Evidence map›Paper›PMID 42100248›Full record

ArticleFrontiers in medicine2026

Drug-induced eosinophilic pneumonia: a real-world data mining study of the FAERS and Vigibase database reveals potential safety signals and risk patterns.

Jing Hu, Yao Sun, Cong Cheng, Sisi Wang, Xiangrong Zuo, Yun Liu

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jing Hu *Department of Pharmacy, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yao Sun *Department of Pharmacy, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Cong ChengDepartment of Pharmacy, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, China.
Sisi WangDepartment of Pharmacy, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Xiangrong ZuoDepartment of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yun LiuDepartment of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Eosinophilic pneumonia (EP) is an uncommon, idiopathic interstitial lung disease distinguished by the atypical accumulation of eosinophils within the pulmonary parenchyma and airways. The condition often presents insidiously and is frequently overlooked or misdiagnosed; pharmacological agents are among the acknowledged precipitants of this disorder. Methods: This is a retrospective pharmacovigilance investigation. We utilized the FAERS and Vigibase databases to detect adverse reactions associated with drug-related EP. Results: We identified a total of 15,374 cases of drug-induced EP in FAERS. The incidence was highest, at 24.1%, among individuals aged 45 to 64 years, with 35.4% of the affected patients requiring hospitalization. In terms of the numerical composition of PTs, pneumonitis was the most predominant PT. Although the proportion of PTs varied for each drug and pneumonitis remained the most common, antibacterials exhibited a higher prevalence of "eosinophilic pneumonia" and "pulmonary eosinophilia." Notable observations include significant signal variations between the two databases for certain drugs, yet all positive signal drugs identified by FAERS can be confirmed by Vigibase. Initial screening identified 302 suspect drugs; following disproportionality filtering, univariate analysis, and lasso shrinkage, 56 agents were retained. Nivolumab was the most frequently reported drug (1,377 reports), followed by pembrolizumab (1,070 reports) and daptomycin (758 reports), with daptomycin exhibiting the most significant statistical signal in FAERS. Time-to-onset analysis indicated that EP typically manifested early. Multivariable modeling identified higher body weight, advancing age, and polypharmacy as associated factors. The drugs most strongly associated with EP were daptomycin (OR 12.50, 95% CI 9.40-16.75), durvalumab (OR 5.17, 95% CI 3.74-7.14), fam-trastuzumab deruxtecan (OR 4.86, 95% CI 3.32-7.04), idelalisib (OR 4.74, 95% CI 3.13-7.07), and osimertinib (OR 3.21, 95% CI 2.11-4.79). Conclusion: The early discontinuation of the offending drug, timely initiation of corticosteroid therapy, and multidisciplinary collaboration are fundamental to achieving improved outcomes in cases of drug-induced eosinophilic pneumonia. This study offers substantial real-world evidence to facilitate the early identification and optimal management of eosinophilic pneumonia.

Indexed as

disproportionality analysiseosinophilic pneumoniaFDA adverse event reporting systempharmacovigilanceretrospective study

Identifiers

PMID42100248
PMCPMC13143844

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