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Abstract Background Confidence in vaccines is essential for achieving targeted immunization coverage. The current skepticism about vaccine safety feeds on controversies such as the suspicion about a link between hepatitis B (HB) vaccination and central demyelination (CD) after the massive HB immunization campaign in France in 1994–2000. This study assesses the robustness of this signal by analysing all validated cases reported in 1980–2000 and by conducting observed-to-expected (OE) comparisons. Methods After characterizing case profiles, reporting rates per 1,000,000 vaccine doses sold were computed for the period and per year. OE comparisons were conducted by using individual-based and person-year approaches and were stratified by gender. Finding A total of 624CD cases including 422 incident cases of multiple sclerosis (MS) were reported over 20 years. Women accounted for 73.2% (n = 457). Mean age was 29.8 years (SD = 11.1). Incidence of events peaked in 1995–1996 and 1997, these years accounting for 59.8% (n = 373) of cases. Events were mainly reported after booster doses (46.3%, n = 289). The overall reporting rate was 6.5 per 1,000,000 doses sold. The OE analyses produced inconclusive results, the number of observed cases remaining below the expected number. Conclusions The complete disjunction between target and joint populations in the 1990s French HB immunization campaign created an unpreceded situation with ∼26 million of adults exposed at the age of MS onset. Two findings are noteworthy: the non-random distribution of reports according to the rank of vaccination or years of survey, and the fact that the number of reports sometimes approached the baseline incidence of MS, irrespective of underreporting. While the nature of the link remains unclear, our results are not consistent with a strong association between HB vaccine and MS. Current recommendations targeting newborns with a possible catch-up of at-risk adults should remain the preferred strategy in low-endemic countries. [ABSTRACT FROM AUTHOR]

The article informs that bankruptcies and social plans expected in many sectors with correctness and courage of political choices and economic factors of the disaster. Topics include incredible concerns misuse of the drug and its consequences; and the domain of health, remember that the emergency plan for the public hospital of the hospital debt.

Introduction: Hepatitis B (HB) vaccination programs were set up worldwide in the early 1990s. Despite their major focus on reducing the burden of HB infection, they have seldom achieved the targeted population coverage in most countries, including the USA, with around 24.5% of adults being vaccinated against HB. Among proposed reasons for this is the persisting doubt about a possible link between HB vaccination and the occurrence of cases of multiple sclerosis (MS).Objective: Our objective was to evaluate a potential safety signal between MS and HB vaccination. We conducted a disproportionality analysis (DPA) using the cases reported to the Vaccine Adverse Event Reporting System (VAERS).Methods: We calculated the proportional reporting rate (PRR) and reporting odds ratio (ROR) of MS having occurred within the 120 days following HB immunization in adults aged 19-49 years when compared with other vaccines using the reports recorded in the VAERS database. Both ratios were estimated globally and then according to the origin of reports (USA vs. non-USA). We then performed a sensitivity analysis using a broader category of demyelinating events.Findings: MS cases following HB vaccination were more likely to originate from outside the USA and to be reported before 2000 than those associated with other immunizations. All computed ratios were found to be statistically significant, with PRRs ranging from 3.48 to 5.56 and RORs ranging from 3.48 to 5.62. When considering the geographical origin, similar RORs were obtained for both US and non-US cases.Conclusion: In VAERS, MS cases were up to five times more likely to be reported after an HB vaccination than after any other vaccination. Since DPA is mainly suited for hypothesis generation, further studies evaluating the nature of the link between MS and HB vaccination would be of considerable importance. [ABSTRACT FROM AUTHOR]

