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ORIGINAL RESEARCH

Lower Visceral Fat Area in Patients with Type 2 Diabetic Peripheral Neuropathy

ORCID Icon, ORCID Icon, , , , , , & ORCID Icon show all
Pages 3639-3654 | Received 03 Sep 2022, Accepted 10 Nov 2022, Published online: 21 Nov 2022

Figures & data

Figure 1 Flow chart of the selection of study participants.

Figure 1 Flow chart of the selection of study participants.

Table 1 Clinical and Biochemical Characteristics of Patients Stratified by Presence of DPN

Figure 2 Comparison of VFA levels between non-DPN and DPN groups. *P < 0.01 vs non-DPN group.

Figure 2 Comparison of VFA levels between non-DPN and DPN groups. *P < 0.01 vs non-DPN group.

Table 2 Relationship Between VFA and Risk Factors Associated with DPN in Study Participants

Table 3 OR and 95% CI of the Risk of DPN According to VFA Quartiles

Table 4 The Result of Two-Piecewise Linear Regression Model

Figure 3 Multivariate adjusted smoothing spline plots of the Risk of DPN hospitalized patients with T2DM. We adjusted parameters such as anthropometry, glucolipid metabolism, inflammation, oxidative stress, and diabetic vasculopathy in Model 5 of . The solid red line represents the best-fit line, and the dotted blue lines are 95% confidence intervals.

Figure 3 Multivariate adjusted smoothing spline plots of the Risk of DPN hospitalized patients with T2DM. We adjusted parameters such as anthropometry, glucolipid metabolism, inflammation, oxidative stress, and diabetic vasculopathy in Model 5 of Table 3. The solid red line represents the best-fit line, and the dotted blue lines are 95% confidence intervals.

Figure 4 ROC analysis of visceral fat area (VFA) to predict the presence of DPN in T2DM patients. AUC = 0.621; 95% CI, 0.597–0.644; P<0.001; identified VFA cutoff value = 50.5 cm2; Youden index = 0.184; sensitivity: 84.40%; specificity: 34.00%.

Figure 4 ROC analysis of visceral fat area (VFA) to predict the presence of DPN in T2DM patients. AUC = 0.621; 95% CI, 0.597–0.644; P<0.001; identified VFA cutoff value = 50.5 cm2; Youden index = 0.184; sensitivity: 84.40%; specificity: 34.00%.