Evaluation of urinary TNF-α and KIM-1 biomarkers in T2DM in Upper Egypt

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Magdy EL Sharkawy ◽  
Samir K Abdul-Hamid ◽  
Tarek T Elmelegy ◽  
Mohammed F Adawy

Abstract Background Diabetes mellitus (DM) is the most frequent cause of chronic kidney failure in both developed and developing countries. Diabetic nephropathy, is a clinical syndrome characterized by albuminuria (>300 mg/day) with permanent and irreversible decrease in glomerular filtration rate (GFR). Aim of the Work To study the role of urinary TNF-α and urine KIM-1 in type 2 diabetic patients as predictors of DN comparative with albuminuria. Patients and Methods This is a cross-sectional study which include 90 type-2 diabetic patients and 30 controls selected from the outpatient clinic of Assiut University hospitals. All patients gave an informed consent and approval for the study was obtained from the IRB committee of the Assiut Medical Faculty. The recruited patients were divided into three groups: Normo-albuminuria Group (A) (n = 30): UACR less than 30 mg/gm, Microalbuminuria Group (B) (n = 30): UACR between 30-299 mg/gm and Macro-albuminuria Group (C) (n = 30): UACR equal or more than 300 mg/gm. Assess Urinary TNF-α and urine KIM-1 in comparision with albuminuria. Results Urinary KIM-1 and urinary TNF-α are statically significant with albuminuria in patients in the early stage of diabetic nephropathy (eGFR _60 mL/min/1.73 m2).Also there are statically significance between patients with macroalbuminuria than microalbuminuria. Conclusion The results of this study recommend the use of KIM-1 and TNF-α as good predictors of early detection of development of diabetic nephropathy.

2020 ◽  
Vol 11 (1) ◽  
pp. 93-108
Author(s):  
Madhavi Mannam ◽  
Lavanya Nalluri ◽  
Dhanalakshmi Pinnika ◽  
Mounika Pothuraju ◽  
Ravindrababu Pingili ◽  
...  

Diabetic nephropathy is the leading cause of the end-stage renal disease (ESRD) worldwide, and it is estimated that ~ 20% of type 2 diabetic patients reach ESRD during their lifetime. The objective of the present study was to assess the drug utilization pattern, risk factors, and prevalence of diabetic nephropathy in patients with type 2 diabetes mellitus in a south Indian tertiary care hospital. A cross-sectional observational study was conducted on 613 subjects (254 with and 359 without diabetic nephropathy). Prevalence of diabetic nephropathy was measured, and risk factors for the development of diabetic nephropathy were determined by calculating odds ratios using graph-pad prism statistical software, and drug utilization pattern was assessed. Nephropathy was significantly higher in subjects who are married (98.8%, OR, 3.903; 95% CI, 1.125-13.54, P=0.0211),  poorly educated (61%, OR, 0.3670;95%CI, 0.2635-0.5112, P<0.0001), house wives (44.4%, OR, 0.5492; 95% CI, 0.3432 - 0.8789, P=0.0120), rural residents (51.2%, OR, 0.3943; 95% CI, 0.2820-0.5513, P<0.0001) and risk factors were hypertension (37.44%, OR, 4.131; 95% CI, 2.687-6.350, P<0.0001), other diseases (36.51%, OR, 4.963; 95% CI, 3.202 -7.692, P<0.0001), Endocrine diseases (9.53%, OR, 2.460; 95% CI, 1.433- 4.224, P=0.0009), history of CVD (7.90%, OR, 17.20; 95% CI, 7.049- 41.95, P<0.0001), HbA1c (36.1%, OR, 3.380; 95% CI, 2.157- 5.295, P<0.0001), low HDL (23%, OR, 0.5961; 95% CI, 0.3572 - 0.9947 , P=0.0470), high FBS levels (29.3%, OR, 6.111; 95%CI, 1.283 -29.10, P=0.0113), high triglyceride levels (39.8%, OR, 0.6077; 95%CI, 0.3878 -0.9523, P=0.0293), high serum creatinine (28.3%, OR, 154.3; 95% CI, 37.92- 627.7, P<0.0001), duration of T2DM(5-10years 39.8%, OR, 2.653;95% CI, 1.778 - 3.958, & > 10 years 37%, OR, 3.606 ; 95% CI, 2.362-5.504, P<0.0001), physical inactivity(64.9%, OR, 0.5188;95% CI, 0.3727-0.7220 , P<0.0001), soft drinks occasionally (31.9%, OR, 2.253; 95% CI, 1.531-3.315, P<0.0001), habit of taking tea /coffee twice without sugar(42.3%, OR, 1.845; 95% CI, 1.094 to 3.112, P=0.0208) were significant risk factors for development of nephropathy. Metformin (47.05%), a combination of Glimepiride and Metformin (30.71%), a combination of insulin isophane and insulin regular (29.41%), teneligliptin (10.45%), insulin regular (9.80%) were the anti-diabetic medications mostly given to the T2DM patients with nephropathy. The present study revealed that the risk factors for the development of diabetic nephropathy were multiple.


