Related Experiment Video
Updated: Jun 17, 2026
07:28
A Protocol of Manual Tests to Measure Sensation and Pain in Humans
Published on: December 19, 2016
20.9K
Prediction of Central Post-Stroke Pain by Quantitative Sensory Testing
Susanna Asseyer1,2, Eleni Panagoulas3,4,5, Jana Maidhof6
1Experimental and Clinical Research Centre, Max Delbrück Center Berlin and Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.
Annals of Neurology
|December 27, 2024
Summary
Early cold perception differences in stroke patients can predict central post-stroke pain (CPSP). Quantitative somatosensory testing (QST) patterns show potential for predicting CPSP development in acute stroke survivors.
Area of Science:
- Neurology
- Pain Medicine
- Neuroscience
Background:
- Central post-stroke pain (CPSP) is a debilitating condition following acute stroke.
- Identifying predictors of CPSP is crucial for early intervention and management.
- Quantitative somatosensory testing (QST) may reveal early somatosensory changes associated with CPSP development.
Purpose of the Study:
- To identify differences in somatosensory profiles between acute stroke patients who develop CPSP and those who do not (non-pain sensory stroke [NPSS]).
- To evaluate the predictive potential of these somatosensory profiles for CPSP development.
Main Methods:
- A prospective longitudinal study involving 75 acute stroke patients with somatosensory symptoms.
- Quantitative somatosensory testing (QST) performed in the acute/subacute phase (within 10 days) and over 12 months.
- Statistical analysis included Mann-Whitney U-tests and mixed analysis of variances to compare QST scores between CPSP and NPSS groups.
Main Results:
- 34.7% of patients developed CPSP.
- Acute phase CPSP patients exhibited contralesional cold hypoesthesia (p=0.04) but no dynamic mechanical allodynia (DMA) differences compared to NPSS.
- Exploratory analysis revealed cold hyperalgesia in NPSS patients (p=0.011).
- A gradient-boosting model predicted CPSP with 84.6% accuracy, 75% recall, and 75% precision based on pre-pain QST patterns.
- Bilateral QST abnormalities were present in approximately 80% of both CPSP and NPSS patients.
Conclusions:
- Differences in cold perception emerge early post-stroke, preceding CPSP onset.
- QST patterns show feasibility for predicting CPSP development.
- Early identification of somatosensory changes may aid in predicting CPSP risk.
