scholarly journals Prevalence and Associated Factors of Diabetic Kidney Disease in Senegalese Patients: A Cross-Sectional Study in Saint-Louis

2020 ◽  
Vol 10 (01) ◽  
pp. 23-33
Author(s):  
Sidy Mohamed Seck ◽  
Dominique Doupa ◽  
Seraphin Ahou ◽  
Serigne Gueye ◽  
Macia Engerran ◽  
...  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Randa I. Farah ◽  
Mohammed Q. Al-Sabbagh ◽  
Munther S. Momani ◽  
Asma Albtoosh ◽  
Majd Arabiat ◽  
...  

Abstract Aim Diabetic kidney disease (DKD) is a major long-term complication of diabetes mellitus (DM). Given the paucity of data on DKD in Jordan, we aimed to evaluate the prevalence, characteristics and correlates of DKD in Jordanian patients with type 2 DM. Methods This cross-sectional study included 1398 adult patients with type 2 DM who sought medical advice in the endocrinology clinic between March and September 2019. Demographic, clinical and laboratory data were reviewed. DKD was defined as reduced eGFR, and/or albuminuria. Three regression models were constructed to identify factors associated with CKD stages, albuminuria and DKD. Results Overall, 701 (50.14%) patients had DKD, with a median age of 59.71 ± 11.36  years. Older age, high triglycerides, and low high-density lipoprotein were associated with DKD (multivariable odds ratio [OR]: 1.02, 95% confidence interval [CI]: 1.01–1.03, p < 0.01; OR: 1.1, 95% CI: 1.01–1.2; and OR: 0.98, 95% CI: 0.97–0.99, p < 0.01 respectively). Metformin and renin-angiotensin system blockers were negatively associated with albuminuria and chronic kidney disease stages (p < 0.01). Conclusion Our study demonstrated that approximately one half of patients with type 2 DM had DKD. Further studies are necessary to understand this high prevalence and the underlying factors. Future research are needed to assess implementing targeted community-based intervention.


PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0129797 ◽  
Author(s):  
Dandan Yan ◽  
Yinfang Tu ◽  
Feng Jiang ◽  
Jie Wang ◽  
Rong Zhang ◽  
...  

2017 ◽  
Vol 32 (suppl_3) ◽  
pp. iii233-iii233
Author(s):  
Flaviu Bob ◽  
Adalbert Schiller ◽  
Romulus Timar ◽  
Daniel Lighezan ◽  
Oana Schiller ◽  
...  

Author(s):  
Erica Catarina ◽  
Coriejati Rita ◽  
Basti Andriyoko ◽  
Ida Parwati

Hematuria can be found in diabetic kidney disease. Urinary erythrocytes morphology can differentiate hematuria in diabetic kidney disease from other glomerular disorders. Different etiologies need different management. Urinalysis with flowcytometry method can directly give information about urine erythrocyte morphology which is not obtained by the conventional method. The aim of this study was to determine the proportion of urinary isomorphic erythrocytes in diabetic kidney disease. This was a descriptive cross-sectional study in the Dr. Hasan Sadikin Hospital Bandung from July 2016 to July 2017. Subjects were 38 patients who have been diagnosed as diabetic kidney disease by clinicians and had hematuria. Random urine samples were collected for erythrocytes morphology assay by using flowcytometry method and u-ACR values by using spectrophotometry method. The result of this study was 57.9% male, with the most frequent age were 55-64 years old group (34.2%) and 63.2% from all subject were included in the macroalbuminuria category. In erythrocyte morphology assay, 84.2% was isomorphic erythrocyte which 83.3% was macroalbuminuria group. The proportion of hematuria in diabetic kidney disease with automated integrated urine flowcytometry method was dominated by isomorphic erythrocyte morphology. Isomorphic erythrocytes in DM did not mean absence of glomerular abnormalities.


1970 ◽  
Vol 29 (1) ◽  
Author(s):  
Molla Abebe ◽  
Tiruneh Adane ◽  
Kassa Kefyalew ◽  
Tesfahun Munduno ◽  
Alebachew Fasil ◽  
...  

BACKGROUND: Diabetic kidney disease is a common and severe microvascular complication of diabetes mellitus (DM). There are limited data regarding alteration of urine parameters other than proteinuria among DM patients.METHODS: Institution based cross-sectional study was conducted from February to May 2017 to assess alteration of urine parameters among DM patients at the University of Gondar Hospital, Northwest Ethiopia. A Systematic random sampling technique was used to recruit adult (≥18 years) diabetic participants. Data were collected after ethical requirements had been fulfilled. The degree of association between variables was evaluated through bivariable and multivariable logistic regression models.RESULTS: The majority (69.4%) of the study participants were type 2 DM patients. The prevalence of altered urine chemical parameters was 11.3% proteinuria, 4.5% ketonuria, 13.6% hematuria, 53.8% glucosuria, 24.9% leukocyturia and 1.7% positive for nitrite. Diastolic blood pressure and poor glycemic control were significantly associated with proteinuria. Male participants were 2.4 times more likely to have leukocyturia than female participants. The prevalence of abnormally increased microscopic findings was red blood cells 3.1%, white blood cells 12.5%, epithelial cells 27.5%, yeast cells 1.7%, bacteria 17.8%, casts 3.7% and crystals 29.2%.CONCLUSIONS: The prevalence of altered urine parameters among DM patients is found to be considerable. These increased prevalences of altered urine parameters are potential indicators for diabetic kidney disease. 


2019 ◽  
Author(s):  
Hailemariam Adera ◽  
Workagegnehu Hailu ◽  
Ayineshet Adane ◽  
abilo tadesse

Abstract Background chronic kidney disease (CKD) is a global public health problem associated with progressive decline in kidney function and adverse cardiovascular outcome. Anemia in CKD has substantial adverse outcomes in CKD patients. There is paucity of published data on prevalence of anemia and its associated factors among CKD patients in Northwest Ethiopia. Objective This study aimed to determine the prevalence of anemia and its associated factors among CKD patients at University of Gondar hospital, Northwest Ethiopia. Methods A hospital-based cross-sectional study was conducted from May1, to September 30, 2018. Consecutive sampling was used to recruit 251 study subjects. Data regarding patient’s socio-demographics, clinical characteristics and laboratory parameters were collected from patients’ interview and medical records. Data was analyzed using SPSS version 20. Bi-variate and multi-variate logistic regression analyses were used to identify predictors of anemia in CKD patients. P<0.05 was used to declare association. Results The prevalence of anemia was high (64.5%), and tended to increase as eGFR declined. Hypertension (45%), chronic glomerulonephritis (24%) and diabetes (20%) were common causes of CKD. Multivariate logistic regression analysis revealed rural residence (AOR= 2.75, 95% CI: 1.34-5.65, p=0.006), BMI<18.5 kg/m2 (AOR=6.78, 95% CI: 1.32-34.73, p=0.022) and BMI of 18.5-24.9 kg/m2 (AOR=5.04, 95% CI: 1.26-20.10, p=0.022), and having hemodialysis history (AOR=3.59, 95% CI: 1.24-10.38, p=0.018) were predictors of anemia in CKD patients. Conclusion Prevalence of anemia in CKD patients was high (64.5%). Rural residence, non-obese body habitus and having hemodialysis history were found to be predictors of anemia in CKD patients. Periodic screening and intervention for anemia in CKD patients should be practiced to prevent its sequelae.


2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Thamil Arasu Saminathan ◽  
Lai Seong Hooi ◽  
Muhammad Fadhli Mohd Yusoff ◽  
Loke Meng Ong ◽  
Sunita Bavanandan ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document