z-logo
open-access-imgOpen Access
Thermal Perception Abnormalities Can Predict Diabetic Kidney Disease in Type 2 Diabetes Mellitus Patients
Author(s) -
Fang Wei-Ching,
Chou Kuei-Mei,
Sun Chiao-Yin,
Lee Chin-Chan,
Wu I-Wen,
Chen Yung-Chang,
Pan Heng-Chih
Publication year - 2020
Publication title -
kidney and blood pressure research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.806
H-Index - 51
eISSN - 1423-0143
pISSN - 1420-4096
DOI - 10.1159/000510479
Subject(s) - research article
Background: Previous studies have illustrated clinical associations between diabetic peripheral neuropathy (DPN) and diabetic kidney disease (DKD). Quantitative sensory testing (QST) can accurately detect thermal perception abnormalities and aid in the early diagnosis of asymptomatic small-fiber DPN in patients with type 2 diabetes. The aim of this study was to determine the predictive value of thermal perception abnormalities by QST to detect DKD. Methods: We prospectively enrolled 432 patients with type 2 diabetes (50.2% male, mean age 57.2 years, and average duration of diabetes 9.9 years) at our hospital between 2016 and 2017. Demographic and clinical data of the patients were recorded and analyzed. Diagnosis and staging of DKD were determined by urinary albumin excretion rate and estimated glomerular filtration rate. The presence of thermal perception abnormalities was determined by QST. Multiple logistic regression and receiver operating characteristic (ROC) analyses were performed to investigate the relationships between thermal perception abnormalities and DKD in these patients. Results: In multiple regression analysis, abnormal cold perception in the lower limbs was associated with an increased risk of advanced DKD. Area under the ROC curve analysis revealed that four-limb cold perception abnormalities had the best discriminatory power (0.741 ± 0.053) to predict advanced DKD. Conclusions: Our results demonstrate the value of using thermal perception abnormalities to identify patients with type 2 diabetes also at risk of DKD.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here