key: cord-0004538-91a7sgir
authors: Han, Nayoung; Oh, Jung Mi; Kim, In-Wha
title: Assessment of adverse events related to anti-influenza neuraminidase inhibitors using the FDA adverse event reporting system and online patient reviews
date: 2020-02-20
journal: Sci Rep
DOI: 10.1038/s41598-020-60068-5
sha: 362dfc2cb1dddd7ebb7ffc165aa8dcd8fe7a76b1
doc_id: 4538
cord_uid: 91a7sgir

The recommended antiviral drugs available for the treatment and prevention of influenza are neuraminidase inhibitors (NAIs). The aim of this study was to evaluate age-related clinical manifestations of adverse events (AEs) related to NAIs. FAERS and WebMD data were downloaded. The available NAIs selected for the analysis were oseltamivir, peramivir, zanamivir, and laninamivir. Disproportionality was analyzed using the proportional reporting ratio (PRR), the reporting odds ratio (ROR), and the information component (IC) methods. In total, 16729 AEs from 4598 patients and 575 AEs from 440 patients in the FAERS and WebMD, respectively, were included in the analysis. In the FAERS, AEs were more common among those who were younger (<19 years) for zanamivir, while for those who were older (>65 years) for peramivir. A disproportionality analysis showed that signals for vomiting and hallucinations were detected in younger patients given oseltamivir, while an abnormal hepatic function, cardiac failure, shock, and cardio-respiratory arrest were detected in older patients given peramivir. Psychiatric disorders were most common in younger and older patients, while gastrointestinal disorders were most common in adult given oseltamivir in the WebMD. Adverse symptoms related to NAIs varied and depended on the drugs used and the age of the patient.

Characteristics of the study population from the FAERS. Each case patient has more than one preferred term for a specific drug reported, therefore resulting in more than one drug-AE pair for each AE report. In total, 16729 AEs from 4598 patients from January of 2013 to December of 2018 were included in the analysis of the NAIs and AEs from the FAERS data. The characteristics of the patients and the AE reports from the FAERS are presented in Table 1 . The mean age of the patients was 30.54 and 58.75 years for oseltamivir and peramivir, respectively. A mean of 3.83 for AEs on average was reported per patient administered with oseltamivir, and these patients were co-administered with a mean of 8.21 for other drugs. AEs were more common among younger patients (73 out of 238, 30.67%) for zanamivir, while they were more common for older patients (94 out of 148 AEs, 63.51%) for peramivir. AEs by NAIs from the FAERS. The system organ classes of AEs reported for NAIs are shown in Table 2 .

AEs were most frequently reported for oseltamivir (15409, 92.11%), followed by zanamivir (891, 5.33%), peramivir (345, 2.60%), and laninamivir (84, 0.50%). Psychiatric disorders (1880, 12.20%) were the most common AE clinical symptoms for oseltamivir. The occurrence rates of psychiatric disorders of zanamivir, laninamivir, and peramivir were 9.09%, 2.38%, and 1.16%, respectively. Cardiac and vascular disorders (9.57% and 9.28%, respectively) were the most common AEs for peramivir, while general disorders and administration site conditions (113, 12.68%) were the most common AEs for zanamivir. A disproportionality analysis showed that the signals of vomiting, hallucination, headache, insomnia, fatigue, and dizziness were detected for oseltamivir (Table 3) . There was no AE signal defected for laninamivir, peramivir, and zanamivir. Therefore, a further subgroup analysis was conducted with younger and elderly patients. The disproportionality analysis showed that signals for vomiting and hallucinations were detected in younger patients (<19 years) given oseltamivir, while an abnormal hepatic function, cardiac failure, shock and cardio-respiratory arrest were detected in older patients (>65 years) given peramivir (Table 4) . www.nature.com/scientificreports www.nature.com/scientificreports/ Characteristics of the study population from the WebMD. In total, 396 review comments and 440 subjects from 413 reviewers from Oct 2007 to May 2019 were included in the NAI-associated AEs analysis after excluding instances with no comments from the WebMD data. The characteristics of the subjects from WebMD are presented in Table 5 . These subjects consisted of 74 younger (16.82%), 318 adult (72.27%), and 25 older subjects (5.68%). Review comments were most frequently reported for oseltamivir at 418 (95.00%), followed by zanamivir at 21 (4.77%). The content themes of the review comments contained mostly reasons why the medicines were being taken (270, 35.52%) and AEs (288, 37.89%).

AEs by NAIs from the WebMD. AEs were most frequently reported for oseltamivir (525, 96.33%), followed by zanamivir (20, 3.67%). Among those taking oseltamivir, psychiatric disorders (162, 30.86%) were the most common symptoms, followed by gastrointestinal disorders (157, 29.90%) and cardiac disorders (46, 8.76%) ( Table 6 ). Psychiatric disorders were most common in younger (7.56%) and older (3.92%) patients, while gastrointestinal disorders were most common in adult patients (35.85%) given oseltamivir (Table 7) .

