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A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
Published on: February 28, 2013
Glycemic control and comprehensive metabolic risk factors control in older adults with type 2 diabetes
Shuang-Tong Yan1, Jun-Hong Jia2, Xiao-Feng Lv3
1Department of Endocrinology, the Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Background:
Older adults with type 2 diabetes are prone to multiple metabolic abnormalities. However, data from these patients on comprehensive metabolic risk factors control are limited.
Methods:
The present study included 2736 older adults aged 60 to 90 years with type 2 diabetes from 114 hospitals across 22 provinces in China. Metabolic abnormalities, including hypertension, dyslipidemia, hyperuricemia, and obesity, were recorded. Comprehensive metabolic risk factors control included the control of hemoglobin A1c (HbA1c) level, blood pressure, serum lipids level, serum uric acid level, and body mass index. The target glycemic control was defined as HbA1c <7%.
Results:
The proportion of older adults who achieved the HbA1c target was 23.0%. The glycemic control rate increased with the number of metabolic abnormalities increased. The patients who had all four metabolic abnormalities had 4.05 times (95% confidence interval: 2.16, 7.61) the odd to meet glycemic target than those with none of metabolic abnormalities. However, only 4.6% of patients met the targets for all 5 metabolic risk factors. The comprehensive rate of all 5 factors in control decreased from 13.4% to 0% with the number of metabolic abnormalities increased.
Conclusion:
The glycemic control rate and the comprehensive metabolic risk factors control rate were 23.0% and 4.6%, respectively. As the number of metabolic abnormalities increased, the number of risk factor targets achieved decreased. Our findings suggest that a strategy for comprehensive control is urgently needed in older adults with type 2 diabetes, especially in those with co-existing metabolic abnormalities.
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