Trends and patterns of antidepressant use in children and adolescents from five western countries, 2005-2012

Following the FDA black box warning in 2004, substantial reductions in antidepressant (ATD) use were observed within 2 years in children and adolescents in several countries. However, whether these reductions were sustained is not known. The objective of this study was to assess more recent trends in ATD use in youth (0-19 years) for the calendar years 2005/6-2012 using data extracted from regional or national databases of Denmark, Germany, the Netherlands, the United Kingdom (UK), and the United States (US). In a repeated cross-sectional design, the annual prevalence of ATD use was calculated and stratified by age, sex, and according to subclass and specific drug. Across the years, the prevalence of ATD use increased from 1.3% to 1.6% in the US data (+26.1%); 0.7% to 1.1% in the UK data (+54.4%); 0.6% to 1.0% in Denmark data (+60.5%); 0.5% to 0.6% in the Netherlands data (+17.6%); and 0.3% to 0.5% in Germany data (+49.2%). The relative growth was greatest for 15-19 year olds in Denmark, Germany and UK cohorts, and for 10-14 year olds in Netherlands and US cohorts. While SSRIs were the most commonly used ATDs, particularly in Denmark (81.8% of all ATDs), Germany and the UK still displayed notable proportions of tricyclic antidepressant use (23.0% and 19.5%, respectively). Despite the sudden decline in ATD use in the wake of government warnings, this trend did not persist, and by contrast, in recent years, ATD use in children and adolescents has increased substantially in youth cohorts from five Western countries.

New and incremental FDA black box warnings from 2008 to 2015

BACKGROUND

The boxed warning (also known as 'black box warning [BBW]') is one of the strongest drug safety actions that the U.S. Food & Drug Administration (FDA) can implement, and often warns of serious risks. The objective of this study was to comprehensively characterize BBWs issued for drugs after FDA approval.

METHODS

We identified all post-marketing BBWs from January 2008 through June 2015 listed on FDA's MedWatch and Drug Safety Communications websites. We used each drug's prescribing information to classify its BBW as new, major update to a preexisting BBW, or minor update. We then characterized these BBWs with respect to pre-specified BBW-specific and drug-specific features.

RESULTS

There were 111 BBWs issued to drugs on the US market, of which 29% (n = 32) were new BBWs, 32% (n = 35) were major updates, and 40% (n = 44) were minor updates. New BBWs and major updates were most commonly issued for death (51%) and cardiovascular risk (27%). The new BBWs and major updates impacted 200 drug formulations over the study period, of which 64% were expected to be used chronically and 58% had available alternatives without a BBW.

CONCLUSIONS

New BBWs and incremental updates to existing BBWs are frequently added to drug labels after regulatory approval.

Acting on black box warnings requires a GRADE evidence table and an implementation guide: the case of teriparatide

OBJECTIVES

To assess how well do the black box warnings present and communicate evidence in a way that is consistent with evidence-based patient-centered practice, through evaluating the boxed warning on teriparatide-induced osteosarcoma.

STUDY DESIGN AND SETTING

We critically appraised teriparatide black box warning for osteosarcoma by reviewing human and animal studies that were used as basis for the warning. We also evaluated the quality of the evidence using the Grading of Recommendations Assessment, Development and Evaluation framework.

RESULTS

We found that this warning was based on very low-quality evidence that was derived primarily from animal studies. The quality of evidence was rated down because of high risk of bias in addition to inconsistency, indirectness, and imprecision of the estimates. The warning does not provide sufficient guidance for practice like an implementation tool or an evidence profile to clarify the limitations of the evidence.

CONCLUSION

Black box warning for teriparatide-associated osteosarcoma does not explicitly present the quality of evidence, and therefore, it could be of limited use in evidence-based practice. We propose that black box warnings should include an evidence profile and an implementation guide to be more useful in evidence-based patient-centered practice.

