BACKGROUND: The association of blood glucose [including fasting blood glucose (FBG), 2-h postload blood glucose, and glycated hemoglobin (HbA1c)] with the risk of a mild decline in the estimated glomerular filtration rate (eGFR) in healthy subjects was unclear. The aim of the study was to investigate this association in middle-aged and elderly healthy Chinese. METHODS: The study included 1,112 healthy Chinese who were ≥40 years old, and all the subjects were divided into two groups based on FBG value of 5.6 mmol/L. A mildly reduced eGFR was defined as 60-90 mL/min/1.73 m2. Multiple linear or logistic regression analysis was used to estimate the association of blood glucose with eGFR and the risk of a mildly reduced eGFR, respectively. A generalized additive model was used to explore a possible nonlinear relationship between FBG and eGFR. RESULTS: FBG was significantly associated with decreased eGFR and increased risk of a mildly reduced eGFR independent of age, gender, body mass index, waist circumference, systolic blood pressure (BP), diastolic BP, triglyceride, high-density lipoprotein cholesterol, fasting insulin, smoking, and drinking. Additionally, FBG and eGFR showed a nonlinear association (P<0.001). Interestingly, the group with FBG≥5.6 mmol/L significantly increased the risk of a mildly reduced eGFR (OR 2.06, P=0.001) after multivariable adjustment. CONCLUSIONS: FBG is closely associated with decreased eGFR and increased risk of a mildly reduced eGFR. The ADA criteria using FBG=5.6 mmol/L instead of 6.1 mmol/L as cutoff point to define prediabetes are more suitable for the prevention of diabetes and related kidney disease.
BACKGROUND: The association of blood glucose [including fasting blood glucose (FBG), 2-h postload blood glucose, and glycated hemoglobin (HbA1c)] with the risk of a mild decline in the estimated glomerular filtration rate (eGFR) in healthy subjects was unclear. The aim of the study was to investigate this association in middle-aged and elderly healthy Chinese. METHODS: The study included 1,112 healthy Chinese who were ≥40 years old, and all the subjects were divided into two groups based on FBG value of 5.6 mmol/L. A mildly reduced eGFR was defined as 60-90 mL/min/1.73 m2. Multiple linear or logistic regression analysis was used to estimate the association of blood glucose with eGFR and the risk of a mildly reduced eGFR, respectively. A generalized additive model was used to explore a possible nonlinear relationship between FBG and eGFR. RESULTS: FBG was significantly associated with decreased eGFR and increased risk of a mildly reduced eGFR independent of age, gender, body mass index, waist circumference, systolic blood pressure (BP), diastolic BP, triglyceride, high-density lipoprotein cholesterol, fasting insulin, smoking, and drinking. Additionally, FBG and eGFR showed a nonlinear association (P<0.001). Interestingly, the group with FBG≥5.6 mmol/L significantly increased the risk of a mildly reduced eGFR (OR 2.06, P=0.001) after multivariable adjustment. CONCLUSIONS: FBG is closely associated with decreased eGFR and increased risk of a mildly reduced eGFR. The ADA criteria using FBG=5.6 mmol/L instead of 6.1 mmol/L as cutoff point to define prediabetes are more suitable for the prevention of diabetes and related kidney disease.
Authors: Allan J Collins; Robert N Foley; Charles Herzog; Blanche Chavers; David Gilbertson; Areef Ishani; Bertram Kasiske; Jiannong Liu; Lih-Wen Mau; Marshall McBean; Anne Murray; Wendy St Peter; Haifeng Guo; Sally Gustafson; Qi Li; Shuling Li; Suying Li; Yi Peng; Yang Qiu; Tricia Roberts; Melissa Skeans; Jon Snyder; Craig Solid; Changchun Wang; Eric Weinhandl; David Zaun; Cheryl Arko; Shu-Cheng Chen; Frederick Dalleska; Frank Daniels; Stephan Dunning; James Ebben; Eric Frazier; Christopher Hanzlik; Roger Johnson; Daniel Sheets; Xinyue Wang; Beth Forrest; Edward Constantini; Susan Everson; Paul Eggers; Lawrence Agodoa Journal: Am J Kidney Dis Date: 2011-01 Impact factor: 8.860
Authors: Niall G Campbell; Mira Varagunam; Vinit Sawhney; Kumar R Ahuja; Nabila Salahuddin; Rodney De Palma; Martin T Rothman; Andrew Wragg; Muhammed M Yaqoob; Charles J Knight Journal: Heart Date: 2011-08-31 Impact factor: 5.994
Authors: Marc M H Hermans; Ronald Henry; Jacqueline M Dekker; Jeroen P Kooman; Piet J Kostense; Giel Nijpels; Robert J Heine; Coen D A Stehouwer Journal: J Am Soc Nephrol Date: 2007-04-25 Impact factor: 10.121
Authors: A Natali; B Boldrini; S Baldi; M Rossi; P Landi; S Severi; A Solini; E Ferrannini Journal: Nutr Metab Cardiovasc Dis Date: 2013-12-24 Impact factor: 4.222
Authors: Stein I Hallan; Kunihiro Matsushita; Yingying Sang; Bakhtawar K Mahmoodi; Corri Black; Areef Ishani; Nanne Kleefstra; David Naimark; Paul Roderick; Marcello Tonelli; Jack F M Wetzels; Brad C Astor; Ron T Gansevoort; Adeera Levin; Chi-Pang Wen; Josef Coresh Journal: JAMA Date: 2012-12-12 Impact factor: 56.272