Sleep Disorders, Intrinsic
Conditions
Keywords
Sleep Disorders, Cerebral Hemodynamics, Dynamic Cerebral Auto-Regulation, Stroke
Brief summary
The purpose of this study is to determine the relationship between sleep disorders and cerebral hemodynamics.
Detailed description
Sleep disorders continue to be the most unrecognized modifiable risk factor for stroke. The relationship between sleep disorders and vascular risk factors and stroke has been well-documented but not fully understood. The investigators hypothesize hemodynamics impairment to be its potential mechanism. It has been reported that sleep-related breathing disorder, a type of sleep disorders, contributed as a risk factor for stroke through hemodynamic and hematologic changes. The purpose of this study is to determine the relationship between different kind of sleep disorders and cerebral hemodynamics, including OSHAS, RLS, RBD, narcolepsy, etc. The dynamic cerebral auto-regulation (dCA) and Transcranial Doppler (TCD) will be used to evaluate cerebral hemodynamics.
Interventions
None listed
Sponsors
Yi Yang
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes
Inclusion criteria
* patients with sleep disorders * meet the Diagnostic Criteria for Sleep Dyssomnias * sufficient bilateral temporal bone windows for insonation of the MCA
Exclusion criteria
* middle cerebral artery (MCA) and/or other intracranial and/or extracranial major vascular 4 stenosis/occlusion, as diagnosed by a transcranial Doppler * having a prior symptomatic cerebral vascular disease * current arrhythmia, hyperthyroidism, anemia and unstable blood pressure, which may undermine hemodynamic stability * inability to cooperate sufficiently to complete the dCA examination
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| phase difference(PD) in degree | 6 months | A dynamic cerebral auto-regulation parameter derived from transfer function analysis.Continuous cerebral blood flow velocities of bilateral middle cerebral artery will be assessed noninvasively using transcranial Doppler. Spontaneous arterial blood pressure will be simultaneously recorded using a servo-controlled plethysmograph on the left or right middle finger with an appropriate finger cuff size. Transfer function analysis will be used to derive the autoregulatory parameters. |
| gain in cm/s/mmHg | 6 months | A dynamic cerebral auto-regulation parameter derived from transfer function analysis.The details are same as outcome 1 |
| the rate of recovery of cerebral blood flow velocity | 6 months | A dynamic cerebral auto-regulation parameter derived from transfer function analysis.The details are same as outcome 1 |
Secondary
| Measure | Time frame |
|---|---|
| pulsatility index (PI) changes from supine to upright position | 6 months |
| mean MCA blood flow velocity (mCBFV) changes from supine to upright position | 6 months |
| resistance index (RI) changes from supine to upright position | 6 months |
Other
| Measure | Time frame |
|---|---|
| scores of Hamilton Anxiety Scale(HAMA) | 6 months |
| Polysomnography（PSG） | within 6 months |
| scores of Hamilton Depression Scale(HAMD) | 6 months |
| scores of Pittsburgh sleep quality index(PSQI) | 6 months |
Countries
China
Outcome results
None listed