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Smartphone-based App to Assess Diabetic Peripheral Neuropathy.

Rachel A G Adenekan1, Adeyinka E Adenekan2, Kenneth K Leung3

  • 1Department of Mechanical Engineering, Stanford University, Stanford, California, USA.

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View abstract on PubMed

Summary
This summary is machine-generated.

A smartphone app accurately measures vibration perception thresholds (SVPTs) for early diabetic peripheral neuropathy (DPN) detection. This accessible tool aids in monitoring nerve damage and preventing amputations in diabetes patients.

Keywords:
diabetes foot examdiabetic peripheral neuropathydigital healthearly detectionremote patient monitoringself-monitoring

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Diabetes Research

Background:

  • Diabetic peripheral neuropathy (DPN) affects 50% of diabetes patients, increasing amputation risk.
  • Current screening methods are inconsistent and often miss early nerve damage.
  • A smartphone application for measuring vibration perception thresholds (SVPTs) offers a precise and accessible monitoring solution.

Purpose of the Study:

  • To assess the clinical relevance and precision of smartphone-based SVPTs for detecting large-fiber sensory deficits in diabetic patients.
  • To compare the efficacy of SVPT measurements with traditional tuning fork exams.

Main Methods:

  • Seventy-one patients with pre-diabetes or diabetes had their SVPTs measured using a smartphone app.
  • SVPT measurements were compared with Rydel-Seiffer tuning fork (RSTF) scores.
  • Multivariable linear regression analyzed correlations between SVPTs, RSTF scores, and clinical markers like HbA1c, age, and diabetes duration.
  • Main Results:

    • SVPTs showed a moderate correlation with RSTF scores (Rs = -0.43, p = 0.0019).
    • In adults aged 50-69, SVPTs significantly correlated with clinical markers (F(4, 29) = 4.76, p = 0.00447).
    • Age and HbA1c interaction positively associated with SVPTs (β = 0.118, p = 0.001), while diabetes duration negatively associated (β = -0.098, p = 0.003).

    Conclusions:

    • A novel, patient-operated smartphone application provides clinically relevant monitoring for large-fiber sensory deficits.
    • This platform offers a precise, reliable, and accessible method for identifying individuals at risk of DPN complications.
    • Early detection via SVPTs can help prevent severe DPN-related outcomes, such as amputations.