Dilemmas of the causality assessment tools in the diagnosis of adverse drug reactions

A nationwide survey of methods and barriers to adverse drug reaction monitoring and reporting among hospital pharmacists in Thailand

OBJECTIVES

To explore the methods of adverse drug reaction identification and monitoring used by hospital pharmacists in all regions of Thailand, to explore barriers to and pharmacists' attitudes towards adverse drug reaction monitoring and reporting, and to assess the factors related to these aspects.

METHODS

Pharmacists in 480 hospitals in Thailand were selected by stratified sampling. Self-administered questionnaires were sent by post and pharmacists returned completed questionnaires via QR code.

KEY FINDINGS

In total, pharmacists at 286 hospitals returned the questionnaire (response rate = 59.6%). The most common adverse drug reaction (ADR) monitoring methods were the spontaneous reporting system (SRS), which was used by 100% of respondents, followed by high alert drug lists (73.1%) and routine adverse drug reaction monitoring (64.0%). The most frequently used methods of adverse drug reaction prevention were providing drug allergy card and recording allergy history in database. The major barrier to adverse drug reaction monitoring and reporting among respondents was uncertainty about whether the suspected drug caused the reaction (49.3%). Pharmacists had a good attitude towards adverse drug reaction monitoring and reporting (60.5%). Longer work experience (≥10 years) was negatively related with good attitudes towards adverse drug reaction monitoring and reporting (OR = 0.535, P = 0.040), whereas higher education level was positively related (OR = 2.201, P = 0.025).

CONCLUSIONS

Spontaneous reporting system is the main method used for adverse drug reaction monitoring and reporting among hospital pharmacists in Thailand. Pharmacists had good attitudes towards adverse drug reaction monitoring and reporting, however, barriers remain.

Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases

Introduction

Drug-induced acute kidney injury (DI-AKI) is a frequent adverse event. The identification of DI-AKI is challenged by competing etiologies, clinical heterogeneity among patients, and a lack of accurate diagnostic tools. Our research aims to describe the clinical characteristics and predictive variables of DI-AKI.

Methods

We analyzed data from the Drug-Induced Renal Injury Consortium (DIRECT) study (NCT02159209), an international, multicenter, observational cohort study of enriched clinically adjudicated DI-AKI cases. Cases met the primary inclusion criteria if the patient was exposed to at least 1 nephrotoxic drug for a minimum of 24 hours prior to AKI onset. Cases were clinically adjudicated, and inter-rater reliability (IRR) was measured using Krippendorff's alpha. Variables associated with DI-AKI were identified using L1 regularized multivariable logistic regression. Model performance was assessed using the area under the receiver operating characteristic curve (ROC AUC).

Results

A total of 314 AKI cases met the eligibility criteria for this analysis, and 271 (86%) cases were adjudicated as DI-AKI. The majority of the AKI cases were recruited from the United States (68%). The most frequent causal nephrotoxic drugs were vancomycin (48.7%), nonsteroidal antiinflammatory drugs (18.2%), and piperacillin/tazobactam (17.8%). The IRR for DI-AKI adjudication was 0.309. The multivariable model identified age, vascular capacity, hyperglycemia, infections, pyuria, serum creatinine (SCr) trends, and contrast media as significant predictors of DI-AKI with good performance (ROC AUC 0.86).

Conclusion

The identification of DI-AKI is challenging even with comprehensive adjudication by experienced nephrologists. Our analysis identified key clinical characteristics and outcomes of DI-AKI compared to other AKI etiologies.

Causality assessment of adverse drug reaction: A narrative review to find the most exhaustive and easy-to-use tool in post-authorization settings

BACKGROUND

The core motive of pharmacovigilance is the detection and prevention of adverse drug reactions (ADRs), to improve the risk-benefit balance of the drug. However, the causality assessment of ADRs remains a major challenge among clinicians, and none of the available tools of causality assessment used for assessing ADRs have been universally accepted.

OBJECTIVE

To provide an up-to-date overview of the different causality assessment tools.

METHODS

We conducted electronic searches in MEDLINE, EMBASE, and the Cochrane database. The eligibility of each tool was screened by three reviewers. Each eligible tool was then scrutinized for its domains (the reported specific set of questions/areas used for calculating the likelihood of cause-and-effect relation of an ADR) to discover the most comprehensive tool. Finally, we subjectively assessed the tool's ease-of-use in a Canadian, Indian, Hungarian, and Brazilian clinical context.

RESULTS

Twenty-one eligible causality assessment tools were retrieved. Naranjo's tool and De Boer's tool appeared the most comprehensive among all the tools, covering 10 domains each. Regarding "ease-of-use" in a clinical setting, we judged that many tools were hard to implement in a clinical context because of their complexity and/or lengthiness. Naranjo's tool, Jones's tool, Danan and Benichou's tool, and Hsu and Stoll's tool appeared to be the easiest to implement into various clinical contexts.

CONCLUSION

Among the many tools identified, 1981 Naranjo's scale remains the most comprehensive and easy to use for performing causality assessment of ADRs. Upcoming analysis should compare the performance of each ADR tool in clinical settings.

Causality assessment of adverse drug reactions in neonates: a comparative study between Naranjo's algorithm and Du's tool

BACKGROUND

Algorithms for causality assessment of adverse drug reactions (ADRs) in a neonatal intensive care unit (NICU) are important in the management of adverse events, however, it is inconclusive which tool best suits pharmacovigilance in neonates.

AIM

To compare the performance of the algorithms of Du and Naranjo in determining causality in cases of ADRs in neonates in a NICU.

METHOD

This observational and prospective study was conducted in a NICU of a Brazilian maternity school between January 2019 and December 2020. Independently, three clinical pharmacists used the algorithms of Naranjo and Du in 79 cases of ADRs in 57 neonates. The algorithms were evaluated for inter-rater and inter-tool agreement using Cohen's kappa coefficient (k).

RESULTS

The Du algorithm showed greater ability to identify definite ADRs (≈ 60%), but had low reproducibility (overall k = 0.108; 95% CI 0.064-0.149). In contrast, the Naranjo algorithm showed a lower proportion of definite ADRs (< 4%), but had good reproducibility (overall k = 0.402; 95% CI 0.379-0.429). The tools showed no significant correlation regarding ADR causality classification (overall k = - 0.031; 95% CI - 0.049 to 0.065).

CONCLUSION

Although the Du algorithm has a lower reproducibility compared to the Naranjo, this tool showed good sensitivity for classifying ADRs as definite, proving to be a more suitable tool for neonatal clinical routine.

