Prevalence and Risk Factors of Chronic Kidney Disease among Type 2 Diabetes Patients: A Cross-Sectional Study in Primary Care Practice

Janjira Jitraknatee, Chidchanok Ruengorn, Surapon Nochaiwong, Janjira Jitraknatee, Chidchanok Ruengorn, Surapon Nochaiwong

Abstract

This cross-sectional study aimed to investigate the prevalence and risk factors of chronic kidney disease (CKD) among 1,096 primary care type 2 diabetes (T2DM) patients in northern Thailand between October 2016 and September 2017. CKD was defined as estimated glomerular rate filtration values of <60 mL/min/1.73 m2. Prevalence with confidence intervals across CKD advanced stages 3-5 were estimated. Factors associated with CKD were evaluated by multivariate logistic regression. The overall prevalence of CKD was 24.4% (21.9-27.0), with severities of 11.4% (9.7-13.4), 6.8% (5.5-8.5), 4.6% (3.5-6.0), and 1.6% (1.0-2.5) for stages 3 A, 3B, 4, and 5, respectively. Regarding age and glycaemic control, individuals older than 75 years and those with a haemoglobin A1c ≥ 8% had the highest prevalence of 61.3% (51.7-70.1) and 38.6% (34.3-43.2), respectively. The multivariable logistic regression model explained 87.3% of the probability of CKD. The six independent significant risk factors of CKD were older age, retinopathy, albuminuria, haemoglobin A1c ≥ 7%, anaemia, and uric acid>7.5 mg/dL. A relatively high prevalence of CKD, especially in older patients and those with diabetic complications-related to poor glycaemic control, was encountered in this primary care practice. Early identification may help to target optimise care and prevention programs for CKD among T2DM patients.

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Age, sex and glycaemic control adjusted prevalence rates of CKD in patients with T2DM. Abbreviations: CI, confidence interval; CKD, chronic kidney disease; HbA1c, haemoglobin A1c; T2DM, type 2 diabetes mellitus.
Figure 2
Figure 2
The AuROC curve and 95%CI of the risk factors of CKD in patients with T2DM. Abbreviations: AuROC, area under the receiver operating characteristic; CI, confidence interval; CKD, chronic kidney disease; T2DM, type 2 diabetes mellitus.

