Comparison of different methods for causality assessment of adverse drug reactions

The International Working Group on New Developments in Pharmacovigilance: Advancing Methods and Communication in Pharmacovigilance

PURPOSE

In 2019, the International Working Group (IWG), focusing on New Developments in Pharmacovigilance, was established. This group is coordinated by the Drug Safety Research Unit in the United Kingdom, and the mission of the IWG is to progress pharmacovigilance methodologies and promote the safe and effective use of medicines and vaccines, thereby further protecting patients. Novel therapeutics are continuously being developed to alleviate medical conditions, but with advancing technologies, innovative pharmacovigilance methodologies need to be developed to effectively monitor the use and safety of these products. With reduced timelines proposed for premarketing clinical trials and increased application of real-world evidence supporting regulatory approvals, products may be used in real-world clinical practice in shorter timeframes than before. Therefore, the need for effective methods of monitoring medicines and collecting safety data in real-time is of paramount importance to public health.

METHODS

The IWG aims to advance existing methodologies used in the detection, monitoring, and analysis of safety data in pharmacovigilance and to communicate best practice proposals to support decision making in health care. The IWG will identify areas requiring review of current processes or methodologic research and will communicate the output of the IWG through peer-reviewed publications, reports, and presentation of findings at relevant conferences and scientific meetings.

FINDINGS

The IWG is currently reviewing two areas in pharmacovigilance; case-level causality assessment and the strengths and limitations of data sources. The IWG is advancing these areas by producing two scoping reviews which will be easily accessible to regulatory agencies, industry, academia, and interested persons or organizations.

IMPLICATIONS

The scoping reviews comply with the IWGs mission to progress pharmacovigilance methodologies and promote the safe and effective use of medicines and vaccines. The present article shares details of the objectives of the IWG and provides an overview on the status of IWG activities.

Causality Assessment Between Drugs and Fatal Cerebral Haemorrhage Using Electronic Medical Records: Comparative Evaluation of Disease-Specific and Conventional Methods

INTRODUCTION

A new algorithm for causality assessment of drugs and fatal cerebral haemorrhage (ACAD-FCH) was published in 2021. However, its use in clinical practice has not been verified.

OBJECTIVES

This study aimed to explore the practical value of the ACAD-FCH when applying information available in clinical practice.

METHODS

The medical records of patients who died at the University of Tokyo Hospital in 2020 were reviewed, and cases with intracranial haemorrhage were selected. Two evaluators independently assessed these cases using three methods (the ACAD-FCH, Naranjo algorithm, and WHO-UMC scale). The number of 'Yes', 'No', and 'No information/Do not know' responses to each question by both evaluators were summed and compared. Inter-rater reliability was evaluated for each method using agreement rates and kappa coefficients with 95% confidence intervals (CI).

RESULTS

Among 316 deaths, 24 cases with intracranial haemorrhage were evaluated. The proportion of ‛No information/Do not know' responses for each question was 35.6% (95% CI 31.4-40.6%) for the ACAD-FCH and 66.9% (95% CI 62.5-71.1%) for the Naranjo algorithm. The respective agreement rates and kappa coefficients were 0.917 (0.798-1.00) and 0.867 (0.675-1.00) for the ACAD-FCH, 0.708 (0.512-0.904) and 0.139 (-0.236 to 0.513) for the Naranjo algorithm, and 0.50 (0.284-0.716) and 0.326 (0.110-0.541) for the WHO-UMC scale, respectively.

CONCLUSION

Our findings suggest the utility of the ACAD-FCH when assessing death cases with intracranial haemorrhage. However, larger studies including intra-rater assessments are warranted for further validation of this algorithm.

The REporting of A Disproportionality Analysis for DrUg Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Explanation and Elaboration

In pharmacovigilance, disproportionality analyses based on individual case safety reports are widely used to detect safety signals. Unfortunately, publishing disproportionality analyses lacks specific guidelines, often leading to incomplete and ambiguous reporting, and carries the risk of incorrect conclusions when data are not placed in the correct context. The REporting of A Disproportionality analysis for drUg Safety signal detection using individual case safety reports in PharmacoVigilance (READUS-PV) statement was developed to address this issue by promoting transparent and comprehensive reporting of disproportionality studies. While the statement paper explains in greater detail the procedure followed to develop these guidelines, with this explanation paper we present the 14 items retained for READUS-PV guidelines, together with an in-depth explanation of their rationale and bullet points to illustrate their practical implementation. Our primary objective is to foster the adoption of the READUS-PV guidelines among authors, editors, peer reviewers, and readers of disproportionality analyses. Enhancing transparency, completeness, and accuracy of reporting, as well as proper interpretation of their results, READUS-PV guidelines will ultimately facilitate evidence-based decision making in pharmacovigilance.

Inter-rater agreement between WHO- Uppsala Monitoring Centre system and Naranjo algorithm for causality assessment of adverse drug reactions

Determining the causality of Adverse Drug Reactions (ADRs) is essential for management and prevention of future occurrences. The WHO-Uppsala Monitoring Centre (UMC) system is recommended under the Pharmacovigilance Program of India whereas Naranjo's algorithm is commonly utilized by clinicians, but their agreement remains a subject of investigation. This study aims to compare the inter-rater agreement between these two scales for causality assessment of ADRs. In this cross-sectional study, two groups of pharmacovigilance experts were given a set of total 399 anonymized individual case safety reports, collected over six months. The raters were blinded to each other's assessments and applied the WHO-UMC system and Naranjo algorithm to each case independently. Inter-rater agreement was then evaluated utilizing Cohen's kappa. The suspected ADRs were also comprehensively analysed on parameters like age, sex, route of administration, speciality, organ system affected, most common drug categories and individual drugs, outcome of ADRs. Analysis of 399 suspected ADRs revealed that mean age of patients was 36.8 ± 18.0 years, females were more frequently affected, highest proportion of reports were from psychiatry inpatients, seen with antipsychotic drugs, involved the central nervous system, with oral administration, and 91% resolved. On causality assessment by the WHO-UMC system, 53.3% were "Certain" whereas Naranjo's algorithm categorized 96.74% of ADRs as "Probable". Cohen's kappa showed a "Minimal" agreement (0.22) between WHO-UMC and Naranjo system of causality assessment. The considerable lack of agreement between the two commonly employed systems of causality assessment of ADRs warrants further investigation into specific factors influencing the disagreement to improve the accuracy of causality assessments.