Detection of Adverse Drug Reactions in COVID-19 Hospitalized Patients in Saudi Arabia: A Retrospective Study by ADR Prompt Indicators

Seeking an alternative approach for detecting adverse drug reactions (ADRs) in coronavirus patients (COVID-19) and enhancing drug safety, a retrospective study of six months was conducted utilizing an electronic medical record (EMR) database to detect ADRs in hospitalized patients for COVID-19, using "ADR prompt indicators" (APIs). Consequently, confirmed ADRs were subjected to multifaceted analyses, such as demographic attribution, relationship with specific drugs and implication for organs and systems of the body, incidence rate, type, severity, and preventability of ADR. The incidence rate of ADRs is 37%, the predisposition of organs and systems to ADR is observed remarkably in the hepatobiliary and gastrointestinal systems at 41.8% vs. 36.2%, p < 0.0001, and the classes of drugs implicated in the ADRs are lopinavir-ritonavir 16.3%, antibiotics 24.1%, and hydroxychloroquine12.8%. Furthermore, the duration of hospitalization and polypharmacy are significantly higher in patients with ADRs at 14.13 ± 7.87 versus 9.55 ± 7.90, p < 0.001, and 9.74 ± 5.51 versus 6.98 ± 4.36, p < 0.0001, respectively. Comorbidities are detected in 42.5% of patients and 75.2%, of patients with DM, and HTN, displaying significant ADRs, p-value < 0.05. This is a symbolic study providing a comprehensive acquaintance of the importance of APIs in detecting hospitalized ADRs, revealing increased detection rates and robust assertive values with insignificant costs, incorporating the hospital EMR database, and enhancing transparency and time effectiveness.

Incidence and Temporal Trend of Antituberculosis Drug-Induced Liver Injury: A Systematic Review and Meta-Analysis

Methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses standards were followed, and the protocol was registered in PROSPERO (CRD42020200077). Five electronic databases were searched to identify eligible studies published between 1990 and 2022. Search terms included anti-TB treatment and drug-induced liver injury. Studies that reported the incidence of ATLI or provided sufficient data to calculate the incidence of ATLI were included, and duplicate studies were excluded. Meta-analysis was conducted on the basis of logit-transformed metrics for the incidence of ATLI with 95% confidence intervals (CIs), followed by a predefined subgroup meta-analysis. Temporal trend analyses were performed to describe the change in pooled incidence over time. A random effects metaregression was conducted to explore the source of heterogeneity. All statistical analyses were carried out using R 4.0.1.

Results

A total of 160 studies from 156 records with 116147 patients were included in the meta-analysis. Based on the random effects model, the pooled incidence of ATLI was 11.50% (95% CI: 10.10%–12.97%) and showed an upward trend over time (P < 0.001). Patients who received first-line anti-TB drugs, patients in South America, and patients with hepatitis B and C virus coinfection had a higher incidence of ATLI (13.66%, 18.16%, and 39.19%, respectively). Sensitivity analyses also confirmed this robust incidence after the exclusion of some studies. The metaregression showed that different anti-TB regimens and geographical regions were important explanatory factors of the heterogeneity between studies.

Conclusions

The present systematic review provided a basis for estimating the incidence of ATLI worldwide, which varied among patients with different anti-TB regimens in different geographical regions and with different coinfections and had an upward trend. Regular liver function monitoring is imperative for patient safety during the anti-TB treatment course.

Risk factors for and characteristics of community‐ and hospital‐acquired drug‐induced acute kidney injuries

Drugs constitute one of the leading causes of acute kidney injuries (AKIs) and can appear in community (CA‐AKI) or hospital (HA‐AKI) population. The objectives of the present study of a cohort of hospitalized patients with AKI were to describe the characteristics of drug‐induced AKIs and the patients' short‐term outcomes and assess risk factors for drug‐induced AKIs overall, CA‐AKIs, and HA‐AKIs. Based on a cohort of 1557 hospitalized patients suffering from AKIs based on PMSI extraction and chart review (IRA‐PMSI), drug‐induced AKIs were identified by applying the Naranjo adverse drug reaction (ADR) probability scale. Multivariate logistic regression was used to identify factors associated with CA‐AKIs and/or HA‐AKIs. When considering the 1557 patients who experienced an AKI, 445 (28.6%) of the injuries were drug‐induced (180 CA‐AKIs (40.4%) and 265 HA‐AKIs (59.6%)). Antibiotics, diuretics, and contrast agents were significantly more likely to be involved in HA‐AKIs, whereas antineoplastic, lipid‐lowering drugs, antidiabetics, and immunosuppressive were significantly more likely to be involved in CA‐AKIs. Female sex (odds ratio [OR] [95%CI] = 1.3 [1.04–1.67]), chronic kidney disease (CKD) (OR = 1.8 [1.40–2.67]), and a history of ADRs of any type (OR = 1.3 [1.05–1.73]) were significant risk factors for drug‐induced AKIs. CKD was a risk factor for both CA‐AKI and HA‐AKI. In view of the long‐term impact of AKI on the kidneys and the differences between our CA‐AKI and HA‐AKI subgroups, our present results are interesting for optimizing treatments, limiting the occurrence of CA‐ and HA‐AKIs and (ultimately) reducing healthcare costs.

Prioritisation of Adverse Drug Events Leading to Hospital Admission and Occurring during Hospitalisation: A RAND Survey

(1) Adverse drug events (ADEs) are a common cause of emergency department visits and occur frequently during hospitalisation. Instruments that facilitate the detection of the most relevant ADEs could lead to a more targeted and efficient use of limited resources in research and practice. (2) We conducted two consensus processes based on the RAND/UCLA appropriateness method, in order to prioritise ADEs leading to hospital admission (panel 1) and occurring during hospital stay (panel 2) for inclusion in future ADE measurement instruments. In each panel, the experts were asked to assess the “overall importance” of each ADE on a four-point Likert scale (1 = not important to 4 = very important). ADEs with a median rating of ≥3 without disagreement were defined as “prioritised“. (3) The 13 experts in panel 1 prioritised 38 out of 65 ADEs, while the 12 experts in panel 2 prioritised 34 out of 63 ADEs. The highest rated events were acute kidney injury and hypoglycaemia (both panels), as well as Stevens–Johnson syndrome in panel 1 and rhabdomyolysis in panel 2. (4) The survey led to a set of ADEs for which there was consensus that they were of particular importance as presentations of acute medication-related harm, thereby providing a focus for further medication safety research and clinical practice.

Recurrent pneumothorax in a patient with liposarcoma as either a complication of lung micrometastasis or a potential adverse event from antibiotic therapy: A case report

Spontaneous pneumothorax (PNX) is an infrequent manifestation of primary lung cancer, soft tissue sarcoma and metastasis. There are no easily accessible data in the literature regarding the correlation between PNX and antibiotics, whereas cases of PNX following chemotherapy have been observed. Only 1-10% of treatment-related adverse events are estimated to be reported to the Food and Drug Administration. The present study described a case of PNX of the left lung in a 70-year-old treatment-naive patient with retroperitoneal liposarcoma. The PNX developed after 8 days of treatment with levofloxacin and after 6 days of piperacillin/tazobactam treatment for a suspicious inflammatory area in the right lung detected by an FDG-PET scan before the patient started chemotherapy. A chest CT scan confirmed the presence of metastasis in the right lung, but neither FDG-PET/CT nor CT showed metastatic disease in the left lung. A total of 14 days after the end of the third cycle of doxorubicin (2 months after the initial diagnosis of PNX), the patient manifested a massive PNX of the right lung. In conclusion, these findings indicated that spontaneous PNX could be linked to the use of some antibiotics.

