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Pharmacovigilance Strategies to Address Resistance to Antibiotics and Inappropriate Use—A Narrative Review

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29 April 2024

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30 April 2024

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Abstract
The spread of antimicrobial resistance (AMR) is a global challenge. Close and continuous surveillance for quick detection of AMR can be difficult, especially in remote places. This narrative review focuses on the contributions of pharmacovigilance (PV) as an auxiliary tool for identifying and monitoring the ineffectiveness of, resistance to, and inappropriate use of antibiotics (ABs). The terms “drug ineffective,” “therapeutic failure,” “drug resistance,” “pathogen resistance,” and “multidrug resistance” were found in PV databases and dictionnaires, and denote ineffectiveness. These terms cover a range of problems that should be better investigated because they are useful in warning about possible causes of AMR. “Medication errors,” especially those related to dose and indication, are highlighted in the literature, suggesting inappropriate use of ABs. Hence, the included studies show that the terms of interest related to AMR are not only present but frequent in PV surveillance programs. This review illustrates the feasibility of using PV as a complementary tool for antimicrobial stewardship activities, especially in scenarios where other resources are scarce.
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Subject: Medicine and Pharmacology  -   Pharmacy

1. Introduction

Despite the many lives saved by the discovery of antibiotics (ABs), their use also favours the advancement of bacterial resistance. The excessive use of ABs in veterinary and agricultural settings, as well as their environmental presence lead to the development and spread of resistance genes. But, in addition to this panorama, another well-known and highly relevant driver of antimicrobial resistance (AMR) is indiscriminate exposure to these medicines in clinical settings (inappropriate prescribing, self-medication) [1,2,3,4,5,6,7,8].
The challenges in overcoming the global progression of AMR through the promotion of an accurate selection and adherence to the guidelines include the following: i) problems with the standardization of data and monitoring tools; ii) difficulty accessing adequate care for diagnosis and treatment; and iii) an increase in infections caused by resistant pathogens and the need for more effective treatments [9]. Additionally, dispensing without prescription is a widespread practice difficult to be controlled [10]. Low- and middle-income countries (LMICs) are most affected, especially with regard to investments in structure, specialized laboratories, and trained personnel for the diagnosis, monitoring, and evaluation (M&E) of AMR [11].
The World Health Organization Global Antimicrobial Resistance and Use Surveillance System (GLASS) was released in 2015 to try to fill gaps in coping with AMR [12]. In 2021, of the 216 countries, territories and areas in the world, only 55 (25%) provided data on antimicrobial consumption, and 87 (40%) provided bacterial identification results [13] Since the main cause of AMR is the inappropriate use of ABs, it is equally important to know (i) the prescription profile of these drugs; (ii) the degree of adherence to the treatment guidelines; and (iii) the pattern of nonprescription dispensing, as well as other situations that contribute to both excessive use and irrational consumption. To this end, M&E of the use at the national level and studies on the use of medicines at different levels of the supply chain that provide data at the local level are recommended [12,14].
The World Health Organization (WHO) developed the Access, Watch, and Reserve (AWaRE) classification to define appropriate prescription and use strategies and to facilitate the collection and comparison of data for the surveillance of AB consumption. This classification is based on the risk of resistance to different categories of antibiotics. The adoption of the AWaRE classification in national antibiotic management policies assists in the M&E of incorporated strategies to reduce AMR. The goal established by the WHO is for 60% of ABs consumed in a country to be by those considered to have a lower risk of AMR (the “Access” category) [15].
The consumption of ABs varies—between and within countries and regions—and is influenced by cultural, economic, and political factors [16,17]. In high-income countries, the consumption of AB decreased in the Access category between 2013 and 2018 [18]. The same was not observed in LMICs [19,20]. A recent review indicated that the general increase in the consumption of ABs in these countries, especially those in the Watch category, worsened during the COVID-19 pandemic [20]. In Brazilian intensive care units, for example, the consumption of Reserve AB reached 40% [17]. Consistently and uniformly evaluating antimicrobial consumption is a challenge in many countries, such as those in Latin America [21] and Africa [22]. The combined efforts of the most diverse areas of science are recommended, as resistance mechanisms are known for all ABs used in the clinic, and the discovery of promising new classes to treat bacterial infections is increasingly rare [23].
The guide for local policies of integrated antimicrobial stewardship (AMS), put together by the WHO, is based on five pillars: developing national coordination; ensuring access to and regulation of antimicrobials; improving awareness, education, and training; strengthening infection control through efforts focussed on the water supply, sanitation, and hygiene; and surveillance, M&E [24]. However, close and continuous surveillance for quick detection of inappropriate use and the appearance of AMR can be difficult, especially because well-equipped laboratories with trained personnel can be scarce in certain settings [9,25]. Hence, another helpful and inexpensive strategy has been suggested for challenging scenarios: the use of pharmacovigilance (PV) data to report suspected cases of AMR, therapeutic failure, and inappropriate or off-label use of AB [26,27,28,29,30,31].
This narrative review aims to synthesise the contributions of PV as an auxiliary tool for identifying and monitoring suspected ineffectiveness, resistance, and inappropriate use of antibiotics. In conducting this review, we aimed to identify studies that illustrated how PV strategies can be useful in: i) the timely identification of possible AMR clusters that guide authorities for specific testing, and ii) contributing to monitor ABs use.
The searches were performed in the PubMed, Embase, and Lilacs databases between December 2023 and March 2024 as follows: i) defining the search: (“adverse drug reaction reporting system” OR “pharmacovigilance”) AND (“anti-bacterial agents” OR “antibiotics”) AND (“drug misuse” OR “off-label” OR “therapeutic failure” OR “lack of effectiveness” OR “antibiotic resistance” OR “drug ineffective”). This search returned approximately 40 titles, but there were only a few articles of interest; ii) in the second step, a broader search strategy was used, focussing on studies published in the last five years (from 2019), with the terms (“adverse drug reaction reporting system” OR “pharmacovigilance”) AND (“anti-bacterial agents” OR “antibiotics”). Approximately 600 titles were screened from the 3 databases searched and; iii) additionally, related articles and references cited by the studies of interest were checked to find more eligible studies. Articles of interest in the English, Portuguese, and Spanish languages were identified. After reading them, the information they contained was organized and summarized under the following topics about the possible strategies within PV to identify ineffectiveness and inappropriate use of ABs.