Antidepressant Regulatory Warnings, Prescription Patterns, Suicidality and Other Aggressive Behaviors in Major Depressive Disorder and Anxiety Disorders

In 2004 the Food and Drug Administration issued a warning on the risk of suicidality in children and adolescents receiving antidepressants. This was followed by reports of changes in antidepressant prescription patterns, suicidality and other aggressive behaviors, but debate is continuing regarding the nature and magnitude of these changes. We examined a large physician database for impact of the warning on antidepressant prescriptions, suicidality and other aggressive behaviors in major depressive disorder (MDD) and anxiety disorders in adult and pediatric patients. We analyzed electronic database covering over 100,000 patients, treated in Pre- (before 2003) and Post- (after 2004) warning periods. We compared strength of the association between the measures and the time period with two tests. Multivariate logistic regression analyses were performed to ascertain the unique effect of each parameter. Of 10,089 MDD (61.0 %) and anxiety disorders (39.0 %) patients, 65.2 % received antidepressant prescription and 16.1 % were pediatric patients. In post-warning period, there was a greater reduction in adult versus pediatric antidepressant prescription rates. Logistic modeling showed greater likelihood of antidepressant prescription in MDD as compared with anxiety disorders in post-warning period. Pediatric patients were more likely than adults to receive fluoxetine during the post-warning period. There was an overall reduction in suicidality and other aggressive behaviors in the post-warning period. Regulatory warnings may have had an impact on antidepressant benefit/risk assessment and consequent utilization, therapeutic effects, and adverse events. Our observations suggest that psychiatrists may heed regulatory warnings, but may also exert professional independence and discrimination in their application.

Lack of relationship between plasma levels of escitalopram and QTc-interval length

Despite safety concerns raised by the European Medicines Agency (EMA), evidence supporting QT-lengthening effects of escitalopram is far to be conclusive. We aimed to evaluate the relationship between escitalopram plasma levels (Escit-PL) and corrected QT-interval length (QTc-length) in 91 outpatients recruited from a hospital setting. Fifteen patients had an abnormally prolonged QTc-interval, and 3 had QTc-intervals ≥500 ms. No correlation between Escit-PL and QTc-length was found (r = 0.08; p = 0.45). Linear/logistic regression analyses were also conducted taking into account potential confounders such as age, gender, personal history of heart disease, medication load and concomitant use of antipsychotic/tricyclic antidepressants. Escit-PL did not predict either QTc-length or abnormally prolonged QTc-interval. Only antipsychotics/tricyclics use (adjusted β = 0.26, SE = 9.1; p = 0.01) was an independent predictor of QTc-length (R ² = 0.096, F = 4.68, df = 2,88; p = 0.01). Only antipsychotics/tricyclics use (OR 3.56 [95% CI 1.01-12.52]; p < 0.05) and medication load (OR 1.32 [95% CI 1.06-1.64]; p < 0.01) were significantly associated with an increased risk of abnormally prolonged QTc-interval (Omnibus test χ ² = 9.5, df = 2; p < 0.01). Our study did not find a significant relationship between Escit-PL and QTc-length even when recognized modulating factors of the QT-interval were controlled for. Concomitant use of other potentially arrhythmogenic agents may help to explain the apparent link between escitalopram and QT prolongation previously suggested. The advisability of maintaining the EMA warning is once again called into question.

Boxed Warnings and Off-Label Use of Allergy Medications: Risks, Benefits, and Shared Decision Making

The Food and Drug Administration is tasked with evaluating the efficacy and safety of a drug. Despite having a regimented appraisal process in place, safety evidence can emerge during clinical trials as well as from observations and studies conducted after the drug has been on the market, which might require a boxed warning. The boxed warning is the most severe warning that the Food and Drug Administration can give to an approved drug. It is commonly referred to as a Black Box Warning because it is outlined in the package insert by a thick black box to garner the attention of prescribers and patients. There are currently more than 400 medications that have boxed warnings, and the information addressing major risks associated with a particular drug may, appropriately or inappropriately, influence patient and clinician decision making. Health care professionals must use the best evidence and clinical judgment in determining whether to prescribe medications with these warnings. Use of an approved drug at dosages or for indications other than what it was originally licensed for is referred to as "off-label" and is legal, commonplace, and may be evidence-based. All drugs may expose patients to possible harm, so prescribers have an obligation to discuss the best available evidence regarding benefits and harms so that patients can participate in shared decision making.

