scholarly journals Serum Human Epididymis Protein 4 is Associated with Renal Function and Diabetic Kidney Disease in Patients with Type 2 Diabetes Mellitus

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Miaomiao Zhang ◽  
Bing Zhao ◽  
Jing Xie ◽  
Yan Liang ◽  
Zaixing Yang
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Renal Function ◽  
Regression Analysis ◽  
Diagnostic Performance ◽  
Diabetic Kidney Disease ◽  
Human Epididymis Protein 4 ◽  
Human Epididymis

Human epididymis protein 4 (HE4) is an available tumor biomarker mainly for detecting ovarian cancer. However, it is unknown whether it can be a novel indicator for diagnosis of diabetic kidney disease (DKD). The aim of this study was to investigate the possibility of serum HE4 as a novel biomarker for DKD in patients with type 2 diabetes mellitus (T2DM). We enrolled 236 patients with T2DM and 82 healthy individuals. Serum HE4 was detected by ARCHITECT i2000 and compared between T2DM patients and healthy controls. The relationships between various variables and HE4 were analyzed by univariate or multivariate linear regression analyses. The receiver operating characteristic (ROC) curve was constructed to assess the diagnostic performance of HE4 for DKD. The association between HE4 and DKD was analyzed by logistic regression analysis. The serum HE4 level was significantly increased in T2DM patients (median, interquartile range (IQR), 69.7, 46.5–153.9, pM) compared with healthy control (median, IQR, 40.3 33.2–46.3, pM) (P<0.001). Furthermore, it was higher in those with DKD (median, IQR, 211.1, 141.6–367.4, pM) than those without DKD (median, IQR, 55.5, 42.7–79.6, pM) (P<0.001). The multivariable analysis showed that age, eGFR, HDL, CRP, and urea significantly independently correlated with HE4 level, while other variables did not. The ROC curve showed that the diagnostic performance of serum HE4 for DKD with 82.9 pM as the optimal cutoff value was good (AUC = 0.917, 95% CI: 0.872–0.961, P<0.001, with a sensitivity and specificity of 92.1% and 76.9%, respectively) in T2DM patients. Multivariable logistic regression analysis showed that increased HE4 level was a significant, independent risk factor for DKD (OR, 95% CI, 57.7, 3.0–1112.9, P<0.001) after adjusting for factors associated with HE4. Increased serum HE4 level is associated with decreased renal function and increased risks of DKD in patients with DM. It displays a good diagnostic value for DKD.

scholarly journals Factors predicting the progression of diabetic kidney disease in type 2 diabetic patients using continuous glucose monitoring

2021 ◽  
Vol 17 (7) ◽  
pp. 552-556
Author(s):  
K.I. Moshenets ◽  
N.O. Pertseva
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Regression Analysis ◽  
Blood Glucose ◽  
Kidney Disease ◽  
Blood Glucose Level ◽  
Diabetic Kidney Disease ◽  
Type 2 Dm

Background. An increase in the prevalence of type 2 diabetes mellitus (DM) is accompanied by an increase in the number of patients with severe chronic complications. Diabetic kidney disease (DKD) is the leading cause of death in these patients after cardiovascular diseases. The purpose was to predict the progression of DKD in patients with type 2 diabetes mellitus depending on the glucose variability (GV) measured by continuous glucose monito­ring. Materials and methods. We examined 53 type 2 DM patients aged 57.0 (51.0; 64.0) years with an average disease duration of 9.0 (6.0; 13.0) years. The laboratory examination included determination of glycated hemoglobin, blood creatinine, albuminuria (AU), glomerular filtration rate (GFR) according to CKD-EPI equation. GV was measured by iPro2 GMS system. The maximum and minimum blood glucose levels and standard deviation (SD) of glycemia were considered. The role of GV in predicting DKD progression has been established using stepwise multiple regression analysis. Results. DKD was detected in 41.51 % of patients. In regression analysis, we created a linear multiple regression equation to describe the dependence of AU on the GV, F = 10.39 (p < 0.001). The variability of AU by 36.7 % is due to the minimum level of glycemia and SD of glycemia — multiple correlation coefficient R is 0.6372, the coefficient of determination R2 is 0.4060, adjusted R2 is 0.3670. Partial coefficient of correlation between AU and SD of glycemia, r = 0.25 (p = 0.027); between AU and the minimum blood glucose level, r = 0.31 (p = 0.005). Conclusions. According to the results of correlation analysis, a significant effect of GV, as well as the value of minimum blood glucose level on AU was established. It is statistically proved that high fluctuations of glycemia (SD) should be considered as a factor predicting the progression of DKD in type 2 DM patients. Using regression analysis, a mathematical model of DKD progression in type 2 DM patients was developed based on GV parameters.

