Genesis of an emergency public drug information website by the French Society of Pharmacology and Therapeutics during the COVID-19 pandemic

On March 16, 2020, the French Society of Pharmacology and Therapeutics put online a national Question and Answer (Q&A) website, https://sfpt-fr.org/covid19 on the proper use of drugs during the COVID‐19 pandemic. The working group ‘Drugs and COVID‐19’ was composed of a scientific council, an editorial team, and experts in the field. The first questions were posted online during the first evening of home‐confinement in France, March 17, 2020. Six weeks later, 140 Q&As have been posted. Questions on the controversial use of hydroxychloroquine and to a lesser extent concerning azithromycin have been the most consulted Q&As. Q&As have been consulted 226 014 times in 41 days. This large visibility was obtained through an early communication on Twitter, Facebook, traditional print, and web media. In addition, an early communication through the French Ministry of Health and the French National Agency for Medicines and Health Products Safety ANSM had a large impact in terms of daily number of views. There is a pressing need to sustain a public drug information service combining the expertise of scholarly pharmacology societies, pharmacovigilance network, and the Ministry of Health to quickly provide understandable, clear, expert answers to the general population’s concerns regarding COVID‐19 and drug use and to counter fake news.

Psychoactive substance use among students: A cross-sectional analysis

Little is known about psychoactive substance use in students, apart from tobacco, alcohol, and cannabis. This study investigated the prevalence of substance use and overlap between various psychoactive substances in students. This cross‐sectional study was conducted in 10 066 students included in the i‐Share cohort between January 1, 2015, and December 31, 2017. The baseline questionnaire was the key source of information. Psychoactive substances of interest (PSI) were cannabis, cocaine, amphetamines, nitrous oxide, poppers, and MDMA. Their patterns of use were categorized as lifetime, past year, and current use. The use of other psychoactive substances including alcohol and tobacco was described in PSI users and non‐users. Most participants were female (75%), and their average age was 21 years. Lifetime use of at least one PSI was reported by 65.5% of participants. Cannabis was the most frequently used substance both over lifetime (57% of students) and past year (35%), followed by poppers and nitrous oxide (28% and 26% of students over lifetime, respectively). Among polydrug users (n = 1242), 65% used only nitrous oxide and poppers, showing a strong link between these two substances. Regular alcohol use, binge drinking, and current tobacco use were higher in PSI users than in non‐users. Substance use was higher than previously found in both French and European studies in young people. Nitrous oxide use was particularly high. Regular alcohol use, binge drinking, and tobacco use could be used as markers to identify students at risk of PSI use to be targeted by prevention programs.

Pharmacological treatments of cardiovascular diseases: Evidence from real-life studies

The management of chronic cardiovascular diseases has evolved greatly in the last decades. Over the last thirty years, the management of acute coronary syndrome has improved, leading to an important lowering of the mortality in the acute phase of the event. Consequently, the optimal management of the secondary prevention of acute coronary syndrome has greatly evolved. Moreover, the increased number of pharmacological alternatives for patients affected by chronic heart failure and by non-valvular atrial fibrillation reserves a number of challenges for their correct management. Moreover, these diseases are without any reasonable doubt the largest contributor to global mortality in the present and will continue to be it in the future. The aim of this study was to provide the most updated information of the real-life drug use and their effectiveness. This review was performed to assess the potential knowledge gaps in the treatments of these diseases and to indicate potential perspective of pharmaco-epidemiological research in this area.

Emergency room admissions induced by drug-drug interactions in the elderly: a cross-sectional study

The elderly people are increasingly exposed to polymedication and therefore to the risks of drug–drug interactions (DDIs). However, there are few data available on the clinical consequences of these drug combinations. We investigated the impact of the various DDIs classified as severe in terms of emergency admissions in the elderly. A cross‐sectional study was conducted using information from the emergency department admissions of Bordeaux University Hospital between September 2016 and August 2017. Events of interest were frequency of concomitant uses of interacting drugs that are contraindicated or warned against and frequency of emergency admissions due to contraindicated or warned against concomitant uses of interacting drugs. Five thousand, eight hundred sixty (5860) admissions to the emergency department were analyzed. A total of 375 (6.4%) contraindicated or warned against concomitant uses were identified, including 163 contraindicated (43.5%) and 212 warned against (56.5%). Reason for admission appeared likely related to the underlying DDI in 58 cases. Within these, 36 admissions were assessed as probably due to a DDI (0.6% of hospitalizations) and 22 as certainly (0.4% of hospitalizations). Of these, there were 24 (45%) admissions related to a long QT syndrome (LQTS), nine (16%) related to a drug overdose, and eight (14%) related to a hemorrhage. An antidepressant was involved in 22 of the 24 cases of LQTS. Seven of the eight cases of hemorrhage involved the antithrombotic agents / non‐steroidal anti‐inflammatory drugs combination. Elderly patients admitted to emergency departments are particularly exposed to high‐risk potential DDIs. These drug combinations lead mainly to LQTS and involve certain antidepressants.

