A digital tool for multidimensional assessment and prediction of treatment effectiveness in chronic pain management

Given the multidimensional aspect of pain, the assessment of treatment efficacy is challenging. The prospective observational multicenter PREDIBACK study aimed to assess, compare, and predict the effectiveness of different treatments for persistent spinal pain syndrome type 2 (PSPS-T2) using a digital tool and the Multidimensional Clinical Response Index (MCRI) including pain intensity, functional disability, quality of life, anxiety and depression, and pain surface. Results indicated that neurostimulation was the most effective treatment at 3-, 6-, 9-, and 12-month follow-up compared to baseline, leading to significant improvements in pain, function, and quality of life, whereas optimized medical management (OMM) and spinal reoperation showed no significant benefits. Additionally, the study identified pain surface, BMI, and smoking status as predictors of treatment outcomes. These findings highlight the potential of digital medicine to improve patient care by providing data-driven insights and personalized treatment recommendations for PSPS-T2.

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Publication Details

Journal
iScience
Published
2024-10-18
DOI
https://doi.org/10.1016/j.isci.2024.111200
Citations
7
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
Field-Weighted Citation Impact
3.13

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article

A digital tool for multidimensional assessment and prediction of treatment effectiveness in chronic pain management

Géraldine Brumauld de Montgazon, Philippe Page, Mathilde Many, Sandrine Baron et al.
7 citations
iScience
Musculoskeletal pain and rehabilitation
3.13
article

A digital tool for multidimensional assessment and prediction of treatment effectiveness in chronic pain management

Géraldine Brumauld de Montgazon, Philippe Page, Mathilde Many, Sandrine Baron, Lisa Goudman, Bénédicte Bouche, Kévin Nivole, Manuel Roulaud, Bertille Lorgeoux, Nicolas Naïditch, Philippe Rigoard, Brigitte Roy-Moreau, Romain David, Amine Ounajim, Maarten Moens, Maxime Billot, Raouf Boukenna, Lucie Lampert
article en
7 citations

Abstract

Given the multidimensional aspect of pain, the assessment of treatment efficacy is challenging. The prospective observational multicenter PREDIBACK study aimed to assess, compare, and predict the effectiveness of different treatments for persistent spinal pain syndrome type 2 (PSPS-T2) using a digital tool and the Multidimensional Clinical Response Index (MCRI) including pain intensity, functional disability, quality of life, anxiety and depression, and pain surface. Results indicated that neurostimulation was the most effective treatment at 3-, 6-, 9-, and 12-month follow-up compared to baseline, leading to significant improvements in pain, function, and quality of life, whereas optimized medical management (OMM) and spinal reoperation showed no significant benefits. Additionally, the study identified pain surface, BMI, and smoking status as predictors of treatment outcomes. These findings highlight the potential of digital medicine to improve patient care by providing data-driven insights and personalized treatment recommendations for PSPS-T2.

iScienceVol. 27(12)
Centre National de la Recherche Scientifique (FR), Vrije Universiteit Brussel (BE), Research Foundation - Flanders (BE), Institut Pprime (FR), Université de Poitiers (FR), Centre de Recherches sur la Cognition et l'Apprentissage (FR), Nordland Hospital (NO), Centre Hospitalier Universitaire de Poitiers (FR), Predict (France) (FR), Universitair Ziekenhuis Brussel (BE), Centre Hospitalier de La Rochelle (FR)
Medtronic
Openalex Percentile: Top 8%
Musculoskeletal pain and rehabilitation
3.13
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