Considerations on nonclinical approaches to modeling risk factors of suicidal ideation and behavior

Given the serious nature of suicidal ideation and behavior (SIB) and the possibility of treatment-emergent SIB, pharmaceutical companies are now applying more proactive approaches in clinical trials and are considering the value of nonclinical models to predict SIB. The current review summarizes nonclinical approaches to modeling three common risk factors associated with SIB: aggression, impulsivity, and anhedonia. For each risk factor, a general description, advantages and disadvantages, species considerations, nonclinical to clinical translation, and pharmacological validation with respect to treatments associated with SIB are summarized. From this review, several gaps were identified that need to be addressed before use of these nonclinical models can be considered a viable option to predict the relative risk for SIB. Other future directions that may compliment these nonclinical approaches, including the use of selectively-bred or genetically-modified rodent models, transgenic models, gene expression profiling, and biomarker analysis, are discussed. This article was developed with the support of the DruSafe Leadership Group of the International Consortium for Innovation and Quality in Pharmaceutical Development (IQ, www.iqconsortium.org).

Implementing Black Box Warnings (BBWs) in Health Information Systems: An Organizing Taxonomy Identifying Opportunities and Challenges

OBJECTIVE

To develop a practical approach for implementing clinical decision support (CDS) for medication black box warnings (BBWs) into health information systems (HIS).

METHODS

We reviewed all existing medication BBWs and organized them into a taxonomy that identifies opportunities and challenges for implementing CDS for BBWs into HIS.

RESULTS

Of the over 400 BBWs that currently exist, they can be organized into 4 categories with 9 sub-categories based on the types of information contained in the BBWs, who should be notified, and potential actions to that could be taken by the person receiving the BBW. Informatics oriented categories and sub-categories of BBWs include - interactions (13%) (drug-drug (4%) and drug-diagnosis (9%)), testing (21%) (baseline (9%) and on-going (12%)), notifications (29%) (drug prescribers (7%), drug dispensers (2%), drug administrators (9%), patients (10%), and third parties (1%)), and non-actionable (37%). This categorization helps identify BBWs for which CDS can be easily implemented into HIS today (such as drug-drug interaction BBWs), those that cannot be easily implemented into HIS today (such as non-actionable BBWs), and those where advanced and/or integrated HIS need to be in place to implement CDS for BBWs (such a drug dispensers BBWs).

CONCLUSIONS

HIS have the potential to improve patient safety by implementing CDS for BBWs. A key to building CDS for BBWs into HIS is developing a taxonomy to serve as an organizing roadmap for implementation. The informatics oriented BBWs taxonomy presented here identified types of BBWs in which CDS can be implemented easily into HIS currently (a minority of the BBWs) and those types of BBWs where CDS cannot be easily implemented today (a majority of BBWs).

Prediction of black box warning by mining patterns of Convergent Focus Shift in clinical trial study populations using linked public data

OBJECTIVE

To link public data resources for predicting post-marketing drug safety label changes by analyzing the Convergent Focus Shift patterns among drug testing trials.

METHODS

We identified 256 top-selling prescription drugs between 2003 and 2013 and divided them into 83 BBW drugs (drugs with at least one black box warning label) and 173 ROBUST drugs (drugs without any black box warning label) based on their FDA black box warning (BBW) records. We retrieved 7499 clinical trials that each had at least one of these drugs for intervention from the ClinicalTrials.gov. We stratified all the trials by pre-marketing or post-marketing status, study phase, and study start date. For each trial, we retrieved drug and disease concepts from clinical trial summaries to model its study population using medParser and SNOMED-CT. Convergent Focus Shift (CFS) pattern was calculated and used to assess the temporal changes in study populations from pre-marketing to post-marketing trials for each drug. Then we selected 68 candidate drugs, 18 with BBW warning and 50 without, that each had at least nine pre-marketing trials and nine post-marketing trials for predictive modeling. A random forest predictive model was developed to predict BBW acquisition incidents based on CFS patterns among these drugs. Pre- and post-marketing trials of BBW and ROBUST drugs were compared to look for their differences in CFS patterns.

RESULTS

Among the 18 BBW drugs, we consistently observed that the post-marketing trials focused more on recruiting patients with medical conditions previously unconsidered in the pre-marketing trials. In contrast, among the 50 ROBUST drugs, the post-marketing trials involved a variety of medications for testing their associations with target intervention(s). We found it feasible to predict BBW acquisitions using different CFS patterns between the two groups of drugs. Our random forest predictor achieved an AUC of 0.77. We also demonstrated the feasibility of the predictor for identifying long-term BBW acquisition events without compromising prediction accuracy.

