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Data mining of hematological adverse events related to antibody-drug conjugate based on FAERS

Published on Feb. 18, 2024Total Views: 968 times Total Downloads: 516 times Download Mobile

Author: DENG Huijie 1, 2 LIU Xia 3 LI Bing 1 SHAN Qing 1 CHEN Yan 1 GUO Yuhang 1 GUO Jinmin 1

Affiliation: 1. Department of Clinical Pharmacy, the 960th Hospital of the Joint Logistics Support Force of the Chinese People’s Liberation Army, Jinan 250031, China 2. Department of Pharmacy, the 960th Hospital of the Joint Logistics Support Force of the Chinese People’s Liberation Army, Jinan 250031, China 3. Department of Clinical Pharmacy, School of Pharmacy, Naval Medical University, Shanghai 200433, China

Keywords: Antibody drug conjugates Hematological adverse events FAERS database Data mining Report ratio ratio method Information component method Pharmacovigilance

DOI: 10.12173/j.issn.1005-0698.202304131

Reference: DENG Huijie, LIU Xia, LI Bing, SHAN Qing, CHEN Yan, GUO Yuhang, GUO Jinmin.Data mining of hematological adverse events related to antibody-drug conjugate based on FAERS[J].Yaowu Liuxingbingxue Zazhi,2024, 33(2):158-165.DOI: 10.12173/j.issn.1005-0698.202304131.[Article in Chinese]

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Abstract

Objective  Based on the U. S. Food and Drug Administration Adverse Event Reporting System (FAERS) database, data mining was conducted on hematological adverse events related to antibody drug conjugates (ADC), providing reference for the safe use of ADC drugs in clinical practice.

Methods  The report data from the third quarter of 2011 to the fourth quarter of 2022 were retrieved from the FAERS database. After data cleaning such as deduplication and name standardization, extract hematological adverse events related to ADC, and use report odds ratio method and the information component method for signal detection.

Results  A total of 101 610 adverse event reports were extracted, with 8 ADC drugs as the primary suspected drugs, and 5 768 ADC related hematological adverse event reports. Among them, 3 423 cases of agranulocytosis were involved, and the signal intensity from strong to weak were sacituzumab govitecan (SG), gemtuzumab ozogamicin (GO), brentuximab vedotin (BV), polatuzumab vedotin (PV), enfortumab vedotin (EV), trastuzumab deruxtecan (TD), inotuzumab ozogamicin (IO) and ado-trastuzumab emtansine (TDM-1). There were 2 327 cases hematopoietic cell deficiency, with signals ranging from strong to weak were IO, SG, BV, EV, PV, TD, TDM-1, and GO. Report with clinical outcome of death of ADC drug related hematological adverse events included BV 179 (16.84%), TDM-1 102 (13.01%), TD 88 (27.08%), GO 12 (16.90%), IO 8 (11.59%), EV 54 (24.32%), PV 22 (27.16%), and SG 84 (21.05%). Adverse event time analysis showed that the number of events on the first day of TD, IO, and SG medication accounts for ≥ 40% of the total number of cases. The median time of hematological adverse events in TD, GO, IO, EV, PV, and SG was within one treatment course (21 days).

Conclusion  Attention should be paid to the risk of ADC drug-related hematological adverse event, during the clinical medication process, blood cell count changes should be closely monitored, and any abnormalities should be promptly diagnosed and treated.

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References

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