The association between self-monitoring of blood glucose and HbA1c in type 2 diabetes
AimsFasting capillary blood glucose (FCG) and postprandial capillary blood glucose (PCG) both contribute to HbA1c in diabetes. Due to the collinearity between FCG and PCG, the HbA1c prediction model could not be developed with both FCG and PCG by linear regression. The study aimed to develop an HbA1...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-02-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2023.1056828/full |
| _version_ | 1811170402182889472 |
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| author | Yanping Yuan Xianghai Zhou Weiping Jia Jian Zhou Fan Zhang Jianling Du Linong Ji |
| author_facet | Yanping Yuan Xianghai Zhou Weiping Jia Jian Zhou Fan Zhang Jianling Du Linong Ji |
| author_sort | Yanping Yuan |
| collection | DOAJ |
| description | AimsFasting capillary blood glucose (FCG) and postprandial capillary blood glucose (PCG) both contribute to HbA1c in diabetes. Due to the collinearity between FCG and PCG, the HbA1c prediction model could not be developed with both FCG and PCG by linear regression. The study aimed to develop an HbA1c prediction model with both FCG and PCG to estimate HbA1c in type 2 diabetes.MethodsA total of 1,642 patients with type 2 diabetes who had at least three FCG and three PCG measurements in the past 3 months were enrolled in the study. The mean of FCG (MEANFCG) and PCG (MEANPCG) were calculated for each patient. The patients were randomized into exploratory and validation groups. The former was used for developing HbA1c prediction models and the latter for performance evaluation.ResultsThe new HbA1c prediction model using ridge regression expressed as HbA1c (%) = 0.320×MEANFCG (mmol/L) + 0.187×MEANPCG (mmol/L) + 2.979, R2 = 0.668. Compared to linear regression models developed with FCG, PCG, fasting plasma glucose (FPG), and 2-hour postprandial plasma glucose (2-h PPG), respectively, the new HbA1c prediction model showed the smallest mean square error, root mean square error, mean absolute error. The concordance correlation coefficient of the new HbA1c prediction model and the linear regression models with MEANFCG, MEANPCG, FPG or 2-h PPG were 0.810,0.773,0.749,0.715,0.672.ConclusionWe have developed a new HbA1c prediction model with both FCG and PCG, which showed better prediction ability and good agreement. |
| first_indexed | 2024-04-10T16:57:14Z |
| format | Article |
| id | doaj.art-3a263e775998409b9bfcbddd3741180b |
| institution | Directory Open Access Journal |
| issn | 1664-2392 |
| language | English |
| last_indexed | 2024-04-10T16:57:14Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj.art-3a263e775998409b9bfcbddd3741180b2023-02-07T05:13:56ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922023-02-011410.3389/fendo.2023.10568281056828The association between self-monitoring of blood glucose and HbA1c in type 2 diabetesYanping Yuan0Xianghai Zhou1Weiping Jia2Jian Zhou3Fan Zhang4Jianling Du5Linong Ji6Department of Endocrinology, Peking University People’s Hospital, Beijing, ChinaDepartment of Endocrinology, Peking University People’s Hospital, Beijing, ChinaDepartment of Endocrinology & Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai, ChinaDepartment of Endocrinology & Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai, ChinaDepartment of Endocrinology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, ChinaDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, ChinaDepartment of Endocrinology, Peking University People’s Hospital, Beijing, ChinaAimsFasting capillary blood glucose (FCG) and postprandial capillary blood glucose (PCG) both contribute to HbA1c in diabetes. Due to the collinearity between FCG and PCG, the HbA1c prediction model could not be developed with both FCG and PCG by linear regression. The study aimed to develop an HbA1c prediction model with both FCG and PCG to estimate HbA1c in type 2 diabetes.MethodsA total of 1,642 patients with type 2 diabetes who had at least three FCG and three PCG measurements in the past 3 months were enrolled in the study. The mean of FCG (MEANFCG) and PCG (MEANPCG) were calculated for each patient. The patients were randomized into exploratory and validation groups. The former was used for developing HbA1c prediction models and the latter for performance evaluation.ResultsThe new HbA1c prediction model using ridge regression expressed as HbA1c (%) = 0.320×MEANFCG (mmol/L) + 0.187×MEANPCG (mmol/L) + 2.979, R2 = 0.668. Compared to linear regression models developed with FCG, PCG, fasting plasma glucose (FPG), and 2-hour postprandial plasma glucose (2-h PPG), respectively, the new HbA1c prediction model showed the smallest mean square error, root mean square error, mean absolute error. The concordance correlation coefficient of the new HbA1c prediction model and the linear regression models with MEANFCG, MEANPCG, FPG or 2-h PPG were 0.810,0.773,0.749,0.715,0.672.ConclusionWe have developed a new HbA1c prediction model with both FCG and PCG, which showed better prediction ability and good agreement.https://www.frontiersin.org/articles/10.3389/fendo.2023.1056828/fulltype 2 diabetesHbA1cridge regressionfasting capillary blood glucosepostprandial capillary blood glucose |
| spellingShingle | Yanping Yuan Xianghai Zhou Weiping Jia Jian Zhou Fan Zhang Jianling Du Linong Ji The association between self-monitoring of blood glucose and HbA1c in type 2 diabetes Frontiers in Endocrinology type 2 diabetes HbA1c ridge regression fasting capillary blood glucose postprandial capillary blood glucose |
| title | The association between self-monitoring of blood glucose and HbA1c in type 2 diabetes |
| title_full | The association between self-monitoring of blood glucose and HbA1c in type 2 diabetes |
| title_fullStr | The association between self-monitoring of blood glucose and HbA1c in type 2 diabetes |
| title_full_unstemmed | The association between self-monitoring of blood glucose and HbA1c in type 2 diabetes |
| title_short | The association between self-monitoring of blood glucose and HbA1c in type 2 diabetes |
| title_sort | association between self monitoring of blood glucose and hba1c in type 2 diabetes |
| topic | type 2 diabetes HbA1c ridge regression fasting capillary blood glucose postprandial capillary blood glucose |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2023.1056828/full |
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