Evidence map›Paper›PMID 39732926›Full record

ArticleScientific reports2024

Analyzing the adverse events of NK-1 receptor antagonists: a pharmacovigilance study from the FAERS database.

Hong Pan, Xiang Shi, Yiguo Jiang, Jiaqiang Wu, Li Shen

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hong PanDepartment of Pharmacy, Wuxi No. 5 People's Hospital, Wuxi, 214007, China.
Xiang ShiDepartmen of Pharmacy, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, China.
Yiguo JiangDepartment of Pharmacy, Suzhou Research Center of Medical School, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, 215153, China.
Jiaqiang WuSchool of Life Sciences and Biopharmaceutical Science, Shenyang Pharmaceutical University, Shenyang, 110016, China. 18115846916@163.com.
Li ShenDepartment of Pharmacy, Suzhou Research Center of Medical School, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, 215153, China. lishen_clic@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNK-1 receptor antagonists (NK-1RAs) are proven to be successful in preventing chemotherapy-induced nausea and vomiting (CINV). The safety profile of NK-1RAs has not been systematically analyzed in the real world. This pharmacovigilance study investigated the differences in adverse events (AEs) between NK-1RAs.

methodsAdverse events (AEs) associated with NK-1RAs were gathered and standardized using data from the FAERS database spanning from the first quarter of 2009 to the fourth quarter of 2023. Various disproportionality techniques were employed for data analysis, such as the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS).

resultsA total of 5434AE reports listing NK-1RAs as the primary suspected drugs were identified. The System Organ Classes (SOC) appeared as significant safety signals were found. Among NK-1RAs, the most frequently reported AEs were related to general disorders and administration site conditions. In terms of PT level, the strong signals were mainly injection site reactions associated with aprepitant and fosaprepitant. Moreover, toxic encephalopathy and encephalopathy of the aprepitant were all positive with four algorithms. A significant finding was the recognition of adverse events linked to endocrine disorders, which were not previously mentioned in the medication instructions.

conclusionThe safety profile of NK-1RAs has been reported to be variable.If intravenous formulations were used in the clinic, injection site reactions should be a concern. In addition, more attention should be paid to the management of encephalopathy toxicity in patients treated with aprepitant in combination with ifosfamide. Besides known AEs, we have identified several new high-risk AEs, such as inappropriate antidiuretic hormone secretion, adrenal insufficiency and hyponatraemia. Overall, clinicians should closely monitor the occurrence of NK-1RA-related AEs in clinical applications.

Indexed as

Adverse Drug Reaction Reporting SystemsDatabases, FactualNeurokinin-1 Receptor AntagonistsPharmacovigilanceAdultAgedAprepitantBayes TheoremDrug-Related Side Effects and Adverse ReactionsFemaleHumansMaleMiddle AgedMorpholinesNauseaVomitingAprepitantfosaprepitantMorpholinesNeurokinin-1 Receptor AntagonistsAdverse eventsDrug safetyFAERS databaseNK-1 receptor antagonistsPharmacovigilance

Identifiers

PMID39732926
PMCPMC11682360

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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.