2. The Role of PV

Beginning in the 1960s, after the thalidomide tragedy, the concepts of adverse drug reactions (ADRs) and PV were established and refined [32]. For more than 50 years, the WHO has contributed to the creation of PV systems based on the notification of suspected ADRs, with the objective of quickly identifying signals of unknown reactions and preventing new disasters such as those caused by thalidomide. Today, the WHO Program for International Drug Monitoring (WHO-PIDM) has been established in more than 170 countries [33]. Due to this network structure of countries covering 99% of the World population, the WHO-PIDM is the most extensive global network linking healthcare professionals and patients who can report any suspicion related to medicines use and safety through a simple, quick system that reaches the WHO-PIDM database [34].
According to the WHO, PV is “the science and the activities related to the detection, assessment, understanding, and prevention of adverse effects or any other medicine or vaccine-related problem” [35]. These activities consist of monitoring “events”, their collection, and research to detect any causal relationship between the medicine and the observed harm, i.e., an adverse “reaction”, defined as “a harmful effect suspected to be caused by a medicine” [36]. PV is based on the monitoring of large populations by the reports of multiple observers (health professionals, patients, and manufacturers). This same information allows the evaluation of the use of the involved medicines in different situations, an insight into the behavioural/epidemiological changes that populations are experiencing, and in the indirect evaluation of the observed risks and benefits [28,37].
Data from spontaneous reports are key sources for the identification of safety signals related to the use of medicines after they have been approved and commercialized, i.e., their use in real life [38,39,40]. One of the features of spontaneous reporting is the use of internationally standardized terminologies, allowing for better evaluation and comparison between different countries/regions [38,41]. In addition to the adverse effect itself, the information collected in the standard and simple report form lets us recognise the reason for using the medicine, medicines taken concomitantly, and the underlying diseases of patients affected by an ADR.
Like all types of studies, those based on PV reports have limitations, namely, potential biases due to incomplete data, errors in the classification/coding of adverse events (AEs), and, especially, underreporting [42,43,44] Still, PV is a useful method for quickly collecting reports of suspected events that, when they reach a critical number, become a signal that can be further investigated in detail, such as with additional methodologically sound studies when needed.
As the field of PV has evolved, large databases have been built at the national (for example, the Food and Drug Administration Adverse Event Reporting System (FAERS) in the United States), regional (for example, EudraVigilance), and global levels (VigiBase, in WHO-PIDM). In the specific field of ABs, the literature is rich in PV studies that evaluated the profile of AEs of these medicines. These studies aimed to identify the main substances related to a given event, or the reverse, the main events related to an AB, the frequency of observation of an AE/AB pair, and the evaluation of rare events or drug-drug interactions involving an AB, in addition to the identification of populations at risk. Supplementary Table S1 lists recent studies that exemplify the recognized goals of PV [38,39,40,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89].

