2016
DOI: 10.1007/s00125-016-4035-z
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Maternal overweight and obesity and risk of pre-eclampsia in women with type 1 diabetes or type 2 diabetes

Abstract: Aims/hypothesis Women with type 1 or type 2 diabetes are at increased risk of pre-eclampsia. Overweight and obesity are associated with an increased risk of pre-eclampsia in women without diabetes. The aim of the study was to investigate the impact of maternal overweight and obesity on the risk of preeclampsia in women with type 1 diabetes or type 2 diabetes. Methods In a population-based cohort study including singleton births in Sweden, we estimated the risk of pre-eclampsia among women with type 1 diabetes … Show more

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Cited by 54 publications
(45 citation statements)
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“…However, even women who achieve a glycated hemoglobin (A1C) ≤7.0% preconception have an increased risk of complications compared to the general population. This may be caused, in part, by maternal obesity, especially in women with type 2 diabetes (10)(11)(12)(13).…”
Section: Preconception Carementioning
confidence: 99%
“…However, even women who achieve a glycated hemoglobin (A1C) ≤7.0% preconception have an increased risk of complications compared to the general population. This may be caused, in part, by maternal obesity, especially in women with type 2 diabetes (10)(11)(12)(13).…”
Section: Preconception Carementioning
confidence: 99%
“…Univariate logistic regression analysis was undertaken to explore the association between preeclampsia and each of the following variables, selected based on the literature [5][6][7] : type 1 diabetes (yes/no); duration of diabetes (years); pre-pregnancy BMI (kg/m 2 ); HbA1c at first visit (%); systolic BP and diastolic BP at first visit (mmHg); nulliparity (yes/no); chronic hypertension at first visit (yes/no); retinopathy at first visit (yes/no), diabetic kidney involvement (yes/no), microangiopathy (yes/no) and preeclampsia (yes/no). To identify possible early risk factors for preeclampsia, multivariate logistic regression analysis was applied with preeclampsia as the dependent variable and the following four independent variables based on the results of the univariate analyses: nulliparity (yes/no), diabetic microangiopathy (yes/no), systolic BP and diastolic BP at first visit (per 10 mmHg).…”
Section: Statistical Analysis and Ethicsmentioning
confidence: 99%
“…In women with type 1 diabetes, the following factors are associated with an increased risk of developing preeclampsia: long duration of diabetes, nulliparity, obesity, diabetic kidney involvement (diabetic nephropathy or microalbuminuria), elevated BP before pregnancy, retinopathy and poor glycemic control [5][6][7][8]. Risk factors for preeclampsia in women with type 2 diabetes are less well documented [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…VFI is the average color value of all voxels of the studied volume, both gray and color (expressed as an absolute value: 0-100). 17 Biomarkers were transformed to obtain a normalized distribution. For each biomarker, a regression model was fitted using CRL.…”
Section: Methodsmentioning
confidence: 99%