scholarly journals Free Triiodothyronine Levels Are Associated with Diabetic Nephropathy in Euthyroid Patients with Type 2 Diabetes

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Jingcheng Wu ◽  
Xiaohua Li ◽  
Yang Tao ◽  
Yufei Wang ◽  
Yongde Peng
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Nephropathy ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Thyroid Stimulating Hormone ◽  
Free Triiodothyronine ◽  
Cross Sectional ◽  
Traditional Risk Factors

Objective. To investigate the association of thyroid function and diabetic nephropathy (DN) in euthyroid patients with type 2 diabetes.Methods. A total of 421 patients were included in this cross-sectional study. The following parameters were assessed: anthropometric measurements, fast plasma glucose, serum creatinine, lipid profile, HbA1c, free triiodothyronine (FT3), free thyroxine, thyroid-stimulating hormone levels, and urinary albumin-to-creatinine ratio (UACR). Patients with UACR of ≥30 mg/g were defined as those suffering from DN.Results. Of the 421 patients, 203 (48.2%) suffered from DN, and no difference was found between males and females. The patients with DN yielded significantly lower FT3 levels than those without DN (P<0.01). The prevalence of DN showed a significantly decreasing trend across the three tertiles based on FT3 levels (59.6%, 46.4%, and 38.6%,P<0.01). After adjustment for gender and age, FT3 levels were found to correlate positively with estimated glomerular filtration rate (P=0.03) and negatively with UACR (P<0.01). Multiple linear regression analysis showed that FT3 level was independently associated with UACR (β=-0.18,t=-3.70, andP<0.01).Conclusion. Serum FT3 levels are inversely associated with DN in euthyroid patients with type 2 diabetes, independent of traditional risk factors.

scholarly journals Association between poor psychosocial conditions and diabetic nephropathy in Japanese type 2 diabetes patients: A cross-sectional study

2017 ◽  
Vol 9 (1) ◽  
pp. 162-172 ◽  
Author(s):  
Hiroyo Ninomiya ◽  
Naoto Katakami ◽  
Taka-aki Matsuoka ◽  
Mitsuyoshi Takahara ◽  
Hitoshi Nishizawa ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Nephropathy ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Psychosocial Conditions ◽  
Diabetes Patients

scholarly journals Dysregulated Nephrin in Diabetic Nephropathy of Type 2 Diabetes: A Cross Sectional Study

PLoS ONE ◽  
2012 ◽  
Vol 7 (5) ◽  
pp. e36041 ◽  
Author(s):  
Belinda Jim ◽  
Mythili Ghanta ◽  
Andi Qipo ◽  
Ying Fan ◽  
Peter Y. Chuang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Nephropathy ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals The Association Between Leucine and Diabetic Nephropathy in Different Gender: A Cross-Sectional Study in Chinese Patients With Type 2 Diabetes

2021 ◽  
Vol 11 ◽  
Author(s):  
Xiaoqian Gao ◽  
Ruiqin Hou ◽  
Xin Li ◽  
Xing-Hua Qiu ◽  
Hui-Huan Luo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Nephropathy ◽  
Care Center ◽  
Tertiary Care ◽  
Clinical Information ◽  
Cross Sectional Study ◽  
Chinese Patients ◽  
Additive Interaction ◽  
Cross Sectional

ObjectiveThis study aimed to evaluate how leucine are associated with diabetic nephropathy (DN) in type 2 diabetes (T2D) patients and the gender difference of this association.MethodsWe retrieved 1,031 consecutive patients with T2D who meet the inclusion and exclusion criteria from the same tertiary care center and extracted clinical information from electronic medical record. Plasma leucine was measured by liquid chromatography-mass spectrometer. Restricted cubic spline (RCS) was conducted to examine potential non-linear relationship between leucine and the risk of DN. Logistic regression was used to obtain odds ratio (OR) and confidence interval (CI). Additive interaction was used to estimate the interaction effect between leucine and gender for DN.ResultsWe found there was a negative correlation between leucine and the risk of DN. After stratifying all patients by gender, this relationship only remained significant in women (OR:0.57, CI:0.41–0.79).ConclusionsIn conclusion, T2D patients with high levels of leucine have a lower risk of developing DN in female.