References

    1. International Diabetes Federation. IDF Diabetes Atlas. 7th edn, (2015).
    1. Zheng Y, Ley SH, Hu FB. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nat Rev Endocrinol. 2018;14:88–98. doi: 10.1038/nrendo.2017.151.
    1. Chatterjee S, Khunti K, Davies MJ. Type 2 diabetes. Lancet. 2017;389:2239–2251. doi: 10.1016/S0140-6736(17)30058-2.
    1. Lascar N, et al. Type 2 diabetes in adolescents and young adults. Lancet Diabetes Endocrinol. 2018;6:69–80. doi: 10.1016/S2213-8587(17)30186-9.
    1. Popkin BM. Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases. Am J Clin Nutr. 2006;84:289–298. doi: 10.1093/ajcn/84.2.289.
    1. Ellam T, Twohig H, Khwaja A. Chronic kidney disease in elderly people: disease or disease label? BMJ. 2016;352:h6559. doi: 10.1136/bmj.h6559.
    1. Gregg EW, et al. Changes in diabetes-related complications in the United States, 1990-2010. N Engl J Med. 2014;370:1514–1523. doi: 10.1056/NEJMoa1310799.
    1. van Dieren S, Beulens JW, van der Schouw YT, Grobbee DE, Neal B. The global burden of diabetes and its complications: an emerging pandemic. Eur J Cardiovasc Prev Rehabil. 2010;17(Suppl 1):S3–8.
    1. Tuttle KR, et al. Diabetic kidney disease: a report from an ADA Consensus Conference. Diabetes Care. 2014;37:2864–2883. doi: 10.2337/dc14-1296.
    1. Saran R, et al. US Renal Data System 2018 Annual Data Report: Epidemiology of Kidney Disease in the United States: Volume 2 - Chapter 1: Incidence, Prevalence, Patient Characteristics, and Treatment Modalities. Am J Kidney Dis. 2019;73:S291–S332. doi: 10.1053/j.ajkd.2019.01.001.
    1. Saran R, et al. US Renal Data System 2018 Annual Data Report: Epidemiology of Kidney Disease in the United States: Volume 1 - Chapter 1: CKD in the General Population. Am J Kidney Dis. 2019;73:S1–S28. doi: 10.1053/j.ajkd.2019.01.001.
    1. Kong AP, et al. Diabetes and its comorbidities–where East meets West. Nat Rev Endocrinol. 2013;9:537–547. doi: 10.1038/nrendo.2013.102.
    1. Zimmet PZ, Magliano DJ, Herman WH, Shaw JE. Diabetes: a 21st century challenge. Lancet Diabetes Endocrinol. 2014;2:56–64. doi: 10.1016/S2213-8587(13)70112-8.
    1. World Health Organization. Global report on diabetes: executive summary. World Health Organization, (2016).
    1. Mayer-Davis EJ, et al. Incidence Trends of Type 1 and Type 2 Diabetes among Youths, 2002-2012. N Engl J Med. 2017;376:1419–1429. doi: 10.1056/NEJMoa1610187.
    1. Inoue Y, et al. The association between urbanization and reduced renal function: findings from the China Health and Nutrition Survey. BMC Nephrol. 2017;18:160. doi: 10.1186/s12882-017-0577-7.
    1. Kittiskulnam P, et al. The magnitude of obesity and metabolic syndrome among diabetic chronic kidney disease population: A nationwide study. PLoS One. 2018;13:e0196332. doi: 10.1371/journal.pone.0196332.
    1. Krairittichai U, Potisat S, Jongsareejit A, Sattaputh C. Prevalence and risk factors of diabetic nephropathy among Thai patients with type 2 diabetes mellitus. J Med Assoc Thai. 2011;94(Suppl 2):S1–5.
    1. Zaman SB, Karim MA, Hossain N, Al Kibria GM, Islam SMS. Plasma triglycerides as a risk factor for chronic kidney disease in type 2 diabetes mellitus: Evidence from northeastern Thailand. Diabetes Res Clin Pract. 2018;138:238–245. doi: 10.1016/j.diabres.2018.02.011.
    1. Narenpitak S, Narenpitak A. Prevalence of chronic kidney disease in type 2 diabetes in primary health care unit of Udon Thani province, Thailand. J Med Assoc Thai. 2008;91:1505–1513.
    1. Bello AK, et al. Assessment of Global Kidney Health Care Status. JAMA. 2017;317:1864–1881. doi: 10.1001/jama.2017.4046.
    1. Pecoits-Filho R, et al. Prescription of renin-angiotensin-aldosterone system inhibitors (RAASi) and its determinants in patients with advanced CKD under nephrologist care. J Clin Hypertens (Greenwich). 2019;21:991–1001. doi: 10.1111/jch.13563.
    1. Ibrahim SL, Jiroutek MR, Holland MA, Sutton BS. Utilization of angiotensin converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB) in patients diagnosed with diabetes: Analysis from the National Ambulatory Medical Care Survey. Prev Med Rep. 2016;3:166–170. doi: 10.1016/j.pmedr.2016.01.005.
    1. Rosen, A. B. Indications for and utilization of ACE inhibitors in older individuals with diabetes. Findings from the National Health and Nutrition Examination Survey 1999 to 2002. J Gen Intern Med. 21, 315-319 (2006).
    1. Afkarian M, et al. Clinical Manifestations of Kidney Disease Among US Adults With Diabetes, 1988-2014. JAMA. 2016;316:602–610. doi: 10.1001/jama.2016.10924.
    1. Reutrakul S, Deerochanawong C. Diabetes in Thailand: Status and Policy. Curr Diab Rep. 2016;16:28. doi: 10.1007/s11892-016-0725-7.
    1. Wanner C, et al. Empagliflozin and Progression of Kidney Disease in Type 2 Diabetes. N Engl J Med. 2016;375:323–334. doi: 10.1056/NEJMoa1515920.
    1. Neal B, et al. Canagliflozin and Cardiovascular and Renal Events in Type 2 Diabetes. N Engl J Med. 2017;377:644–657. doi: 10.1056/NEJMoa1611925.
    1. Mann JFE, et al. Liraglutide and Renal Outcomes in Type 2 Diabetes. N Engl J Med. 2017;377:839–848. doi: 10.1056/NEJMoa1616011.
    1. Perkovic V, et al. Canagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy. N Engl J Med. 2019;380:2295–2306. doi: 10.1056/NEJMoa1811744.
    1. Kaewput W, et al. Temporal trends in optimal diabetic care and complications of elderly type 2 diabetes patients in Thailand: A nationwide study. J Evid Based Med. 2019;12:22–28. doi: 10.1111/jebm.12318.
    1. GBD Chronic Kidney Disease Collaboration. Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2020;395:709–733. doi: 10.1016/S0140-6736(20)30045-3.
    1. Yang L, et al. Risk factors of chronic kidney diseases in Chinese adults with type 2 diabetes. Sci Rep. 2018;8:14686. doi: 10.1038/s41598-018-32983-1.
    1. Hill CJ, et al. Chronic kidney disease and diabetes in the national health service: a cross-sectional survey of the U.K. national diabetes audit. Diabet Med. 2014;31:448–454. doi: 10.1111/dme.12312.
    1. Bailey RA, Wang Y, Zhu V, Rupnow MF. Chronic kidney disease in US adults with type 2 diabetes: an updated national estimate of prevalence based on Kidney Disease: Improving Global Outcomes (KDIGO) staging. BMC Res Notes. 2014;7:415. doi: 10.1186/1756-0500-7-415.
    1. Pugliese G, et al. Distribution of cardiovascular disease and retinopathy in patients with type 2 diabetes according to different classification systems for chronic kidney disease: a cross-sectional analysis of the renal insufficiency and cardiovascular events (RIACE) Italian multicenter study. Cardiovasc Diabetol. 2014;13:59. doi: 10.1186/1475-2840-13-59.
    1. Russo GT, et al. Diabetic kidney disease in the elderly: prevalence and clinical correlates. BMC Geriatr. 2018;18:38. doi: 10.1186/s12877-018-0732-4.
    1. Wagnew F, et al. Diabetic nephropathy and hypertension in diabetes patients of sub-Saharan countries: a systematic review and meta-analysis. BMC Res Notes. 2018;11:565. doi: 10.1186/s13104-018-3670-5.
    1. Al-Rubeaan K, et al. Diabetic nephropathy and its risk factors in a society with a type 2 diabetes epidemic: a Saudi National Diabetes Registry-based study. PLoS One. 2014;9:e88956. doi: 10.1371/journal.pone.0088956.
    1. Lu B, et al. High prevalence of chronic kidney disease in population-based patients diagnosed with type 2 diabetes in downtown Shanghai. J Diabetes Complications. 2008;22:96–103. doi: 10.1016/j.jdiacomp.2007.08.001.
    1. Wu B, et al. Understanding CKD among patients with T2DM: prevalence, temporal trends, and treatment patterns-NHANES 2007-2012. BMJ Open Diabetes Res Care. 2016;4:e000154. doi: 10.1136/bmjdrc-2015-000154.
    1. Guo K, et al. Prevalence of chronic kidney disease and associated factors in Chinese individuals with type 2 diabetes: Cross-sectional study. J Diabetes Complications. 2016;30:803–810. doi: 10.1016/j.jdiacomp.2016.03.020.
    1. Rodriguez-Poncelas A, et al. Prevalence of chronic kidney disease in patients with type 2 diabetes in Spain: PERCEDIME2 study. BMC Nephrol. 2013;14:46. doi: 10.1186/1471-2369-14-46.
    1. Yang CW, et al. Prevalence of diabetic nephropathy in primary care type 2 diabetic patients with hypertension: data from the Korean Epidemiology Study on Hypertension III (KEY III study) Nephrol Dial Transplant. 2011;26:3249–3255. doi: 10.1093/ndt/gfr011.
    1. Dyck RF, Hayward MN, Harris SB. Prevalence, determinants and co-morbidities of chronic kidney disease among First Nations adults with diabetes: results from the CIRCLE study. BMC Nephrol. 2012;13:57. doi: 10.1186/1471-2369-13-57.
