Maternal fat ultrasound measurement and nutritional assessment during pregnancy: A dataset centered in gestational outcomes
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This dataset was collected as part of a prospective study in which abdominal
maternal fat tissue ~~s~~ ultrasound measurements were compared with outcomes
during hospitalization for labor and delivery. Data was collected in a low-
risk outpatient clinic from October 2016 to December 2017 in Porto Alegre,
Brazil. Of the 272 patients initially included, 61 (22%) were lost to follow-
up, resulting in a final sample of 211 cases.
At baseline, a routine obstetric ultrasound was performed with a maternal
epigastric fat measurement conducted in all included cases. Two assessments
were performed: the epigastric maternal visceral adipose tissue (preperitoneal
m-VAT) and the epigastric maternal subcutaneous adipose tissue (preperitoneal
m-SAT). Cases included before 20 weeks had an additional periumbilical fat
assessment performed; this included: the periumbilical maternal visceral
adipose tissue (periumbilical m-VAT) and the periumbilical maternal
subcutaneous adipose tissue (periumbilical m-SAT). Data regarding
anthropometric, nutritional and demographic characteristics were assessed at
baseline. Pregnancy outcomes were determined through hospital charts in order
to establish pregnancy, labor and newborn conditions.
The dataset has 116 variables that include demographic, ultrasound,
nutritional and laboratory characteristics measured at baseline. Likewise, it
presents data related to the birth process and newborn conditions during the
postpartum period. The pregnancy abnormalities data obtained retrospectively
are highlighted. The dataset may be helpful for future studies that seek to
assess the predictive capacity of maternal abdominal fat for abnormal
pregnancy outcomes.
提供机构:
PhysioNet
创建时间:
2020-10-22