3. PV Strategies Useful for Monitoring the Use of ABs and Combating AMR

ABs cause many of the AE reported in PV programs [90,91,92,93,94], especially those in the Watch category [20,31,90]. Interestingly, in addition to the adverse reactions themselves (for example, nausea, vomiting, diarrhoea, hypersensitivity, headache, etc.), the dictionaries that describe AEs include terms useful for identifying aspects related to their use. Thus, events such as “lack of the expected therapeutic effect”, “lack of efficacy”, “inappropriate use”, “use out of indication”, and even “suspicion of resistance to ABs” are already coded as Medical Dictionary for Regulatory Activities (MedDRA) terms [26,27,28,29,30,37,95,96]. This terminology is internationally standardized and widely used in health device information systems and VC databases worldwide [97]. Some researchers have noted that the identification of reports involving these terms in PV databases could be used as a proxy for inappropriate use or suspicion of resistance in the absence of specific methods for the detection of these problems [26,27,95,96,98,99].
A pilot study showed the feasibility of identifying treatment failures due to AMR in reports of ADRs in VigiBase [99]. Another study showed how PV data may be relevant in the monitoring of AMR by relating data from suspected AE reports to ABs used to treat carbapenemase-producing Klebsiella pneumoniae (KPC) infections in three different databases in two countries, with high (Italy) and low prevalence of KPC (United Kingdom), based on data on culture isolates provided by the European Center for Disease Prevention and Control. The positive correlations showed an overall increase in AE, as well as serious AEs related to KPC outbreaks in both countries, showing that it is possible to identify AMR outbreaks earlier by monitoring the evolution of AE notifications related to ABs [28].
Figure 1 summarizes the potential of PV databases as another tool in scenarios with few resources.
Figure 2 presents a scheme of the connections between the factors that influence the use of antibiotics in real life and their relationship with AMR that can be identified in PV studies.

