AI-Assisted Precision Hyperbaric Oxygen Therapy Based on Dynamic BIS-EEG Feedback for Patients With Disorders of Consciousness (AI-HBOT-DoC)
A Randomized Controlled Trial of Artificial Intelligence-Assisted Precision Hyperbaric Oxygen Therapy Based on Dynamic BIS-EEG Feedback in Patients With Disorders of Consciousness
Disorders of consciousness (DoC) are severe neurological conditions characterized by impaired awareness and reduced interaction with the environment. Although hyperbaric oxygen therapy (HBOT) may promote neurological recovery, the optimal treatment strategy for individual patients remains unclear.
This study aims to develop and validate an artificial intelligence-assisted precision decision support system for HBOT based on dynamic BIS-EEG brain functional feedback. The system will integrate clinical information, neuroimaging data, physiological parameters, consciousness assessments, and HBOT treatment characteristics.
Continuous BIS-EEG monitoring will be performed during different phases of HBOT, including compression, oxygen exposure, air breaks, decompression, and post-treatment recovery. Artificial intelligence models will analyze these dynamic brain functional responses to predict treatment effectiveness and support personalized HBOT management.
The primary outcome will be improvement in consciousness assessed by the Coma Recovery Scale-Revised (CRS-R). Secondary outcomes include changes in consciousness state, cognitive and functional recovery, and treatment-related adverse events.
Panoramica dello studio
Stato
Stato
Condizioni
Condizioni
Intervento / Trattamento
Intervento / Trattamento
Descrizione dettagliata
This prospective randomized controlled clinical study will evaluate whether an artificial intelligence-assisted precision hyperbaric oxygen therapy strategy improves clinical outcomes compared with conventional hyperbaric oxygen therapy in patients with disorders of consciousness.
Patients with disorders of consciousness, including vegetative state/unresponsive wakefulness syndrome and minimally conscious state, will receive standardized hyperbaric oxygen therapy. Multimodal clinical data will be collected, including demographic characteristics, disease etiology, disease duration, baseline consciousness assessment, neuroimaging findings, physiological parameters, BIS-EEG signals, and HBOT treatment parameters.
Dynamic BIS-EEG monitoring will be conducted throughout the entire HBOT session. Brain functional responses will be evaluated during the following phases: pre-treatment baseline, compression, hyperbaric oxygen exposure, air-break interval, repeated oxygen exposure, decompression, and post-treatment recovery.
The artificial intelligence system will integrate multimodal information using machine learning approaches to identify predictive biomarkers of neurological recovery and provide individualized decision support regarding HBOT treatment parameters, including treatment pressure, oxygen exposure duration, air-break strategy, treatment frequency, and treatment course.
The effectiveness of the AI-assisted decision support system will be evaluated by comparing predicted treatment responses with clinical outcomes. Clinical outcomes will include changes in Coma Recovery Scale-Revised (CRS-R) scores, consciousness state transitions, cognitive and functional recovery, and adverse events associated with HBOT.
This study is expected to provide an objective and personalized approach for optimizing HBOT management in patients with disorders of consciousness.
Tipo di studio
Tipo di studio
Iscrizione (Stimato)
Iscrizione
Fase
Fase
- Non applicabile
Contatti e Sedi
Contatto studio
Contatto studio
- Nome: Anmin Hu Shenzhen United Scheme Technology Co., Ltd.
- Numero di telefono: +86 17318061949
- Email: anmin@szus.org
Backup dei contatti dello studio
- Nome: Xiaofeng Chen Shenzhen Baoxing Hospital
Luoghi di studio
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Guangdong
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Shenzhen, Guangdong, Cina, 518020
- Shenzhen Baoxing Hospital
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Contatto:
- Xiaofeng Chen Shenzhen Baoxing Hospital
- Numero di telefono: 0755-28746265
- Email: us@szus.org
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Criteri di partecipazione
Criteri di ammissibilità
Criteri di ammissibilità
Età idonea allo studio
Accetta volontari sani
Sessi ammissibili allo studio
Descrizione
Inclusion Criteria:
- Adults aged 18 years or older.
- Diagnosis of disorders of consciousness, including vegetative state/unresponsive wakefulness syndrome (VS/UWS) or minimally conscious state (MCS).
- Disease duration of at least 28 days after the onset of brain injury.
- Stable medical condition suitable for hyperbaric oxygen therapy.
- Baseline consciousness assessment available using the Coma Recovery Scale-Revised (CRS-R).
- Ability to undergo standardized hyperbaric oxygen therapy sessions and complete clinical follow-up.
- Written informed consent obtained from the legally authorized representative.
Exclusion Criteria:
- Contraindications to hyperbaric oxygen therapy, including untreated pneumothorax or other conditions considered unsafe for HBOT.
- Severe cardiovascular, respiratory, or systemic instability.
- Uncontrolled epilepsy or frequent seizures affecting assessment.
- Severe infection or metabolic disorders that may influence consciousness assessment.
- Previous participation in another interventional clinical trial that may affect neurological outcomes.
- Incomplete baseline clinical data or inability to complete follow-up assessments.
Piano di studio
Come è strutturato lo studio?
