants will receive a 50 mcg/kg loading dose of morphine followed by a constant infusion.Morphine Injection: 10mg/mL, 1mL ampoules.Two strengths of stock syringes:
a)patients <1.5kg, morphine 0.5mg/25mL; b)patients 1.5kg to <5kg, morphine 1mg/25mL.
Time blood samples will be collected for measurement of whole blood concentration of morphine in 24h. Total morphine, morphine-3-glucuronide and morphine-6-glucuronide concentrations; volume of blood required is 0.25 ml. Sparse sampling strategy will be used for those neonates < 1250; total volume of blood required is 0.50 ml. Frequent sampling strategy will be used for those neonates ≥ 1250 gm; total volume of blood required is 0.50 ml.Saliva samples will be collected at 10 and 30 minutes and at 6, 12 and 24h after morphine infusion started.100 uL of saliva, captured using a collection swab.
Sampling blood for development of Morphine Pharmacokinetic/Pharmacodynamic Model for Neonatal Population
Sampling saliva for development of Morphine Pharmacokinetic/Pharmacodynamic Model for Neonatal Population
- Target Morphine Plasma Concentration [ Time Frame: 12 months (blood sampling and modeling) ]Sparse sampling coupled with population (mixed effects) method will be used to design the morphine pharmacokinetics phase. This method captures pharmacokinetics data from many subjects (learning about population), which are based on a relatively few number of samples per patient (learning about individual characteristics considering the large number of samples).Population pharmacokinetic parameters will be estimated using a non-linear mixed effects modelling with NONMEM software.
- Brain Morphine Concentrations [ Time Frame: 12 months (a-eeg collection and modeling) ]The drug effect will be design using the sigmoid modelling. The effect of drugs modeled by relating drug effect to the drug concentration (obtain in the primary outcome). The pain scores and amplitude-integrated electroencephalography (aEEG) will be used as markers of drug effect on the central nervous system for the development of the pharmacodynamic model. The effect-site concentration will be validated by comparing the predicted time of peak effect with the time of peak effect of aEEG effect. Heart rate, respiratory rate, blood oxygen saturation, and blood pressure will be captured continuously through neonatal computational platform with the intent to investigate, other pharmacodynamic relationship using the sigmoid modelling.