Evidence map›Paper›PMID 33047335›Full record

ArticleAnaesthesia2021

The impact of protocol-based high-intensity pharmacological thromboprophylaxis on thrombotic events in critically ill COVID-19 patients.

B Atallah, Z G Sadik, N Salem, W S El Nekidy, W Almahmeed, W M Park, A Cherfan, F Hamed, J Mallat

Open access · bronzeAbstract read
In one paragraph

Article in Anaesthesia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  16. Anticoagulation in COVID-19: not strong for too long?Anaesthesia, critical care & pain medicine · 2021
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  17. Article
  18. Article
  19. Article
  20. Anti-Xa Directed Thromboprophylaxis in Critically Ill Patients with Coronavirus Disease 2019.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

9 authors at 2 institutions in 3 countries.

B AtallahDepartment of Pharmacy, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.
Z G SadikDepartment of Pharmacy, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.
N SalemDepartment of Pharmacy, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.
W S El NekidyCleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.
W AlmahmeedHeart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.
W M ParkHeart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.
A CherfanDepartment of Pharmacy, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.
F HamedCritical Care Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.
J MallatCritical Care Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.ORCID 0000-0001-6372-7360
Abu Dhabi University · AECleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reported incidence rate of venous and arterial thrombotic events in critically ill patients with COVID-19 infections is high, ranging from 20% to 60%. We adopted a patient-tailored thromboprophylaxis protocol based on clinical and laboratory presentations for these patients in our institution. We hypothesised that patients who received high-intensity thromboprophylaxis treatment would experience fewer thrombotic events. The aims of our study were to explore the incidence of thrombotic events in this population; to assess independent factors associated with thrombotic events and to evaluate the incidence of haemorrhagic events. A retrospective review of all adult patients with confirmed SARS-CoV-2 infection admitted to the intensive care unit (ICU) between 1 March and 29 May 2020 was performed. The primary outcome was a composite of venous and arterial thrombotic events diagnosed during the ICU stay. Multivariable logistic regression was used to identify the independent factors associated with thrombotic events. A total of 188 patients met the inclusion criteria. All received some type of thromboprophylaxis treatment except for six patients who did not receive any prophylaxis. Of the 182 patients who received thromboprophylaxis, 75 (40%) received high-intensity thromboprophylaxis and 24 (12.8%) were treated with therapeutic anticoagulation. Twenty-one patients (11.2%) experienced 23 thrombotic events (incidence rate of 12.2% (95%CI 7.9-17.8)), including 12 deep venous thromboses, 9 pulmonary emboli and 2 peripheral arterial thromboses. The multivariable logistic regression analysis showed that only D-dimer (OR 2.80, p = 0.002) and high-intensity thromboprophylaxis regimen (OR 0.20, p = 0.01) were independently associated with thrombotic events. Thirty-one patients (16.5%) experienced haemorrhagic events; among them, 13 were classified as major bleeding according to the International Society on Thrombosis and Haemostasis criteria. Therapeutic anticoagulation, but not the high-intensity thromboprophylaxis regimen, was associated with major bleeding. A proactive approach to the management of thromboembolism in critically ill COVID-19 patients utilising a high-intensity thromboprophylaxis regimen in appropriately selected patients may result in lower thrombotic events without increasing the risk of bleeding.

Indexed as

Clinical ProtocolsAdultAgedAged, 80 and overAnticoagulantsCOVID-19Critical CareCritical IllnessEnoxaparinFemaleHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2Venous ThromboembolismAnticoagulantsEnoxaparinCOVID-19D-dimerdeep venous thrombosispulmonary embolismthromboembolic events

Identifiers

PMID33047335
PMCPMC7675553
OpenAlexW3092231621

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.