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      Stevens-Johnson Syndrome Following Vancomycin and Linezolid: A Real-World Analysis of Post-Marketing Surveillance Data

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          Abstract

          Background: Stevens-Johnson syndrome (SJS) has been reported as a serious adverse effect in patients treated with vancomycin or linezolid, and there is currently a lack of real-world studies comparing specific differences in adverse effects of SJS.

          Methods: According to the FDA’s Adverse Event Reporting System (FAERS), from January 2004 to July 2021, the data of suspected SJS after the use of vancomycin and linezolid were analyzed by imbalance and Bayesian analysis. The onset time, fatality rate and hospitalization rate of vancomycin-associated SJS and linezolid-associated SJS were also investigated.

          Results: 276 cases of vancomycin-related SJS reports and 63 cases of linezolid-related SJS reports were identified. These two drugs are more common in middle-aged patients (45–64 years) than other age groups, and less common in underage children (<18). Among them, linezolid-related SJS is more common in middle-aged and elderly patients (45–74 years old) than other groups. Except for unspecified data, in vancomycin-associated SJS cases, there are more men than women (49.28% vs 43.84%), while in linezolid-associated SJS cases, the proportion of men and women is almost equal (44.44%). From the point of view of the areas where adverse reactions were reported, about 1/2 of the reports on Vancomycin-related SJS came from North America, and 1/3 of the reports came from Europe. The median onset time of Linezolid-related SJS was 5 days (interquartile range [IQR] 2–7.75), which was significantly earlier than that of Vancomycin-related SJS (12 days, IQR 4–20) (Mann-Whitney test, p < 0.0001). There were no significant differences in mortality and hospitalization rates after vancomycin and linezolid caused SJS.

          Conclusion: The analysis of faers data provides a comprehensive overview of the adverse reactions of SJS caused by the use of vancomycin and linezolid, and can warn clinical workers to timely intervene and continuously monitor the patients at risk of SJS when using such drugs.

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          Most cited references26

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          Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports.

          The process of generating 'signals' of possible unrecognized hazards from spontaneous adverse drug reaction reporting data has been likened to looking for a needle in a haystack. However, statistical approaches to the data have been under-utilised. Using the UK Yellow Card database, we have developed and evaluated a statistical aid to signal generation called a Proportional Reporting Ratio (PRR). The proportion of all reactions to a drug which are for a particular medical condition of interest is compared to the same proportion for all drugs in the database, in a 2 x 2 table. We investigated a group of newly-marketed drugs using as minimum criteria for a signal, 3 or more cases, PRR at least 2, chi-squared of at least 4. The database was used to examine retrospectively 15 drugs newly-marketed in the UK, with the highest levels of ADR reporting. The method identified 481 signals meeting the minimum criteria during the period 1996-8. Further evaluation of these showed that 70% were known adverse reactions, 13% were events which were likely to be related to the underlying disease and 17% were signals requiring further evaluation. Proportional reporting ratios are a valuable aid to signal generation from spontaneous reporting data which are easy to calculate and interpret, and various refinements are possible.
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            A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions.

            A continuous systematic review of all combinations of drugs and suspected adverse reactions (ADRs) reported to a spontaneous reporting system, is necessary to optimize signal detection. To focus attention of human reviewers, quantitative procedures can be used to sift data in different ways. In various centres, different measures are used to quantify the extent to which an ADR is reported disproportionally to a certain drug compared to the generality of the database. The objective of this study is to examine the level of concordance of the various estimates to the measure used by the WHO Collaborating Centre for International ADR monitoring, the information component (IC), when applied to the dataset of the Netherlands Pharmacovigilance Foundation Lareb. The Reporting Odds Ratio--1.96 standard errors (SE), proportional reporting ratio--1.96 SE, Yule's Q--1.96 SE, the Poisson probability and Chi-square test of all 17,330 combinations were compared with the IC minus 2 standard deviations. Additionally, the concordance of the various tests, in respect to the number of reports per combination, was examined. In general, sensitivity was high in respect to the reference measure when a combination of point- and precision estimate was used. The concordance increased dramatically when the number of reports per combination increased. This study shows that the different measures used are broadly comparable when four or more cases per combination have been collected.
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              Explaining odds ratios.

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                Author and article information

                Contributors
                Journal
                Front Pharmacol
                Front Pharmacol
                Front. Pharmacol.
                Frontiers in Pharmacology
                Frontiers Media S.A.
                1663-9812
                28 April 2022
                2022
                : 13
                : 872854
                Affiliations
                [1] 1 Department of Pharmacy , Shanghai Children’s Hospital , Shanghai Jiao Tong University , Shanghai, China
                [2] 2 Department of Clinical Pharmacy , Shaoxing Maternity and Child Health Care Hospital , Shaoxing, China
                [3] 3 Shanghai Jiao Tong University School of Medicine , Shanghai, China
                [4] 4 Department of Pharmacy , Peking Union Medical College Hospital , Peking Union Medical College , Chinese Academy of Medical Sciences , Beijing, China
                Author notes

                Edited by: Jian Gao, Shanghai Children’s Medical Center, China

                Reviewed by: Zhao Libo, Capital Medical University, China

                Haibin Dai, Zhejiang University, China

                *Correspondence: Bin Zhao, zhaobin@ 123456pumch.cn ; Zhi-Ling Li, lizhiling22@ 123456163.com
                [ † ]

                These authors have contributed equally to this work

                This article was submitted to Obstetric and Pediatric Pharmacology, a section of the journal Frontiers in Pharmacology

                Article
                872854
                10.3389/fphar.2022.872854
                9096025
                35571089
                61c1719d-3a42-43b5-be39-2866c9ab20ba
                Copyright © 2022 Ni, Yin, Hu, Zeng, Zhao and Li.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 10 February 2022
                : 06 April 2022
                Categories
                Pharmacology
                Original Research

                Pharmacology & Pharmaceutical medicine
                vancomycin,linezolid,epidemiology,sjs,adverse event reporting system

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