Case report: Pembrolizumab as an alternative to atezolizumab following a severe infusion reaction

The emergence of immune-checkpoint inhibitors (ICIs) has revolutionized the field of oncology, providing promising results in various malignancies. However, ICIs can sometimes lead to severe injection reactions, requiring alternative treatment options. In this case report, we introduce a case of a severe infusion reaction induced by atezolizumab. After atezolizumab infusion, the patient experienced symptoms that were suggestive of anaphylactic shock, including chest tightness, low blood pressure, and loss of consciousness, all of which were restored by immediate administration of steroid, antihistamine, and epinephrine. When selecting a new ICI, we were concerned about cross-reactivity with atezolizumab. As such, we conducted a skin test to establish the underlying mechanism of the previous reaction to atezolizumab infusion, the results of which were highly suggestive of Ig-E-mediated hypersensitivity. The skin test for pembrolizumab, another ICI, was negative. Therefore, we replaced atezolizumab with pembrolizumab, and the infusion proceeded safely. To date, the patient has undergone 13 cycles of pembrolizumab, and the disease has remained stable. This case demonstrates that patients who exhibit severe injection reactions to ICIs can continue treatment safely, without cross-reactions, with alternative ICIs. This case will help provide patients who have experienced drug-related hypersensitivity reactions with a choice to use alternative ICIs, thus expanding their options for chemotherapy.

Comparison of dolutegravir+Lamivudine and bictegravir/emtricitabine/tenofovir alafenamide in antiretroviral therapy-naïve patients infected with HIV: preliminary results from clinical practice

BACKGROUND

The efficacy and safety of dolutegravir+lamivudine (DTG +3TC) and bictegravir/emtricitabine/tenofovir alafenamide (BIC/FTC/TAF) have been demonstrated in clinical trials of treatment-naïve therapy. However, real-life data are lacking. We investigated and compared the virological outcomes and safety of DTG + 3TC with BIC/FTC/TAF in an adult cohort of people living with HIV (PLWH).

RESEARCH DESIGN AND METHODS

We performed a retrospective cohort analysis of PLWH who were naïve to antiretroviral therapy and initiated the antiretroviral regimen of DTG + 3TC or BIC/FTC/TAF from January 2020 to March 2022. Treatment effectiveness, defined as the capability of treatment to achieve viral suppression (viral load < 50 copies/mL), was analyzed. Changes in immunology, metabolism, liver and renal function after 48 weeks of treatment were evaluated.

RESULTS

At 48 weeks, both groups showed high viral suppression, with 82.4% (108/131) and 89% (129/145) of the patients in the BIC/FTC/TAF and DTG + 3TC groups, respectively, having viral suppression (OR = 0.58, 95% CI: 0.29-1.15, P = 0.3). No differences existed in immunology, metabolism, liver and renal function; however, BIC/FTC/TAF led to greater weight gain.

CONCLUSIONS

Both optimization strategies showed high tolerability in antiretroviral therapy-naïve patients, with no differences in virological efficacy; however, BIC/FTC/TAF may be related to the risk of weight gain risk. Further research is required to evaluate this problem.

A Rare Case of Late-Onset Ertapenem-Induced Encephalopathy

Encephalopathy is a rare side effect associated with carbapenem antibiotics, typically presenting within one week of initiating treatment. It is almost exclusively seen in patients with poor renal function. We present a case of a middle-aged male with a history of cerebral vascular accident and normal renal function admitted for agitation, delirium, and insomnia more than two weeks after starting ertapenem to treat osteomyelitis. He was empirically treated for meningitis on admission, and ertapenem was discontinued. After an extensive negative workup for infectious and neurological etiologies of encephalopathy, a presumptive diagnosis of ertapenem-induced encephalopathy was made. The patient returned to his baseline mental status five days after discontinuing ertapenem. The nature of his neurological symptoms and timely resolution after stopping ertapenem is consistent with ertapenem-induced encephalopathy and represents a notably delayed symptom onset compared to previously described cases.

Short-term safety and efficacy of escalating doses of atorvastatin for dyslipidemia in children with predialysis chronic kidney disease stage 2-5

BACKGROUND

Dyslipidemia is a potentially modifiable risk factor in patients with chronic kidney disease (CKD). Information on the safety and efficacy of statins in pediatric CKD is limited.

METHODS

Patients with CKD stage 2-5 and aged 5-18 years with low-density lipoprotein cholesterol (LDL-C) > 130 mg/dL and/or non-high-density lipoprotein cholesterol (non-HDL-C) > 145 mg/dL were enrolled from September 2019 to February 2021. All patients were administered atorvastatin 10 mg/day, which was escalated to 20 mg/day if LDL-C remained > 100 mg/dL and/or non-HDL-C > 120 mg/dL at 12 weeks. Proportion of patients achieving target lipid levels (LDL-C ≤ 100 mg/dL and non-HDL-C ≤ 120 mg/dL) and adverse events were assessed at 24 weeks.

RESULTS

Of 31 patients enrolled, target lipid levels were achieved in 45.2% (95% CI 27.8-63.7%) at 24 weeks; 22 patients required dose escalation to 20 mg at 12 weeks. There was no difference in median lipid level reduction with 10 (n = 9) versus 20 mg/day (n = 22, P = 0.3). Higher baseline LDL-C (OR 1.06, 95% CI 1.00-1.11) and older age (OR 36.5, 95% CI 2.57-519.14) were independent predictors of failure to achieve target lipid levels with 10 mg/day atorvastatin. None had persistent rise in AST/ALT > 3 times upper normal limit (UNL) or CPK > 10 times UNL. No differences were noted in adverse events due to atorvastatin 10 or 20 mg/day.

CONCLUSION

Atorvastatin (10-20 mg/day) administered for 24 weeks was safe and effectively reduced LDL-C and non-HDL-C in children with CKD stages 2-5. Patients with higher baseline LDL-C required higher doses to achieve the target. A higher resolution version of the Graphical abstract is available as Supplementary information.

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.

Adverse drug reactions in the ambulatory internal patients at the emergency department: Focus on causality assessment and drug-drug interactions

A non-interventional retrospective study in ambulatory patients was conducted at the emergency department of the Division of internal medicine. In 2 months, 266 suspected adverse drug reactions (ADRs) were identified in 224/3453 patients (6.5 %). In 158/3453 patients (4.6 %), an ADR was the reason for emergency department visit and in 49 patients (1.4 %), ADRs led to hospitalisation. A causality assessment algorithm was developed, which included Naranjo algorithm and levels of ADR recognition by the treating physician and the investigators. Using this algorithm, 63/266 ADRs (23.7 %) were classified as "certain", whereas using solely the Naranjo score calculation, only 19/266 ADRs (7.1 %) were assessed as "probable" or "certain", and the rest of ADRs (namely, 247/266 = 92.9 %) were assessed as "possible". There were 116/266 (43.6 %) ADRs related to potential drug-drug interactions (DDIs), stated in at least one of the literature sources used. Based on the causality relationship, the rate of the clinically expressed DDIs was 19.0 %, or 12/63 "certain" ADR cases. Of these, 10 cases presented serious DDI-related ADRs. In summary, ADR causality assessment based exclusively on Naranjo algorithm demonstrated low sensitivity at an ambulatory emergency setting. Additional clinical judgment, including the opinion of the treating physician, proved necessary to avoid under-rating of the causality relationship, and enabled the determination of clinically expressed DDIs.