CONCLUSIONS

This study contributes a method for post-marketing pharmacovigilance using Convergent Focus Shift (CFS) patterns in clinical trial study populations mined from linked public data resources. These signals are otherwise unavailable from individual data resources. We demonstrated the added value of linked public data and the feasibility of integrating ClinicalTrials.gov summaries and drug safety labels for post-marketing surveillance. Future research is needed to ensure better accessibility and linkage of heterogeneous drug safety data for efficient pharmacovigilance.

Retrospective analysis of adverse events associated with non-stimulant ADHD medications reported to the united states food and drug administration

Attention deficit hyperactivity disorder (ADHD) is one of the most common neurobehavioral disorders in children and although stimulant medications remain first line to treat the disorder, some families prefer nonstimulants. The goal is to analyze the adverse events (AE) associated with nonstimulant medications using post-marketing drug surveillance data. We aim to increase awareness and aide patient education. A retrospective study of adverse drug events with atomoxetine, clonidine, and guanfacine was performed using the Federal Drug Administration Adverse Event Reporting System (FAERS) Database. Results show that the most commonly reported AEs, as defined by FAERS, were ineffectiveness (9.91-14.15%) fatigue (8.93%), and somnolence (8.8-10.16%). Of those taking atomoxetine, suicidal and self-injurious ideation was reported to a similar degree amongst all age groups. Suicidal ideation was listed within the top 20 most reported AEs for all three medications. It is more likely that some patients will experience milder side effects. We suggest providing these data to patients to help overcome the stigma of starting medication, especially if they prefer nonstimulants. Serious AEs are still reported to a small degree, thus monitoring and consistent patient education remains important. We also recommend educating a wider demographic of patients about recognizing potential development of suicidal thoughts.

An audit of Black Box Warnings (BBWs) in the United States Food and Drug Administration (US-FDA) database - a five-year analysis

BACKGROUND

The black-box warning (BBW) is the most serious warning that US-FDA can ask for on a drug's labelling. BBWs represent key safety concerns uncovered either during dossier review or post-approval. We have conducted the present study with the primary objective of assessing BBWs issued by the US-FDA.

METHODS

BBW's were identified on US-FDA's website from 1st January 2015 to 31st December 2019. Prescribing information was used to identify and characterize BBWs into new and minor/major update on a previous BBW. The therapeutic class of the drug, nature [Biological/New Molecular entity (NME)], formulation type, expected duration of use along with the year of first approval of the molecule with BBWs were evaluated.

RESULTS

A total of n = 167 BBWs were issued by FDA of which 53 (31.7%) had major updates, 57(34.1%) had minor updates and 57(34.1%) were new BBWs. A total of 137(82%) of BBWs were with NME's whereas 30(18%) were with biologics. Drugs for neurology 40(25.5%)had the highest number of BBWs followed by oncology 38(24.2%). Among type of BBWs, cardiovascular risk 31 (15%) were the highest.

CONCLUSION

Practicing physicians need to understand that benefit-risk of a drug is dynamic and keep abreast of new data related to it.

Evaluating the Impact of Black Box Warning Updates on the Reporting of Drug-Related Adverse Events: a Cross Sectional Study of the FAERS Database

BACKGROUND

The Food and Drug Administration (FDA)'s Adverse Event Reporting System (FAERS) is a post-marketing surveillance system which relies on spontaneous reports of adverse drug reactions (ADRs). Our objective was to evaluate how black box warning (BBW) updates impact ADR reporting rates.

RESEARCH DESIGN AND METHODS

We searched MEDWATCH for all BBW updates issued between January 2014 and December 2016 and categorized them as new, major, and minor. Rates of relevant ADR reports from the FAERS database in the 4 years preceding and following a BBW update were assessed among the different BBW categories.

RESULTS

Forty BBW updates were included (16 major, 3 new, and 21 minor). A meaningful increase in the proportion of relevant ADRs of all ADRs reported following BBW updates was documented for 53% of new or major updates and 24% of minor updates (p = 0.06). The median percentage of reported relevant ADRs increased by 5% following new and major BBW updates and decreased by 30% following minor BBW updates (p = 0.3).

CONCLUSIONS

Reporting of adverse events to the FAERS database is affected by the severity and timing of related BBW updates, highlighting the drawbacks of spontaneous reporting systems. Regulators should promote proactive pharmacovigilance strategies to cope with these limitations.