Diabetes complications

Diagnostic Accuracy of Perception Threshold Tracking in the Detection of Small Fiber Damage in Type 1 Diabetes

J Diabetes Sci TechnolPublished Diagnostic accuracy study

Authors' conclusion

Perception threshold tracking had a very high diagnostic agreement with corneal confocal microscopy for detecting small nerve fiber loss and may have clinical utility for assessing small nerve fiber damage and hence early DPN.

Study context

Population
Participants with T1D without DPN, with DPN, with painful DPN, and healthy controls
Participants
20 / 20 / 20 / 20
Comparison
Perception threshold tracking vs corneal confocal microscopy
  • T1DM without DPNn = 20
  • DPNn = 20
  • Painful DPNn = 20
  • Healthy controls (HCs)n = 20reference
Outcome
Diagnostic accuracy of perception threshold tracking on the foot vs corneal confocal microscopy for small nerve fiber damage

Performance

As reported in the abstract

Diagnostic accuracy of rheobase for small nerve fiber damage defined by CNFL
Test or modelSensitivitySpecificityPPVNPV
Perception threshold tracking (rheobase)94%94%97%89%

Perception threshold tracking (rheobase)

Sensitivity94%
Specificity94%
PPV97%
NPV89%

Further findings

Between-group differences in rheobase, corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD) and corneal nerve fiber length (CNFL)

Rheobase, CNFD, CNBD and CNFL differed between groups
all P < .001

Correlation of rheobase with CNFD, CNBD, CNFL and Michigan Neuropathy Screening Instrument

Significant correlation of rheobase with CNFD, CNBD, CNFL and MNSI
all P < .001

Original publication

Diagnostic Accuracy of Perception Threshold Tracking in the Detection of Small Fiber Damage in Type 1 Diabetes. J Diabetes Sci Technol. Published 24 February 2023. doi:10.1177/19322968231157431

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.