Evidence map›Paper›PMID 40758946›Full record

ArticleBlood advances2025

Outcomes of patients with suspected heparin-induced thrombocytopenia in a contemporary multicenter cohort.

Henning Nilius, Ekaterina Sinitsa, Jan-Dirk Studt, Dimitrios A Tsakiris, Andreas Greinacher, Adriana Mendez, Adrian Schmidt, Walter A Wuillemin, Bernhard Gerber, Prakash Vishnu and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Blood advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Henning NiliusDepartment of Clinical Chemistry, Inselspital, Bern University Hospital, Bern, Switzerland.
Ekaterina SinitsaDepartment of Clinical Chemistry, Inselspital, Bern University Hospital, Bern, Switzerland.
Jan-Dirk StudtDivision of Medical Oncology and Hematology, University and University Hospital Zurich, Zurich, Switzerland.
Dimitrios A TsakirisDiagnostic Haematology, Basel University Hospital, Basel, Switzerland.ORCID 0009-0009-3135-4630
Andreas GreinacherInstitut für Transfusionsmedizin, Universitätsmedizin Greifswald, Greifswald, Germany.ORCID 0000-0001-8343-7336
Adriana MendezDepartment of Laboratory Medicine, Kantonsspital Aarau, Aarau, Switzerland.
Adrian SchmidtInstitute of Laboratory Medicine and Clinic of Medical Oncology and Hematology, Municipal Hospital Zurich Triemli, Zurich, Switzerland.ORCID 0000-0003-3414-8508
Walter A WuilleminDivision of Hematology and Central Hematology Laboratory, Cantonal Hospital of Lucerne and University of Bern, Lucerne, Switzerland.
Bernhard GerberClinic of Hematology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland.ORCID 0000-0001-5418-0949
Prakash VishnuDivision of Hematology, Fred Hutchinson Cancer Center, University of Washington, Seattle, WA.
Lukas GrafCantonal Hospital of St. Gallen, St. Gallen, Switzerland.ORCID 0000-0002-5556-4351
Johanna A Kremer HovingaDepartment of Hematology and Central Hematology Laboratory, Inselspital, Bern University Hospital, Bern, Switzerland.ORCID 0000-0002-1300-7135
Tamam BakchoulCentre for Clinical Transfusion Medicine, University Hospital of Tübingen, Tübingen, Germany.
Michael NaglerDepartment of Clinical Chemistry, Inselspital, Bern University Hospital, Bern, Switzerland.ORCID 0000-0003-4319-2367

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractManaging patients with suspected heparin-induced thrombocytopenia (HIT) poses significant clinical challenges. Limited evidence exists on how management decisions impact clinical outcomes, leading to treatment recommendations based on low-certainty evidence. This study aimed to evaluate the treatment strategies and clinical outcomes of patients with suspected HIT in a contemporary multicenter cohort. We conducted a prospective, multicenter cohort study including consecutive patients with suspected HIT from 11 centers. Patients were stratified into 3 groups: (1) HIT confirmed, (2) HIT-negative but heparin/platelet factor 4 (PF4) antibody-positive, and (3) HIT-negative without antibodies. Clinical and laboratory data were systematically collected. HIT was diagnosed using the washed-platelet heparin-induced platelet activation test as the reference standard. Among 1393 patients (46% female, median age 67 years), HIT was confirmed in 119 (8.5%). Most patients were in intensive care (37%), or had undergone cardiac surgery (32%). Argatroban was the predominant treatment (70%), and platelet recovery occurred in 77% of patients with HIT. Among patients with HIT, subsequent venous thromboembolism occurred in 23%, arterial thromboembolism in 9%, major bleeding in 12.6%, and mortality in 18%, with no significant differences between anticoagulants. Treatment with argatroban, bivalirudin, or direct oral anticoagulants (DOACs) significantly reduced arterial thromboembolism risk. Outcomes did not differ between patients who were HIT-negative with or without heparin/PF4 antibodies. HIT, as well as the mere suspicion of HIT, remains a serious condition with a high risk of adverse outcomes, including death. Our findings provide further evidence supporting the effectiveness of DOACs, argatroban, and bivalirudin in reducing arterial thromboembolism risk.

Indexed as

AnticoagulantsHeparinThrombocytopeniaAgedAged, 80 and overArginineFemaleHirudinsHumansMaleMiddle AgedPeptide FragmentsPipecolic AcidsPlatelet Factor 4Prospective StudiesRecombinant ProteinsAnticoagulantsargatrobanArgininebivalirudinHeparinHirudinsPeptide FragmentsPipecolic AcidsPlatelet Factor 4Recombinant ProteinsSulfonamides

Identifiers

PMID40758946
PMCPMC12615279

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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.