A tailor-made approach for causality assessment for ADR reports on drugs and vaccines

PURPOSE: To estimate causation of adverse drug reaction (ADR) reports, causality methods were developed from a theoretical perspective. In daily practice, not all information is relevant or available, decreasing the applicability. We developed a new causality documentation tool (CausDoc) where an algorithm is combined with expert judgement. The aim of this study is to test the validity and reliability of CausDoc for ADR reports on drugs and vaccines. METHODS: CausDoc provides 9 structured relevant questions. If information is available, an answer will be chosen. If not, the question is excluded. Causality outcome is based on the sum score of all answers divided by the included questions: ≤30%: unlikely, 31% to 70%: possible, 71% to 90%: probable, and >90%: certain. Other relevant information is taken into account by expert judgement in the final step by adjusting the outcome to a limited extent. After testing face validity on 12 ADR reports, sensitivity and specificity were tested on 40 ADR reports, compared with the Naranjo algorithm and WHO AEFI criteria, using the expert panel's judgements as a standard. Inter-rater reliability was tested using weighted Cohen kappa coefficient. RESULTS: Average sensitivity and specificity with CausDoc were 47% and 83% for drugs (29% and 78% with Naranjo) and 72% and 89% for vaccines (65% and 87% with WHO AEFI criteria). Reliability between the 2 couples of assessors: κ 0.48 and 0.75. CONCLUSIONS: CausDoc shows a better performance and allows for a better documentation of ADRs in clinical practice. This approach is useful in assessing the causality of adverse drug reactions

Syndrome of inappropriate antidiuretic hormone secretion (SIADH) or hyponatraemia associated with valproic Acid:four case reports from the Netherlands and a case/non-case analysis of vigibase

The Netherlands Pharmacovigilance Centre Lareb received four cases of severe symptomatic hyponatraemia or syndrome of inappropriate antidiuretic hormone secretion (SIADH) in association with valproic acid use, in which a causal relationship was suspected. This study describes these cases and gives support for this association from Vigibase, the adverse drug reaction (ADR) database of the WHO Collaborating Centre for International Drug Monitoring, the Uppsala Monitoring Centre. Cases of hyponatraemia in valproic acid users are described. In a case/non-case analysis, the strength of the association between reported cases of hyponatraemia and the use of valproic acid in Vigibase was established by calculating a reporting odds ratio, adjusted for possible confounding by concomitant medication. Four females aged 57, 67, 71 and 88 years developed symptomatic hyponatraemia or SIADH after starting valproic acid. Despite concomitant medication or co-morbidity, a causal relationship was plausible. In Vigibase, valproic acid is disproportionally associated with hyponatraemia and SIADH (corrected reporting odds ratio 1.83 [95% CI 1.61, 2.08]). Based on the described cases and the reports from Vigibase, a causal relationship between valproic acid use and hyponatraemia or SIADH can be suspected. The mechanism by which valproic acid could cause hyponatraemia or SIADH has not been fully elucidated. Valproic acid use could lead to reduced sensitivity of hypothalamic osmoreceptors. It also might directly affect tubular cell function, thereby leading to SIADH. It might be expected that a combination of effects on the osmoreceptors and a lack of compensation of the salt-water unbalance by the nephrons causes SIADH in some patients using valproic acid. It could be a dose- or concentration-related adverse effect. In this report, severe symptomatic hyponatraemia and SIADH have been associated with the use of valproic acid. With this study, not only is the number of published cases doubled, but also the data from Vigibase strongly support the association. Since hyponatraemia and SIADH have a high morbidity, health professionals should be aware of this potential ADR