INTRODUCTION: To assess in a prospective study the course and the predictors of microalbuminuria in children and adolescents with type 1 diabetes. MATERIAL AND METHODS: 438 children and adolescents who developed diabetes in the years 1985-2004 were followed for 9.2 ± 3.4 years from the diagnosis. Microalbuminuria was assessed on the basis of timed overnight urine collections performed once per year. Variability of glycated haemoglobin was expressed as a coefficient of variation (%) calculated by dividing standard deviation (adjusted for the number of measurements) by mean of HbA1c. RESULTS: Microalbuminuria was noted in 99 patients (22.6%) after 8.27 ± 3.3 years of diabetes. In 29 individuals (6.6%), microalbuminuria was persistent. The prevalence of microalbuminuria was not dependent on the period of diabetes diagnosis. During followup, 17 (58.6%) patients with persistent MA reverted to normoalbuminuria. Children without any episodes of microalbuminuria had significantly lower HbA1c variability (8.44%; 95% CI 7.81-9.08%) than those with one (10.28% 95% CI 9.10-11.47%; p = 0.007). The difference of HbA1c variability between patients with and without microalbuminuria persisted after correction by mean HbA1c (p = 0.04). Risk factors for ever developing microalbuminuria during the observation period in multivariate analysis included: mean HbA1c (HR [95% CI]: 1.17 [1.00-1.37; p = 0.05]) and its variability (1.04 [1.00-1.07]; p = 0.05), insulin dose (HR per 0.1 unit*kg- 1*day-1: 0.87 [0.79-0.96]; p = 0.005), presence of arterial hypertension (1.63 [1.07-2.49]; p = 0.02), and age at onset of diabetes (1.15 [1.08-1.21]; p < 0.0001). CONCLUSIONS: Children who develop microalbuminuria are characterised by poorer and more variable metabolic control, hinting at the importance of interventions aimed at both improvement and stabilisation of HbA1c levels.
INTRODUCTION: To assess in a prospective study the course and the predictors of microalbuminuria in children and adolescents with type 1 diabetes. MATERIAL AND METHODS: 438 children and adolescents who developed diabetes in the years 1985-2004 were followed for 9.2 ± 3.4 years from the diagnosis. Microalbuminuria was assessed on the basis of timed overnight urine collections performed once per year. Variability of glycated haemoglobin was expressed as a coefficient of variation (%) calculated by dividing standard deviation (adjusted for the number of measurements) by mean of HbA1c. RESULTS: Microalbuminuria was noted in 99 patients (22.6%) after 8.27 ± 3.3 years of diabetes. In 29 individuals (6.6%), microalbuminuria was persistent. The prevalence of microalbuminuria was not dependent on the period of diabetes diagnosis. During followup, 17 (58.6%) patients with persistent MA reverted to normoalbuminuria. Children without any episodes of microalbuminuria had significantly lower HbA1c variability (8.44%; 95% CI 7.81-9.08%) than those with one (10.28% 95% CI 9.10-11.47%; p = 0.007). The difference of HbA1c variability between patients with and without microalbuminuria persisted after correction by mean HbA1c (p = 0.04). Risk factors for ever developing microalbuminuria during the observation period in multivariate analysis included: mean HbA1c (HR [95% CI]: 1.17 [1.00-1.37; p = 0.05]) and its variability (1.04 [1.00-1.07]; p = 0.05), insulin dose (HR per 0.1 unit*kg- 1*day-1: 0.87 [0.79-0.96]; p = 0.005), presence of arterial hypertension (1.63 [1.07-2.49]; p = 0.02), and age at onset of diabetes (1.15 [1.08-1.21]; p < 0.0001). CONCLUSIONS:Children who develop microalbuminuria are characterised by poorer and more variable metabolic control, hinting at the importance of interventions aimed at both improvement and stabilisation of HbA1c levels.
Authors: Miriam H Eisenberg Colman; Virginia M Quick; Leah M Lipsky; Katherine W Dempster; Aiyi Liu; Lori M B Laffel; Sanjeev N Mehta; Tonja R Nansel Journal: Diabetes Care Date: 2018-01-25 Impact factor: 19.112
Authors: Emma S Scott; Rachel T McGrath; Andrzej S Januszewski; Daniel Calandro; Anandwardhan A Hardikar; David N O'Neal; Gregory Fulcher; Alicia J Jenkins Journal: BMJ Open Date: 2019-12-29 Impact factor: 2.692
Authors: Pedro Romero-Aroca; Raul Navarro-Gil; Albert Feliu; Aida Valls; Antonio Moreno; Marc Baget-Bernaldiz Journal: Diagnostics (Basel) Date: 2021-06-24