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DOI 10.1038/s41598-021-93413-3

Медицинская библиотека · Scientific reports · 2021

Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity.

Colalillo Emer L, Sparks Andrew D, Phillips Jaclyn M, Onyilofor Chinelo L, Ahmadzia Homa K

СтатьяМногоцентровое исследованиеПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

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.

Для цитирования: Colalillo Emer L, Sparks Andrew D, Phillips Jaclyn M, Onyilofor Chinelo L, Ahmadzia Homa K. Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity.. Scientific reports. 2021. DOI: 10.1038/s41598-021-93413-3.

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