Outbreak of Vibrio cholerae, Mayotte, France, April to July 2024.

On 22 April 2024, a locally-acquired case of cholera was confirmed in Mayotte. Subsequently, local transmission resulted in eight outbreak clusters with 221 notified cases in densely populated neighbourhoods with limited or no access to drinking water. The last case was detected on 12 July. A case-area targeted intervention strategy was applied to contain the outbreak. However, improving access to drinking water and basic sanitation is crucial to prevent further exposure.

Safety Monitoring of COVID-19 Vaccines: Perspective from the European Medicines Agency.

Prior to deployment of coronavirus disease 2019 (COVID-19) vaccines in the European Union in 2021, a high vaccine uptake leading to an unprecedented volume of safety data from spontaneous reports and real-world evidence, was anticipated. The European Medicines Agency (EMA) implemented specific activities to ensure enhanced monitoring of emerging vaccine safety information, including intensive monitoring of reports of adverse events of special interest and the use of observed-to-expected analyses. The EMA also commissioned several independent observational studies using a large network of electronic healthcare databases and primary data collection via mobile and web-based applications. This preparedness was key for two high-profile safety signals: thrombosis with thrombocytopenia syndrome (TTS), a new clinical entity associated with adenovirus-vectored vaccines, and myocarditis/pericarditis with messenger RNA vaccines. With no existing case definition nor background rates, the signal of TTS posed particular challenges. Nevertheless, it was rapidly identified, evaluated, contextualized and the risk minimized thanks to close surveillance and an efficient use of available evidence, clinical expertise and flexible regulatory tools. The two signals illustrated the complementarity between spontaneous and real-world data, the former enabling rapid risk identification and communication, the latter enabling further characterization. The COVID-19 pandemic has tremendously enhanced the development of tools and methods to harness the unprecedented volume of safety data generated for the vaccines. Areas for further improvement include the need for better and harmonized data collection across Member States (e.g., stratified vaccine exposure) to support signal evaluation in all population groups, risk contextualization, and safety communication.

Epidemiological profile of COVID-19 in the French overseas department Mayotte, 2020 to 2021.

BackgroundDuring the COVID-19 pandemic, national and local measures were implemented on the island of Mayotte, a French overseas department in the Indian Ocean with critical socioeconomic and health indicators.AimWe aimed to describe the COVID-19 outbreak in Mayotte from March 2020 to March 2021, with two waves from 9 March to 31 December 2020 and from 1 January to 14 March 2021, linked to Beta (20H/501Y.V2) variant.MethodsTo understand and assess the dynamic and the severity of the COVID-19 outbreak in Mayotte, surveillance and investigation/contact tracing systems were set up including virological, epidemiological, hospitalisation and mortality indicators.ResultsIn total, 18,131 cases were laboratory confirmed, with PCR or RAT. During the first wave, incidence rate (IR) peaked in week 19 2020 (133/100,000). New hospitalisations peaked in week 20 (54 patients, including seven to ICU). Testing rate increased tenfold during the second wave. Between mid-December 2020 and mid-January 2021, IR doubled (851/100,000 in week 5 2021) and positivity rate tripled (28% in week 6 2021). SARS-CoV-2 Beta variant (Pangolin B.1.351) was detected in more than 80% of positive samples. Hospital admissions peaked in week 6 2021 with 225 patients, including 30 to ICU.ConclusionThis massive second wave could be linked to the high transmissibility of the Beta variant. The increase in the number of cases has naturally led to a higher number of severe cases and an overburdening of the hospital. This study shows the value of a real-time epidemiological surveillance for better understanding crisis situations.

An Application of Machine Learning in Pharmacovigilance: Estimating Likely Patient Genotype From Phenotypical Manifestations of Fluoropyrimidine Toxicity.

Dihydropyrimidine dehydrogenase (DPD)-deficient patients might only become aware of their genotype after exposure to dihydropyrimidines, if testing is performed. Case reports to pharmacovigilance databases might only contain phenotypical manifestations of DPD, without information on the genotype. This poses a difficulty in estimating the cases due to DPD. Auto machine learning models were developed to train patterns of phenotypical manifestations of toxicity, which were then used as a surrogate to estimate the number of cases of DPD-related toxicity. Results indicate that between 8,878 (7.0%) and 16,549 (13.1%) patients have a profile similar to DPD deficient status. Results of the analysis of variable importance match the known end-organ damage of DPD-related toxicity, however, accuracies in the range of 90% suggest presence of overfitting, thus, results need to be interpreted carefully. This study shows the potential for use of machine learning in the regulatory context but additional studies are required to better understand regulatory applicability.