Adverse Drug Reactions at Nonelective Hospital Admission in Children and Adolescents: Comparison of 4 Causality Assessment Methods

OBJECTIVES

This study aimed to compare assessment methods to determine adverse drug reactions (ADRs) at nonelective hospital admission in pediatric patients, to investigate the interrater reliability of assessment methods in pediatric care, and to analyze symptoms related to ADRs and (suicidal) drug intoxications.

METHODS

For 1 year, the medical records of nonelective patients admitted to a university pediatric department were evaluated for potential ADRs using 4 assessments methods by 1 experienced rater. Krippendorff α was calculated from a sample of 14 patients evaluated by 4 experienced raters to determine interrater reliability.

RESULTS

In 1831 nonelective hospital admissions, 63.4% (1161 of 1831) of patients had received at least one drug before admission. We found a potential causal relationship between drugs and symptoms documented at admission and thus potential ADRs according to Naranjo in 23.3% (271 of 1161) of those patients, World Health Organization - Uppsala Monitoring Centre (WHO-UMC) in 22.5% (261 of 1161), Koh in 21.7% (252 of 1161), and Begaud in 16.5% (192 of 1161). The probability rating of the potential causal relationships varied considerably between the methods (Naranjo-Begaud, P < 0.01; Naranjo-Koh, P < 0.001; Koh-Begaud, P < 0.01; Begaud-WHO-UMC, P < 0.01). Acceptable interrater reliability (α ≥ 0.667) was only obtained for WHO-UMC (α = 0.7092). The most frequently identified definite ADR was sedation in 1.5% of all nonelective patients with medication before hospital admission. In 1.2% (22 of 1831) of all nonelective admissions, we found drug intoxications with suicidal intent.

CONCLUSIONS

The assessment methods showed a high variability in the determination of a potential causal relationship between drug and documented symptom, in the classification of the probability of ADRs, and suboptimal interrater reliability. Thus, their feasibility in pediatric patients is limited.

Scoping Review of Studies Evaluating Frailty and Its Association with Medication Harm

Introduction

Frailty is associated with an increased risk of death and morbid events. Frail individuals are known to have multiple comorbidities which are often associated with polypharmacy. Whilst a relationship between polypharmacy and frailty has been demonstrated, it is not clear if there is an independent relationship between frailty and medication harm.

Aims

This scoping review aimed to identify and critically appraise studies evaluating medication harm in patients with frailty.

Methods

PubMed, EMBASE, CINAHL and Cochrane databases were searched from inception until 1 February 2021 using key search terms that are synonymous with frailty (such as frail and frail elderly) and medication harm (such as adverse drug events and adverse drug reactions). To be included, studies must have identified medication harm as a primary or secondary outcome measure, and used a frailty assessment tool to determine frailty, or clearly defined how frailty was assessed. Data were narratively synthesised and presented in tables. The checklist from the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies from the National Heart, Lung, and Blood Institute was used to assess the quality and risk of bias of studies that met the inclusion criteria.

Results

Of 2685 retrieved abstracts, 24 underwent full-text review and nine studies met the inclusion criteria. Three studies were retrospective cohort studies, and six were prospective observational studies. Six studies comprised two distinct groups of frail and non-frail individuals, and the remaining three studies evaluated medication harm in an entirely frail population. Seven studies used validated frailty tools such as the Clinical Frailty Scale, Fried Frailty Index, and Fried Frailty Phenotype. Two studies measured frailty using self-defined criteria. Overall, frail individuals were at risk of medication harm with rates ranging between 18.7 and 77% across the nine studies. However, whether frailty is an independent predictor of medication harm remains uncertain, as this was only evaluated in one study. The risk of bias assessment identified limitations in methods and reporting with all nine studies.

Conclusion

This scoping review identified nine studies evaluating medication harm in frail patients. However, all were limited by the methodological quality and inadequate reporting of study factors. There are few high-quality studies that described a relationship between medication harm and frailty. More robust studies are required that examine the independent relationship between frailty and medication harm, after adjusting for all possible confounders and in particular polypharmacy.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40266-022-00940-3.

[Literature review on pharmacovigilance of medicines derived from traditional pharmacopoeias. Part II: risks assessment and prevention]

After the initial stage of the pharmacovigilance process for medicines from traditional pharmacopoeias - which concerns the identification of the risks associated with their use - the risk assessment should now be approached. The latter makes it possible to detect potential signals early and to take preventive measures. We sought to understand, from a review of the literature, the steps and methods of risk assessment relating to traditional medicines, as well as the prevention strategies applied to them. All of the work carried out on the subject has shown that the steps and methods for assessing and preventing drug risks are the same for both conventional and traditional medicines. Risk assessment includes analysis of the quality of individual notifications, assessment of causality, detection and evaluation of signals. The World Health Organization method is the most widely used for causality assessment internationally, while disproportionality measures are the most applied for signal detection. Regarding prevention, risk communication is the main strategy for the risks associated with traditional medicines. This review suggests the involvement of traditional medicine practitioners both in the notification system and in the communication strategy on the risks associated with their products.

Methods for Identifying Culprit Drugs in Cutaneous Drug Eruptions: A Scoping Review

BACKGROUND

Cutaneous drug eruptions are a significant source of morbidity, mortality, and cost to the healthcare system. Identifying the culprit drug is essential; however, despite numerous methods being published, there are no consensus guidelines.

OBJECTIVES

Conduct a scoping review to identify all published methods of culprit drug identification for cutaneous drug eruptions, compare the methods, and generate hypotheses for future causality assessment studies.

ELIGIBILITY CRITERIA

Peer-reviewed publications involving culprit drug identification methods.

SOURCES OF EVIDENCE

Medline, Embase, and Cochrane Central Register of Controlled Trials.

CHARTING METHODS

Registered PRISMA-ScR format protocol on Open Science Forum.

RESULTS

In total, 109 studies and 26 reviews were included comprising 656,635 adverse drug events, most of which were cutaneous. There were 54 methods of culprit drug identification published, categorized as algorithms, probabilistic approaches, and expert judgment. Algorithms had higher sensitivity and positive predictive value, but lower specificity and negative predictive value. Probabilistic approaches had lower sensitivity and positive predictive value, but higher specificity and negative predictive value. Expert judgment was subjective, less reproducible, but the most frequently used to validate other methods. Studies suggest that greater accuracy may be achieved by specifically assessing cutaneous drug eruptions and using combinations of causality assessment categories.

CONCLUSIONS

Culprit drug identification for adverse drug reactions remains a challenge. Many methods have been published, but there are no consensus guidelines. Using causality assessment methods specifically for cutaneous drug eruptions and combining aspects of the different causality assessment categories may improve efficacy. Further studies are needed to validate this hypothesis.

