Evidence map›Paper›PMID 41625062›Full record

ArticleCureus2026

A Case Report on Emergency Medicine: Suspected Acquired Hemophilia A in an Older Adult Male.

Alexandria Smith Martin, Patrick Cody, Liliana Lazar

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Alexandria Smith MartinGraduate Medical Education, Medical University of the Americas, Devens, USA.
Patrick CodyEmergency Department, SSM Health St. Anthony Hospital, Oklahoma City, USA.
Liliana LazarGraduate Medical Education, Medical University of the Americas, Devens, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acquired hemophilia A (AHA) is a rare autoimmune disorder caused by autoantibodies against factor VIII, leading to severe bleeding. According to the European Acquired Hemophilia (EACH2) registry, AHA has an incidence of approximately 1.5 cases per million per year, most often presenting in the elderly population. This case report highlights the diagnostic challenges and multidisciplinary management of a high-titer inhibitor in an elderly male with delayed presentation. A 65-year-old male presented with persistent bleeding from a sutured laceration and new-onset atrial fibrillation. Laboratory findings revealed an isolated prolonged partial thromboplastin time (PTT) (unresponsive to mixing studies, with lupus anticoagulant excluded), factor VIII activity of 1%, and a high-titer inhibitor (268.3 BU via Nijmegen-Bethesda assay). The patient had experienced prolonged bleeding after dental surgery and testosterone implantation, which was initially overlooked. Emergency management included recombinant factor VIIa (rFVIIa) for hemostasis and methylprednisolone for immunosuppression, resulting in partial response (factor VIII activity: 3%; inhibitor titer: 92 BU). This case highlights that AHA should be suspected in patients with unexplained bleeding, even in the absence of a prior bleeding history. The study concluded that: (1) mixing studies and Bethesda assays are key for a diagnosis of AHA, (2) bypassing agents (e.g., rFVIIa) should be prioritized for acute bleeding, and (3) multidisciplinary efforts can improve outcomes in complex cases. The patient's delayed diagnosis despite prior bleeding episodes shows the need for increased clinical vigilance.

Indexed as

acquired hemophilia ableeding disordercase reportfactor viii inhibitormultidisciplinary management

Identifiers

PMID41625062
PMCPMC12860390

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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.