    1. Szczech LA, et al. Primary care detection of chronic kidney disease in adults with type-2 diabetes: the ADD-CKD Study (awareness, detection and drug therapy in type 2 diabetes and chronic kidney disease) PLoS One. 2014;9:e110535. doi: 10.1371/journal.pone.0110535.
    1. Bramlage P, et al. Patient and disease characteristics of type-2 diabetes patients with or without chronic kidney disease: an analysis of the German DPV and DIVE databases. Cardiovasc Diabetol. 2019;18:33. doi: 10.1186/s12933-019-0837-x.
    1. Hunsicker LG, et al. Predictors of the progression of renal disease in the Modification of Diet in Renal Disease Study. Kidney Int. 1997;51:1908–1919. doi: 10.1038/ki.1997.260.
    1. Weinstein JR, Anderson S. The aging kidney: physiological changes. Adv Chronic Kidney Dis. 2010;17:302–307. doi: 10.1053/j.ackd.2010.05.002.
    1. Glassock RJ, Rule AD. The implications of anatomical and functional changes of the aging kidney: with an emphasis on the glomeruli. Kidney Int. 2012;82:270–277. doi: 10.1038/ki.2012.65.
    1. New JP, et al. The high prevalence of unrecognized anaemia in patients with diabetes and chronic kidney disease: a population-based study. Diabet Med. 2008;25:564–569. doi: 10.1111/j.1464-5491.2008.02424.x.
    1. De Cosmo S, et al. Serum Uric Acid and Risk of CKD in Type 2 Diabetes. Clin J Am Soc Nephrol. 2015;10:1921–1929. doi: 10.2215/CJN.03140315.
    1. Zoppini G, et al. Serum uric acid levels and incident chronic kidney disease in patients with type 2 diabetes and preserved kidney function. Diabetes Care. 2012;35:99–104. doi: 10.2337/dc11-1346.
    1. Pilemann-Lyberg S, et al. Uric Acid Is an Independent Risk Factor for Decline in Kidney Function, Cardiovascular Events, and Mortality in Patients With Type 1 Diabetes. Diabetes Care. 2019;42:1088–1094. doi: 10.2337/dc18-2173.
    1. Yan D, et al. Uric Acid is independently associated with diabetic kidney disease: a cross-sectional study in a Chinese population. PLoS One. 2015;10:e0129797. doi: 10.1371/journal.pone.0129797.
    1. Kang DH, et al. A role for uric acid in the progression of renal disease. J Am Soc Nephrol. 2002;13:2888–2897. doi: 10.1097/01.ASN.0000034910.58454.FD.
    1. Sanchez-Lozada LG, et al. Mild hyperuricemia induces vasoconstriction and maintains glomerular hypertension in normal and remnant kidney rats. Kidney Int. 2005;67:237–247. doi: 10.1111/j.1523-1755.2005.00074.x.
    1. Ryu ES, et al. Uric acid-induced phenotypic transition of renal tubular cells as a novel mechanism of chronic kidney disease. Am J Physiol Renal Physiol. 2013;304:F471–480. doi: 10.1152/ajprenal.00560.2012.
    1. von Elm E, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370:1453–1457. doi: 10.1016/S0140-6736(07)61602-X.
    1. Levin A, et al. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl. 2013;3:1–150. doi: 10.1038/kisup.2012.73.
    1. Levey AS, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–612. doi: 10.7326/0003-4819-150-9-200905050-00006.
    1. Alicic RZ, Rooney MT, Tuttle KR. Diabetic Kidney Disease: Challenges, Progress, and Possibilities. Clin J Am Soc Nephrol. 2017;12:2032–2045. doi: 10.2215/CJN.11491116.
    1. Radcliffe NJ, et al. Clinical predictive factors in diabetic kidney disease progression. J Diabetes Investig. 2017;8:6–18. doi: 10.1111/jdi.12533.
    1. Hosmer, D. W. Lemeshow S. Applied logistic regression. New York. (2000).
    1. Stevens LA, et al. Evaluation of the Chronic Kidney Disease Epidemiology Collaboration equation for estimating the glomerular filtration rate in multiple ethnicities. Kidney Int. 2011;79:555–562. doi: 10.1038/ki.2010.462.
    1. Stevens LA, et al. Evaluation of the modification of diet in renal disease study equation in a large diverse population. J Am Soc Nephrol. 2007;18:2749–2757. doi: 10.1681/ASN.2007020199.
    1. Praditpornsilpa K, et al. The need for robust validation for MDRD-based glomerular filtration rate estimation in various CKD populations. Nephrol Dial Transplant. 2011;26:2780–2785. doi: 10.1093/ndt/gfq815.
    1. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–174. doi: 10.2307/2529310.
    1. Ruggenenti P, et al. Glomerular hyperfiltration and renal disease progression in type 2 diabetes. Diabetes Care. 2012;35:2061–2068. doi: 10.2337/dc11-2189.

Source: PubMed

3
Se inscrever