scholarly journals Elevated First-Trimester Neutrophil Count Is Closely Associated with the Development of Maternal Gestational Diabetes Mellitus and Adverse Pregnancy Outcomes

2020 ◽  
Author(s):  
Ada Admin ◽  
Tiange Sun ◽  
Fanhua Meng ◽  
Hongmei Zhao ◽  
Min Yang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Blood Cell ◽  
Gestational Diabetes Mellitus ◽  
Neutrophil Count ◽  
Pregnancy Outcomes ◽  
First Trimester ◽  
Adverse Pregnancy Outcomes ◽  
Newborn Weight ◽  
Adverse Pregnancy

Chronic low-grade inflammation plays a central role in the pathophysiology of gestational diabetes mellitus (GDM). In order to investigate the ability of different <a></a><a>inflammatory blood cell parameters</a> in predicting the development of GDM and pregnancy outcomes, 258 women with GDM and 1154 women without were included in this retrospective study. First-trimester neutrophil count outperformed white blood cell (WBC) count, and neutrophil-to-lymphocyte ratio (NLR) in the predictability for GDM. Subjects were grouped based on tertiles of neutrophil count during their first-trimester pregnancy. The results showed that as the neutrophil count increased, there was a step-wise increase in GDM incidence, as well as glucose and glycosylated hemoglobin (HbA1c) level, Homeostasis Model Assessment for Insulin Resistance (HOMA-IR), macrosomia incidence and newborn weight. Neutrophil count was positively associated with pre-pregnancy Body Mass Index (BMI), HOMA-IR and newborn weight. Additionally, neutrophil count was an independent risk factor for the development of GDM, regardless of the history of GDM. Spline regression showed that there was a significant linear association between GDM incidence and continuous neutrophil count when it exceeded 5.0 × 10<sup>9</sup>/L. This work suggested that first-trimester neutrophil count is closely associated with the development of GDM and adverse pregnancy outcomes.

scholarly journals Elevated First-Trimester Neutrophil Count Is Closely Associated with the Development of Maternal Gestational Diabetes Mellitus and Adverse Pregnancy Outcomes

2020 ◽  
Author(s):  
Ada Admin ◽  
Tiange Sun ◽  
Fanhua Meng ◽  
Hongmei Zhao ◽  
Min Yang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Blood Cell ◽  
Gestational Diabetes Mellitus ◽  
Neutrophil Count ◽  
Pregnancy Outcomes ◽  
First Trimester ◽  
Adverse Pregnancy Outcomes ◽  
Newborn Weight ◽  
Adverse Pregnancy

Chronic low-grade inflammation plays a central role in the pathophysiology of gestational diabetes mellitus (GDM). In order to investigate the ability of different <a></a><a>inflammatory blood cell parameters</a> in predicting the development of GDM and pregnancy outcomes, 258 women with GDM and 1154 women without were included in this retrospective study. First-trimester neutrophil count outperformed white blood cell (WBC) count, and neutrophil-to-lymphocyte ratio (NLR) in the predictability for GDM. Subjects were grouped based on tertiles of neutrophil count during their first-trimester pregnancy. The results showed that as the neutrophil count increased, there was a step-wise increase in GDM incidence, as well as glucose and glycosylated hemoglobin (HbA1c) level, Homeostasis Model Assessment for Insulin Resistance (HOMA-IR), macrosomia incidence and newborn weight. Neutrophil count was positively associated with pre-pregnancy Body Mass Index (BMI), HOMA-IR and newborn weight. Additionally, neutrophil count was an independent risk factor for the development of GDM, regardless of the history of GDM. Spline regression showed that there was a significant linear association between GDM incidence and continuous neutrophil count when it exceeded 5.0 × 10<sup>9</sup>/L. This work suggested that first-trimester neutrophil count is closely associated with the development of GDM and adverse pregnancy outcomes.

scholarly journals Elevated First-Trimester Neutrophil Count Is Closely Associated with the Development of Maternal Gestational Diabetes Mellitus and Adverse Pregnancy Outcomes

2020 ◽  
Author(s):  
Ada Admin ◽  
Tiange Sun ◽  
Fanhua Meng ◽  
Hongmei Zhao ◽  
Min Yang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Blood Cell ◽  
Gestational Diabetes Mellitus ◽  
Neutrophil Count ◽  
Pregnancy Outcomes ◽  
First Trimester ◽  
Adverse Pregnancy Outcomes ◽  
Newborn Weight ◽  
Adverse Pregnancy

