dc.description.abstract | Background The body responsible for monitoring drug safety in Kenya is the Pharmacy and
Poisons Board (PPB). One of the methods for tracking the safety of medicines is through
information submitted in spontaneous adverse event reports. These reports are technically
known as individual case safety reports (ICSRs) and are submitted by health care workers, drug
consumers and other interested parties such as lawyers and lobby groups. In order for potential
signals of new adverse reactions to be effectively detected, these reports must contain all the
relevant patient and drug information as well as a description of the adverse event. One of the
potential areas for signal detection is the relationship between antiretroviral therapy and
cardiovascular diseases (CVDs). Cardiovascular diseases are some of the major causes of death
and morbidity among Human Immunodeficiency Virus (HIV) patients. While various studies
have been done to assess the relationship between antiretroviral therapy (ART) and
cardiovascular diseases, few have utilized pharmacovigilance databases to evaluate this link.
Disproportionality analysis is one of the methods for detecting potential new signals using
spontaneous reports databases.
Objective: The objective of the study was to identify the trend of quality of Kenyan individual
case safety reports (ICSRs) submitted to the World Health Organizations’s (WHO) global
spontaneous adverse events database, VigiBase. The study also sought to identify safety signals
for cardiac arrhythmias associated with the use of antiretroviral drugs in HIV patients.
Moreover, the study aimed to evaluate for potential drug-drug interactions between
antiretroviral (ARV) drugs and some selected cardiovascular (CVS) agents.
Methods: The study was divided into two parts. The first part encompassed a time series
analysis of the completeness score of Kenyan adverse events reports on VigiBase. The average
quarterly scores were subjected to interrupted generalized linear regression analysis using R
programming software. The second part involved an exploratory analysis of cardiac
arrhythmias associated with the use of antiretroviral drugs as well as an evaluation of possible
drug interactions between ARVs and selected cardiovascular agents. Disproportionality
analysis of the Food and Drug Administration Adverse Event Reporting System (FAERS)
database was used to identify signals between antiretroviral drugs and arrhythmia. Data for
disproportionality analysis was retrieved through customized queries using the AERSMine
platform. Assessment of potential drug-drug interactions was done by customizing the search
terms to include the Boolean operator “AND”. Addition of this operator enabled the data
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mining tool to capture only the adverse events reported with the concomitant use of the drugs
under evaluation.
Results: A total of 11,270 Kenyan individual case safety reports (ICSRs) were retrieved from
VigiBase. Reports from Nairobi (15.4%), Uasin Gishu (11%), Migori (10.5%), Kisumu (7.4%)
and Kiambu (6.2%) constituted the highest proportion of the database. Most of the reports
involved antiretroviral drugs (79%), anti-tuberculosis medications (6.6%), antibiotics (5.5%)
and anticancer medications (2.2%). There was an initial drop in the quality of reports during
early reporting period followed by a big improvement with the completeness score peaking at
around 0.66 by the end of 2014. This was followed by a period of declining quality which later
took an upward trajectory. The highest score recorded was 0.74 which was achieved in the last
quarter of 2017. Interrupted time series analysis of the quality revealed a major change point
in the fourth quarter of 2012. In the period following this event, the average quarterly
completeness scores increased by 0.055 ± 0.017 (p = 0.003). A total of 11, 919, 342 reports in
the FAERS database were evaluated. A strong association was found between some ARV drugs
and cardiac arrhythmia. The strongest signals identified were for foetal and neonatal
arrhythmias, tachyarrhythmia and ventricular arrhythmias. With regard to bradycardia and
bradyarrhythmia in HIV patients on ARVs, the signals were only significant for zalcitabine,
lopinavir/ritonavir and nelfinavir. The strongest signal for tachyarrhythmias was recorded in
delavirdine (>4). Protease inhibitors produced relatively strong signals for torsade de pointes
with indinavir, saquinavir, nelfinavir and fosemprenavir all having signals of more than two.
Efavirenz, nelfinavir and raltegravir also exhibited a strong signal for ventricular arrhythmia.
For all the ARVs in which sinus node dysfunction was reported, the signal was more than 2.
Potentially toxic drug-drug interactions between protease inhibitors, non-nucleoside reverse
transcriptase inhibitors (NNRTIs) and selected cardiovascular agents were also observed. The
adverse events that exhibited the strongest signals with regard to these suspected interactions
include sinus tachycardia and QT interval prolongation.
Conclusion and recommendations: The quality of Kenyan adverse event reports has
stagnated at a score of about 70%. Continued pharmacovigilance training of health care
workers and consumers is therefore required to achieve further improvement in the quality of
reporting. The study also established that some antiretroviral drugs may have arrhythmic
adverse events. These potential signals require further investigation using more rigorous
research methods such as cohort event monitoring. | en_US |
dc.description.department | a
Department of Psychiatry, University of Nairobi, ; bDepartment of Mental Health, School of Medicine,
Moi University, Eldoret, Kenya | |