Author(s):  
Vijayashree S. Gokhale ◽  
Kshithija R. Sajjan ◽  
Rupesh Parati ◽  
Keyuri Mehta

Background: Type 2 diabetes, with its complications is perpetually on the rise more so in India .Diabetic Nephropathy progresses silently, and manifests at a stage where, patient can be offered only renal replacement. This study was undertaken to detect early markers of Diabetic Nephropathy. Aims and objective of the study was to study early nephropathy by UACR (urinary albumin/creatinine ratio), RFT (renal function test) and e-GFR in Type 2 diabetic patients of more than 2 years duration, with and without hypertension.Methods: A hospital based cross-sectional observational study, of 100 patients, 18-60 years of age, of type 2 Diabetes of 2 year duration and above, of which 50 were only diabetic and 50 had diabetes and hypertension. Patients who had an established renal disease were excluded from study.Results: Our study of 100 patients, 18-60 years of age, had 23 male and 77 female patients. Maximum patients were in age group 41-50 years, and 52% had diabetes of 2-4 years duration. Of the renal parameters studied, BUN was normal in 72% and S. Creatinine normal in 67%. UACR was normal in only 38%, and e-GFR was normal in 49%.Conclusions: In our study age and sex, duration of Diabetes and HbA1c did not have any bearing on renal parameters. UACR followed by e-GFR, were deranged early. UACR was more deranged in diabetics with hypertension. 


Author(s):  
Kadriye Akpınar ◽  
Diler Aslan ◽  
Semin Melahat Fenkçi

Abstract Introduction: GFR is estimated by using creatinine and cystatin C to determine renal dysfunction. Our aim was to evaluate estimated GFR (eGFR) based on cystatin C in type 2 diabetic patients with diabetic nephropathy (DN). Methods: Study group included 52 controls (46% male, age: 54.5±12.4) and 101 diabetic patients (46.5% male, age: 58.2±11). The diabetics were divided into three subgroups according to 24-hour urine albumin: normal to mildly increased (A1) (n=51), moderately increased (A2) (n=25), severely increased (A3) (n=25) albuminuria. Creatinine clearance (CrCl) was determined. Correlations between CrCl and eGFRs estimated according to the CKD-EPI, MDRD, and Cockcroft-Gault (CG) formulas, and ROC curves were evaluated. Data were analyzed using SPSS 22.0. Results: Only CKD-EPI-cys eGFR was significantly lower in the A1 group than the controls (p=0.021). All GFRs were lower in the A3 group than the control (CKD-EPI-cr, MDRD, CKD-EPI-cys, CKD-EPI-cr-cys: p=0.0001, CG and CrCl: p=0.001) and A1 (for all GFRs p=0.0001) groups. CKD-EPI-cr (p=0.004), MDRD (p=0.01), CG (p=0.037), CKD-EPI-cys (p=0.033), and CKD-EPI-cr-cys (p=0.016) eGFRs in the A2 group were significantly different from the A1 group. All eGFRs showed a moderate correlation with CrCl in the A1group (CKD-EPI-cr and CKD-EPI-cr-cys: r=0.49, p=0.0001, MDRD: r=0.44, p=0.001, CG r=0.48, p=0.0001: CKD-EPI-cys r=0.40, p=0.004). The area under the CKD-EPI-cys ROC curve was the highest and found to be 0.847 (95%CI 0.763-0.931, p=0.0001). Conclusions: Our results showed that the CKD-EPI-cys eGFR can be useful in detecting the early stage of DN and more predictive than the others for prediction of DN.


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