Signal of Gastrointestinal Congenital Malformations with Antipsychotics After Minimising Competition Bias: A Disproportionality Analysis Using Data from Vigibase®

Cholinesterase inhibitors-associated torsade de pointes/QT prolongation: a real-world pharmacovigilance study

Objective: Cholinesterase inhibitor (ChEIs) is the first-line drug for Alzheimer's disease (AD). Understanding torsade de pointes (TdP)/QT prolongation with different ChEIs is essential for its safe and rational administration. This study aimed to evaluate the correlation between different ChEIs and TdP/QT prolongation. Methods: All ChEIs related TdP/QT prolongation cases were retrieved from the FAERS database using standard MedDRA query (SMQ) from the first quarter of 2004 to the third quarter of 2022. Disproportionality and sensitivity analysis were used to determine the signal of TdP/QT prolongation related to ChEIs. Results: 557 cases of TdP/QT prolongation related to 3 ChEIs were searched by SMQ. The patients were mostly elderly people, with markedly more female than male. The signals of TdP/QT prolongation for ChEIs were detected by disproportionality analysis, and the signal of Donepezil was the strongest. The sensitivity analysis results indicate a robust and stable correlation between these signals with ChEIs. TdP/QT prolongation usually occurs within 1 month after taking ChEIs. The drug with the highest frequency of combination with donepezil and galantamine is citalopram, and the drug with the highest frequency of combination with rivastigmine is atorvastatin. Conclusion: The signals of TdP/QT prolongation related to ChEIs were strong and stable. It is necessary to be vigilant about the TdP/QT prolongation of various ChEIs, especially in elderly women, the initial stage after taking ChEIs, and when ChEIs combining with drugs that could prolong the QT interval.

An Exploratory Study of the Impact of COVID-19 Vaccine Spontaneous Reporting on Masking Signal Detection in EudraVigilance

INTRODUCTION

During the signal detection process, statistical methods are used to identify drug-event combinations (DECs) which are disproportionately reported when compared with other drugs and events in the entire database. We hypothesise that the high volume of COVID-19 vaccine adverse drug reaction (ADR) reports transmitted to EudraVigilance may have affected the performance of disproportionality statistics used in routine signal detection, potentially resulting in signals either being masked, or false associations being flagged as potential signals.

OBJECTIVE

Our aim was to study the impact of COVID-19 vaccine spontaneous reporting on statistical signal detection in EudraVigilance.

METHODS

We recalculated the reporting odds ratio (ROR) for signals that were previously discussed at the level of the Pharmacovigilance Risk Assessment Committee, or signals that were retrieved from EudraVigilance, by omitting COVID-19 vaccine reports from the standard ROR calculation and then comparing the lower confidence interval (LCI) of the recalculated ROR to the LCI of the actual ROR in EudraVigilance.

RESULTS

In total, 52 signals for 38 active substances were reviewed. For 35 signals, the LCI of the recalculated ROR value was lower than the LCI of the actual ROR (suggesting that COVID-19 vaccine ADR reporting had a positive effect on the strength of the signal) while for 15 signals the LCI of the recalculated ROR value was higher than the LCI of the actual ROR (suggesting that COVID-19 vaccine ADR reporting had an attenuating effect on the strength of the signal). For two signals, no change in the ROR was observed. In our analysis, six significant results were found. Five DECs were found to be masked: bleomycin and immune thrombocytopenia (actual ROR LCI = 0.94, recalculated ROR LCI = 1.02), vortioxetine and heavy menstrual bleeding (actual ROR LCI = 0.3, recalculated ROR LCI = 1.06), caplacizumab and heavy menstrual bleeding (actual ROR LCI = 0.98, recalculated ROR LCI = 3.47), ziprasidone and amenorrhoea (actual ROR LCI = 0.84, recalculated ROR LCI = 1.67), and azacitidine and pericarditis (actual ROR LCI = 0.81, recalculated ROR LCI = 2.01). For the DEC of adalimumab and immune reconstitution inflammatory syndrome, the LCI of the actual ROR value was 1.14 and removing COVID-19 vaccine reporting resulted in an LCI of the recalculated ROR value of 0.94 (below threshold).

CONCLUSIONS

We demonstrated five cases of masking and one case of false-positive association due to the influence of COVID-19 vaccine spontaneous reporting on the ROR. This suggests that the high number of adverse drug reaction reports for COVID-19 vaccines in EudraVigilance has the potential to affect routine statistical signal detection activities. The impact of COVID-19 vaccine ADR reports on current signal detection practices requires further evaluation and solutions to tackle masking issues in EudraVigilance may need to be developed.