Dettagli di progettazione
- Scopo principale: Trattamento
- Assegnazione: Randomizzato
- Modello interventistico: Assegnazione parallela
- Mascheramento: Separare
Numero di armi
Armi e interventi
Gruppo di partecipanti / ArmGruppo di partecipanti / Arm |
Intervento / TrattamentoIntervento / Trattamento |
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Sperimentale: AI-Assisted Personalized Hyperbaric Oxygen Therapy
Participants will receive artificial intelligence-assisted precision hyperbaric oxygen therapy. The AI decision support system will integrate dynamic BIS-EEG brain functional feedback, clinical characteristics, neuroimaging findings, physiological parameters, and previous treatment responses to provide individualized recommendations for hyperbaric oxygen therapy parameters, including treatment pressure, oxygen exposure duration, air-break strategy, treatment frequency, and treatment course. |
Participants will receive hyperbaric oxygen therapy optimized by an artificial intelligence-assisted clinical decision support system. The system integrates dynamic BIS-EEG brain functional feedback, clinical characteristics, neuroimaging findings, physiological parameters, and previous treatment responses to provide individualized recommendations for hyperbaric oxygen therapy parameters, including treatment pressure, oxygen exposure duration, air-break strategy, treatment frequency, and treatment course. Final treatment decisions will be made by qualified physicians. |
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Comparatore attivo: Conventional Hyperbaric Oxygen Therapy
Participants will receive conventional hyperbaric oxygen therapy according to standard clinical protocols determined by treating physicians. Treatment parameters will be selected based on routine clinical practice without artificial intelligence-assisted recommendations. |
Participants will receive conventional hyperbaric oxygen therapy according to standard clinical protocols determined by treating physicians. Treatment parameters will be selected based on routine clinical practice without artificial intelligence-assisted recommendations. |
Cosa sta misurando lo studio?
Misure di risultato primarie
Misure di risultato primarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
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Change From Baseline in Coma Recovery Scale-Revised (CRS-R) Total Score at Week 12
Lasso di tempo: Baseline and 12 weeks after initiation of hyperbaric oxygen therapy
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The Coma Recovery Scale-Revised (CRS-R) will be used to assess the level of consciousness. The CRS-R total score ranges from 0 to 23, with higher scores indicating better neurobehavioral function and a higher level of consciousness. The change in CRS-R total score from baseline to Week 12 will be calculated for each participant and compared between the AI-assisted precision hyperbaric oxygen therapy group and the conventional hyperbaric oxygen therapy group. |
Baseline and 12 weeks after initiation of hyperbaric oxygen therapy
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Misure di risultato secondarie
Misure di risultato secondarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
|---|---|---|
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Change From Baseline in Glasgow Coma Scale (GCS) Total Score at Week 12
Lasso di tempo: Baseline and 12 weeks after initiation of hyperbaric oxygen therapy
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The Glasgow Coma Scale (GCS) will be used to assess neurological responsiveness. The total score ranges from 3 to 15, with higher scores indicating better neurological responsiveness. Change from baseline to Week 12 will be compared between the AI-assisted precision hyperbaric oxygen therapy group and the conventional hyperbaric oxygen therapy group. |
Baseline and 12 weeks after initiation of hyperbaric oxygen therapy
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Number of Participants With Hyperbaric Oxygen Therapy-Related Adverse Events
Lasso di tempo: From the first hyperbaric oxygen therapy session through 7 days after the final treatment session
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The number and proportion of participants experiencing adverse events considered related to hyperbaric oxygen therapy will be recorded and compared between groups. Events of interest include middle-ear or sinus barotrauma, oxygen toxicity, seizures, pulmonary symptoms, hemodynamic instability, and other clinically significant treatment-related adverse events. |
From the first hyperbaric oxygen therapy session through 7 days after the final treatment session
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Altre misure di risultato
Altre misure di risultato
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
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Discrimination Performance of the AI Model for Predicting Improvement in Consciousness State
Lasso di tempo: Prediction at baseline and during treatment for clinical outcome assessed at Week 12
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The predictive performance of the artificial intelligence model will be evaluated for predicting improvement to a higher consciousness state at Week 12. Discrimination will be assessed using the area under the receiver operating characteristic curve (AUROC). An AUROC of 0.5 indicates no discrimination, whereas values closer to 1.0 indicate better discrimination. |
Prediction at baseline and during treatment for clinical outcome assessed at Week 12
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Collaboratori e investigatori
Sponsor
Sponsor
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Studia le date principali
Inizio studio (Stimato)
Inizio studio
Completamento primario (Stimato)
Completamento primario
Completamento dello studio (Stimato)
Completamento dello studio
Date di iscrizione allo studio
Primo inviato
Primo inviato
Primo inviato che soddisfa i criteri di controllo qualità
Primo inviato che soddisfa i criteri di controllo qualità
Primo Inserito (Effettivo)
Primo Inserito
Aggiornamenti dei record di studio
Ultimo aggiornamento pubblicato (Effettivo)
Ultimo aggiornamento pubblicato
Ultimo aggiornamento inviato che soddisfa i criteri QC
Ultimo aggiornamento inviato che soddisfa i criteri QC
Ultimo verificato
Ultimo verificato
Maggiori informazioni
Termini relativi a questo studio
Parole chiave
Termini MeSH pertinenti aggiuntivi
- Manifestazioni neurologiche
- Malattie del cervello
- Malattie del sistema nervoso centrale
- Malattie del sistema nervoso
- Disordini mentali
- Manifestazioni neurocomportamentali
- Disturbi neurocognitivi
- Danno cerebrale, cronico
- Incoscienza
- Condizioni patologiche, segni e sintomi
- Segni e sintomi
- Disturbi della coscienza
- Stato vegetativo persistente
Altri numeri di identificazione dello studio
Altri numeri di identificazione dello studio
- WINDO-CT-26001
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