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| ID | Type | Description | Link |
|---|---|---|---|
| 33/2023/DISP/AOUMO | Other Identifier | AOU MO - Ministero della Salute | |
| 127/2023/DISP/AOUMO | Other Identifier | AOU MO - Ministero della Salute |
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| Name | Class |
|---|---|
| Azienda Ospedaliera Universitaria Federico II (AOU Federico II) | UNKNOWN |
| Azienda Sanitaria Universitaria Giuliano Isontina [ASUGI], Università di Trieste, Italy | UNKNOWN |
| Ospedale Pediatrico Bambino Gesù, Rome (IT) |
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With this study the Investigator expects to develop a precise patient-centered model of care by means of home ultra-long-term EEG monitoring with a minimally invasive wearable EEG device (sqEEG).
The following aims will be pursued:
The investigator expects to use this wearable at-home EEG device to obtain an objective quantification of electrographic and electro-clinical seizures over a twelve-week period up to twenty-four weeks at home. The precise quantification of seizures is essential for a tailored treatment approach and to effectively monitor the response to treatment adjustments.
The potential innovation of this approach relies on the possibility of managing the patient at home, reducing the side effects related to hospitalization and objectively quantifying the disease burden in the real-life setting with the aim of improve globally the patients' quality of life.
Initial screening of the subjects.
Subjects with DEE or rare epilepsies with uncontrolled seizures and previously investigated in outpatients epilepsy clinics and in the Epilepsy Monitoring Unit (EMU) will be evaluated by review of the medical records.
The aim is to select subjects in whom assessment of seizure frequency is extremely relevant for their clinical management, including adjustment of medicines and need of support measures in their daily life. The indication to recruit also patients with epilepsy and intellectual disabilities is supported by the evidence that in these patients, either when living at home or in institutions, it is particularly difficult to have an objective assessment of their seizure frequency and of the response to treatment or to treatment adjustments. The use of sqEEG in this group of patients is therefore expected to provide extremely valuable information on the disease severity (i.e. seizure frequency) and the epilepsy modification following treatment changes.
The subjects will be selected regardless of a diagnosis of focal or generalized epilepsy, and regardless previous surgical treatments.
Recruitment and consent. The written consent form will be presented and discussed with the subject/legal guardians; all questions related to the informed consent will be answered. In all cases patients will receive detailed information regarding the procedure and purposes.
Study plan The project design includes two sequential parts, 'Part 1' which is a short-term study evaluating sqEEG compared to standard EEG monitoring. 'Part 2' represent the core of the project and consists of the ultra-longterm sqEEG monitoring at home for at least 12 weeks (up to 24 weeks).
Study Part 1:
Subjects selection and recruitment
Implantation of subcutaneous EEG electrodes by a surgeon/neurosurgeon. The implantation procedure will take care to place subcutaneously the electrode contacts over the site of the seizure focus as defined by a previous epilepsy data of the patients. The implantation will be unilateral in case of documented unilateral ictal epileptic discharges, or generalized epilepsies. In patients with independent bilateral seizure onset the implant will be bilateral.
Earliest 10 days after the surgical procedure, the subjects will be admitted to the EMU as part of clinical practice activity at the investigational site, with the aim of recording their seizures both with video-EEG and sqEEG. This will allow the Neurologist:
Admission in EMU will last from 2 days to 2 weeks based on the number of seizures recorded (one electrographic or electroclinical seizure recorded on scalp EEG is advisable). At the end of EMU admission, seizure identification and quantification will be performed independently by the personnel of EMU and by the reviewer of sqEEG data. Both will be blinded of each other's results. Then the results will be compared.
Study Part 2:
The subject will proceed to the home-monitoring study. Aim of the extended study is to assess sensitivity of seizure detection of sqEEG in comparison to subject's diary in the daily environment, and the tolerability and safety of sqEEG in a period of at least 3 months.
Study protocol of the extended part:
At every week after discharge, a review by visual inspection of one week EEG data will be performed, and assessment of the reportability of the sqEEG in comparison to subject's diary, tolerability and safety of the device will be evaluated.
Evaluation of the EEG data by the algorithm for automatic seizure detection will be performed blinded from the results of the visual analysis. In addition, an evaluation of the potential individual clinical impact of the data obtained will be performed.
Visual review of the EEG: a neurophysiology technician trained in reading the sqEEG data will review the raw data from EpiSight (the software for the visualization of sqEEG data, who is part of the device) to identify seizure events blinded from the subject's seizure diary. The detected events will be validated by a supervision of an expert clinical neurophysiologist.
