First-Trimester Maternal Serum C-reactive Protein as a Predictor of Third-Trimester Impaired Glucose Tolerance

Berggren, Erica K.; Roeder, Hilary; Boggess, Kim; Moss, Kevin; Offenbacher, Steven; Campbell, E L P; Grotegut, Chad A.

doi:10.1177/1933719114532843

Cited by 17 publications

(12 citation statements)

References 15 publications

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“…There are publications that support this association in pregnancies that go on to be affected by GDM, although this may not remain significant once maternal obesity has been adjusted for [105]. In a series of 300 pregnancies with a 13% prevalence of GDM, Berggren et al (2014) log 10 highsensitivity C-reactive protein (hsCRP) was significantly increased, but became non-significant after adjustment for body mass index (BMI) [106]. A similar finding was reported in a second series, although a significant elevation in tumour necrosis factor alpha (TNFa) remains after accounting for BMI [107].…”

Section: Prediction and Prevention Of Gdmmentioning

confidence: 82%

The first trimester: Prediction and prevention of the great obstetrical syndromes

Sweeting

Park

Hyett

2015

Best Practice & Research Clinical Obstetrics & Gynaecol

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Section: Prediction and Prevention Of Gdmmentioning

confidence: 82%

The first trimester: Prediction and prevention of the great obstetrical syndromes

Sweeting

Park

Hyett

2015

Best Practice & Research Clinical Obstetrics & Gynaecol

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“…However, some studies have contradicted the role of NLR in the prediction of GDM risk 21,23 . Berggren et al conducted a prospective nested case-control study 24 on women < 14 weeks pregnant. They showed that the hsCRP level of the pregnant women with abnormal glucose tolerance was higher than that of the pregnant women with normal blood glucose A vertical line was drawn from that value to the top points scale to determine the number of points that were assigned by that variable value.…”

Section: Discussionmentioning

confidence: 99%

Risk prediction model of gestational diabetes mellitus based on nomogram in a Chinese population cohort study

Zhang

Zhao

Huo

et al. 2020

Sci Rep

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To build a risk prediction model of gestational diabetes mellitus using nomogram to provide a simple-to-use clinical basis for the early prediction of gestational diabetes mellitus (GDM). This study is a prospective cohort study including 1385 pregnant women. (1) It is showed that the risk of GDM in women aged ≥ 35 years was 5.5 times higher than that in women aged < 25 years (95% CI: 1.27–23.73, p < 0.05). In the first trimester, the risk of GDM in women with abnormal triglyceride who were in their first trimester was 2.1 times higher than that of lipid normal women (95% CI: 1.12–3.91, p < 0.05). The area under the ROC curve of the nomogram of was 0.728 (95% CI: 0.683–0.772), the sensitivity and specificity of the model were 0.716 and 0.652, respectively. This study provides a simple and economic nomogram for the early prediction of GDM risk in the first trimester, and it has certain accuracy.

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“…Berggren and coworkers evaluated whether first-trimester hsCRP was predictive for third-trimester impaired glucose tolerance (IGT). hsCRP was positively associated with IGT, but, again, the association disappeared when adjusted for BMI ( 80 ). Thus far, the positive association of (hs)CRP and GD seems to be in part mediated by BMI.…”

Section: Other Inflammatory Mediatorsmentioning

confidence: 99%

The potential role of biomarkers in predicting gestational diabetes

Brink

Lely²,

Linden

2016

Endocrine Connections

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Gestational diabetes (GD) is a frequent complication during pregnancy and is associated with maternal and neonatal complications. It is suggested that a disturbing environment for the foetus, such as impaired glucose metabolism during intrauterine life, may result in enduring epigenetic changes leading to increased disease risk in adult life. Hence, early prediction of GD is vital. Current risk prediction models are based on maternal and clinical parameters, lacking a strong predictive value. Adipokines are mainly produced by adipocytes and suggested to be a link between obesity and its cardiovascular complications. Various adipokines, including adiponectin, leptin and TNF&, have shown to be dysregulated in GD. This review aims to outline biomarkers potentially associated with the pathophysiology of GD and discuss the role of integrating predictive biomarkers in current clinical risk prediction models, in order to enhance the identification of those at risk.

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First-Trimester Maternal Serum C-reactive Protein as a Predictor of Third-Trimester Impaired Glucose Tolerance

Abstract: Early identification of women at risk of IGT remains a priority, but the contribution of maternal BMI appears greater than hsCRP.

Cited by 17 publications

References 15 publications

The first trimester: Prediction and prevention of the great obstetrical syndromes

The first trimester: Prediction and prevention of the great obstetrical syndromes

Risk prediction model of gestational diabetes mellitus based on nomogram in a Chinese population cohort study

The potential role of biomarkers in predicting gestational diabetes

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