Time trends of period prevalence rates of patients with inhaled long-acting beta-2-agonists-containing prescriptions: a European comparative database study.

BACKGROUND: Inhaled, long-acting beta-2-adrenoceptor agonists (LABA) have well-established roles in asthma and/or COPD treatment. Drug utilisation patterns for LABA have been described, but few studies have directly compared LABA use in different countries. We aimed to compare the prevalence of LABA-containing prescriptions in five European countries using a standardised methodology. METHODS: A common study protocol was applied to seven European healthcare record databases (Denmark, Germany, Spain, the Netherlands (2), and the UK (2)) to calculate crude and age- and sex-standardised annual period prevalence rates (PPRs) of LABA-containing prescriptions from 2002-2009. Annual PPRs were stratified by sex, age, and indication (asthma, COPD, asthma and COPD). RESULTS: From 2002-2009, age- and sex-standardised PPRs of patients with LABA-containing medications increased in all databases (58.2%-185.1%). Highest PPRs were found in men ≥ 80 years old and women 70-79 years old. Regarding the three indications, the highest age- and sex-standardised PPRs in all databases were found in patients with "asthma and COPD" but with large inter-country variation. In those with asthma or COPD, lower PPRs and smaller inter-country variations were found. For all three indications, PPRs for LABA-containing prescriptions increased with age. CONCLUSIONS: Using a standardised protocol that allowed direct inter-country comparisons, we found highest rates of LABA-containing prescriptions in elderly patients and distinct differences in the increased utilisation of LABA-containing prescriptions within the study period throughout the five European countries.

Autoimmune disorders after immunisation with Influenza A/H1N1 vaccines with and without adjuvant: EudraVigilance data and literature review.

All suspected autoimmune disorders (AID) reported as adverse reactions to EudraVigilance from 1 October 2009 to 31 December 2010 for adjuvanted (Celtura™, Fluval P™, Focetria™ and Pandemrix™) and non-adjuvanted (Cantgrip™, Celvapan™ and Panenza™) pandemic Influenza A/H1N1 vaccines were analysed to determine whether adjuvanted vaccines were associated with higher reporting of AID than non-adjuvanted ones. AID were identified based on the corresponding MedDRA High Level Group Term. Reports of type 1 diabetes mellitus and multiple sclerosis were also included in the analysis. Causality was assessed based on WHO causality assessment for adverse events following immunisation and Brighton Collaboration criteria for Guillain-Barré syndrome (GBS), idiopathic thrombocytopenic purpura and acute disseminated encephalomyelitis. Of the 50,221 adverse reactions received in EudraVigilance for A/H1N1 vaccines (adjuvanted: 46,173, non-adjuvanted: 4048), 314 were AID (adjuvanted: 276, non-adjuvanted: 38). GBS was the AID with the highest number of reports (125, adjuvanted: 109, non-adjuvanted: 16). Reporting ratios as calculated by the percentages of AID amongst all reported adverse reactions were 0.60% (95% CI: 0.53-0.67) and 0.94% (95% CI: 0.64-1.24) for adjuvanted and non-adjuvanted vaccines, and were 0.26% (95% CI: 0.22-0.31) and 0.37% (95% CI: 0.18-0.56) in a restricted analysis based on diagnostic certainty, causal relationship and plausible temporal association. Reporting rates for all reports of AID using the estimated number of vaccinees as denominator were 6.87 (95% CI: 6.06-7.68) and 9.98 (95% CI: 6.81-13.16) per million for adjuvanted and non-adjuvanted vaccines, and 3.01 (95% CI: 2.47-3.55) and 3.94 (95% CI: 1.95-5.94) per million in the restricted analysis. These results do not suggest a difference in the reporting of AID between adjuvanted and non-adjuvanted A/H1N1 vaccines. In a literature review performed on 31 August 2011, GBS was also the AID the most frequently discussed in association with A/H1N1 vaccination; reporting rates were generally within expected background rates.