Critical Review of Gaps in the Diagnosis and Management of Drug-Induced Liver Injury Associated with Severe Cutaneous Adverse Reactions

Drug-induced liver injury (DILI) encompasses the unexpected damage that drugs can cause to the liver. DILI may develop in the context of an immunoallergic syndrome with cutaneous manifestations, which are sometimes severe (SCARs). Nevirapine, allopurinol, anti-epileptics, sulfonamides, and antibiotics are the most frequent culprit drugs for DILI associated with SCARs. Interestingly, alleles HLA-B*58:01 and HLA-A*31:01 are associated with both adverse reactions. However, there is no consensus about the criteria used for the characterization of liver injury in this context, and the different thresholds for DILI definition make it difficult to gain insight into this complex disorder. Moreover, current limitations when evaluating causality in patients with DILI associated with SCARs are related to the plethora of causality assessment methods and the lack of consensual complementary tools. Finally, the management of this condition encompasses the treatment of liver and skin injury. Although the use of immunomodulant agents is accepted for SCARs, their role in treating liver injury remains controversial. Further randomized clinical trials are needed to test their efficacy and safety to address this complex entity. Therefore, this review aims to identify the current gaps in the definition, diagnosis, prognosis, and management of DILI associated with SCARs, proposing different strategies to fill in these gaps.

Improving the data quality of spontaneous ADR reports: a practical example from Malta

BACKGROUND

Adverse drug reaction (ADR) reporting rates and high-quality data within case summary reports are crucial to detect emerging safety concerns and implement regulatory action. In this study we aimed to improve the data quality and reporting rates of ADR reports in Malta through a series of national activities.

RESEARCH DESIGN AND METHODS

Between April 2018 and July 2019, we carried out the following activities: i) a review of wholesale dealers ADR reporting forms; ii) a series of educational workshops targeting physicians and pharmacists; iii) a quality system audit of the Authority's ADR management process.

RESULTS

Twelve wholesaler dealer forms were reviewed, and 155 improvements were identified. Incident reporting forms modified to capture ADRs had the most opportunities for improvement. Five workshops were organized and in total 62 physicians and 22 pharmacists attended. Although feedback from participants was positive, in our case, an increase in reporting was not observed following the workshops. The quality system audit resulted in the introduction of the 'four-eye principle' to the Authority's ADR management process.

CONCLUSIONS

The implementation of such activities is expected to contribute to the overall pharmacovigilance systems in Malta and our experience could benefit other entities involved in spontaneous ADR reporting.

Causality assessment of adverse drug reactions by applying a global introspection method in a high complexity hospital

Background

Causality assessment of adverse drug reactions (ADRs) is an essential approach in pharmacovigilance. The World Health Organization-Uppsala Monitoring Center (WHO-UMC) system has been considered one of the most adequate method for establishing causal relationship in hospitalized patients.

Objective

To describe the causality of potential ADRs in hospitalized patients assessed by the WHO-UMC system and by different healthcare professionals.

Methods

Three healthcare professionals, with different backgrounds, acted as judges to adjudicate the causality categories for potential ADRs according to WHO-UMC system, in a Brazilian high complexity hospital. Judges' agreement was evaluated by using Fleiss' and Cohen's kappa coefficients.

Results

Ninety potential ADRs identified in 300 participants were adjudicated by each judge, comprising a total of 270 assessments. Most potential ADRs were classified as probable or possible (77.8%). Fleiss´ kappa revealed slight concordance among judges (k = 0.096;CI:95%;0.01–0.18).

Conclusions

Diverse backgrounds may have influenced the results for causality assessment of ADRs by employing the WHO-UMC system. Despite the slight concordance found for the method, this result suggests potential opportunity to enrich the ADRs management by engaging multiprofessional teams in the process. Further studies should be considered to investigate the performance of methods for ADRs assessment in hospitalized patients in low- and middle-income countries.

Agreement among different scales for causality assessment in drug-induced Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis

BACKGROUND AND OBJECTIVE

Identification of the offending drug is crucial and challenging in cases of severe cutaneous adverse drug reactions (CADR) like Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN). Poor reproducibility and varying levels of agreement have been observed among different causality assessment tools (CATs) in assessing severe CADRs. This study was conducted to examine the agreement among four different CATs in assessing cases of drug-induced SJS, TEN and SJS/TEN overlap.

METHODS

All cases of drug-induced SJS, TEN and SJS/TEN overlap, which were reported between January 2012 and January 2020 were identified from the ADR register at an ADR monitoring center. Causality assessment was done in these reported cases using the following CATs: The World Health Organization-Uppsala Monitoring Centre (WHO-UMC) scale, Naranjo algorithm, Liverpool algorithm and Algorithm of drug causality for epidermal necrolysis (ALDEN). Weighted kappa (κw) test was used to calculate the agreement among four CATs.

RESULTS

A total of 30 cases of drug-induced SJS, TEN and SJS/TEN overlap were included in our analyses. The most common offending group of drugs were anticonvulsants (46.7%), antimicrobials (40%) and nonsteroidal anti-inflammatory drugs (13.3%). Of the anticonvulsants, phenytoin (13.3%), carbamazepine (10%) and valproate (10%) were the commonly reported offending drugs. Poor agreement was observed among the four different causality assessment scales.

CONCLUSION

Discrepancies were observed among four different CATs in assessing drug-induced SJS and TEN. A CAT that is more specific to drug-induced SJS and TEN, simple, user-friendly with limited subjective interpretation, incorporating new immunological and pharmacogenetic markers is necessary.

Overview of Causality Assessment for Drug-Induced Liver Injury (DILI) in Clinical Trials

Causality assessment for suspected drug-induced liver injury (DILI) during drug development and following approval is challenging. The IQ DILI Causality Working Group (CWG), in collaboration with academic and regulatory subject matter experts (SMEs), developed this manuscript with the following objectives: (1) understand and describe current practices; (2) evaluate the utility of new tools/methods/practice guidelines; (3) propose a minimal data set needed to assess causality; (4) define best practices; and (5) promote a more structured and universal approach to DILI causality assessment for clinical development. To better understand current practices, the CWG performed a literature review, took a survey of member companies, and collaborated with SMEs. Areas of focus included best practices for causality assessment during clinical development, utility of adjudication committees, and proposals for potential new avenues to improve causality assessment. The survey and literature review provided renewed understanding of the complexity and challenges of DILI causality assessment as well as the use of non-standardized approaches. Potential areas identified for consistency and standardization included role and membership of adjudication committees, standardized minimum dataset, updated assessment tools, and best practices for liver biopsy and rechallenge in the setting of DILI. Adjudication committees comprised of SMEs (i.e., utilizing expert opinion) remain the standard for DILI causality assessment. A variety of working groups continue to make progress in pursuing new tools to assist with DILI causality assessment. The minimum dataset deemed adequate for causality assessment provides a path forward for standardization of data collection in the setting of DILI. Continued progress is necessary to optimize and advance innovative tools necessary for the scientific, pharmaceutical, and regulatory community.

