Evidence map›Paper›PMID 34410561›Full record

ArticleJournal of thrombosis and thrombolysis2022

Evaluation of a patient specific, targeted-intensity pharmacologic thromboprophylaxis protocol in hospitalized patients with COVID-19.

Julie E Farrar, Toby C Trujillo, Scott W Mueller, Lyra Beltran, Cecilia Nguyen, Kathryn Hassell, Tyree H Kiser

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

7 authors at 3 institutions in 1 country.

Julie E FarrarDepartment of Pharmacy Practice, Auburn University Harrison School of Pharmacy, Mobile, AL, USA.
Toby C TrujilloDepartment of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Pharmacy & Pharmaceutical Sciences, 12850 E. Montview Blvd., Aurora, CO, 80045, USA. toby.trujillo@cuanschutz.edu.ORCID http://orcid.org/0000-0001-9377-4045
Scott W MuellerDepartment of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Pharmacy & Pharmaceutical Sciences, 12850 E. Montview Blvd., Aurora, CO, 80045, USA.
Lyra BeltranDepartment of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Pharmacy & Pharmaceutical Sciences, 12850 E. Montview Blvd., Aurora, CO, 80045, USA.
Cecilia NguyenDepartment of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Pharmacy & Pharmaceutical Sciences, 12850 E. Montview Blvd., Aurora, CO, 80045, USA.
Kathryn HassellDepartment of Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Tyree H KiserDepartment of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Pharmacy & Pharmaceutical Sciences, 12850 E. Montview Blvd., Aurora, CO, 80045, USA.
University of Montana · USAuburn University · USUniversity of Colorado Denver · US

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
NCATS NIH HHS UL1 TR002535
6 · The paper itself

Abstract

Patients with COVID-19 are at higher risk of thrombosis due to the inflammatory nature of their disease. A higher-intensity approach to pharmacologic thromboprophylaxis may be warranted. The objective of this retrospective cohort study was to determine if a patient specific, targeted-intensity pharmacologic thromboprophylaxis protocol incorporating severity of illness, weight, and biomarkers decreased incidence of thrombosis in hospitalized patients with COVID-19. Included patients were hospitalized with COVID-19 and received thromboprophylaxis within 48 h of admission. Exclusion criteria included receipt of therapeutic anticoagulation prior to or within 24 h of admission, history of heparin-induced thrombocytopenia, extracorporeal membrane oxygenation, pregnancy, or incarceration. Per-protocol patients received thromboprophylaxis according to institutional protocol involving escalated doses of anticoagulants based upon severity of illness, total body weight, and biomarker thresholds. The primary outcome was thrombosis. Secondary outcomes included major bleeding, mortality, and identification of risk factors for thrombosis. Of 1189 patients screened, 803 were included in the final analysis. The median age was 54 (42-65) and 446 (55.5%) were male. Patients in the per-protocol group experienced significantly fewer thrombotic events (4.4% vs. 10.7%, p = 0.002), less major bleeding (3.1% vs. 9.6%, p < 0.001), and lower mortality (6.3% vs. 11.8%, p = 0.02) when compared to patients treated off-protocol. Significant predictors of thrombosis included mechanical ventilation and male sex. Post-hoc regression analysis identified mechanical ventilation, major bleeding, and D-dimer ≥ 1500 ng/mL FEU as significant predictors of mortality. A targeted pharmacologic thromboprophylaxis protocol incorporating severity of illness, body weight, and biomarkers appears effective and safe for preventing thrombosis in patients with COVID-19.

Indexed as

COVID-19ThrombosisVenous ThromboembolismAdultAgedAnticoagulantsBody WeightFemaleHemorrhageHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2AnticoagulantsArterial thrombosisCOVID-19ThromboprophylaxisVenous thromboembolism

Identifiers

PMID34410561
PMCPMC8375286
OpenAlexW3194563043

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.