Background: Chronic kidney disease (CKD) in diabetes is associated with an increased risk of premature mortality, kidney failure and cardiovascular disease. No studies are available on the prevalence of CKD among diabetics in Ethiopia. The aim of this study was to determine the prevalence of CKD and its associated risk factors among diabetic adults attending Butajira hospital of Southern Ethiopia based on estimated glomerular filtration rate (GFR). Methods: A facility based cross sectional study was conducted in Butajira hospital, southern Ethiopia among 214 randomly selected diabetic adults. Demographic, clinical, and laboratory data were collected from September 1, 2013 to October 31, 2013. The simplified Modification of Diet in Renal Disease (MDRD) and Cockroft-Gault (CG) equations were used to estimate GFR (eGFR) from serum creatinine value. SPSS 20.0 Software was used for data analysis. Results: 39 (18.2%) and 51 (23.8%) of the study participants were found to have CKD, as defined by eGFR < 60 ml/min/1.73 m2, according to the MDRD and Cockroft-Gault equations, respectively. Of these; 17.3 and 22.9% have stage 3 CKD, and 0.9% have stage 4 CKD, respectively. Significant risk factors for CKD in the study subjects when using either the MDRD or C-G equation were older age, longer duration of diabetes, family history of kidney disease, and poor glucose control (P < 0.05). Additionally, female sex (P < 0.008) and obesity (P < 0.038) were independent risk factors for CKD when defined by the MDRD, and type 2 diabetes was when defined by C–G (P < 0.03). Conclusion: CKD was present in not less than 18.2% diabetic adults attending the follow up clinic at Butajira hospital, in southern Ethiopia. Risk factors for CKD were similar to those reported in developed country studies. Using the MDRD equation led to a lower prevalence of CKD and a better risk categorization than did by C-G equation, thus contributing to better management of clinical outcomes in diabetic care.
Published in | American Journal of Health Research (Volume 2, Issue 4) |
DOI | 10.11648/j.ajhr.20140204.28 |
Page(s) | 216-221 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Chronic Kidney Disease, Diabetes, Risk Factors, Estimated Glomerular Filtration Rate
[1] | Levey AS, Eckardt KU, Tsukamoto Y, Levin A, Coresch J, Rossert J. Definition and classification of chronic kidney disease:a position statement from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int. 2005;67(6):2089–100. |
[2] | Wali RK. Aspirin and the prevention of cardiovascular disease in chronic kidney disease: time to move forward? J Am Coll Cardiol. 2010;56:966–8. |
[3] | National Kidney Foundation. K/DOQI Clinical Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification, and Stratification. Ann Intern Med. 2002;39(2):S1–266. |
[4] | International Diabetes Federation. Diabetes at a glance,2012 ;IDF Diabetes Atlas,5th ed. International Diabetes Federation, Brussels; 2012. |
[5] | Atkins RC, Zimmet P. World Kidney Day 2010: Diabetic Kidney Disease—Act Now or Pay Later. Am J Kidney Dis. 2010 Feb;55(2):205–8. |
[6] | Ninomiya T, Perkovic V, de Galan, Zoungas S, Pillai A, Jardine M, et al. Albuminuria and kidney function independently predict cardiovascular and renal outcomes in diabetes. J Am Soc Nephrol. 2009;20:1813–21. |
[7] | Go AS, Chertow GM, Fan D, McCulloch CE, Hsu C. Chronic Kidney Disease and the Risks of Death, Cardiovascular Events, and Hospitalization. N Engl J Med. 2004;351(13):1296–305. |
[8] | McGovern AP, Rusholme B, Jones S, Vlymen JN van, Liyanage H, Gallagher H, et al. Association of chronic kidney disease (CKD) and failure to monitor renal function with adverse outcomes in people with diabetes: a primary care cohort study. BMC Nephrol. 2013;14:198. |
[9] | National Kidney Foundation. KDOQI Clinical Practice Guidelines and Clinical Practice Recommendations for Diabetes and Chronic Kidney Disease. Am J Kidney Dis. 2012 Feb;49(2):S12–S154. |
[10] | Grandfils N, Detournay B, Attali C, Joly D, Simon D, Vergès B, et al. Glucose Lowering Therapeutic Strategies for Type 2 Diabetic Patients with Chronic Kidney Disease in Primary Care Setting in France: A Cross-Sectional Study. Int J Endocrinol [Internet]. 2013; Available from: http://dx.doi.org/10.1155/2013/640632 |
