Abstract
Opioids are mainly used as adjuncts to the induction and maintenance of general anesthesia, postoperative analgesia, and treating moderate to severe cancer pain and chronic pain. However, the hazards of these drugs to various organ organs still need to be further explored. This study used the US FDA Adverse Event Reporting System (FAERS) database to determine whether commonly receiving opioids was higher than the baseline risk for all other medications. FAERS was asked about adverse events (AEs) for the opioids “morphine,” “fentanyl,” “oxycodone,” “hydromorphone,” “sufentanil,” and “remifentanil” from the first quarter of 2004 (2004Q1) through the second quarter of 2023 (2023Q2). Disproportionality signaling analysis was performed by calculating reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM). AEs with system organ classes (SOCs) of “cardiac disease,” “neurologic disease,” and “respiratory, thoracic, and mediastinal disease” were then screened. The statistical analysis included 12,819,518 reports in the FAERS database from 2004Q1 to 2023Q2, of which 236,619 AEs were reported as “primary suspect” for the six drugs mentioned above, which were selected as “cardiac disorders,” “nervous system disorders,” and “respiratory, thoracic and mediastinal disorders.” Some AEs identified in this study are consistent with the drug labeling, such as bradycardia, respiratory depression, and somnolence. In addition, some unexpected and significant acute adverse drug reactions (ADRs), such as toxic leukoencephalopathy and coma, may occur. This study identified potential new and unexpected ADRs for opioids, providing valuable evidence for safety studies of opioids.
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Data availability
The datasets used and analyzed in the present study are available from the corresponding author on reasonable request.
Abbreviations
- FAERS:
-
FDA Adverse Event Reporting System
- AEs:
-
adverse events
- ADRs:
-
Adverse drug reactions
- PTs:
-
Preferred terms
- SOC:
-
System organ class
- ROR:
-
Reporting Odds Ratio
- PRR:
-
Proportional Reporting Ratio
- BCPNN:
-
Bayesian Confidence Propagation Neural Network
- EBGM:
-
Empirical Bayesian Geometric Mean
- 95% CI:
-
95% confidence interval
- IC:
-
Information component
- IC025:
-
The lower limit of 95% CI of the IC
- E(IC):
-
The IC expectations
- V(IC):
-
The variance of IC
- EBGM05:
-
The lower limit of 95% CI of EBGM
- ROR (95% CI):
-
95% confidence interval of ROR algorithm
- PRR (95% CI:
-
95% confidence interval of PRR algorithm
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This work was supported by the Wu Jieping Medical Foundation (No. 320.6750.2020-21-12).
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M.D. write this manuscript. X.D. and M.C. contributed to editing and revising the manuscript. Y.L. reviewed and approved the submitted manuscript. J.Y. and J.L. helped with the manuscript discussions. All authors contributed to the review and approved the submitted version. The authors declare that all data were generated in-house and that no paper mill was used.
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Dai, M., Dou, X., Chen, M. et al. Strong opioids-induced cardiac, neurologic, and respiratory disorders: a real-world study from 2004 to 2023 based on FAERS. Naunyn-Schmiedeberg's Arch Pharmacol (2023). https://doi.org/10.1007/s00210-023-02844-4
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DOI: https://doi.org/10.1007/s00210-023-02844-4