Assessment of tolerability and safety: eventual complaints about tolerability will be collected from the subject and the diary. Side-effects, reported by the subject and in the diary will be analyzed as classified as described above.
Evaluation of the algorithm for automatic seizure detection (ASD): the sqEEG data will be analyzed by the ASD algorithm; the results of the ASD algorithm will be reviewed by investigators blinded from the results of the visual analysis.
Assessment of potential clinical impact: the results of the 3-6 months sqEEG monitoring will be evaluated in terms of their possible impact on patient's management by evaluating its usefulness:
After 12 weeks of home sqEEG monitoring, subjects will terminate the clinical study and the subscalp electrode is removed. A further follow-up visit will be planned per clinical practice in the months after study termination.
If the doctor and patient judge the device useful an extension study period of other 12 weeks is allowed (to reach 24 weeks).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Experimental Group | Experimental | Patients with drug-resistant epilepsies. Age > 12 years |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Ultra-longterm EEG monitoring at home by means of a scubscalp electrode implant. | Device | Subjects with uncontrolled seizures previously investigated in outpatients epilepsy clinics and for whom an admission to the Epilepsy Monitoring Unit is indicated by clinical practice, will be screened for eligibility. Implantation of subcutaneous EEG electrodes will be done at each Research Unit by a neurosurgeon/surgeon. The implantation procedure will consist of placing subcutaneously the electrode contacts over the site of the suspected seizure focus as defined by a previous Video-EEG and neuroimaging evaluations. Surgical procedures will be performed under local anesthesia. If the device is well-tolerated, all the subjects will proceed to the extended home monitoring study, which is the core of the study protocol. The aim of the extended study is to assess sensitivity of seizure detection of sqEEG in comparison to subject's home diary, and the tolerability and safety of sqEEG in a period of 6 months. |
| Measure | Description | Time Frame |
|---|---|---|
| Assessment of the reportability | The results (i.e., number of seizures, date and time) will be matched with the subject's seizure diary to look for concordance. | 12-24 weeks from device activation |
| Measure | Description | Time Frame |
|---|---|---|
| Assessment of Device-Related Adverse Events: | Will be collected from the subject during the study visits and by means of a specific form. The presence of the following side-effects will be checked: formation of haematoma or seroma near the implant site; temporary pain, headache, infection and discomfort; skin ischemia potentially inducing necrosis at the implant site due to pressure and compromised local circulation; Infection, swelling, soreness, irritation or itching of the skin at the implant site; occasional headache or pain during long-term use of the device. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Stefania Maffei, PhD | Contact | +390593961157 | maffei.stefania@aou.mo.it |
| Name | Affiliation | Role |
|---|---|---|
| Stefano Meletti, MD, PhD | Azienda Ospedaliero Universitaria di Modena - Ospedale Civile di Baggiovara - S.S.D. Neurofisiologia | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Ospedale pediatrico Bambino Gesù | Not yet recruiting | Roma | Italy | 00165 | Italy |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29995605 | Background | Weisdorf S, Gangstad SW, Duun-Henriksen J, Mosholt KSS, Kjaer TW. High similarity between EEG from subcutaneous and proximate scalp electrodes in patients with temporal lobe epilepsy. J Neurophysiol. 2018 Sep 1;120(3):1451-1460. doi: 10.1152/jn.00320.2018. Epub 2018 Jul 11. | |
| 34250608 | Background | Viana PF, Remvig LS, Duun-Henriksen J, Glasstetter M, Dumpelmann M, Nurse ES, Martins IP, Schulze-Bonhage A, Freestone DR, Brinkmann BH, Kjaer TW, Richardson MP. Signal quality and power spectrum analysis of remote ultra long-term subcutaneous EEG. Epilepsia. 2021 Aug;62(8):1820-1828. doi: 10.1111/epi.16969. Epub 2021 Jul 12. |
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| 12-24 weeks from device activation |
