PRediction of Vagal Nerve Stimulation EfficaCy In Drug-reSistant Epilepsy

NCT ID: NCT04935567

Last Updated: 2021-06-23

Basic Information

• Recruitment Status: NOT_YET_RECRUITING
• Clinical Phase: NA
• Total Enrollment: 120 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2021-12-01
• Study Completion Date: 2026-12-31

Brief Summary

Vagal nerve stimulation (VNS) can be indicated in patients with drug-resistant epilepsy who are not eligible for resective epilepsy surgery with responders rates about 50% (≥50% seizure reduction). At the moment, there is not a widely-accepted possibility to predict VNS efficacy in a given patient based on pre-implantation data, which can lead to unnecessary surgery and improper allocation of financial resources. The principal aim of PRECISE (PRediction of vagal nerve stimulation EfficaCcy In drug-reSistant Epilepsy) study is to verify the predictability of VNS efficacy by analysis of pre-implantation routine EEG. The PRECISE relies on the results of our previous work, which developed a statistical classifier for VNS response (responders vs. non-responders) based on differences in EEG power spectra dynamics (Pre-X-Stim). PRECISE is designed as a prospective multicentre study in which patients indicated to VNS therapy will be recruited. Patients will be classified as predicted responders vs. predicted non-responders using pre-implantation EEG analyses. After the first and the second year of the study, the real-life outcome (responder vs. non-responder) will be determined. The real-life outcome and predicted outcome will be compared in terms of accuracy, specificity, and sensitivity. In the meantime, the patients will be managed according to the best clinical practice to obtain the best therapeutical response.

Detailed Description

The patients will be recruited within cooperating epilepsy centres. The recruitment limited to cooperating centres will ensure the correct indication for VNS therapy and the adjustment of VNS parameters according to the best medical practice, which are not part of the study protocol itself, but are crucial for the study results.

The VNS will be indicated in a given patient based on a clinical decision as a standard of patient´s therapy (i.e., the indication of VNS is not a part of the proposed project). The patient will be informed about the study on a pre-implantation visit or by a phone call, during which initial eligibility for the study will be determined, and study protocol and design will be explained by research staff.

G. Assessment 0 - pre-implantation assessment Assessment 0 includes screening for eligibility criteria and obtaining baseline data on subjects participating in the study. After the signature of informed consent, the patient will be given a unique code by which all data will be labelled. The demographic information, health history, including psychiatric disease and type of epilepsy, concomitant medication (AEDs and other drugs), and seizure frequency will be collected. The seizure frequency will be analysed based on the patient diary. Standard EEG will be recorded according to the protocol described below.

Protocol for EEG recording The EEG will be recorded on the EEG recording system with a sampling frequency of 250 Hz or higher, with electrodes placed on the scalp according to 10-20 system (electrodes names as follows: Fp1, Fp2, F7, F3, Fz, F4, F8, T3, C3, Cz, C4, T4, T5, P3, Pz, P4, T6, O1, and O2). Different electrodes names are allowed, but their position must correspond with the position of previously defined electrodes. Additional electrodes are also allowed, but will not be evaluated within the study. EEGs with lower numbers or different positions of electrodes are not allowed.

The EEG is recorded in a supine position with eyes closed except for periods with eyes opening. The recorded EEG will have a duration of 20 minutes or more and must contain defined segments in the following order (Figure 1):

Segment 1 - Rest 1 - duration at least 2 min Segment 2 - Eyes opening/closing - duration at least 10 s Segment 3 - Rest 2 - duration at least 10 s; immediately after eye closure Segment 4 - Photic stimulation - stimulation frequencies: 5 Hz (10 s) - 10 Hz (10 s) - 15 Hz (10s) - 20 Hz (10 s) - 25 Hz (10 s) - 30 Hz (10 s) - 25 Hz (5 s) - 20 Hz (5 s) - 15 Hz (5 s) - 10 Hz (5 s) - 5 Hz (5 s); light intensity at least 0.7 Joule Segment 5 - Hyperventilation - duration at least 4 min (2 minutes hyperventilation by nose + 2 minutes hyperventilation by mouth) Segment 6 - Eyes opening/closing - duration at least 10 s Segment 7 - Rest 3 - duration at least 10 s, immediately after eye closure Segment 8 - Rest 4 - duration at least 2 minutes The recorded EEG will be anonymized and labelled by a unique code previously attributed to a patient. In the next step, the EEG will be sent for mathematical/statistical processing. Based on this processing, the patients´ predicted response to VNS will be determined in terms of predicted responders (seizure reduction ≥ 50%) vs. predicted non-responders (seizure reduction < 50%). Neither the patient nor the physician will be informed about the classification results.

Follow-up assessments - Assessments 1, 2 Two assessments are designed in patients´ follow-up: Assessment 1 - 1 year after stimulation initialization and Assessment 2 - 2 years after stimulation initialization.

Assessment 1, 2 The patients will be evaluated 1 and 2 years after stimulation initialization. The patient will be asked about changes in health history, including psychiatric disease, concomitant medication (AEDs and other drugs), VNS parameters setting, and seizure frequency. The seizure frequency will be collected by reviewing patients 'diary. The reported seizure frequency will be compared with pre-implantation seizure frequency, and real-life response will be calculated in terms of real-life responders (seizure reduction ≥ 50%) or real-life non-responder (seizure reduction < 50%). If the patient does not tolerate at least the minimal VNS setting (0.75 mA) because of serious adverse events, he/she will be excluded from further analysis (the patient´s data will be reported separately).

The information collected in Assessment 1 and 2, including real-life response to VNS, will be labelled by the patient´s unique code and will be sent to the coordinating centre, where it will be compared with the patient´s predicted response.

