Evidence map›Paper›PMID 37596826›Full record

ReviewJournal of perinatal medicine2023

Increased risk of severe COVID-19 in pregnancy in a multicenter propensity score-matched study.

Liviu Cojocaru, Myint Noe, Autusa Pahlavan, Alissa Werzen, Hyunuk Seung, Young Chae Jessica Yoo, Patricia Tyson, Shivakumar Narayanan, Shifa Turan, Ozhan M Turan and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of perinatal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Liviu CojocaruDivision of Anesthesia Critical Care, Department of Anesthesiology, Perioperative Care, and Pain Medicine, New York University Grossman School of Medicine, New York, NY, USA.ORCID https://orcid.org/0000-0003-1558-702X
Myint NoeDivision of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
Autusa PahlavanDepartment of Gynecology and Obstetrics, Johns Hopkins University, Baltimore, MD, USA.
Alissa WerzenDivision of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
Hyunuk SeungDepartment of Pharmacy Practice and Sciences, University of Maryland School of Pharmacy, Baltimore, MD, USA.
Young Chae Jessica YooDivision of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
Patricia TysonDepartment of Obstetrics and Gynecology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Shivakumar NarayananDivision of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0003-3440-0259
Shifa TuranDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Science, University of Maryland School of Medicine, Baltimore, MD, USA.
Ozhan M TuranDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Science, University of Maryland School of Medicine, Baltimore, MD, USA.
Joel V ChuaDivision of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
University of Maryland, Baltimore · USJohns Hopkins University · USUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the association between COVID-19 severity and pregnancy using measures such as COVID-19 ordinal scale severity score, hospitalization, intensive care unit (ICU) admission, oxygen supplementation, invasive mechanical ventilation, and death.

methodsWe conducted a retrospective, multicenter cohort study to understand the association between COVID-19 severity and pregnancy. We reviewed consecutive charts of adult females, ages 18-45, with laboratory testing for SARS-CoV-2 infection between March 1, 2020, and August 31, 2020. Cases were patients diagnosed with COVID-19 during pregnancy, whereas controls were not pregnant at the time of COVID-19 diagnosis. Primary endpoints were the COVID-19 severity score at presentation (within four hours) and the nadir of the clinical course. The secondary endpoints were the proportion of patients requiring hospitalization, ICU admission, oxygen supplementation, invasive mechanical ventilation, and death.

resultsA higher proportion of pregnant women had moderate to severe COVID-19 disease at the nadir of the clinical course than non-pregnant women (25 vs. 16.1 %, p=0.04, respectively). There was a higher rate of hospitalization (25.6 vs. 17.2 %), ICU admission (8.9 vs. 4.4 %), need for vasoactive substances (5.0 vs. 2.8 %), and invasive mechanical ventilation (5.6 vs. 2.8 %) in the pregnant cohort. These differences were not significant after applying propensity score matching.We found a high rate of pregnancy complications in our population (40.7 %). The most worrisome is the rate of hypertensive disorders of pregnancy (20.1 %).

conclusionsIn our propensity score-matched study, COVID-19 in pregnancy is associated with an increased risk of disease severity and pregnancy complications.

Indexed as

COVID-19Pregnancy ComplicationsPregnancy Complications, InfectiousAdultCohort StudiesCOVID-19 TestingDisease ProgressionFemaleHumansMulticenter Studies as TopicPregnancyPropensity ScoreRetrospective StudiesSARS-CoV-2COVID-19emerging infectious diseasesinfectiouspregnancy complicationspregnancy outcomeSARS-CoV-2

Identifiers

PMID37596826
OpenAlexW4385997383

What OpenQuestion holds

Textmetadata
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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.