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Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus
Ying-Guat Ooi, Tharsini Sarvanandan, Nicholas Ken Yoong Hee, Quan-Hziung Lim, Sharmila S. Paramasivam, Jeyakantha Ratnasingam, Shireene R. Vethakkan, Soo-Kun Lim, Lee-Ling Lim
Diabetes Metab J. 2024;48(2):196-207.   Published online January 26, 2024
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
People with type 2 diabetes mellitus have increased risk of chronic kidney disease and atherosclerotic cardiovascular disease. Improved care delivery and implementation of guideline-directed medical therapy have contributed to the declining incidence of atherosclerotic cardiovascular disease in high-income countries. By contrast, the global incidence of chronic kidney disease and associated mortality is either plateaued or increased, leading to escalating direct and indirect medical costs. Given limited resources, better risk stratification approaches to identify people at risk of rapid progression to end-stage kidney disease can reduce therapeutic inertia, facilitate timely interventions and identify the need for early nephrologist referral. Among people with chronic kidney disease G3a and beyond, the kidney failure risk equations (KFRE) have been externally validated and outperformed other risk prediction models. The KFRE can also guide the timing of preparation for kidney replacement therapy with improved healthcare resources planning and may prevent multiple complications and premature mortality among people with chronic kidney disease with and without type 2 diabetes mellitus. The present review summarizes the evidence of KFRE to date and call for future research to validate and evaluate its impact on cardiovascular and mortality outcomes, as well as healthcare resource utilization in multiethnic populations and different healthcare settings.
Original Articles
Cardiovascular Risk/Epidemiology
Glycemic Control and Adverse Clinical Outcomes in Patients with Chronic Kidney Disease and Type 2 Diabetes Mellitus: Results from KNOW-CKD
Ga Young Heo, Hee Byung Koh, Hyung Woo Kim, Jung Tak Park, Tae-Hyun Yoo, Shin-Wook Kang, Jayoun Kim, Soo Wan Kim, Yeong Hoon Kim, Su Ah Sung, Kook-Hwan Oh, Seung Hyeok Han
Diabetes Metab J. 2023;47(4):535-546.   Published online April 25, 2023
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  • 162 Download
  • 2 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
The optimal level of glycosylated hemoglobin (HbA1c) to prevent adverse clinical outcomes is unknown in patients with chronic kidney disease (CKD) and type 2 diabetes mellitus (T2DM).
We analyzed 707 patients with CKD G1-G5 without kidney replacement therapy and T2DM from the KoreaN Cohort Study for Outcome in Patients With Chronic Kidney Disease (KNOW-CKD), a nationwide prospective cohort study. The main predictor was time-varying HbA1c level at each visit. The primary outcome was a composite of development of major adverse cardiovascular events (MACEs) or all-cause mortality. Secondary outcomes included the individual endpoint of MACEs, all-cause mortality, and CKD progression. CKD progression was defined as a ≥50% decline in the estimated glomerular filtration rate from baseline or the onset of end-stage kidney disease.
During a median follow-up of 4.8 years, the primary outcome occurred in 129 (18.2%) patients. In time-varying Cox model, the adjusted hazard ratios (aHRs) for the primary outcome were 1.59 (95% confidence interval [CI], 1.01 to 2.49) and 1.99 (95% CI, 1.24 to 3.19) for HbA1c levels of 7.0%–7.9% and ≥8.0%, respectively, compared with <7.0%. Additional analysis of baseline HbA1c levels yielded a similar graded association. In secondary outcome analyses, the aHRs for the corresponding HbA1c categories were 2.17 (95% CI, 1.20 to 3.95) and 2.26 (95% CI, 1.17 to 4.37) for MACE, and 1.36 (95% CI, 0.68 to 2.72) and 2.08 (95% CI, 1.06 to 4.05) for all-cause mortality. However, the risk of CKD progression did not differ between the three groups.
This study showed that higher HbA1c levels were associated with an increased risk of MACE and mortality in patients with CKD and T2DM.