Introduction: Signal detection from healthcare databases is possible, but is not yet used for routine surveillance of drug safety. One challenge is to develop methods for selecting signals that should be assessed with priority.Aim: The aim of this study was to develop an automated system combining safety signal detection and prioritization from healthcare databases and applicable to drugs used in chronic diseases.Methods: Patients present in the French EGB healthcare database for at least 1 year between 2005 and 2015 were considered. Noninsulin glucose-lowering drugs (NIGLDs) were selected as a case study, and hospitalization data were used to select important medical events (IME). Signal detection was performed quarterly from 2008 to 2015 using sequence symmetry analysis. NIGLD/IME associations were screened if one or more exposed case was identified in the quarter, and three or more exposed cases were identified in the population at the date of screening. Detected signals were prioritized using the Longitudinal-SNIP (L-SNIP) algorithm based on strength (S), novelty (N), and potential impact of signal (I), and pattern of drug use (P). Signals scored in the top 10% were identified as of high priority. A reference set was built based on NIGLD summaries of product characteristics (SPCs) to compute the performance of the developed system.Results: A total of 815 associations were screened and 241 (29.6%) were detected as signals; among these, 58 (24.1%) were prioritized. The performance for signal detection was sensitivity = 47%; specificity = 80%; positive predictive value (PPV) 33%; negative predictive value = 82%. The use of the L-SNIP algorithm increased the early identification of positive controls, restricted to those mentioned in the SPCs after 2008: PPV = 100% versus PPV = 14% with its non-use. The system revealed a strong new signal with dipeptidylpeptidase-4 inhibitors and venous thromboembolism.Conclusion: The developed system seems promising for the routine use of healthcare data for safety surveillance of drugs used in chronic diseases. [ABSTRACT FROM AUTHOR]

This is a joint statement from individual pharmacology and pharmaceutical professionals acting in their own capacity, including members of the Alliance for Clinical Research Excellence and Safety (ACRES) and the International Society of Pharmacovigilance (ISoP). By building on the extensive pharmacological and regulatory investigations that already take place, we are calling for a fuller and more robust systems-based approach to the independent investigation of clinical research when serious incidents of harm occur, starting with first-in-human clinical trials. To complement existing activities and regulations, we propose an additional approach blending evidence derived from both pharmacological and organizational science, which addresses human factors and transparency, to enhance organizational learning and continuous improvement. As happens with investigations in other sectors of society, such as the chemical and aviation sector, this systems approach should be seen as an additional way to understand how problems occur and how they might be prevented in the future. We believe that repetition of potentially preventable and adverse outcomes during clinical research, by failing to identify and act upon all systematic vulnerabilities, is a situation that needs urgent change. As we will discuss further on, approaches based on applying systems theory and human factors are much more likely to improve objectivity and transparency, leading to better system design. [ABSTRACT FROM AUTHOR]

Since adverse drug reactions are a major public health concern, early detection of drug safety signals has become a top priority for regulatory agencies and the pharmaceutical industry. Quantitative methods for analyzing spontaneous reporting material recorded in pharmacovigilance databases through data mining have been proposed in the last decades and are increasingly used to flag potential safety problems. While automated data mining is motivated by the usually huge size of pharmacovigilance databases, it does not systematically produce relevant alerts. Moreover, each detected signal requires appropriate assessment that may involve investigation of the whole therapeutic class. The goal of this article is to provide a methodology for comparing two detected signals. It is nested within the automated surveillance framework as (1) no extra information is required and (2) no simple inference on the actual risks can be extrapolated from spontaneous reporting data. We designed our methodology on the basis of two classical methods used for automated signal detection: the Bayesian Gamma Poisson Shrinker and the frequentist Proportional Reporting Ratio. A simulation study was conducted to assess the performances of both proposed methods. The latter were used to compare cardiovascular signals for two HIV treatments from the French pharmacovigilance database. [ABSTRACT FROM AUTHOR]

The objective of this article was to examine the possible association between benzodiazepine use and the risk of dementia in the elderly. This was a nested case–control study set in community settings in Bordeaux area, France. The participants were a representative sample of 3,777 elderly persons (65 years of age and older) followed from 1989 to 1997. The main outcome measures were the use of benzodiazepines in incident cases of dementia versus nondemented controls. On the basis of medical and psychological data, 150 patients were diagnosed with dementia according to the criteria of the third revision of the Diagnostic and Statistical Manual of Mental Disorders. Information on benzodiazepine use was obtained by face-to-face interview and visual assessment of patient''s medicine chest by a trained neuropsychologist. After controlling for age, gender, education level, living alone, wine consumption, psychiatric history, and depressive symptomatology, ever use of benzodiazepines was associated with a significantly increased risk of dementia [adjusted odds ratio (OR), 1.7; 95% confidence interval, 1.2–2.4]. Former use was associated with a significantly increased risk of dementia (adjusted OR, 2.3; 95% CI,1.2–4.5). No association was found between dementia and the current use of benzodiazepines (adjusted OR, 1.0; 95% CI, 0.6–1.6). Our finding suggest that former use of benzodiazepines could be a risk factor for dementia, but more detailed investigation are needed. [Copyright &y& Elsevier]