Prophylactic Management of Women With Bipolar Disorder During Pregnancy and the Perinatal Period: Clinical Scenario-Based Practical Recommendations From A Group of Perinatal Psychiatry Authors

ABSTRACT

Many women with bipolar disorder experience episodes of illness or relapses over the perinatal period, especially in the immediate postpartum period. Risks associated with treated/untreated psychopathologies and fetal exposure to bipolar medications make the management of bipolar disorder during these periods challenging for clinicians and patients. In light of the available effectiveness and reproductive safety data, the current clinical update based on the opinions of a group of international perinatal psychiatry authors recommends general considerations and specific management strategies for each possible clinical scenario, including mixed features, predominant polarity, diagnosis of subtypes of bipolar disorder, severity of previous episodes, and risk of recurrence of mood episodes.

Safety profile of monoclonal antibodies targeting the calcitonin gene-related peptide system in pregnancy: Updated analysis in VigiBase®

BACKGROUND

Safety data on the use of migraine preventive monoclonal antibodies targeting the calcitonin gene-related peptide (CGRP) system in pregnancy are limited.

METHODS

Updated pharmacovigilance assessment of the safety reports related to pregnancy associated with erenumab, galcanezumab, fremanezumab and eptinezumab, retrieved from VigiBase® as of 31 December 2021. As primary outcome, the whole group of monoclonal antibodies targeting the CGRP system was considered and sex and age subgroup disproportionality analyses using the reporting odds ratio (ROR) were conducted.

RESULTS

286 safety reports were found: 116 (40.6%) on erenumab, 125 (43.7%) on galcanezumab, 39 (13.6%) on fremanezumab, 6 (2.1%) on eptinezumab. One hundred and forty-nine (52.1%) safety reports reported only drug exposure in relation to pregnancy while 137 (47.9%) also included ≥1 pregnancy outcomes: maternal outcomes (n = 64), spontaneous abortion (n = 63), foetal growth restriction (n = 1), prematurity (n = 8), neonatal outcomes (n = 13), and poor breastfeeding (n = 1). No specific patterns of maternal, foetal and neonatal toxicity were observed. Spontaneous abortion was not disproportionally more frequently reported with erenumab, galcanezumab, fremanezumab and eptinezumab compared with the entire database (ROR 1.1, 95% confidence interval, CI, 0.8-1.5), the entire database since 2018 (ROR 1.3, 95% CI 1.0-1.8), and triptans (ROR 1.2, 95% CI 0.8-1.9).

CONCLUSIONS

This updated safety analysis on erenumab, galcanezumab, fremanezumab and eptinezumab in pregnancy showed no signals of foeto-maternal toxicity according to VigiBase® safety reports.

Association of In Utero Antipsychotic Medication Exposure With Risk of Congenital Malformations in Nordic Countries and the US

Importance

Psychiatric disorders are common among female individuals of reproductive age. While antipsychotic medication use is increasing, the safety of such medications in pregnancy is an area with large evidence gaps.

Objective

To evaluate the risk of first-trimester antipsychotic exposure with respect to congenital malformations, focusing on individual drugs and specific malformation subtypes.

Design, Setting, and Participants

This cohort study used data from nationwide health registers from the 5 Nordic countries and the US and spanned 1996 to 2018. The Nordic cohort included all pregnancies resulting in singleton live-born infants, and the US cohort consisted of publicly insured mothers linked to their live-born infants nested in the nationwide Medicaid Analytic eXtract. Data were analyzed from November 2020 to April 2022.

Exposures

One or more first-trimester dispensing of any atypical, any typical, and individual antipsychotic drugs.

Main Outcomes and Measures

Any major congenital malformation and specific malformation subtypes previously suggested to be associated with antipsychotic exposure in utero: cardiovascular malformations, oral clefts, neural tube defects, hip dysplasia, limb reduction defects, anorectal atresia/stenosis, gastroschisis, hydrocephalus, other specific brain anomalies, and esophageal disorders. Propensity score stratification was used to control for potential confounders. Pooled adjusted estimates were calculated using indirect standardization.

