Literature DB >> 32166849

The Long-Term Response to High-Dose Spinal Cord Stimulation in Patients With Failed Back Surgery Syndrome After Conversion From Standard Spinal Cord Stimulation: An Effectiveness and Prediction Study.

Mats De Jaeger1, Lisa Goudman1,2, Raf Brouns3,4, Ann De Smedt2,5, Bengt Linderoth6, Sam Eldabe7, Maarten Moens1,2,8.   

Abstract

OBJECTIVES: Spinal cord stimulation (SCS) is nowadays available with several stimulation paradigms. New paradigms, such as high dose (HD-)SCS, have shown the possibility to salvage patients who lost their initial pain relief. The first aim of this study is to evaluate the effectiveness of HD-SCS after conversion from standard SCS. The second aim is to develop a model for prediction of long-term response of HD-SCS after unsatisfactory standard SCS.
MATERIALS AND METHODS: Seventy-eight patients with failed back surgery syndrome (FBSS) who are treated with standard SCS were enrolled in the study. Self-reporting questionnaires and outcomes were assessed before conversion and at 1, 3, and 12 months of HD-SCS. Longitudinal mixed models were used to determine the effectiveness of HD-SCS. Logistic regression and classification and decision tree analyses were performed to predict responders (NRS decrease ≥2/10) after 12 months of HD-SCS.
RESULTS: Significant time effects were found for both low back and leg pain responders, suggesting the effectiveness of HD-SCS after conversion. Logistic regression models revealed the importance of pain intensity scores, medication use, paresthesia coverage (for back pain) and EQ5D (for leg pain) as predictors for being a responder after 12 months of HD-SCS.
CONCLUSIONS: Converting patients with unsatisfactory responses from standard SCS to HD-SCS may be an effective strategy to obtain and maintain pain relief in a challenging subgroup of patients with FBSS refractory to standard SCS. The prediction models may guide clinicians in their decision making when considering conversion to HD-SCS in patients with FBSS experiencing inadequate response to standard SCS.
© 2020 International Neuromodulation Society.

Entities:  

Keywords:  Effectiveness; failed back surgery syndrome; high-dose stimulation; prediction; spinal cord stimulation

Mesh:

Year:  2020        PMID: 32166849     DOI: 10.1111/ner.13138

Source DB:  PubMed          Journal:  Neuromodulation        ISSN: 1094-7159


  2 in total

1.  Development of Machine Learning-Based Models to Predict Treatment Response to Spinal Cord Stimulation.

Authors:  Amir Hadanny; Tessa Harland; Olga Khazen; Marisa DiMarzio; Anthony Marchese; Ilknur Telkes; Vishad Sukul; Julie G Pilitsis
Journal:  Neurosurgery       Date:  2022-05-01       Impact factor: 5.315

2.  Advances in Neuromodulation for Chronic Pain.

Authors:  Maarten Moens; Lisa Goudman
Journal:  J Clin Med       Date:  2022-02-07       Impact factor: 4.241

  2 in total

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