[11] | Yadav SCB. Glycemic control in diabetic kidney disease patients. Clin Queries Nephrol. 2012 Apr;1(2):111–4. |
[12] | American Diabetes Association. Standards of medical care in diabetes - 2011. Diabetes Care. 2011;34(Supp 1):S11–S61. |
[13] | Manns B, Hemmelgarn B, Tonelli M, Flora Au, Chiasson TC, Dong J, et al. Population based screening for chronic kidney disease: cost effectiveness study. BMJ. 2010;34:c5869. |
[14] | Levey A, Greene T, Kusek J, Beck G. A simplified equation to predict glomerular filtration rate from serum creatinine. J Am Soc Nephrol. 2000;11:A0828. |
[15] | Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16:31–41. |
[16] | KDIGO conference proposes changes to CKD classification, but not to the definition. Nephrol. 2009;2(12):9–10. |
[17] | Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS. Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. Am J Kidney Dis. 2003;41:1–12. |
[18] | New JP, Middleton RJ, Klebe B, Farmer CKT, De Lusignan S, Stevens PE, et al. Assessing the prevalence, monitoring and management of chronic kidney disease in patients with diabetes compared with those without diabetes in general practice. Diabet Med. 2007;24(4):364–9. |
[19] | Middleton RJ, Foley RN, Hegarty J, Cheung CM, McElduff P, Gibson JM, et al. The unrecognized prevalence of chronic kidney disease in diabetes. Nephrol Dial Transplant. 2006;21(1):88–92. |
[20] | Ohta M, Babazono T, Uchigata Y, Iwamoto Y. Comparison of the prevalence of chronic kidney disease in Japanese patients with Type 1 and Type 2 diabetes. Diabet Med. 2010;27(9):1017–23. |
[21] | Janmohamed MN, Kalluvya SE, Mueller A, Kabangila R, Smart LR, Downs JA, et al. Prevalence of chronic kidney disease in diabetic adult out-patients in Tanzania. BMC Nephrol. 2013;14(183). |
[22] | Afghahi H, Cederholm J, Eliasson B, Zethelius B, Gudbjörnsdottir S, Hadimeri H, et al. Risk factors for the development of albuminuria and renal impairment in type 2 diabetes—the Swedish National Diabetes Register (NDR). Nephrol Dial Transpl. 2011;26:1236–43. |
[23] | Retnakaran R, Cull CA, Thorne KI, Adler AI, Holman RR. Risk Factors for Renal Dysfunction in Type 2 Diabetes U.K. Prospective Diabetes Study 74. Diabetes. 2006;55(6):1832–9. |
[24] | Garg AX, Kiberd BA, Clark WF, Haynes RB, Clase CM. Albuminuria and renal insufficiency prevalence guides population screening: results from the NHANES III. Kidney Int. 2002;61:2165–75. |
[25] | Jesudason, P Clifton. Interpreting different measures of glomerular filtration rate in obesity and weight loss: pitfalls for the clinician. Int J Obes. 2012;36:1421 – 1427. |
APA Style
Temesgen Fiseha, Mehidi Kassim, Tilahun Yemane. (2014). Prevalence of Chronic Kidney Disease and Associated Risk Factors among Diabetic Patients in Southern Ethiopia. American Journal of Health Research, 2(4), 216-221. https://doi.org/10.11648/j.ajhr.20140204.28
ACS Style
Temesgen Fiseha; Mehidi Kassim; Tilahun Yemane. Prevalence of Chronic Kidney Disease and Associated Risk Factors among Diabetic Patients in Southern Ethiopia. Am. J. Health Res. 2014, 2(4), 216-221. doi: 10.11648/j.ajhr.20140204.28
AMA Style
Temesgen Fiseha, Mehidi Kassim, Tilahun Yemane. Prevalence of Chronic Kidney Disease and Associated Risk Factors among Diabetic Patients in Southern Ethiopia. Am J Health Res. 2014;2(4):216-221. doi: 10.11648/j.ajhr.20140204.28
@article{10.11648/j.ajhr.20140204.28, author = {Temesgen Fiseha and Mehidi Kassim and Tilahun Yemane}, title = {Prevalence of Chronic Kidney Disease and Associated Risk Factors among Diabetic Patients in Southern Ethiopia}, journal = {American Journal of Health Research}, volume = {2}, number = {4}, pages = {216-221}, doi = {10.11648/j.ajhr.20140204.28}, url = {https://doi.org/10.11648/j.ajhr.20140204.28}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajhr.20140204.28}, abstract = {Background: Chronic kidney disease (CKD) in diabetes is associated with an increased risk of premature mortality, kidney failure and cardiovascular disease. No studies are available on the prevalence of CKD among diabetics in Ethiopia. The aim of this study was to determine the prevalence of CKD and its associated risk