Evidence map›Paper›PMID 34965610›Full record

ArticleBritish journal of clinical pharmacology2022

Effects of dalteparin on anti-Xa activities cannot be predicted in critically ill COVID-19 patients.

Charlotte D C C van der Heijden, Rob Ter Heine, Emma J Kooistra, Roger J Brüggemann, Jesper W J Walburgh Schmidt, Elke P L M de Grouw, Tim Frenzel, Peter Pickkers, Jenneke Leentjens

Open access · hybridAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 1 institution in 2 countries.

Charlotte D C C van der HeijdenDepartment of Internal Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.ORCID 0000-0003-3525-3107
Rob Ter HeineDepartment of Pharmacy, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands.
Emma J KooistraDepartment of Intensive Care, Radboud University Medical Center, Nijmegen, the Netherlands.
Roger J BrüggemannDepartment of Intensive Care, Radboud University Medical Center, Nijmegen, the Netherlands.ORCID 0000-0002-7618-725X
Jesper W J Walburgh SchmidtDepartment of Pharmacy, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands.
Elke P L M de GrouwDepartment of Clinical Chemistry, Radboud University Medical Center, the Netherlands.
Tim FrenzelDepartment of Pharmacy, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands.
Peter PickkersDepartment of Pharmacy, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands.
Jenneke LeentjensDepartment of Internal Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.ORCID 0000-0003-3356-3910
Radboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Critically ill COVID-19 patients are at high risk of thromboembolic events despite routine-dosed low-molecular-weight heparin thromboprophylaxis. However, in recent randomized trials increased-intensity thromboprophylaxis seemed futile and possibly even harmful. In this explorative pharmacokinetic (PK) study we measured anti-Xa activities on frequent timepoints in 15 critically ill COVID-19 patients receiving dalteparin and performed PK analysis by nonlinear mixed-effect modelling. A linear one-compartment model with first-order kinetics provided a good fit. However, wide interindividual variation in dalteparin absorption (variance 78%) and clearance (variance 34%) was observed, unexplained by routine clinical covariates. Using the final PK model for Monte Carlo simulations, we predicted increased-intensity dalteparin to result in anti-Xa activities well over prophylactic targets (0.2-0.4 IU/mL) in the majority of patients. Therapeutic-intensity dalteparin results in supratherapeutic anti-Xa levels (target 0.6-1.0 IU/mL) in 19% of patients and subtherapeutic levels in 22%. Therefore, anti-Xa measurements should guide high-intensity dalteparin in critically ill COVID-19 patients.

Indexed as

COVID-19 Drug TreatmentVenous ThromboembolismAnticoagulantsCritical IllnessDalteparinFactor Xa InhibitorsHeparin, Low-Molecular-WeightHumansAnticoagulantsDalteparinFactor Xa InhibitorsHeparin, Low-Molecular-Weightanti-XaCOVID-19critical caredalteparinlow-molecular weight heparinpharmacokineticstherapeutic drug monitoring

Identifiers

PMID34965610
PMCPMC9305530
OpenAlexW4200560296

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.