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Application of Non-invasive Neurophysiological Methods in Predicting and Evaluating Postoperative Pain in Adult Patients Undergoing Major Thoracic Surgery

NCT ID: NCT06731010

Last Updated: 2024-12-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

20 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-11-01

Study Completion Date

2024-09-30

Brief Summary

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The primary aim of this study is to explore the relationship between alpha electroencephalographic oscillations, particularly Peak Alpha Frequency (PAF), pupillometry, intraoperative Nociception Level (NOL) and postoperative pain following major thoracic surgeries.

Goals to investigate the use of preoperative EEG as a biomarker for the prediction of postoperative pain to investigate the use of pupillometry in postoperative pain prediction and evaluation to test intraoperative NOL as a predicting factor of postoperative pain

Detailed Description

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Conditions

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Postoperative Pain, Acute Postoperative Pain, Chronic Postoperative Pain After Thoracic Surgery

Keywords

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Postoperative pain Pupillometry EEG Peak alpha frequency (PAF) Nociception Level Index (NOL)

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients aged 18 years or older scheduled for open lung lobectomy due to early-stage lung cancer.

Exclusion Criteria

* 1\) Severe neurological disorders (e.g. dementia) that could interfere with EEG recordings or pain testing.

2\) Severe psychiatric conditions such as major depression, schizophrenia, or active drug abuse.

3\) Preoperative analgesic therapy, which may alter EEG signals (Boord et al. 2008).

4\) Diabetes mellitus 5) Chronic pain of any etiology 6) Acute pain from any cause
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National and Kapodistrian University of Athens

OTHER

Sponsor Role lead

Responsible Party

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Chrysanthi Barba

Anaesthesiology Resident GH Evangelismos

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Evangelismos General Hospital

Athens, Attica, Greece

Site Status

National and Kapodistrian University of Athens

Athens, Attica, Greece

Site Status

Countries

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Greece

References

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Koschmieder KC, Funcke S, Shadloo M, Pinnschmidt HO, Greiwe G, Fischer M, Nitzschke R. Validation of three nociception indices to predict immediate postoperative pain before emergence from general anaesthesia: a prospective double-blind, observational study. Br J Anaesth. 2023 Apr;130(4):477-484. doi: 10.1016/j.bja.2022.11.024. Epub 2023 Jan 4.

Reference Type BACKGROUND
PMID: 36609057 (View on PubMed)

Fang PP, Wu JQ, Tang LL, Gao S, Liu XS. The association between perioperative pupillary parameters and postoperative acute pain: A pilot cross-sectional study. Pain Pract. 2022 Mar;22(3):322-328. doi: 10.1111/papr.13084. Epub 2021 Oct 26.

Reference Type BACKGROUND
PMID: 34662477 (View on PubMed)

Furman AJ, Prokhorenko M, Keaser ML, Zhang J, Chen S, Mazaheri A, Seminowicz DA. Sensorimotor Peak Alpha Frequency Is a Reliable Biomarker of Prolonged Pain Sensitivity. Cereb Cortex. 2020 Nov 3;30(12):6069-6082. doi: 10.1093/cercor/bhaa124.

Reference Type BACKGROUND
PMID: 32591813 (View on PubMed)

Furman AJ, Meeker TJ, Rietschel JC, Yoo S, Muthulingam J, Prokhorenko M, Keaser ML, Goodman RN, Mazaheri A, Seminowicz DA. Cerebral peak alpha frequency predicts individual differences in pain sensitivity. Neuroimage. 2018 Feb 15;167:203-210. doi: 10.1016/j.neuroimage.2017.11.042. Epub 2017 Nov 21.

Reference Type BACKGROUND
PMID: 29175204 (View on PubMed)

Millard SK, Furman AJ, Kerr A, Seminowicz DA, Gao F, Naidu BV, Mazaheri A. Predicting postoperative pain in lung cancer patients using preoperative peak alpha frequency. Br J Anaesth. 2022 Jun;128(6):e346-e348. doi: 10.1016/j.bja.2022.03.006. Epub 2022 Apr 4. No abstract available.

Reference Type BACKGROUND
PMID: 35393099 (View on PubMed)

Other Identifiers

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298792022

Identifier Type: -

Identifier Source: org_study_id