Drug-induced torsades de pointes: data mining of the public version of the FDA Adverse Event Reporting System (AERS)

Donepezil-induced degradation of hERG potassium channel via lysosomal pathway is exacerbated by hypoxia

Donepezil (DPZ), an acetylcholinesterase inhibitor for Alzheimer's disease, has drawn attention for causing prolonged QT interval and torsade de pointes (TdP). Acquired long QT syndrome (acLQTS) is usually caused by blockage of the cardiac potassium current IKr/hERG, which is essential for cardiac repolarization. This study aimed to investigate DPZ's effect on hERG channel and its cardiotoxic mechanism, particularly focusing on whether hypoxia increases the risk of DPZ-induced acLQTS. To explore these, we employed western blotting to analyze protein levels, the patch clamp technique to measure hERG current and the action potentials of human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). Additionally, immunoprecipitation was utilized to detect protein-protein interactions. Finally, optical mapping monitored guinea pig ECGs and APD, providing in vivo insights. Our results indicate that 24-h incubation with DPZ inhibits hERG protein levels and current in the plasma membrane. Mechanistically, DPZ induces an imbalance in hERG protein acetylation/ubiquitination and decreases the stability of hERG by promoting HDAC6 expression, and the ubiquitinated hERG protein was degraded at lysosomes via K63-polyubiquitin chains. DPZ affects hERG membrane protein via two pathways: it accelerates endocytosis and directs degradation via CHMP3 (a sorting protein of ESCRT-III), while inhibiting recycling through Rab11. Hypoxia exacerbates DPZ-induced hERG degradation and APD prolongation in guinea pigs and hiPSC-CMs. Collectively, DPZ reduces hERG protein stability in the membrane, promoting its degradation in lysosomes. Hypoxia further exacerbates the risk of arrhythmia caused by DPZ. These findings remind us to pay attention to acLQTS induced by DPZ inhibition of hERG in clinical applications.

Effects of Cholinesterase Inhibitor Medication on QTc Interval in Memory Clinic Patients

BACKGROUND

Cholinesterase inhibitors (ChEIs)-donepezil, rivastigmine, and galantamine-are beneficial in treating Alzheimer disease (AD). However, due to their impact on extra-cerebral acetylcholine signaling, concerns about cardiac adverse effects, including QT interval prolongation, persist. Despite this, evidence-based guidelines for electrocardiogram (ECG) monitoring during ChEI treatment are lacking, and prior studies on ChEIs and corrected QT intervals (QTc) yield inconsistent findings.

OBJECTIVE

This study aimed to investigate the association between ChEI use and changes in QTc intervals among older adults.

METHODS

We collected retrospective data from first-time visitors to the geriatric memory clinic of Turku City Hospital in 2017 and 2019. We included patients who were newly prescribed ChEIs and had ECG data available (n = 126, mean age 81.1 years, 56.3% female). QTc prolongation was defined as ≥460 ms in females and ≥450 ms in men. Paired t tests compared QTc means before and during ChEI use, and McNemar tests analyzed changes in the proportion of prolonged QTc.

RESULTS

Mean ± SD QTc (ms) before versus during ChEI use was: 420.8 ± 24.0 versus 423.9 ± 28.0 (P = .13) for donepezil; 416.0 ± 20.4 versus 416.5 ± 26.1 (P = .92) for galantamine; 416.1 ± 22.3 versus 409.6 ± 20.1 (P = .30) for rivastigmine; and 419.7 ± 23.4 versus 421.5 ± 27.3 (P = .34) for all ChEIs. Prolonged QTc occurred in 7.9% of patients before versus 12.7% during ChEI use (P = .21).

CONCLUSION AND RELEVANCE

We found no statistically significant association between ChEI use and QTc interval prolongation or an increased proportion of pathological QTc values during ChEI treatment. Larger studies are warranted to establish evidence-based recommendations on ECG monitoring during ChEI medication.

Safety assessment of proteasome inhibitors real world adverse event analysis from the FAERS database

Proteasome inhibitor analogs (PIs) have significantly improved the degree of remission and survival rate of patients with multiple myeloma. However, serious adverse events (AEs) have hindered their clinical application. This study analyzed the AEs reported in the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database to determine the safety profile and differences for the PI drugs bortezomib, carfilzomib, and ixazomib. The reporting odds ratio (ROR) was used to detect safety signals. Significant safety signals were detected based on system-organ classification (SOC). For bortezomib, the most significant SOC signal was "blood and lymphatic system disorders" (ROR = 3.47, 95% CI 3.37-3.57), while the most significant PT signal was "enteric neuropathy" (ROR = 134.96, 95% CI 45.67-398.79). For carfilzomib, the most significant SOC signal being "blood and lymphatic system disorders" (ROR = 4.34, 95% CI 4.17-4.53), while the most significant PT signal was "light chain analysis increased" (ROR = 76.65, 95% CI 57.07-102.96). For ixazomib, the most significant SOC signal was "gastrointestinal disorders" (ROR = 2.04, 95% CI 1.96-2.12), while the most significant PT signal was "light chain analysis increased" (ROR = 67.15, 95% CI 45.36-99.42). For bortezomib and carfilzomib, the top 20 reported PTs were consistent with AEs listed in the drug information. For ixazomib, six unexpected AEs were observed: asthenia, malaise, pyrexia, decreased appetite, dehydration, and falls. The PIs were consistent with the early failure model based on time-series analysis of the occurrence of adverse reactions to the drug. The data mined from FAERS generates new AE signals, and further clinical studies are needed to validate these findings.

Adverse event profiles of CDK4/6 inhibitors: a disproportionality analysis of the FDA Adverse Event Reporting System (FAERS) database

BACKGROUND

The safety profile of CDK4/6 inhibitors has not yet been systemically analysed in the real world. This study aimed to provide a comprehensive understanding of AEs associated with CDK4/6 inhibitors using the FAERS database.

METHODS

FAERS data (2014Q1 to 2022Q4) were searched for reports of all FDA-approved CDK4/6 inhibitors across all indications. We used the SMQ generalized search AEs on the PT level. Disproportionality analysis was used to detect safety signals by calculating RORs.

RESULTS

Within the standardized MedDRA queries, significant safety signals were found, including those for palbociclib [haematopoietic leukopenia, erythropenia], ribociclib [haematopoietic leukopenia , conduction defects], and abemaciclib [eosinophilic pneumonia, dehydration]. For AEs at the PT level, we found several significant blood and lymphatic system disorders for both palbociclib and ribociclib, such as abnormal full blood count and decreased white blood cell count for palbociclib and anisocytosis, neutropenia for ribociclib. Palbociclib also had high RORs for pseudocirrhosis, stomatitis, oral pain, and alopecia, while ribociclib had high RORs for electrocardiogram PR shortened, sinus arrhythmia, and blood bilirubin abnormal. However, the RORs were significant for abemaciclib in terms of diarrhoea, vena cava thrombosis, thrombophlebitis migrans and pneumonitis.

CONCLUSION

CDK4/6 inhibitors differed in their safety profile reports.

Safety profile of levonorgestrel intrauterine system: Analysis of spontaneous reports submitted to FAERS

The levonorgestrel-releasing intrauterine system (LNG-IUS) is an established, long-acting contraceptive option. With the widespread use of the LNG-IUS, drug-reported adverse events (AEs) have also garnered significant attention. In this study, we conducted a real-world analysis using the FDA's Adverse Event Reporting System (FAERS) database to assess the incidence of AEs associated with LNG-IUS use. Data from FAERS spanning from 2004Q1 to 2024Q1 were reviewed, with a focus on reports in which LNG-IUS was the primary suspected and secondary suspect drug. Signal detection was carried out utilizing Standardized MedDRA Queries (SMQ) and Preferred Terms (PT), with reporting odds ratio (ROR), proportional reporting ratio (PRR), and information component (IC) employed to identify Signals of Disproportionate Reporting (SDR) for AEs. A positive SDR was defined when all three methods indicated significance. Analysis of 13 SMQs revealed notable SDRs in ear and eye disorders, cardiac arrhythmias, and lipodystrophy. Of the 61 suspected SDRs identified at the PT level, nearly half were not previously documented in labeling. Key potential signals of AEs associated with LNG-IUS use included increased heart rate, papilledema, idiopathic intracranial hypertension, cervical dysplasia, ruptured ovarian cyst, and uterine embedment and perforation. The findings underscore the importance of signal detection using FAERS data for identifying safety concerns related to LNG-IUS. Long-term observational studies are warranted to confirm and further elucidate these potential safety signals.

Drug-induced interstitial lung disease: a real-world pharmacovigilance study of the FDA Adverse Event Reporting System from 2004 to 2021

Background

Drug-induced interstitial lung disease (DILD) is an increasingly common cause of morbidity and mortality. However, due to the lack of specificity, DILD detection remains an unsolved public health challenge.

Objectives

For the first time, we aimed to examine DILD reports submitted to the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) to identify demographic characteristics and top drugs associated with DILD at a group level (including age, sex, drug class, and country stratification) and individual drug level.

Design

A retrospective analysis of the FAERS database was examined by disproportionality analysis.

Methods

We reviewed the FAERS database from 2004 to 2021, using search terms 'interstitial lung disease' and sorting cases by generic drug name. The reporting odds ratio, proportional reporting ratio, and Bayesian confidence propagation neural network were calculated as the measure of strength of association.

Results

There were 32,821 DILD reports in the FAERS. After excluding reports without age, sex, or country data according to the specific measurement, the median age of patients was 68 (interquartile range: 59), 54.77% were male, and 46.00% of reports came from Japan. The top drug classes related to DILD in the FAERS were antineoplastic, followed by cardiovascular and antirheumatic agents, in varying order in different sexes. Fam-trastuzumab deruxtecan-nxki, ramucirumab, and eribulin were the top three drugs with the highest strength of association. We also found some drugs without DILD in the labels, such as amiodarone, temsirolimus, and ursodiol. There are significant differences in DILD reports in various countries. For example, the United States and France reported more cardiovascular agents, whereas Canada reported more antirheumatic agents.

Conclusion

We found the top drugs and drug classes that were associated with DILD in the FAERS, which provides a real-world window for different ages, sexes, and countries to formulate precise pharmacovigilance policies.

Neonatal withdrawal syndrome following in utero exposure to antidepressants: a disproportionality analysis of VigiBase, the WHO spontaneous reporting database

BACKGROUND

Evidence on neonatal withdrawal syndrome following antidepressant intrauterine exposure is limited, particularly for antidepressants other than selective serotonin reuptake inhibitor (SSRIs).

METHODS

In our case/non-case pharmacovigilance study, based on VigiBase®, the WHO database of suspected adverse drug reactions, we estimated reporting odds ratio (ROR) and the Bayesian information component (IC) with 95% confidence/credibility intervals (CI) as measures of disproportionate reporting of antidepressant-related neonatal withdrawal syndrome. Antidepressants were first compared to all other medications, then to methadone, and finally within each class of antidepressants: SSRIs, tricyclics (TCA) and other antidepressants. Antidepressants were ranked in terms of clinical priority, based on semiquantitative score ratings. Serious v. non-serious reports were compared.

RESULTS

A total of 406 reports of neonatal withdrawal syndrome in 379 neonates related to 15 antidepressants were included. Disproportionate reporting was detected for antidepressants as a group as compared to all other drugs (ROR: 6.18, 95% CI 5.45-7.01, IC: 2.07, 95% CI 1.92-2.21). Signals were found for TCAs (10.55, 95% CI 8.02-13.88), followed by other antidepressants (ROR: 5.90, 95% CI 4.74-7.36) and SSRIs (ROR: 4.68, 95% CI 4.04-5.42). Significant disproportionality emerged for all individual antidepressants except for bupropion, whereas no disproportionality for any antidepressant was detected v. methadone. Eleven antidepressants had a moderate clinical priority score and four had a weak one. Most frequent symptoms included respiratory symptoms (n = 106), irritability/agitation (n = 75), tremor (n = 52) and feeding problems (n = 40).

CONCLUSIONS

Most antidepressants are associated with moderate signals of disproportionate reporting for neonatal withdrawal syndrome, which should be considered when prescribing an antidepressant during pregnancy, irrespective of class.

Characteristics of adverse event reports among people living with human immunodeficiency virus (HIV) in Japan: Data mining of the Japanese Adverse Drug Event Report database

The development of new anti-HIV drugs and advances in antiretroviral therapy (ART) regimens have enabled longer and more effective treatments in people living with HIV (PLWH). However, the aging of PLWHs is another issue that needs to be addressed. In addition to ART, many PLWHs frequently receive medications for various comorbidities. However, real-world data on the occurrence of adverse events in PLWHs and their causative drugs are rare. Therefore, this study aimed to clarify the characteristics of adverse event reports among PLWHs in Japan. PLWH cases with adverse events were comprehensively searched and analyzed using the Japanese Adverse Drug Event Report database (JADER). Despite changes in guideline-recommended ART regimens, anti-HIV drugs were the main cause of adverse events in PLWHs throughout the study period. However, considerable variations have been observed in the reporting rate of anti-HIV drug classes registered as causative drugs in JADER, especially for anchor drugs. In other words, the reporting rate of integrase strand transfer inhibitors has increased in recent years, while that of protease inhibitors and non-nucleoside reverse transcriptase inhibitors has decreased. Immune reconstitution inflammatory syndrome was the most reported adverse event and was frequently noticed by healthcare providers managing patients with HIV infections. The trends in adverse event reports for female and older patients differed from those for the overall population. This study may provide insights that can help in the establishment of optimal management strategies for PLWHs.

Post-marketing safety of immunomodulatory drugs in multiple myeloma: A pharmacovigilance investigation based on the FDA adverse event reporting system

Objective: In recent years, the emergence of immunomodulatory drugs (IMiDs) has significantly improved clinical outcomes in patients with multiple myeloma (MM); however, serious adverse events (AEs) have hindered their safe clinical application. This study aimed to characterize the safety profiles and differences in IMiDs through a disproportionality analysis using the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS), a post-marketing surveillance database. Methods: This study filtered reports of thalidomide, lenalidomide, and pomalidomide as primary suspect drugs in FAERS files from January 2013 to December 2021. AEs in the reports were retrieved according to the preferred terms (PTs) of the Medical Dictionary for Regulatory Activities. Furthermore, we detected safety signals using the reporting odds ratio (ROR), proportional reporting ratio (PRR), and Bayesian belief propagation neural network (BCPNN). When all three algorithms showed an association between the target drug and the AE, a positive signal was generated. Results: We extracted 9,968 thalidomide, 231,926 lenalidomide, and 55,066 pomalidomide AE reports. AEs were more common in male patients and in those >44 years old. Important safety signals were detected based on the system organ classes (SOC), including thalidomide (cardiac disorders: ROR, 2.87; PRR, 2.79; IC 1.22), lenalidomide (gastrointestinal disorders: ROR, 2.38; PRR, 2.27; IC 0.75), and pomalidomide (respiratory, thoracic, and mediastinal disorders: ROR, 2.14; PRR, 2.09; IC 0.85). Within the PT level, we identified novel risk signals: the thalidomide-induced second primary malignancy (SPM) signal was significant; lenalidomide reduced the success rate of hematopoietic stem cell collection; and three IMiDs may cause human chorionic gonadotropin increase, but this needs to be proven by clinical data. Pneumonia, sepsis, and renal failure are common risk factors for death due to IMiDs. Compared with thalidomide and lenalidomide, pomalidomide has a lower risk of venous thromboembolism (VTE) and is beneficial to patients with renal insufficiency. Conclusion: Mining data from FAERS resulted in novel AE signals, including adenocarcinoma of colon, harvest failure of blood stem cells, and increased levels of human chorionic gonadotropin. Further investigation is required to verify the significance of these signals. Moreover, IMiDs showed differences in safety reports, which should be emphasized by clinicians.

Dupilumab Adverse Events in Nasal Polyp Treatment: Analysis of FDA Adverse Event Reporting System

OBJECTIVES

Dupilumab was the first biologic approved to treat chronic rhinosinusitis with nasal polyps (CRSwNP). While the risk of adverse events in phase-III clinical trials was low, dupilumab-associated adverse reactions (DAR) with real-world use is unknown and potentially under-reported. We aimed to evaluate DAR for CRSwNP treatment (CRSwNP-tx) using the FDA Adverse Event Reporting System (FAERS).

STUDY DESIGN

Retrospective database study.

METHODS

FAERS was queried for DAR from 2019Q1 to 2021Q2. Individual DAR (iDAR) were categorized and quantitatively compared between treatment groups (CRSwNP, asthma, atopic dermatitis). Zero-truncated Poisson regression was modeled to predict the number of iDAR, and logistic regression was modeled to predict serious DARs.

RESULTS

There were 15,411 DAR observations; 911 for CRSwNP-tx, of which 121 (13.3%) had serious reactions and 3 died. Common CRSwNP-tx iDAR were dermatologic (13.9%), generalized (13.3%), and injection-site (10.8%) symptoms. The number of CRSwNP-tx iDAR was 2.99 [2.81, 3.17], compared to 3.44 [3.32, 3.56] for asthma and 3.18 [3.13, 3.24] for atopic dermatitis (Kruskal-Wallis test, P < .001). For CRSwNP-tx, iDAR reported-risk-ratio was 0.84 [0.77, 0.92] among men and 1.12 [1.04, 1.22] among older adults (>50). Serious DAR reported-odds-ratio was 1.37 [0.91, 2.04] among men and 1.39 [0.93, 2.08] among older adults.

CONCLUSIONS

While there are limitations with FAERS, this analysis suggests CRSwNP-tx is associated with fewer iDAR compared with other treatment indications. More iDAR are experienced among women and older adults, but men tend to have more serious DAR.

LEVEL OF EVIDENCE

3 Laryngoscope, 132:2307-2313, 2022.

Methadone switching for refractory cancer pain

BACKGROUND

Methadone is commonly considered an alternative opioid treatment for refractory cancer pain. This study aims to investigate the efficacy, safety, and cost of methadone in the treatment of refractory cancer pain.

METHODS

A retrospective study was conducted in patients who used methadone for refractory cancer pain from April 2016 to December 2020 at a cancer specialized hospital. Pain control, evaluated via pain score and breakthrough pain frequency, and adverse events of methadone were compared with analgesic regimens prior to methadone administration. The factors potentially affecting the switching outcome were analyzed via multivariate analysis. Moreover, the cost of pain control was estimated.

RESULTS

Ninety patients received methadone for poor pain control (74.4%), intolerable adverse events (10.0%), or both (15.6%) after prior opioid treatments. Sixty-four patients (71.1%) were successfully switched to methadone with median pain score significantly decreased from 4.0 to 2.0 (p < 0.001) and median daily frequency of breakthrough pain from 3.0 to 0.0 (p < 0.001) at a maintained median conversion ratio of 6.3 [interquartile range (IQR): 4.0-10.0] to prior opioid treatment. Similar adverse event profiles of constipation, nausea, vomiting, and dizziness were observed between methadone and prior opioid regimens. The median daily cost of analgesic regimens was significantly reduced from $19.5 (IQR: 12.3-46.2) to $10.8 (IQR: 7.1-18.7) (p < 0.01) after switching to methadone. The 3-day switch method significantly improved the rate of successful switching compared with the stop and go method (odds ratio = 3.37, 95% CI: 1.30-8.76, p = 0.013).

CONCLUSION

Methadone is an effective, safe, and cost-saving treatment for patients with refractory cancer pain.

Genetic factors contribute to medication-induced QT prolongation: A review

QT prolongation is a heart rhythm condition that impacts the lives of many people and when severe can be life-threatening. QT prolongation has been linked to variations in several genes, but it can also arise in the course of treatments with medications such as certain antipsychotics and antidepressants. However, it is unclear whether the risk of medication-induced QT prolongation (MIQTP) depends on specific genetic vulnerability. Here, we review the available literature on the interplay between genetic risk and medication exposure in the context of psychiatric treatment. A review was conducted on the genetic contribution to MIQTP in psychiatric patients. A literature search was conducted on the PubMed platform with 8 papers meeting criteria for review. A total of 3,838 patients from 8 studies meeting criteria for a psychotic or mood disorder were included in this review. All studies found evidence for the genetic contribution to MIQTP. The specific genes identified in these studies included the NOS1AP, ABCB1, KCNH2, SLC22A23, EPB41L4A, LEP, CACNA1C, CERKL, SLCO3A1, BRUNOL4, NRG3, NUBPL, PALLD, NDRG4 and PLN genes. The findings highlight both the importance of monitoring heart parameters in psychiatry and the possible role for genetic profiling to increase the treatment safety.

Drug-induced torsades de pointes: Disproportionality analysis of the United States Food and Drug Administration adverse event reporting system

Objective

This study aimed to identify the most common and top drugs associated with the risk of torsades de pointes (TdP) based on the United States Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database.

Materials and methods

We used OpenVigil 2.1 to query FAERS database and data from the first quarter of 2004 to the third quarter of 2021 were retrieved. The Medical Dictionary for Regulatory Activities (MedDRA) was used to identify TdP cases. We listed the most common drugs associated with the reported TdP cases. Then, the reporting odds ratio (ROR) and the proportional reporting ratio (PRR) for the reporting association between different drugs and TdP risk were calculated. Meanwhile, comparisons were conducted with the QT drug lists of CredibleMeds^® in an attempt to identify drugs with a potential risk of TdP that were not on the list.

Results

A total of 9,217,181 adverse event reports were identified, of which 3,807 (0.04%) were related to TdP. TdP was more likely to occur in the elderly and females. Amiodarone (464 cases) was associated with most cases of TdP. According to the disproportionality analysis, the top five drugs with the highest ROR and PRR were tolazoline (ROR 1615.11, 95% confidence interval [CI] 455.59–5725.75, PRR 969.46, χ² 2960.10), levomethadyl (ROR 1211.01, 95% CI 302.75–4844.04, PRR 807.67, χ² 1677.03), ibutilide (ROR 1118.74, 95% CI 425.00–2944.91, PRR 765.77, χ² 3845.27), halofantrine (ROR 660.55, 95% CI 184.21–2368.69, PRR 519.22, χ² 1076.31), and isoproterenol (ROR 352.20, 95% CI 227.19–546.00, PRR 307.82, χ² 6692.53). Approximately half of the top 50 drugs (22 for ROR, 30 for PRR) were not outlined on the QT drug lists of CredibleMeds^®.

Conclusion

Approximately half of the top risk drugs (22 for ROR, 30 for PRR) were not outlined in the QT drug lists of CredibleMeds^®. Notably, potential risks are of great importance and should be closely monitored in clinical practice. Also, further research is needed to investigate the association between these drugs and TdP.

A tree-based scan statistic for zero-inflated count data in post-market drug safety surveillance

After new drugs enter the market, adverse events (AE) induced by their use must be tracked; rare AEs may not be detected during clinical trials. Some organizations have been collecting information on suspected drugs and AEs via a spontaneous reporting system to conduct post-market drug safety surveillance. These organizations use the information to detect a signal representing potential causality between drugs and AEs. The drug and AE data are often hierarchically structured. Accordingly, the tree-based scan statistic can be used as a statistical data mining method for signal detection. Most of the AE databases contain a large number of zero-count cells. Notably, not only an observational zero from the Poisson distribution, but also a true zero exists in zero-count cells. True zeros represent theoretically impossible observations or possible but unreported observations. The existing tree-based scan statistic assumes that all zeros are zero-valued observations from the Poisson distribution. Therefore, true zeros are not considered in the modeling, which can lead to bias in the inferences. In this study, we propose a tree-based scan statistic for zero-inflated count data in a hierarchical structure. According to our simulation study, in the presence of excess zeros, our proposed tree-based scan statistic provides better performance than the existing tree-based scan statistic. The two methods were illustrated using Korea Adverse Event Reporting System data from the Korea Institute of Drug Safety and Risk Management.

Therapeutic Status of Famotidine in COVID-19 Patients: A Review

The novel coronavirus, SARS-coV-2, which emerged in Wuhan in November 2019, has increasingly spread worldwide. More than 272 million cases of infection have been identified. COVID-19 has affected 223 countries and territories across the world. The principal target of the SARS-CoV-2 infection is the lower respiratory tract. Series of moderate to non-specific severe clinical signs and symptoms appear two to fourteen days after exposure to SARS-CoV-2 in patients with COVID-19 disease, including cough, breath deficiency, and at least two of these symptoms: headache, fever, chills, repeated rigor, myalgia, oropharyngitis, anosmia, and ageusia. No therapeutic agents have been validated to have substantial efficacy in the clinical care of COVID-19 patients in large-scale trials, despite worsening infected rates of COVID-19. Early clinical evidence from many sources suggests that treatment with famotidine may decrease COVID-19-related morbidity and mortality. The mechanism by which famotidine could improve the outcomes of COVID-19 is currently unknown. A more recent postulated mechanism is that the effect of famotidine is mediated by histamine-2 receptor antagonism or inverse agonism, inferring that the SARS-CoV-2, resulting in COVID-19 infection, at least partially leads to the abnormal release of histamine and perhaps dysfunction of mast cells.

Manual QT interval measurement with a smartphone-operated single-lead ECG versus 12-lead ECG: a within-patient diagnostic validation study in primary care

OBJECTIVE

To determine the accuracy of QT measurement in a smartphone-operated, single-lead ECG (1L-ECG) device (AliveCor KardiaMobile 1L).

DESIGN

Cross-sectional, within-patient diagnostic validation study.

SETTING/PARTICIPANTS

Patients underwent a 12-lead ECG (12L-ECG) for any non-acute indication in primary care, April 2017-July 2018.

INTERVENTION

Simultaneous recording of 1L-ECGs and 12L-ECGs with blinded manual QT assessment. OUTCOMES OF INTEREST: (1) Difference in QT interval in milliseconds (ms) between the devices; (2) measurement agreement between the devices (excellent agreement <20 ms and clinically acceptable agreement <40 ms absolute difference); (3) sensitivity and specificity for detection of extreme QTc (short (≤340 ms) or long (≥480 ms)), on 1L-ECGs versus 12L-ECGs as reference standard. In case of significant discrepancy between lead I/II of 12L-ECGs and 1L-ECGs, we developed a correction tool by adding the difference between QT measurements of 12L-ECG and 1L-ECGs.

RESULTS

250 ECGs of 125 patients were included. The mean QTc interval, using Bazett's formula (QTcB), was 393±25 ms (mean±SD) in 1L-ECGs and 392±27 ms in lead I of 12L-ECGs, a mean difference of 1±21 ms, which was not statistically different (paired t-test (p=0.51) and Bland Altman method (p=0.23)). In terms of agreement between 1L-ECGs and lead I, QTcB had excellent agreement in 66.9% and clinically acceptable agreement in 93.4% of observations. The sensitivity and specificity of detecting extreme QTc were 0% and 99.2%, respectively. The comparison of 1L-ECG QTcB with lead II of 12L-ECGs showed a significant difference (p=<0.01), but when using a correction factor (+9 ms) this difference was cancelled (paired t-test (p=0.43) or Bland Altman test (p=0.57)). Moreover, it led to improved rates of excellent (71.3%) and clinically acceptable (94.3%) agreement.

CONCLUSION

Smartphone-operated 1L-ECGs can be used to accurately measure the QTc interval compared with simultaneously obtained 12L-ECGs in a primary care population. This may provide an opportunity for monitoring the effects of potential QTc-prolonging medications.

[Depression therapy for somatic diseases]

A review of works devoted to the problem of psychopharmacotherapy of depression in general medical practice is presented. The issues of its comorbidity with somatic and neurological diseases, as well as multimorbidity are discussed. Both direct and side-effects of antidepressants, which are important for effective therapy of not only affective disorders proper, but also the symptoms of the leading pathology, are considered in detail for individual organs and systems. The analysis of the preferred pharmacological classes of antidepressants, which are drugs of first choice, taking into account the somatic condition of the patient, is carried out, and drugs are indicated, the appointment of which is undesirable for the treatment of a patient with a certain disease. The presented results are aimed both at increasing the efficiency of therapy for patients with general medical level of health care, and at increasing the safety of treatment of psychiatric patients with concomitant somatic disorders.

Systematic analysis of safety profile for darunavir and its boosted agents using data mining in the FDA Adverse Event Reporting System database

This current investigation was aimed to generate signals for adverse events (AEs) of darunavir-containing agents by data mining using the US Food and Drug Administration Adverse Event Reporting System (FAERS). All AE reports for darunavir, darunavir/ritonavir, or darunavir/cobicistat between July 2006 and December 2019 were identified. The reporting Odds Ratio (ROR), proportional reporting ratio (PRR), and Bayesian confidence propagation neural network (BCPNN) were used to detect the risk signals. A suspicious signal was generated only if the results of the three algorithms were all positive. A total of 10,756 reports were identified commonly observed in hepatobiliary, endocrine, cardiovascular, musculoskeletal, gastrointestinal, metabolic, and nutrition system. 40 suspicious signals were generated, and therein 20 signals were not included in the label. Severe high signals (i.e. progressive extraocular muscle paralysis, acute pancreatitis, exfoliative dermatitis, acquired lipodystrophy and mitochondrial toxicity) were identified. In pregnant women, umbilical cord abnormality, fetal growth restriction, low birth weight, stillbirth, premature rupture of membranes, premature birth and spontaneous abortion showed positive signals. Darunavir and its boosted agents induced AEs in various organs/tissues, and were shown to be possibly associated with multiple adverse pregnant conditions. This study highlighted some novel and severe AEs of darunavir which need to be monitored prospectively.

A retrospective study on the safety and effectiveness of olanzapine versus midazolam for pre-hospital management of excited delirium syndrome

Objective:

To evaluate the safety and effectiveness of olanzapine compared to midazolam for the pre-hospital management of excited delirium syndrome.

Methods:

A retrospective review of patients who were treated by ambulance crew for excited delirium syndrome from 2016 to 2019 was performed. The drug of choice was given per Fire Service Department’s paramedic protocol (intramuscular midazolam January 2016 to October 2018 and intramuscular olanzapine October 2018 to December 2019). The primary outcome was the proportion of patients experienced at least one adverse event. The secondary outcome was the successful sedation rate.

Results:

A total of 201 patients were included in the study. Ninety-nine patients had pre-hospital midazolam and 102 received olanzapine. Thirty-one patients experienced adverse event after arrival to A&E, including a drop of Glasgow Coma Scale score to below 8 (90%), hypotension (6%), and airway obstruction (3%): 17 (17% patients; 1 airway obstruction and 16 Glasgow Coma Scale score below 8) in midazolam group and 14 (14% patients; 2 hypotension and 12 Glasgow Coma Scale score below 8) in olanzapine group (p = 0.41). Sixty-eight patients (69%) in midazolam group achieved successful sedation, compared with 79 (77%) in olanzapine group (p = 0.20). More adverse events were seen with midazolam than olanzapine in alcohol intoxication subgroup with statistical significance (12 vs 2, p = 0.03).

Conclusion:

Both midazolam and olanzapine can achieve a satisfactory success rate of sedation. More adverse events are associated with midazolam use in patients with acute alcohol intoxication, especially over-sedation and airway compromise. Olanzapine would be a safer choice in the pre-hospital setting where the resource is limited, and differentiation of underlying causes is not always possible.

Drug-induced liver injury associated with antiseizure medications from the FDA Adverse Event Reporting System (FAERS)

PURPOSE

Treatment with antiseizure medications (ASMs) confers a risk of drug-induced liver injury (DILI), especially for older ASMs. We sought to quantify recent reports of DILI attributed to both older and newer generation ASMs and survey newly marketed ASMs for hepatotoxicity in a large post-marketing database.

METHODS

We queried over 2.6 million adverse event reports made to the FDA Adverse Event Reporting System (FAERS) database between July 1, 2018 and March 31, 2020 for DILI due to ASMs commonly used in clinical practice. Patient characteristics and outcomes were assessed. We calculated the reporting odds ratio (ROR) of DILI for each individual ASM versus all non-ASM reports.

RESULTS

A total of 2175 DILI cases were attributed to an ASM during the study period. 97.2% of these were designated as serious reactions, which include death, hospitalization, disability, and other life-threatening outcomes. A number of older and newer generation ASMs were associated with DILI, specifically: carbamazepine (ROR 2.92), phenobarbital (ROR 2.91), oxcarbazepine (ROR 2.58), phenytoin (ROR 2.40), valproate (ROR 2.22), lamotrigine (ROR 2.06), clobazam (ROR 1.67), levetiracetam (ROR 1.56), and diazepam (ROR 1.53). However, increased odds of DILI were not seen with zonisamide, perampanel, stiripentol, lacosamide, clonazepam, pregabalin, felbamate, eslicarbazepine, cannabidiol, topiramate, gabapentin, ethosuximide, brivaracetam, or primidone. Vigabatrin, tiagabine, and rufinamide all had zero reports of DILI.

CONCLUSIONS

The majority of newer generation ASMs were not significantly associated with DILI. Future studies utilizing FAERS in conjunction with other data sources will be critical for the ongoing surveillance of DILI, particularly as newly marketed ASMs continue to enter into widespread clinical use.

Visualization of Kinase Inhibition-Related Adverse Events Using the Japanese Adverse Drug Event Report Database

INTRODUCTION

Small molecule tyrosine kinase inhibitors (TKIs) inhibit not only the target kinase but also various kinases as off-target inhibitors not mentioned in the package insert. However, there are no reports that comprehensively examine the relationship between adverse events and kinase affinity.

OBJECTIVE

In this study, we combined basic data and clinical data to visualize the relationship between kinase affinity and adverse events, which will be useful for the management of adverse events in clinical practice.

METHODS

We targeted TKIs that have been used domestically and for which the dissociation constant was obtained as reported by Davis et al. Adverse event data recorded in the Japanese Adverse Drug Event Report (JADER) database provided by the Pharmaceuticals and Medical Devices Agency between April 2004 and January 2018 were used. We calculated the reporting rates of the Standardized MedDRA Queries (SMQ) for the adverse events of interest and visualized the correlation coefficients with kinase affinity. We used the adverse events associated with VEGFR2 and EGFR to assess their validity.

RESULTS

We found a correlation among known kinase-related adverse events, suggesting that the methodology may be used as a signal detection method to generate hypotheses for clinical and basic research.

CONCLUSION

Our comprehensive analysis of the kinase affinity of TKIs in this study, which was based on basic TKI kinase affinity data and the clinical data of the reporting rates, suggested that our comprehensive analysis method is useful for generating hypotheses about possible causal relationships between pharmacological effects and adverse events.

In Silico Approach to Predict Severe Cutaneous Adverse Reactions Using the Japanese Adverse Drug Event Report Database

Severe cutaneous adverse reactions (SCARs), such as Stevens–Johnson syndrome/toxic epidermal necrolysis and drug‐induced hypersensitivity syndrome, are rare and occasionally fatal. However, it is difficult to detect SCARs at the drug development stage, necessitating a new approach for prediction. Therefore, in this study, using the chemical structure information of SCAR‐causative drugs from the Japanese Adverse Drug Event Report (JADER) database, we tried to develop a predictive classification model of SCAR through deep learning. In the JADER database from 2004 to 2017, we defined 185 SCAR‐positive drugs and 195 SCAR‐negative drugs using proportional reporting ratios as the signal detection method, and the total number of reports. These SCAR‐positive and SCAR‐negative drugs were randomly divided into the training dataset for model construction and the test dataset for evaluation. The model performance was evaluated in the independent test dataset inside the applicability domain (AD), which is the chemical space for reliable prediction results. Using the deep learning model with molecular descriptors as the drug structure information, the area under the curve was 0.76 for the 148 drugs of the test dataset inside the AD. The method developed in the present study allows for utilizing the JADER database for SCAR classification, with potential to improve screening efficiency in the development of new drugs. This method may also help to noninvasively identify the causative drug, and help assess the causality between drugs and SCARs in postmarketing surveillance.

Increased Odds of Ventricular Arrhythmias Associated with Selective Serotonin Reuptake Inhibitor Use among the Pediatric and Young Adult Population: A Case-Control Study

OBJECTIVE

To measure the association between selective serotonin reuptake inhibitor (SSRI) use and out-of-hospital ventricular arrhythmia among the pediatric and young adult population.

STUDY DESIGN

Case-control study using US claims data from 2007 to 2018. Cases were subjects with at least 1 event between ages 2 and 24 years. Controls (matched 10:1 on index date, age, sex, and continuous enrollment) had no events during study period. Independent association between current SSRI use (prescription fill with continuous exposure ending on, or after, the index date) and incident out-of-hospital ventricular arrhythmia (hospitalization or emergency room encounter with primary diagnostic code for ventricular arrhythmia) was estimated using multivariable conditional logistic regression. Separate analyses were performed for pediatric (2-17 years of age) vs young adult (18-24 years of age) subjects and between citalopram/escitalopram vs other SSRIs.

RESULTS

During the study period, 237 eligible cases were identified with 2370 matched controls. Cases were more likely to have government insurance and have a mental health, cardiac, or other complex chronic condition. Thirteen cases (5%) and 15 controls (<1%) had current SSRI exposure. After adjustment for mental health and chronic conditions, there was an increased odds of current SSRI use among cases compared with controls (OR 5.11, 95% CI 1.22-21.37). No difference was observed between pediatric and young adult ages, nor between citalopram/escitalopram and other SSRIs.

CONCLUSIONS

These findings demonstrate increased odds of out-of-hospital ventricular arrhythmia associated with SSRI use in the pediatric and young adult population, suggesting a need for heightened awareness and ongoing monitoring of this potential adverse effect.

QT interval prolongation and Torsades de Pointes with donepezil, rivastigmine and galantamine

Background

Acetylcholinesterase inhibitors (AChEis) including donepezil, galantamine and rivastigmine are used to treat Alzheimer's disease (AD). This study aimed to evaluate evidence from the case report literature for an association between these agents and risk of QT interval prolongation and Torsades de Pointes (TdP) arrhythmia.

Methods

Published literature was mined with predetermined MeSH terms for each of donepezil, galantamine and rivastigmine, to identify cases of QT interval prolongation and TdP. Case reports were analysed using causality scales and a QT interval nomogram.

Results

A total of 13 case reports were found (10 for donepezil, 2 for galantamine and 1 for rivastigmine) with rate corrected QT interval (QT_c) prolongation. Five cases with donepezil exhibited TdP. TdP was not reported in the cases with galantamine and rivastigmine. The use of a QT heart rate nomogram highlighted risk with donepezil compared with the other two drugs and the application of the Naranjo causality scale suggested probable or possible causation for all donepezil cases. All patients had at least two other risk factors for TdP, including modifiable risk factors such as electrolyte disturbances, bradycardia, co-administration of QT prolonging drugs. A number of recent cases involved recent changes in medication.

Conclusion

Our evaluation of the case report literature suggests that there is evidence for a causal association between donepezil and QT_c/TdP risk. Attention to risk factors for QT_c prolongation/TdP should be exercised when prescribing donepezil and modifiable risk factors corrected. Owing to the low number of cases with galantamine and rivastigmine, further work is needed to establish whether these drugs may be more suitable than donepezil for patients with other risk factors for TdP.

Fractures due to Aromatase Inhibitor Therapy for Breast Cancer: A Real-World Analysis of FAERS Data in the Past 15 Years

INTRODUCTION

The adverse effect of fractures by different aromatase inhibitor (AI) drugs has not been thoroughly assessed in real-world studies.

OBJECTIVE

To assess the adverse events of fractures of real-world breast cancer patients caused by AI therapy through the Food and Drug Administration Adverse Event Reporting System (FAERS) database.

METHODS

The FAERS data from January 2004 to December 2018 were sorted out and analyzed for correlations between fractures and AI use. Disproportionate analysis and Bayesian analysis were adopted to quantify the signal, the association between the AIs and fractures. The onset time and outcome of fractures after different AI regimens were also compared.

RESULTS

Out of 23,064 adverse reports, 657 fracture reports (2.85%) were analyzed. Anastrozole showed a positive association with 4 detection methods, while letrozole and exemestane did so with 2. More exemestane-related reports (44.62%) resulted in initial or prolonged hospitalization than anastrozole (30.12%, p = 0.013) and letrozole (29.43%, p = 0.006). The fracture onset time showed no significant difference among anastrozole, letrozole, and exemestane (median onset time: 46.95, 34.25, and 40.58 months, respectively; p = 0.236).

CONCLUSIONS

Anastrozole should be prescribed with more medical care. Analysis of FAERS data identified fracture risk tendencies with AI regimens, which supported continuous monitoring, risk evaluations, and further comparative studies.

Risk Factors for Cardiovascular Events in Patients on Antidementia Medications

OBJECTIVE

To identify characteristics associated with an increased risk of cardiovascular events in patients diagnosed with Alzheimer disease (AD) and treated with antidementia medications.

METHODS

Demographics, diagnoses, and medication usage of 30 433 Medicare patients were analyzed using 2006 to 2013 claims data and a combined model of screening, ranking and stepwise logistic regressions to evaluate factors associated with composite outcomes of 6 cardiovascular events.

RESULTS

Incidence rate of at least 1 cardiovascular event was 25.1%. Fifty-five factors were identified from the 10 381 candidate variables by the combined model with a c-statistic of 67% and an accuracy of 75%. Factors associated with increased risk of cardiovascular events include history of heart rhythm disorders, alteration of consciousness (odds ratio [OR]: 1.25; 95% confidence interval [CI]: 1.14-1.36), and usage of β-blockers (OR: 1.19; 95% CI: 1.13-1.27).

CONCLUSIONS

Clinicians should consider the increased risk of cardiovascular events in patients with AD with heart rhythm disorders and on β-blockers.

Bradyarrhythmia due to mirtazapine overdose: A case of serious adverse event in a suicidal patient

There are a limited number of studies on postoverdose clinical findings of mirtazapine in the literature. Our case presented an unlikely junctional rhythm, which we have not seen in the previous studies, in a patient who had bradycardia and hypotension following mirtazapine intake. A 37-year old male was admitted to the emergency department (ED) after his suicide attempt with 300 mg PO of mirtazapine tablets. He took the drug 2 h prior to his ED visit. He did not have any complaints after the mirtazapine intake. His complete physical examination and electrocardiography (ECG) revealed no pathological findings. He was observed in the ED. The results were in the normal range in his blood test and he has 0 mg/dl of blood ethanol. He experienced dizziness after 5 h and 30 min. The blood pressure was 60/30 mmHg. The heart rate was 34 beats/min. The simultaneous ECG showed junctional bradycardia. 0.5 mg atropine IV was given two times at intervals. Norepinephrine infusion was initiated after normal saline therapy. Forty-five minutes later, he did not have any clinically significant complaint. There are no pathological findings in his follow-up ECG and physical examination. He was discharged of his own accord 10 h after his ED admission. His initial mirtazapine level was 145 ng/ml when he came to the ED. Mirtazapine was known to have a safe cardiac profile both for regular dose and overdose. However, physicians should consider that it might induce a life-threatening bradyarrhythmia.

DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels

BACKGROUND

A drug-drug interaction (DDI) is defined as a drug effect modified by another drug, which is very common in treating complex diseases such as cancer. Many studies have evidenced that some DDIs could be an increase or a decrease of the drug effect. However, the adverse DDIs maybe result in severe morbidity and even morality of patients, which also cause some drugs to withdraw from the market. As the multi-drug treatment becomes more and more common, identifying the potential DDIs has become the key issue in drug development and disease treatment. However, traditional biological experimental methods, including in vitro and vivo, are very time-consuming and expensive to validate new DDIs. With the development of high-throughput sequencing technology, many pharmaceutical studies and various bioinformatics data provide unprecedented opportunities to study DDIs.

RESULT

In this study, we propose a method to predict new DDIs, namely DDIGIP, which is based on Gaussian Interaction Profile (GIP) kernel on the drug-drug interaction profiles and the Regularized Least Squares (RLS) classifier. In addition, we also use the k-nearest neighbors (KNN) to calculate the initial relational score in the presence of new drugs via the chemical, biological, phenotypic data of drugs. We compare the prediction performance of DDIGIP with other competing methods via the 5-fold cross validation, 10-cross validation and de novo drug validation.

CONLUSION

In 5-fold cross validation and 10-cross validation, DDRGIP method achieves the area under the ROC curve (AUC) of 0.9600 and 0.9636 which are better than state-of-the-art method (L1 Classifier ensemble method) of 0.9570 and 0.9599. Furthermore, for new drugs, the AUC value of DDIGIP in de novo drug validation reaches 0.9262 which also outperforms the other state-of-the-art method (Weighted average ensemble method) of 0.9073. Case studies and these results demonstrate that DDRGIP is an effective method to predict DDIs while being beneficial to drug development and disease treatment.

Association of Antidementia Therapies With Time to Skilled Nursing Facility Admission and Cardiovascular Events Among Elderly Adults With Alzheimer Disease

Importance

To date, no study has compared time to skilled nursing facility (SNF) admission and cardiovascular events across medications available to treat Alzheimer disease.

Objective

To compare time to SNF admission and cardiovascular events between acetylcholinesterase inhibitor (AChEI) monotherapy, memantine hydrochloride monotherapy, and combination therapy with an AChEI and memantine in treating elderly adults with Alzheimer disease.

Design, Setting, and Participants

This retrospective cohort study uses January 1, 2006, to December 31, 2014, claims data from a 5% random sample of Medicare beneficiaries who had received a new diagnosis of Alzheimer disease between January 1, 2007, and December 31, 2013, and who initiated AChEI monotherapy, memantine monotherapy, or combination therapy with an AChEI and memantine (N = 73 475). Patients were followed up until discontinuation of treatment, switch of treatment, death, or the end of the study period. Statistical analysis was conducted from February 15, 2018, to June 15, 2018.

Exposures

Acetylcholinesterase inhibitor monotherapy (n = 44 424), memantine monotherapy (n = 11 809), and combination therapy with an AChEI and memantine (n = 17 242).

Main Outcomes and Measures

Primary outcomes were time to SNF admission and the composite of the following cardiovascular events: acute myocardial infarction, bradycardia, syncope, atrioventricular block, QT interval prolongation, and ventricular tachycardia. Cox proportional hazards regression models were constructed to compare outcomes between each pair of treatment groups, controlling for a comprehensive list of patient characteristics.

Results

The study population included 73 475 participants (53 068 women and 20 407 men; mean [SD] age, 81.8 [8.3] years); 25.5% of the participants initiating AChEI monotherapy, 25.6% of participants initiating memantine monotherapy, and 29.7% of participants initiating combination therapy with an AChEI and memantine were admitted to an SNF. Similarly, 22.2% of the participants initiating AChEI monotherapy, 20.0% of those initiating memantine monotherapy, and 24.5% of those initiating combination therapy experienced at least 1 cardiovascular event. No difference in time to SNF admission was found across the 3 treatment groups. The risk of the composite measure of any cardiovascular event did not differ between the combination therapy and AChEI monotherapy groups (adjusted hazard ratio [aHR], 0.99; 95% CI, 0.96-1.03); however, it was higher for both AChEI monotherapy (aHR, 1.07; 95% CI, 1.02-1.12) and combination therapy (aHR, 1.07; 95% CI, 1.01-1.12), relative to memantine monotherapy. This result was mainly driven by the lower risk of bradycardia and syncope observed for the memantine monotherapy group relative to both AChEI monotherapy (bradycardia: aHR, 0.88; 95% CI, 0.82-0.95; and syncope: aHR, 0.92; 95% CI, 0.86-0.97) and combination therapy (bradycardia: aHR, 0.89; 95% CI, 0.82-0.97; and syncope: aHR, 0.87; 95% CI, 0.83-0.94).

Conclusions and Relevance

Time to SNF admission did not differ across treatment groups, but memantine monotherapy was associated with a lower risk of cardiovascular events compared with both AChEI monotherapy and combination therapy with an AChEI and memantine.

Key Elements in Adverse Drug Reactions Safety Signals: Application of Legal Strategies

Adverse drug reactions, or unintended and harmful outcomes related to the administration of a pharmaceutical product, are a major public health concern, particularly for cancer patients. If counted as a separate cause of death, adverse drug reactions would represent the fourth leading cause of death in the United States. Several legal strategies are available to help mitigate their occurrences and to compensate victims for the harm that results from adverse events. Prior to FDA approval of a drug, the limited size and duration of clinical trials often fail to detect adverse drug reactions. However, after FDA approval, pharmacovigilance efforts are bolstered by recent expansions of FDA post-marketing regulatory powers codified in the 2007 Food and Drug Administration Amendments Act, as well as advances in big data analytics that improve adverse signal detection through data mining of large electronic health records. For victims of adverse drug reactions, tort lawsuits filed in the courts help compensate for the harm suffered and may also serve as warnings to manufacturers to improve drug safety to avoid future legal liability. While encouraging developments have occurred, new and existing legal structures to mitigate and compensate for adverse drug reactions must continue to be refined given increasingly complex pharmaceutical agents.

Withdrawal of prenylamine: perspectives on pharmacological, clinical and regulatory outcomes following the first QT-related casualty

Prenylamine, an antianginal agent marketed since early 1960, became the first casualty of QT interval related proarrhythmias in 1988 when it was withdrawn from the market. The period of its synthesis and marketing is of particular interest since it antedated, first, any serious clinical safety concern regarding drug-induced prolongation of the QT interval which was, in fact, believed to be an efficient antiarrhythmic mechanism; second, the first description of torsade de pointes as a unique proarrhythmia, typically associated with prolonged QT interval; and third, the discovery and recognition of calcium antagonism as an important cardiovascular therapeutic strategy. This review, 30 years almost to the day following its withdrawal, provides interesting perspectives on clinical, pharmacological and regulatory outcomes that followed. Prenylamine underscored torsadogenic potential of other early antianginal drugs on the market at that time and identified QT-related proarrhythmias as a much wider major public health issue of clinical and regulatory concern. This resulted in various guidelines for early identification of this potentially fatal risk. Application of these guidelines would have readily identified its proarrhythmic potential. Prenylamine also emphasized differences in drug responses between men and women which subsequently galvanized extensive research into sex-related differences in pharmacology. More importantly, however, investigations into the mechanisms of its action paved the way to developing modern safe and effective calcium antagonists that are so widely used today in cardiovascular pharmacotherapy.

QTc interval prolongation in critically ill patients: Prevalence, risk factors and associated medications

PURPOSE

To investigate the prevalence and risk factors of acquired long QT syndrome (LQTS) on admission to a general Intensive Care Unit (ICU), and to assess the risk of LQTS associated with prescribed medications.

METHODS

Prospective observational, cross-sectional study approved by the Institutional Review Board. Between May 2014 and July 2016, 412 patients >18 years-old consecutively admitted to the ICU of a university hospital were included. LQTS was defined as a QT interval on the admission electrocardiogram corrected using Bazett's formula (QTc) >460 ms for men and >470 ms for women. All medications administered within 24 hours before admission were recorded. Logistic regression was used.

RESULTS

LQTS prevalence was 27.9%. In LQTS patients, 70.4% had ≥ 1 LQTS-inducing drug prescribed in the 24 hours prior to ICU admission versus 70.4% in non-LQTS patients (p = 0.99). Bradycardia and Charlson morbidity index score are independent risk factors for LQTS. Haloperidol (OR 4.416), amiodarone (OR 2.509) and furosemide (OR 1.895) were associated with LQTS, as well as another drug not yet described, namely clopidogrel (OR 2.241).

CONCLUSIONS

The LQTS is highly prevalent in critically ill patients, ICU patients are often admitted with LQTS-inducing medications, and patients with slow heart rate or with high Charlson comorbidity index should be evaluated for LQTS.

Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system

Objective

As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal relationships to the suspect medications. We combined text mining with machine learning to construct and evaluate such a system to identify medication-related adverse event reports.

Methods

FDA safety evaluators assessed 326 reports for medication-related causality. We engineered features from these reports and constructed random forest, L1 regularized logistic regression, and support vector machine models. We evaluated model accuracy and further assessed utility by generating report rankings that represented a prioritized report review process.