Pharmacovigilance and Its Importance for Primary Health Care Professionals

Pharmacovigilance is used to detect, assess, understand, and prevent the adverse effects of medications. The need for safety monitoring has evolved around unfortunate incidents in history, with deaths caused by anesthesia and congenital malformations from thalidomide use. Reports from adverse drug reactions (ADRs) are stored in a global database and can be used to evaluate the associations between various medications and associated ADRs. Clinicians play an important role in the recognition and reporting of ADRs to national pharmacovigilance centers (NPCs). The purpose of NPCs is to make the clinicians understand their functions, including the monitoring, investigation, and assessment of ADR reports, along with periodical benefit-risk assessments of medications via multiple sources. A case study on NPCs and the types of safety issues evaluated by them are provided to illustrate their role in medicine safety surveillance. ADR monitoring was also combined with vaccine safety surveillance approaches. Overall, this study will provide insights to clinicians on the importance of pharmacovigilance in maintaining patient safety with the proper use of medications.

Probable ertapenem-induced encephalopathy; case report and suggested alternatives for chronic prostatitis

Ertapenem is a carbapenem antibiotic usually reserved for complicated infections. Drug-induced neurotoxicity is a rare adverse reaction associated with ertapenem, and may be directly related to its chemical structure. We report a case of a 64-year-old male with a hematological history and chronic prostatitis that was admitted to hospital for gait instability, clumsiness, dysarthria and tremors. He started ertapenem intravenous 1 g once daily a week prior to admission. Creatinine clearance calculation by the Cockcroft-Gault method was 52 mL/min and total protein levels were low. Ertapenem's administration was discontinued and the patient's neurological symptoms improved dramatically just one day after. The result of the Naranjo Scale was six, suggesting a probable adverse drug reaction. We discussed if he could receive meropenem in case of severe infection such as septic shock. Considering the patient's medical history, the chemical structure of meropenem and the fact that there are almost no reported cases of neurotoxicity from this drug, we assume that meropenem could be used in case of severe infection in patients with history of neurotoxicity caused by ertapenem if no added risk factors are present, such as renal failure.

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.

Machine Learning in Causal Inference: Application in Pharmacovigilance

Monitoring adverse drug events or pharmacovigilance has been promoted by the World Health Organization to assure the safety of medicines through a timely and reliable information exchange regarding drug safety issues. We aim to discuss the application of machine learning methods as well as causal inference paradigms in pharmacovigilance. We first reviewed data sources for pharmacovigilance. Then, we examined traditional causal inference paradigms, their applications in pharmacovigilance, and how machine learning methods and causal inference paradigms were integrated to enhance the performance of traditional causal inference paradigms. Finally, we summarized issues with currently mainstream correlation-based machine learning models and how the machine learning community has tried to address these issues by incorporating causal inference paradigms. Our literature search revealed that most existing data sources and tasks for pharmacovigilance were not designed for causal inference. Additionally, pharmacovigilance was lagging in adopting machine learning-causal inference integrated models. We highlight several currently trending directions or gaps to integrate causal inference with machine learning in pharmacovigilance research. Finally, our literature search revealed that the adoption of causal paradigms can mitigate known issues with machine learning models. We foresee that the pharmacovigilance domain can benefit from the progress in the machine learning field.

Automatic assessment of adverse drug reaction reports with interactive visual exploration

A large number of adverse drug reaction (ADR) reports are collected yearly through the spontaneous report system (SRS). However, experienced experts from ADR monitoring centers (ADR experts, hereafter) reviewed only a few reports based on current policies. Moreover, the causality assessment of ADR reports was conducted according to the official approach based on the WHO-UMC system, a knowledge- and labor-intensive task that highly relies on an individual’s expertise. Our objective is to devise a method to automatically assess ADR reports and support the efficient exploration of ADRs interactively. Our method could improve the capability to assess and explore a large volume of ADR reports and aid reporters in self-improvement. We proposed a workflow for assisting the assessment of ADR reports by combining an automatic assessment prediction model and a human-centered interactive visualization method. Our automatic causality assessment model (ACA model)—an ordinal logistic regression model—automatically assesses ADR reports under the current causality category. Based on the results of the ACA model, we designed a warning signal to indicate the degree of the anomaly of ADR reports. An interactive visualization technique was used for exploring and examining reports extended by automatic assessment of the ACA model and the warning signal. We applied our method to the SRS report dataset of the year 2019, collected in Guangdong province, China. Our method is evaluated by comparing automatic assessments by the ACA model to ADR reports labeled by ADR experts, i.e., the ground truth results from the multinomial logistic regression and the decision tree. The ACA model achieves an accuracy of 85.99%, a multiclass macro-averaged area under the curve (AUC) of 0.9572, while the multinomial logistics regression and decision tree yield 80.82%, 0.8603, and 85.39%, 0.9440, respectively, on the testing set. The new warning signal is able to assist ADR experts to quickly focus on reports of interest with our interactive visualzation tool. Reports of interest that are selected with high scores of the warning signal are analyzed in details by an ADR expert. The usefulness of the overall method is further evaluated through the interactive analysis of the data by ADR expert. Our ACA model achieves good performance and is superior to the multinomial logistics and the decision tree. The warning signal we designed allows efficient filtering of the full ADR reports down to much fewer reports showing anomalies. The usefulness of our interactive visualization is demonstrated by examples of unusual reports that are quickly identified. Our overall method could potentially improve the capability of analyzing ADR reports and reduce human labor and the chance of missing critical reports.

Sports nutrition supplements and adverse events - a meta-epidemiological study of case reports specifically addressing causality assessment

PURPOSE

This meta-epidemiological study aimed to systematically review case reports regarding sports nutrition supplements and adverse events (AEs), specifically addressing the issue of causality assessments.

