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Phase Angle of Bioelectrical Impedance Analysis as an Indicator for Diabetic Polyneuropathy in Type 2 Diabetes Mellitus

  • Lukas Schimpfle
  • , Dimitrios Tsilingiris
  • , Christoph M. Mooshage
  • , Zoltan Kender
  • , Alba Sulaj
  • , Ekatherina Von Rauchhaupt
  • , Julia Szendroedi
  • , Stephan Herzig
  • , Jens Goepfert
  • , Jan Groener
  • , Peter P. Nawroth
  • , Martin Bendszus
  • , Sabine Heiland
  • , Felix T. Kurz
  • , Johann M.E. Jende
  • , Stefan Kopf
  • University Hospital Heidelberg
  • German Centre for Diabetes Research (DZD)
  • Helmholtz Zentrum München German Research Center for Environmental Health
  • University of Tübingen
  • Zentrum für Diabetes und Hormonerkrankungen
  • German Cancer Research Center

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Context: Due to the heterogenous clinical symptoms and deficits, the diagnosis of diabetic polyneuropathy (DPN) is still difficult in clinical routines, leading to increased morbidity and mortality. Objective: We studied the correlation of phase angle (PhA) of bioelectrical impedance analysis (BIA) with clinical, laboratory, and physical markers of DPN to evaluate PhA as a possible diagnostic method for DPN. Materials and methods: In this cross-sectional observational study as part of the Heidelberg Study on Diabetes and Complications, we examined 104 healthy individuals and 205 patients with type 2 diabetes mellitus (T2D), among which 63 had DPN. The PhA was calculated from multifrequency BIA. Nerve conduction studies, quantitative sensory testing (QST) and diffusion-weighted magnetic resonance neurography to determine fractional anisotropy (FA) reflecting peripheral nerve integrity were performed. Results: T2D patients with DPN had lower PhA values (5.71 ± 0.10) compared to T2D patients without DPN (6.07 ± 0.08, P =. 007, + 6.1%) and healthy controls (6.18 ± 0.08, P <. 001, + 7.9%). Confounder-adjusted analyses showed correlations of the PhA with conduction velocities and amplitudes of the peroneal (β=.28; β=.31, P <. 001) and tibial nerves (β=.28; β=.32, P <. 001), Z-scores of QST (thermal detection β=.30, P <. 05) and the FA (β=.60, P <. 001). Receiver-operating characteristic analysis showed similar performance of PhA in comparison to the mentioned diagnostic methods. Conclusion: The study shows that PhA is, in comparison to other test systems used, at least an equally good and much easier to handle investigator-independent marker for detection of DPN.

Original languageEnglish
Pages (from-to)e2110-e2119
JournalJournal of Clinical Endocrinology and Metabolism
Volume109
Issue number11
DOIs
StatePublished - 1 Nov 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • bioelectrical impedance analysis
  • diabetic polyneuropathy
  • magnetic resonance neurography
  • nerve conduction studies
  • phase angle
  • quantitative sensory testing

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