Exploring the Link Between Mtor Inhibitors and Interstitial Lung Diseases: A Disproportionality Analysis Using Fda Adverse Event Reporting System Database

Author:

Shaji Anakha1,Sony Aliena1,Mytheen Shefin1,Tom Antriya Annie2

Affiliation:

1. Kerala University of Health and Sciences

2. Kerala University of Health and Sciences Kerala

Abstract

Abstract Background: The mammalian target of rapamycin (mTOR) inhibitors are immunosuppressive agents used to prevent organ transplant rejection. This class of drugs has shown significant high incidence of interstitial lung disease (ILD). Objective: This study aims to find out the potential safety signal associated between mTOR inhibitors and ILD by Food and Drug Administration Adverse Event Reporting System (FAERS) databases. Methods: Publicly available FAERS database was used to perform a case/non-case retrospective disproportionality analysis (2009Q1 to 2022Q3). OpenVigil 2.1MedDRA v24 was used to extract and filter data from FAERS database. The preferred term used for the study was “interstitial lung disease” and the drugs included ere everolimus, sirolimus and temsirolimus. Reporting odds ratio (ROR), proportional reporting ratio (PRR) and information component (IC) were used to detect signal. Results: Overall, 62,117 AE reports related to mTOR inhibitors were recorded during the period. Of these 1,027 AE reports on ILD were submitted to the FAERS database. Everolimus accounted for 723, sirolimus for 191 and temsirolimus for 113 cases of ILD reports associated with mTOR inhibitors. On performing age and gender stratification, it was found that the age group of 19-64yrs and female sex had the highest signal strength. Conclusion: This study has shown positive signals for ILD with everolimus, sirolimus, and temsirolimus which were not yet established in clinical trials. Further study with well-designed epidemiological data is required to validate these results.

Publisher

Research Square Platform LLC

Reference28 articles.

1. Promoting and Protecting Public Health: How the European Union Pharmacovigilance System Works;Santoro A;Drug Saf.,2017

2. Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system;Harpaz R;Clin Pharmacol Ther,2013

3. Viswam Subeesh1, *, Eswaran Maheswari2, Ganesan Rajalekshmi Saraswathy2, Ann Mary Swaroop3, Satya Sai Minnikanti3A Comparative Study of Data Mining Algorithms used for Signal Detection in FDA AERS Database Journal of Young Pharmacists, 2018; 10(4):444–449 Original Article | doi:10.5530/jyp.2018.10.97

4. Novel adverse events of vortioxetine: A disproportionality analysis in USFDA adverse event reporting system database;Subeesh V;Asian J Psychiatr,2017

5. Disproportionality Analysis of Tumour Lysis Syndrome Associated with Brutons Tyrosine Kinase Inhibitor using Food and Drug Administration Adverse Events Reporting System (FAERS) Database;Zeba Zeba Amruntha

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