531
Views
13
CrossRef citations to date
0
Altmetric
Special Review Series

Novel scientific approaches and future research directions in understanding ITP

ORCID Icon, ORCID Icon, , ORCID Icon & ORCID Icon
Pages 315-321 | Received 04 Feb 2020, Accepted 06 Feb 2020, Published online: 13 Feb 2020
 

Abstract

Diagnosis of immune thrombocytopenia (ITP) and prediction of response to therapy remain significant and constant challenges in hematology. In patients who present with ITP, the platelet count is frequently used as a surrogate marker for disease severity, and so often determines the need for therapy. Although there is a clear link between thrombocytopenia and hemostasis, a direct correlation between the extent of thrombocytopenia and bleeding symptoms, especially at lower platelet counts is lacking. Thus, bleeding in ITP is heterogeneous, unpredictable, and nearly always based on a multitude of risk factors, beyond the platelet count. The development of an evidence-based, validated risk stratification model for ITP treatment is a major goal in the ITP community and this review discusses new laboratory approaches to evaluate the various pathobiologies of ITP that may inform such a model.

Authorship

S.M.H and E.E.G drafted the manuscript. All authors contributed to the review of the manuscript. Images were created with the help of https://smart.servier.com/

Conflict of interest disclosure

The authors declare no competing financial interests.

Additional information

Funding

This work was supported by the National Health and Medical Research Council of Australia, the Australian Research Council, the National Blood Authority and the Australian Capital Territory Department of Health. SMH was supported by an Australian Postgraduate Scholarship.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.