4. PV as a Tool to Identify the Ineffectiveness of Antibiotics

There are many reasons why a medicine may not achieve its goal. Some of these issues are related to incidents such as the prescription of an inadequate dose, a choice of AB that disregards the clinical guidelines, or nonadherence to treatment. Other causes include drug-drug interactions, comorbidities (e.g., pharmacokinetic changes in critically ill patients), the nutritional status of the user, and the use of counterfeit drugs or drugs with low doses of the active ingredient, in addition to biopharmaceutical problems [100,101,102,103,104,105,106,107].
Previous research highlighted specific MedDRA terms in PV databases denoting ineffectiveness, such as “drug ineffective,” “treatment failure,” “decreased drug efficacy,” and “therapy nonresponder” [95]. Monitoring signs related to these events can be crucial in the investigation of their causes. In addition, AEs related to ineffectiveness may also be a trigger to suspect resistance to the involved AB, which is precisely the cause of therapeutic failure [30]. The following is a summary of the findings related to these events and ABs described in PV systems in several countries.
A comprehensive VigiBase analysis (1968-2018) of AB-related AEs (n = 1,170,751) found 15,250 (1.3%) reports that reported 17 MedDRA preferred terms (PT) of interest for AMR. The six most reported medicines, which corresponded to 38% of these notifications (n = 5806), were amoxicillin (n = 873; 5.7%; Access), cephalothin (n = 151; 1%; Access), ciprofloxacin (n = 1748; 11.5%; Watch), clarithromycin (n = 991; 6.5%; Watch), levofloxacin (n = 1342; 8.8%; Watch), and daptomycin (n = 701; 4.6%; Reserve). The terms most frequently reported in these notifications were “drug ineffective” (n = 6959; 45.6%), “off-label use” (n = 1455; 9.5%), and “pathogen resistance” (n = 1327; 9.0%) [95].
In the Netherlands PV centre, 252 notifications were identified between 1998 and 2019 with MedDRA PTs that are considered relevant for AMR. The frequencies of “off-label” (n = 91; 36.1%), “drug ineffective” (n = 71; 28.2%), “product use in inappropriate indications” (n = 28; 11, 1%), “pathogen resistance” (n = 14; 5.6%), and “drug resistance” (n = 13; 5.2%) were detected. That study also described the involved ABs: tobramycin (n = 89; 35%; Watch), colistin (n = 30; 11.9%; Reserve), ciprofloxacin (n = 16; 6.3%; Watch), doxycycline (n = 14; 5.5%; Access), and aztreonam (n = 12; 4.8%; Reserve) [30].
A study conducted in the European PV database (Eudravigilance – through 2022) described the relationship between MedDRA terms that indicated “drug resistance” and “drug ineffectiveness” and three ABs commonly used in critically ill patients: meropenem (n = 8,864; Watch), colistin (n = 983; Reserve), and linezolid (n = 13,381; Reserve). The terms associated with “drug resistance” were more frequent for colistin (n = 83; 8.4%) than for meropenem (n = 316; 3.6%) or linezolid (n = 319; 2.4%). Colistin was also the one most related to “drug ineffectiveness” (n = 100; 10.1%), followed by meropenem (n = 838; 9.5%) and linezolid (n = 556; 4.2%). Suspected bacterial resistance was related to the outcome of death in 20% of the records associated with meropenem, 24% with colistin, and 6% with linezolid. In the “drug ineffective” group, death was reported in 28%, 35%, and 19% of the records, respectively. The authors of that study also suggested that colistin was more likely to be associated with reports of events related to resistance and inefficacy than any ABs other than ceftazidime/avibactam [37].
One study in the Portuguese database described 59,022 reports (2017-2019) related to the most widely used antibiotics in the country for the treatment of upper respiratory tract infections, both in outpatient and hospital settings. The term “drug ineffective” was among the 10 most frequently found MedDRA PTs related to these ABs, with greater emphasis on amoxicillin (n = 105; 0.18%; Access), amoxicillin/clavulanic acid (n = 295; 0.5%; Access), azithromycin (n = 206; 0.35%; Watch), cefazolin (n = 30; 0.05%; Access), ciprofloxacin (n = 299; 0.51%; Watch), clarithromycin (n = 140; 0.24%; Watch), and levofloxacin (n = 220; 0.37%; Watch) [108].
In an analysis of 1,722 notifications of AEs involving amoxicillin from 1988-2014 in the Korea Adverse Event Reporting System database, the third most reported AE was “drug ineffective” (n = 174; 10%). The authors attributed the ineffectiveness of amoxicillin to the failure of patients to take the drug for the prescribed time [109].
In Brazil, 12,665 cases of AEs reported between 2018 and 2021 in VigiMed, the Brazilian PV database, were analysed, and the main drugs reported were vancomycin (n = 1,733; 14%; Watch), ceftriaxone (n = 1,274; 10%; Watch), piperacillin/tazobactam (n = 1,024; 8%; Watch), ciprofloxacin (n = 936; 7%; Watch), and azithromycin (n = 870; 7%; Watch). The event “drug ineffective” was identified as a safety signal associated with azithromycin (n = 8; 1%), cefuroxime (n = 7; 3.3%), amoxicillin (n = 4; 1.3%), and amoxicillin/clavulanic acid (n = 8; 1.8%) [110].
Mhaidat et al. evaluated 539 notifications from Jordan (2003-2022). The most frequently reported ABs were tetracyclines (n = 101; 19%), fluoroquinolones (n = 54; 10%), third-generation cephalosporins (n = 48; 9%), and carbapenems (n = 42; 8%). In 279 reports, it was possible to characterize the AEs, and the “drug ineffective” MedDRA PT (n = 28; 5.19%) was most often related to carbapenems (n = 9; 32%), followed by tetracyclines (n = 8; 28%). The study also found “off-label” reports (n = 13; 2.41%), “incorrect route of administration” (n = 10; 1.89%), and “unapproved indication” (n = 6; 1.11%) [111].
In India, 1,980 reports of suspected AEs were identified and evaluated for causality at a PV monitoring centre (2013-2019). Antimicrobials drew attention as the class most involved in suspicions (29%). Among the relevant AEs found, “multidrug resistance” was related to ceftriaxone/tazobactam (n = 15; 0.76%; the Not recommended category) and amikacin (n = 9; 0.45%; Access) [112].
An investigation of tigecycline-related AEs reported to FAERS between 2004 and 2009 found 1,182 occurrences. “drug ineffective” emerged as one of the most reported events (n = 63; 5.33%), along with “pathogen resistance” (n = 22; 1.86%) [113]. Another study done on the same database (2015-2018) found 5,899 notifications related to carbapenems, and again, “drug ineffective” was the most prevalent event (n = 620; 10.51%) [64].

