RESUMO
Introduction: Hypertension (HTN) is a significant risk factor for cardiovascular disease. Identifying new risk factors for hypertension is crucial. This study aims to determine the predictive value of fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c) in the development of hypertension. Methods: In this study, we examined 16,026 individuals without diabetes and other cardiovascular risk factors who were underwent annual screening at the People's Hospital of Yuxi, Yunnan, China from 2013 to 2016. The participants were divided into two groups: normoglycemic and prediabetic. Normoglycemia was defined as having an HbA1c level of less than 5.7% and an FPG level of less than 5.6 mmol/ L. Prediabetes was defined according to the ADA criteria, which includes having an HbA1c level between 5.7% and 6.5%, or an impaired fasting glucose level between 5.6 mmol/L and 7.0 mmol/L. The participants were further divided into four subgroups based on their FPG and HbA1c levels: normoglycemia, impaired HbA1c only, FPG only, and both parameters impaired. Results: The cohort study was conducted on 16,026 participants from Yunnan, China, consisting of 60.6% males and 39.4% females, with a mean age of 44.6 ± 12.5 years. The study revealed that prediabetes was independently associated with an increased risk for HTN (OR 1.53, 95% CI 1.41~1.67, P < 0.001). The analysis of different subgroups of HbA1c and FPG showed that FPG was a better predictor of HTN than HbA1c, regardless of the group. Conclusion: FPG and HbA1c were significantly associated with the future development of HTN in individuals with prediabetes.
RESUMO
OBJECTIVE: For patients with diabetes, high-frequency and -amplitude glycemic variability may be more harmful than continuous hyperglycemia; however, there is still a lack of screening indicators that can quickly and easily assess the level of glycemic variability. The aim of this study was to investigate whether the glycemic dispersion index is effective for screening high glycemic variability. METHODS: A total of 170 diabetes patients hospitalized in the Sixth Affiliated Hospital of Kunming Medical University were included in this study. After admission, the fasting plasma glucose, 2-hour postprandial plasma glucose, and glycosylated hemoglobin A1c were measured. The peripheral capillary blood glucose was measured seven times in 24 h, before and after each of three meals and before bedtime. The standard deviation of the seven peripheral blood glucose values was calculated, and a standard deviation of > 2.0 was used as the threshold of high glycemic variability. The glycemic dispersion index was calculated and its diagnostic efficacy for high glycemic variability was determined by the Mann-Whitney U test, receiver operating characteristic (ROC) curve and, Pearson correlation analysis. RESULTS: The glycemic dispersion index of patients with high glycemic variability was significantly higher than that of those with low glycemic variability (p < 0.01). The best cutoff value of the glycemic dispersion index for screening high glycemic variability was 4.21. The area under the curve (AUC) was 0.901 (95% CI: 0.856-0.945) and had a sensitivity of 0.781 and specificity of 0.905. It was correlated with the standard deviation of blood glucose values (r = 0.813, p < 0.01). CONCLUSIONS: The glycemic dispersion index had good sensitivity and specificity for screening high glycemic variability. It was significantly associated with the standard deviation of blood glucose concentration and is simple and easy to calculate. It was an effective screening indicator of high glycemic variability.