Silvia Gorban de Lapertosa1, Jorge Alvariñas2, Jorge F Elgart3, Susana Salzberg4, Juan J Gagliardino3. 1. Facultad de Medicina UNNE, Corrientes, Argentina. 2. Hospital Enrique Tornu, CABA, Buenos Aires, Argentina. 3. CENEXA (UNLP-CONICET-CEAS CICPBA), Faculty of Medical Sciences UNLP, La Plata, Argentina. 4. Instituto, Centenario, Department of Medical Research, Buenos Aires, Argentina.
Abstract
AIMS: Offspring of women with gestational diabetes (GD) have more macrosomia than newborns of normal mothers. We studied macrosomia frequency, possible pathogenesis, and main predictors of its appearance at different gestational ages. MATERIALS AND METHODS: A total of 1870 pregnant women with GD were recruited in primary care centres and maternity hospitals in the Argentine provinces of Corrientes, Chaco, Buenos Aires, and in Buenos Aires City; 1088 completed gestation and delivered an infant. We collected clinical and metabolic data, personal and obstetric history, and gestational and delivery characteristics. Presence of macrosomia was analysed in the whole population, the entire pregnancy, and in each trimester of gestation. Data were statistically analysed and values were expressed as mean ± SD and percentages. The study protocol was approved by the Ethics Committee and all participants signed informed consent. RESULTS: Macrosomia was found in 12.9% of newborns and obesity in all mothers with no significant differences between mothers with/without macrosomic offspring. In early pregnancy, the main significant indicators of macrosomia were: history of dyslipidaemia (5.6% vs 1.2%, respectively) and macrosomia in previous pregnancies (27% vs 13%, respectively). However, the third trimester showed a significant combination of higher BMI, FBG, and triglycerides. CONCLUSIONS: Offspring of women with GD presented macrosomia in 12.9% of cases, maternal history of dyslipidaemia and macrosomia in previous pregnancies being early predictors. The combination of maternal obesity, FBG, and hypertriglyceridemia became significant during the last trimester of pregnancy.
AIMS: Offspring of women with gestational diabetes (GD) have more macrosomia than newborns of normal mothers. We studied macrosomia frequency, possible pathogenesis, and main predictors of its appearance at different gestational ages. MATERIALS AND METHODS: A total of 1870 pregnant women with GD were recruited in primary care centres and maternity hospitals in the Argentine provinces of Corrientes, Chaco, Buenos Aires, and in Buenos Aires City; 1088 completed gestation and delivered an infant. We collected clinical and metabolic data, personal and obstetric history, and gestational and delivery characteristics. Presence of macrosomia was analysed in the whole population, the entire pregnancy, and in each trimester of gestation. Data were statistically analysed and values were expressed as mean ± SD and percentages. The study protocol was approved by the Ethics Committee and all participants signed informed consent. RESULTS:Macrosomia was found in 12.9% of newborns and obesity in all mothers with no significant differences between mothers with/without macrosomic offspring. In early pregnancy, the main significant indicators of macrosomia were: history of dyslipidaemia (5.6% vs 1.2%, respectively) and macrosomia in previous pregnancies (27% vs 13%, respectively). However, the third trimester showed a significant combination of higher BMI, FBG, and triglycerides. CONCLUSIONS: Offspring of women with GD presented macrosomia in 12.9% of cases, maternal history of dyslipidaemia and macrosomia in previous pregnancies being early predictors. The combination of maternal obesity, FBG, and hypertriglyceridemia became significant during the last trimester of pregnancy.
Authors: Yaa Adoma Kwapong; Ellen Boakye; Guoying Wang; Xiumei Hong; Jennifer Lewey; Mamas Andreas Mamas; Pensee Wu; Michael Joseph Blaha; Khurram Nasir; Allison Gamboa Hays; Roger Scott Blumenthal; Xiaobin Wang; Garima Sharma Journal: J Cardiovasc Dev Dis Date: 2022-06-04
Authors: Zhi Guo Chen; Ya Ting Xu; Lu Lu Ji; Xiao Li Zhang; Xiao Xing Chen; Rui Liu; Chao Wu; Yan Ling Wang; Han Yang Hu; Lin Wang Journal: BMC Pregnancy Childbirth Date: 2020-08-12 Impact factor: 3.007