5. PV as a Tool to Identify Inappropriate Uses of Antibiotics

In addition to the consumed amount of AB, the quality of consumption in terms of appropriateness of the selection and adherence to clinical recommendations can provide valuable information because, as already mentioned, the inappropriate use of ABs is one of the main causes of AMR. In Africa, for example, a continent highly affected by infectious diseases, high consumption and inappropriate use of ABs were associated with low rates of adherence to prescribing guidelines, high rates of prolonged AB prophylaxis and/or prophylaxis with more than one AB, and high consumption of AB in the Watch group [114,115,116].
In the National PV Database of Vietnam, 6,385 notifications related to ABs were found, totalling 11,652 AE/AB pairs in a 1-year period (2018-2019). Among the 10 most reported suspected ABs, eight are classified in the Watch group, namely, cefotaxime (n = 1,142; 17.9%), ceftriaxone (n = 395; 9.9%), ceftazidime (n = 394; 6.2%), cefoperazone (n = 293; 4.6%), cefuroxime (n = 242; 3.8%), ciprofloxacin (n = 651; 10.2%), levofloxacin (n = 287; 4.5%), and vancomycin (n = 306; 4.8%), while two belong to the Access group, amoxicillin (n = 491; 7.7%) and ampicillin (n = 261; 4.1%). Serious events accounted for 49% of the AEs. A total of 889 AEs were considered preventable, 13.4% of which were related to amoxicillin, 10.2% to cefotaxime, and 7.4% to ciprofloxacin. Interestingly, the main causes of these preventable AEs were related to prescribing, which included “inappropriate prescribing” (n = 352; 40%), “indicating antibiotics for patients with no sign of infection” (n = 272; 31%), “inappropriate indication for antimicrobial prophylaxis” (n = 49; 6%), “inappropriate indication” (n = 31; 4%), “readministration of antibiotics causing prior allergy/allergies” (n = 99; 11%), and “inappropriate dosing” (n = 26; 3%). These results reveal evidence of AB overuse that the authors say is related to problems such as difficulty in making an adequate diagnosis, high infection pressure, and problems related to prescribers (personal experience and financial interests) [94].
Ballon et al. conducted a study in the French PV Database (2010-2019) comparing the profile of AEs in pregnant (n = 911) and nonpregnant women (n = 3,358) and reported that anti-infective medicines (n = 141; 18.3%) were among the drugs most often associated with these events. The AEs grouped into “lesions, poisoning, and surgical complications”, represented mainly by the MedDRA PTs associated with medication errors, were more frequent among pregnant women (n = 71; 8.1%) than among nonpregnant women (n = 55; 1.6%) [117].
The Russian PV database (2012-2014) included 3,608 reports of beta-lactams: penicillins (n = 1,123; 31%), cephalosporins (n = 2,324; 64%), and carbapenems (n = 161; 4%). The experts analysed the narrative descriptions of each patient and identified prescription problems and medication errors in 1,043 reports (28.9%). Notably, only 29 of these notifications described these problems in the AE field. The age group most involved in this study was children (n = 457; 43.8%). The most frequent prescription problems were “administration of an antibiotic in the absence of indications/wrong indication” (n = 395; 32.5%), and “contraindicated administration” (n = 210; 17.3%); medication errors were “inappropriate dose or dose regimen” (n = 360; 29.7%), and “incorrect preparation of an antibiotic solution” (n = 27; 2.2%). A relationship with too low dose frequency was found among the eight (0.22%) patients who experienced treatment failure. Other types of reported prescription problems that deserve attention were “late discontinuation of a drug in a patient developing an ADR” (n = 80; 6.6%), “irrational switch of an antibiotic” (n = 59 4.9%), “late or irrational change of antibiotic in case of treatment failure” (n = 31; 2.6%), and “administration of an inadequate treatment regimen for the disease/treatment strategy” (n = 11; 0.9%) [118].
The study conducted in India, described in the previous section, which related “multidrug resistance” to ceftriaxone/tazobactam and amikacin, also called attention to evidence of inappropriate use, since most indications were for empirical prophylaxis, and susceptibility tests for ABs were requested only after treatment failure of the ABs initially prescribed. The observed resistance to ceftriaxone/tazobactam led to substitution with meropenem (Watch) or linezolid (Reserve) [112].
Ren et al. analysed the safety of cephalosporins in two PV databases in China (2009-2010) and reported 1,337 AEs. Misuse, especially an “inappropriate dosing regimen”, was observed in 93% of the patients (n = 1,243), and overuse was observed in 18% (n = 249), the latter being more impactful among children [119].
Looking further back in the literature, some studies cited issues related to the misuse of ABs. According to the Iranian PV database (1998-2009), 15.2% (n = 183) of the reports for ceftriaxone (n = 1205; Watch) were considered preventable [120]. In another study, reports received by the Italian Interregional Group of PV (1988-2004) suggested a higher reporting rate for amoxicillin/clavulanic acid (measured by the number of reports/1 000 000 defined daily doses/year) compared to amoxicillin (2.11 versus 1.52, in the period 200-2004) and an indiscriminate increase in amoxicillin/clavulanic acid, although there are guidelines to make this the second priority [121].

