Evidence map›Paper›PMID 35978137›Full record

ArticleIntensive care medicine2022

Management and outcomes of pregnant women admitted to intensive care unit for severe pneumonia related to SARS-CoV-2 infection: the multicenter and international COVIDPREG study.

Edwige Péju, Félicie Belicard, Stein Silva, Sami Hraiech, Benoît Painvin, Toufik Kamel, Arnaud W Thille, Antoine Goury, David Grimaldi, Boris Jung and 5 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Intensive care medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
10.2field-weighted citation impact, top 1% 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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Maternal and Fetal Outcomes in Pregnant Women Admitted to the Intensive Care Unit with A/H1N1pdm or SARS-CoV-2 Infection: A Retrospective Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Retrospective Analysis of Clinical Characteristics and Outcomes of Pregnant Women with SARS-CoV-2 Infections Admitted to Intensive Care Units in India (Preg-CoV): A Multicenter Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

15 authors at 13 institutions in 2 countries.

Edwige PéjuService de Médecine Intensive et Réanimation, Hôpitaux Universitaires Paris Centre, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris, 27 rue du faubourg Saint Jacques, 75014, Paris, France.
Félicie BelicardService de Médecine Intensive et Réanimation, Hôpitaux Universitaires Paris Centre, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris, 27 rue du faubourg Saint Jacques, 75014, Paris, France.
Stein SilvaService de Médecine Intensive et Réanimation, Centre Hospitalier Universitaire Purpan, 31300, Toulouse, France.
Sami HraiechService de Médecine Intensive et Réanimation, AP-HM, Hôpital Nord, Marseille, France.
Benoît PainvinService de réanimation médicale, service des maladies infectieuses et réanimation médicale, Centre Hospitalier Universitaire de Rennes, Hôpital Pontchaillou, 2 rue Henri le Guilloux, 35033, Rennes Cedex 9, France.
Toufik KamelService de Médecine Intensive et Réanimation, Centre Hospitalier Régional d'Orléans, Orléans, France.
Arnaud W ThilleService de Médecine Intensive et Réanimation, CHU de Poitiers, Poitiers, France.
Antoine GouryService de Médecine Intensive et Réanimation, Centre Hospitalier Universitaire de Reims, Reims, France.
David GrimaldiService de soins intensifs CUB-Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Boris JungService de Médecine Intensive et Réanimation, CHU de Lapeyronie, Montpellier, France.
Michael PiagnerelliIntensive Care, CHU-Charleroi, Université Libre de Bruxelles, 140, chaussée de Bruxelles, 6042, Charleroi, Belgium.
Hadrien WiniszewskiService de Médecine Intensive et Réanimation, Centre Hospitalier Universitaire de Besançon, Besançon, France.
Merce JourdainPôle de Médecine Intensive et Réanimation, Hôpital Roger Salengro, CHU Lille, Lille, France.
Mathieu JozwiakService de Médecine Intensive Réanimation, Centre Hospitalier Universitaire de Nice, Hôpital l'Archet 1, 151 rue saint Antoine de Ginestière, 06200, Nice, France. jozwiak.m@chu-nice.fr.ORCID http://orcid.org/0000-0003-3379-4065
COVIDPREG Study Group
Université Libre de Bruxelles · BEAix-Marseille Université · FRCentre Hospitalier Universitaire de Besançon · FRCentre Hospitalier Universitaire de Nice · FRCentre Hospitalier Universitaire de Poitiers · FRCentre Hospitalier Universitaire de Reims · FRCentre Hospitalier Universitaire de Rennes · FRCentre Hospitalier Universitaire de Toulouse · FRCentre hospitalier universitaire d'Orléans · FRCentre National de la Recherche Scientifique · FRHôpital Cochin · FRInserm · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeManagement and outcomes of pregnant women with coronavirus disease 2019 (COVID-19) admitted to intensive care unit (ICU) remain to be investigated.

methodsA retrospective multicenter study conducted in 32 ICUs in France, Belgium and Switzerland. Maternal management as well as maternal and neonatal outcomes were reported.

resultsAmong the 187 pregnant women with COVID-19 (33 ± 6 years old and 28 ± 7 weeks' gestation), 76 (41%) were obese, 12 (6%) had diabetes mellitus and 66 (35%) had pregnancy-related complications. Standard oxygenation, high-flow nasal oxygen therapy (HFNO) and non-invasive ventilation (NIV) were used as the only oxygenation technique in 41 (22%), 55 (29%) and 18 (10%) patients, respectively, and 73 (39%) were intubated. Overall, 72 (39%) patients required several oxygenation techniques and 15 (8%) required venovenous extracorporeal membrane oxygenation. Corticosteroids and tocilizumab were administered in 157 (84%) and 25 (13%) patients, respectively. Awake prone positioning or prone positioning was performed in 49 (26%) patients. In multivariate analysis, risk factors for intubation were obesity (cause-specific hazard ratio (CSH) 2.00, 95% CI (1.05-3.80), p = 0.03), term of pregnancy (CSH 1.07, 95% CI (1.02-1.10), per + 1 week gestation, p = 0.01), extent of computed tomography (CT) scan abnormalities > 50% (CSH 2.69, 95% CI (1.30-5.60), p < 0.01) and NIV use (CSH 2.06, 95% CI (1.09-3.90), p = 0.03). Delivery was required during ICU stay in 70 (37%) patients, mainly due to maternal respiratory worsening, and improved the driving pressure and oxygenation. Maternal and fetal/neonatal mortality rates were 1% and 4%, respectively. The rate of maternal and/or neonatal complications increased with the invasiveness of maternal respiratory support.

conclusionIn ICU, corticosteroids, tocilizumab and prone positioning were used in few pregnant women with COVID-19. Over a third of patients were intubated and delivery improved the driving pressure.

Indexed as

COVID-19Pregnancy Complications, InfectiousAdultFemaleHumansInfant, NewbornIntensive Care UnitsPregnancyPregnant PeopleSARS-CoV-2Acute respiratory distress syndromeCOVID-19Mechanical ventilationNeonatesOxygenationPregnancyPrognosisProne positioning

Identifiers

PMID35978137
PMCPMC9383668
OpenAlexW4292121619

What OpenQuestion holds

Textmetadata
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.