Background: Prescribing of antibiotics for upper respiratory tract infections (URTI) varies substantially in primary care. Objectives: To describe and compare antibiotic and antipyretic/anti-inflammatory drugs use, URTI symptoms' resolution and occurrence of potentially-associated infections in patients seeking care from general practitioners (GPs) who exclusively prescribe conventional medications (GP-CM), regularly prescribe homeopathy within a mixed practice (GP-Mx), or are certified homeopathic GPs (GP-Ho). Method: The EPI3 survey was a nationwide population-based study of a representative sample of 825 GPs and their patients in France (2007–2008). GP recruitment was stratified by self-declared homeopathic prescribing preferences. Adults and children with confirmed URTI were asked to participate in a standardized telephone interview at inclusion, one-, three- and twelve-month follow up. Study outcomes included medication consumption, URTI symptoms' resolution and potentially-associated infections (sinusitis or otitis media/externa) as reported by patients. Analyses included calibration to account for non-respondents and groups were compared using multivate analyses adjusting for baseline differences with a propensity score. Results: 518 adults and children with URTI (79.3% rhinopharyngitis) were included (36.9% response rate comparable between groups). As opposed to GP-CM patients, patients in the GP-Ho group showed significantly lower consumption of antibiotics (Odds ratio (OR) = 0.43, 95% confidence interval (CI): 0.27–0.68) and antipyretic/anti-inflammatory drugs (OR = 0.54, 95% CI: 0.38–0.76) with similar evolution in related symptoms (OR = 1.16, 95% CI: 0.64–2.10). An excess of potentially-associated infections (OR = 1.70, 95% CI: 0.90–3.20) was observed in the GP-Ho group (not statistically significant). No difference was found between GP-CM and GP-Mx patients. Conclusion: Patients who chose to consult GPs certified in homeopathy used less antibiotics and antipyretic/anti-inflammatory drugs for URTI than those seen by GPs prescribing conventional medications. No difference was observed in patients consulting GPs within mixed-practice. A non-statistically significant excess was estimated through modelling for associated infections in the GP-Ho group and needs to be further studied. [ABSTRACT FROM AUTHOR]

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • Metabolic disturbances represent a well-known side effect of second generation antipsychotics. However, studies comparing second generation antipsychotic drugs (SGAPs) and first generation antipsychotic drugs (FGAPs) through administrative databases have shown contrasting findings, which may be attributable to methodological differences. WHAT THIS PAPER ADDS • The definition of antipsychotic exposure impacts on the association between antipsychotics and metabolic risk in studies carried out through administrative databases. • Considering cumulative exposure to antipsychotics or including patients exposed to an antipsychotic drug for months or years is likely to over-represent patients who tolerate the drug well with a depletion of susceptible effects. • Antipsychotic drug exposure is a time-varying determinant and episodes of no use, past use and current use should be distinguished over the study period to avoid any misclassification bias that might lead to misleading findings. AIMS To assess the influence of three definitions of antipsychotic exposure on the comparison between first generation (FGAP) and second generation (SGAP) antipsychotic drugs and 'conventional' mood stabilizers towards the risk of metabolic events using (i) a dichotomous measure (exposed/non-exposed over the follow-up), (ii) a categorical measure taking into account the chronology of exposure at the time of the metabolic event (current, recent and no use) and (iii) a continuous measure (cumulative duration). METHODS A historical fixed cohort was identified from the 2004-2006 claims database of the French health insurance programme for self-employed workers, including 3172 patients aged 18 years and over who used conventional mood stabilizers over a 3 month period. A metabolic event was defined as an incident dispensing of an anti-diabetic or lipid-lowering drug. RESULTS A metabolic event occurred in 367 patients (11.6%). At least one FGAP had been prescribed in 29% of patients who did not develop a metabolic event and in 22% of patients who developed a metabolic event. In addition, at least one SGAP had been prescribed in 12% of patients who did not develop a metabolic event and in 7% of patients who developed a metabolic event. Compared with conventional mood stabilizers, the risk of a metabolic event was negatively associated with exposure to SGAPs over the follow-up period (HR 0.53, 95% CI 0.34, 0.82, P= 0.004), positively associated with recent, but not current, exposure to SGAPs (HR 2.1, 95% CI 1.2, 3.7, P= 0.006) and not associated with cumulative duration of SGAPs (HR 1.001, 95% CI 0.999, 1.003, P= 0.20). CONCLUSIONS The definition of exposure to antipsychotics in epidemiological studies exploring their metabolic impact is of paramount importance in understanding this association. Different definitions can lead to opposite and seemingly nonsensical results. Not taking into account past exposure, in order to minimize the depletion of susceptible effects, may lead to absurd results. [ABSTRACT FROM AUTHOR]