NAIs remain a widely licensed class of antiviral drugs appropriate for the treatment and prophylaxis of seasonal influenza 23 . However, there is still concern regarding the adverse effects of NAIs. This study analyzed the age-related AEs associated with NAIs using data from FAERS and WebMD.

The results of this study demonstrated that the occurrence rate of AEs and adverse symptoms varied and depended on the NAIs used and the age of the patient, despite the considerable degree of structural similarity. Oseltamivir was the NAI most commonly showing AEs in the FAERS data, and the most common AEs for this drug were psychiatric and gastrointestinal disorders, similar to the findings of previous studies 8, [13] [14] [15] [16] . For zanamivir, the most common AEs were general disorders and administration site conditions, consistent with a previous report 4 . The signal detection PRR, ROR, and IC methods were able to detect several AEs associated with oseltamivir only in the FAERS data. The most likely cause is the extremely low number of AE cases for other NAIs. To support our results, sensitivity analyses were conducted using the disproportionality method stratified according to gender or type of reporter. Similar trends were observed in other sensitivity analysis that limited the data further via certain gender or health professional reporters. Additionally, AE signals for vomiting and hallucinations were detected in younger patients given oseltamivir, while an abnormal hepatic function, cardiac failure, shock and cardio-respiratory arrest were detected in older patients given peramivir. However, in the WebMD data, we could not detect signals by these disproportionality analyses due to the small number of AE cases, although psychiatric and gastrointestinal disorders were the most common AEs reported. The numbers of the younger and www.nature.com/scientificreports www.nature.com/scientificreports/ older subjects were quite low compared to the number of adults in the WebMD data, possibly due to the low rate of accessibility to the internet or digital devices and/or the recognition of the need to report.

Oseltamivir phosphate is an oral prodrug which undergoes hydrolysis by hepatic esterases to convert an active metabolite, oseltamivir carboxylate 24 . Oseltamivir can induce neuropsychiatric adverse effects with either a sudden or delayed onset. Sudden-onset reactions are due to the direct effects of oseltamivir on the central nervous system, whereas delayed-onset reactions are due to the effects of oseltamivir carboxylate [24] [25] [26] . Oseltamivir phosphate itself can cause the central depressant actions that may result in abnormal behavior, delirium, hallucinations, sleep, and respiratory depression 26 . Oseltamivir phosphate can inhibits nicotinic acetylcholine receptors and monoamine oxidase A. Additionally, gamma-aminobutyric acid receptors and N-methyl-D-aspartate and their related receptors/channels are thought to be other candidates related to respiratory suppression 24 . It has been shown that while oseltamivir carboxylate cannot pass through the blood-brain barrier (BBB) readily, it may do so when combined with other agents or when the BBB is immature or impaired 12 . Most oseltamivir-induced neuropsychiatric adverse effects have been reported in Asian populations 14, 15, 26 . Li et al. hypothesized that a nonsynonymous single-nucleotide polymorphism rs2233385, near the active site of human cytosolic sialidase which is a homolog of the virus neuraminidase and presents in Asian populations (9.29%), could increase the binding affinity of sialidase to oseltamivir carboxylate, thus reducing the sialidase activity and contributing to the occurrence of severe neuropsychiatric adverse effects 27 .

It has been reported that the most commonly reported events when using zanamivir as a treatment were gastrointestinal and respiratory, thoracic and mediastinal disorders, but the incidences were similar to those in a placebo group 28 . The most frequently reported AEs of laninamivir were gastrointestinal disorders (27.0%), psychiatric disorders (26.8%), and skin disorders (18.7%) during early post-marketing phase vigilance 29 . The AEs of peramivir were a high mortality rate, the development of acute respiratory distress syndrome (7%), and renal Table 5 . Demographic characteristics of the subjects from the WebMD data. a Total number of themes counted in each review. This is greater than the total number of reviewers because some reviews had more than one theme tied for the concern.

Scientific RepoRtS | (2020) 10:3116 | https://doi.org/10.1038/s41598-020-60068-5 www.nature.com/scientificreports www.nature.com/scientificreports/ failure (5%) in the FAERS system 30 . These results were similar to the results here. However, an abnormal hepatic function and cardiac failure were detected in older patients given peramivir in our results. To the best our knowledge, this is the first study that compares NAI-related AEs in senior citizen patients using FAERS data. Because it is noteworthy that cardiovascular risks are high in older persons, care must be taken when administering these drugs in this population.

A disproportionality analysis alone is not sufficient proof of the drug AE association nor a causality assessment of an individual report 31 . There is no way to determine exactly how many people took a particular drug, nor is there any method by which to ascertain how many events occurred when they took the drug. Therefore, in our study, we do not know actual real number of patients exposed to NAIs. Accordingly, it is difficult to assess the relationship between their AEs and incidence rates. It has been reported that there were 2, 102, 885 prescriptions of oseltamivir capsules, 494, 188 prescriptions of oseltamivir powder, and 7, 955 prescriptions of zanamivir among 101, 947, 808 outpatients from 2010 to 2015 in the Sentinel System of the Centers for Disease Control and Prevention's Influenza-like Illness Surveillance Network System and National Respiratory and Enteric Virus Surveillance System 32 .