Methods for the detection of adverse drug reactions in hospitalized children: a systematic review

Introduction: Adverse drug reactions (ADR) are a problem for healthcare systems worldwide. Pediatric patients constitute a vulnerable group with regard to ADRs. However, although pediatric patients are at increased risk for these reactions, there is little progress on ADR detection methods in this group.Areas covered: In this systematic search, performed according to PRISMA statements, we selected studies, published in PubMed/Medline databases; Scopus; LILACS; Web of Science; Embase and Cochrane Library until April, 2020, on ADRs in hospitalized pediatric patients.Expert opinion: The increase of pediatric drug safety data is essential to the improvement of childcare. Health services must continuously stimulate educational programs focused on ADR detection tools to minimize the barriers and raise awareness among professionals. Therefore, it is necessary to consider that each method has advantages and disadvantages and must be analyzed in detail to be implemented according to the peculiarities of each practice scenario. Triggers tools (active method) correlated with electronic medical notes seems a good strategy for ADR identification, whether pediatric parameters are well checked and adapted with each age group. In any event, combined methods will add data to identification and clearer ADR assessment.

Efficacy and safety of modafinil versus dexamethasone in cancer-related fatigue: a prospective randomized controlled study

The aim of this study was to compare the efficacy and safety of modafinil and dexamethasone in the management of cancer-related fatigue and their effects on quality of life (QoL). A prospective randomized controlled study was conducted, enrolling 80 cancer patients experiencing moderate or severe fatigue following at least three cycles of chemotherapy or a course of palliative/curative radiotherapy. Patients received either oral modafinil 100 mg or dexamethasone 4 mg daily for 14 days. Levels of fatigue, QoL and symptom severity were compared after 14-21 days. Both drugs were efficacious and safe in the management of fatigue and QoL. However, modafinil performed marginally better. Although modafinil demonstrated marginal superiority, both modafinil and dexamethasone can improve fatigue and QoL in cancer patients. Clinical trials registry of India: CTRI/2018/05/014046 (www.ctri.nic.in).

Causality and avoidability of adverse drug reactions of antibiotics in hospitalized children: a cohort study

BACKGROUND

Adverse drug reactions are a problem in healthcare systems worldwide. Children are more susceptible than adults, especially when exposed to specific drug classes, such as antibiotics.

OBJECTIVE

To assess the incidence, causality, severity, and avoidability of antibiotic-associated adverse drug reactions in hospitalized pediatric patients.

SETTING

Pediatric ward of a high-complexity public hospital in northeast Brazil.

METHODS

A prospective cohort study was conducted over six months, including children aged between 28 days and 12 years, hospitalized for more than 48 h, and receiving antibiotics. Liverpool's causality and avoidability assessment tools were used. Primary outcome measures: Incidence of adverse drug reactions, causality, severity, and avoidability, major antibiotics implicated, risk factors.

RESULTS

A total of 183 patients were followed, and 35 suspected adverse drug reactions were recorded overall incidence equal to 14.7%. Most adverse drug reactions were classified as moderate severity (76.7%), probable (57.1%) and defined (28.6%) causality, and unavoidable (66.7%). The affected organs were the gastrointestinal system (74.1%) and skin (25.9%). Major antibiotics implicated were ceftriaxone (40.7%), azithromycin (25.9%), and crystalline penicillin (11.1%). The number of antibiotics prescribed per patient during hospitalization and the length of stay were the risk factors identified.

CONCLUSION

Causality and severity assessment indicated that most adverse drug reactions were probable and moderate. Possibly avoidable reactions occurred due to inappropriate prescribing when preventive measures were not implemented. Monitoring the use of antibiotics in children is essential to ensure the safety of these patients.

Adverse drug reactions with oral anticoagulants: data from sicilian spontaneous reporting system database

OBJECTIVE

Direct oral anticoagulants (DOACs) were developed to avoid the limitations of vitamin K antagonists (VKAs). DOACs are associated with a greater incidence of gastrointestinal bleeding and a smaller number of intracranial haemorrhages than VKAs. Therefore, it is important to deepen our knowledge of their safety profiles. The aim of this study was thus to analyse adverse drug reaction (ADR) reports on DOACs and VKAs using the Sicilian Spontaneous Reporting System (SRS) database.

METHODS

All ADR reports with DOACs and VKAs as suspected drugs that were entered into the Sicilian SRS database during the period 2001-2019 were selected. In detail, all reports with the following single active substances were included: dabigatran etexilate, rivaroxaban, apixaban and edoxaban; acenocoumarol and warfarin were included as a comparator group. Descriptive statistical methodology was used to evaluate characteristics of the reported cases with a case-by-case assessment.

RESULTS AND DISCUSSION

Out of 521 reports related to anticoagulants, 444 (85.2%) and 77 (14.8%) involved DOACs and VKAs, respectively. DOAC-related reports were mainly of gastrointestinal disorders. In contrast, VKAs were mostly associated with blood and lymphatic system disorders, injury, investigations and vascular disorders. Many more cases of ADRs in the form of gastrointestinal disorders concerned dabigatran etexilate (n = 179, 73.7%) than the other DOACs, while ADRs in the form of blood disorders were mainly associated with acenocoumarol (n = 27, 57.4%). The most commonly reported Preferred Terms for DOACs were dyspepsia (n = 89, 17.1%), upper abdominal pain (n = 41, 9.2%) and pruritus (n = 26, 5.8%), whereas for VKAs, they were anaemia (n = 21, 27.3%) and hypocoagulable state (n = 18, 3.5%). Potentially interacting concomitant medications particularly included antithrombotic agents (n = 19, 4.3%) for DOACs and proton-pump inhibitors (PPIs) (n = 37, 48.1%) and antithrombotic agents (n = 13, 16.9%) for VKAs.

CONCLUSION

The ADRs most commonly associated with DOACs, especially dabigatran, were gastrointestinal disorders, particularly gastrointestinal bleeding. Our study also highlights the potential role of drug-drug interactions in the ADRs. The cases of gastrointestinal bleeding highlight the need for careful prescribing of DOACs and use of potentially interacting concomitant drugs.

Validation of a novel causality assessment scale for adverse events in non-small cell lung carcinoma patients treated with platinum and pemetrexed doublet chemotherapy

Aim:

Accurate causality assessment (CA) of adverse events (AEs) is important in clinical research and routine clinical practice. The Naranjo scale (NS) used for CA lacks specificity, leading to a high rate of false positive causal associations. NS is a simple scale for CA; however, its limitations have reduced its popularity in favour of other scales. We therefore attempted to improvise the algorithm by addressing specific lacunae in NS.

Methods:

We attempted to modify the existing NS by (a) changing the weightage given to certain responses, (b) achieving higher resolution to certain responses for delineating drug related and unrelated AEs and (c) modifying the slabs for classification of association as ‘likely’ and ‘unlikely’. The new scale, named as the Sharma-Nookala-Gota (SNG) algorithm, was evaluated in a training set of 19 AEs in a tertiary care cancer hospital in western India, and further validated in a set of 104 AEs. Consensus of four physician opinion was taken as gold standard for comparison.

Results:

Of the 19 AEs in the training set, 6 were described by the treating physician as ‘not related’ and 13 as related to the drug. The SNG algorithm had 100% concordance with physician opinion, whereas the NS had only 73.7% concordance. NS showed a tendency to misclassify AEs as ‘related’ when they were indeed ‘not related’. In the validation set of 104 AEs, NS and SNG algorithms misclassified 30 and 2 AEs, respectively, leading to a concordance of 70.2% and 98.1%, respectively, with physician opinion.

