Research, Development, and Application of Intelligent Diagnostic System for Orthostatic Hypotension
NCT ID: NCT07309666
Last Updated: 2026-01-07
Study Results
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Basic Information
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NOT_YET_RECRUITING
2000 participants
OBSERVATIONAL
2026-03-01
2029-02-01
Brief Summary
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To address these issues, the research team has preliminarily developed an "Intelligent Diagnostic System for Orthostatic Hypotension". This system innovatively integrates synchronous and continuous monitoring of multiple parameters, including non-invasive beat-to-beat blood pressure, transcranial Doppler (TCD) cerebral blood flow velocity, and electrocardiogram (ECG). It also enables the quantitative assessment of dynamic cerebral autoregulation function. The project will collaborate with fifteen high-level clinical centers in China to collect data from 2000 patients with orthostatic hypotension. The aim is to establish and externally validate a risk stratification model for OH. By integrating multimodal clinical and hemodynamic data, the investigators intend to construct an automated, precise intelligent system for the classification, subtyping, and risk stratification of OH. This initiative will establish a standardized diagnostic and management pathway covering early screening, precise classification, early warning, and stratified intervention. The goal is to provide key technological support for enhancing the early identification and standardized management of OH, thereby reducing its associated disability and mortality rates.
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Detailed Description
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The core methodology involves synchronous, continuous, and non-invasive monitoring of beat-to-beat blood pressure (BP), bilateral cerebral blood flow velocity (CBFv) in the middle cerebral arteries, electrocardiogram (ECG), and end-tidal carbon dioxide (PetCO₂) during a standardized active standing test. Following a 10-minute supine rest, participants rapidly stand and remain upright for up to 10 minutes. Using this integrated data stream, OH is classified as Initial, Classic, or Delayed per consensus hemodynamic thresholds. Dynamic cerebral autoregulation (dCA) is quantitatively assessed offline via transfer function analysis (TFA) of the BP and CBFv signals, deriving phase, gain (absolute and normalized), and coherence parameters in very low frequency (VLF) and low frequency (LF) bands.
Participants are followed for 24 months, with a telephone follow-up at 12 months and an in-person visit at 24 months that includes a repeat stand test and cognitive assessment. The primary technical endpoints are the algorithm-based classification of OH subtype/etiology and the quantitative dCA parameters. Secondary endpoints include the performance (sensitivity, specificity, area under the curve \[AUC\]) of the derived multimodal risk model in predicting clinical events such as falls, syncope, cognitive decline, and all-cause mortality.
Data analysis will involve machine learning/statistical modeling on a development cohort to generate the risk stratification model, followed by external validation on a separate cohort to assess generalizability and clinical utility.
Conditions
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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OH Group
This study enrolls patients diagnosed with orthostatic hypotension (OH). Participants must have one of the following underlying conditions: 1) clinically established or probable Parkinson's disease; 2) clinically diagnosed multiple system atrophy; or 3) diabetes mellitus and aged ≥50 years. All participants in this group must meet the standard diagnostic criteria for OH (a decrease in systolic blood pressure of ≥20 mmHg or a decrease in diastolic blood pressure of ≥10 mmHg within 3 minutes of standing).
Intelligent diagnostic system for orthostatic hypotension
All participants will undergo a standardized multi-parameter monitoring protocol. After resting in the supine position for at least 10 minutes, participants will perform an active standing test. During this protocol, the following parameters are continuously and synchronously recorded using the integrated intelligent diagnostic system: non-invasive beat-to-beat blood pressure, cerebral blood flow velocity in the middle cerebral artery (assessed via transcranial Doppler, TCD), electrocardiogram (ECG), and end-tidal carbon dioxide (ETCO₂). Monitoring is conducted for a 10-minute baseline period in the supine position and continues for up to 10 minutes following standing.
Non-OH Control Group
This study also enrolls a control group of patients without orthostatic hypotension (OH). Control participants must have the same underlying diseases as the OH group (Parkinson's disease, multiple system atrophy, or diabetes mellitus aged ≥50 years) but do not meet the diagnostic criteria for OH during the active standing test. This group is used for comparison with the OH group regarding cerebrovascular hemodynamic parameters and clinical outcomes.
Intelligent diagnostic system for orthostatic hypotension
All participants will undergo a standardized multi-parameter monitoring protocol. After resting in the supine position for at least 10 minutes, participants will perform an active standing test. During this protocol, the following parameters are continuously and synchronously recorded using the integrated intelligent diagnostic system: non-invasive beat-to-beat blood pressure, cerebral blood flow velocity in the middle cerebral artery (assessed via transcranial Doppler, TCD), electrocardiogram (ECG), and end-tidal carbon dioxide (ETCO₂). Monitoring is conducted for a 10-minute baseline period in the supine position and continues for up to 10 minutes following standing.
