HOW TO MAKE CALIBRATION LESS PAINFUL. A PROPOSITION OF AN AUTOMATIC, RELIABLE AND TIME-EFFICIENT PROCEDURE.

Abstract

Background: The description of the calibration in pain studies is scarce. This study provides an in-depth analysis and proposes an automatic pain-threshold calibration that quantifies its correctness, minimizes its duration and invasiveness, and considers validation of linearity between stimuli intensity and Numerical Rating Scale (NRS) values. Methods: 70 healthy volunteers (37 males) underwent a staircase calibration method adjusted for A-delta specific intraepidermal electrical stimulation. The sensation (t) and pain thresholds (T) intensities were calculated using: the traditional threshold method (TM), a linear regression model (LRM), and two variants of a proposed truncated LRM (tLRM). The tLRM analyses data up to an optimal point, chosen according to the maximum goodness-of-fit value (R2). The optimal value of R2 and the convergence based on the regression line gradient formed the base for rejection criteria of failed procedure. Then, we compared the different methods for thresholds assessment as well as mid-painful stimulation (MP), equivalent to 1.5*T or NRS equal to 8, using repeated measures ANOVA. Results: Four participants were rejected according to our criteria. tLRM methods exhibit higher R2 than LRM with 36% less stimuli application. Compared to other methods, tLRM result in significantly higher t and lower T and MP intensities. Last, significantly lower t and T were found for female compared to men, regardless of the calibration method. Conclusions: The proposed method of calibration reduces the number of stimuli delivered and can be easily adapted to other simulation modalities. However, future investigation is recommended using adaptive LRM fitting and verification of reliability.

Competing Interest Statement

The authors have declared no competing interest.

Funding Statement

This work was supported by H2020 EU-funded Marie Skłodowska-Curie Individual Fellowship (MSCA-IF), Grant agreement ID: 896262.

Author Declarations

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

Yes

The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

The calibration procedure design was approved by the Ethics Committee of the Universidad Complutense de Madrid (UCM), the Universidad Politécnica de Madrid (UPM), and the Basque Centre on Cognition, Brain and Language (BCBL), and followed the Helsinki Declaration and national and European Union regulations as part of a the MSCA project.

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Yes

I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

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I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.

Yes

Data Availability

All data produced in the present study are available upon reasonable request to the authors

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