Conclusion:

Decisive modifications of the NS resulted in the SNG scale, with superior specificity while retaining sensitivity against the gold standard.

Plain Language Summary

SNG algorithm – A novel tool for causality assessment of adverse drug reactions

Adverse events (AEs) can cause increased morbidity, hospitalisation, and even death. Hence it is essential to recognise AEs and to establish their correct causal relationship to a drug. Many causality assessment methods, scales and algorithms are available to assess the relationship between an AE and a drug. The Naranjo algorithm is most commonly employed in spite of its many drawbacks as it is simple to use. Concerns have been raised regarding the performance of the scale, and researchers have tried to answer them, but none of them could address all issues satisfactorily. We too experienced many problems while using it in our routine clinical practice and in clinical trials. For instance, the Naranjo scale is non-specific and shows a bias toward implicating the drug as the causal factor for AEs. This improper assessment has often led to drug discontinuation, thereby compromising the efficacy of treatment. Hence, we modified the existing Naranjo scale to a new one (the Sharma-Nookala-Gota – SNG algorithm) to address these shortcomings. We piloted the SNG causality assessment algorithm in patients suffering from AEs due to various drugs. The SNG algorithm was found to have good concordance with the physicians’ assessment of causality. As a next step, we validated the SNG algorithm in patients receiving a standard drug combination of pemetrexed and carboplatin for lung cancer combination. Out of the 104 AEs observed in 65 patients, the SNG causality assessment algorithm showed good concordance (except in two cases) with the physicians’ decision of causality assessment, while the Naranjo algorithm was not so successful. Hence, the SNG algorithm can be a better guide for causality assessment of AEs.

Challenges to the consolidation of pharmacovigilance practices in Brazil: limitations of the hospital pharmacist

Aims:

The aim of this study was to present the needs of hospital pharmacists in pharmacovigilance practices.

Methods:

This study has a cross-sectional design and was carried out with hospital pharmacists in Brazil. The sample was obtained by voluntary recruitment. Pharmacists who worked at Brazilian hospitals and were registered in their respective regulatory councils were invited to participate in the present study. A personalized questionnaire was developed by the authors and was electronically filled out by the respondents on the platform ‘Google forms’. The questionnaire was nationally available on the digital platform of the Pharmacy Federal Council, the Brazilian Society of Hospital Pharmacy and Health Services, four Pharmacy regional councils and the social network farmacêuticoclínico^®. Quantitative variables were analyzed by mean and standard deviation. The qualitative variables were analyzed by means of absolute and relative frequency. Difficulties related to pharmacovigilance activities are presented in an Ishikawa diagram in the Supplemental Material online.

Results:

Of the 27 federative units of Brazil, we obtained answers from pharmacists located in 85.2% (n = 23) of them. Among the pharmacovigilance practices developed by Brazilian pharmacists, the adverse drug reaction investigation (55.4%) and notification activities (47.0%) were worthy of note. Numerous difficulties were reported by the pharmacists, highlighting the difficulty in monitoring the medication and imputation of causality (27.7%). After categorizing the difficulties reported, it was observed that the category ‘people involved’ (45.1%) stood out from the others.

Conclusion:

This study pointed out numerous challenges to pharmacovigilance practices involving pharmacists in Brazil. It is believed that the correction of certain difficulties may impact on the better consolidation of pharmacovigilance activities in the country. However, regulatory agencies at all hierarchical levels of pharmacovigilance must work together to make it possible.

Plain language Summary

Challenges to the consolidation of pharmacovigilance

This is a study that seeks to present the needs of Brazilian hospital pharmacists in relation to pharmacovigilance activities. Through online interviews, pharmacists answered a questionnaire, presented the pharmacovigilance activities they develop and expressed their anxieties and difficulties for the development of these activities. With this study, it was concluded that numerous activities of active search, investigation and notification of adverse drug reaction are developed by Brazilian pharmacists. However, each pharmacist performs a different method of pharmacovigilance. In addition, it was observed that among the interviewees there was a perception of insufficient professional training and a shortage of professionals to assist in pharmacovigilance activities. These were the main difficulties reported. Therefore, the search for models or agile solutions to solve problems involving adverse drug reactions seems necessary for a better consolidation of pharmacovigilance services in Brazil.

Community-Acquired Acute Kidney Injury Induced By Drugs In Older Patients: A Multifactorial Event

Purpose

Community-acquired acute kidney injury (CA-AKI) is a frequent and severe adverse drug reaction (ADR) among older patients. The combination of drugs and other CA-AKI risk factors was barely evaluated. The objectives of our study were to both accurately identify CA-AKI induced by drugs in older patients, and to describe their combination with other risk factors.

Patients and methods

We conducted a retrospective, single-center study in a general hospital over a two-year period. An automated detection identified CA-AKI according to KDIGO criteria, amongst 4,767 eligible inpatient stays among patients aged 75 years or older. Two independent experts reviewed all CA-AKI events to adjudicate drug involvement (Naranjo scale), identify inappropriate prescriptions (STOPP criteria), evaluate avoidability (Hallas criteria) and identify combined risk factors.

Results

An expert review confirmed 713 CA-AKI (15.0% of inpatient stays) and determined that 419 (58.8%) CA-AKI were induced by drugs. A multifactorial cause (i.e., at least one drug with a precipitating factor) was found in 63.2% of drug-induced CA-AKI. Most of the drug-induced events were avoidable (66.8%), mainly in relation to a multifactorial cause.

Conclusion

Drug-induced CA-AKI were frequent, multifactorial events in hospitalized older patients and their prevention should focus on combinations with precipitating factors.

MOdified NARanjo Causality Scale for ICSRs (MONARCSi): A Decision Support Tool for Safety Scientists

Introduction

Within the field of Pharmacovigilance, the most common approaches for assessing causality between a report of a drug and a corresponding adverse event are clinical judgment, probabilistic methods and algorithms. Although multiple methods using these three approaches have been proposed, there is currently no universally accepted method for assessing drug-event causality in ICSRs and variability in drug-event causality assessments is well documented.

Objective

This study describes the development and validation of an Individual Case Safety Report (ICSR) Causality Decision Support Tool to assist Safety Professionals (SPs) performing causality assessments.

Methods

Roche developed this model with nine drug-event pair features capturing important aspects of Naranjo’s scoring system, selected Bradford–Hill criteria, and internal Roche safety practices. Each of the features was weighted based on individual safety professional (n = 65) assessments of the importance of that feature when assessing causality, using an ordinal weighting scale (0 = no importance, 4 = very high importance). The mean and associated standard deviation for each feature weight was calculated and were used as inputs to a fitted logistic equation, which calculated the probability of a causal relationship between the drug and adverse event. Model training, validation, and testing were conducted by comparing MONARCSi causality classifications to previous company causality assessments for 978 randomly selected, clinical trial drug-event pairs based on their respective features and weights.

