Nerve conduction velocity is independently associated with bone mineral density in type 2 diabetes mellitus

Abstract

AimThis study investigated the association between nerve conduction velocity (NCV) and bone mineral density (BMD) in patients with type 2 diabetes mellitus (T2DM).MethodsThis study retrospectively collected medical data of T2DM patients who underwent dual-energy X-ray absorptiometry and nerve conduction study at the Shanghai Ruijin Hospital, Shanghai, China. The primary outcome was the total hip BMD T-score. The main independent variables were motor nerve conduction velocities (MCVs), sensory nerve conduction velocities (SCVs), and composite Z-scores of MCV and SCV. T2DM patients were divided into total hip BMD T-scores < -1 and total hip BMD T-scores ≥ -1 groups. The association between the primary outcome and main independent variables was evaluated by Pearson bivariate correlation and multivariate linear regression.Results195 female and 415 male patients with T2DM were identified. In male patients with T2DM, bilateral ulnar, median, and tibial MCVs and bilateral sural SCVs were lower in the total hip BMD T-score < -1 group than T-score ≥ -1 group (P < 0.05). Bilateral ulnar, median, and tibial MCVs, and bilateral sural SCVs showed positive correlations with total hip BMD T-score in male patients with T2DM (P < 0.05). Bilateral ulnar and tibial MCVs, bilateral sural SCVs, and composite MCV SCV and MSCV Z-scores were independently and positively associated with total hip BMD T-score in male patients with T2DM, respectively (P < 0.05). NCV did not show significant correlation with the total hip BMD T-score in female patients with T2DM.ConclusionNCV showed positive association with total hip BMD in male patients with T2DM. A decline in NCV indicates an elevated risk of low BMD (osteopenia/osteoporosis) in male patients with T2DM.

Age and sex are excellent predictors of bone complications in patients with type 2 diabetes with no history of osteoporotic fracture or treatment for osteoporosis

“…To the best of our knowledge, there have been no similar studies of this specific issue. In addition to age and sex, various other factors, including diabetes, 37 BMI, 38 glycemic control, 39 nutritional status, 40 renal function, 41 and nerve conduction velocity 42 have been shown to contribute to the development of bone fragility in patients with T2DM. Owing to the relatively small sample size in the present study, various known risk factors for bone deterioration could not be adjusted for.…”

"Effectiveness of Acupoint Massage for Improving Sensory Function of Peripheral Nerve in Diabetic Peripheral Neuropathy: A Systematic Review and Meta-Analysis"

“…The calculation formula of the standard was . A percentage <20% was regarded as poorly effective, a percentage ≥20% but <50% was defined as moderately effective, a percentage ≥50% but <85% was defined as highly effective, and a percentage ≥85% was defined as clinically cured [51] Then we could calculate total effectiveness based on the number of patients at each level. Considering that all studies came from China, this method of evaluating the efficacy of TCM therapy was chose because of its popularity in Chinese clinical trials rather than in other areas worldwide.…”

“…It is divided efficacy into four levels: cured, highly effective, moderately effective, and poorly effective. Total effectiveness included the first three levels, and the calculation formula was ((cured+highly effective+moderately effective patients)/(total patients)×100%), which was based on the Criteria of Diagnosis and Therapeutic Effect of Diseases and Syndromes in Tradi-tional Chinese Medicine [51] Fourteen studies used total effectiveness to explore the efficacy of interventions, and we put the post-intervention data into a meta-analysis. [26,[32][33][34][35][36][37][38][39][40][41][42][43][44] The meta-analysis showed no significant heterogeneity (I2=0%, p=0.55).…”

The Relationship Between UA/HDL and Diabetic Peripheral Neuropathy: A Cross-Sectional Analysis

“…1 As DPN is generally characterized by a nonspecific insidious onset, diagnosing it at an early stage is challenging such that missed diagnoses can occur. 7 Early screening for DPN can entail analyses of nerve conduction velocity (NCV), which primarily reflects myelin sheath function, 8 and entails analyses of both motor NCV (MCV) and sensory NCV (SCV). [9][10][11] Serum uric acid (SUA) is the primary end product of the purine metabolism pathway.…”