PRognostic factor of Early Death In phase II Trials or the end of 'sufficient life expectancy' as an inclusion criterion? (PREDIT model)

Background

Optimizing patient selection is a necessary step to design better clinical trials. ‘Life expectancy’ is a frequent inclusion criterion in phase II trial protocols, a measure that is subjective and often difficult to estimate. The aim of this study was to identify factors associated with early death in patients included in phase II studies.

Methods

We retrospectively collected medical records of patients with advanced solid tumors included in phase II trials in two French Comprehensive Cancer Centers (Bordeaux, Center 1 set; Lille, Center 2 set). We analyzed patients’ baseline characteristics. Predictive factors associated with early death (mortality at 3 months) were identified by logistic regression. We built a model (PREDIT, PRognostic factor of Early Death In phase II Trials) based on prognostic factors isolated from the final multivariate model.

Results

Center 1 and 2 sets included 303 and 227 patients, respectively. Patients from Center 1 and 2 sets differed in tumor site, urological (26 % vs 15 %) and gastrointestinal (18 % vs 28 %) and in lung metastasis incidence (10 % vs 49 %). Overall survival (OS) at 3 months was 88 % (95 % CI [83.5; 91.0], Center 1 set) and 91 % (95 % CI [86.7; 94.2], Center 2 set). Presence of a ‘life expectancy’ inclusion criterion did not improve the 3-month OS (HR 0.6, 95 % CI [0.2; 1.2], p = 0.2325). Independent factors of early death were an ECOG score of 2 (OR 13.3, 95%CI [4.1; 43.4]), hyperleukocytosis (OR 5.5, 95 % CI [1.9; 16.3]) and anemia (OR 2.8, 95 % CI [1.1; 7.1]). Same predictive factors but with different association levels were found in the Center 2 set. Using the Center 1 set, ROC analysis shows a good discrimination to predict early death (AUC: 0.89 at 3 months and 0.86 at 6 months).

Conclusions

Risk modeling in two independent cancer populations based on simple clinical parameters showed that baseline ECOG of 2, hyperleukocytosis and anemia are strong early-death predictive factors. This model allows identifying patients who may not benefit from a phase II trial investigational drug and may, therefore, represent a helpful tool to select patients for phase II trial entry.

Electronic supplementary material

The online version of this article (doi:10.1186/s12885-016-2819-7) contains supplementary material, which is available to authorized users.

What place for intelligent automation and artificial intelligence to preserve and strengthen vigilance expertise in the face of increasing declarations?

In 2018, the "Ateliers de Giens" (Giens Workshops) devoted a workshop to artificial intelligence (AI) and led its experts to confirm the potential contribution and theoretical benefit of AI in clinical research, pharmacovigilance, and in improving the efficiency of care. The 2022 workshop is a continuation of this reflection on AI and intelligent automation (IA) by focusing on its contribution to pharmacovigilance and the applications and tasks could be optimized to preserve and strengthen medical and pharmacological expertise in pharmacovigilance. The evolution of pharmacovigilance work is characterized by many tasks with low added value, a growing volume of pharmacovigilance reporting of suspected side effects, and a scarcity of medical staff with expertise in clinical pharmacology and pharmacovigilance and human resources to support this growing need. Together, these parameters contribute to an embolization of the pharmacovigilance system at risk of missing its primary mission: to identify and characterize a risk or even a health alert on a drug. The participants of the workshop (representatives of the Regional Pharmacovigilance Centres (CRPV), the French National Agency for Safety of Medicinal Products (ANSM), patients, the pharmaceutical industry, or start-ups working in the development of AI in the field of medicine) shared their experiences, their pilot projects and their expectations on the expected potential, theoretical or proven, AI and IA. This work has made it possible to identify the needs and challenges that AI or IA represent, in the current or future modes of organization of pharmacovigilance activities. This approach led to the development of a SWOT matrix (strengths, weaknesses, opportunities, threats), a basis for reflection to identify critical points and consider four main recommendations: (1) preserve and develop business expertise in pharmacovigilance (including research and development in methods) with the integration of new technologies; (2) improve the quality of pharmacovigilance reports; (3) adapt technical and regulatory means; (4) implement a development strategy for AI and IA tools at the service of expertise.