Chronic low-grade inflammation plays a central role in the pathophysiology of gestational diabetes mellitus (GDM). In order to investigate the ability of different <a></a><a>inflammatory blood cell parameters</a> in predicting the development of GDM and pregnancy outcomes, 258 women with GDM and 1154 women without were included in this retrospective study. First-trimester neutrophil count outperformed white blood cell (WBC) count, and neutrophil-to-lymphocyte ratio (NLR) in the predictability for GDM. Subjects were grouped based on tertiles of neutrophil count during their first-trimester pregnancy. The results showed that as the neutrophil count increased, there was a step-wise increase in GDM incidence, as well as glucose and glycosylated hemoglobin (HbA1c) level, Homeostasis Model Assessment for Insulin Resistance (HOMA-IR), macrosomia incidence and newborn weight. Neutrophil count was positively associated with pre-pregnancy Body Mass Index (BMI), HOMA-IR and newborn weight. Additionally, neutrophil count was an independent risk factor for the development of GDM, regardless of the history of GDM. Spline regression showed that there was a significant linear association between GDM incidence and continuous neutrophil count when it exceeded 5.0 × 10<sup>9</sup>/L. This work suggested that first-trimester neutrophil count is closely associated with the development of GDM and adverse pregnancy outcomes.

scholarly journals First-trimester fasting plasma glucose as a predictor of gestational diabetes mellitus and the association with adverse pregnancy outcomes

2019 ◽  
Vol 35 (1) ◽  
Author(s):  
Ping LI ◽  
Shuo Lin ◽  
Ling Li ◽  
Jinhui Cui ◽  
Shuisheng Zhou ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Pregnancy Outcomes ◽  
First Trimester ◽  
Adverse Pregnancy Outcomes ◽  
Fasting Plasma ◽  
Adverse Pregnancy

Objective: To evaluate the usefulness of a fasting plasma glucose (FPG) at the first trimester in predicting gestational diabetes mellitus (GDM) and the association between FPG and adverse pregnancy outcomes. Methods: The levels of FPG in women with singleton pregnancies were measured at 9-13+6 weeks. A two hour 75-g oral glucose tolerance test (OGTT) was completed at 24-28 weeks and the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria was used. Adverse pregnancy outcomes were assessed and recorded. Results: Among 2112 pregnant women enrolled in the study, 224 (10.6%) subjects were diagnosed with GDM. The AUC for FPG in predicting GDM was 0.63 (95% CI 0.61- 0.65) and the optimal cutoff value was 4.5 mmol/L (sensitivity 64.29% and specificity 56.45%). Higher first-trimester FPG increased the prevalence of GDM, large for gestational age (LGA) and assisted vaginal delivery and/or cesarean section (all P < 0.05). Conclusion: FPG at first trimester could be used to predict GDM and higher first-trimester FPG was associated with adverse pregnancy outcomes. How to cite this:Li P, Lin S, Li L, Cui J, Zhou S, Fan J. First-trimester fasting plasma glucose as a predictor of gestational diabetes mellitus and the association with adverse pregnancy outcomes. Pak J Med Sci. 2019;35(1):---------. doi: https://doi.org/10.12669/pjms.35.1.216 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Fasting plasma glucose in the first trimester is related to Gestational Diabetes Mellitus and adverse pregnancy outcomes

2021 ◽  
Author(s):  
Jia-Ning Tong ◽  
Lin-Lin Wu ◽  
Yi-Xuan Chen ◽  
Xiao-Nian Guan ◽  
Fu-Ying Tian ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Cesarean Section ◽  
Gestational Diabetes Mellitus ◽  
Plasma Glucose ◽  
Pregnancy Outcomes ◽  
First Trimester ◽  
Adverse Pregnancy Outcomes ◽  
Curve Analysis ◽  
Adverse Pregnancy

Abstract PurposeTo investigate and identify first-trimester fasting plasma glucose (FPG) is related to gestational diabetes mellitus (GDM) and other adverse pregnancy outcomes in Shenzhen population.MethodsWe used data of 48,444 pregnant women that had been retrospectively collected between 2017 and 2019. Logistic regression analysis was used to evaluated the associations between first-trimester FPG and GDM and adverse pregnancy outcomes, and used to construct a nomogram model for predicting the risk of GDM. The performance of the nomogram was evaluated by using ROC and calibration curves. Decision curve analysis (DCA) was used to determine the clinical usefulness of the first-trimester FPG by quantifying the net benefits at different threshold probabilities.ResultsThe mean first-trimester FPG was 4.62±0.42 mmol/L. A total of 6998(14.4%) pregnancies developed GDM.489(1.01%) pregnancies developed polyhydramnios, the prevalence rates of gestational hypertensive disorder (GHD), cesarean section, primary cesarean section, preterm delivery before 37 weeks (PD) and dystocia was 1130(2.33%), 20426(42.16%), 7237(14.94%), 2386(4.93%) and 1865(3.85%), respectively. 4233(8.74%) of the newborns were LGA, and the number of macrosomia was 2272(4.69%), LBW was 1701(3.51%) and 5084(10.49%) newborns had admission to the ICU, which all showed significances between GDM and non-GDM groups (all P<0.05). The univariate analysis showed that first-trimester FPG was strongly associated with risks of outcomes including GDM, cesarean section, macrosomia, GHD, primary cesarean section and LGA (all OR>1, all P<0.05), furthermore, the risks of GDM, primary cesarean section and LGA was increasing with first-trimester FPG as early as it was at 4.19-4.63 mmol/L. The multivariable analysis showed that the risks of GDM (ORs for FPG 4.19-4.63, 4.63-5.11 and 5.11-7.0 mmol/L were 1.137, 1.592 and 4.031, respectively, all P <0.05) increased as early as first-trimester FPG was at 4.19-4.63 mmol/L,and first-trimester FPG which was also associated with the risks of cesarean section, macrosomia and LGA (OR for FPG 5.11-7.0 mmol/L of cesarean section: 1.128; OR for FPG 5.11-7.0 mmol/L of macrosomia: 1.561; OR for FPG 4.63-5.11 and 5.11-7.0 mmol/L of LGA: 1.149 and 1.426, respectively, all P <0.05) and with its increasing, the risks of LGA increased. Furthermore, the nomogram had a C-indices 0.771(95%CI: 0.763~0.779) and 0.770(95%CI:0.758~0.781) in training and testing validation respectively, which showed an acceptable consistency between the observed, validation and nomogram-predicted probabilities, the DAC curve analysis indicated that the nomogram had important clinical application value for GDM risk prediction.ConclusionsFPG in the first trimester was an independent risk factor for GDM which can be used as a screening test for identifying pregnancies at risk of GDM and adverse pregnancy outcomes.

