Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity

Abstract Obstetric hemorrhage is one of the leading preventable causes of maternal mortality in the United States. Although hemorrhage risk-prediction models exist, there remains a gap in literature describing if these risk-prediction tools can identify composite maternal morbidity. We investigate h...

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Autores principales:	Emer L. Colalillo, Andrew D. Sparks, Jaclyn M. Phillips, Chinelo L. Onyilofor, Homa K. Ahmadzia
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ba60975536f744a687e4c7987c2fe597
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spelling	oai:doaj.org-article:ba60975536f744a687e4c7987c2fe5972021-12-02T16:26:23ZObstetric hemorrhage risk assessment tool predicts composite maternal morbidity10.1038/s41598-021-93413-32045-2322https://doaj.org/article/ba60975536f744a687e4c7987c2fe5972021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93413-3https://doaj.org/toc/2045-2322Abstract Obstetric hemorrhage is one of the leading preventable causes of maternal mortality in the United States. Although hemorrhage risk-prediction models exist, there remains a gap in literature describing if these risk-prediction tools can identify composite maternal morbidity. We investigate how well an established obstetric hemorrhage risk-assessment tool predicts composite hemorrhage-associated morbidity. We conducted a retrospective cohort analysis of a multicenter database including women admitted to Labor and Delivery from 2016 to 2018, at centers implementing the Association of Women’s Health, Obstetric, and Neonatal Nurses risk assessment tool on admission. A composite morbidity score incorporated factors including obstetric hemorrhage (estimated blood loss ≥ 1000 mL), blood transfusion, or ICU admission. Out of 56,903 women, 14,803 (26%) were categorized as low-risk, 26,163 (46%) as medium-risk and 15,937 (28%) as high-risk for obstetric hemorrhage. Composite morbidity occurred at a rate of 2.2%, 8.0% and 11.9% within these groups, respectively. Medium- and high-risk groups had an increased combined risk of composite morbidity (diagnostic OR 4.58; 4.09–5.13) compared to the low-risk group. This established hemorrhage risk-assessment tool predicts clinically-relevant composite morbidity. Future randomized trials in obstetric hemorrhage can incorporate these tools for screening patients at highest risk for composite morbidity.Emer L. ColalilloAndrew D. SparksJaclyn M. PhillipsChinelo L. OnyiloforHoma K. AhmadziaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Emer L. Colalillo Andrew D. Sparks Jaclyn M. Phillips Chinelo L. Onyilofor Homa K. Ahmadzia Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity
description	Abstract Obstetric hemorrhage is one of the leading preventable causes of maternal mortality in the United States. Although hemorrhage risk-prediction models exist, there remains a gap in literature describing if these risk-prediction tools can identify composite maternal morbidity. We investigate how well an established obstetric hemorrhage risk-assessment tool predicts composite hemorrhage-associated morbidity. We conducted a retrospective cohort analysis of a multicenter database including women admitted to Labor and Delivery from 2016 to 2018, at centers implementing the Association of Women’s Health, Obstetric, and Neonatal Nurses risk assessment tool on admission. A composite morbidity score incorporated factors including obstetric hemorrhage (estimated blood loss ≥ 1000 mL), blood transfusion, or ICU admission. Out of 56,903 women, 14,803 (26%) were categorized as low-risk, 26,163 (46%) as medium-risk and 15,937 (28%) as high-risk for obstetric hemorrhage. Composite morbidity occurred at a rate of 2.2%, 8.0% and 11.9% within these groups, respectively. Medium- and high-risk groups had an increased combined risk of composite morbidity (diagnostic OR 4.58; 4.09–5.13) compared to the low-risk group. This established hemorrhage risk-assessment tool predicts clinically-relevant composite morbidity. Future randomized trials in obstetric hemorrhage can incorporate these tools for screening patients at highest risk for composite morbidity.
format	article
author	Emer L. Colalillo Andrew D. Sparks Jaclyn M. Phillips Chinelo L. Onyilofor Homa K. Ahmadzia
author_facet	Emer L. Colalillo Andrew D. Sparks Jaclyn M. Phillips Chinelo L. Onyilofor Homa K. Ahmadzia
author_sort	Emer L. Colalillo
title	Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity
title_short	Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity
title_full	Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity
title_fullStr	Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity
title_full_unstemmed	Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity
title_sort	obstetric hemorrhage risk assessment tool predicts composite maternal morbidity
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ba60975536f744a687e4c7987c2fe597
work_keys_str_mv	AT emerlcolalillo obstetrichemorrhageriskassessmenttoolpredictscompositematernalmorbidity AT andrewdsparks obstetrichemorrhageriskassessmenttoolpredictscompositematernalmorbidity AT jaclynmphillips obstetrichemorrhageriskassessmenttoolpredictscompositematernalmorbidity AT chinelolonyilofor obstetrichemorrhageriskassessmenttoolpredictscompositematernalmorbidity AT homakahmadzia obstetrichemorrhageriskassessmenttoolpredictscompositematernalmorbidity
_version_	1718384077130694656

Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity

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