Quantitative sensory testing in a large cohort of neuropathy patients

Abstract

Background:
 Quantitative sensory testing (QST) is a subjective but reliable and quantifiable method to detect patient thresholds to different sensory stimuli. QST is used to measure small- and large-fiber nerve function and can be used in conjunction with other diagnostic modalities in the evaluation of peripheral neuropathy (PN). The utility of QST to distinguish among different types of PN, however, has not been explored. The objective of the study was to evaluate if different patterns of QST abnormalities could distinguish between PN types.
 Methods:
 This single-center retrospective cohort study evaluated the frequency of QST abnormalities to vibratory, cold and heat detection thresholds in a large population of PN cases evaluated at the University of Texas Southwestern Medical Center peripheral neuropathy clinic between 1995-2000. PN was categorized by etiology.
 Results:
 A total of 559 QST studies were performed in this study. The average age of patients (n=557) was 60 years with a male-to-female ratio of 1:1. The most common diagnosis was cryptogenic sensory polyneuropathy (CSPN, n=294), followed by Charcot–Marie–Tooth disease (n=84)). Meta-regression of vibration and cold indicate that the expected proportion of abnormal responses is less for the vibration test (p = 0.0002), relative to the cold test. However, no differences were observed between diagnoses.
 Conclusions:
 Though abnormal QST thresholds were seen in most patients with PN, patterns of QST abnormalities do not distinguish between different types of PN. The routine clinical utility of QST is likely limited.