Xue Bao1, Min Wan1, Yeqing Gu1, Yanqi Song2, Qing Zhang3, Li Liu3, Ge Meng1, Hongmei Wu1, Yang Xia1, HongBin Shi3, Qian Su1, Liyun Fang1, Huijun Yang1, Fei Yu1, Shaomei Sun3, Xing Wang3, Ming Zhou3, Qiyu Jia3, Kun Song3, Guolin Wang3, Ming Yu4, Kaijun Niu5. 1. Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, PR China; Collaborative Innovation Center of non-communicable disease, Tianjin Medical University, Tianjin, PR China. 2. Tianjin University of Traditional Chinese Medicine, Tianjin, PR China. 3. Health Management Centre, Tianjin Medical University General Hospital, Tianjin, PR China. 4. Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, PR China. Electronic address: minnieyu@tmu.edu.cn. 5. Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, PR China; Collaborative Innovation Center of non-communicable disease, Tianjin Medical University, Tianjin, PR China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, PR China. Electronic address: niukaijun@tmu.edu.cn.
Abstract
AIMS: To investigate the association between red cell distribution width (RDW) and elevation of glucose/glycated hemoglobin (HbA1c). METHODS: An analysis was conducted using data from a prospective cohort study of adults. People without prediabetes or diabetes (n=7,795) were followed for a mean of 2.90years (range: 1-7years, 95% confidence interval: 2.86-2.94years). Glucose elevation is defined as fasting glucose levels exceeding 5.6mmol/l, or 2-hour glucose values in the oral glucose tolerance test exceeding 7.8mmol/l. HbA1c elevation is defined as a HbA1c value exceeding a normal limit of 39mmol/mol (5.7%). Adjusted Cox proportional hazards regression models were used to assess the association between RDW quartiles and elevation of HbA1c/glucose. RESULTS: The multiple-adjusted hazard ratios (95% confidence interval) of HbA1c elevation for increased quartiles of RDW were 1.00 (reference), 1.08 (0.89, 1.30), 1.28 (1.07, 1.54), and 1.54 (1.29, 1.85) (P for trend<0.0001). However, no significant association was observed between RDW and blood glucose (fasting and postprandial). CONCLUSIONS: Elevated RDW is independently related to future HbA1c elevation, but not to glucose elevation. This suggests that RDW may associate with HbA1c through a non-glycemic way, which should be taken into consideration when using HbA1c as a diagnostic criterion of prediabetes or diabetes.
AIMS: To investigate the association between red cell distribution width (RDW) and elevation of glucose/glycated hemoglobin (HbA1c). METHODS: An analysis was conducted using data from a prospective cohort study of adults. People without prediabetes or diabetes (n=7,795) were followed for a mean of 2.90years (range: 1-7years, 95% confidence interval: 2.86-2.94years). Glucose elevation is defined as fasting glucose levels exceeding 5.6mmol/l, or 2-hour glucose values in the oral glucose tolerance test exceeding 7.8mmol/l. HbA1c elevation is defined as a HbA1c value exceeding a normal limit of 39mmol/mol (5.7%). Adjusted Cox proportional hazards regression models were used to assess the association between RDW quartiles and elevation of HbA1c/glucose. RESULTS: The multiple-adjusted hazard ratios (95% confidence interval) of HbA1c elevation for increased quartiles of RDW were 1.00 (reference), 1.08 (0.89, 1.30), 1.28 (1.07, 1.54), and 1.54 (1.29, 1.85) (P for trend<0.0001). However, no significant association was observed between RDW and blood glucose (fasting and postprandial). CONCLUSIONS: Elevated RDW is independently related to future HbA1c elevation, but not to glucose elevation. This suggests that RDW may associate with HbA1c through a non-glycemic way, which should be taken into consideration when using HbA1c as a diagnostic criterion of prediabetes or diabetes.
Authors: Daniel S Hsia; Neda Rasouli; Anastassios G Pittas; Christine W Lary; Anne Peters; Michael R Lewis; Sangeeta R Kashyap; Karen C Johnson; Erin S LeBlanc; Lawrence S Phillips; James M Hempe; Cyrus V Desouza Journal: J Clin Endocrinol Metab Date: 2020-03-01 Impact factor: 5.958
Authors: Magdalena Mróz; Magdalena Gajęcka; Katarzyna E Przybyłowicz; Tomasz Sawicki; Sylwia Lisieska-Żołnierczyk; Łukasz Zielonka; Maciej Tadeusz Gajęcki Journal: Toxins (Basel) Date: 2022-01-29 Impact factor: 4.546