A continuing black hole? The FDA boxed warning: an appeal to improve its clinical utility

The Incidence of QT Prolongation and Torsades des Pointes in Patients Receiving Droperidol in an Urban Emergency Department

INTRODUCTION

Droperidol carries a boxed warning from the United States Food and Drug Administration for QT prolongation and torsades des pointes (TdP). After a six-year hiatus, droperidol again became widely available in the US in early 2019. With its return, clinicians must again make decisions regarding the boxed warning. Thus, the objective of this study was to report the incidence of QT prolongation or TdP in patients receiving droperidol in the ED.

METHODS

Patients receiving droperidol at an urban Level I trauma center from 1997-2001 were identified via electronic health record query. All patients were reviewed for cardiac arrest. We reviewed electrocardiogram (ECG) data for both critically-ill and noncritical patients and recorded Bazett's corrected QT intervals (QTc). ECGs from critically-ill patients undergoing resuscitation were further risk-stratified using the QT nomogram.

RESULTS

Of noncritical patients, 15,374 received 18,020 doses of droperidol; 2,431 had an ECG. In patients with ECGs before and after droperidol, the mean QTc was 424.3 milliseconds (ms) (95% confidence interval [CI], 419.7-428.9) before and 427.6 ms (95% CI, 424.3-430.9), after droperidol (n = 170). Regarding critically-ill patients, 1,172 received droperidol and 396 had an ECG. In the critically-ill group with ECGs before and after droperidol mean QTc was 435.7 ms (95% CI, 426.7-444.7) before and 435.8 ms (95% CI, 427.5-444.1) after droperidol (n = 114). Of 337 ECGs suitable for plotting on the QT nomogram, 13 (3.8%) were above the "at-risk" line; 3/136 (2.2%; 95% CI, 0.05-6.3%) in the before group, and 10/202 (4.9%; 95% CI, 2.4%-8.9%) in the after group. A single case of TdP occurred in a patient with multiple risk factors that did not reoccur after a droperidol rechallenge. Thus, the incidence of TdP was 1/16,546 (0.006%; 95% CI, 0.00015 - 0.03367%).

CONCLUSION

We found the incidence of QTc prolongation and TdP in ED patients receiving droperidol to be extremely rare. Our data suggest the FDA "black box warning" is overstated, and that close ECG monitoring is useful only in high-risk patients.

Evaluation of FDA Boxed Warning on Prescribing Patterns of Fluoroquinolones for Uncomplicated Urinary Tract Infections

Background: Little is known regarding the impact of the Food and Drug Administration (FDA) boxed warning on prescribing rates of fluoroquinolone (FQ) antibiotics in the outpatient setting. Objective: The primary objective of this study was to evaluate the 2016 FDA boxed warning update on FQ prescribing rates for uncomplicated urinary tract infection (uUTI). Methods: This was a single-center retrospective cohort study conducted at 6 family medicine practices, including women aged 18 to 65 years with an outpatient visit for uUTI from January 1, 2016, to December 31, 2016. Results: A total of 436 patients met inclusion. FQs were prescribed in 38% of patients before the FDA boxed warning and in 30% of patients after (8% reduction). Non-FQ prescribing had a corresponding 8% increase, comprising 62% of uUTI prescribing before the FDA boxed warning and 70% after (P = 0.08). The likelihood of being prescribed a FQ was not significantly different following release of the FDA boxed warning (adjusted odds ratio = 0.67 [95% CI = 0.41-1.10]). Variables significantly associated with an increase in FQ prescribing based on logistic regression were age ≥58 years and chronic kidney disease. Concordance of antibiotic prescribing with the Infectious Diseases Society of America clinical practice guidelines for uUTI was low, and the incidence of treatment failure was low. Conclusion and Relevance: The 2016 FDA boxed warning was not significantly associated with decreased FQ prescribing for uUTI across a large academic family medicine practice. Methods to improve education and disseminate FDA warnings in practice are needed.

Drugs and Diseases Interacting with Cigarette Smoking in US Prescription Drug Labelling

The US Food and Drug Administration (FDA) draft guidance for industry on drug interaction studies recommends, but does not mandate, that both cigarette smokers and non-smokers can be used to study drug metabolism in clinical trials, and that important results related to smoking should be included in drug labelling to guide medication usage. This study aimed to provide a comprehensive review of drugs or diseases interacting with smoking, as presented in all US drug labelling. The 62,857 drug labels deposited in the FDA Online Label Repository were searched using the keywords 'smoke', 'smoker(s)', 'smoking', 'tobacco' and 'cigarette(s)' on 19 June 2014. The resultant records were refined to include only human prescription drug labelling, for manual examination. For 188 single-active-ingredient drugs and 36 multiple-active-ingredient drugs, the labelling was found to contain smoking-related information. The pharmacokinetics of 29 and 21 single-active-ingredient drugs were affected and unaffected, respectively, by smoking. For the remaining drugs, the provided information related to smoking affecting efficacy, safety or diseases but not pharmacokinetics. Depending on the nature of specific drugs, the perturbation in pharmacokinetic parameters in smokers ranged from 13 to 500%, in comparison with non-smokers. Dosage modifications in smokers are necessary for four drugs and may be necessary for six drugs, but are unnecessary for seven drugs although the pharmacokinetic parameters of four of them are affected by smoking. Cigarette smoking is a risk factor for 16 types of diseases or adverse drug reactions. For one single-active-ingredient contraceptive drug and 10 multiple-active-ingredient contraceptive drugs, a black box warning (the FDA's strongest safety warning) is included in the labelling for increased risks of heart attacks and strokes in female smokers, and "women are strongly advised not to smoke" when using these drugs. This study presents the first comprehensive overview of cigarette smoking interacting with drugs and/or diseases, as presented in US drug labelling.