At the end of Assessment 2, the patient will be asked if he/she is interested in the predicted response to VNS. If yes, the study physician will contact the coordinating centre, where the predicted response for a given patient will be conveyed. The patient will be informed about the predicted response by a phone call or during a regular visit (not a part of the study protocol, described below).

The study is concerned with the verification of the real-life validity of our statistic classifier for the prediction of VNS response based on pre-implantation EEG. The patients based on the pre-implantation EEG will be classified based on their predicted response as predicted responders (≥50% seizure reduction) vs. predicted non-responders (<50% seizure reduction). In Assessment 1 a 2, respectively, the patients´ real-life response will be determined: real-life responders (≥50% seizure reduction) vs. real-life non-responder (< 50% seizure-reduction). The predicted and real-life responses will be statistically compared in terms of accuracy, sensitivity, and specificity.

The individual patients´ groups (predicted responders vs. predicted non-responders, real-life responders vs. real-life non-responders) will be compared based on their demographic data, health history, AEDs, and VNS parameter. A suitable statistical test will be chosen concerning the data´s characteristics (Pearson´s Chi-squared test for categorical variables, Wilcoxon-Mann-Whitney test for continuous variables).

Conditions

Drug Resistant Epilepsy

Study Design

• Allocation Method: NON_RANDOMIZED
• Intervention Model: SINGLE_GROUP
• Primary Study Purpose: DIAGNOSTIC
• Blinding Strategy: NONE

Study Groups

Predicted responders

Patients indicated VNS therapy as their standard for clinical care and are concerned about the prediction of VNS efficacy based on pre-implantation EEG, (≥50% seizure reduction).

Group Type: EXPERIMENTAL

Statistical model for the prediction of VNS efficacy

Intervention Type: OTHER

statistical model for the prediction of VNS efficacy based on a mathematical and statistical analysis of scalp EEG data

Predicted non-responders

Patients indicated VNS therapy as their standard for clinical care and are concerned about the prediction of VNS efficacy based on pre-implantation EEG, (\<50% seizure reduction).

Group Type: ACTIVE_COMPARATOR

Statistical model for the prediction of VNS efficacy

Intervention Type: OTHER

statistical model for the prediction of VNS efficacy based on a mathematical and statistical analysis of scalp EEG data

Interventions

Statistical model for the prediction of VNS efficacy

statistical model for the prediction of VNS efficacy based on a mathematical and statistical analysis of scalp EEG data

Intervention Type: OTHER

Other Intervention Names

the verification of the real-life validity of the statistic classifier for prediction of VNS response based on pre-implantation EEG

Eligibility Criteria

Inclusion Criteria

• Drug-resistant epilepsy indicated to VNS based on clinical decision.
• Drug-resistant epilepsy is defined as a failure of adequate trials of two tolerated, appropriately chosen, and used antiepileptic drug schedules (whether as monotherapy or in combination) to achieve sustained seizure freedom (Kwan et al., 2010).
• Age ≥ 18 years
• Availability to record 20 minutes of EEG with photic stimulation, hyperventilation, and eye-opening/closing according to the pre-defined protocol.
• Availability of seizure diaries at least three months before VNS implantation OR reliable information about seizure frequency at least three months before VNS implantation
• The ability of a patient/family member/caregiver to record seizures precisely into seizure diaries OR the ability of a patient/family member/caregiver to report seizures precisely different ways.
• In cases with very high seizure frequency (several seizures per day), it is acceptable to report only the days without any seizures.

Exclusion Criteria

• The indication and planning of resection brain surgery as a treatment option for drug-resistant epilepsy. If a patient clearly demonstrates his refusal of resection surgery, he/she can be included in the study.
• The presence of psychogenic non-epileptic seizures which cannot be reliably distinguished from epileptic seizures by a patient/family member/caregiver.
• The presence of other condition which can resemble epileptic seizures which cannot be reliably distinguished from epileptic seizures by a patient/family member/caregiver.
• Metabolic condition or other diseases, in which the increase of seizure frequency is expectable.
• The inability of a patient to take regular visits which are required for VNS parameters settings or the study
• Life expectancy shorter than two years

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 85 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

St. Anne's University Hospital Brno, Czech Republic

OTHER

Sponsor Role: collaborator

University Hospital, Motol

OTHER

Sponsor Role: collaborator

Na Homolce Hospital

OTHER

Sponsor Role: collaborator

Masaryk University

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Milan Brazdil, Prof.

Role: PRINCIPAL_INVESTIGATOR

University Hospital st. Anne´s Brno

Locations

University Hospital St. Anne´s Brno

Brno, , Czechia

Countries

Czechia

Central Contacts

Milan Brazdil, Prof.

Role: CONTACT

milan.brazdil@fnusa.cz

+420 543 182 684

Irena Doležalová, MD

Role: CONTACT

irena.dolezalova@fnusa.cz

+420 543 182 654

Facility Contacts

Milan Brazdil, Prof.

Role: primary

milan.brazdil@fnusa.cz

+420543182654

Irena Doležalová, Assoc. Prof.

Role: backup

irena.dolezalova@fnusa.cz

+420543183324

References

Dolezalova I, Koritakova E, Souckova L, Chrastina J, Chladek J, Stepanova R, Brazdil M. Prediction of Vagal Nerve Stimulation Efficacy in Drug-Resistant Epilepsy (PRECISE): Prospective Study for Pre-implantation Prediction/Study Design. Front Neurol. 2022 Mar 21;13:839163. doi: 10.3389/fneur.2022.839163. eCollection 2022.

Reference Type: DERIVED

PMID: 35386419 (View on PubMed)

Other Identifiers

PRECISE-21

Identifier Type: -

Identifier Source: org_study_id