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Wearable Device-Based Analysis of the Relationship Between Sleep Patterns and Clinical Prognosis in Patients With Traumatic Brain Injury

G

General Hospital of Ningxia Medical University

Status

Enrolling

Conditions

Traumatic Brain Injury (TBI); Concussion, Initial Encounter

Study type

Observational

Funder types

Other

Identifiers

NCT06790979
Jingchao Zhou

Details and patient eligibility

About

In patients with traumatic brain injury, post-traumatic sleep patterns have the potential to impact clinical prognosis. While some progress has been made in the study of sleep and prognosis in patients with traumatic brain injury, there is still lack of research on the relationship between sleep and clinical prognosis in post-traumatic patients due to differences in study design, patient age, severity of trauma, and definitions of sleep disorders. Additionally, the primary data collection methods employed in most studies have been self-reported sleep assessments, which are subject to potential biases and inaccuracies. Therefore, explore the impact of sleep patterns on clinical prognosis in post-traumatic patients, with potential to advance our comprehension of recovery outcomes in this patient group.

Enrollment

50 estimated patients

Sex

All

Ages

18 to 60 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. 18~60 years old.
  2. The patient had no sleep disturbance problems prior to traumatic brain injury.
  3. The patient has a definite diagnosis of traumatic brain injury and the Glasgow score is >8.
  4. The patient had abnormal imaging scans.
  5. It has complete preclinical data.

Exclusion criteria

  1. Patients with a previous history of traumatic brain injury, mental illness, alcohol abuse or sleep disorders.
  2. Patients admitted for surgical intervention.
  3. Patients with a combination of other heavy visceral injuries.
  4. Women during pregnancy and lactation.
  5. The patents' use of medications that interfere with sleep

Trial contacts and locations

1

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Central trial contact

Zhanfeng Niu, Doctor

Data sourced from clinicaltrials.gov

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