Results

A total of 6 455 324 unexposed mothers (mean maternal age range across countries: 24-31 years), 21 751 mothers exposed to atypical antipsychotic drugs (mean age range, 26-31 years), and 6371 mothers exposed to typical antipsychotic drugs (mean age range, 27-32 years) were included in the study cohort. Prevalence of any major malformation was 2.7% (95% CI, 2.7%-2.8%) in unexposed infants, 4.3% (95% CI, 4.1%-4.6%) in infants with atypical antipsychotic drug exposure, and 3.1% (95% CI, 2.7%-3.5%) in infants with typical antipsychotic drug exposure in utero. Among the most prevalent exposure-outcome combinations, adjusted relative risks (aRR) were generally close to the null. One exception was olanzapine exposure and oral cleft (aRR, 2.1 [95% CI, 1.1-4.3]); however, estimates varied across sensitivity analyses. Among moderately prevalent combinations, increased risks were observed for gastroschisis and other specific brain anomalies after atypical antipsychotic exposure (aRR, 1.5 [95% CI, 0.8-2.6] and 1.9 [95% CI, 1.1-3.0]) and for cardiac malformations after chlorprothixene exposure (aRR, 1.6 [95% CI, 1.0-2.7]). While the association direction was consistent across sensitivity analyses, confidence intervals were wide, prohibiting firm conclusions.

Conclusions and Relevance

In this study, considering the evidence from primary and sensitivity analyses and inevitable statistical noise for very rare exposure-outcome combinations, in utero antipsychotic exposure generally was not meaningfully associated with an increased risk of malformations. The observed increased risks of oral clefts associated with olanzapine, gastroschisis, and other specific brain anomalies with atypical antipsychotics and cardiac malformations with chlorprothixene requires confirmation as evidence continues to accumulate.

Immune Checkpoint Inhibitors and Pregnancy: Analysis of the VigiBase® Spontaneous Reporting System

In pregnancy, immune checkpoint pathways are involved in the maintenance of fetomaternal immune tolerance. Preclinical studies have shown that immune checkpoint inhibitors (ICIs) increase the risk of fetal death. Despite the fact that using ICIs in pregnant women and women of childbearing potential is not recommended, some case reports of ICI exposure in pregnancy have been published showing favorable fetal outcomes. This study aimed to gain further insight into ICI safety in pregnancy by querying VigiBase^®, the World Health Organization's spontaneous reporting system. We performed raw and subgroup disproportionality analyses using the reporting odds ratio and comparing ICIs with the entire database, other antineoplastic agents, and other antineoplastic agents gathered in VigiBase^® since 2011. Across 103 safety reports referring to ICI exposure during the peri-pregnancy period, 56 reported pregnancy-related outcomes, of which 46 were without concomitant drugs as potential confounding factors. No signals of disproportionate reporting were found for spontaneous abortion, fetal growth restriction, and prematurity. In light of the expanding indications of ICIs, continuous surveillance by clinicians and pharmacovigilance experts is warranted, along with pharmacoepidemiological studies on other sources of real-world evidence, such as birth records, to precisely assess ICI exposure during the peri-pregnancy period and further characterize relevant outcomes.

The Impact of Serotonin Transporter Binding Affinity on the Risk of Bleeding Related to Antidepressants

PURPOSE/BACKGROUND

The alleged primary mechanism underlying bleeding events associated with antidepressants is inhibition of serotonin uptake in platelets resulting in reduced platelet aggregability and activity, and prolonged bleeding time. There is some evidence that a substance's degree of serotonin reuptake inhibition in terms of its binding affinity to the serotonin transporter (SERT) affects the magnitude of bleeding risk increase.

METHODS/PROCEDURE

To test this hypothesis, we performed data mining in the worldwide largest pharmacovigilance database (VigiBase) and conducted pharmacodynamically informed quantitative signal detection. Reporting odds ratios related to the standardized Medical Dictionary of Regulatory Activities query term "haemorrhages" and 24 antidepressants were calculated, and SERT binding affinities (pKi) were obtained and correlated (Pearson correlation).

FINDINGS/RESULTS

A strong and statistically significant correlation between substance-related reporting odds ratios and SERT binding affinities was found (r = 0.63; 95% confidence interval, 0.30-0.82; P = 0.00097).

IMPLICATIONS/CONCLUSIONS

Our findings strengthen the hypothesis that inhibition of serotonin uptake contributes to the antidepressant-related bleeding risk and suggest an association between the degree of the SERT binding affinity and the bleeding risk. This supports the preferential use of antidepressants with low or no SERT binding affinity in depressed patients at risk of bleeding.

Signal Detection in EUROmediCAT: Identification and Evaluation of Medication-Congenital Anomaly Associations and Use of VigiBase as a Complementary Source of Reference

INTRODUCTION

Knowledge on the safety of medication use during pregnancy is often sparse. Pregnant women are generally excluded from clinical trials, and there is a dependence on post-marketing surveillance to identify teratogenic medications.