scholarly journals Two user-friendly models and a simple cutoff value of neutrophil to lymphocyte ratio (NLR) for early diagnosis of diabetic nephropathy in middle-elderly aged patients with type 2 diabetes: A cross-sectional study

2020 ◽  
Author(s):  
Yiming Tian ◽  
Tao Li ◽  
Hongyuan Gu ◽  
Rui Wang ◽  
Chunming Ma ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Nephropathy ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Aged Patients ◽  
Cross Sectional ◽  
Cutoff Value ◽  
Lymphocyte Ratio ◽  
User Friendly

Abstract Background: Neutrophil to lymphocyte ratio (NLR) has been shown to predict worse outcomes of diabetic nephropathy (DN). This cross-sectional study aimed to investigate the association of NLR and DN in middle-elderly aged patients with type 2 diabetes, and attempted to confirm an optimized cutoff value of NLR for DN prediction.Methods: A total of 146 patients with type 2 diabetes were retrospectively included in this study. DN was defined as urine albumin to creatinine ratio (UACR) ≥30mg/g, or effective glomerular filtration rate (eGFR) ≤ 60ml/min·1.73m2. To evaluate the predictive role of NLR, logistic regression analysis and receiver operating characteristics (ROC) curve analysis were applied. Canonical discriminant functions were used to construct the discriminant equations.Results: NLR, diabetes duration, systolic blood pressure (SBP) and lipo-protein a [Lp(a)] independently predicted DN diagnosis after adjusted by multi-variables. NLR value of 2.04 had a sensitivity of 48.9% and a specificity of 80.8% in predicting DN, with area under the curve (AUC) of 0.666. When the threshold of NLR was elevated to 2.50, the specificity and sensitivity were 90.9% and 29.8%, respectively. User-friendly model 1 and model 2 were constructed using the independent risk factors mentioned above, with the AUC of 0.819 and 0.817, respectively.Conclusions: Two models of user-friendly equations were constructed for early prediction of DN, which could be easily calculated and stored in office computer. NLR threshold of 2.50 is recommended in clinical use to identify the patients at high risk of DN, for its high specificity and remarkable convenience.

scholarly journals Two user-friendly models and a simple cutoff value of neutrophil to lymphocyte ratio (NLR) for early diagnosis of diabetic nephropathy in middle-elderly aged patients with type 2 diabetes: A cross-sectional study

2020 ◽  
Author(s):  
Yiming Tian ◽  
Tao Li ◽  
Hongyuan Gu ◽  
Rui Wang ◽  
Chunming Ma ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Nephropathy ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Aged Patients ◽  
Cross Sectional ◽  
Cutoff Value ◽  
Lymphocyte Ratio ◽  
User Friendly

Abstract Background: Neutrophil to lymphocyte ratio (NLR) has been shown to predict worse outcomes of diabetic nephropathy (DN). This cross-sectional study aimed to investigate the association of NLR and DN in middle-elderly aged patients with type 2 diabetes, and attempt to confirm an optimized cutoff value of NLR for DN prediction. Methods: A total of 146 patients with type 2 diabetes were retrospectively included in this study. DN was defined as urine albumin to creatinine ratio (UACR) ≥30mg/g, or effective glomerular filtration rate (eGFR) ≤ 60ml/min·1.73m2. Logistic regression anlysis, canonical discriminant functions and receiver operating characteristics (ROC) curve analysis were used to construct the discriminant equations and identify the cutoff value of parameters. Results: NLR, diabetes duration, systolic blood pressure (SBP) and lipo-protein A [Lp(a)] independently predicted DN diagnosis after adjusted by multi-variables. NLR value of 2.04 had a sensitivity of 48.9% and a specificity of 80.8% in predicting DN, with area under the curve (AUC) of 0.666. When the threshold of NLR was elevated to 2.50, the specificity and sensitivity were 90.9% and 29.8%, respectively. User-friendly model 1 and model 2 were constructed using the independent risk factors mentioned above, with the AUC of 0.819 and 0.817, respectively. Conclusions: Two models of user-friendly equations were constructed for early prediction of DN, which could be easily calculated and stored in office computer. NLR threshold of 2.50 was recommended in clinical use to locate the patients at high risk of DN, for its high specificity and remarkable convenience.

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