METHODS

Through a systematic literature search we identified all published case reports of AEs associated with sports nutrition supplements between 1 January 2008 and 1 March 2019. Data regarding AEs, suspected supplements, relevant causality assessment factors and the reporting of clinical reasoning and/or systematic causality assessment methods were extracted.

RESULTS

In all, 72 publications were included, reporting 134 supplements and 37 different AEs in 97 patients (85% males; median age: 30 years [range: 14-60]). Information regarding previous health and regular prescription drugs was not presented in 30% (29/97) and 46% (45/97) of cases, respectively. In 23% (22/97) of the cases, no alternative cause was mentioned. Clinical reasoning was identified in 63% (61/97), and in 13% (8/61) of these, a systematic causality assessment method was applied. In cases with clinical reasoning, a theoretic rationale (92% vs 78%, P = 0.05), a description of previous cases (90% vs 72%, P = 0.021) and body fluid analysis (18% vs 3%, P = 0.027) were reported to a greater extent. Among cases with clinical reasoning, the application of a systematic causality assessment method captured additional important aspects: use of medication (100% vs 55%, P = 0.015), alcohol use (88% vs 43%, P = 0.020) and illicit drug use (88% vs 40%, P = 0.011).

CONCLUSIONS

In published case reports where sports nutrition supplements were suspected to have caused AEs, essential factors for causality assessment were left out in a non-negligible proportion. Clinical reasoning was identified in most cases whereas a systematic causality assessment method was applied in a minority. Factors of importance for causality assessment were reported to a greater extent in cases including clinical reasoning, and the application of a systematic causality assessment method captured additional aspects of importance.

Agreement between WHO-UMC causality scale and the Naranjo algorithm for causality assessment of adverse drug reactions

Background

The Pharmacovigilance Program of India recommends the use of the World Health Organization-Uppsala Monitoring Centre (WHO-UMC) scale, while many clinicians prefer the Naranjo algorithm for its simplicity. In the present study, we assessed agreement between the two widely used causality assessment scales, that is, the WHO-UMC criteria and the Naranjo algorithm.

Materials and Methods

In this study, 842 individual case safety reports were randomly selected from 1000 spontaneously reported forms submitted to the ADR Monitoring Center at a tertiary healthcare Institute in Central India between 2016 and 2018. Two well-trained independent groups performed the causality assessment. One group performed a causality assessment of the 842 ADRs using the WHO-UMC criteria and the other group performed the same using the Naranjo algorithm. The agreement between two ADR causality scales was assessed using the weighted kappa (κ) test.

Results

Cohen's kappa coefficient (κ) statistical test was applied between the two scales (WHO-UMC scale and Naranjo algorithm) to find out the agreement between these two scales. "No" agreement was found between the two scales {Kappa statistic with 95% confidence interval = 0.048 (P < 0.001)}.

Conclusion

There was no agreement found between the WHO-UMC criteria and the Naranjo algorithm in our study.

Assessment of Knowledge, Attitude and Practice of Adverse Drug Reaction Reporting Among Healthcare Professionals working in Primary, Secondary and Tertiary Healthcare Facilities in Ekiti State, South-West Nigeria

Background

Adverse drug reactions (ADRs) constitute a significant global healthcare challenge associated with increased morbidity, mortality and healthcare costs; however, there are concerns that ADRs are grossly under-reported by different categories of healthcare professionals (HCPs) in many countries. The main objective of this study was to assess the knowledge, attitude and practice of ADR reporting of HCPs working at the primary, secondary and tertiary levels of care in Ekiti State, Nigeria.

Methodology

This was a self-administered questionnaire-based study conducted among HCPs working in Ekiti State, South-west Nigeria. The questionnaire which was adapted from ones used in similar studies was reviewed for content validity by experts in the field. Healthcare professionals (medical doctors, pharmacists, nurses, community health extension workers, and other allied HCPs) working in the 3 tiers of healthcare participated in the study. The questionnaire consisted of sections on the demographics of respondents, their knowledge, attitude and practice of ADR reporting. Data analysis was done using SPSS (version 25) employing t test, ANOVA and chi-square as appropriate with P-value < .05 accepted as being statistically significant.

Results

Three hundred HCPs comprising of nurses (112; 37.3%), physicians (75; 25.0%), pharmacists (53; 17.7%), community health extension workers (40; 13.3%) and others (20; 6.7%) completed the questionnaire with 166 (55.3%) of them working in tertiary healthcare facilities. Male respondents (6.3 ± 1.7; P = .003), pharmacists (7.0 ± 1.6; P < .0001), HCPs and those from tertiary centers (6.2 ± 1.7; P = .028) had higher knowledge scores. While 228 (76%) respondents had observed incidents of ADR during their professional practice, only 75 (25%) have ever reported it. Only 113 (37.7%) of respondents had seen the adverse drug reaction reporting form with only 53 (17.7%) ever using it. The reporting methods preferred by respondents were through email/internet (102; 34.0%), phone/SMS (78; 26.0%) and using the hard copy of the forms (95; 31.7%). The attitude of respondents towards ADR reporting was mainly positive.

Conclusion

There was significant variation in the knowledge of different categories of HCPs and facility levels about ADR reporting. Encouragingly, the overall attitude of respondents towards ADR reporting was positive. Based on the above, strategies are needed to build capacity of HCPs in the area of on adverse drug reaction and its' reporting.

Vasculitis associated with the use of an intrauterine device: A case report

Retinal vasculitis is a complication associated with a local condition or it can be a retinal expression of a systemic inflammatory disorder, which initially may go unnoticed. Drug-associated vasculitis is frequently difficult to identify, because many patients follow treatments with more than one drug and the route of administration varies. A 35-year-old female patient presented with sudden hearing loss, headache and blurred vision that had started two weeks earlier and had become progressively worse. Ophthalmological examination revealed anterior uveitis, bilateral optic disc swelling and retinal vasculitis. The orbito-cerebral MRI, the CT scan and the serological tests were within normal limits. Unable to identify the cause of the retinal vasculitis, the patient's medical history was reviewed. The patient had recently had a gynecological procedure, where a 13.5 mg levonorgestrel intrauterine contraceptive device was implanted. After the device was removed and methylprednisolone treatment started, the patient presented a visible remission of the symptoms and signs. To the best of our knowledge, there is no case of retinal disease and optic disc edema associated with auditory problems caused by an intrauterine device. A proper examination, correlated with a very thorough medical history, could identify rare diseases and associations, in order to provide adequate medical care.

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.

