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Background:
The evaluation of somatosensory dysfunction is important for diagnostics and may also have implications for prognosis and management. The current standard to evaluate somatosensory dysfunction is quantitative sensory testing (QST), which is expensive and time consuming. This study describes a low-cost and time-efficient clinical sensory test battery (CST), and evaluates its concurrent validity compared to QST.
Method: Three patient cohorts with carpal tunnel syndrome (CTS, n=86), non-specific neck and arm pain (NSNAP, n=40) and lumbar radicular pain/radiculopathy (LR n=26) were included. The CST consisted of 13 tests, each corresponding to a QST parameter and evaluating a broad spectrum of sensory functions using mechanical and thermal detection and pain thresholds and testing both loss and gain of function. Agreement rate, significance and strength of correlation between CST and QST were calculated.
Results: Several CST parameters (cold and warm detection, cold pain, mechanical detection, mechanical pain for loss of function, pressure pain) were significantly correlated with QST, with a majority demonstrating >60% agreement rates and weak to relatively strong correlations. However, agreement varied among cohorts. Gain of function parameters showed stronger correlation in the CTS and NSNAP cohort, whereas loss of function parameters performed better in the LR cohort. Other CST parameters (vibration detection, heat pain, mechanical pain for gain of function, windup ratio) did not significantly correlate with QST.
Conclusion: Some, but not all tests in the CST battery can detect somatosensory dysfunction as determined with QST. The CST battery may perform better when the somatosensory phenotype is more pronounced.
Background
This study describes a low-cost and time-efficient clinical sensory test (CST) battery and evaluates its concurrent validity as a screening tool to detect somatosensory dysfunction as determined using quantitative sensory testing (QST).
Method
Three patient cohorts with carpal tunnel syndrome (CTS, n = 76), non-specific neck and arm pain (NSNAP, n = 40) and lumbar radicular pain/radiculopathy (LR, n = 26) were included. The CST consisted of 13 tests, each corresponding to a QST parameter and evaluating a broad spectrum of sensory functions using thermal (coins, ice cube, hot test tube) and mechanical (cotton wool, von Frey hairs, tuning fork, toothpicks, thumb and eraser pressure) detection and pain thresholds testing both loss and gain of function. Agreement rate, statistical significance and strength of correlation (phi coefficient) between CST and QST parameters were calculated.
Results
Several CST parameters (cold, warm and mechanical detection thresholds as well as cold and pressure pain thresholds) were significantly correlated with QST, with a majority demonstrating >60% agreement rates and moderate to relatively strong correlations. However, agreement varied among cohorts. Gain of function parameters showed stronger agreement in the CTS and LR cohorts, whereas loss of function parameters had better agreement in the NSNAP cohort. Other CST parameters (16 mN von Frey tests, vibration detection, heat and mechanical pain thresholds, wind-up ratio) did not significantly correlate with QST.
Conclusion
Some of the tests in the CST could help detect somatosensory dysfunction as determined with QST. Parts of the CST could therefore be used as a low-cost screening tool in a clinical setting.
Significance
Quantitative sensory testing, albeit considered the gold standard to evaluate somatosensory dysfunction, requires expensive equipment, specialized examiner training and substantial time commitment which challenges its use in a clinical setting. Our study describes a CST as a low-cost and time-efficient alternative. Some of the CST tools (cold, warm, mechanical detection thresholds; pressure pain thresholds) significantly correlated with the respective QST parameters, suggesting that they may be useful in a clinical setting to detect sensory dysfunction.