Literature DB >> 27751799

Performance of the Obstetric Early Warning Score in critically ill patients for the prediction of maternal death.

Angel Paternina-Caicedo1, Jezid Miranda2, Ghada Bourjeily3, Andrew Levinson3, Carmelo Dueñas4, Camilo Bello-Muñoz1, José A Rojas-Suarez5.   

Abstract

BACKGROUND: Every day, about 830 women die worldwide from preventable causes related to pregnancy and childbirth. Obstetric early warning scores have been proposed as a potential tool to reduce maternal morbidity and mortality, based on the identification of predetermined abnormal values in the vital signs or laboratory parameters, to generate a rapid and effective medical response. Several early warning scores have been developed for obstetrical patients, but the majority are the result of a clinical consensus rather than statistical analyses of clinical outcome measures (ie, maternal deaths). In 2013, the Intensive Care National Audit and Research Center Case Mix Program reported the first statistically validated early warning scoring system for pregnant women.
OBJECTIVE: We sought to assess the performance of the Intensive Care National Audit and Research Center Obstetric Early Warning Score in predicting death among pregnant women who required admission to the intensive care unit. STUDY
DESIGN: This retrospective cohort study included pregnant women admitted to the intensive care unit at a tertiary referral center from January 2006 through December 2011 in Colombia, a developing country, with direct and indirect obstetric-related conditions. The Obstetric Early Warning Score was calculated based on data collected during the first 24 hours of intensive care unit admission. The Obstetric Early Warning Score is calculated based on values of the following variables: systolic and diastolic blood pressure, respiratory rate, heart rate, fraction of inspired oxygen (FiO2) required to maintain an oxygen saturation ≥96%, temperature, and level of consciousness. The performance of the Obstetric Early Warning Score was evaluated using the area under the receiver operator characteristic curve. Outcomes selected were: maternal death, need for mechanical ventilation, and/or vasoactive support. Statistical methods included distribution appropriate univariate analyses and multivariate logistic regression.
RESULTS: During the study period, 50,897 births were recorded. There were 724 obstetric admissions to critical care, for an intensive care unit admission rate of 14.22 per 1000 deliveries. A total of 702 women were included in the study, with 29 (4.1%) maternal deaths, and a mortality ratio of 56.98 deaths per 100,000 live births. The most frequent causes of admission were direct, obstetric-related conditions (n = 534; 76.1%). The Obstetric Early Warning Score value was significantly higher in nonsurvivors than in survivors [12 (interquartile range 10-13) vs 7 (interquartile range 4-9); P < .001]. Peripartum women with normal values of Obstetric Early Warning Score had 0% mortality rate, while those with high Obstetric Early Warning Score values (>6) had a mortality rate of 6.3%. The area under the receiver operator characteristic curve of the Obstetric Early Warning Score in discrimination of maternal death was 0.84 (95% confidence interval, 0.75-0.92). The overall predictive value of the Obstetric Early Warning Score was better when the main cause of admission was directly related to pregnancy or the postpartum state. The area under the receiver operator characteristic curve of the score in conditions directly related to pregnancy and postpartum was 0.87 (95% confidence interval, 0.79-0.95), while in indirectly related conditions the area under the receiver operator characteristic curve was 0.77 (95% confidence interval, 0.58-0.96).
CONCLUSION: Although there are opportunities for improvement, Obstetric Early Warning Score obtained upon admission to the intensive care unit can predict survival in conditions directly related to pregnancy and postpartum. The use of early warning scores in obstetrics may be a highly useful approach in the early identification of women at an increased risk of dying.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  intensive care unit; maternal death; maternal mortality; mortality prediction; pregnancy; severity scoring systems; validation

Mesh:

Substances:

Year:  2016        PMID: 27751799     DOI: 10.1016/j.ajog.2016.09.103

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


  17 in total

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Review 3.  Physiological track-and-trigger/early warning systems for use in maternity care.

Authors:  Valerie Smith; Louise C Kenny; Jane Sandall; Declan Devane; Maria Noonan
Journal:  Cochrane Database Syst Rev       Date:  2021-09-13

4.  Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity.

Authors:  Mark A Clapp; Ellen Kim; Kaitlyn E James; Roy H Perlis; Anjali J Kaimal; Thomas H McCoy; Sarah Rae Easter
Journal:  JAMA Netw Open       Date:  2022-10-03

5.  Epidemiology, Outcomes, and Risk Factors for Mortality in Critically Ill Women Admitted to an Obstetric High-Dependency Unit in Sierra Leone.

Authors:  Claudia Marotta; Luigi Pisani; Francesco Di Gennaro; Francesco Cavallin; Sarjoh Bah; Vincenzo Pisani; Rashan Haniffa; Abi Beane; Daniele Trevisanuto; Eva Hanciles; Marcus J Schultz; Michael M Koroma; Giovanni Putoto
Journal:  Am J Trop Med Hyg       Date:  2020-11       Impact factor: 2.345

6.  The impact of maternal anemia and labor on the obstetric Shock Index in women in a developing country.

Authors:  José Rojas-Suarez; Ángel Paternina-Caicedo; Jorge E Tolosa; Leidy Guzmán-Polanía; Nataly Gonzalez; Fredy Pomares; Augusto Maza; Jezid Miranda
Journal:  Obstet Med       Date:  2019-04-26

7.  Risk prediction models for maternal mortality: A systematic review and meta-analysis.

Authors:  Kazuyoshi Aoyama; Rohan D'Souza; Ruxandra Pinto; Joel G Ray; Andrea Hill; Damon C Scales; Stephen E Lapinsky; Gareth R Seaward; Michelle Hladunewich; Prakesh S Shah; Robert A Fowler
Journal:  PLoS One       Date:  2018-12-04       Impact factor: 3.240

8.  Early warning systems in obstetrics: A systematic literature review.

Authors:  Aminu Umar; Charles A Ameh; Francis Muriithi; Matthews Mathai
Journal:  PLoS One       Date:  2019-05-31       Impact factor: 3.240

9.  The golden hour of sepsis: An in-depth analysis of sepsis-related maternal mortality in middle-income country Suriname.

Authors:  Lachmi R Kodan; Kim J C Verschueren; Humphrey H H Kanhai; Jos J M van Roosmalen; Kitty W M Bloemenkamp; Marcus J Rijken
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Review 10.  Escalation triggers and expected responses in obstetric early warning systems used in UK consultant-led maternity units.

Authors:  James Cheshire; David Lissauer; Will Parry-Smith; Aurelio Tobias; Gary B Smith; Richard Isaacs; Vanora Hundley
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