Remdesivir in the COVID-19 Pandemic: An Analysis of Spontaneous Reports in VigiBase During 2020

INTRODUCTION

The safety profile of remdesivir, conditionally approved for COVID-19, was limited at its 2020 introduction. Adverse drug reactions (ADRs) for medicines are collected in VigiBase, the WHO Global Database of Individual Case Safety Reports (ICSRs).

OBJECTIVE

This study aimed to provide a descriptive analysis of COVID-19 ICSR data focusing on remdesivir, including a disproportionality analysis (DA) of ADRs.

METHODS

A dedicated algorithm enabled retrieval of all COVID-19 treatment-specific ICSRs. A severity algorithm based on co-reported medicines and symptoms enabled selection of tocilizumab with its well established safety profile as comparator for remdesivir. Descriptive statistics were used for general ICSR demographics for all COVID-19-specific medicines, remdesivir and tocilizumab individually and furthermore to present treatment patterns of medicines co-reported with remdesivir. A COVID-19 indication-focused DA was deployed to minimize confounding from underlying polysymptomatic disease.

RESULTS

14,574 COVID-19-related ICSRs were entered into VigiBase during 2020. Remdesivir was the most common medicine reported. Of 4944 remdesivir ICSRs, where tocilizumab was not co-reported, 93% described remdesivir as the sole suspect medicine. Sixty percent of ICSRs concerned males, median age was 63 years and the majority originated from the Americas (72%). In 1089 (21%) of remdesivir ICSRs, data indicated severe/critical disease. Co-reported medicines peaked during the first 3 days of remdesivir treatment. The DA for the established tocilizumab and the new remdesivir were mainly in line with the safety profiles for both medicines but suggested new safety concerns. The most reported ADRs for remdesivir represented liver dysfunction, kidney injury, death and bradycardia.

CONCLUSION

Global COVID-19-related ADR reporting proved useful in providing information on ADRs as well as on treatment patterns in this patient group. Indication-focused disproportionality analysis, together with the use of a comparator with a known safety profile, proved effective in identifying known safety information and suggested new safety concerns for remdesivir.

Evaluation of adverse drug reaction formatting in drug information databases

Objective:

The research evaluated the differences in formatting of adverse drug reaction (ADR) information in drug monographs in commonly used drug information (DI) databases.

Methods:

A cross-sectional analysis of formatting of ADR information for twenty commonly prescribed oral medications in seven commonly used DI databases was performed. Databases were assessed for presentation of ADR information, including presence of placebo comparisons, severity of ADR, onset of ADR, formatting of ADRs in percentile (quantitative) format or qualitative format, whether references were used to cite information, whether ADRs are grouped by organ system, and word count of the ADR section. Data were collected by two study investigators and discrepancies were resolved via consensus. Chi-square analyses and one-way analysis of variance (ANOVA) were used to evaluate for mean group differences in categorical and continuous data, respectively.

Results:

The seven DI databases varied significantly on each analyzed ADR variable, including variables known to impact interpretation such as placebo comparisons and qualitative versus quantitative formatting. Placebo comparisons were most common among monographs in Micromedex In-Depth Answers (70%) but were absent among monographs in Epocrates, Lexicomp, and Micromedex. Quantitative information was commonly used in most databases but was absent in Epocrates. Average word counts were higher in Clinical Pharmacology and Micromedex In-Depth answers compared to other databases.

Conclusion:

Substantial variation in ADR formatting exists between the most common DI databases. These differences may translate into alternative interpretations of medical information and, thus, impact clinical judgment. Further studies are needed to assess whether these differences impact clinical practice.

Methodological issues in research on drug-related admissions: A meta-epidemiological review with focus on causality assessments

AIM

To investigate methodological aspects potentially related to the diverging scientific literature on the prevalence of drug-related hospitalisations, focusing on causality assessments.

METHODS

Original studies contributing data to a recent meta-analysis were reviewed. Methodological aspects, in particular those related to causality assessments, were extracted and compiled.

RESULTS

Thirteen studies provided data on the prevalence of drug-related admissions. Seven studies focused on adverse drug reactions (prevalences 1.3-10%), and six studies used the broader concept of drug-related problems (prevalences 4.5-41%). In 10 out of 13 studies, causality between the drug and the specified problem was assessed. One study required a probable causal relationship; the remaining studies merely required a possible causal relationship. Five studies assessed the association between the problem assumed to be related to drug therapy and the admission, at one end requiring the former to be demonstrated as the underlying cause and, at the other, merely requiring a temporal relationship between drug intake and admission. Three out of eight studies involving multiple assessors for all/some cases reported the inter-rater agreement, ranging from none to almost perfect. Physicians were involved in the assessments in five studies, reporting prevalences of 3.2% to 4.5%, while studies without such medical input reported prevalences of 8.8% to 41%.

CONCLUSIONS

This review illustrates that methodological issues contribute to the diverse literature on drug-related admissions. We provide suggestions for harmonisation of research, including explicitly assessing the drug-problem-admission relationships from a medical perspective, focusing on problems where the drug treatment is the probable culprit.

Celecoxib-induced drug fever: A rare case report and literature review

WHAT IS KNOWN AND OBJECTIVE

Drug fever is frequently misdiagnosed, especially during concurrent infection. Celecoxib causes various adverse effects; however, celecoxib-induced drug fever is rarely reported.

CASE SUMMARY

A 32-year-old man presented with pyrexia after 17 days of celecoxib therapy, which was reintroduced following 3-day total drug cessation. His fever recurred after this unsuspected rechallenge, which aided in the ultimate identification of the offending drug. A Naranjo Score of 8 led us to infer that drug fever was "probably" caused by celecoxib.

WHAT IS NEW AND CONCLUSION

This is the first report of celecoxib-induced drug fever, aimed at assisting its diagnosis, particularly with rarely suspected causative drugs.

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.

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.

Causality assessment between reported fatal cerebral haemorrhage and suspected drugs: developing a new algorithm based on the analysis of the Japanese Adverse Event Report (JADER) database and literature review

PURPOSE

Cerebral haemorrhage is a life-threatening event with various causes including adverse drug reactions (ADRs). Several methods have been proposed for the causality assessment of ADRs, but none specific for cerebral haemorrhage. The purpose of this study was to develop an algorithm for causality assessment between drugs and fatal cerebral haemorrhage, based on the analysis of data from the Japanese Adverse Drug Event Report (JADER) database and literature review.

METHODS

All fatal ADRs reported in the JADER database between April 2004 and March 2020 were searched, and literature on drug-related cerebral haemorrhage or general causality assessment was reviewed to summarise the information on causality between cerebral haemorrhage and ADRs.

