Evidence map›Paper›PMID 35853020›Full record

Observational studyPloS one2022

ICU strain and outcome in COVID-19 patients-A multicenter retrospective observational study.

Alexandre Demoule, Muriel Fartoukh, Guillaume Louis, Elie Azoulay, Safaa Nemlaghi, Edouard Jullien, Cyrielle Desnos, Sebastien Clerc, Elise Yvin, Nouchan Mellati and 5 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Observational
  2. Observational
  3. Comparative analysis of COVID-19 critically ill patients across four pandemic waves in Greece.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
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  4. Observational
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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

15 authors.

Alexandre DemouleService de Médecine Intensive et Réanimation (Département R3S), AP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Pitié-Salpêtrière, Paris, France.ORCID 0000-0002-0432-7217
Muriel FartoukhService de Médecine Intensive et Réanimation, AP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Tenon, Paris, France.
Guillaume LouisService de Réanimation Polyvalente, Hôpital de Mercy, CHR Metz-Thionville, Metz, France.ORCID 0000-0002-4208-8122
Elie AzoulayAPHP, Hôpital Saint-Louis, Medical Intensive Care Unit, ECSTRA team, and Clinical Epidemiology, UMR 1153, Center of Epidemiology and Biostatistics, CRESS, INSERM, Université de Paris, Paris, France.
Safaa NemlaghiService de Médecine Intensive et Réanimation (Département R3S), AP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Pitié-Salpêtrière, Paris, France.
Edouard JullienService de Médecine Intensive et Réanimation, AP-HP, Groupe Hospitalier Universitaire PARIS-SACLAY, Site Ambroise Paré, DMU CORREVE, Boulogne Billancourt, France.
Cyrielle DesnosService de Médecine Intensive et Réanimation, AP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Tenon, Paris, France.
Sebastien ClercService de Médecine Intensive et Réanimation (Département R3S), AP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Pitié-Salpêtrière, Paris, France.
Elise YvinAPHP, Hôpital Saint-Louis, Medical Intensive Care Unit, ECSTRA team, and Clinical Epidemiology, UMR 1153, Center of Epidemiology and Biostatistics, CRESS, INSERM, Université de Paris, Paris, France.
Nouchan MellatiService de Réanimation Polyvalente, Hôpital de Mercy, CHR Metz-Thionville, Metz, France.
Cyril CharronService de Médecine Intensive et Réanimation, AP-HP, Groupe Hospitalier Universitaire PARIS-SACLAY, Site Ambroise Paré, DMU CORREVE, Boulogne Billancourt, France.
Guillaume VoiriotService de Médecine Intensive et Réanimation, AP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Tenon, Paris, France.
Yoann PicardService de Réanimation Polyvalente, Hôpital de Mercy, CHR Metz-Thionville, Metz, France.
Antoine Vieillard-BaronService de Médecine Intensive et Réanimation, AP-HP, Groupe Hospitalier Universitaire PARIS-SACLAY, Site Ambroise Paré, DMU CORREVE, Boulogne Billancourt, France.
Michael DarmonAPHP, Hôpital Saint-Louis, Medical Intensive Care Unit, ECSTRA team, and Clinical Epidemiology, UMR 1153, Center of Epidemiology and Biostatistics, CRESS, INSERM, Université de Paris, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the characteristics, management, and prognosis of patients admitted to intensive care units (ICU) for coronavirus disease (COVID)-19 during the first two waves of the outbreak and to evaluate the relationship between ICU strain (ICU demand due to COVID-19 admissions) and mortality.

methodsIn a multicentre retrospective study, 1166 COVID-19 patients admitted to five ICUs in France between 20 February and 31 December 2020 were included. Data were collected at each ICU from medical records. A Cox proportional-hazards model identified factors associated with 28-day mortality.

results640 patients (55%) were admitted during the first wave (February to June 2020) and 526 (45%) during the second wave (July to December 2020). ICU strain was lower during the second wave (-0.81 [-1.04 --0.31] vs. 1.18 [-0.34-1.29] SD when compared to mean COVID-19 admission in each center during study period, P<0.001). Patients admitted during the second wave were older, had more profound hypoxemia and lower SOFA. High flow nasal cannula was more frequently used during the second wave (68% vs. 39%, P<0.001) and intubation was less frequent (46% vs. 69%, P<0.001). Neither 28-day mortality (30% vs. 26%, P = 0.12) nor hospital mortality (37% vs. 31%, P = 0.27) differed between first and second wave. Overweight and obesity were associated with lower 28-day mortality while older age, underlying chronic kidney disease, severity at ICU admission as assessed by SOFA score and ICU strain were associated with higher 28-day mortality. ICU strain was not associated with hospital mortality.

conclusionThe characteristics and the management of patients varied between the first and the second wave of the pandemic. Rather than the wave, ICU strain was independently associated with 28-day mortality, but not with hospital mortality.

Indexed as

COVID-19Hospital MortalityHumansIntensive Care UnitsPandemicsRetrospective Studies

Identifiers

PMID35853020
PMCPMC9295940

What OpenQuestion holds

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LicenceCC BY
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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.