High risks adverse events associated with usage of aspirin in chronic obstructive pulmonary disease

ABSTRACT

Background

Despite potential benefits and widespread prescription of aspirin among chronic obstructive pulmonary disease (COPD) patients, limited research has investigated its adverse effects (AEs) in COPD population.

Methods

We conducted a retrospective analysis of adverse drug events (ADEs) reported in the US Food and Drug Administration Adverse Event Reporting System (FAERS) between Q1 2013 and Q2 2022. COPD patients were categorized into two groups based on aspirin use. ADEs related to aspirin use were identified using combined reporting odds ratio (ROR), proportional reporting ratio (PRR), information component (IC) methods.

Results

A total of 56,660 ADEs reports associated with COPD patients were included in the study. Among these reports, 144 adverse events were linked to aspirin use in COPD patients, including fatigue (4.12%), diarrhea (3.13%), dyspnea exertional (2.03%), rhinorrhea (1.99%), weight increased (1.89%) and vomiting (1.84%), muscle spasms (1.79%), cardiac disorder (1.74%), heart rate increased (1.69%) and peripheral swelling (1.59%). Subgroup analysis indicates that age and gender might affect the AEs frequency in COPD patients using aspirin.

Conclusions

Our findings identify 10 most frequently reported ADEs associated with aspirin use in COPD patients, thus offer valuable insights into the AEs of aspirin for safer clinical utilization in COPD management.

KEYWORDS:

• Aspirin
• COPD treatment
• adverse drug events
• FAERS database
• safe clinical utilization

Author contributions

Xiaohua Li: Formal analysis; Investigation; Validation; Visualization; Writing – original draft. Bin Dai: Data curation; Methodology; Writing – original draft. Qingbing Han: Data curation; Methodology; Writing – original draft. Yanqiu Wu: Conceptualization; Formal analysis; Methodology; Writing – original draft. Bi Ran: Investigation; Software; Validation; Visalization. Tao Wang: Conceptualization; Formal analysis; Investigation; Software. Fuqiang Wen: Funding acquisition; Methodology; Resources; Validation; Visualization; Writing – review & editing. Jun Chen: Funding acquisition; Project administration; Supervision; Writing – review & editing.

Declaration of interest

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Reviewer disclosures

Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/17476348.2023.2294927

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (NSFC) under Grant number 81830001, 81800015，82100047; 1•3•5 project for disciplines of excellence, West China Hospital, Sichuan University under Grant number ZYGD23009, ZYJC18012; Natural Science Foundation of Sichuan Province under Grant number 2022NSFSC0603; China Postdoctoral Science Foundation under Grant number M2021-702350.