Funding informationAgence Nationale de Sécurité du Médicament et des produits de santé Aims: Adverse drug reactions (ADRs) are important causes of death. However, the main involved drugs are relatively unknown. The present study was performed to characterise death-related drugs recorded in a large pharmacovigilance database during the last 10 years.Methods: A retrospective analysis of VigiBase, the World Health Organization pharmacovigilance database, was performed investigating fatal ADRs registered between 1 January 2010 and 31 December 2019 in male and female patients aged ≥18 years and reported by physicians. Analyses were descriptive investigating age, sex and suspected drugs. Differences in reporting according to sex, age and continents were investigated using disproportionality analysis with calculation of reporting odds ratio and its 95% confidence interval.Results: Among the 23 millions ADRs recorded in VigiBase, 3 250 967 were included with 43 685 fatal. They were reported mainly in patients older than 75 years. The 3 most frequently involved drug classes were antineoplastic/immunomodulating drugs followed by nervous system and cardiac drugs. The top 3 individual drugs were denosumab, lenalidomide and thalidomide with marked differences according to age, sex, continents and countries. The risk of reporting fatal ADRs was higher in males, in the Americas and in patients ≥65 years. Conclusion:Fatal ADRs registered in a large pharmacovigilance database during the last 10 years correspond to just over 1% of the total number of ADRs. They occurred more in males, after 65 years and with antineoplastic/immunomodulating drugs in general. Our study also highlighted, for the first time, important differences in fatal ADRs between continents and countries.

Objectives To explore the frequent interaction between antiretroviral-boosting agents and corticosteroids causing Cushing’s syndrome (CS) in the French Pharmacovigilance Database (FPVD). Methods We conducted a retrospective case–control study describing CS recorded in the FPVD between 1996 and 2018. Case was defined as CS occurring in people living with HIV (PLWH) and control was defined as CS in uninfected individuals. Drug–drug interaction (DDI) was defined as an interaction between corticosteroids and CYP3A4 inhibitors. Data concerning the DDI, corticosteroids involved, route of administration and seriousness of the CS were described. Results Among the 139 instances of CS identified, 34/35 cases (97%) had DDIs (31 with ritonavir and 3 with cobicistat) and 7/104 controls (7%) had DDIs (6 with itraconazole and 1 with verapamil). The main corticosteroid involved was inhaled fluticasone (28/35, 80%) among the cases and oral prednisone (38/104, 37%) among the controls. More CS cases (30/35, 86%) than CS controls (62/104, 60%) were serious (OR = 4.0, 95% CI = 1.4–14.4; P = 0.007). Conclusions Antiretroviral-boosting agents were responsible for one out of four iatrogenic CS cases in a French national database. Prescribers should be aware of the risk of potentially serious DDIs between antiretroviral-boosting agents and corticosteroids, including single-tablet regimens containing cobicistat.

Purpose Some reports have described arterial hypertension (AH) in patients treated by serotonin reuptake inhibitor (SRI) or serotonin-norepinephrine reuptake inhibitor (SNRI) antidepressants. The mechanism remains discussed, some authors suggesting a role of SERT (SERotonin Transporter) inhibition whereas others discussing NET (NorEpinephrine Transporter) involvement. The present study used the pharmacoepidemiological-pharmacodynamic (PE-PD) method to investigate the role of these transporters in SRI-and SNRI-induced AH. Methods The study involved two successive approaches: first, a PE study (disproportionality analysis) investigating in VigiBase®, the World Health Organization Individual Case safety Report (ICSR) database, the relationships between exposure to SRI AND SNRI, and reports of AH. The primary analysis compared patients receiving one SRI (or one SNRI) with non-users. Secondary analyses were performed according to the pharmacological classes. Results are expressed as reporting odds ratios (ROR) with 95% CI and information component (IC), an indicator for disproportionate Bayesian reporting. Second, we performed a PD study using linear regression analyses to explore the association between the AH signal and binding affinities for NET and SERT (expressed as their pKi ratio) of SRIs and SNRIs. Results A significant ROR value was found for each individual SRI (except fluvoxamine) and each individual SNRI. ROR values were also significant for SRIs and SNRIs in general with higher values for SNRIs than for SRIs. Similar trends were found using IC. A significant correlation was found between the signal of AH and the NET/SERT pKi ratio (y = 6.57x -2.55, R 2 = 0.68, Pearson coefficient correlation = 0.82). Conclusion The present study found a positive association between the NET/SERT pKi ratio and the occurrence of arterial hypertension with SRI and SNRI antidepressants. These results are important for the selection of antidepressants in hypertensive and/or at risk depressive patients as well as for future development of antidepressants devoid of hypertensive effect.

Several papers have described hyponatraemia with tramadol. However, in most reports, several confounding factors can be found. We used the WHO pharmacovigilance database (VigiBase®) to investigate if tramadol alone could be associated with hyponatraemia. All 1992–2019 ICSRs (individual case safety reports) with the preferred term (PT) “hyponatraemia” and tramadol were included. Two disproportionality analyses were performed: (1) after inclusion of all reports, and (2) after exclusion of concomitant hyponatraemic drugs. Results are expressed as reporting odds ratios (ROR; 95% CI) and information component (IC). Of 19 747 604 ICSRs, 225 575 were included. A significant association was found between tramadol use and reports of hyponatraemia (ROR = 1.49 [1.39–1.60], IC = 0.57 [IC025 = 0.47]). After exclusion of hyponatraemic drugs, the previously found association disappeared. The study failed to find any pharmacovigilance signal of hyponatraemia with tramadol alone. We suggest that reports of hyponatraemia with tramadol can be explained principally by other underlying causes of hyponatraemia, especially other concomitant hyponatraemic drugs.