Evidence map›Paper›PMID 34282160›Full record

ArticleScientific reports2021

Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity.

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

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Hemorrhage risk score and peripartum quantified blood loss.Proceedings (Baylor University. Medical Center) · 2025
    Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Emer L ColalilloDepartment of Obstetrics and Gynecology, St. Luke's University Health Network, Allentown, PA, USA.
Andrew D SparksDepartment of Surgery, George Washington University School of Medicine & Health Sciences, Washington, DC, USA.
Jaclyn M PhillipsDivision of Maternal Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Chinelo L OnyiloforDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, George Washington University School of Medicine & Health Sciences, Washington, DC, 20037, USA.
Homa K AhmadziaDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, George Washington University School of Medicine & Health Sciences, Washington, DC, 20037, USA. hahmadzia@mfa.gwu.edu.
George Washington University · USSt. Luke's University Health Network · USUniversity of Pittsburgh · US

Funding

Clinical and Translational Science Institute at Childrens NationalUL1TR001876 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI BELL, MICHAEL J · 2016 to 2021
$25.6M
Clinical and Translational Science Institute at Childrens National-Mentored Career Development CoreKL2TR001877 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI LUBAN, NAOMI L · 2016 to 2020
$2.0M
Prevention of postpartum hemorrhage: identifying pregnant women at risk and determining the safe and effective use of tranexamic acid using state-of-the-art pharmacokinetic/pharmacodynamics modelingK23HL141640 · NHLBI · GEORGE WASHINGTON UNIVERSITY · PI AHMADZIA, HOMA KHORRAMI · 2019 to 2022
$621k
NCATS NIH HHS KL2 TR001877NHLBI NIH HHS K23 HL141640NIH HHS UL1TR001876
6 · The paper itself

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.

Indexed as

Models, StatisticalBlood TransfusionCohort StudiesDatabases, FactualDelivery, ObstetricFemaleHumansMorbidityObstetric Labor ComplicationsPostpartum HemorrhagePregnancyPrognosisPuerperal DisordersResearch DesignRetrospective StudiesRisk Assessment

Identifiers

PMID34282160
PMCPMC8289851
OpenAlexW3183240224

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.