Results

Our random forest model showed the best performance in report ranking and accuracy, with an area under the receiver operating characteristic curve of 0.66. The generated report ordering assigns reports with a higher probability of medication-related causality a higher rank and is significantly correlated to a perfect report ordering, with a Kendall's tau of 0.24 ( P  = .002).

Conclusion

Our models produced prioritized report orderings that enable FDA safety evaluators to focus on reports that are more likely to contain valuable medication-related adverse event information. Applying our models to all FDA adverse event reports has the potential to streamline the manual review process and greatly reduce reviewer workload.

Cases of drug-induced Torsade de Pointes: a review of Belgian cases in the EudraVigilance database

OBJECTIVES

Post-marketing surveillance is very important, especially for rare adverse drug reactions like QTc-prolongation and Torsade de Pointes (TdP). The objective of this study was to investigate the characteristics of Belgian cases of drug-related TdP reported in the EudraVigilance database.

METHODS

The EudraVigilance database was searched for Belgian post-marketing cases of TdP reported between December 2001-April 2015. These cases were identified with MedDRA preferred terms. Duplicate reports were excluded. Each included case report was reviewed to collect data about age, gender, seriousness, suspected drug, concomitant drugs, causality, and other known risk factors for QTc-prolongation.

RESULTS

Between 2001 and 2015, only 31 cases coded as TdP were identified; 16 cases were also coded as 'prolonged QT' and 2 patients died. In total, 21 suspected drugs were implicated and most of them (N = 11) were part of list 1 of CredibleMeds. The most common suspected drugs were citalopram (N = 4) and amiodarone (N = 3). In 18 cases, a pharmacodynamic drug-drug interaction with risk of QTc-prolongation was present. Most patients (N = 25) had ≥2 other risk factors for QTc-prolongation.

CONCLUSION

Over 15 years, only a low number of Belgian cases of TdP were identified in the EudraVigilance database. In most case reports, multiple risk factors for QTc-prolongation could be detected. This illustrates that there is a clear underreporting of QTc-prolongation and TdP in Belgium. Initiatives are needed to improve the awareness and knowledge of health care professionals regarding the risk of QTc-prolongation and TdP, both to prevent cases of TdP and to stimulate the reporting of these cases.

Emergency department approach to QTc prolongation

QTc prolongation has been associated with increased risk of developing ventricular tachydysrhythmias, particularly Torsades de Pointes (TdP). QTc prolongation is influenced by many factors including congenital causes, heart rate, metabolic imbalances, and pharmacotherapy. Several commonly used medications in the emergency department (ED), such as antipsychotics and antiemetics, are known to prolong the QT interval. In addition, ED patients may present with conditions that may predispose them to QTc prolongation, such as drug overdose or hypokalemia, which can further complicate management. ED providers should not only be aware of which medications have these effects, but must also thoroughly investigate any pertinent patient history that may contribute to QTc prolongation. This review discusses commonly encountered medications that are associated with QTc prolongation, the mechanisms by which they prolong the QTc interval, and other factors that may influence ED medication administration and management.

Proton Pump Inhibitors and the Risk for Fracture at Specific Sites: Data Mining of the FDA Adverse Event Reporting System

Proton pump inhibitors (PPIs) are widely used to treat gastric acid-related disorders. Concerns have been raised about potential fracture risk, especially at the hip, spine and wrist. However, fracture risk at other bone sites has not been as well studied. We investigated the association between PPIs and specific fracture sites using an aggregated knowledge-enhanced database, the Food and Drug Administration Adverse Event Reporting System Data Mining Set (AERS-DM). Proportional reporting ratio (PRR) was used to detect statistically significant associations (signals) between PPIs and fractures. We analyzed both high level terms (HLT) and preferred terms (PT) for fracture sites, defined by MedDRA (Medical Dictionary for Regulatory Activities). Of PPI users reporting fractures, the mean age was 65.3 years and the female to male ratio was 3.4:1. Results revealed signals at multiple HLT and PT fracture sites, consistent for both sexes. These included fracture sites with predominant trabecular bone, not previously reported as being associated with PPIs, such as 'rib fractures', where signals were detected for overall PPIs as well as for each of 5 generic ingredients (insufficient data for dexlansoprazole). Based on data mining from AERS-DM, PPI use appears to be associated with an increased risk for fractures at multiple sites.

Digoxin-induced anemia among patients with atrial fibrillation and heart failure: clinical data analysis and drug-gene interaction network

Digoxin is widely used to treat various heart conditions. In order to clarify the association between digoxin and anemia adverse reaction, we inspected case reports submitted to the FDA Adverse Event Reporting System (FAERS) between January 2004 and December 2015. These reports involved 75618 atrial fibrillation patients and 15699 heart failure patients. Compared to other therapies, digoxin treatment was significantly more likely to be concurrent with anemia adverse reaction among both atrial fibrillation patients (pooled OR = 1.38, 95% CI 1.14-1.68, P-value = 0.001) and heart failure patients (pooled OR =1.50, 95% CI 1.33-1.59-, P =4.27×10^-5). We further explored previously published evidences and found 821 human genes directly or indirectly interacting with digoxin. Functional analysis indicated that these genes were significantly enriched in the biological processes of iron transport, which are closely related to iron deficiency anemia. Taken together, our retrospective analysis demonstrated the significant association between digoxin treatment and anemia adverse reaction, which should be seriously considered in clinical practice. Functional enrichment analysis on digoxin-related genes warranted subsequent research on the underlying toxicological mechanisms.

Effect of statins on blood pressure: Analysis on adverse events released by FDA

OBJECTIVE

As a class of cholesterol-lowering drugs, statins have been reported to cause unexpected decrease in blood pressure (BP). However, most studies in this issue were subject to inadequate study design or very small sample size. The present study was designed to examine the BP-lowering effect of various statins.

METHODS

Here we retrieved 5.9 million clinical reports submitted to FDA Adverse Event Reporting System (FAERS) from 2004 to 2015. Meta-analysis was performed to estimate the overall reporting odds ratio (ROR) of hypotension adverse events concurrent with various statins (i.e., atorvastatin, simvastatin, and rosuvastatin).

RESULTS

Comparing the reporting rate of hypotension event between statins and other drugs found that atorvastatin (pooled ROR = 1.26, adjusted p-value = 8.60 × 10^-4) and simvastatin (pooled ROR = 1.94, adjusted p-value = 4.16 × 10^-45) were significantly associated with reduction in BP. On the other hand, the association between rosuvastatin and hypotension was observed to be nonsignificant (adjusted p-value = 0.65).

CONCLUSION

To our knowledge, this is the first pooled analysis on large-scale data of adverse events to identify the BP-lowering effect of statins. The results will contribute to the development of novel statin-based antihypertensive therapies. In addition, the differential effects of individual statins can warrant subsequent research on the underlying mechanisms of BP control.

Azithromycin Causes a Novel Proarrhythmic Syndrome

BACKGROUND

The widely used macrolide antibiotic azithromycin increases risk of cardiovascular and sudden cardiac death, although the underlying mechanisms are unclear. Case reports, including the one we document here, demonstrate that azithromycin can cause rapid, polymorphic ventricular tachycardia in the absence of QT prolongation, indicating a novel proarrhythmic syndrome. We investigated the electrophysiological effects of azithromycin in vivo and in vitro using mice, cardiomyocytes, and human ion channels heterologously expressed in human embryonic kidney (HEK 293) and Chinese hamster ovary (CHO) cells.

METHODS AND RESULTS

In conscious telemetered mice, acute intraperitoneal and oral administration of azithromycin caused effects consistent with multi-ion channel block, with significant sinus slowing and increased PR, QRS, QT, and QTc intervals, as seen with azithromycin overdose. Similarly, in HL-1 cardiomyocytes, the drug slowed sinus automaticity, reduced phase 0 upstroke slope, and prolonged action potential duration. Acute exposure to azithromycin reduced peak SCN5A currents in HEK cells (IC₅₀=110±3 μmol/L) and Na⁺ current in mouse ventricular myocytes. However, with chronic (24 hour) exposure, azithromycin caused a ≈2-fold increase in both peak and late SCN5A currents, with findings confirmed for I_Na in cardiomyocytes. Mild block occurred for K⁺ currents representing I_Kr (CHO cells expressing hERG; IC₅₀=219±21 μmol/L) and I_Ks (CHO cells expressing KCNQ1+KCNE1; IC₅₀=184±12 μmol/L), whereas azithromycin suppressed L-type Ca⁺⁺ currents (rabbit ventricular myocytes, IC₅₀=66.5±4 μmol/L) and I_K1 (HEK cells expressing Kir2.1, IC₅₀=44±3 μmol/L).

CONCLUSIONS

Chronic exposure to azithromycin increases cardiac Na⁺ current to promote intracellular Na⁺ loading, providing a potential mechanistic basis for the novel form of proarrhythmia seen with this macrolide antibiotic.