RESULTS

Of the 50,095 cases identified in the JADER database, cerebral haemorrhage was the fifth most reported cause of fatal ADRs, but the causality of >80% of the events was published as 'Unassessable'. The literature review identified articles on drug-related cerebral haemorrhage and causality assessment methods in general. Based on these articles, information on five categories (temporal relationship, previous knowledge about the relationship between drug action and ADRs, alternative aetiological candidate, appropriateness of drug use, and the relationship between death and ADRs) was determined for causality assessment between a suspected drug and fatal cerebral haemorrhage; a new algorithm was created using this information.

CONCLUSION

In this study, the information considered necessary for causality assessment between drugs and fatal cerebral haemorrhage was reviewed and an assessment algorithm was developed. Future studies are needed to validate the usefulness of this method.

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.

Clinical significance of potential drug-drug interactions in a pediatric intensive care unit: A single-center retrospective study

Despite the high prevalence of potential drug-drug interactions in pediatric intensive care units, their clinical relevance and significance are unclear. We assessed the characteristics and risk factors of clinically relevant potential drug-drug interactions to facilitate their efficient monitoring in pediatric intensive care units. This retrospective cohort study reviewed the medical records of 159 patients aged <19 years who were hospitalized in the pediatric intensive care unit at Seoul National University Hospital (Seoul, Korea) for ≥3 days between August 2019 and February 2020. Potential drug-drug interactions were screened using the Micromedex Drug-Reax® system. Clinical relevance of each potential drug-drug interaction was reported with official terminology, magnitude of severity, and causality, and the association with the patient's clinical characteristics was assessed. In total, 115 patients (72.3%) were exposed to 592 potential interactions of 258 drug pairs. In 16 patients (10.1%), 22 clinically relevant potential drug-drug interactions were identified for 19 drug pairs. Approximately 70% of the clinically relevant potential drug-drug interactions had a severity grade of ≥3. Exposure to potential drug-drug interactions was significantly associated with an increase in the number of administrated medications (6-7 medications, p = 0.006; ≥8, p<0.001) and prolonged hospital stays (1-2 weeks, p = 0.035; ≥2, p = 0.049). Moreover, clinically relevant potential drug-drug interactions were significantly associated with ≥8 prescribed drugs (p = 0.019), hospitalization for ≥2 weeks (p = 0.048), and ≥4 complex chronic conditions (p = 0.015). Most potential drug-drug interactions do not cause clinically relevant adverse outcomes in pediatric intensive care units. However, because the reactions that patients experience from clinically relevant potential drug-drug interactions are often very severe, there is a medical need to implement an appropriate monitoring system for potential drug-drug interactions according to the pediatric intensive care unit characteristics.

Adverse drug reactions in patients with COVID-19 in Brazil: analysis of spontaneous notifications of the Brazilian pharmacovigilance system

In March 2020, the World Health Organization announced the new COVID-19 pandemic, which represented a challenge for health services and professionals. An effective treatment against this disease has not yet been developed; as such, several drugs are used without evidence of efficacy, which in some cases may lead to unwanted events. This is a cross-sectional study with the objective of evaluating adverse drug reactions (ADRs) in patients with COVID-19, identified between March 1 and August 15, 2020, in Brazil, as well as assessing the factors associated with the emergence of severe reactions. To compare the proportions of samples related to the notifier, patient, drugs and adverse events, we used Fisher's chi-square and exact nonparametric tests; and to compare the means of the data with normal distribution, we used the Student's t-test and Mann-Whitney's test. A multivariate logistic regression analysis was also performed, estimating the crude and adjusted odds ratio (OR) by the Stata software, version 10.0. A total of 631 ADRs were identified in 402 patients. The main drugs were hydroxychloroquine (59.5%), azithromycin (9.8%) and chloroquine (5.2%). The reactions manifested primarily in the cardiac system (38.8%), gastrointestinal system (14.4%), skin tissue (12.2%) and hepatic system (8.9%). Chloroquine (OR = 5.4; 95%CI: 1.9-15.6) and hydroxychloroquine (OR = 2.1; 95CI%: 1.2-3.6) were the only drugs associated with severe ADR. Our findings provide support for better practices in pharmacovigilance, contributing to effective and secure regulatory decision-making by the Brazilian Health Regulatory Agency, patients and society as a whole.

Daptomycin-Induced Hyperkalemia as an Early Sign of Rhabdomyolysis in a Diabetic Patient

Daptomycin is a lipopeptide antibiotic that is active against vancomycin-resistant enterococci (VRE) and methicillin-resistant Staphylococcus aureus (MRSA). It is less nephrotoxic than vancomycin. It has a unique bactericidal mechanism through destruction of bacterial membrane potential. However, one of the most clinically relevant adverse effects of daptomycin is reversible myopathy, especially when daptomycin is used in high doses. Here, we present a case of a patient with rhabdomyolysis preceded by hyperkalemia associated with daptomycin use. Soon after daptomycin administration, hyperkalemia was noticed before the acute rise in creatinine phosphokinase (CPK). The serum levels of potassium and CPK returned to normal after daptomycin was stopped which suggested the causal relationship between hyperkalemia and myopathy and daptomycin use. To our knowledge, this is the second case of hyperkalemia related to daptomycin use.

Incidence of Adverse Drug Reactions in COVID-19 Patients in China: An Active Monitoring Study by Hospital Pharmacovigilance System

To evaluate the incidence, type, and risk factors associated with adverse drug reactions (ADRs) among patients with coronavirus disease 2019 (COVID-19) by Hospital Pharmacovigilance System (CHPS). A retrospective analysis was performed on 217 patients with COVID-19 admitted to the First Hospital of Changsha in China, from January 17, 2020, to February 29, 2020. The active monitoring model in CHPS was used to detect ADR signals of the hospital information system. The risk factors for the ADRs were classified using the World Health Organization-Uppsala Monitoring Centre (WHO-UMC) system. Univariate and multivariate logistic regressions were carried out to analyze the risk factors of ADRs. Our results showed that the prevalence of ADRs was 37.8% in the patients, which was predominated by drug-induced gastrointestinal disorders and liver system disorders (23.0% vs. 13.8%). The ADR could be explained by the use of lopinavir/ ritonavir and umifenovir by 63.8% and 18.1%, respectively. There were 96.8% of ADRs that occurred within 14 days of hospitalization. Multivariable analysis showed that length of stay (odds ratio (OR): 2.02; 95% confidence interval (CI) 1.03-3.96; P = 0.04), number of drugs used in the hospital (OR: 3.17; 95% CI 1.60-6.27; P = 0.001) and underlying basic diseases (OR: 2.07; 95% CI 1.02-4.23; P = 0.04) were independent risk factor for ADRs in the patients. Together, the incidence of ADRs was significantly high during the treatment period. Moreover, the active monitoring of the CHPS system reflected ADRs during COVID-19 treatment in the real world, which provided reference for safe medication in the clinic.