Background: There is a paucity of information describing patients with musculoskeletal disorders (MSDs) using complementary and alternative medicines (CAMs) and almost none distinguishing homeopathy from other CAMs. The objective of this study was to describe and compare patients with MSDs who consulted primary care physicians, either certified homeopaths (Ho) or regular prescribers of CAMs in a mixed practice (Mx), to those consulting physicians who strictly practice conventional medicine (CM), with regard to the severity of their MSD expressed as chronicity, co-morbidity and quality of life (QOL). Methods: The EPI3-LASER study was a nationwide observational survey of a representative sample of general practitioners and their patients in France. The sampling strategy ensured a sufficient number of GPs in each of the three groups to allow comparison of their patients. Patients completed a questionnaire on socio-demographics, lifestyle and QOL using the Short Form 12 (SF-12) questionnaire. Chronicity of MSDs was defined as more than twelve weeks duration of the current episode. Diagnoses and co-morbidities were recorded by the physician. Results: A total of 825 GPs included 1,692 MSD patients (predominantly back pain and osteoarthritis) were included, 21.6% in the CM group, 32.4% Ho and 45.9% Mx. Patients in the Ho group had more often a chronic MSD (62.1%) than the CM (48.6%) or Mx (50.3%) groups, a result that was statistically significant after controlling for patients' characteristics (Odds ratio = 1.43; 95% confidence interval (CI): 1.07 - 1.89). Patients seen by homeopaths or mixed practice physicians who were not the regular treating physician, had more often a chronic MSD than those seen in conventional medicine (Odds ratios were1.75; 95% CI: 1.22 - 2.50 and 1.48; 95% CI: 1.06 - 2.12, respectively). Otherwise patients in the three groups did not differ for co-morbidities and QOL. Conclusion: MSD patients consulting primary care physicians who prescribed homeopathy and CAMs differed from those seen in conventional medicine. Chronic MSD patients represented a greater proportion of the clientele in physicians offering alternatives to conventional medicine. In addition, these physicians treated chronic patients as consulting rather than regular treating physicians, with potentially important impacts upon professional health care practices and organisation. [ABSTRACT FROM AUTHOR]

Abstract: Background and Objective: The many methods proposed for causality assessment of adverse drug reaction (ADR) generally rely on algorithms. They have no clear relationship to probabilities, however, a situation we attempted to improve. Study Design and Setting: Thirty ADR cases corresponding to 32 suspect drugs were randomly selected from the French pharmacovigilance database. The statistical weighting was performed by using a multilinear regression with logit(p) as the dependent variable and seven judgment criteria as independent variables. The best model (i.e., giving the best correlation with the gold standard) was retained for the new causality assessment method. Results: The weights [logit(p)] for the 21 choices, on average three for each of the seven criteria, ranged from −3.95 to 0.86, secondarily rounded to multiples of 0.5. The correlation between the probability obtained from the final method and the gold standard was quite good (R 2 = .92). Conclusion: This method based on the rational weighting of seven causality criteria is straightforward to use and provides very good agreement with experts'' judgment. Moreover, unlike most classical algorithms, it respects one basic rule of probabilities—namely, a symmetrical probability distribution for drug causation around the .5 neutral position (maximum uncertainty). [Copyright &y& Elsevier]

