Patterns of changes in fasting plasma glucose, hemoglobin A1c and the area under the curve during oral glucose tolerance tests in prediabetic subjects: results from a 16-year prospective cohort study among first-degree relatives of type 2 diabetic patients

被引:5
作者
Safari, Shahla [1 ,2 ]
Amini, Masoud [1 ]
Aminorroaya, Ashraf [1 ]
Feizi, Awat [1 ,2 ]
机构
[1] Isfahan Univ Med Sci, Isfahan Endocrine & Metab Res Ctr, Esfahan, Iran
[2] Isfahan Univ Med Sci, Sch Hlth, Dept Biostat & Epidemiol, Esfahan, Iran
关键词
Type; 2; diabetes; FPG; HbA1c; OGTT AUC; Glycemic indices; Prediabetes; Latent Markov model; GLYCATED HEMOGLOBIN; CLINICAL-IMPLICATIONS; INSULIN-RESISTANCE; FUTURE RISK; POPULATION; HBA1C; SHAPE; PREVALENCE; DIAGNOSIS; HBA(1C);
D O I
10.1007/s00592-020-01622-5
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aim This study aimed to identify the patterns of changes in glycemic indices over time in prediabetics and to classify these subjects as either having a high or low risk for developing diabetes in future. Methods This prospective 16-year cohort study was conducted among 1228 prediabetic subjects. Three measurements including first visit, mean values during the follow-up period, and last visit from fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1(C)), and area under the curve during an oral glucose tolerance test (OGTT AUC) were used to evaluate the patterns of changes by using the latent Markov model (LMM). Results The mean (standard deviation) age of subjects was 44.0 (6.8) years, and 73.6% of them were female. The LMM identified 2 latent states of subjects in terms of changes in FPG, HbA1c, OGTT AUC, and the combination of these glycemic measures: a low tendency to progress diabetes and a high tendency to progress diabetes with the latent state sizes (87, 13%), (94, 6%), (57, 43%), and (84, 16%), respectively. The LMM showed that the probability of transitioning from a low tendency to a high tendency to progress diabetes was higher than the probability of transitioning in the opposite direction. Conclusion Based on a long-term evaluation of patterns of changes in glycemic indices, we classified prediabetic subjects into 2 groups (high or low risk to progress diabetes states in future). Also, the method used enabled us to estimate the transition probabilities from low- to high-risk states and vice versa. Our results reemphasized the values of all 3 glycemic measures in clinical settings for identifying prediabetic people with a high risk of progressing diabetes and the need for more effective prevention strategies, which should be conducted as urgently in prediabetic life as high-risk subjects.
引用
收藏
页码:371 / 381
页数:11
相关论文
共 50 条
[1]   The shape of plasma glucose concentration curve during OGTT predicts future risk of type 2 diabetes [J].
Abdul-Ghani, Muhammad A. ;
Lyssenko, Valeriya ;
Tuomi, Tiinamaija ;
DeFronzo, Ralph A. ;
Groop, Leif .
DIABETES-METABOLISM RESEARCH AND REVIEWS, 2010, 26 (04) :280-286
[2]  
Adam John M F, 2008, Acta Med Indones, V40, P171
[3]   Cardiovascular and renal burdens of prediabetes in the USA: analysis of data from serial cross-sectional surveys, 1988-2014 [J].
Ali, Mohammed K. ;
Bullard, Kai McKeever ;
Saydah, Sharon ;
Imperatore, Giuseppina ;
Gregg, Edward W. .
LANCET DIABETES & ENDOCRINOLOGY, 2018, 6 (05) :392-403
[4]   Standards of Medical Care in Diabetes-2009 [J].
不详 .
DIABETES CARE, 2009, 32 :S13-S61
[5]  
American Diabetes Association 11, 2020, DIABETES CARE S1, V43, pS135, DOI [10.2337/dc20-S011, DOI 10.2337/DC20-S001]
[6]  
Amini Masoud, 2007, Rev Diabet Stud, V4, P169, DOI 10.1900/RDS.2007.4.169
[7]  
Bartolucci F., 2012, LATENT MARKOV MODELS
[8]   LMest: An R Package for Latent Markov Models for Longitudinal Categorical Data [J].
Bartolucci, Francesco ;
Pandolfi, Silvia ;
Pennoni, Fulvia .
JOURNAL OF STATISTICAL SOFTWARE, 2017, 81 (04) :1-38
[9]  
Basevi Vittorio, 2011, Diabetes Care, V34, pe54, DOI 10.2337/dc11-0174
[10]   HbA1c in adults without known diabetes from southern Europe. Impact of the new diagnostic criteria in clinical practice [J].
Bernal-Lopez, M. R. ;
Santamaria-Fernandez, S. ;
Lopez-Carmona, D. ;
Tinahones, F. J. ;
Mancera-Romero, J. ;
Pena-Jimenez, D. ;
Jansen-Chaparro, S. ;
Baca-Osorio, A. J. ;
Cuesta-Munoz, A. L. ;
Serrano-Rios, M. ;
Gomez-Huelgas, R. .
DIABETIC MEDICINE, 2011, 28 (11) :1319-1322