Language：English   Publisher：Ja Clinical Reports  

Background: Anaphylaxis caused by intravenous acetaminophen is extremely rare, but a few case reports have identified mannitol, an excipient, as the causative component. Since mannitol is widely present in medications and foods, distinguishing the true antigen is essential to prevent recurrence. Case Presentation: A 67-year-old woman developed anaphylaxis with pulseless electrical activity during ophthalmic surgery after intravenous administration of acetaminophen (Acelio®). Allergy testing revealed positive reactions to both Acelio® and acetaminophen in skin tests and the basophil activation test, while reactions with mannitol were negative. Acetaminophen was confirmed as the causative agent. Hence, the patient was instructed to avoid only acetaminophen. Conclusions: Accurate identification of the causative component in intravenous acetaminophen formulations is critical. Clarifying whether the reaction is due to the active ingredient or an excipient such as mannitol helps prevent unnecessary drug restrictions and expands future treatment options.

DOI： 10.1186/s40981-025-00816-6

Open Access

Web of Science

Scopus

PubMed

Publisher：株式会社医学書院  

DOI： 10.11477/mf.1410215319

CiNii Research

Language：English   Publisher：Scientific Reports  

CorneAI for iOS is an artificial intelligence (AI) application to classify the condition of the cornea and cataract into nine categories: normal, infectious keratitis, non-infection keratitis, scar, tumor, deposit, acute primary angle closure, lens opacity, and bullous keratopathy. We evaluated its performance to classify multiple conditions of the cornea and cataract of various races in images published in the Cornea journal. The positive predictive value (PPV) of the top classification with the highest predictive score was 0.75, and the PPV for the top three classifications exceeded 0.80. For individual diseases, the highest PPVs were 0.91, 0.73, 0.42, 0.72, 0.77, and 0.55 for infectious keratitis, normal, non-infection keratitis, scar, tumor, and deposit, respectively. CorneAI for iOS achieved an area under the receiver operating characteristic curve of 0.78 (95% confidence interval [CI] 0.5–1.0) for normal, 0.76 (95% CI 0.67–0.85) for infectious keratitis, 0.81 (95% CI 0.64–0.97) for non-infection keratitis, 0.55 (95% CI 0.41–0.69) for scar, 0.62 (95% CI 0.27–0.97) for tumor, and 0.71 (95% CI 0.53–0.89) for deposit. CorneAI performed well in classifying various conditions of the cornea and cataract when used to diagnose journal images, including those with variable imaging conditions, ethnicities, and rare cases.

DOI： 10.1038/s41598-024-66296-3

Open Access

Web of Science

Scopus

PubMed