scholarly journals Association Between Classical and Emerging Risk Factors for Diabetic Kidney Disease and Albuminuria in a Cohort of Type 2 Diabetes Mellitus Patients

2021 ◽  
Vol 18 (3) ◽  
pp. 17-25
Author(s):  
Stoiţă Marcel ◽  
Popa Amorin Remus
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Kidney Disease ◽  
Diabetic Kidney Disease ◽  
Significant Positive Association ◽  
Diabetic Kidney

Abstract The presence of albuminuria in patients with type 2 diabetes mellitus is a marker of endothelial dysfunction and also one of the criteria for diagnosing diabetic kidney disease. The present study aimed to identify associations between cardiovascular risk factors and renal albumin excretion in a group of 218 patients with type 2 diabetes mellitus. HbA1c values, systolic blood pressure, diastolic blood pressure were statistically significantly higher in patients with microalbuinuria or macroalbuminuria compared to patients with normoalbuminuria (p <0.01). We identified a statistically significant positive association between uric acid values and albuminuria, respectively 25- (OH)2 vitamin D3 deficiency and microalbuminuria (p <0.01).

scholarly journals Parameters of cardiac hemodynamics in patients with diabetes mellitus with impairment of renal function

HYPERTENSION ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 5-10
Author(s):  
I.I. Topchiy ◽  
O.N. Kirienko ◽  
P.S. Semyonovykh ◽  
D.O. Kirienko ◽  
O.I. Tsygankov ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Renal Function ◽  
Structural Parameters ◽  
Left Ventricular ◽  
Control Group ◽  
Group I ◽  
Patients With Diabetes

Currently, diabetes mellitus (DM) is a complex global problem, which is increasing every year. So, in 2019, diabetes mellitus was detected in 463 million adults (from 20 to 79 years old) in the world. And the main cause of death in patients with diabetes mellitus is cardiovascular complications. The study was aimed investigate the features of functional and structural changes in the heart in patients with type 2 diabetes mellitus and nephropathy. A total of 98 patients with type 2 diabetes mellitus were examined, out of which 78 patients had diabetic nephropathy (DN) of varying severity. The control group consisted of 20 healthy patients. After a clinical examination, depending on the state of renal function, all patients were divided into the following groups: group I — patients with type 2 diabetes mellitus without signs of nephropathy (n = 36), group II — patients with type 2 diabetes mellitus with normal glomerular filtration rate (GFR) and albuminuria (n = 33), group III — patients with type 2 diabetes mellitus with decreased GFR and albuminuria (n = 29). To study changes in hemodynamics and structural parameters of the heart, patients underwent transthoracic echocardiography on an ULTIMA PA ultrasound machine (Radmir, Ukraine) using a sectoral phased transducer with a frequency range of 2–3 MHz according to the standard technique based on the recommendations of the American Echocardiographic Society. To determine indexing indicators, the patients underwent anthropometric measurements. Patients with DN and albuminuria and decreased GFR showed an increase in the linear dimensions of the heart in comparison with controls and patients without signs of nephropathy. With DN, patients have a significant increase in left ventricular mass and a significant increase in the detection rate of left ventricular hypertrophy up to 91.3 % in patients with albuminuria and preserved renal function and up to 100 % with a decrease in GFR.

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