Evidence map›Paper›PMID 34173169›Full record

ArticleJournal of thrombosis and thrombolysis2022

Pragmatic study of a thromboprophylaxis algorithm in critically ill patients with SARS-COV-2 infection.

Maurizio Fattorutto, Yves Bouckaert, Jonathan Brauner, Stéphane Franck, Fabrice Bouton, Danielle Heuse, Charlotte Bouckaert, Arnaud Bruyneel

Open access · bronzeAbstract read
In one paragraph

Article in Journal of thrombosis and thrombolysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 59% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

8 authors at 2 institutions in 1 country.

Maurizio FattoruttoDepartment of Anesthesiology, Centre Hospitalier Universitaire Tivoli, Avenue Max Buset 34, 7100, La Louvière, Belgium. maurizio.fattorutto@chu-tivoli.be.ORCID http://orcid.org/0000-0002-9961-4947
Yves BouckaertIntensive Care Unit, Centre Hospitalier Universitaire Tivoli, La Louvière, Belgium.
Jonathan BraunerDepartment of Clinical Biology/Blood Bank, Centre Hospitalier Universitaire Tivoli, La Louvière, Belgium.
Stéphane FranckIntensive Care Unit, Centre Hospitalier Universitaire Tivoli, La Louvière, Belgium.
Fabrice BoutonIntensive Care Unit, Centre Hospitalier Universitaire Tivoli, La Louvière, Belgium.
Danielle HeuseIntensive Care Unit, Centre Hospitalier Universitaire Tivoli, La Louvière, Belgium.
Charlotte BouckaertWerfen N.V./S.A., Excelsiorlaan 48-50 boite 8, Zaventem, Belgium.
Arnaud BruyneelIntensive Care Unit, Centre Hospitalier Universitaire Tivoli, La Louvière, Belgium.
Centre Hospitalier Universitaire de Tivoli · BEUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal thromboprophylactic strategy for patients affected by Coronavirus disease 2019 (COVID-19) has been debated among experts. This study evaluated the safety and efficacy of a thromboprophylaxis algorithm. This was a retrospective, single-center study in critically ill patients admitted to the intensive care unit (University affiliated Hospital) for acute respiratory failure due to Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2). From March 16 to April 9, 2020, thromboprophylaxis was adjusted according to weight (control group, n = 19) and after this date, thromboprophylaxis depended on an algorithm based on thrombotic and hemorrhagic risk factors (protocol group, n = 13). With regard to safety (number of major bleeding events and blood transfusions), the groups were not significantly different. With regard to efficacy, the number of thrombotic events decreased from 37 to 0%, p = 0.025 after implementation of the algorithm. Also, peak fibrinogen dropped from 8.6 (7.2-9.3) to 6.5 (4.6-8.4) g/L, p = 0.041 and D-dimers from 2194 (1464-3763) to 1486 (900-2582) ng/mL, p = 0.0001. In addition, length of stay declined from 19 (10-31) to 5 (3-19) days, p = 0.009. In conclusion, a tailored thromboprophylaxis algorithm (risk stratification based on clinical parameters and biological markers) reduce thrombotic phenomena in critically ill COVID-19 patients without increasing major bleeding.

Indexed as

AlgorithmsCOVID-19ThrombosisAnticoagulantsCritical IllnessHemorrhageHumansRetrospective StudiesAnticoagulantsAnticoagulationCOVID-19HypercoagulabilitySARS-CoV-2Thrombosis

Identifiers

PMID34173169
PMCPMC8233177
OpenAlexW3175489847

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.