AIMS

This study aimed to identify signals of potentially teratogenic medications using EUROmediCAT registry data on medication exposure in pregnancies with a congenital anomaly, and to investigate the use of VigiBase reports of adverse events of medications in the evaluation of these signals.

METHODS

Signals of medication-congenital anomaly associations were identified in EUROmediCAT (21,636 congenital anomaly cases with 32,619 medication exposures), then investigated in a subset of VigiBase (45,749 cases and 165,121 exposures), by reviewing statistical reporting patterns and VigiBase case reports. Evidence from the literature and quantitative and qualitative aspects of both datasets were considered before recommending signals as warranting further independent investigation.

RESULTS

EUROmediCAT analysis identified 49 signals of medication-congenital anomaly associations. Incorporating investigation in VigiBase and the literature, these were categorised as follows: four non-specific medications; 11 likely due to maternal disease; 11 well-established teratogens; two reviewed in previous EUROmediCAT studies with limited additional evidence; and 13 with insufficient basis for recommending follow-up. Independent investigations are recommended for eight signals: pregnen (4) derivatives with limb reduction; nitrofuran derivatives with cleft palate and patent ductus arteriosus; salicylic acid and derivatives with atresia or stenosis of other parts of the small intestine and tetralogy of Fallot; carbamazepine with atrioventricular septal defect and severe congenital heart defect; and selective beta-2-adrenoreceptor agonists with posterior urethral valve and/or prune belly.

CONCLUSION

EUROmediCAT data should continue to be used for signal detection, accompanied by information from VigiBase and review of the existing literature to prioritise signals for further independent evaluation.

Factors Influencing Regulatory Decision-Making in Signal Management: Analysis Based on the Signals Identified from the FAERS

PURPOSE

This study aimed to identify factors that influence the decision to take safety regulatory actions in routine signal management based on spontaneous reports. For this purpose, we analyzed the safety signals identified from the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) and related information.

METHOD

From the signals that the FDA identified in the FAERS between 2008 1Q and 2014 4Q, we selected 216 signals for which regulatory action was or was not taken. Characteristics of the signals were extracted from the FAERS quarterly reports that give information about what signals were identified from the FAERS and what actions were taken for them, and the FAERS data released in the same quarter when the signal was published. Univariate and multivariable logistic regression analysis was used to assess the relationship between the characteristics of each of the signals and the decision on regulatory action.

RESULT

As a result of the univariate logistic regression analysis, we selected 5 factors (positive rechallenge, number of cases accumulated in the last one-year period before the signal indication, previous awareness, serious outcome, risk for special populations) to include in the multivariable logistic regression model (p < 0.2). The multivariate logistic regression analysis showed that the number of cases accumulated in the last one-year period before the signal indication and previous awareness were associated with the regulatory action (p < 0.05).

CONCLUSION

The present study showed that number of cases accumulated in the last one-year period before the signal indication and previous awareness potentially associated with the United States regulatory action. When assessing safety signals, we should be careful of the adverse events with a large number of cases accumulated rapidly in a short period. In addition, we should pay attention to new information on not only unknown risks but also previously identified and potential risks.

Safety of antipsychotic drugs: A systematic review of disproportionality analysis studies

Antipsychotic drugs are commonly prescribed, mainly for the treatment of schizophrenia and other psychotic disorders. Disproportionality analysis of pharmacovigilance data from national and international databases have been recently utilized to investigate the side-effect profiles of antipsychotics and have provided unique insights of their safety. Among several national and international spontaneous reporting databases the databases of the World Health Organization (VigiBase), of the European Medicines Agency (EudraVigilance) and the US Food and Drug Administration (FAERS) incorporate millions of Individual Case Safety Reports. The aim of our study was to systematically review published disproportionality analyses on antipsychotic drugs, in order to summarize the current state of methodology and potential strengths of this analysis while highlighting safety signal generated for these pharmacological group. PubMed was searched using a search algorithm combining terms for antipsychotic drugs and disproportionality analysis. A total of 39 articles were found to be eligible corresponding to 38 original disproportionality studies. Different measures of disproportionality were used in each study: reporting odds ratio (ROR), proportional reporting ratio (PRR), empirical Bayes geometric mean (EBGM) and the information component (IC). Despite the inherent limitations of the pharmacovigilance databases disproportionality analysis provides complemented evidence from RCTs on the safety of antipsychotics, especially regarding participants often excluded from RCTs, such as pregnant and breastfeeding women, children and participants with drug abuse, comorbidities or concomitant medications.