Citations to this article as recorded by  
  • The Beneficial Effect of Glycemic Control against Adverse Outcomes in Patients with Type 2 Diabetes Mellitus and Chronic Kidney Disease
    Dong-Hwa Lee
    Diabetes & Metabolism Journal.2023; 47(4): 484.     CrossRef
  • Prevalence and predictors of chronic kidney disease among type 2 diabetic patients worldwide, systematic review and meta-analysis
    Eneyew Talie Fenta, Habitu Birhan Eshetu, Natnael Kebede, Eyob Ketema Bogale, Amare Zewdie, Tadele Derbew Kassie, Tadele Fentabil Anagaw, Elyas Melaku Mazengia, Sintayehu Shiferaw Gelaw
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Efficacy and safety of teneligliptin in patients with type 2 diabetes mellitus: a Bayesian network meta-analysis
    Miao Zhu, Ruifang Guan, Guo Ma
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
Cardiovascular Risk/Epidemiology
Performance of Diabetes and Kidney Disease Screening Scores in Contemporary United States and Korean Populations
Liela Meng, Keun-Sang Kwon, Dae Jung Kim, Yong-ho Lee, Jeehyoung Kim, Abhijit V. Kshirsagar, Heejung Bang
Diabetes Metab J. 2022;46(2):273-285.   Published online September 9, 2021
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  • 238 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Risk assessment tools have been actively studied, and they summarize key predictors with relative weights/importance for a disease. Currently, standardized screening scores for type 2 diabetes mellitus (DM) and chronic kidney disease (CKD)—two key global health problems—are available in United States and Korea. We aimed to compare and evaluate screening scores for DM (or combined with prediabetes) and CKD, and assess the risk in contemporary United States and Korean populations.
Four (2×2) models were evaluated in the United States-National Health and Nutrition Examination Survey (NHANES 2015–2018) and Korea-NHANES (2016–2018)—8,928 and 16,209 adults. Weighted statistics were used to describe population characteristics. We used logistic regression for predictors in the models to assess associations with study outcomes (undiagnosed DM and CKD) and diagnostic measures for temporal and cross-validation.
Korean adult population (mean age 47.5 years) appeared to be healthier than United States counterpart, in terms of DM and CKD risks and associated factors, with exceptions of undiagnosed DM, prediabetes and prehypertension. Models performed well in own country and external populations regarding predictor-outcome association and discrimination. Risk tests (high vs. low) showed area under the curve >0.75, sensitivity >84%, specificity >45%, positive predictive value >8%, and negative predictive value >99%. Discrimination was better for DM, compared to the combined outcome of DM and prediabetes, and excellent for CKD due to age.
Four easy-to-use screening scores for DM and CKD are well-validated in contemporary United States and Korean populations. Prevention of DM and CKD may serve as first-step in public health, with these self-assessment tools as basic tools to help health education and disparity.


