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


Journal

American journal of perinatology
ISSN: 1098-8785
Titre abrégé: Am J Perinatol
Pays: United States
ID NLM: 8405212

Informations de publication

Date de publication:
09 2021
Historique:
pubmed: 24 5 2020
medline: 4 1 2022
entrez: 24 5 2020
Statut: ppublish

Résumé

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. 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. In this study, 14,861 women were categorized as low risk (26%), 26,080 (46%) moderate risk, and 15,730 (28%) high risk ( 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. · 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..

Identifiants

pubmed: 32446252
doi: 10.1055/s-0040-1710501
pmc: PMC9016410
mid: NIHMS1789749
doi:

Types de publication

Journal Article Multicenter Study Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1126-1133

Subventions

Organisme : NHLBI NIH HHS
ID : K23 HL141640
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR001877
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001876
Pays : United States

Informations de copyright

Thieme. All rights reserved.

Déclaration de conflit d'intérêts

None declared.

Références

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Auteurs

Homa K Ahmadzia (HK)

Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The George Washington University School of Medicine & Health Sciences, Washington DC.

Jaclyn M Phillips (JM)

Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Rose Kleiman (R)

Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The George Washington University School of Medicine & Health Sciences, Washington DC.

Alexis C Gimovsky (AC)

Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The George Washington University School of Medicine & Health Sciences, Washington DC.

Susan Bathgate (S)

Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The George Washington University School of Medicine & Health Sciences, Washington DC.

Naomi L C Luban (NLC)

Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Richard L Amdur (RL)

Department of Pediatrics and Pathology, The George Washington University School of Medicine & Health Sciences, Washington, District of Columbia.

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