Background: Global introspection is, with operational algorithms and Bayes' theorem, one of the three main approaches used to assess the causal relationship between a drug treatment and the occurrence of an adverse event. Objective: To analyze and compare the judgments of five senior experts using global introspection about drug causation on a random set of putative adverse drug reactions. Methods: A random sample of 150 drug-effect pairs was constituted. For each pair, five senior experts had to independently assess the probability of drug causation from 0 to 1 by using a 100 mm visual analog scale (VAS). For analysis, those probabilities were secondarily split into seven levels of causality: excluded (0–0.05); unlikely (0.06–0.25); doubtful (0.26–0.45); unassessable/ unclassifiable (0.46–0.55); plausible (0.56–0.75); likely (0.75–0.95); and certain (0.95–1). Agreement among the five experts was assessed using kappa coefficients (κ). Results: The overall agreement between experts was poor (κ=0.20), although significantly different from chance, and varied according to the level of causality. It was lower for the unlikely, doubtful, unassessable/ unclassifiable, and plausible categories (κ=0.03, 0.03, -0.01, and 0.13, respectively) than for VAS extremes: excluded, likely, and certain (κ=0.40, 0.32, and 0.30, respectively). Conclusion: This study confirms that experts express marked disagreements when assessing drug causality independently. The agreement rate was lower for intermediate levels of causality, especially when strong evidence was lacking for confirming or ruling out drug causality. Therefore, in a decision-making context, a step-by-step consensual approach such as the Delphi method seems necessary to make the assessment of such cases more reliable. [ABSTRACT FROM AUTHOR]

Clinical trials constitute the gold standard to assess the efficacy and safety of new medicines. However, because they are conducted in standardized conditions far from the real world of prescription and use, discrepancies in patient selection or treatment conditions may alter both the effectiveness and risks. On the basis of three examples, our objectives were to study the differences between the characteristics of treated populations and treatment patterns in clinical trials and in postmarketing settings and to discuss the potential consequences on actual efficacy and safety. Treated populations were compared with patients included in premarketing clinical trials. Comparisons were made on the basis of demographic characteristics and treatment patterns. Whatever the indicator and the drug studied, differences were observed: from 0.04% to 63% for tacrine, from 0% to 37% for celecoxib and from 6% to 52% for simvastatin, with possible consequences on the effectiveness and safety of the drug concerned. Our results confirm the under-representation of women and elderly patients in premarketing clinical trials, e.g. an M : F ratio of 4.6 in clinical trails of simvastatin vs 1.0 in the joint population. Moreover, the concomitant use of medicines was made extremely restrictive by the protocols of these trials while this was not the case in the postmarketing phase. This has possible consequences on the effectiveness and safety of the drug concerned. These results plead for systematic ad hoc observational postmarketing studies for any novel and/or expensive medicine to assess the relevance of premarketing data. [ABSTRACT FROM AUTHOR]

Aims In many countries, governments and third parties find themselves paying for (reimbursing) unproven, inadequate products limiting their ability to invest in therapies with evidence of relevant patient benefit. We examined how three characteristics, level of therapeutic evidence, susceptibility of inappropriate prescribing, and intercountry variation can be used to identify inefficiencies in pharmaceutical reimbursement among four European Union countries, Austria, Belgium, the Netherlands and Sweden. Methods Specific classes of medicines were chosen to provide useful examples of how healthcare resources could be reallocated. A high level of therapeutic evidence was defined as a substantial body of evidence in at least one indication with clear-cut support of relevant patient benefit. The susceptibility of inappropriate prescribing was defined as the likelihood of prescribing a drug outside the scenario for which clear-cut evidence (if any) has been documented to produce relevant benefit for the patient. The intercountry variation represents the variation in utilization of reimbursed drugs across the four countries. Results The combination of these characteristics provides a useful tool for assessing appropriate reimbursement decisions. It would be beneficial to healthcare payers as well as patients to move resources from products that have a low level of therapeutic evidence and a high susceptibility of inappropriate prescribing to products with a high level of therapeutic evidence and low susceptibility of inappropriate prescribing, and to use intercountry variation as a signal of drug classes that should be subject to further scrutiny. Conclusions A method is presented to help policy-makers identify inefficiencies in the spending of limited health care resources, and to reallocate resources to products that have been shown to improve patient care through evidence-based medicine. [ABSTRACT FROM AUTHOR]

The article considers a proposed legislation that may possibly change the implementation of pharmacovigilance in Europe. Scheduled to be discussed by the European Parliament in April 2010, the legislation proposes changes like information exchange between regulators and industry, and the transfer of responsibility from the industry to public health directories. Under the provisions of the legislation, a Europe-based working party on pharmacovigilance called PVWP would become the pharmacovigilance risk assessment advisory committee (PRAAC).