Stimulated reporting: the impact of US food and drug administration-issued alerts on the adverse event reporting system (FAERS)

Background

The US Food and Drug Administration (FDA) uses the Adverse Event Reporting System (FAERS) to support post-marketing safety surveillance programs. Currently, almost one million case reports are submitted to FAERS each year, making it a vast repository of drug safety information. Sometimes cited as a limitation of FAERS, however, is the assumption that “stimulated reporting” of adverse events (AEs) occurs in response to warnings, alerts, and label changes that are issued by the FDA.

Objective

To determine the extent of “stimulated reporting” in the modern-day FAERS database.

Methods

One hundred drugs approved by the FDA between 2001 and 2010 were included in this analysis. FDA alerts were obtained by a comprehensive search of the FDA’s MedWatch and main websites. Publicly available FAERS data were used to assess the “primary suspect” AE reporting pattern for up to four quarters before, and after, the issuance of an FDA alert.

Results

A few drugs did demonstrate “stimulated reporting” trends. A majority of the drugs, however, showed little evidence for significant reporting changes associated with the issuance of alerts. When we compared the percentage changes in reporting after an FDA alert with those after a sham “control alert”, the overall reporting trends appeared to be quite similar. Of 100 drugs analyzed for short-term reporting trends, 21 real alerts and 25 sham alerts demonstrated an increase (greater than or equal to 1 %) in reporting. The long-term analysis of 91 drugs showed that 24 real alerts and 28 sham alerts demonstrated a greater than or equal to 1 % increase.

Conclusions

Our results suggest that most of modern day FAERS reporting is not significantly affected by the issuance of FDA alerts.

Electronic supplementary material

The online version of this article (doi:10.1007/s40264-014-0225-0) contains supplementary material, which is available to authorized users.

Methadone, QTc prolongation and torsades de pointes: Current concepts, management and a hidden twist in the tale?

Methadone is a drug that has found widespread utility in the management of opioid addiction and pain. Along with its popularity, methadone has also earned an infamous reputation for causing prolongation of the QT interval and an increased risk of torsades de pointes. In this article we will give a brief overview of the long QT syndromes, followed by an in-depth look at the current pathophysiologic mechanisms of methadone induced QT prolongation, a review of the existing literature and the current concepts regarding the prevention and management of methadone induced torsades de pointes. In addition, we explore the idea and implications of a genetic link between methadone induced prolongation of the QT interval and torsades de pointes.

Using poison center exposure calls to predict methadone poisoning deaths

Purpose

There are more drug overdose deaths in the Untied States than motor vehicle fatalities. Yet the US vital statistics reporting system is of limited value because the data are delayed by four years. Poison centers report data within an hour of the event, but previous studies suggested a small proportion of poisoning deaths are reported to poison centers (PC). In an era of improved electronic surveillance capabilities, exposure calls to PCs may be an alternate indicator of trends in overdose mortality.

Methods

We used PC call counts for methadone that were reported to the Researched Abuse, Diversion and Addiction-Related Surveillance (RADARS®) System in 2006 and 2007. US death certificate data were used to identify deaths due to methadone. Linear regression was used to quantify the relationship of deaths and poison center calls.

Results

Compared to decedents, poison center callers tended to be younger, more often female, at home and less likely to require medical attention. A strong association was found with PC calls and methadone mortality (b = 0.88, se = 0.42, t = 9.5, df = 1, p<0.0001, R² = 0.77). These findings were robust to large changes in a sensitivity analysis assessing the impact of underreporting of methadone overdose deaths.

Conclusions

Our results suggest that calls to poison centers for methadone are correlated with poisoning mortality as identified on death certificates. Calls received by poison centers may be used for timely surveillance of mortality due to methadone. In the midst of the prescription opioid overdose epidemic, electronic surveillance tools that report in real-time are powerful public health tools.

Clinical toxicology and drug regulation: a United Kingdom perspective

The Medicines and Healthcare products Regulatory Authority (MHRA) is the government body with responsibility for regulating new and existing medicines and medical devices in the United Kingdom. The Yellow Card scheme is a well-established pharmacovigilance system that collects voluntary reports of adverse effects associated with therapeutic drug use. In contrast, data concerning clinical toxicological effects are more poorly characterised. No comparable surveillance processes exist in the United Kingdom or elsewhere in Europe that might allow systematic collection of clinical data and outcomes after drug overdose. Toxicological effects are normally ascertained from individual patient reports or small case series from a few specialised poisons units, so that these data are generally under-represented in post-marketing consideration of risks and benefits. Safety concerns may lead to withdrawal of the Marketing Authorisation or restricted prescribing conditions, which are conveyed to health care professionals by means of safety warnings. These may have a variable impact, and three selected examples are presented to illustrate the complex interaction between drug regulation and clinical toxicology. First, the effects of the withdrawal of rofecoxib in 2004 shows that regulatory responses may reduce the prescribing of drugs across a particular class, and this has resulted in fewer enquiries to Poisons Control Centres regarding all cyclooxygenase-2 selective inhibitors. Secondly, data concerning the impact of safety warnings about antipsychotic medications illustrate that regulatory decisions may have a variable impact due to other factors that influence prescribing, including clinical guidelines, marketing pressures, and lack of alternative safe medications. Finally, the recent withdrawal of co-proxamol serves as an example of how clinical toxicology data can inform the drug regulation process and improve safety by minimising the risk of death associated with overdose. Greater reliance on clinical toxicology data could better inform the drug regulation process, perhaps through coordinated data collection systems that already exist in certain national poisons centres. Routine collection of high quality data concerning the effects of drug overdose could allow a more comprehensive review of risk and benefit by the regulatory authorities.