Iván Cavero-Redondo1, Vicente Martínez-Vizcaíno2, Celia Álvarez-Bueno1, José Ignacio Recio-Rodríguez3, Manuel Ángel Gómez-Marcos4, Luis García-Ortiz5. 1. Centro de Investigación Sanitaria y Social, Universidad de Castilla-La Mancha, Cuenca, España. 2. Centro de Investigación Sanitaria y Social, Universidad de Castilla-La Mancha, Cuenca, España; Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca, Chile. Electronic address: Vicente.Martinez@uclm.es. 3. Instituto de Investigación Biomédica de Salamanca (IBSAL), Unidad de Investigación de Atención Primaria, Centro de Salud La Alamedilla, Servicio de Salud de Castilla León, Salamanca, España; Departamento de Enfermería y Fisioterapia, Universidad de Salamanca, Salamanca, España. 4. Instituto de Investigación Biomédica de Salamanca (IBSAL), Unidad de Investigación de Atención Primaria, Centro de Salud La Alamedilla, Servicio de Salud de Castilla León, Salamanca, España; Departamento de Medicina, Universidad de Salamanca, Salamanca, España. 5. Instituto de Investigación Biomédica de Salamanca (IBSAL), Unidad de Investigación de Atención Primaria, Centro de Salud La Alamedilla, Servicio de Salud de Castilla León, Salamanca, España; Departamento de Ciencias Biomédicas y Diagnósticas, Universidad de Salamanca, Salamanca, España.
Abstract
OBJECTIVE: To examine, in a non-diabetic population, whether the association between arterial stiffness and glycaemic levels depends on the test used as a glycaemic indicator, fasting plasma glucose (FPG) or glycated haemoglobin A1c (HbA1c). PATIENT POPULATION AND METHODS: A cross-sectional analysis of a 220 non-diabetic subsample from the EVIDENT II study in which FPG, HbA1c and arterial stiffness-related parameters (pulse wave velocity, radial and central augmentation index, and central pulse pressure) were determined. Mean differences in arterial stiffness-related parameters by HbA1c and FPG tertiles were tested using analysis of covariance. RESULTS: All means of arterial stiffness-related parameters increased by HbA1c tertiles, although mean differences were only statistically significant in pulse wave velocity (p ≤.001), even after controlling for potential confounders (HbA1c <5.30% = 6.88 m/s; HbA1c 5.30%-5.59% = 7.06 m/s; and HbA1c ≥5.60% = 8.16 m/s, p =.004). Conversely, mean differences in pulse wave velocity by FPG tertiles did not reach statistically significant differences after controlling for potential confounders (FPG 4.44 mmol/l = 7.18 m/s; FPG 4.44 mmol/l-4.87 mmol/l = 7.26 m/s; and FPG ≥4.88 mmol/l = 7.93 m/s, p =.066). CONCLUSIONS: Glucose levels in a non-diabetic population were associated with arterial stiffness but better when levels were determined using HbA1c.
OBJECTIVE: To examine, in a non-diabetic population, whether the association between arterial stiffness and glycaemic levels depends on the test used as a glycaemic indicator, fasting plasma glucose (FPG) or glycated haemoglobin A1c (HbA1c). PATIENT POPULATION AND METHODS: A cross-sectional analysis of a 220 non-diabetic subsample from the EVIDENT II study in which FPG, HbA1c and arterial stiffness-related parameters (pulse wave velocity, radial and central augmentation index, and central pulse pressure) were determined. Mean differences in arterial stiffness-related parameters by HbA1c and FPG tertiles were tested using analysis of covariance. RESULTS: All means of arterial stiffness-related parameters increased by HbA1c tertiles, although mean differences were only statistically significant in pulse wave velocity (p ≤.001), even after controlling for potential confounders (HbA1c <5.30% = 6.88 m/s; HbA1c 5.30%-5.59% = 7.06 m/s; and HbA1c ≥5.60% = 8.16 m/s, p =.004). Conversely, mean differences in pulse wave velocity by FPG tertiles did not reach statistically significant differences after controlling for potential confounders (FPG 4.44 mmol/l = 7.18 m/s; FPG 4.44 mmol/l-4.87 mmol/l = 7.26 m/s; and FPG ≥4.88 mmol/l = 7.93 m/s, p =.066). CONCLUSIONS:Glucose levels in a non-diabetic population were associated with arterial stiffness but better when levels were determined using HbA1c.
Authors: Alexandro J Martagón; Carlos A Fermín-Martínez; Neftali Eduardo Antonio-Villa; Roopa Mehta; Paloma Almeda-Valdés; Arsenio Vargas-Vázquez; Liliana Muñoz-Hernández; Donají V Gómez-Velasco; Daniel Elías-López; Gabriela A Galán-Ramírez; Fabiola Mabel Del Razo-Olvera; Ivette Cruz-Bautista; Rogelio González-Arellanes; Carlos A Aguilar-Salinas Journal: Int J Environ Res Public Health Date: 2022-09-03 Impact factor: 4.614