Maternal super-obesity

Hartge, D.R.; Spiegler, Juliane; Schroeer, A.; Deckwart, V.; Weichert, J.

doi:10.1007/s00404-015-3921-9

Cited by 19 publications

(27 citation statements)

References 25 publications

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“…With over 99% complete data on maternal BMI over a six‐year period, our study is the first contemporary Australian study to report on the prevalence and outcomes of severe maternal obesity in a non‐tertiary hospital. Our study confirms that obesity is common among Australian obstetric patients and that increasing BMI is linked to a number of pregnancy and neonatal complications . It also provides point estimates of these complications for the severely obese obstetric patient delivering in a non‐tertiary hospital.…”

Section: Discussionsupporting

confidence: 78%

“…The prevalence of BMI ≥50 kg/m 2 in this study (0.5%) lies within the range reported elsewhere in international studies, 0.06–2.2% . However, due to methodological differences, care needs to be taken when comparing these results.…”

Section: Discussionsupporting

confidence: 76%

“…On a national level, the prevalence of obesity has risen over the past decades and it is now estimated that one in five women giving birth in Australia is obese . Obese women are well recognised to be at increased risk of a number of obstetric complications and interventions . Of particular concern is the increase in the prevalence of severe, class III obesity (body mass index (BMI) ≥40 kg/m 2 ) in pregnant women …”

Section: Introductionmentioning

confidence: 99%

“…Despite this growth in severe obesity, limited data exist for the maternal prevalence and obstetric outcomes for Australian women, particularly for those with BMI >50 kg/m 2 . In international literature, maternal BMI ≥50 kg/m 2 has been reported at rates of 0.06–2.2% . An Australian surveillance study in 2010 estimated that approximately one in 500 pregnant women had a BMI >50 kg/m 2 and/or weight >140 kg .…”

Section: Introductionmentioning

confidence: 99%

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Maternal and perinatal outcomes for women with body mass index ≥50 kg/m² in a non‐tertiary hospital setting

Pratt

Howat

Hui

2019

Aust NZ J Obst Gynaeco

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Background: Obesity is prevalent in the Australian antenatal population, but there are scarce data on the prevalence and associated outcomes of body mass index (BMI) ≥50 kg/m 2 . Aims: To examine the prevalence and outcomes for women with BMI ≥50 kg/m 2 delivering in a non-tertiary hospital. Materials and Methods:Retrospective cohort study of women delivering a singleton pregnancy in a non-tertiary Victorian hospital during 2011-2016. Women >180 kg were excluded as their care was managed in a tertiary centre. Maternal and perinatal outcomes were analysed by BMI group. Statistical analysis was performed using χ 2 , Kruskal-Wallis and logistic regression with a significance level of 0.05. Results:Of the 18 518 births between 2011 and 2016, 99.4% had a maternal BMI recorded. The prevalence of BMI ≥50 kg/m 2 was 0.5%. Highest complication rates were observed among women with BMI ≥50 kg/m 2 , including gestational diabetes (29%), hypertensive disorders of pregnancy (20%) and caesarean section (48%). Of infants born to women with BMI ≥50 kg/m 2 , 12% were late-pre-term, 23% required special or intensive care and 20% had birth weight ≥4.0 kg. When compared with obese women with BMI 30-49 kg/m 2 , women with BMI ≥50 kg/m 2 were significantly more likely to develop a hypertensive disorder of pregnancy (preeclampsia adjusted odds ratio (aOR) 3.98 (1.93-8.18), pregnancy-induced hypertension aOR 3.55 (1.79-7.03)) and deliver a late pre-term infant (aOR 2.45 (1.31-4.58)). Conclusions:The prevalence of severe maternal obesity in our non-tertiary setting is higher than previous national estimates. Women with BMI ≥50 kg/m 2 are an important subgroup of the obese obstetric population who experience high rates of complications and interventions. Health services need to respond to evolving needs of the antenatal population to achieve the best outcomes for mothers and babies. K E Y W O R D SBMI, maternal obesity, maternal outcomes, perinatal outcomes, severe obesity SUPPORTING INFORMATIONAdditional supporting information may be found online in the Supporting Information section at the end of the article. Table S1. Listed categories of indications for induction of labour.