Adverse drug reaction risks obtained from meta-analyses and pharmacovigilance disproportionality analyses are correlated in most cases

OBJECTIVE

We aimed at testing if a correlation between adverse drug reactions relative risks estimated from meta-analyses and disproportionality analyses calculated from pharmacovigilance spontaneous reporting systems databases exist, and if methodological choices modify this correlation.

STUDY DESIGN

We extracted adverse drug reactions (ADR) odds ratios (ORs) from meta-analyses used as reference and calculated corresponding Reporting Odds Ratios (RORs) from the WHO pharmacovigilance database according to five different designs. We also calculated the relative bias and agreement of ROR compared to ORs.

RESULTS

We selected five meta-analyses which displayed a panel of 13 ADRs. A significant correlation for 7 out of the 13 ADRs studied in the primary analysis was found. The methods for ROR calculation impacted the results but none systematically improved the correlations. Whereas correlation was found between OR and ROR, agreement was poor and relative bias was important.

CONCLUSION

Despite the large variation in disproportionality analyses results due to design specification, this study provides further evidence that relative risks obtained from meta-analyses and from disproportionality analyses correlate in most cases, in particular for objective ADR not associated with the underlying pathology.

Towards personalized pharmacology: Antipsychotics and schizophrenia

Since the discovery of the first antipsychotic in 1952, many antipsychotic drugs have been developed, each with different pharmacokinetic and pharmacodynamic properties. The pharmacological heterogeneity of antipsychotic drugs should allow a personalized drug prescription adapted to the different clinical picture of schizophrenia. Schizophrenia is a chronic disease, during which 3 stages of pharmacological intervention can be identified: the first episode psychotic (FEP), the phase of therapeutic stabilization that can progress to situations of resistance, and the question of long-term prescription. During FEP, the choice of the first antipsychotic treatment seems to be underpinned by its safety profile in relation to the patient for whom it is prescribed, according to the adage start low and go-slow. The therapeutic stabilization phase is based on treatment optimization through a rigorous evaluation of the benefits-harm balance, with the use of tools such as personalized therapeutic drug monitoring and pharmacogenetics. Generally speaking, while some antipsychotic drugs seem to present a more favorable efficacy profile in certain situations, the differences are small, whereas the differences in safety are more important and should be considered in the first line. Individual factors such as the presence of co-morbidities, as well as previously experienced treatments must also be taken into account. Finally, the question of maintaining the prescription of antipsychotic drugs over the long term arises in view of the iatrogenic risk with controversial current data. Overall, the personalized prescription of antipsychotic drugs in schizophrenia remains limited by a lack of data in the literature, justifying the development of clinical studies in this field. But at present, the dogma remains that of primum non nocere.

A stratification method based on clustering for the minimization of data masking effect in signal detection

Background

Data masking is an inborn defect of measures of disproportionality in adverse drug reactions (ADRs) signal detection. Many previous studies can be roughly classified into three categories: data removal, regression and stratification. However, frequency differences of adverse drug events (ADEs) reports, which would be an important factor of masking, were not considered in these methods. The aim of this study is to explore a novel stratification method for minimizing the impact of frequency differences on real signals masking.

Methods

Reports in the Chinese Spontaneous Reporting Database (CSRD) between 2010 and 2011 were selected. The overall dataset was stratified into some clusters by the frequency of drugs, ADRs, and drug-event combinations (DECs) in sequence. K-means clustering was used to conduct stratification according to data distribution characteristics. The Information Component (IC) was adopted for signal detection in each cluster respectively. By extracting ADRs from drug product labeling, a reference database was introduced for performance evaluation based on Recall, Precision and F-measure. In addition, some DECs from the Adverse Drug Reactions Information Bulletin (ADRIB) issued by CFDA were collected for further reliability evaluation.

Results

With stratification, the study dataset was divided into 21 clusters, among which the frequency of DRUGs, ADRs or DECs followed the similar order of magnitude respectively. Recall increased by 34.95% from 29.93 to 40.39%, Precision reduced by 10.52% from 54.56 to 48.82%, while F-measure increased by 14.39% from 38.65 to 44.21%. According to ADRIB after 2011, 5 DECs related to Potassium Magnesium Aspartate, 61 DECs related to Levofloxacin Hydrochloride and 26 DECs related to Cefazolin were highlighted.

Conclusions

The proposed method is effectively and reliably for the minimization of data masking effect in signal detection. Considering the decrease of Precision, it is suggested to be a supplement rather than an alternative to non-stratification method.

