Frequency of and factors associated with severe maternal morbidity.

Obstet Gynecol

Departments of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois, Case Western Reserve University-MetroHealth Medical Center, Cleveland, Ohio, Columbia University, New York, New York, the University of Utah Health Sciences Center, Salt Lake City, Utah, the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, the University of Texas Southwestern Medical Center, Dallas, Texas, the University of Pittsburgh, Pittsburgh, Pennsylvania, The Ohio State University, Columbus, Ohio, the University of Alabama at Birmingham, Birmingham, Alabama, the University of Texas Medical Branch, Galveston, Texas, Wayne State University, Detroit, Michigan, Brown University, Providence, Rhode Island, the University of Texas Health Science Center at Houston-Children's Memorial Hermann Hospital, Houston, Texas, Oregon Health & Science University, Portland, Oregon, and the Medical University of South Carolina, Charleston, South Carolina; the George Washington University Biostatistics Center, Washington, DC; and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.

Published: April 2014

Objective: To estimate the frequency of severe maternal morbidity, assess its underlying etiologies, and develop a scoring system to predict its occurrence.Supplemental Digital Content is Available in the Text.

Methods: This was a secondary analysis of a Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network cohort of 115,502 women and their neonates born in 25 hospitals across the United States over a 3-year period. Women were classified as having severe maternal morbidity according to a scoring system that takes into account the occurrence of red blood cell transfusion (more than three units), intubation, unanticipated surgical intervention, organ failure, and intensive care unit admission. The frequency of severe maternal morbidity was calculated and the underlying etiologies determined. Multivariable analysis identified patient factors present on admission that were independently associated with severe maternal morbidity; these were used to develop a prediction model for severe maternal morbidity.

Results: Among 115,502 women who delivered during the study period, 332 (2.9/1,000 births, 95% confidence interval 2.6-3.2) experienced severe maternal morbidity. Postpartum hemorrhage was responsible for approximately half of severe maternal morbidity. Multiple patient factors were found to be independently associated with severe maternal morbidity and were used to develop a predictive model with an area under the receiver operating characteristic curve of 0.80.

Conclusion: Severe maternal morbidity occurs in approximately 2.9 per 1,000 births, is most commonly the result of postpartum hemorrhage, and occurs more commonly in association with several identifiable patient characteristics.

Level Of Evidence: : II.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4116103PMC
http://dx.doi.org/10.1097/AOG.0000000000000173DOI Listing

Publication Analysis

Top Keywords

severe maternal
40
maternal morbidity
36
associated severe
12
severe
10
maternal
10
morbidity
9
frequency severe
8
underlying etiologies
8
scoring system
8
115502 women
8

Similar Publications

Objectives: To develop and validate a nomogram to predict severe postpartum hemorrhage following cesarean delivery.

Methods: This is a two-center retrospective cohort study. Cesarean delivery patients from the First Affiliate Hospital of Jinan University were divided into a development cohort (n = 11 137) and an internal validation cohort (n = 4739).

View Article and Find Full Text PDF

Undernutrition has been identified as a significant public health challenge in developing nations like Tanzania. Severe childhood undernutrition is a life-threatening problem that can result in impaired growth, weakened immune systems, and even death. The primary aim of this study was to identify the prevalence of multiple forms of severe undernutrition and factors associated with the severity of childhood undernutrition in children aged 6-59 months in Tanzania.

View Article and Find Full Text PDF

This systematic review aimed to explore the efficacy of both pharmacological and non-pharmacological interventions in managing hypertension during pregnancy. It analyzed high-quality randomized controlled trials (RCTs), focusing on outcomes related to maternal and fetal health. The findings demonstrated that antihypertensive medications, particularly labetalol and nifedipine, effectively reduced the risks of severe preeclampsia (PE), preterm birth, and other complications.

View Article and Find Full Text PDF

Endometriosis is a chronic, inflammatory disease characterized by the presence of endometrial-like tissue outside the uterus, affecting women of reproductive age. It is linked with debilitating pain, infertility, and a notable impact on the patient's quality of life. This review aims to highlight the effectiveness of hormonal therapy, surgical procedures, and complementary therapies in managing endometriosis-related pain, providing a comprehensive overview of current treatment options and their implications for clinical practice.

View Article and Find Full Text PDF

Hyperemesis gravidarum (HG) is a severe condition marked by intense nausea and vomiting during pregnancy, which is different from typical morning sickness. It is marked by weight loss exceeding 5% of pre-pregnancy weight, ketonuria, dehydration, electrolyte imbalances, and in some cases, arrhythmias - primarily linked to electrolyte disturbances. Treatment typically involves conservative measures such as small, bland meals, medications like metoclopramide and ondansetron, and correction of electrolyte abnormalities.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!