Literature DB >> 32446252

Hemorrhage Risk Assessment on Admission: Utility for Prediction of Maternal Morbidity.

Homa K Ahmadzia1, Jaclyn M Phillips2, Rose Kleiman1, Alexis C Gimovsky1, Susan Bathgate1, Naomi L C Luban2, Richard L Amdur3.   

Abstract

OBJECTIVE: Hemorrhage is a major cause of maternal morbidity and mortality prompting creation of innovative risk assessment tools to identify patients at highest risk. We aimed to investigate the association of hemorrhage risk assessment with maternal morbidity and to evaluate maternal outcomes after implementation of the risk assessment across hospital sites. STUDY
DESIGN: We conducted a retrospective cohort analysis of a multicenter database including women admitted to labor and delivery from January 2015 to June 2018. The Association of Women's Health, Obstetric and Neonatal Nurses risk assessment tool was used to categorize patients as low, medium, or high risk for hemorrhage. Multivariate logistic regression was used to describe the association between hemorrhage risk score and markers of maternal morbidity and evaluate maternal outcomes before and after standardized implementations of the risk assessment tool.
RESULTS: In this study, 14,861 women were categorized as low risk (26%), 26,080 (46%) moderate risk, and 15,730 (28%) high risk (N = 56,671 births). For women with high-risk scores, the relative risk (RR) ratio compared with low-risk women was 4.9 (RR: 95% confidence interval [CI]: 3.2-7.4) for blood transfusion and 5.2 (RR: 95% CI: 4.6-5.9) for estimated blood loss (EBL) ≥ 1,000 mL. For the second objective, 110,633 women were available for pre- and postimplementation analyses (39,027 and 71,606, respectively). A 20% reduction in rates of blood transfusion (0.5-0.4%, p = 0.02) and EBL ≥ 1,000 mL (6.3-5.9%, p = 0.014) was observed between pre- and postimplementations of the admission hemorrhage risk assessment tool.
CONCLUSION: Women who were deemed high risk for hemorrhage using a hemorrhage risk assessment tool had five times higher risk for blood transfusion and EBL ≥ 1,000 mL compared with low-risk women. Given the low incidence of the outcomes explored, the hemorrhage risk assessment works moderately well to identify patients at risk for peripartum morbidity. KEY POINTS: · This study aimed to understand the utility of the AWOHNN hemorrhage risk assessment tool for predicting hemorrhage-related morbidity and to evaluate maternal outcomes before and after tool implementations.. · A high score using a hemorrhage risk assessment tool on admission is associated with five times higher risk for blood transfusion and/or estimated blood loss ≥ 1,000 mL, compared with a low score.. · Use of a hemorrhage risk assessment tool works moderately well to identify patients at highest risk for hemorrhage-related morbidity.. Thieme. All rights reserved.

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Year:  2020        PMID: 32446252      PMCID: PMC9016410          DOI: 10.1055/s-0040-1710501

Source DB:  PubMed          Journal:  Am J Perinatol        ISSN: 0735-1631            Impact factor:   3.079


  13 in total

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2.  Incidence, risk factors, and temporal trends in severe postpartum hemorrhage.

Authors:  Michael S Kramer; Cynthia Berg; Haim Abenhaim; Mourad Dahhou; Jocelyn Rouleau; Azar Mehrabadi; K S Joseph
Journal:  Am J Obstet Gynecol       Date:  2013-07-16       Impact factor: 8.661

Review 3.  Postpartum hemorrhage: epidemiology, risk factors, and causes.

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4.  Frequency of and factors associated with severe maternal morbidity.

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Journal:  Obstet Gynecol       Date:  2014-04       Impact factor: 7.661

Review 5.  The use of postpartum hemorrhage protocols in United States academic obstetric anesthesia units.

Authors:  Rachel M Kacmar; Jill M Mhyre; Barbara M Scavone; Andrea J Fuller; Paloma Toledo
Journal:  Anesth Analg       Date:  2014-10       Impact factor: 5.108

6.  Facility-based identification of women with severe maternal morbidity: it is time to start.

Authors:  William M Callaghan; William A Grobman; Sarah J Kilpatrick; Elliott K Main; Mary D'Alton
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7.  Changes in care associated with the introduction of a postpartum hemorrhage patient safety program.

Authors:  Justin R Lappen; Dominika Seidman; Carol Burke; Kris Goetz; William A Grobman
Journal:  Am J Perinatol       Date:  2013-01-28       Impact factor: 1.862

8.  Prevalence and risk factors of severe obstetric haemorrhage.

Authors:  I Al-Zirqi; S Vangen; L Forsen; B Stray-Pedersen
Journal:  BJOG       Date:  2008-09       Impact factor: 6.531

9.  National Partnership for Maternal Safety: Consensus Bundle on Obstetric Hemorrhage.

Authors:  Elliott K Main; Dena Goffman; Barbara M Scavone; Lisa Kane Low; Debra Bingham; Patricia L Fontaine; Jed B Gorlin; David C Lagrew; Barbara S Levy
Journal:  Obstet Gynecol       Date:  2015-07       Impact factor: 7.661

10.  Correction: Predicting peripartum blood transfusion in women undergoing cesarean delivery: A risk prediction model.

Authors:  Homa K Ahmadzia; Jaclyn M Phillips; Andra H James; Madeline M Rice; Richard L Amdur
Journal:  PLoS One       Date:  2019-01-23       Impact factor: 3.240

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  2 in total

1.  Associations of anaemia and race with peripartum transfusion in three United States datasets.

Authors:  Elisabeth Davis; Richard Amdur; Homa Ahmadzia
Journal:  Blood Transfus       Date:  2021-12-17       Impact factor: 5.752

2.  Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity.

Authors:  Emer L Colalillo; Andrew D Sparks; Jaclyn M Phillips; Chinelo L Onyilofor; Homa K Ahmadzia
Journal:  Sci Rep       Date:  2021-07-19       Impact factor: 4.379

  2 in total

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