Focuses on the United States' boycott of French products and how this boycott may have spread to include scientific output. Investigation of whether the proportion of French papers published in leading U.S. journals differed in the periods before and after the French veto to military intervention in Iraq, which caused the boycott; Pattern that was found in the publication of French articles; Decrease in the publication of French medical articles after the boycott.

Presents a letter to the editor about the delusion of reducing sample size in clinical trials.

Evaluates whether hepatitis B vaccination is related to first episodes of central nervous system demyelinating disorder in France. Scope of hepatitis B vaccination in the country; Immunization protocol; Incidence rate of the disorder.

Background and Objective: Benzodiazepines (including zolpidem and zopiclone) are often associated with higher-than-recommended intake and durations of use, especially in older adults. The objective of this study was to characterize trajectories of benzodiazepine use according to recommended patterns in older adults, and to assess predictors of the risk of developing each of these trajectories. Methods: Using the French Health Insurance database, we constituted a cohort of adults aged ≥ 65 years who initiated benzodiazepines in 2007 and were followed for up to 8 years. Concordance with benzodiazepine use guidelines was assessed on a quarterly basis according to a "concordance-with-guideline score" with values 1–5. Group-based trajectory modeling was then applied as implemented in the Proc Traj procedure in SAS to define guideline-concordant trajectories based on seven baseline patient-centered characteristics: sex, complementary health insurance coverage, treated alcohol and tobacco use disorder, polypharmacy, hospital stay, and registered chronic diseases. Results: Among 5080 new users (64.1% women, median age 74 years), six trajectories of benzodiazepine use were identified. Three, representing 70% of users, were concordant with guidelines, whereas three implied non-concordant benzodiazepine use for part or all of the benzodiazepine use follow-up. Polymedicated patients were more prone to develop chronic non-guideline-concordant initially guideline-concordant use, whereas those with a history of long-term disease and hospitalization were more likely to develop chronic non-guideline-concordant use. The number of prescribers during the first quarter, number of daily defined doses, use of loperamide, and use of psychostimulants were associated with a higher risk of developing an initial and persistent non-guideline-concordant use. Treatment initiation by a psychiatrist, initial use of World Health Organization (WHO) step-2 opioids and non-benzodiazepine anxiolytics or sedatives were associated with a higher risk of late non-guideline-concordant use. Conclusions: Concordance with guidelines varied over time during benzodiazepine use in older adults. A third of these adults will hypothetically follow one of the identified non-guideline-concordant trajectories, consisting of initial and/or late non-guideline concordance. This was associated with modifiable and nonmodifiable factors that clinicians should be aware of for tailoring the monitoring of patients. [ABSTRACT FROM AUTHOR]

This study aimed at describing trends in the incidence of use of noninsulin glucose-lowering drugs ( NIGLDs) between 2006 and 2013 in France. Repeated cross-sectional studies on NIGLD new users were performed annually from 2006 to 2013 within the Echantillon Généraliste des Bénéficiaires ( EGB) database, a 1/97th representative sample of the population covered by the French healthcare insurance system. NIGLD included metformin, sulfonylureas, α-glucosidase inhibitors, thiazolidinediones, dipeptidylpeptidase-4 ( DPP-4) inhibitors, glinides and glucagon-like peptide-1 analogues. New users were defined as patients with no delivery of any NIGLD (first-line new users) or no delivery of a NIGLD of the same class (add-on/switch new users) in the preceding year. Incidence rates of use and corresponding 95% confidence intervals (95% CI) were estimated per 1000 persons. Among the 507 043 persons included in the EGB in 2006, 2036 were identified as NIGLD first-line new users and 2192 as add-on/switch new users, which corresponded to an incidence of use of 4.0‰ (95% CI 3.8-4.2) and 4.3‰ (4.1-4.5), respectively. First-line incidence increased to 5.3‰ (5.1-5.5) in 2010 and then decreased to 4.2‰ (4.0-4.4) in 2013; add-on/switch incidence increased to 8.0‰ (7.8-8.2) in 2010 and then decreased to 5.3‰ (5.1-5.5) in 2013. This reduction was mainly related to DPP-4 inhibitors, whose use as add-on/switch NIGLDs was roughly halved between 2010 and 2013. Concomitantly, the use of sulfonylureas and glinides increased. In conclusion, after reaching a peak in 2010, the incidence of use of NIGLDs has markedly decreased in France. Since then, prescribers seem to have reverted to older and well-known therapies. [ABSTRACT FROM AUTHOR]

