Volume 45 Issue 8
Aug.  2024
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Enxian ZHU, Ben NIU, Lina TIAN, Yajuan XIE. Risk Factor Analysis of Type 2 Diabetic Peripheral Neuropathy Complicated with Microangiopathy[J]. Journal of Kunming Medical University, 2024, 45(8): 44-51. doi: 10.12259/j.issn.2095-610X.S20240807
Citation: Enxian ZHU, Ben NIU, Lina TIAN, Yajuan XIE. Risk Factor Analysis of Type 2 Diabetic Peripheral Neuropathy Complicated with Microangiopathy[J]. Journal of Kunming Medical University, 2024, 45(8): 44-51. doi: 10.12259/j.issn.2095-610X.S20240807

Risk Factor Analysis of Type 2 Diabetic Peripheral Neuropathy Complicated with Microangiopathy

doi: 10.12259/j.issn.2095-610X.S20240807
  • Received Date: 2024-01-03
    Available Online: 2024-07-06
  • Publish Date: 2024-08-05
  •   Objective   To investigate the risk factors of type 2 diabetic peripheral neuropathy (DPN) complicated with microangiopathy.   Methods  A total of 197 DPN patients hospitalized in the Department of Endocrinology of the First People's Hospital of Yunnan Province from November 1, 2021 to December 31, 2022 were retrospectively reviewed. Patients were divided into groups based on whether they had concurrent microvascular complications: 66 cases in the pure DPN group, 45 cases in the DPN combined with type 2 diabetic retinopathy (DR) group, 50 cases in the DPN combined with type 2 diabetic kidney disease (DKD) group, and 36 cases in the DPN combined with DR and DKD group. General conditions and relevant clinical indicators of the patients were collected to analyze the factors influencing the combination of DPN with microvascular complications.  Results  The prevalence of DPN alone was 33.50%, DPN combined with DR Was 22.84%, DPN combined with DKD was 25.38%, and DPN combined with DR and DKD was 18.27%. In the four groups, age, disease duration, history of hypertension, systolic blood pressure (SBP), estimated glomerular filtration rate (eGFR), creatinine (Cr), blood urea nitrogen (BUN), albumin (ALB), albumin/globulin ratio (A/G), free triiodothyronine (FT3), fasting C-peptide (C-P), two hours of C-peptide (C-P2), fasting insulin (INS), insulin 2 hours after a meal (INS2h), time in range (TIR) for glucose, visceral fat area (VFA), and standard deviation of NN intervals (SDNN) for sinus rhythm all show statistically significant differences (P < 0.05). The results of logistic regression analysis show that compared to DPN patients, age (OR = 0.882, 95%CI: 0.814~0.956, P = 0.002) and eGFR (OR=0.934, 95%CI: 0.886~0.985, P = 0.011) are protective factors for those with DPN and DR, while SBP (OR = 1.030, 95%CI: 1.003~1.058, P = 0.028) is an independent risk factor. When comparing DPN patients with those who have DPN and DKD, SBP (OR = 1.026, 95%CI: 1.001~1.052, P = 0.042) is an independent risk factor. Comparing DPN patients with those who have DPN and both DR and DKD, FT3 (OR = 0.468, 95%CI: 0.224~0.976, P = 0.43) is a protective factor, while SBP (OR = 1.029, 95%CI: 1.000~1.059, P = 0.047) and VFA (OR = 1.027, 95%CI: 1.006~1.049, P = 0.013) are independent risk factors.  Conclusion  Elevated systolic blood pressure and visceral fat are high-risk factors for the development of microvascular complications in diabetic peripheral neuropathy (DPN), contributing to the occurrence and progression of microvascular complications in DPN.
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