5.1. Off-Label Use of Antibiotics

Off-label use is not necessarily inappropriate; in certain cases of complicated patients with resistant or uncommon bacteria, empiric use of AB is possible, but always under the close supervision of microbiologists. However, AB treatment without a registered indication and disconnected from evidence of effectiveness against a particular microbial agent, population, and site of action is frequent. Children, pregnant women, and the elderly are populations rarely included in preapproval clinical trials of drugs [122,123,124,125], despite this, medicines are often used in these circumstances just extrapolating the indications and dosage from adult patients without comorbidities, changes in metabolism or development that would influence pharmacokinetics and pharmacodynamics.
From data in the Swedish database, a study concluded that medicines with off-label use are more subject to AEs than medicines used as indicated. Furthermore, the paediatric population is more affected than adults [126]. Off-label prescriptions are frequent in children and are more strongly related to severe AEs [127,128].
In Germany, 20,854 reports (2000-2019) were evaluated in the 0-17-year age group, and 3.5% of the respondents had records of off-label use [129]. In Brazil, a study that evaluated 3,330 notifications for children up to 12 years of age found that 30% of the reports of fatal cases described an off-label use (n = 22). In that study, anti-infective drugs were the most reported class (n = 1,602; 41%) [130].
An analysis of AEs associated with oxazolidinones reported to FAERS (2018-2020) revealed a more critical safety profile for tedizolid (the newest antibiotic on the market) than expected for serious events such as myelotoxicity, lactic acidosis, and peripheral neuropathy. The authors associated the findings with frequent off-label use, especially regarding the use of this AB for up to 3 weeks, which was longer than what was initially approved (only 6 days) [39].
Table 1 summarizes the most relevant MedDRA terms and AWaRe categories of associated ABs cited in the studies included in this review.

