Evidence map›Paper›PMID 41798542›Full record

ArticleCureus2026

Cephalexin-Induced Autoimmune Hemolytic Anemia: A Case Report.

Jesse Albano, Allison Mogensen, Cara Christopher

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.

Jesse AlbanoDepartment of Pharmacy, Maimonides Medical Center, Brooklyn, USA.
Allison MogensenDepartment of Pharmacy, Yale New Haven Hospital, New Haven, USA.
Cara ChristopherDepartment of Pharmacy Practice and Administration, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune hemolytic anemia (AIHA) is an acquired form of hemolytic anemia with several serological subtypes, including drug-induced immune hemolytic anemia (DIIHA). Due to the complex nature of diagnosis, many of the published reports rely on establishing a temporal relationship between drug exposure and symptom onset. To date, only four case reports have suggested a possible association between cephalexin and DIIHA. Here, we present a case of AIHA that occurred following exposure to cephalexin. An 85-year-old female presented with fatigue, dyspnea, and orange urine following initiation of cephalexin three days prior. The patient presented with a positive direct antibody test and a hemoglobin level of 4.7 g/dL, following 15.1 g/dL three days prior. A direct antiglobulin test was initially positive for immunoglobulin G and complement component 3, which eventually tested negative five months later. The patient required blood transfusions, intravenous immunoglobulin, and prednisone with eventual recovery and discharge. The onset of AIHA three days after starting cephalexin and its subsequent resolution following discontinuation of the drug is strongly suggestive of a diagnosis of DIIHA secondary to cephalexin. The patient tolerated other cephalosporins in the past without an immediate immune response. DIIHA is rare, and cephalexin is a seldom-implicated agent. Cephalexin can result in profound DIIHA, requiring transfusions and prolonged hospitalization when used at a typical dose. The case draws awareness to the importance of recognizing signs and symptoms of DIIHA early on so that the offending agent can be discontinued and the appropriate testing and treatment can be performed.

Indexed as

autoimmune hemolytic anemiacase reportcephalexincephalosporinsdrug-induced immune hemolytic anemia

Identifiers

PMID41798542
PMCPMC12962558

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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.