29Dec 2024
Early Prediction of Central Post-Stroke Pain via QST Patterns

Early Prediction of Central Post-Stroke Pain via QST Patterns

This longitudinal study aimed to distinguish patients with acute stroke who later develop central post-stroke pain (CPSP) from those with non-pain sensory stroke (NPSS) using quantitative somatosensory testing (QST) patterns. Among 75 stroke patients, 26 (34.7%) developed CPSP within 12 months. Early QST differences included contralesional cold hypoesthesia in CPSP patients and cold hyperalgesia in NPSS patients. A gradient-boosting model predicted CPSP with 84.6% accuracy, highlighting the potential of QST patterns for early identification. Approximately 80% of CPSP and NPSS patients exhibited bilateral QST abnormalities in both acute and chronic phases.

  • #neurology

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