scholarly journals Association between prediabetes (defined by HbA1C, fasting plasma glucose, and impaired glucose tolerance) and the development of chronic kidney disease: a 9-year prospective cohort study

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Gwang Sil Kim ◽  
Hyun Ho Oh ◽  
Sang Hyun Kim ◽  
Byung Ok Kim ◽  
Young Sup Byun
2020 ◽  
Vol 8 (1) ◽  
pp. e000955 ◽  
Author(s):  
Wei Li ◽  
Anping Wang ◽  
Jiajia Jiang ◽  
Guangxu Liu ◽  
Meiping Wang ◽  
...  

ObjectiveWe aimed to investigate the effects of prediabetes and its phenotypes of impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and elevated glycated hemoglobin A1c (EHbA1c) on chronic kidney disease (CKD) occurrence, and define the cut-off point of each glycemic index that significantly increases the risk of CKD.Research design and methodsIn this prospective cohort study, 6446 non-diabetic subjects aged 40 years and over were followed over a period of 3 years to track the new onset of CKD. Cox regression was used to assess the association of prediabetes and its phenotypes with CKD. Receiver operating characteristic curves were used to define the cut-off point of each glycemic index that significantly increases the occurrence of CKD. Population attributable risk percent was calculated to estimate the contribution of prediabetes to CKD.ResultsCompared to subjects with normal glucose tolerance, patients with prediabetes significantly increased the risk of development of CKD (HR=2.33 (1.19–4.55)). Specifically, this increased risk of CKD development was observed in patients with IFG, IGT and EHbA1c. The cut-off points shown to significantly increase the risk of CKD are fasting plasma glucose of 5.63 mmol/L, 2-hour plasma glucose of 6.80 mmol/L and HbA1c of 5.6%. The contribution of prediabetes to CKD occurrence in the study population was 60.6%.ConclusionsThis result suggests that the stricter criteria might be needed to define normal plasma glucose level in China that would not be predisposed to diabetic complications, particularly CKD.


2015 ◽  
Vol 41 (2) ◽  
pp. 107-115 ◽  
Author(s):  
Xiaobing Yang ◽  
Xin Lin ◽  
Tao Lu ◽  
Pingyan Chen ◽  
Xiaobin Wang ◽  
...  

Background/Aims: Glucocorticoids-induced abnormal glucose metabolism (AGM) is a common medical problem in patients with non-diabetic chronic kidney disease (CKD). However, little information is available regarding the prediction of steroid-induced AGM in this patient population. Methods: In this prospective cohort study, we consecutively enrolled 303 non-diabetic CKD patients with fasting plasma glucose (FPG) levels <5.6 mmol/l and normal oral glucose tolerance test (OGTT). OGTT was performed every 3 months during glucocorticoid treatment to identify new-onset AGM, and patients were followed for 12 months post steroid withdrawal. Results: During 593 person-years, there were 107 incident cases of steroid-induced AGM (18/100 person-year), including 55 (51.4%) diabetes and 52 (48.6%) pre-diabetes. In a multivariate model, each millimole increase per liter in FPG enhanced the risk of AGM by 4.6-fold (hazard ratio 4.58, 95% confidence interval, 2.67-7.83). After adjusting other risk factors, a progressively increased risk of AGM or DM was observed in patients with FPG levels ≥4.8 mmol/l, as compared with those whose levels were ≤4.3 mmol/l (p for trend <0.001). Furthermore, a greater increase in FPG level (≥0.3 mmol/l) during the first 3 months of glucocorticoid treatment was associated with an increased risk for future diabetes. For predicting steroid-induced diabetes, the area under the receiver-operating characteristic curve was 0.90 for the combination of FPG and changes in FPG levels at month 3. Conclusion: Higher-normal FPG and a greater increase in FPG levels during glucocorticoid treatment may help to identify non-diabetic CKD patients at increased risk of steroid-induced AGM or diabetes.


2018 ◽  
Vol 146 ◽  
pp. 233-239 ◽  
Author(s):  
Tomomichi Koshi ◽  
Hiroyuki Sagesaka ◽  
Yuka Sato ◽  
Kazuko Hirabayashi ◽  
Hideo Koike ◽  
...  

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