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Section: Discussionsupporting

confidence: 78%

Section: Discussionsupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Maternal and perinatal outcomes for women with body mass index ≥50 kg/m² in a non‐tertiary hospital setting

Pratt

Howat

Hui

2019

Aust NZ J Obst Gynaeco

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“…Compelling clinical data have demonstrated that maternal obesity closely associates with neonatal hypoglycemia (1)(2)(3)(4)(5)(6)(7). Most importantly, maternal BMI predicts neonatal hypoglycemia independent of maternal glucose concentrations, indicating that maternal obesity itself imposes a major risk for neonatal hypoglycemia (1,8,9).…”

mentioning

confidence: 99%

Prolonged prepregnant maternal high-fat feeding reduces fetal and neonatal blood glucose concentrations by enhancing fetal β-cell development in C57BL/6 mice

Qiao¹,

Js²,

L³

et al. 2020

ESPE

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Accuracy and Completion Rate of the Fetal Anatomic Survey in the Super Obese Parturient

Simmons

Wendel

Whittington

et al. 2020

J of Ultrasound Medicine

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Objective To determine the completion rate of ultrasound in with a body mass index (BMI) ≥ 50 to women with BMI 18.5 to 29.9. Study Design This study was a retrospective cohort study. Women with a singleton pregnancy, age 18 to 45 with a BMI ≥50 that delivered between 2013–2016 were compared to women with a BMI 18.5 to 29.9 during that same time period to assess the accuracy and, as a second aim, the completion rate of the fetal anatomic survey. Data were analyzed using two‐sample t test, chi‐square test, or logistic regression as appropriate. Results Eighty‐one cases with a BMI ≥50 were compared with 81 patients with a BMI 18.5 to 29.9. Maternal demographics and timing (gestational age) at the time of the ultrasound were similar between groups. In women with a BMI 18.5 to 29.9, completion of anatomy was 58% of the time with the first ultrasound, 81% with second ultrasound, and 84% with the third ultrasound. In women with BMI ≥50, completion of anatomy was 10% of the time with the first ultrasound, 33% with the second ultrasound, and 42% with the third ultrasound. Each time frame was statistically significant. Agreement level on the accuracy to detect fetal anomalies between groups were not statistically significant between the groups. Conclusion In women with a BMI ≥50 compared to women with BMI of 18.8 to 29.9, more ultrasounds are needed to complete the anatomic survey although overall accuracy in fetal anomaly detection is similar.

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Maternal super-obesity

Cited by 19 publications

References 25 publications

Maternal and perinatal outcomes for women with body mass index ≥50 kg/m² in a non‐tertiary hospital setting

Maternal and perinatal outcomes for women with body mass index ≥50 kg/m² in a non‐tertiary hospital setting

Prolonged prepregnant maternal high-fat feeding reduces fetal and neonatal blood glucose concentrations by enhancing fetal β-cell development in C57BL/6 mice

Accuracy and Completion Rate of the Fetal Anatomic Survey in the Super Obese Parturient

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Maternal super-obesity

Cited by 19 publications

References 25 publications

Maternal and perinatal outcomes for women with body mass index ≥50 kg/m2 in a non‐tertiary hospital setting

Maternal and perinatal outcomes for women with body mass index ≥50 kg/m2 in a non‐tertiary hospital setting

Prolonged prepregnant maternal high-fat feeding reduces fetal and neonatal blood glucose concentrations by enhancing fetal β-cell development in C57BL/6 mice

Accuracy and Completion Rate of the Fetal Anatomic Survey in the Super Obese Parturient

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Maternal and perinatal outcomes for women with body mass index ≥50 kg/m² in a non‐tertiary hospital setting

Maternal and perinatal outcomes for women with body mass index ≥50 kg/m² in a non‐tertiary hospital setting