Pharmacoepidemiological methods as presented in case-control or cohort studies are considered as the best sources of drug safety data. However, they are also associated with several unfavorable methodological issues, such as a limited sample size, reduced follow-up, and evaluations of surrogate markers 33 . Fortunately, a quantitative means of comparing the AE rates of one drug with those of all other drugs is now available. Nevertheless, the outcomes of comparisons of AE rates through a disproportionality analysis can be influenced by many factors, including absolute report numbers, the presence of other AEs associated with the same drug, significant heterogeneity, and potential bias issues such as physician preference for one drug over others and a patient's negative experience with a certain product along with reporting biases such as underreporting 34 . Additionally, other factors that can influence the association between the frequency of AE reporting and medicine include the length of time the medicine has been marketed and the extent of publicity about new safety concerns. Furthermore, with this approach it is necessary for each AE report to be validated before any analysis in the context of the pharmacological and medical hypothesis of the study in order to prevent false results 35 .

Another limitation of this study was that the reported numbers of adverse cases for NAIs were low, except for that associated with oseltamivir, possibly because the AE reports were submitted voluntarily, leading to their being underreported, or there may have been cases which lacked approval by the U.S. FDA. However, the early detection of AEs and risk evaluations in vulnerable populations are important. Continued efforts with regard to www.nature.com/scientificreports www.nature.com/scientificreports/ the identification and evaluation of AEs associated with NAIs as well as to understand their underlying susceptibility mechanisms, are needed to treat and manage AEs more efficiently in patients with influenza.

In conclusion, AEs associated with NAIs were analyzed using data from the two databases. Serious AEs associated with NAIs may have a significant impact on younger or older patients. From the findings here, younger or older patients should be monitored carefully for AEs when treated with NAIs.

Data collection. The study population consisted of patients reported to have AEs in the FAERS and WebMD datasets. Reported AE cases related to NAIs from the FAERS database were used in this study. AEs and medication errors are coded to terms in the Medical Dictionary for Regulatory Activities (MedDRA) terminology 36 . The FAERS data from 2013 to 2018 were downloaded. Duplicated reports were deleted according to the U.S. FDA's recommendation of adopting the most recent case number. The drug lexicon was devised using both the generic and trade names in the FAERS database. The available NAIs selected for the analysis were oseltamivir, peramivir, zanamivir, and laninamivir. The preferred term and the system organ classes in the MedDRA were used for further analysis. Two or more preferred terms reported in one patient were counted as different AEs. Instances of co-administration with NAIs were excluded from any further analysis. For text mining, subject comments pertaining to oseltamivir, peramivir, and zanamivir downloaded from WebMD 37 using the python-based library Beautiful Soup 38 . The WebMD data from Oct 2007 to May 2019 were downloaded. Each reported symptom was assigned the preferred terms in the MedDRA terminology manually. Information about age, sex, condition, reviewer types, report date, and treatment duration was collected.

Statistical analysis. Patients were classified into three age groups: children and adolescents (age <19 years), adults (age 19-64 years) and older people (age ≥65 years). The MedDRA preferred term was used for a quantitative disproportionality analysis. Disproportionality was analyzed using the proportional reporting ratio (PRR) 39 , the reporting odds ratio (ROR) 40 , and the information component (IC) methods 41 . The PRR is calculated according to the ratio of the proportion of all reported cases of the event of interest among people exposed to a particular drug to the corresponding proportion among people exposed to all or several other drugs 39 . The ROR is calculated according to ratio of the odds of the reporting of one specific event versus all other events for a given drug relative to the matching reporting odds for all other drugs 40 . The IC measure can be considered as the calculation of the logarithm of the ratio of the observed rate of reporting of a specific drug-AE combination to the expected rate under the null hypothesis of no association between the drug and AE 41 . For the PRR, a given drug AE pair was defined as a signal if the event count was 3 or more, while the PRR was 2 or more with an associated chi-square value of 4 or more 39 . For the ROR, it was defined if the lower limit of the 95% two-sided confidence interval (CI) of ROR exceeded 1 40 . The information component (IC) algorithm performs signal detection via the IC025 metric, which is a lower bound of the 95% two-sided confidence interval of IC, with an AE signal indicated when the IC025 value exceeds 0 41 . For the WebMD data, the frequency of each theme of a patient medication concern was computed for each comment, with these outcomes then summed for all comments. Data were analyzed with Microsoft EXCEL 2016 (Microsoft, Redmond, WA, USA) and SAS version 9.4 (SAS Institute Inc., Cary, NC, USA).

The datasets generated during the current study are available from the corresponding authors on reasonable request.

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This study was supported by the National Research Foundation of Korea grant funded by the Korea government (MSIT) (No. 2018R1A2B6001859).

N.H. analyzed the data and prepared the manuscript. I.W.K. and J.M.O. contributed to the conception and design of the study. All authors were engaged in commenting on the manuscript, read, and approved the final manuscript.

The authors declare no competing interests.

Correspondence and requests for materials should be addressed to J.M.O. or I.-W.K.Reprints and permissions information is available at www.nature.com/reprints.Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.