Evidence map›Paper›PMID 42367412›Full record

ArticleCureus2026

A Unique Case of Atypical Hemolytic Uremic Syndrome Secondary to Alcohol-Induced Acute Pancreatitis.

Tara C Prakash, Yashaswi Koguru, Chirag Lodha

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.

Tara C PrakashCell Biology and Physiology, Edward Via College of Osteopathic Medicine, Spartanburg, USA.
Yashaswi KoguruInternal Medicine, Grand Strand Medical Center, Myrtle Beach, USA.
Chirag LodhaInternal Medicine, University of South Florida (USF) Health, Tampa, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atypical hemolytic uremic syndrome (aHUS), also known as complement-mediated thrombotic microangiopathy (CM-TMA), is an extremely rare but potentially life-threatening disorder that presents with the triad of thrombocytopenia, hemolytic anemia, and acute renal failure. aHUS is attributed to genetic mutations in the complement regulation system and is typically triggered by events such as pregnancy, vaccination, or surgery. This case report describes a patient initially admitted for acute pancreatitis secondary to alcohol abuse who developed aHUS within 48 hours of admission. The diagnosis of aHUS was confirmed via a full diagnostic workup. Hematology recommended supportive care. The case was further complicated by acute hypoxic respiratory failure secondary to community-acquired pneumonia, which developed simultaneously with the aHUS. The patient's aHUS resolved as the acute pancreatitis resolved with supportive care, and the pneumonia resolved with antibiotics and inhaled corticosteroids, which likely helped improve the aHUS. When patients present with acute pancreatitis and hematologic abnormalities, clinicians should suspect aHUS and perform a thorough workup to distinguish between aHUS and other autoimmune hematologic conditions, such as typical hemolytic uremic syndrome (HUS), thrombotic thrombocytopenic purpura (TTP), or drug-induced complement-mediated anemia (CMA). While most reported cases have been treated with plasma exchange therapy or eculizumab, we present one of the few cases where the patient was treated with supportive care.

Indexed as

alcoholic pancreatitisatypical hemolytic syndromehematologyhemolytic uremic syndromemicroangiopathyoncology

Identifiers

PMID42367412
PMCPMC13310148

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.