Introduction: The consequences of the withdrawal of marketing authorisation of drugs have mostly been studied considering drug prescription patterns for the therapeutic alternatives of the withdrawn drugs. The potential concomitant changes in the reporting of adverse reactions concerning these alternatives have been studied less often.Objective: The objective of this study was to analyse the changes in the reporting of adverse events (AEs) for therapeutic alternatives after the withdrawal of three medicines (dextropropoxyphene, pioglitazone and tetrazepam) from the market for safety reasons.Methods: This study was performed using both the French pharmacovigilance database and the Echantillon Généraliste des Bénéficiaires (a random sample of French health insurance affiliates). For dextropropoxyphene, pioglitazone and tetrazepam alternatives, the number and types of case reports were studied for both the year preceding the first official safety warning and the year following the withdrawal. Reporting rates expressed per 10,000 reimbursements (RRReimb) and per 10,000 treated patients (RRPat) were also compared for the two periods.Results: After dextropropoxyphene withdrawal, case reports and reimbursements increased for tramadol (case reports: +23%, reimbursements: +13%) and codeine (case reports: +74%, reimbursements: +47%), RRPat being significantly increased for tramadol (0.92 vs. 1.06, p = 0.02). After pioglitazone withdrawal, case reports increased for dipeptidyl peptidase-4 (DPP-4) inhibitors, glinides, and glucagon-like peptide 1 (GLP-1) analogues (+84%, +22% and +5%, respectively) and reimbursements (+55, +11 and +50%, respectively); both decreased for sulfonylureas (case reports: -6%, reimbursements: -2%). RRPat increased for DPP-4 inhibitors (1.63 vs. 2.26, p = 0.008). After tetrazepam withdrawal, case reports increased for diazepam, methocarbamol and thiocolchicoside (+110, +86 and +157%, respectively), as lesser did reimbursements. RRPat increased for diazepam (1.78 vs. 2.41, p = 0.054) and thiocolchicoside (0.14 vs. 0.24, p = 0.013).Conclusion: For the three drug withdrawals investigated, the number of case reports involving alternatives increased to a larger extent than the numbers of prescriptions. This could relate to a higher occurrence of AEs in new users of alternatives who switched from the withdrawn medicines or to an increased awareness of possible AEs. [ABSTRACT FROM AUTHOR]

The article inquires whether the use of benzodiazepines increases the risk of dementia in elderly people. It is revealed that over a 15 year follow-up period, starting treatment with benzodiazepines increased the risk of dementia by about 50 percent compared with non-users. Adjustment for factors strongly associated with starting benzodiazepines or considered to be markers for a prodrome of early dementia did not alter the association.