Citations to this article as recorded by  
  • A meta‐analysis of diabetes risk prediction models applied to prediabetes screening
    Yujin Liu, Sunrui Yu, Wenming Feng, Hangfeng Mo, Yuting Hua, Mei Zhang, Zhichao Zhu, Xiaoping Zhang, Zhen Wu, Lanzhen Zheng, Xiaoqiu Wu, Jiantong Shen, Wei Qiu, Jianlin Lou
    Diabetes, Obesity and Metabolism.2024; 26(5): 1593.     CrossRef
  • Performance Analysis and Assessment of Type 2 Diabetes Screening Scores in Patients with Non-Alcoholic Fatty Liver Disease
    Norma Latif Fitriyani, Muhammad Syafrudin, Siti Maghfirotul Ulyah, Ganjar Alfian, Syifa Latif Qolbiyani, Chuan-Kai Yang, Jongtae Rhee, Muhammad Anshari
    Mathematics.2023; 11(10): 2266.     CrossRef
  • A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction
    Norma Latif Fitriyani, Muhammad Syafrudin, Siti Maghfirotul Ulyah, Ganjar Alfian, Syifa Latif Qolbiyani, Muhammad Anshari
    Mathematics.2022; 10(21): 4027.     CrossRef
High Incidence of Chronic Kidney Disease among Iranian Diabetic Adults: Using CKD-EPI and MDRD Equations for Estimated Glomerular Filtration Rate
Seyyed Saeed Moazzeni, Reyhane Hizomi Arani, Mitra Hasheminia, Maryam Tohidi, Fereidoun Azizi, Farzad Hadaegh
Diabetes Metab J. 2021;45(5):684-697.   Published online March 16, 2021
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  • 157 Download
  • 13 Web of Science
  • 15 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
To investigate the population based incidence rate of chronic kidney disease (CKD) and its potential risk factors among Iranian diabetic adults during over 14 years of follow-up.
Two different equations (Chronic Kidney Disease Epidemiology Collaboration [CKD-EPI] and Modification of Diet in Renal Disease [MDRD]) were applied for the calculating the estimated glomerular filtration rate (eGFR). Among a total of 1,374 diabetic Tehranian adults, 797 and 680 individuals were eligible for CKD-EPI and MDRD analyses, respectively. CKD was defined as eGFR lower than 60 mL/min/1.73 m2. Multivariable Cox proportional hazard models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CI) for all potential risk factors.
The incidence rates (95% CI) of CKD per 1,000 person-years were 43.84 (39.49 to 48.66) and 55.80 (50.29 to 61.91) based on CKD-EPI and MDRD equations, respectively. Being older, a history of cardiovascular disease, and having lower levels of eGFR were significant risk factors in both equations. Moreover, in CKD-EPI, using glucose-lowering medications and hypertension, and in MDRD, female sex and fasting plasma glucose ≥10 mmol/L were also independent risk factors. Regarding the discrimination index, CKD-EPI equation showed a higher range of C-index for the predicted probability of incident CKD in the full-adjusted model, compared to MDRD equation (0.75 [0.72 to 0.77] vs. 0.69 [0.66 to 0.72]).
We found an incidence rate of more than 4%/year for CKD development among our Iranian diabetic population. Compared to MDRD, it can be suggested that CKD-EPI equation can be a better choice to use for prediction models of incident CKD among the Iranian diabetic populations.


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    Journal of Religion and Health.2024;[Epub]     CrossRef
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    Reyhane Hizomi Arani, Farima Fakhri, Mohammad Naeimi Tabiee, Fatemeh Talebi, Zahra Talebi, Negin Rashidi, Maryam Zahedi
    BMC Endocrine Disorders.2023;[Epub]     CrossRef
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    International Urology and Nephrology.2022; 54(7): 1603.     CrossRef
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    Mousa Ghelichi-Ghojogh, Mohammad Fararouei, Mozhgan Seif, Maryam Pakfetrat
    BMC Nephrology.2022;[Epub]     CrossRef
  • Incidence and risk factors of severe non‐proliferative/proliferative diabetic retinopathy: More than a decade follow up in the Tehran Lipids and Glucose Study
    Mahsa Sardarinia, Samaneh Asgari, Reyhane Hizomi Arani, Fatemeh Eskandari, Fereidoun Azizi, Davood Khalili, Farzad Hadaegh
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    Chan-Young Jung, Tae-Hyun Yoo
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  • Prevalence of chronic kidney diseases and its determinants among Iranian adults: results of the first phase of Shahedieh cohort study
    Ali Dehghani, Sadegh Alishavandi, Nader Nourimajalan, Hossein Fallahzadeh, Vahid Rahmanian
    BMC Nephrology.2022;[Epub]     CrossRef
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    Zhenliang Fan, Qiaorui Yang, Zhuohan Xu, Ke Sun, Mengfan Yang, Riping Yin, Dongxue Zhao, Junfen Fan, Hongzhen Ma, Yiwei Shen, Hong Xia
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    Chan-Young Jung, Tae-Hyun Yoo
    Kidney Research and Clinical Practice.2022; 41(Suppl 2): S46.     CrossRef
  • Prevalence and Associated Factors of Kidney Dysfunction in Patients with Hypertension and/or Diabetes Mellitus from a Primary Care Population in Northwest China
    Mengyue Lin, Mulalibieke Heizhati, Lin Wang, Lin Gan, Mei Li, Wenbo Yang, Ling Yao, Zhongrong Wang, Zhikang Yang, Reyila Abudoyreyimu, Zihao Wu, Nanfang Li
    International Journal of General Medicine.2021; Volume 14: 7567.     CrossRef
Higher Prevalence and Progression Rate of Chronic Kidney Disease in Elderly Patients with Type 2 Diabetes Mellitus
Kyung-Soo Kim, Seok Won Park, Yong-Wook Cho, Soo-Kyung Kim
Diabetes Metab J. 2018;42(3):224-232.   Published online May 31, 2018
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  • 30 Web of Science
  • 33 Crossref
AbstractAbstract PDFPubReader   

To evaluate the prevalence of chronic kidney disease (CKD) and progression rate to CKD in elderly patients with type 2 diabetes mellitus (T2DM).


We investigated the medical records of 190 elderly patients (65 years or older) with T2DM from 2005 to 2011 in 6-month increments. Mean follow-up duration was 64.5 months. CKD was defined as estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 and/or the presence of albuminuria.


The mean age was 70.4 years and mean diabetes duration was 10.6 years. Among all the participants, 113 patients (59.5%) had CKD. The eGFR was significantly decreased between baseline (65.7±15.0 mL/min/1.73 m2) and the end of follow-up (52.7±17.5 mL/min/1.73 m2, P<0.001). At the end of follow-up, the prevalence of eGFR <60 mL/min/1.73 m2 had increased by 61.6% (at baseline, 44.2%). Furthermore, in patients with eGFR ≥60 mL/min/1.73 m2, the progression rate to more than CKD stage 3 was 39.6% at the end of follow-up; 30.2% of elderly diabetic patients had progressed to albuminuria from normoalbuminuria. Kaplan-Meier analysis showed that the time interval to worsening nephropathy was significantly shorter in elderly patients with diabetes duration ≥10 years than in those with diabetes duration <5 years (P=0.018).


CKD was commonly observed in older patients with T2DM, and the progression rate to CKD is also high. Consequently, it is important to identify and manage CKD as early as possible in elderly patients with T2DM, especially in those with diabetes duration ≥10 years.


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Diabetic Kidney Disease: From Epidemiology to Clinical Perspectives
Cheol Whee Park
Diabetes Metab J. 2014;38(4):252-260.   Published online August 20, 2014
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AbstractAbstract PDFPubReader   

With worldwide epidemic of diabetes mellitus, diabetic nephropathy which is one of the major causes of microvascular complication has become a serious concern in Korea as well as the rest of the world. In view of its significance, there is an urgent and paramount need for proper managements that could either deter or slow the progression of diabetic nephropathy. Despite advances in care, ever increasing number of patients suffering from diabetic kidney disease and from end-stage renal disease implies that the current management is not adequate in many aspects. The reasons for these inadequacies compromise lack of early diagnosis, failure to intervene with timely and aggressive manner, and lack of understanding on the kind of interventions required. Another issue equally important for the adequate care of patients with diabetic nephropathy is an understanding of past, present and future epidemiology of diabetic nephropathy which serves, especially in Korea, as a material determining standard diagnosis and treatment and a national health-policy decision.


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Diabetes Metab J : Diabetes & Metabolism Journal