Atypical antipsychotic use during pregnancy and birth defect risk: National Birth Defects Prevention Study, 1997-2011

PURPOSE

To examine the prevalence of, and factors associated with, atypical antipsychotic use among U.S. pregnant women, and potential associations between early pregnancy atypical antipsychotic use and risk for 14 birth defects.

METHODS

We analyzed data from the National Birth Defects Prevention Study (1997-2011), a U.S. population-based case-control study examining risk factors for major structural birth defects.

RESULTS

Atypical antipsychotic use during pregnancy was more common among women with pre-pregnancy obesity, and women who reported illicit drug use before and during pregnancy, smoking during pregnancy, alcohol use during pregnancy, or use of other psychiatric medications during pregnancy. We observed elevated associations (defined as a crude odds ratio [cOR] ≥2.0) between early pregnancy atypical antipsychotic use and conotruncal heart defects (6 exposed cases; cOR: 2.3, 95% confidence interval [CI]: 0.9-6.1), and more specifically Tetralogy of Fallot (3 exposed cases; cOR: 2.5, 95% CI: 0.7-8.8), cleft palate (4 exposed cases, cOR: 2.5, 95% CI: 0.8-7.6), anorectal atresia/stenosis (3 exposed cases, cOR: 2.8, 95% CI: 0.8-9.9), and gastroschisis (3 exposed cases, cOR: 2.1, 95% CI: 0.6-7.3).

CONCLUSIONS

Our findings support the close clinical monitoring of pregnant women using atypical antipsychotics. Women treated with atypical antipsychotics generally access healthcare services before pregnancy; efforts to reduce correlates of atypical antipsychotic use might improve maternal and infant health in this population.

Safe Expectations: Current State and Future Directions for Medication Safety in Pregnancy Research

Medication use in pregnancy is common, but information about the safety of most medications in pregnant women or their infants is limited. In the absence of data from randomized clinical trials to guide decisions made by regulators, clinicians, and patients, we often have to rely on well-designed observational studies to generate valid evidence about the benefits and risks of medications in pregnancy. Spontaneous reporting, primary case-control and cohort studies, pregnancy exposure registries, and electronic health data have been used extensively for studying medication safety in pregnancy. This article discusses these data sources, their strengths and limitations, and possible strategies and approaches to mitigating limitations when planning studies or interpreting findings from the literature. Strategies discussed include combining data sources across institutional or national borders, developing and using more sophisticated study designs, and taking advantage of existing analytic methods for more complex data structures, such as time-varying exposure or unmeasured confounding. Finally, we make recommendations for study designs that aid in better risk-related communication.

Surveillance of Drug Safety During Pregnancy: Insight in Current International Activities, Future Intentions and Need for Support of National Pharmacovigilance Centres

INTRODUCTION

Surveillance of drug safety during pregnancy is a special interest of pharmacovigilance (PV). The role that national PV centres take in this field is, however, unclear.

AIM

The aim of this study was to provide insight into current activities, future intentions and need for support of national PV centres in the field of drug safety during pregnancy.

METHOD

A web-based questionnaire was used to ask PV centres about their current activities concerning the surveillance of drug safety during pregnancy, their intentions to implement or improve activities and need for support. For these three main topics, questions were posed about spontaneous adverse drug reaction (ADR) reporting, additional activities to obtain information, signal detection and informing healthcare professionals and the public.

RESULTS

The questionnaire was sent to PV centres of 172 countries. Response was 40%. In general, the PV centres received limited numbers of reports of ADRs in the (unborn) child, related to drug exposure during pregnancy. Signal detection in pregnancy cases is carried out by 8 out of 58 PV centres (13.5%). Most PV centres mention they have intentions to implement or improve activities, mainly for spontaneous reporting (69.4%) and methods for signal detection (67.2%). Support was needed for all topics of the questionnaire.

CONCLUSION

Current activities of national PV centres concerning drug safety during pregnancy are limited. The majority of PV centres are, however, willing to improve or implement activities. Programmes should be set up in order to support and stimulate PV centres with these activities. The aim of all these activities is to increase knowledge about the safety of drugs during pregnancy.

Interest of pharmacoepidemiology for the study of psychotropic drugs

In psychiatry, drug evaluation using pharmacoepidemiological methods has been of growing interest in recent decades. Studies based on observational databases are particularly useful for psychotropic drugs due to their important prevalence in populations, and their use over long period. The authors discussed the specific interest of pharmacoepidemiological studies in the field of psychiatry through two examples: first, the use of antidepressants, and, second, the risks associated with antipsychotics.

Pharmacoepidemiology in pregnancy

Taking a medication is usually a challenge for a pregnant woman as the beneficial drug effect on the mother has to be considered regarding its potential adverse effects, not only for her but also for her unborn child. As medication use is common in pregnant women, by chance or necessity, it gives the opportunity to evaluate the consequences of prenatal drug exposure in real life through pharmacoepidemiological studies. This paper provides an overview of data sources, study designs and data analysis methods that can be used for pregnancy medication safety studies. In the future, the implementation of responsive international networks may be the keystones of drug evaluation in pregnancy.

Use of Antipsychotic Drugs During Pregnancy

Purpose of review

Antipsychotics are frequently prescribed to women of childbearing age and are increasingly prescribed during pregnancy. A small, but growing, body of research on implications for pregnancy and infant outcomes is available to inform the risks and benefits of in utero exposure to antipsychotics. This review examines the existing published research on the use of common typical and atypical antipsychotics in pregnancy and the implications for pregnancy and infant outcomes.

Recent findings

The majority of studies do not show associations with major malformations and antipsychotic use in pregnancy, with the possible exception of risperidone. There is concern that atypical antipsychotics may be associated with gestational diabetes. Metabolic changes during pregnancy may necessitate dose adjustments.

Summary

In general, it is recommended that women who need to take an antipsychotic during pregnancy continue the antipsychotic that has been most effective for symptom remission. Further study on risperidone is needed to better understand its association with malformations and it is not considered a first-line agent for use during pregnancy.

Drug-induced Stevens-Johnson syndrome and toxic epidermal necrolysis in vietnamese spontaneous adverse drug reaction database: A subgroup approach to disproportionality analysis

WHAT IS KNOWN AND OBJECTIVE

Despite the numerous studies investigating drug-induced Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN), the understanding and quantitative data in developing countries remain limited. The study aimed to describe and quantify the drug-related risk of SJS/TEN in a resource-limited context using the Vietnamese spontaneous reporting database (VSRD) of adverse drug reactions.

METHODS

Spontaneous reports relating to medium- and late-onset severe cutaneous adverse reactions (MLOSCAR) and SJS/TEN recorded in the VSRD from 2010 to 2015 were retrospectively analysed. The demographic characteristics and drug information were described and compared between SJS/TEN and other MLOSCAR reports. The drug-induced SJS/TEN signals were estimated using subgrouped disproportionality analysis with calculation of the reporting odds ratio (ROR) and the respective 95% confidence interval (CI).

RESULTS

The VSRD received 2,849 MLOSCAR reports, 136 of which focus on SJS/TEN over a 6-year period. About 60% of SJS/TEN patients were male, and the majority of them were adults (mean age 42.5 ± 22.9). Up to 91.8% of drugs induced SJS/TEN within 1-28 days, and 45% SJS/TEN cases were evaluated as life-threatening. Positive signals were generated with carbamazepine (n = 25, ROR [95% CI] = 11.99 [7.07-19.92]), allopurinol (n = 15, ROR [95% CI] = 4.2 [2.20-7.59]), traditional/herbal medicines (n = 7, ROR [95% CI] = 2.76 [1.12-5.86]), colchicine (n = 4, ROR [95% CI] = 6.22 [1.69-18.72]), valproic acid (n = 3, ROR [95% CI] = 8.71 [1.89-30.19]) and meloxicam (n = 3, ROR [95% CI] = 7.09 [1.55-24.29]), which are well known for SJS/TEN. Cefixime (n = 5, ROR [95% CI] = 3.34 [1.13-8.00]) and paracetamol (n = 22, ROR [95% CI] = 5.23 [3.10-8.49]) also generated positive signals despite their popularity in Vietnam.

WHAT IS NEW AND CONCLUSION

This first Vietnamese population-based study has highlighted original characteristics and signals of drug-induced SJS/TEN, which are relatively consistent with other worldwide data and typical for a developing country.

Comparative Safety of Drugs Targeting the Nitric Oxide Pathway in Pulmonary Hypertension: A Mixed Approach Combining a Meta-Analysis of Clinical Trials and a Disproportionality Analysis From the World Health Organization Pharmacovigilance Database

BACKGROUND

Recent guidelines recommend riociguat, a soluble guanylate cyclase (sGC) stimulator, and the type 5 phosphodiesterase inhibitor (PDE5i) tadalafil or sildenafil as treatments for pulmonary arterial hypertension. We compared the safety profiles of sildenafil, tadalafil, and riociguat in pulmonary hypertension.