Interventions
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Intelligent diagnostic system for orthostatic hypotension
All participants will undergo a standardized multi-parameter monitoring protocol. After resting in the supine position for at least 10 minutes, participants will perform an active standing test. During this protocol, the following parameters are continuously and synchronously recorded using the integrated intelligent diagnostic system: non-invasive beat-to-beat blood pressure, cerebral blood flow velocity in the middle cerebral artery (assessed via transcranial Doppler, TCD), electrocardiogram (ECG), and end-tidal carbon dioxide (ETCO₂). Monitoring is conducted for a 10-minute baseline period in the supine position and continues for up to 10 minutes following standing.
Eligibility Criteria
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Inclusion Criteria
2. Clinical diagnosis of Parkinson's disease (PD) OR multiple system atrophy (MSA) OR diabetes mellitus (if diabetic, must be aged ≥50 years).
3. Suspected or diagnosed with orthostatic hypotension (OH).
4. Presence of adequate acoustic temporal bone windows for Transcranial Doppler (TCD) monitoring.
5. Willing and able to provide informed consent.
Exclusion Criteria
2. Recent stroke or intracerebral hemorrhage (confirmed by CT/MRI).
3. Severe cardiac arrhythmias (e.g., atrial fibrillation) or severe valvular heart disease.
4. Bilateral temporal bone windows insufficient for TCD monitoring.
5. Pregnancy or lactation.
6. Inability to cooperate with the testing procedures.
7. Other systemic diseases that significantly affect cerebral blood flow regulation (e.g., severe thyroid or renal dysfunction).
18 Years
ALL
No
Sponsors
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The First Hospital of Jilin University
OTHER
Xuanwu Hospital, Beijing
OTHER
Responsible Party
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Locations
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Xuanwu Hospital, Capital Medical University
Beijing, Beijing Municipality, China
Countries
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Central Contacts
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References
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Wieling W, Kaufmann H, Claydon VE, van Wijnen VK, Harms MPM, Juraschek SP, Thijs RD. Diagnosis and treatment of orthostatic hypotension. Lancet Neurol. 2022 Aug;21(8):735-746. doi: 10.1016/S1474-4422(22)00169-7.
Freeman R, Abuzinadah AR, Gibbons C, Jones P, Miglis MG, Sinn DI. Orthostatic Hypotension: JACC State-of-the-Art Review. J Am Coll Cardiol. 2018 Sep 11;72(11):1294-1309. doi: 10.1016/j.jacc.2018.05.079.
Thijs RD, Brignole M, Falup-Pecurariu C, Fanciulli A, Freeman R, Guaraldi P, Jordan J, Habek M, Hilz M, Pavy-LeTraon A, Stankovic I, Struhal W, Sutton R, Wenning G, van Dijk JG. Recommendations for tilt table testing and other provocative cardiovascular autonomic tests in conditions that may cause transient loss of consciousness : Consensus statement of the European Federation of Autonomic Societies (EFAS) endorsed by the American Autonomic Society (AAS) and the European Academy of Neurology (EAN). Auton Neurosci. 2021 Jul;233:102792. doi: 10.1016/j.autneu.2021.102792. Epub 2021 Mar 19.
Juraschek SP, Daya N, Rawlings AM, Appel LJ, Miller ER 3rd, Windham BG, Griswold ME, Heiss G, Selvin E. Association of History of Dizziness and Long-term Adverse Outcomes With Early vs Later Orthostatic Hypotension Assessment Times in Middle-aged Adults. JAMA Intern Med. 2017 Sep 1;177(9):1316-1323. doi: 10.1001/jamainternmed.2017.2937.
Panerai RB, Brassard P, Burma JS, Castro P, Claassen JA, van Lieshout JJ, Liu J, Lucas SJ, Minhas JS, Mitsis GD, Nogueira RC, Ogoh S, Payne SJ, Rickards CA, Robertson AD, Rodrigues GD, Smirl JD, Simpson DM; Cerebrovascular Research Network (CARNet). Transfer function analysis of dynamic cerebral autoregulation: A CARNet white paper 2022 update. J Cereb Blood Flow Metab. 2023 Jan;43(1):3-25. doi: 10.1177/0271678X221119760. Epub 2022 Aug 12.
Other Identifiers
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AF-SW-01-01.0
Identifier Type: -
Identifier Source: org_study_id
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