| Evaluation of the algorithm for automatic seizure detection (ASD) | The sqEEG data will be analyzed by the ASD algorithm; the results of the ASD algorithm will be reviewed by investigators blinded from the results of the visual analysis. | 12-24 weeks from device activation |
| Assessment of potential clinical impact | The results of the 3-month sqEEG monitoring will be evaluated in terms of their possible impact on patient's clinical management | 12 to 24 weeks from device activation |
| Azienda Sanitaria Universitaria Giuliano Isontina | Not yet recruiting | Trieste | Italy | 34128 | Italy |
|
| S.S.D. Neurofisiologia Clinica - AOU di Modena | Recruiting | Modena | Taly | 41126 | Italy |
|
| Azienda Ospedaliero Universitaria Federico II - Napoli | Not yet recruiting | Naples | Taly | 80131 | Italy |
|
| 33275838 | Background | Viana PF, Duun-Henriksen J, Glassteter M, Dumpelmann M, Nurse ES, Martins IP, Dumanis SB, Schulze-Bonhage A, Freestone DR, Brinkmann BH, Richardson MP. 230 days of ultra long-term subcutaneous EEG: seizure cycle analysis and comparison to patient diary. Ann Clin Transl Neurol. 2021 Jan;8(1):288-293. doi: 10.1002/acn3.51261. Epub 2020 Dec 4. |
| 32049741 | Background | Trivisano M, Specchio N. What are the epileptic encephalopathies? Curr Opin Neurol. 2020 Apr;33(2):179-184. doi: 10.1097/WCO.0000000000000793. |
| 35503717 | Background | Specchio N, Wirrell EC, Scheffer IE, Nabbout R, Riney K, Samia P, Guerreiro M, Gwer S, Zuberi SM, Wilmshurst JM, Yozawitz E, Pressler R, Hirsch E, Wiebe S, Cross HJ, Perucca E, Moshe SL, Tinuper P, Auvin S. International League Against Epilepsy classification and definition of epilepsy syndromes with onset in childhood: Position paper by the ILAE Task Force on Nosology and Definitions. Epilepsia. 2022 Jun;63(6):1398-1442. doi: 10.1111/epi.17241. Epub 2022 May 3. |
| 35987094 | Background | Remvig LS, Duun-Henriksen J, Furbass F, Hartmann M, Viana PF, Kappel Overby AM, Weisdorf S, Richardson MP, Beniczky S, Kjaer TW. Detecting temporal lobe seizures in ultra long-term subcutaneous EEG using algorithm-based data reduction. Clin Neurophysiol. 2022 Oct;142:86-93. doi: 10.1016/j.clinph.2022.07.504. Epub 2022 Aug 8. |
| 35126304 | Background | Pathmanathan J, Kjaer TW, Cole AJ, Delanty N, Surges R, Duun-Henriksen J. Expert Perspective: Who May Benefit Most From the New Ultra Long-Term Subcutaneous EEG Monitoring? Front Neurol. 2022 Jan 20;12:817733. doi: 10.3389/fneur.2021.817733. eCollection 2021. |
| 35002910 | Background | Kjaer TW, Remvig LS, Helge AW, Duun-Henriksen J. The Individual Ictal Fingerprint: Combining Movement Measures With Ultra Long-Term Subcutaneous EEG in People With Epilepsy. Front Neurol. 2021 Dec 23;12:718329. doi: 10.3389/fneur.2021.718329. eCollection 2021. |
| 33504638 | Background | Muller AR, Brands MMMG, van de Ven PM, Roes KCB, Cornel MC, van Karnebeek CDM, Wijburg FA, Daams JG, Boot E, van Eeghen AM. Systematic Review of N-of-1 Studies in Rare Genetic Neurodevelopmental Disorders: The Power of 1. Neurology. 2021 Mar 16;96(11):529-540. doi: 10.1212/WNL.0000000000011597. Epub 2021 Jan 27. |
| 29452687 | Background | Elger CE, Hoppe C. Diagnostic challenges in epilepsy: seizure under-reporting and seizure detection. Lancet Neurol. 2018 Mar;17(3):279-288. doi: 10.1016/S1474-4422(18)30038-3. |
| 23642342 | Background | Cook MJ, O'Brien TJ, Berkovic SF, Murphy M, Morokoff A, Fabinyi G, D'Souza W, Yerra R, Archer J, Litewka L, Hosking S, Lightfoot P, Ruedebusch V, Sheffield WD, Snyder D, Leyde K, Himes D. Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study. Lancet Neurol. 2013 Jun;12(6):563-71. doi: 10.1016/S1474-4422(13)70075-9. Epub 2013 May 2. |
| 28139449 | Background | Blachut B, Hoppe C, Surges R, Elger C, Helmstaedter C. Subjective seizure counts by epilepsy clinical drug trial participants are not reliable. Epilepsy Behav. 2017 Feb;67:122-127. doi: 10.1016/j.yebeh.2016.10.036. Epub 2017 Jan 28. |
| 26076850 | Background | Blachut B, Hoppe C, Surges R, Stahl J, Elger CE, Helmstaedter C. Counting seizures: The primary outcome measure in epileptology from the patients' perspective. Seizure. 2015 Jul;29:97-103. doi: 10.1016/j.seizure.2015.03.004. Epub 2015 Apr 13. |
| ID | Term |
|---|---|
| D004827 | Epilepsy |
| D004828 | Epilepsies, Partial |
| ID | Term |
|---|---|
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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