Evidence map›Paper›PMID 33556081›Full record

ArticlePloS one2021

Microvascular flow alterations in critically ill COVID-19 patients: A prospective study.

Osama Abou-Arab, Christophe Beyls, Abdelilah Khalipha, Mathieu Guilbart, Pierre Huette, Stéphanie Malaquin, Benoit Lecat, Pierre-Yves Macq, Pierre Alexandre Roger, Guillaume Haye and 6 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cardiovascular Outcomes in the Acute Phase of COVID-19.International journal of molecular sciences · 2021
    Review
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.

Osama Abou-ArabDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.ORCID 0000-0003-3766-716X
Christophe BeylsDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.
Abdelilah KhaliphaDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.ORCID 0000-0001-9394-7874
Mathieu GuilbartDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.
Pierre HuetteDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.
Stéphanie MalaquinDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.
Benoit LecatDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.
Pierre-Yves MacqDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.
Pierre Alexandre RogerDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.
Guillaume HayeDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.
Michaël BernasinskiDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.
Patricia BesserveDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.
Sandrine Soriot-ThomasDepartment of Clinical Research, Amiens University Hospital, Amiens, France.
Vincent JounieauxDepartment of Pneumology, Amiens University Hospital, Amiens, France.
Hervé DupontDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.
Yazine MahjoubDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, Amiens, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData on microcirculatory pattern of COVID-19 critically ill patients are scarce. The objective was to compare sublingual microcirculation parameters of critically ill patients according to the severity of the disease.

methodsThe study is a single-center prospective study with critically ill COVID-19 patients admitted in ICU. Sublingual microcirculation was assessed by IDF microscopy within 48 hours of ICU admission. Microcirculatory flow index (MFI), proportion of perfused vessel (PPV), total vessel density (TVD), De Backer score (DBS), perfused vessel density (PVD) and heterogeneity index (HI) were assessed. Patients were divided in 2 groups (severe and critical) according to the World health organization definition.

findingsFrom 19th of March to 7th of April 2020, 43 patients were included. Fourteen patients (33%) were in the severe group and twenty-nine patients (67%) in the critical group. Patients in the critical group were all mechanically ventilated. The critical group had significantly higher values of MFI, DBS and PVD in comparison to severe group (respectively, PaCO2: 49 [44-45] vs 36 [33-37] mmHg; p<0,0001, MFI: 2.8 ± 0.2 vs 2.5 ± 0.3; p = 0.001, DBS: 12.7 ± 2.6 vs 10.8 ± 2.0 vessels mm-2; p = 0.033, PVD: 12.5 ± 3.0 vs 10.1 ± 2.4 mm.mm-2; p = 0.020). PPV, HI and TVD were similar between groups Correlation was found between microcirculatory parameters and PaCO2 levels.

conclusionCritical COVID-19 patients under mechanical ventilation seem to have higher red blood cell velocity than severe non-ventilated patients.

Indexed as

Critical IllnessAgedCarbon DioxideCOVID-19FemaleHemodynamicsHumansIntensive Care UnitsMaleMicrocirculationMicrovesselsMiddle AgedOxygenPartial PressureProspective StudiesSARS-CoV-2Carbon DioxideOxygen

Identifiers

PMID33556081
PMCPMC7870020

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Registered trials

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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.