Results

The final model test, a two-by-two comparison of the results, showed substantial agreement (Gwet Kappa = 0.77) between MONARCSi and Roche safety professionals’ assessments of causality, using global introspection. The model exhibited moderate sensitivity (65%) and high specificity (93%), high positive and negative predictive values (79 and 88%, respectively), and an F₁ score of 71%.

Conclusion

Analysis suggests that the MONARCSi model could potentially be a useful decision support tool to assist pharmacovigilance safety professionals when evaluating drug-event causality in a consistent and documentable manner.

Electronic supplementary material

The online version of this article (10.1007/s40264-018-0690-y) contains supplementary material, which is available to authorized users.

Survival Time to Biopsy-Proven Acute Rejection and Tacrolimus Adverse Drug Reactions in Pediatric Liver Transplantation

BACKGROUND

Despite advances in surgical procedures and the optimization of immunosuppressive therapies in pediatric liver transplantation, acute rejection (AR) and serious adverse drug reaction (ADR) to tacrolimus still contribute to morbidity and mortality. Identifying risk factors of safety and efficacy parameters may help in optimizing individual immunosuppressive therapies. This study aimed to identify peritransplant predictors of AR and factors related to the risk of ADR to tacrolimus in a large Latin American cohort of pediatric liver transplant patients.

METHODS

We performed a retrospective cohort study in a pediatric liver transplant population (n = 72). Peritransplant variables were collected retrospectively including demographic, clinical, laboratory parameters, genomic (CYP3A5 donor and recipients polymorphism), and tacrolimus trough concentrations (C0) over a 2-year follow-up period. Variability in tacrolimus C0 was calculated using percent coefficient of variation and tortuosity. ADR- and AR-free survival rates were calculated using the Kaplan-Meier method, and risk factors were identified by multivariate Cox regression models.

RESULTS

Cox-proportional hazard models identified that high tortuosity in tacrolimus C0 was associated with an 80% increased risk of AR [hazard ratio (HR), 1.80; 95% confidence interval (CI), 1.01-3.22; P < 0.05], whereas steroid in maintenance doses decreased this risk (HR, 0.56; 95% CI, 0.31-0.99; P < 0.05). Forty-six patients experienced at least one ADR including hypomagnesemia, nephrotoxicity, hypertension, malignancies, and tremor as a first event. Multivariate analysis showed that C0 values 10 days before the event (HR, 1.25; 95% CI, 1.21-1.39; P < 0.0001) and CYP3A5 expresser recipients (HR, 2.05; 95% CI, 1.03-4.06; P < 0.05) were independent predictors of ADR.

CONCLUSIONS

Tacrolimus C0 values, its variability, and CYP3A5 polymorphisms were identified as risk factors of AR and tacrolimus ADR. This knowledge may help to control and reduce their incidence in pediatric liver transplant patients. Prospective studies are important to validate these results.

Confidence and accuracy in identification of adverse drug reactions reported by outpatients

Background Patient reporting of adverse drug reactions (ADRs) could supplement the existing reporting system and contribute to early detection of ADRs. The confidence in ADR identification and their attribution of ADRs were limited to outpatients. Objective To determine the type and frequency of ADRs reported by outpatients, to evaluate confidence and accuracy in ADR identification as well as contributing factors. Setting University hospital in northeastern Thailand Method Cross-sectional study using questionnaires distributed to 500 outpatients who claimed to have experienced an ADR. Confidence in identifying ADRs was measured by visual analogue score (VAS), while accuracy of reported ADRs was determined using Naranjo algorithm and WHO criteria. Main outcome measure Number and type of ADRs, confidence rating and accuracy category. Results In total, 390 outpatients completed the questionnaire (response rate = 78.0%). Rash (19.0%), nausea/vomiting (7.4%), and dizziness (5.8%) were the top three reported ADRs. Sixty-one percent of respondents rated their level of confidence in identifying ADRs as high (VAS 9.2 ± 0.95), which was associated with having underlying diseases (OR 1.93), low number of reported symptoms (OR 0.38) and severe ADRs (OR 1.33). Causality assessment was classified as true ADRs in 90.0% and 88.9% of cases, using Naranjo algorithm and WHO criteria, respectively. Respondents with low number of reported symptoms (OR 0.27) and high level of confidence had greater accuracy in ADR identification (OR 1.11). Conclusion The outpatients reported a high proportion of potential ADRs with high confidence and accuracy. Patient reporting of ADRs has potential to support the pharmacovigilance system.

Survivability of hospitalized chronic kidney disease (CKD) patients with moderate to severe estimated glomerular filtration rate (eGFR) after experiencing adverse drug reactions (ADRs) in a public healthcare center: a retrospective 3 year study

Background

Accurate identification and routine preventive practices are crucial steps in lessening the incidence of medications and patients related adverse drug reactions (ADRs).

Methods

Three years retrospective study was conducted among chronic kidney disease (CKD) patients at multi-wards in a tertiary healthcare center. Data collected included demographic characteristics, physical examination results, comorbid conditions, laboratory tests and medications taken. Only medication prescribed during the hospital stay were considered in this study.

Results

From this study only one ADR incident was definitely preventable and majority of other ADRs (88.3%) were possibly preventable. Type of renal replacement therapy (p = 0.023) and stages of renal function (p = 0.002) were significantly associated with survivability of the hospitalized CKD patients after ADRs. Highest percentage of mortality based on categories were 50–59 years (20.0%), male (16.3%), Indian ethnicity (23.7%), obese (15.0%), smoking (17.1%), consumes alcohol (17.4%), conservative management of renal disease (19.5%) and renal function of < 15 mL/min/1.73m². Overall survivability using Kaplan-Meier analysis reported a significant difference of 18-day survival rate between patients undergoing hemodialysis and patients conservatively managing their renal disease. The 18 days survival rate of patients undergoing hemodialysis, peritoneal dialysis and conservative management were 94.9%, 91.7% and 75.1% respectively. Eighteen days survival rate of patients with renal functions of 30–59 mL/min/1.73m², 15–29 mL/min/1.73m² and < 15 mL/min/1.73m² were 87.4%, 69.8% and 88.6% respectively. Similarly, Cox regression analysis revealed that renal replacement therapy was the only factor significantly contributed to ADRs related mortality. CKD patients whom conservatively managed renal disease or/and with renal function of < 15 mL/min/1.73m² had 5.61 and 5.33 higher mortality risk respectively.

Conclusion

Majority of the reported ADRs were possibly preventable. Renal replacement therapy and/or renal function were significant risk factors for mortality due to ADRs among hospitalized CKD patients stages 3 to 5. Clinician engagement, intensive resources and regular updates aided with online monitoring technology are needed for enhancing care and prevention of ADRs among CKD patients.

