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Correlation study of renal function indices with diabetic peripheral neuropathy and diabetic retinopathy in T2DM patients with normal renal function

Bibliographic Data

ID22072177
AuthorsYue-Yang Zhang, Yue‐Yang Zhang (Southwest Medical University), Bing-Xue Chen, Bingxue Chen (0000-0002-3367-6555, Southwest Medical University), Zhuang Chen (0000-0001-9069-5413, Affiliated Hospital of Southwest Medical University), Qin Wan (0000-0002-3498-0399, Affiliated Hospital of Southwest Medical University, corresponding author)
Year2023
Volume11
Pages1302615-1302615
Publication date2023-12-15
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1302615
PMID38174078
OpenAlexW4389793809
LanguageEN
References cited46

Background The anticipation of diabetes-related complications remains a challenge for numerous T2DM patients, as there is presently no effective method for early prediction of these complications. This study aims to investigate the association between renal function-related indicators and the occurrence of peripheral neuropathy and retinopathy in individuals diagnosed with type 2 diabetes mellitus (T2DM) who currently have normal renal function. Methods Patients with T2DM who met the criteria were selected from the MMC database and divided into diabetic peripheral neuropathy (DPN) and diabetic retinopathy (DR) groups, with a total of 859 and 487 patients included, respectively. Multivariate logistic regression was used to analyze the relationship between blood urea nitrogen (BUN), creatinine (Cr), uric acid (UA), urine albumin(ALB), albumin-to-creatinine ratio (ACR), estimated glomerular filtration rate (eGFR), and diabetic peripheral neuropathy and retinopathy. Spearman correlation analysis was used to determine the correlation between these indicators and peripheral neuropathy and retinopathy in diabetes. Results In a total of 221 patients diagnosed with DPN, we found positive correlation between the prevalence of DPN and eGFR (18.2, 23.3, 35.7%, p < 0.05). Specifically, as BUN (T1: references; T2:OR:0.598, 95%CI: 0.403, 0.886; T3:OR:1.017, 95%CI: 0.702, 1.473; p < 0.05) and eGFR (T1: references; T2:OR:1.294, 95%CI: 0.857, 1.953; T3:OR:2.142, 95%CI: 1.425, 3.222; p < 0.05) increased, the odds ratio of DPN also increased. Conversely, with an increase in Cr(T1: references; T2:OR:0.86, 95%CI: 0.56, 1.33; T3:OR:0.57, 95%CI: 0.36, 0.91; p < 0.05), the odds ratio of DPN decreased. Furthermore, when considering sensitivity and specificity, eGFR exhibited a sensitivity of 65.2% and specificity of 54.4%, with a 95% confidence interval of 0.568–0.656. Conclusion In this experimental sample, we found a clear positive correlation between eGFR and DPN prevalence

Blood urea nitrogen · Creatinine · Diabetes mellitus · Diabetic retinopathy · Logistic regression · Odds ratio · Peripheral neuropathy · Renal function · Retinopathy · Type 2 diabetes · Type 2 Diabetes Mellitus · Chronic Kidney Disease and Diabetes · Medicine · Retinal Diseases and Treatments · Retinal Imaging and Analysis · Endocrinology · Gastroenterology · Internal Medicine

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