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Pain Index Extracted From EEG in Monitoring Chronic Pain

Pain Index Extracted From EEG in Monitoring Chronic Pain

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03613012
Enrollment
111
Registered
2018-08-02
Start date
2018-08-06
Completion date
2018-11-10
Last updated
2018-11-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Pain, Pain Assessment

Keywords

Pain assessment, electroencephalographic, numerical rating scale, pain index

Brief summary

Pain is a subjective feeling,and pain experts have been trying to assess it using objective methods. Pain index (PI) is extracted from electroencephalographic as an objective diagnostic tool for chronic pain. This study is a diagnostic test aims to explore the reliability and validity of PI, with numerical rating scale(NRS) as the gold standard.

Detailed description

Chronic pain outpatients between 18 and 80 years old, NRS ≥4 at first visit and receive injection or shockwave therapy will be included. After informed consents signed, the age, gender, dominant hand and hospital anxiety and depression scale (HADS) will be collected. Each patient will be connected with a multifunctional monitor HXD-1 for 8 minutes to access EEG in a quiet environment before pain treatment and 30 minutes after pain treatment. NRS will also be recorded before pain treatment and 30 minutes after pain treatment. PI will be extracted from EEG by analysts. In order to reduce environmental effects, the same quiet research environment will be used throughout the study. All data will be obtained and recorded by the same person, and all PI will be analyzed and calculated by the same person. SPSS 20.0 will be used to analyze the data, Pearson's correlations and Kappa consistency test to analyze the validity and reliability of PI. The receiver operating characteristic curve will be use to analyze the sensitivity and specificity of PI to evaluating moderate and severe pain(NRS≥4). A multiple linear regression equation with PI as dependent variable and anxiety score and depression score as independent variables will be used to evaluate the influence of anxiety and depression on PI.

Interventions

DIAGNOSTIC_TESTPain index

Record the patients' EEG and extract pain index before and after pain treatments

Sponsors

Peking University People's Hospital
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* 1.chronic pain patients diagnosed lumbar disc herniation, osteoarthritis or other chronic pain diseases, who will received injection therapy or shockwave therapy at clinic. * 2.patients age 18-80 years-old * 3.patients with an NRS pain score ≥ 4, * 4.patients who voluntarily participate in the test and sign the informed consent forms.

Exclusion criteria

* 1.patients with central nervous system disorders, such as epilepsy, cerebral infarction, or cerebral hemorrhage, * 2.patients with mental disorders, * 3.patients with a history of long-term use of psychotropic drugs. * 4.patients who can't understand NRS.

Design outcomes

Primary

MeasureTime frameDescription
Pain index30 mins after treatmentPain index is extracted from EEG accessed by a multifunctional monitor HXD-1

Secondary

MeasureTime frameDescription
Hamilton Anxiety and Depression Scale(HADS)baselineValidated Chinese version of Hamilton Anxiety and Depression Scale is completed by the trained doctor.The HAD scale contains two sub-scales of anxiety and depression, consisting of 14 items, of which 7 items are rated as depression, 7 items are assessed as anxiety.Each item is scored from 0 to 3 points.Therefore, the anxiety subscale ranges from 0 to 21,and higher values represent a worse outcome: 0\ 7:asymptomatic, 8\ 10:suspicious presence; 11 to 21: existed.The depression subscale is scored in the same way as the anxiety scale.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026