[Recommendations for Drug Treatment in Patients with Multimorbidity]

Applying guidelines in patients with multimorbidity can result in dangerous or contraindicated drug-drug and drug-disease-interactions. A representative working group of medical scientific associations identifies such therapeutic conflicts and develops management strategies that will be published as a formally consensus based (S2K) guideline. Rational, aims and methods used are described, as well as evaluation and updating of recommendations.

Adverse drug event presentation and tracking (ADEPT): semiautomated, high throughput pharmacovigilance using real-world data

Objective

To advance use of real-world data (RWD) for pharmacovigilance, we sought to integrate a high-sensitivity natural language processing (NLP) pipeline for detecting potential adverse drug events (ADEs) with easily interpretable output for high-efficiency human review and adjudication of true ADEs.

Materials and methods

The adverse drug event presentation and tracking (ADEPT) system employs an open source NLP pipeline to identify in clinical notes mentions of medications and signs and symptoms potentially indicative of ADEs. ADEPT presents the output to human reviewers by highlighting these drug-event pairs within the context of the clinical note. To measure incidence of seizures associated with sildenafil, we applied ADEPT to 149 029 notes for 982 patients with pediatric pulmonary hypertension.

Results

Of 416 patients identified as taking sildenafil, NLP found 72 [17%, 95% confidence interval (CI) 14–21] with seizures as a potential ADE. Upon human review and adjudication, only 4 (0.96%, 95% CI 0.37–2.4) patients with seizures were determined to have true ADEs. Reviewers using ADEPT required a median of 89 s (interquartile range 57–142 s) per patient to review potential ADEs.

Discussion

ADEPT combines high throughput NLP to increase sensitivity of ADE detection and human review, to increase specificity by differentiating true ADEs from signs and symptoms related to comorbidities, effects of other medications, or other confounders.

Conclusion

ADEPT is a promising tool for creating gold standard, patient-level labels for advancing NLP-based pharmacovigilance. ADEPT is a potentially time savings platform for computer-assisted pharmacovigilance based on RWD.

Ertapenem-induced encephalopathy

Neurotoxicity is an unusual side effect of carbapenems, and it has been reported most commonly presenting as seizures, encephalopathy and hallucinations. Ertapenem neurotoxicity most classically presents as seizures in patients with end-stage renal disease (estimated glomerular filtration rate (eGFR) <30 mL/min/1.73 m2). We present a patient with a baseline eGFR of 30–59 mL/min/1.73 m2 with acute kidney injury who developed non-seizure neurotoxicity after ertapenem exposure. This patient is a middle-aged Caucasian man who received intravenous ertapenem for treatment of empyema. Although the empyema improved, he developed delirium beginning on day 7 of ertapenem. The delirium progressed to constant agitation and visual hallucinations requiring transfer to the intensive care unit with eventual intubation for airway protection. No improvement in mental status was observed with cessation of other medications. Ertapenem was discontinued and within 24 hours, he was extubated, and his mental status returned to baseline. He was discharged from the hospital the following day. The timely resolution after ertapenem discontinuation makes ertapenem-induced encephalopathy the most likely explanation for this patient’s course.

Descriptive study of adverse drug reactions in a tertiary care pediatric hospital in México from 2014 to 2017

INTRODUCTION

In Pediatrics, adverse drug reactions (ADRs) affect morbidity and mortality. In Mexico, the characteristics of ADRs and suspect drugs have not been described in hospitalized children.

OBJECTIVE

To estimate the frequency of ADRs and describe them, as well as suspect drugs, in a tertiary care pediatric hospital in Mexico.

METHODS

A total of 1,649 Hospital Infantil de Mexico Federico Gómez ADR reports were analyzed. Completeness of the information was assessed, and ADRs severity and seriousness were assigned based on NOM-220-SSA1-2012, with causality being established according to the Naranjo algorithm. ADRs were classified with WHO Adverse Drug Reaction Terminology (WHO-ART). The drugs involved in ADRs were categorized according to the Anatomical Therapeutic Chemical (ATC) classification. Descriptive analysis was performed using the SPSS 20 statistical package.

RESULTS

Of all the reports, 5.8% lacked sufficient information for the analysis (grade 0). ADRs frequency ranged from 2.12% to 8.07%. ADRs occurred most commonly in children (56.9%), in the female gender (52%), in subjects with normal BMI Z-score (46.6%) and malnutrition (35.3%), diagnosed with neoplasms (72.2%) and in the Emergency Department (70.0%). ADRs were severe in 14.4% of cases, in 81.0% they were serious and 2.1% were classified as definite. Most common serious ADR was febrile neutropenia (44.5%). The 0.7% of patients recovering with sequelae; 1.1% died (with the medication being associated) and 70.3% were admitted to the hospital as a result of an ADR. Antineoplastic and immunomodulating agents were more commonly associated with serious ADRs.

CONCLUSION

ADRs affected morbidity and mortality, which is why strengthening pharmacovigilance programs in Mexican pediatric hospitals is necessary.

Adverse drug reactions in drug information databases: does presentation affect interpretation?

Objective

Formatting of adverse drug reaction (ADR) information differs among drug information (DI) resources and may impact clinical decision-making. The objective of this study was to determine whether ADR formatting impacts adverse event interpretation by pharmacy practitioners and students.

Methods

Participants were randomized to receive ADR information in a comparative quantitative (CQUANT), noncomparative quantitative (NQUANT), or noncomparative qualitative (NQUAL) format to interpret 3 clinical vignettes. Vignettes involved patients presenting with adverse events that varied in the extent to which they were associated with a medication. The primary outcome was interpretation of the likelihood of medication-induced adverse events on a 10-point Likert scale. Lower scoring on likelihood (i.e., ADR deemed unlikely) reflected more appropriate interpretation. Linear regression was performed to analyze the effects of ADR information format on the primary outcome.

Results

A total of 108 participants completed the study (39 students and 69 pharmacists). Overall, the CQUANT group had the lowest average likelihood compared to NQUAL (4.0 versus 5.4; p<0.01) and NQUANT (4.0 versus 4.9; p=0.016) groups. There was no difference between NQUAL and NQUANT groups (5.4 versus 4.9; p=0.14). In the final model, at least 2 years of postgraduate training (-1.1; 95% CI: -1.8 to -0.3; p<0.01) and CQUANT formatting (-1.3; 95% CI: -0.9 to -1.7; p<0.01) were associated with reduced likelihood.