6. Discussion

The revised studies reinforce the potential added utility of the already existing PV systems to collaborate in AMS initiatives by pointing to inappropriate use of ABs and suggesting the existence of possible AMR in remote places with difficult access to laboratory testing and cultures. As already suggested in the literature [26,27,28,95,99] this can be achieved through the promotion of reporting by using the MedDRA PTs of interest for AMR. These studies show how an in-depth analysis of the available data already included in PV databases can provide useful elements for AMS teams at the local or national level and help define antibiotic policies in the country.
In a regional database (Eudravigilance), a higher probability of notification of an antimicrobial (in the cited example, colistin) with terms related to resistance and inefficacy was observed than for other antibiotics [37]. Studies such as this one may help doctors choose an AB with a lower probability of resistance/ineffectiveness in a given local reality, which is a key tool for developing AMS. According to a Korean study [109], the suspicion that the ineffectiveness of amoxicillin was due to inadequate treatment duration shows that encouraging the identification and notification of specific events of interest for in-depth investigations of the causes of ineffective drugs may help us improve the use of ABs. These are some practical examples of the use of the information provided by PV.
Terms such as “drug ineffective,” “therapeutic failure,” “drug resistance,” “pathogen resistance”, and “multidrug resistance” in PV databases encompass a range of problems that should be better investigated and proven useful in warning about possible causes of AMR before they are used in studies aiming to clarify the contributing factors to be considered in measures to contain AMR. Table 1 reinforces the greater involvement of the Watch category in problems of use and suspicion of AMR and the relevance of the terms listed in identifying these problems.
Although the off-label use of ABs to treat infections caused by resistant pathogens has shown positive results in some situations, the cost of such use must be weighed carefully [131], and it should always be guided by a microbiologist or an infectologist. The studies summarised here emphasise that the term “off-label,” in addition to issues of safety and vulnerability of at-risk populations, frequently appears in PV databases and permeates events of interest to AMR.
Weaknesses in antibiotic therapy and treatment failures related to inadequate dose regimens can be identified, as exemplified in studies in Russia and China [118,119]. For example, some of the PV studies included in this review suggest the need to review local protocols to ensure that they follow the latest available evidence, the local patterns of AMR, as well as the pharmacokinetics and pharmacodynamics of each AB. Different studies included in this revision describe the use of inappropriate doses in treatment failure and bacterial resistance [101,105,132,133]. In other words, the analysis of data included in PV reports may provide clues about inappropriate use in a given place, which allows the design of interventions to improve or reverse this use.
Preventing AEs is an important part of the safe and appropriate use of medicines; furthermore, in the case of ABs, more appropriate use can contain AMR. On the one hand, there are inappropriate or irrational prescriptions (for example, one of the commonest practices in primary health care: using an AB for mild viral upper respiratory conditions). On the other hand, there are medication errors caused by mistakes or confusions in names, dosages or duration of treatments. Both cases lead to preventable situations that directly increase the risk of AMR. Concerning medication errors, there is a fear on the part of professionals to record errors in notifications, as demonstrated in the Russian study in which only 2.8% of problems identified were notified [118]. Institutions with higher patient safety culture scores, which report and treat errors, have lower rates of healthcare events [134]. Concerning irrational prescription, it is wider than the prescription of ABs, and it involves many factors beyond inappropriate or outdated knowledge, as psychological, economic and political aspects also take part of it, together with the characteristics of the healthcare system structure. Still, the PV systems have proven useful for indicating points of improvement in the use of health care despite the incompleteness of the records and the underreporting.
Studies to monitor the use of ABs, within the scope of PV, prepared according to quality criteria [44,135], can identify a range of associated problems, such as self-medication practices, common practices of inadequate prescriptions and what may influence them, the most prevalent errors, and the ABs most associated with problems of use. The identification of these issues makes it possible to reflect on two aspects of PV: (i) the regulatory aspect, for which measures to control the use and change the leaflet, policies and protocols for the use of AB can be established; and (ii) the aspect of the care process, which guides process-improvement actions to minimize medication errors and the development of education programs for health professionals and the population.
Given its structure at the local, national, and global levels, the use of PV systems can be a useful part of strategies to contain AMR, obviously not as a substitute for microbiological laboratory testing but as a system for identifying potential problems of antibiotic efficacy in certain places. Once reported, health authorities and national antimicrobial surveillance teams will have a basis to design the appropriate actions to either obtain microbiological confirmation of the suspicion in the case of AMR or design specific studies to reverse the inappropriate use of antibiotics by using local real-world data. Local/national analyses provide more detailed data reflecting the local epidemiological reality, along with higher-powered application of timely and effective intervention strategies
Another advantage of PV analysis is that it can be performed over time series derived from local systems and may reflect important changes in use while signalling attention to certain classes of AB. Therapeutic failure analyses may point to the possibility of counterfeiting and substandard products, which are common practices in LMICs and cause great harm to public health [102,136,137]. In addition to the low cost of PV studies, their structure is already widespread and based on international guidelines, and there are PV practices based on active searches, so studies have focussed on specific MedDRA PTs and utilization [138].
The limitation of this review is that, due to the method chosen, some studies relevant to the topic may have been missed, which may have caused some selection bias. On the other hand, it enabled a broader search so we could explore the recent themes of PV. It was also limited to citing the most frequent terms found, which do not exhaust the topic, as a range of terms that indicate ineffectiveness and inappropriate use can be found in the various PV databases according to the culture and training of the reporters.
Although the strategies were divided into two major topics (ineffectiveness, and inappropriate use) to facilitate data organization, in reality, they are found together, all signalling problems related to ABs. Despite PV studies not being definitive in their conclusions, as they are, by nature, about suspected AEs, they may indicate guidelines and paths to be followed and investigated to confirm possible AMR.

