Evidence map›Paper›PMID 38729164›Full record

ArticleAmerican journal of perinatology2024

Prediction of COVID-19 Severity at Delivery after Asymptomatic or Mild COVID-19 during Pregnancy.

Grecio J Sandoval, Torri D Metz, William A Grobman, Tracy A Manuck, Brenna L Hughes, George R Saade, Monica Longo, Hyagriv N Simhan, Dwight J Rouse, Hector Mendez-Figueroa and 6 more

Abstract read
In one paragraph

Article in American journal of perinatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Grecio J SandovalBiostatistics Center, George Washington University, Washington, District of Columbia.ORCID 0000-0002-3601-6712
Torri D MetzDepartment of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah.
William A GrobmanDepartment of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois.
Tracy A ManuckDepartment of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, North Carolina.
Brenna L HughesDepartment of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, North Carolina.
George R SaadeDepartment of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas.
Monica LongoEunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Hyagriv N SimhanDepartment of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Dwight J RouseDepartment of Obstetrics and Gynecology, Brown University, Providence, Rhode Island.
Hector Mendez-FigueroaDepartment of Obstetrics and Gynecology, Children's Memorial Hermann Hospital, University of Texas Health Science Center at Houston, Houston, Texas.
Cynthia Gyamfi-BannermanDepartment of Obstetrics and Gynecology, Columbia University, New York, New York.
Angela C RanziniDepartment of Obstetrics and Gynecology, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio.
Maged M CostantineDepartment of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio.ORCID 0000-0003-4076-469X
Harish M SehdevDepartment of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania.
Alan T N TitaDepartment of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama.
Eunice Kennedy Shriver National Institute of Child Health Human Development Maternal-Fetal Medicine Units Network, Bethesda, MD

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
SARS-CoV-2 Vaccine Pregnancy RegistryU24HD036801 · NICHD · GEORGE WASHINGTON UNIVERSITY · PI Rebecca Gersnoviez Clifton · 2021 to 2026
$39.2M
Maternal-Fetal Medicine Units (MFMU) NetworkUG1HD040485 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Noelia Milena Modad Zork · 2016 to 2026
$3.6M
NICHD Maternal Fetal Medicine Units NetworkUG1HD087192 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI Lorraine Dugoff · 2016 to 2026
$3.6M
NICHD Maternal-Fetal Medicine Units (MFMU) NetworkUG1HD040544 · NICHD · CASE WESTERN RESERVE UNIVERSITY · PI Kelly S Gibson, Angela C. Ranzini · 2016 to 2026
$3.5M
Maternal-Fetal Medicine Units Network -- The Northwestern Study CenterUG1HD040512 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Lynn M Yee · 2016 to 2026
$3.4M
NICHD Maternal-Fetal Medicine Units (MFMU) NetworkUG1HD040500 · NICHD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI DWIGHT J ROUSE · 2016 to 2026
$3.4M
UofU Maternal-Fetal Medicine Units (MFMU) Network: Clinical CentersUG1HD034208 · NICHD · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Torri D Metz · 2016 to 2026
$3.4M
NICHD Maternal Fetal Medicine Units NetworkUG1HD027915 · NICHD · OHIO STATE UNIVERSITY · PI Maged Costantine · 2016 to 2026
$3.3M
UNC MFMU: Advancing Perinatal Health via Definitive, Multi-Site Clinical StudiesUG1HD040560 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI John M Thorp · 2016 to 2026
$3.3M
NICHD Maternal-Fetal Medicine Units (MFMU) NetworkUG1HD087230 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HYAGRIV N SIMHAN · 2016 to 2026
$3.2M
NICHD Maternal-Fetal Medicine Units (MFMU) NetworkUG1HD040545 · NICHD · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Hector Mendez-Figueroa · 2016 to 2026
$3.2M
NCATS NIH HHS UL1 TR001873NICHD NIH HHS U24 HD036801NICHD NIH HHS UG1 HD027869NICHD NIH HHS UG1 HD027915NICHD NIH HHS UG1 HD034208NICHD NIH HHS UG1 HD040485NICHD NIH HHS UG1 HD040500NICHD NIH HHS UG1 HD040512NICHD NIH HHS UG1 HD040544NICHD NIH HHS UG1 HD040545NICHD NIH HHS UG1 HD040560NICHD NIH HHS UG1 HD053097NICHD NIH HHS UG1 HD087192NICHD NIH HHS UG1 HD087230NICHD NIH HHS UG1 HD112063
6 · The paper itself

Abstract

objectiveThis study aimed to develop a prediction model that estimates the probability that a pregnant person who has had asymptomatic or mild coronavirus disease 2019 (COVID-19) prior to delivery admission will progress in severity to moderate, severe, or critical COVID-19. STUDY

designThis was a secondary analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients who delivered from March through December 2020 at hospitals across the United States. Those eligible for this analysis presented for delivery with a current or previous asymptomatic or mild SARS-CoV-2 infection. The primary outcome was moderate, severe, or critical COVID-19 during the delivery admission through 42 days postpartum. The prediction model was developed and internally validated using stratified cross-validation with stepwise backward elimination, incorporating only variables that were known on the day of hospital admission.

resultsOf the 2,818 patients included, 26 (0.9%; 95% confidence interval [CI], 0.6-1.3%) developed moderate-severe-critical COVID-19 during the study period. Variables in the prediction model were gestational age at delivery admission (adjusted odds ratio [aOR], 1.15; 95% CI, 1.08-1.22 per 1-week decrease), a hypertensive disorder in a prior pregnancy (aOR 3.05; 95% CI, 1.25-7.46), and systolic blood pressure at admission (aOR, 1.04; 95% CI, 1.02-1.05 per mm Hg increase). This model yielded an area under the receiver operating characteristic curve of 0.82 (95% CI, 0.72-0.91).

conclusionAmong individuals presenting for delivery who had asymptomatic-mild COVID-19, gestational age at delivery admission, a hypertensive disorder in a prior pregnancy, and systolic blood pressure at admission were predictive of delivering with moderate, severe, or critical COVID-19. This prediction model may be a useful tool to optimize resources for SARS-CoV-2-infected pregnant individuals admitted for delivery. KEY POINTS: · Three factors were associated with delivery with more severe COVID-19.. · The developed model yielded an area under the receiver operating characteristic curve of 0.82 and model fit was good.. · The model may be useful tool for SARS-CoV-2 infected pregnancies admitted for delivery..

Indexed as

COVID-19Pregnancy Complications, InfectiousSARS-CoV-2Severity of Illness IndexAdultAsymptomatic InfectionsDelivery, ObstetricFemaleGestational AgeHumansPregnancyROC CurveUnited States

Identifiers

PMID38729164
PMCPMC11534505

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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.