factors among diabetic adults attending Butajira hospital of Southern Ethiopia based on estimated glomerular filtration rate (GFR). Methods: A facility based cross sectional study was conducted in Butajira hospital, southern Ethiopia among 214 randomly selected diabetic adults. Demographic, clinical, and laboratory data were collected from September 1, 2013 to October 31, 2013. The simplified Modification of Diet in Renal Disease (MDRD) and Cockroft-Gault (CG) equations were used to estimate GFR (eGFR) from serum creatinine value. SPSS 20.0 Software was used for data analysis. Results: 39 (18.2%) and 51 (23.8%) of the study participants were found to have CKD, as defined by eGFR < 60 ml/min/1.73 m2, according to the MDRD and Cockroft-Gault equations, respectively. Of these; 17.3 and 22.9% have stage 3 CKD, and 0.9% have stage 4 CKD, respectively. Significant risk factors for CKD in the study subjects when using either the MDRD or C-G equation were older age, longer duration of diabetes, family history of kidney disease, and poor glucose control (P < 0.05). Additionally, female sex (P < 0.008) and obesity (P < 0.038) were independent risk factors for CKD when defined by the MDRD, and type 2 diabetes was when defined by C–G (P < 0.03). Conclusion: CKD was present in not less than 18.2% diabetic adults attending the follow up clinic at Butajira hospital, in southern Ethiopia. Risk factors for CKD were similar to those reported in developed country studies. Using the MDRD equation led to a lower prevalence of CKD and a better risk categorization than did by C-G equation, thus contributing to better management of clinical outcomes in diabetic care.}, year = {2014} }
TY - JOUR T1 - Prevalence of Chronic Kidney Disease and Associated Risk Factors among Diabetic Patients in Southern Ethiopia AU - Temesgen Fiseha AU - Mehidi Kassim AU - Tilahun Yemane Y1 - 2014/08/30 PY - 2014 N1 - https://doi.org/10.11648/j.ajhr.20140204.28 DO - 10.11648/j.ajhr.20140204.28 T2 - American Journal of Health Research JF - American Journal of Health Research JO - American Journal of Health Research SP - 216 EP - 221 PB - Science Publishing Group SN - 2330-8796 UR - https://doi.org/10.11648/j.ajhr.20140204.28 AB - Background: Chronic kidney disease (CKD) in diabetes is associated with an increased risk of premature mortality, kidney failure and cardiovascular disease. No studies are available on the prevalence of CKD among diabetics in Ethiopia. The aim of this study was to determine the prevalence of CKD and its associated risk factors among diabetic adults attending Butajira hospital of Southern Ethiopia based on estimated glomerular filtration rate (GFR). Methods: A facility based cross sectional study was conducted in Butajira hospital, southern Ethiopia among 214 randomly selected diabetic adults. Demographic, clinical, and laboratory data were collected from September 1, 2013 to October 31, 2013. The simplified Modification of Diet in Renal Disease (MDRD) and Cockroft-Gault (CG) equations were used to estimate GFR (eGFR) from serum creatinine value. SPSS 20.0 Software was used for data analysis. Results: 39 (18.2%) and 51 (23.8%) of the study participants were found to have CKD, as defined by eGFR < 60 ml/min/1.73 m2, according to the MDRD and Cockroft-Gault equations, respectively. Of these; 17.3 and 22.9% have stage 3 CKD, and 0.9% have stage 4 CKD, respectively. Significant risk factors for CKD in the study subjects when using either the MDRD or C-G equation were older age, longer duration of diabetes, family history of kidney disease, and poor glucose control (P < 0.05). Additionally, female sex (P < 0.008) and obesity (P < 0.038) were independent risk factors for CKD when defined by the MDRD, and type 2 diabetes was when defined by C–G (P < 0.03). Conclusion: CKD was present in not less than 18.2% diabetic adults attending the follow up clinic at Butajira hospital, in southern Ethiopia. Risk factors for CKD were similar to those reported in developed country studies. Using the MDRD equation led to a lower prevalence of CKD and a better risk categorization than did by C-G equation, thus contributing to better management of clinical outcomes in diabetic care. VL - 2 IS - 4 ER -