Comparison of different methods for causality assessment of adverse drug reactions

Background The causality assessment of adverse drug reactions (ADRs) remains a challenge, and none of the different available method of causality assessment used for assessing adverse reactions has been universally accepted as the gold standard. Objective To examine the agreement and correlation among three broad approaches for causality assessment of ADRs viz. World Health Organization-Uppsala Monitoring Centre (WHO-UMC) system, Naranjo algorithm, and updated Logistic method. Setting ADR monitoring centre (AMC) of a tertiary care teaching hospital in India. Method A total of 230 cases of ADR from April 2017 to August 2017 were retrospectively analyzed by each of these three methods. The agreement among the different methods was calculated by Cohen's kappa (κ), and Spearman's correlation was used to find the correlation among these methods. Main outcome measures Cohen's kappa value and Spearman's correlation coefficient for comparison among the different methods. Results The Cohen's κ used for analyzing the agreement between WHO-UMC system and Naranjo algorithm was 0.45, between WHO-UMC system and updated Logistic method was 0.405, and between Naranjo algorithm and updated Logistic method was 0.606. The Spearman's correlation coefficient was 0.793 for Naranjo algorithm vs. updated Logistic method, 0.735 for WHO-UMC system vs. Naranjo algorithm, and 0.696 for WHO-UMC system vs. updated Logistic method. Conclusion Causality assessment based on objective measurements (scores and probabilities) like updated Logistic method and Naranjo algorithm are less prone to subjective variations compared to the WHO-UMC system which is based on expert judgement.

Characteristics of drugs safety signals that predict safety related product information update

Purpose

Investigation of drug safety signals is one of the major tasks in pharmacovigilance. Among many potential signals identified, only a few reflect adverse drug reactions requiring regulatory actions, such as product information (PI) update. Limited information is available regarding the signal characteristics that might predict PI update following signal evaluation. The objective of this study was to identify signal characteristics associated with PI updates following signal evaluation by the European Medicines Agency Pharmacovigilance Risk Assessment Committee during 2012 to 2016.

Methods

A comparative study was performed based on data from 172 safety signals. Characteristics of signals were extracted from the European Pharmacovigilance Issues Tracking Tool database. Multivariable logistic regression analysis was used to assess the relationship between signal characteristics and the decision to update the PI.

Results

Multivariable logistic regression analysis showed that the presence of evidence in multiple types of data sources (adjusted odds ratio [OR] 7.8 95% CI [1.5, 40.1]); mechanistic plausibility of the drug‐event association (adjusted OR 3.9 95% CI [1.9, 8.0]); seriousness of the event (adjusted OR 4.2 95% CI [1.3, 13.9]); and age of drugs ≤5 years (adjusted OR 3.9 95% CI [1.2, 12.7]) were associated with the decision to change the PI (P < 0.05).

Conclusions

This study identified 4 characteristics of drug safety signals that have shown to be associated with PI changes as outcome of signal evaluation. These characteristics may be used as criteria for selection and prioritization of potential signals that are more likely to necessitate product information updates.

Tool to assess causality of direct and indirect adverse events associated with therapeutic interventions

OBJECTIVE

To develop and test a tool to assess the causality of direct and indirect adverse events associated with therapeutic interventions. The intervention was one or more drugs and/or natural health products, a device, or practice (professional delivering the intervention).

METHODS

Through the assessment of causality of adverse events, we can learn about factors contributing to the harm and consider what modification may prevent its reoccurrence. Existing scales (WHO-UMC, Naranjo and Horn) were adapted to develop a tool (algorithm and table) to evaluate cases of serious harmful events reported through a national surveillance study. We also incorporated a novel approach that assesses indirect harm (caused by the delay in diagnosis/treatment) and the health provider delivering the intervention (practice). The tool was tested, revised and then implemented to assess all reported cases of serious events resulting from use of complementary therapies. The use of complementary therapies was the trigger to report the event. Each case was evaluated by two assessors, out of a panel of five, representing different health care professionals.

RESULTS

The tool was used in assessment of eight serious adverse events. Each event was independently evaluated by two assessors. The algorithm facilitated assessment of a serious direct or indirect harm. Assessors agreed in the final score on seven of eight cases (weighted kappa coefficient of 0.75).

CONCLUSION

A tool to support the assessment of causality of adverse events was developed and tested. We propose a novel method to assess direct and indirect harms related to product(s), device(s), practice or a combination of the previous. Further research will probably help evaluate this approach across different settings and interventions.

Imputation of adverse drug reactions: Causality assessment in hospitals

BACKGROUND & OBJECTIVES

Different algorithms have been developed to standardize the causality assessment of adverse drug reactions (ADR). Although most share common characteristics, the results of the causality assessment are variable depending on the algorithm used. Therefore, using 10 different algorithms, the study aimed to compare inter-rater and multi-rater agreement for ADR causality assessment and identify the most consistent to hospitals.

METHODS

Using ten causality algorithms, four judges independently assessed the first 44 cases of ADRs reported during the first year of implementation of a risk management service in a medium complexity hospital in the state of Sao Paulo (Brazil). Owing to variations in the terminology used for causality, the equivalent imputation terms were grouped into four categories: definite, probable, possible and unlikely. Inter-rater and multi-rater agreement analysis was performed by calculating the Cohen´s and Light´s kappa coefficients, respectively.

RESULTS

None of the algorithms showed 100% reproducibility in the causal imputation. Fair inter-rater and multi-rater agreement was found. Emanuele (1984) and WHO-UMC (2010) algorithms showed a fair rate of agreement between the judges (k = 0.36).

INTERPRETATION & CONCLUSIONS

Although the ADR causality assessment algorithms were poorly reproducible, our data suggest that WHO-UMC algorithm is the most consistent for imputation in hospitals, since it allows evaluating the quality of the report. However, to improve the ability of assessing the causality using algorithms, it is necessary to include criteria for the evaluation of drug-related problems, which may be related to confounding variables that underestimate the causal association.

Post-marketing withdrawal of 462 medicinal products because of adverse drug reactions: a systematic review of the world literature

BACKGROUND

There have been no studies of the patterns of post-marketing withdrawals of medicinal products to which adverse reactions have been attributed. We identified medicinal products that were withdrawn because of adverse drug reactions, examined the evidence to support such withdrawals, and explored the pattern of withdrawals across countries.

METHODS

We searched PubMed, Google Scholar, the WHO's database of drugs, the websites of drug regulatory authorities, and textbooks. We included medicinal products withdrawn between 1950 and 2014 and assessed the levels of evidence used in making withdrawal decisions using the criteria of the Oxford Centre for Evidence Based Medicine.

RESULTS

We identified 462 medicinal products that were withdrawn from the market between 1953 and 2013, the most common reason being hepatotoxicity. The supporting evidence in 72 % of cases consisted of anecdotal reports. Only 43 (9.34 %) drugs were withdrawn worldwide and 179 (39 %) were withdrawn in one country only. Withdrawal was significantly less likely in Africa than in other continents (Europe, the Americas, Asia, and Australasia and Oceania). The median interval between the first reported adverse reaction and the year of first withdrawal was 6 years (IQR, 1-15) and the interval did not consistently shorten over time.

CONCLUSION

There are discrepancies in the patterns of withdrawal of medicinal products from the market when adverse reactions are suspected, and withdrawals are inconsistent across countries. Greater co-ordination among drug regulatory authorities and increased transparency in reporting suspected adverse drug reactions would help improve current decision-making processes.