7. Conclusion

This review strongly showed support for the idea that PV studies may be useful in the use of ABs, in addition to the already known description of the safety profile of these medicines: (1) PV can help identify AB ineffectiveness, and (2) it can identify inappropriate use. This use of well-known tools already consolidated in many countries can help guide AMS and drug-related policies so that healthcare providers can be alerted about a possible lack of response due to AB resistance.
In a scenario where access to adequate microbiological diagnosis and monitoring is difficult, it is necessary to take advantage of every possible source of available information, such as PV programs and their databases. The studies presented in this review showed not only the presence but the frequent appearance of terms of interest about AMR on a local, national, and international basis. These strategies can be incorporated as indicators of inappropriate use and AB resistance in AMS. Knowing the roots of the causes of these types of events and encouraging specific notifications can make transformative contributions to stewardship programs.
The main aim of this review is to show the feasibility of using a well-known and consolidated public health tool to contribute to antimicrobial stewardship activities and to address any resistance problems.
From this perspective, strengthening PV systems and encouraging reportings of specific AEs related to AMR could be important indicators for monitoring the use of ABs and advancing AMR-related national policies and stewardship programs.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org, Table S1: Studies that analysed signs and associations between adverse events and antibiotics in PV databases (2019-2023).

Author Contributions

Conceptualization, V.S., A.F. and E.L.; methodology, V.S., A.F. and E.L.; formal analysis, V.S.; writing—original draft preparation, V.S.; writing—review and editing, A.F. and A.L.; supervision, A.F. and E.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, grant number E-26/201.373/2022.

Acknowledgments

We thank Rebeca Lacerda and Alice Ramos for the support given and assistance with the figures and the supplementary table.

Conflicts of Interest

The authors declare no conflict of interest.

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Preprints 105207 g001
Figure 1. Schematic representation of the relationships between pharmacovigilance, antibiotic use, and antimicrobial resistance. Abbreviations: ADR: adverse drug reaction; AB: antibiotic
Figure 1. Schematic representation of the relationships between pharmacovigilance, antibiotic use, and antimicrobial resistance. Abbreviations: ADR: adverse drug reaction; AB: antibiotic
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Figure 2. Scheme of real-life antibiotic use problems and interfaces with antimicrobial resistance that can be identified in pharmacovigilance studies.
Figure 2. Scheme of real-life antibiotic use problems and interfaces with antimicrobial resistance that can be identified in pharmacovigilance studies.
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Table 1. MedDRA terms related to effectiveness and inappropriate use, and the AWaRe classification of antibiotics described in the synthesized studies.
Table 1. MedDRA terms related to effectiveness and inappropriate use, and the AWaRe classification of antibiotics described in the synthesized studies.
MedDRA Terms
Drug ineffective
Pathogen resistance
Drug resistance
Multidrug resistance
Product use in inappropriate indication
Incorrect route of administration
Inappropriate prescribing*
Indicating antibiotics for patients with no sign of infection*
Inappropriate indication for antimicrobial prophylaxis*
Inappropriate indication*
Readministration of antibiotics causing prior allergy/allergies*
Inappropriate dosage*
Inappropriate Indication*
Inappropriate dose and dosage regimen*
Contraindicated administration*
Late or irrational change of antibiotic in case of treatment failure*
Administration of an inappropriate treatment regimen for the disease/Inadequate treatment strategy*
Off-label use
AWaRe classification of the antibiotics included in the synthesized studies
Access Watch Reserve
Amikacin Azithromycin Aztreonam
Amoxicillin Cefoperazone Colistin
Amoxicillin/clavulanic-acid Ceftazidime Daptomycin
Ampicillin Ceftriaxone Linezolid
Cefalotin Cefuroxime Polymyxin-B
Cefazolin Ciprofloxacin Tedizolid
Doxycycline Clarithromycin
Levofloxacin
Meropenem
Piperacillin/tazobactam
Tobramycin
Vancomycin
Ceftriaxone/tazobactam**
BLUE: terms related to ineffectiveness. GREEN: terms related to inappropriate use. * Terms are described as they appear in the articles and may not correspond exactly to the term as listed in the MedDRA dictionary. ** The AWaRe classification for this fixed-dose combination is Not Recommended.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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