Conclusions

Formatting impacts pharmacists' and pharmacy students' interpretation of ADR information. CQUANT formatting and at least two years of postgraduate training improved interpretation of adverse events.

A Diabetic Patient Complicated With Pancreatic Cancer After Using Liraglutide: A Case Report

BACKGROUND

Diabetes and cancer are both multifactorial diseases, and epidemiologic evidence indicates that diabetes may be associated with the incidence of certain types of cancer. In diabetes the risk of pancreatic cancer is increased significantly. However, whether certain diabetes treatment being related with the risk of pancreatic cancer remains unclear. In this report, we presented a case of pancreatic ductal adenocarcinoma in a diabetic patient in China after being treated with liraglutide, a novel glucagon-like peptide-1 (GLP-1) analog.

CASE REPORT

A 71-year-old Han Chinese man who had had a type 2 diabetes for 25 years presented at the endocrinology department with discomfort in the left upper quadrant of abdomen for 10 days. The patient's vital signs and laboratory findings were unremarkable except for the elevated level of carbohydrate antigen (CA19-9). The upper abdomen routine enhanced computed tomography (CT) scan showed low density of the pancreatic body and tail, and the histopathological result of the pancreatic biopsy samples was pancreatic ductal adenocarcinoma with regional lymph node metastasis. We reviewed his former medical records and found that liraglutide was added to his hypoglycemic treatment regimen 20 months ago. At that time, the level of tumor biomarkers and upper abdomen routine CT were unremarkable. We estimated the causality between liraglutide and pancreatic cancer by the Naranjo Adverse Drug Reaction Probability scale and WHO-Uppsala Monitoring Centre (WHO-UMC) system, and the causality turned out to be possible.

CONCLUSION

Our report suggests that liraglutide may be related with the genesis and development of pancreatic cancer and also highlights the importance of regular checkups in diabetic patients treated with liraglutide. However, our report has some notable limitations, and further longer-term follow-up trials with larger sample should be conducted in future to assess the causality between liraglutide and pancreatic cancer.

Pharmacovigilance - The next chapter

The discovery and quantification of adverse drug reactions has long relied on the careful analysis of spontaneously reported cases. Causality assessment (imputation) was a fundamental feature of individual case report analysis. This was complemented by analysis of aggregated cases, and of disproportionality analyses in spontaneous reports databases. In the absence of more specific information sources, these have resulted in the discovery of many new adverse reactions, altering drug information. It has led to the withdrawal from the market of many drugs, but its use for risk quantification remains fraught with uncertainty. The recent access to population-wide claims or electronic health records databases have confirmed for spontaneous reporting a predominant role in hypothesis generation for serious adverse drug reactions, notably those that result in hospital admission or death. In these cases, the events are identifiable at the population level, and can be quantified precisely using the tools of modern pharmacoepidemiology, to generate specific benefit-risk analyses. Spontaneous reporting remains irreplaceable in signal and alert generation in drug safety, despite its inherent limitations. For signal strengthening and assessment, more systematic and quantitative methods should be sought, such as claims databases for reactions resulting in hospital admissions.

The myth of school shooters and psychotropic medications

There has been an assertion in certain parts of the media, especially social media, that the majority of individuals who have engaged in a school shooting were prescribed psychotropic medications prior to the event. To determine if there is any validity to this assertion, the authors of this article reviewed publicly available information regarding individuals involved in "educational shootings" per FBI publications for active shooters from 2000 to 2017. Sources of information included news reports with official citations, official reports regarding events, available court records, and FBI Freedom of Information Act requests. Secondary data-points were also collected, such as location, number of weapons used, number of victims, legal outcome, and whether the shooter committed suicide. From the information obtained, it appears that most school shooters were not previously treated with psychotropic medications - and even when they were, no direct or causal association was found.

Incidence of antiretroviral drug-related problems in the treatment of HIV among hospitalized patients in the Hospital Santa Clara, Bogotá

Introduction: The antiretroviral therapy for the treatment of the human immunodeficiency virus (HIV) is a therapeutic strategy linked to drug-related problems that cause or can cause the appearance of negative results associated with the medication. It is important, therefore, to identify their incidence, characterize them, and classify them to design strategies to minimize their impact. Objective: To estimate the overall incidence and the incidence of each one of the antiretroviral drugs-related problems in the treatment of the HIV infection in a cohort of hospitalized patients in Bogotá, Colombia. Materials and methods: We conducted a descriptive, retrospective cohort study in patients aged 18 years or more diagnosed with HIV infection and under antiretroviral treatment hospitalized between January 1st, 2015, and December 31st, 2016, in the Hospital Santa Clara, Bogotá. Results: The overall incidence of antiretroviral drug-related problems was 0.90 (95% CI: 0.85-0.93). The incidence of drug-drug interactions was 0.85 (95% CI: 0.80-0.90), 0.28 (95% CI: 0.22-0.35) for adverse reactions, and 0.12 (CI 95%: 0.08-0.17) for prescription errors. Conclusion: Drug-related problems should be studied, diagnosed, prevented, and treated. Their knowledge can enable health care professionals to anticipate their emergence, reduce their incidence, implement risk management plans, and optimize adherence to antiretroviral treatment.

Minimal change disease induced by tiopronin: a rare case report and a review of the literature

Tiopronin (TP), a glycine derivative with a free thiol, is extensively used for the treatment of cystinuria. Moreover, TP is usually prescribed as hepatoprotective medicine in China. In the present case, a 36-year-old female who presented with foamy urine and general edema was admitted to the hospital. She had been taking TP for six months to treat drug-induced liver injury due to anti-tuberculosis drugs including isoniazid, rifampicin and pyrazinamide. The urine tests at admission revealed nephritic-range proteinuria with a daily urinary protein level of 8,024 mg. Meanwhile, albumin and cholesterol levels were abnormal. The light microscopy was negative and electron microscopy showed foot process effacement. Thus, minimal change disease (MCD) was diagnosed, and TP was consequently discontinued. Finally, the patient accomplished complete remission within five weeks after the cessation of TP without undergoing glucocorticoid therapy. TP was speculated to play an antigenic role in this adverse effect. To date, there are only two similar cases documented in the literature. Herein, we first report a case of a Chinese patient who generated MCD after prolonged TP administration. Clinicians should be wary of the occurrence of MCD due to TP when administering long-term therapy of TP. A weekly urinalysis may be useful for early identification of TP-induced MCD.