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Prediction of uncomplicated pregnancies in obese women: a prospective multicentre study

Overview of attention for article published in BMC Medicine, November 2017
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 policy source
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6 X users

Citations

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15 Dimensions

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178 Mendeley
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Title
Prediction of uncomplicated pregnancies in obese women: a prospective multicentre study
Published in
BMC Medicine, November 2017
DOI 10.1186/s12916-017-0956-8
Pubmed ID
Authors

Matias C. Vieira, Sara L. White, Nashita Patel, Paul T. Seed, Annette L. Briley, Jane Sandall, Paul Welsh, Naveed Sattar, Scott M. Nelson, Debbie A. Lawlor, Lucilla Poston, Dharmintra Pasupathy, on behalf of the UPBEAT Consortium

Abstract

All obese pregnant women are considered at equal high risk with respect to complications in pregnancy and birth, and are commonly managed through resource-intensive care pathways. However, the identification of maternal characteristics associated with normal pregnancy outcomes could assist in the management of these pregnancies. The present study aims to identify the factors associated with uncomplicated pregnancy and birth in obese women, and to assess their predictive performance. Data form obese women (BMI ≥ 30 kg/m(2)) with singleton pregnancies included in the UPBEAT trial were used in this analysis. Multivariable logistic regression was used to identify sociodemographic, clinical and biochemical factors at 15(+0) to 18(+6) weeks' gestation associated with uncomplicated pregnancy and birth, defined as delivery of a term live-born infant without antenatal or labour complications. Predictive performance was assessed using area under the receiver operating characteristic curve (AUROC). Internal validation and calibration were also performed. Women were divided into fifths of risk and pregnancy outcomes were compared between groups. Sensitivity, specificity, and positive and negative predictive values were calculated using the upper fifth as the positive screening group. Amongst 1409 participants (BMI 36.4, SD 4.8 kg/m(2)), the prevalence of uncomplicated pregnancy and birth was 36% (505/1409). Multiparity and increased plasma adiponectin, maternal age, systolic blood pressure and HbA1c were independently associated with uncomplicated pregnancy and birth. These factors achieved an AUROC of 0.72 (0.68-0.76) and the model was well calibrated. Prevalence of gestational diabetes, preeclampsia and other hypertensive disorders, preterm birth, and postpartum haemorrhage decreased whereas spontaneous vaginal delivery increased across the fifths of increasing predicted risk of uncomplicated pregnancy and birth. Sensitivity, specificity, and positive and negative predictive values were 38%, 89%, 63% and 74%, respectively. A simpler model including clinical factors only (no biomarkers) achieved an AUROC of 0.68 (0.65-0.71), with sensitivity, specificity, and positive and negative predictive values of 31%, 86%, 56% and 69%, respectively. Clinical factors and biomarkers can be used to help stratify pregnancy and delivery risk amongst obese pregnant women. Further studies are needed to explore alternative pathways of care for obese women demonstrating different risk profiles for uncomplicated pregnancy and birth.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 178 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 13%
Student > Master 22 12%
Researcher 19 11%
Student > Ph. D. Student 11 6%
Student > Doctoral Student 8 4%
Other 24 13%
Unknown 70 39%
Readers by discipline Count As %
Medicine and Dentistry 53 30%
Nursing and Health Professions 22 12%
Biochemistry, Genetics and Molecular Biology 4 2%
Agricultural and Biological Sciences 3 2%
Psychology 3 2%
Other 16 9%
Unknown 77 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 May 2021.
All research outputs
#6,526,614
of 24,717,692 outputs
Outputs from BMC Medicine
#2,533
of 3,823 outputs
Outputs of similar age
#99,864
of 335,003 outputs
Outputs of similar age from BMC Medicine
#27
of 47 outputs
Altmetric has tracked 24,717,692 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,823 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.8. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.