Predictors of Treatment Requirements in Women with Gestational Diabetes: A Retrospective Analysis

被引:1
作者
Weschenfelder, Friederike [1 ]
Lohse, Karolin [2 ]
Lehmann, Thomas [3 ]
Schleussner, Ekkehard [1 ]
Groten, Tanja [1 ]
机构
[1] Univ Hosp Jena, Dept Obstet, D-07747 Jena, Germany
[2] Univ Hosp Jena, Dept Paediat, Neonatol Unit, D-07747 Jena, Germany
[3] Univ Hosp Jena, Friedrich Schiller Univ, Inst Med Stat & Comp Sci, D-07747 Jena, Germany
关键词
gestational diabetes; insulin treatment; predictors; HbA1c; ultrasound parameters; MELLITUS GDM; ASSOCIATION; PREGNANCY; DIAGNOSIS; LEVEL; GUIDELINE; NUMBER; DDG;
D O I
10.3390/jcm10194421
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The diagnosis of gestational diabetes is usually very stressful for pregnant women, especially because they fear that insulin treatment may become necessary. Knowledge about personal risk factors predicting the probability of insulin treatment could therefore help to improve acceptance of the diagnosis and therapy adherence. The aim of this study was to find potential risk factors for insulin dependency and treatment requirements using information available at the time of diagnosis of gestational diabetes during pregnancy. We included 454 singleton pregnancies diagnosed >= 24 weeks of gestation. Multivariate regression analysis was used to evaluate independent associations of metabolic, anthropometric and fetal ultrasound parameters with the general need for insulin treatment and further stratified treatment options: diet (n = 275), bolus insulin only (n = 45), basal insulin only (n = 73) and multiple daily injections (n = 61). Receiver operator characteristics and cut-off values for independent variables were generated. Treatment groups differed significantly concerning pre-pregnancy weight and BMI as well as fasting glucose and 1 h glucose test values. Significant cut-offs for insulin dependency were HbA1c level of 5.4%, FPG of 5.5 mmol/L and 1 h glucose of 10.6 mmol/L. At time of diagnosis, certain patient characteristics and measurements can help to predict treatment necessities and therefore improve individualized counselling.
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页数:10
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