scholarly journals Fasting plasma glucose in the first trimester is related to gestational diabetes mellitus and adverse pregnancy outcomes

Endocrine ◽  
2021 ◽  
Author(s):  
Jia-Ning Tong ◽  
Lin-Lin Wu ◽  
Yi-Xuan Chen ◽  
Xiao-Nian Guan ◽  
Fu-Ying Tian ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Cesarean Section ◽  
Gestational Diabetes Mellitus ◽  
Plasma Glucose ◽  
Pregnancy Outcomes ◽  
First Trimester ◽  
Adverse Pregnancy Outcomes ◽  
Curve Analysis ◽  
Adverse Pregnancy

Abstract Purpose To investigate and identify first-trimester fasting plasma glucose (FPG) is related to gestational diabetes mellitus (GDM) and other adverse pregnancy outcomes in Shenzhen population. Methods We used data of 48,444 pregnant women that had been retrospectively collected between 2017 and 2019. Logistic regression analysis was used to evaluated the associations between first-trimester FPG and GDM and adverse pregnancy outcomes, and used to construct a nomogram model for predicting the risk of GDM. The performance of the nomogram was evaluated by using ROC and calibration curves. Decision curve analysis (DCA) was used to determine the clinical usefulness of the first-trimester FPG by quantifying the net benefits at different threshold probabilities. Results The mean first-trimester FPG was 4.62 ± 0.42 mmol/L. A total of 6998 (14.4%) pregnancies developed GDM.489(1.01%) pregnancies developed polyhydramnios, the prevalence rates of gestational hypertensive disorder (GHD), cesarean section, primary cesarean section, preterm delivery before 37 weeks (PD) and dystocia was 1130 (2.33%), 20,426 (42.16%), 7237 (14.94%), 2386 (4.93%), and 1865 (3.85%), respectively. 4233 (8.74%) of the newborns were LGA, and the number of macrosomia was 2272 (4.69%), LBW was 1701 (3.51%) and 5084 (10.49%) newborns had admission to the ICU, which all showed significances between GDM and non-GDM groups (all P < 0.05). The univariate analysis showed that first-trimester FPG was strongly associated with risks of outcomes including GDM, cesarean section, macrosomia, GHD, primary cesarean section, and LGA (all OR > 1, all P < 0.05), furthermore, the risks of GDM, primary cesarean section, and LGA was increasing with first-trimester FPG as early as it was at 4.19–4.63 mmol/L. The multivariable analysis showed that the risks of GDM (ORs for FPG 4.19–4.63, 4.63–5.11 and 5.11–7.0 mmol/L were 1.137, 1.592, and 4.031, respectively, all P < 0.05) increased as early as first-trimester FPG was at 4.19–4.63 mmol/L, and first-trimester FPG which was also associated with the risks of cesarean section, macrosomia and LGA (OR for FPG 5.11–7.0 mmol/L of cesarean section: 1.128; OR for FPG 5.11–7.0 mmol/L of macrosomia: 1.561; OR for FPG 4.63–5.11 and 5.11–7.0 mmol/L of LGA: 1.149 and 1.426, respectively, all P < 0.05) and with its increasing, the risks of LGA increased. Furthermore, the nomogram had a C-indices 0.771(95% CI: 0.763~0.779) and 0.770(95% CI:0.758~0.781) in training and testing validation respectively, which showed an acceptable consistency between the observed, validation and nomogram-predicted probabilities, the DAC curve analysis indicated that the nomogram had important clinical application value for GDM risk prediction. Conclusions FPG in the first trimester was an independent risk factor for GDM which can be used as a screening test for identifying pregnancies at risk of GDM and adverse pregnancy outcomes.

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