METHODS

We combined two approaches. First, we performed a meta-analysis of safety data extracted from randomized controlled trials. Second, we conducted a disproportionality analysis of data from VigiBase, the World Health Organization's global database of individual case safety reports, to compare the safety profiles with real-life data.

RESULTS

In the meta-analysis, a significant difference between the three drugs was only detected for gastrointestinal disorders, in disfavor of riociguat (P < .01 for interaction). In the disproportionality analysis, the use of riociguat was associated with fewer reports of visual disorders but increased reporting of gastrointestinal, hemorrhagic, and musculoskeletal disorders compared with sildenafil and tadalafil. Pharmacovigilance signals of hearing/vestibular disorders were heterogeneous: vestibular disorders (dizziness) were reported more frequently for riociguat, whereas hearing disorders (deafness) were reported less frequently compared with PDE5is.

CONCLUSIONS

The safety profiles of PDE5is and sGC stimulators significantly differ in pulmonary hypertension. Accordingly, there is a safety rationale in switching between PDE5is and sGC stimulators because of their different side effects.

TRIAL REGISTRY

PROSPERO; No.: CRD42016051986; URL: https://www.crd.york.ac.uk/prospero/.

The importance of pharmacoepidemiology in pregnancy-implications for safety

INTRODUCTION

Prescription of medications to pregnant women is usually a challenge as the drug benefit has to be considered regarding its potential adverse effects. As medication use is common in pregnant women, by chance or necessity, it gives the opportunity to evaluate the consequences of prenatal drug exposure in real life through pharmacoepidemiologic studies. Area covered: Data sources are numerous. Some of them have been created for the particular purpose of assessing medications during pregnancy. Augmented databases enable the study of delayed effects in late childhood and provide information on potential confounders. Each data source exhibits strengths and weaknesses. Several designs can be used to assess the safety of medications during pregnancy. Innovative designs have been developed in order to bypass major limits of classical methods. Expert opinion: An efficient system could follow up each pregnant woman, who had taken a medication, and consider her as a precious information for the knowledge of drug potential adverse actions against the child, who must be followed up to identify long term-effects. The diversity of data sources and approaches of pharmacoepidemiologic studies, the implementation of international networks as well as the improvement of adverse signal detection are the keystones of such an evaluation.

A mathematical framework to quantify the masking effect associated with the confidence intervals of measures of disproportionality

BACKGROUND

The lower bound of the 95% confidence interval of measures of disproportionality (Lower95CI) is widely used in signal detection. Masking is a statistical issue by which true signals of disproportionate reporting are hidden by the presence of other medicines. The primary objective of our study is to develop and validate a mathematical framework for assessing the masking effect of Lower95CI.

METHODS

We have developed our new algorithm based on the masking ratio (MR) developed for the measures of disproportionality. A MR for the Lower95CI (MRCI) is proposed. A simulation study to validate this algorithm was also conducted.

RESULTS

We have established the existence of a very close mathematical relation between MR and MRCI. For a given drug-event pair, the same product will be responsible for the highest masking effect with the measure of disproportionality and its Lower95CI. The extent of masking is likely to be very similar across the two methods. An important proportion of identical drug-event associations affected by the presence of an important masking effect is revealed by the unmasking exercise, whether the proportional reporting ratio (PRR) or its confidence interval are used.

CONCLUSION

The detection of the masking effect of Lower95CI can be automated. The real benefits of this unmasking in terms of new true-positive signals (rate of true-positive/false-positive) or time gained by the revealing of signals using this method have not been fully assessed. These benefits should be demonstrated in the context of prospective studies.

Psychopharmacological treatment of schizophrenia during pregnancy and lactation

PURPOSE OF REVIEW

It is necessary, in every-day clinical life when treating pregnant women with mental diseases, to reach quick decisions derived from recent comprehensive information. The knowledge of the use of antipsychotics in pregnancy has increased considerably in the last years. This review tries to summarize important considerations and facilitate clinical decisions.

RECENT FINDINGS

This review will cover not only the effects of exposure during pregnancy on outcomes, postnatal adaption syndrome and lactation, but also pharmacokinetic considerations on the use of antipsychotics during pregnancy.

SUMMARY

The recent publications have found only minimally increased risks for certain malformations, after using ever more sophisticated statistical models of analysis and reassuring amounts of data. Taken together, the quality of the studies has greatly improved and the results are reassuring with respect to the safety of the use of antipsychotics during pregnancy. The rates of weight gain and gestational diabetes warrant closer attention in the clinical setting.