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Dataset Information

Algorithm-based effective recognition of acquired hemophilia A and other causes of isolated prolonged activated partial thromboplastin time within large blood sample series.


ABSTRACT:

Background

Among the various causes of isolated prolonged activated partial thromboplastin time (aPTT), acquired hemophilia A (AHA) is a rare disorder whose timely recognition is often missed clinically. Consequently, there is a need for a laboratory approach that allows for rapid and reliable evaluation of the causes of an isolated prolonged aPTT within large series of blood samples without specific diagnostic hypotheses.

Objectives

To create and implement an automated sequential laboratory-based algorithm to facilitate early AHA diagnosis.' in a new line below the Background section in the Abstract.

Methods

A multistep automated algorithm was developed and validated to target blood samples sent for routine coagulation assays, actively excluding samples with an under

SUBMITTER: Turincev P 

PROVIDER: S-EPMC12510200 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature