Guoji laonian yixue zazhi (Nov 2024)

Ultrasonic Assessment of the Relationship between Renal Resistance Index and Carotid Atherosclerosis in Elderly Patients with Diabetic Nephropathy

  • Zhang Baozhen,
  • Li Xiaoyu,
  • Liu Xiaoyan,
  • Ji Xiaojuan,
  • Li Xiaoying

DOI
https://doi.org/10.3969/j.issn.1674-7593.2024.06.002
Journal volume & issue
Vol. 45, no. 6
pp. 648 – 652

Abstract

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Objective To investigate the relationship between renal resistance index (RRI) assessed by ultrasonography and carotid atherosclerosis in elderly patients with diabetic nephropathy. Methods A total of 120 elderly diabetic nephropathy patients admitted to Beijing Jishuitan Hospital affiliated to Capital Medical University from January 2023 to December 2023 were selected and grouped according to whether they had carotid atherosclerosis or not. Patients with thickening and/or plaque of carotid artery were selected as the study group (65 cases), otherwise as the control group (55 cases). General clinical data of patients were collected, the relationship between intima-media thickness (IMT) and RRI was analyzed by Pearson correlation analysis, the influencing factors of carotid atherosclerosis in elderly patients with diabetic nephropathy were analyzed by multivariate logistic regression analysis, and the predictive value of RRI on carotid atherosclerosis was analyzed by ROC curve. Results There were significant differences in duration of diabetes, glycosylated hemoglobin, fasting blood glucose, low-density lipoprotein cholesterol, uric acid, RRI, estimated glomerular filtration rate (eGFR), neutrophil-to-lymphocyte ratio (NLR) and carotid IMT between the two groups (P<0.05) Pearson correlation analysis showed that IMT was positively correlated with RRI (r=0.884, P<0.001). Multivariate logistic regression analysis showed that the duration of diabetes, HbA1c, fasting blood glucose, low density lipoprotein, uric acid, RRI, eGFR and NLR were all influential risk factors for carotid atherosclerosis (P<0.05). ROC curve showed that the AUC of RRI for predicting carotid atherosclerosis in patients was 0.818 (95%CI:0.741~0.896, P<0.001), Cut off was 0.71, sensitivity was 0.677, specificity was 0.891, and the maximum approximate entry index was 0.568. Conclusion RRI is positively correlated with carotid atherosclerosis in elderly patients with diabetic nephropathy, and RRI has a certain predictive value for carotid atherosclerosis in patients with diabetic nephropathy, suggesting that RRI may be one of the important indicators to evaluate carotid atherosclerosis in elderly patients with diabetic nephropathy.

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