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 language | English |
|---|---|
| Pages (from-to) | e2110-e2119 |
| Journal | Journal of Clinical Endocrinology and Metabolism |
| Volume | 109 |
| Issue number | 11 |
| DOIs | |
| State | Published - 1 Nov 2024 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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