QSPainRelief-patientCNS : Clinical Biomarkers of Nociception, Sedation and Cognition

Post-operative Pain Clinical Trial

Official title: Clinical Calibration and Evaluation of the QSPainRelief Platform in Patients With Disabling Pain Using Functional Biomarkers of Nociception, Sedation and Cognition

Status Not yet recruiting

Clinical Trial Summary

QSPainRelief-patientCNS is a monocentric prospective longitudinal study conducted in patients suffering from disabling post-surgical pain for which the treating physician is about to prescribe a given drug combination for the treatment of their pain with the aim of identifying measures of drug-induced effects on CNS activity that could be used as biomarkers of real-life clinical outcome, both in terms of desired treatment effects (treatment-induced pain relief) but also in terms of undesired treatment effects (treatment-induced sedation and treatment-induced cognitive dysfunction).

Clinical Trial Description

QSPainRelief-patientCNS is one of three clinical studies that will be conducted as part of the QSPainRelief project funded by the European Union's Horizon 2020 research and innovation program (grant agreement 848068; http://qspainrelief.eu).

Chronic pain is a complex disease affecting about 20% of Europeans, and up to 60% of patients with chronic pain do not experience adequate pain relief from currently available analgesic combinational therapies and/or suffer confounding adverse effects. Of the many conceivable combinations, only a few have been studied in formal clinical trials. Thus, physicians have to rely on clinical experience when treating chronic pain patients. The vision of the QSPainRelief project is that alternative novel drug combinations with improved analgesic and reduced adverse effects can be identified and assessed by mechanism-based Quantitative Systems Pharmacology (QSP) in silico modelling. The QSPainRelief consortium will setup, calibrate and validate an in silico QSPainRelief platform which integrates recently developed (1) physiologically based pharmacokinetic models to quantitate and adequately predict drug pharmacokinetics in human CNS, (2) target-binding kinetic models; (3) cellular signaling models and (4) a proprietary neural circuit model to quantitate the drug effects on the activity of relevant brain neuronal networks, that also adequately predicts clinical outcome.

Calibration of the QSPainRelief platform modelling the biological processes and neuronal circuits underlying the pain relief and adverse effects induced by drug combinations requires patient data on how different drug combinations affect the central processing of nociceptive input, the central processes underlying pain modulation, as well as the central nervous system (CNS) networks underlying drug-induced adverse effects. After calibration of the QSPainRelief platform, additional patient data is required to evaluate the ability of the platform to actually predict CNS effects of drug combinations in patients. Finally, real-world evidence is needed to relate the effects of drug combinations on CNS activity with the therapeutic and adverse effects self-reported by the patients.

The aims of the QSPainRelief-patientCNS study are thus two-fold.

The first aim is to obtain data from a first set of 60 patients to calibrate the QSPainRelief platform, and from a second set of 120 patients to evaluate the ability of the QSPainRelief platform to predict therapeutic and adverse effects of drug combinations. It will focus on pain relief and its impact on daily life activities as therapeutic effects, and on drug-induced sedation, drug-induced cognitive dysfunction (memory and attention) and pain medication misuse as adverse effects. These adverse effects have been chosen because (1) CNS biomarkers sensitive to drug-induced sedation and drug-induced cognitive dysfunction can be readily obtained using non-invasive measurements of the electroencephalogram (EEG) and (2) the chosen adverse effects can be assessed in patients after a short treatment period using validated patient-reported outcome measures (PROMs).

The second aim is to identify measures of drug-induced effects on CNS activity that could be used as biomarkers of real-life clinical outcome, both in terms of desired treatment effects (treatment-induced pain relief) but also in terms of undesired treatment effects (treatment-induced sedation and treatment-induced cognitive dysfunction). ;

Related Conditions & MeSH terms

• Pain, Postoperative
• Post-operative Pain

• NCT number: NCT04742790
• Study type: Interventional
• Source: Université Catholique de Louvain
• Contact: André Mouraux, MD, PhD
• Phone: +32 2 764 54 47
• Email: andre.mouraux@uclouvain.be
• Status: Not yet recruiting
• Phase: N/A
• Start date: March 15, 2021
• Completion date: September 30, 2024