Literature DB >> 25530599

Temporal trends in maternal medical conditions and stillbirth.

Emily M Patel1, William H Goodnight2, Andra H James1, Chad A Grotegut3.   

Abstract

OBJECTIVE: The objective of this study was to estimate the prevalence and temporal trends of medical conditions among women with stillbirth and to determine the effect of medical comorbidities on the trend of stillbirth. STUDY
DESIGN: The Nationwide Inpatient Sample (NIS) for the years 2008-2010 was first queried for all delivery-related discharges. A multivariable logistic regression model was constructed with adjusted odds ratios (ORs) and 95% confidence intervals (CIs) calculated for medical conditions among women with stillbirth. The NIS was then queried for the years 2000-2010, and the effect of maternal medical conditions on the stillbirth rate was estimated.
RESULTS: From 2008 to 2010, there were 51,080 deliveries to women with stillbirth, giving a rate of 4.08 per 1000 live births. Women with stillbirth were more likely to be African American (OR, 2.12; 95% CI, 2.07-2.17), with an age less than 25 years (OR, 1.19; 95% CI, 1.16-1.22) or older than 35 years (OR, 1.40; 95% CI, 1.37-1.44) compared with women without stillbirth. Medical conditions such as cardiac, rheumatological, and renal disorders; hypertension; diabetes; thrombophilia; and drug, alcohol and tobacco use, were independent predictors of fetal demise in multivariable logistic regression modeling. From 2000 to 2010, despite an increase in the total number of births to women with comorbidities, there was a significant decrease in the stillbirth rate, which was more pronounced among women with comorbidities compared with women without comorbidities (P=.021).
CONCLUSION: From 2000 to 2010, there was a significantly greater decrease in the stillbirth rate among women with maternal medical conditions than there was among women without comorbidities. These findings occurred despite an overall increase in the number of pregnancies to women with medical comorbidities over the time period. Because the NIS does not include information on gestational age, birthweight, or whether subjects had antepartum testing, we are not able to determine the effect of these variables on the observed outcomes.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  nationwide inpatient sample; pregnancy; risk factors; stillbirth

Mesh:

Year:  2014        PMID: 25530599     DOI: 10.1016/j.ajog.2014.12.021

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  6 in total

1.  Pre-Pregnancy Hypertension Among Women in Rural and Urban Areas of the United States.

Authors:  Natalie A Cameron; Rebecca Molsberry; Jacob B Pierce; Amanda M Perak; William A Grobman; Norrina B Allen; Philip Greenland; Donald M Lloyd-Jones; Sadiya S Khan
Journal:  J Am Coll Cardiol       Date:  2020-11-09       Impact factor: 24.094

Review 2.  Investigating Mechanisms of Stillbirth in the Setting of Prenatal Substance Use.

Authors:  Corrie B Miller; Tricia Wright
Journal:  Acad Forensic Pathol       Date:  2018-12-19

3.  The Impact of Severe Maternal Morbidity on Perinatal Outcomes in High Income Countries: Systematic Review and Meta-Analysis.

Authors:  Tesfaye S Mengistu; Jessica M Turner; Christopher Flatley; Jane Fox; Sailesh Kumar
Journal:  J Clin Med       Date:  2020-06-29       Impact factor: 4.241

4.  HIV-Positive and HIV-Negative Women with Medicaid Have Similar Rates of Stillbirth and Preterm Birth.

Authors:  Kathryn D Thompson; David J Meyers; Yoojin Lee; Susan Cu-Uvin; Ira B Wilson
Journal:  Womens Health Rep (New Rochelle)       Date:  2022-01-04

5.  Temporal trends in stillbirth over eight decades in England and Wales: A longitudinal analysis of over 56 million births and lives saved by improvements in maternity care.

Authors:  Gbenga A Kayode; Andrew Judge; Christy Burden; Cathy Winter; Tim Draycott; Basky Thilaganathan; Erik Lenguerrand
Journal:  J Glob Health       Date:  2022-09-17       Impact factor: 7.664

6.  Quantitative assessment of the effect of pre-gestational diabetes and risk of adverse maternal, perinatal and neonatal outcomes.

Authors:  Lei Yu; Xiao-Ling Zeng; Ming-Liang Cheng; Guo-Zhen Yang; Bi Wang; Zi-Wen Xiao; Xin Luo; Bao-Fang Zhang; De-Wei Xiao; Shuai Zhang; Hua-Juan Liu; Ya-Xin Hu; Hou-Kang Lei; Qin-Fen Li; Zheng-Rong Wang
Journal:  Oncotarget       Date:  2017-05-11
  6 in total

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