Correlation between glycosylated serum albumin and glycosylated haemoglobin in the southwest Chinese population: Establishment of a regression model.
J Diabetes Complications
; 35(2): 107796, 2021 02.
Article
em En
| MEDLINE
| ID: mdl-33303295
ABSTRACT
AIMS:
To correlate glycated albumin (GA) and glycosylated haemoglobin (HbA1c) and establish a novel formula for estimating HbA1c from GA.METHODS:
We retrospectively enrolled 20,381 cases and excluded HbA1c and GA outliers by residual analysis. HbA1c ranged from 4.0-12.0% and GA from 7.5-45%. The HbA1c range of 4.0-8.0% in both sexes was stratified into eight groups with an increase of 0.5%, and the means of GA and HbA1c were compared. HbA1c was divided into 38 groups with increments of 0.1% (range, 4.3-8.0%), and the correlation between HbA1c and GA was investigated.RESULTS:
There was no significant sex-based difference between HbA1c and GA. The analysis showed that when HbA1c was 6.2% or GA was 12.28%, the linear relationship between the two parameters was not continuous. When HbA1c was <6.2% or GAâ¯<â¯12.28%, we devised the formula HbA1câ¯=â¯1.136â¯×â¯GAâ¯-â¯7.289 (R2â¯=â¯0.824). For HbA1câ¯≥â¯6.2% or GAâ¯≥â¯12.28%, the equation was HbA1câ¯=â¯0.252â¯×â¯GAâ¯+â¯3.163 (R2â¯=â¯0.948).CONCLUSION:
A discontinuous linear relationship exists between HbA1c and GA when HbA1c is 6.2% or GA is 12.28%, although with a significant turning point. The GA value can be used to estimate the HbA1c value with the two regression equations to accurately estimate the long-term average blood glucose level of patients.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Observational_studies
/
Risk_factors_studies
Limite:
Female
/
Humans
/
Male
País/Região como assunto:
Asia
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article