Cardiac Arrest in Pediatric Patients Receiving Azithromycin

OBJECTIVE

To compare outcomes of pediatric patients treated with azithromycin compared with penicillin or cephalosporin. We hypothesized that azithromycin use would not be associated with increased cardiac mortality in the pediatric population.

STUDY DESIGN

Retrospective cohort study from the Pediatric Health Information System database between 2008 and 2012. Patients <19 years of age with a principal diagnosis of community-acquired pneumonia who received an antibiotic were included. Primary outcomes were cardiopulmonary resuscitation (CPR) and mortality. Secondary outcomes were ventricular arrhythmias incidences and readmission for ventricular arrhythmia. Statistical analysis was performed with the χ² test. Multivariable analysis was performed to control for potential confounders among patient, event, and treatment characteristics.

RESULTS

A total of 82 982 patients (54.3% males) met study criteria. Median age was 2.6 years (IQR 1.2-5.9 years) and median length of stay was 2 days (IQR 2-4 days). Azithromycin was used in 5039 (6.1%); penicillin or cephalosporin was used in 77 943 (93.9%). Overall prevalence of antibiotic-associated CPR was 0.14%. Patients receiving a macrolide antibiotic had a lower prevalence of CPR compared with patients receiving a penicillin or cephalosporin (0.04% vs 0.14%, P = .04), and there was no difference in mortality. Multivariable analysis did not find an association between macrolide use and CPR.

CONCLUSIONS

In contrast to recent adult studies, among children hospitalized for community-acquired pneumonia, azithromycin use was not associated with a greater prevalence of cardiac arrest compared with penicillin or cephalosporin use.

A Drug Safety Rating System Based on Postmarketing Costs Associated with Adverse Events and Patient Outcomes

BACKGROUND

Given the multiple limitations associated with relatively homogeneous preapproval clinical trials, inadequate data disclosures, slow reaction times from regulatory bodies, and deep-rooted bias against disclosing and publishing negative results, there is an acute need for the development of analytics that reflect drug safety in heterogeneous, real-world populations.

OBJECTIVE

To develop a drug safety statistic that estimates downstream medical costs associated with serious adverse events (AEs) and unfavorable patient outcomes associated with the use of 706 FDA-approved drugs.

METHODS

All primary suspect case reports for each drug were collected from the FDA's Adverse Event Reporting System database (FAERS) from 2010-2014. The Medical Dictionary for Regulatory Activities (MedDRA) was used to code serious AEs and outcomes, which were tallied for each case report. Medical costs associated with AEs and poor patient outcomes were derived from Agency for Healthcare Research and Quality (AHRQ) survey data, and their corresponding ICD-9-CM codes were mapped to MedDRA terms. Nonserious AEs and outcomes were not included. For each case report, either the highest AE cost or, if no eligible AE was listed, the highest outcome cost was used. All costed cases were aggregated for each drug and divided by the number of patients exposed to obtain a downstream estimated direct medical cost burden per exposure. Each drug was assigned a corresponding 1-100 point total.

RESULTS

The 706 drugs showed an exponential distribution of downstream costs, and the data were transformed using the natural log to approximate a normal distribution. The minimum score was 8.29, and the maximum score was 99.25, with a mean of 44.32. Drugs with the highest individual scores tended to be kinase inhibitors, thalidomide analogs, and endothelin receptor antagonists. When scores were analyzed across Established Pharmacologic Class (EPC), the kinase inhibitor and endothelin receptor antagonist classes had the highest total. However, other EPCs with median scores of 75 and above included hepatitis C virus NS3/4A protease inhibitor, recombinant human interferon beta, vascular endothelial growth factor-directed antibody, and tumor necrosis factor blocker. When Anatomical Therapeutic Chemical classifications were analyzed, antineoplastic drugs were outliers with approximately 80% of their individual scores 60 and above, while approximately 20%-30% of blood and anti-infective drugs had scores of 60 and above. Within-drug class results served to differentiate similar drugs. For example, 6 serotonin reuptake inhibitors had a score range of 35 to 53.

CONCLUSIONS

This scoring system is based on estimated direct medical costs associated with postmarketing AEs and poor patient outcomes and thereby helps fill a large information gap regarding drug safety in real-world patient populations.

Toxicological Differences Between NMDA Receptor Antagonists and Cholinesterase Inhibitors

Cholinesterase inhibitors (ChEIs), represented by donepezil, rivastigmine, and galantamine, used to be the only approved class of drugs for the treatment of Alzheimer's disease. After the approval of memantine by the Food and Drug Administration (FDA), N-methyl-d-aspartic acid (NMDA) receptor antagonists have been recognized by authorities and broadly used in the treatment of Alzheimer's disease. Along with complementary mechanisms of action, NMDA antagonists and ChEIs differ not only in therapeutic effects but also in adverse reactions, which is an important consideration in clinical drug use. And the number of patients using NMDA antagonists and ChEIs concomitantly has increased, making the matter more complicated. Here we used the FDA Adverse Event Reporting System for statistical analysis , in order to compare the adverse events of memantine and ChEIs. In general, the clinical evidence confirmed the safety advantages of memantine over ChEIs, reiterating the precautions of clinical drug use and the future direction of antidementia drug development.

The Impact of Opioids on Cardiac Electrophysiology

Synthetic opioid agents have been used in modern medicine for over a century and for opioid addiction treatment for over a half-century. Liberal use of opioids in the United States has been attended by an extraordinary increase in opioid-related mortality, with over 16,000 deaths in 2012. As there have been advances in opioid agents for pain and addiction, so have there been advances in our understanding of the cardiac effects of these agents. In the last 10 years, significant data regarding electrophysiologic effects of these agents have been collected. We aim in this review to discuss the effects on cardiac electrophysiology of the various opioid agents currently in use and the evidence that these effects are contributing to the rise in opioid-related mortality.

A thorough QT study to evaluate the QTc prolongation potential of two neuropsychiatric drugs, quetiapine and escitalopram, in healthy volunteers

Prolongation of the QT interval on an ECG is a surrogate marker for predicting the proarrhythmic potential of a drug under development. The aim of this study was to evaluate the QTc prolongation potential of two neuropsychiatric drugs, quetiapine immediate release (IR) and escitalopram, in healthy individuals. This was a randomized, open-label, 4×4 Williams crossover study, with four single-dose treatments [placebo, 400 mg moxifloxacin (positive control), 20 mg escitalopram, and 100 mg quetiapine IR], conducted in 40 healthy volunteers. Serial blood samples for pharmacokinetics and ECG were collected. Individually, RR-corrected QTc intervals (QTcI) and placebo-adjusted changes from baseline values of QTcI (ΔΔQTcI) were evaluated. Lower-bound values of the one-sided 95% confidence interval for ΔΔQTcI of moxifloxacin with more than 5 ms confirmed the sensitivity of the assay. The maximum upper bound 95% confidence interval for the ΔΔQTcI of quetiapine IR and escitalopram was 13.7 and 10.5 ms, with mean estimates of 10.2 and 6.9 ms, respectively. Peak effects of moxifloxacin and quetiapine IR on ΔΔQTcI were observed at approximately time to maximum concentration (Tmax), whereas that of escitalopram was observed 3 h after Tmax. The concentration-ΔΔQTcI relationships of quetiapine IR and escitalopram were relatively flat, as compared with that of moxifloxacin. The results demonstrated the validity of trial methodology and that quetiapine IR and escitalopram caused QT prolongation in healthy individuals. In addition, hysteresis of escitalopram-induced QTc prolongation. These results indicate that higher doses of these drugs could lead to greater QT prolongation in a dose-response manner.

Incidence of Sustained Ventricular Tachycardia in Patients with Prolonged QTc After the Administration of Azithromycin: A Retrospective Study

Background

Azithromycin has been associated with abnormalities of cardiac repolarization and development of torsades de pointes. Observational data suggest that the risk of death from cardiovascular causes is increased in patients taking azithromycin. Little is known regarding the risk of ventricular arrhythmia in patients with prolongation of the corrected QT interval who receive azithromycin.

Objective

The purpose of this study was to determine the incidence of sustained ventricular tachycardia in patients with prolonged corrected QT (QTc) who subsequently received azithromycin.

Methods

We performed a retrospective cohort analysis of the incidence of sustained ventricular tachycardia in patients with prolonged QTc (greater than 450 ms) who successively received intravenous (IV) and/or oral azithromycin. Patients hospitalized in a tertiary care teaching hospital between November 2009 and June 2012 were included in the study. The primary outcome was sustained ventricular tachycardia documented in patients on telemetry.

Results

Of the 103 patients enrolled in the study, only one patient experienced the primary outcome (0.97 %). The event occurred 1 day after the administration of a single dose of 500 mg IV azithromycin.

Conclusion

The risk of sustained ventricular tachycardia was 0.97 % in our cohort of patients with prolonged QTc who subsequently received azithromycin. Given the small size of this study, additional research is needed to determine the true incidence of arrhythmia in the population.