Several practice guidelines were published by French regulatory agencies between 2006 and 2009 to improve psychotropic drug use in older patients. The objectives of the study were to assess compliance with these guidelines in older patients hospitalized in psychiatric units and to identify characteristics associated with compliance. A cross-sectional study was conducted in 117 patients aged 65 years and older hospitalized in two psychiatric departments of a public hospital, at three dates randomly chosen between January and May 2014. Medical and sociodemographic characteristics were collected from electronic medical records. In all, 8% of psychotropic prescriptions were compliant with guidelines. A total of 98% of antidepressant prescriptions complied with guidelines for product selection (no tricyclics) and 72% for initial dosage (half of that recommended for younger adults). Regarding benzodiazepines, short half-life drugs were chosen in 73% of treatments, low maintenance dosage was found in 64% of treatments, and a discontinuous administration rhythm was noted in 33% of treatments. Regarding antipsychotics, initial dosage was a quarter of the allowed initial dosage for younger adults in 39% of prescriptions and metabolic blood testing was performed in 17% of prescriptions. Neurological and cognitive tolerance was monitored in 41% and 61% of prescriptions, respectively. Few clinical factors were found to be associated with compliance or noncompliance with guidelines in older psychiatric inpatients. Practice guidelines on psychotropic drug prescription were partially respected in older inpatients. Practitioners should take into account the risks associated with non-recommended patterns of psychotropic drug use in this vulnerable population. [ABSTRACT FROM AUTHOR]

Aims Uncertainty as to relative under-reporting plagues the comparisons of spontaneous reporting rates as a tool for decision-making in pharmacovigilance. However, it is generally accepted that under-reporting should be reasonably similar for similar drugs sharing the same indication, country and period of marketing. To test this, we compared the adverse drug reaction reporting rates to the French regional pharmacovigilance centres for six pairs of identical drug marketed at the same time by different companies under different brand names (co-marketing). Methods All reaction reports were related to sales, to compute reporting rate; within each pair, the reporting rate ratio and its confidence interval were calculated. Results The rate ratios were all between 0.76 and 1.33. Two of them were significantly different from 1 (1.28; 95% C.I. [1.01; 1.60] and 1.33; 95% C.I. [1.06; 1.74]). Conclusions These small differences in reporting rates would not warrant regulatory action and support the usual assumption of similar reporting for similar drugs. [ABSTRACT FROM AUTHOR]

Reimbursement databases are potentially invaluable tools to develop and conduct pharmacoepidemiological studies on drug use. However, two types of factors that may influence the performance of a database can be distinguished: firstly, factors related to the constitution of the database, and secondly, factors related to the data. For the latter, we think that two are important: the presence of the drug in the database and the capacity to capture real-life use, both of which are influenced by the marketing status (e.g., OTC) and whether reimbursement is possible. To illustrate and discuss to what extent reimbursement databases are relevant tools to conduct drug utilization studies with regard to the data on drugs. In order to illustrate the reliability of data in reimbursement databases, data from the main French national health insurance database (55 million individuals) were compared to national drug sales in France (units) during the same year. Depending on the ATC class, the capture in the database of drugs actually sold ranged from 32 to 81%. Capture of classes of drugs in the database may be explained by the specific characteristics of the French health insurance system (reimbursable drugs, OTC market share). These characteristics influence the studies that can be performed both in terms of the topic but also the methodology. This problem probably exists for the other reimbursement databases used worldwide. Studies should be designed according to the strengths and weaknesses of reimbursement databases that were not originally developed for pharmacoepidemiology. [ABSTRACT FROM AUTHOR]

Objective: To assess the characteristics of life-threatening adverse drug reactions in patients admitted to medical intensive care unit and to define those that could facilitate early identification.Design: A prospective 6-month observational study.Patients: Of the 436 admissions to the teaching hospital medical intensive care unit, all patients aged over 15 years and who had received documented drug treatment were included (n = 405).Measurements: Characteristics of patients [age, gender, underlying diseases, organ failure(s), drugs taken, Severity Acute Physiologic Score II, length of stay, outcome at discharge] were prospectively collected using a standardised questionnaire. A panel of experts assessed putative serious adverse drug reaction(s) for each drug taken and each organ failure at admission by using a standardised causality assessment method. Characteristics of patients with and without serious adverse drug reactions at admission were compared using univariate and then stepwise descending multivariate logistic regression.Results: Of the 405 patients included, 111 (27.4%) presented an adverse drug reaction leading to organ failure. In 48% of cases adverse drug reactions were preventable, 23% were undiagnosed and 19% contributed to death. Age over 75 years [odds ratio (OR) 2.25; 95% confidence interval (CI) 1.15-4.38; p = 0.02], having more than three drugs (OR 6.90; 95% CI 1.44-33.00; p = 0.02) and a diagnosis of haematological malignancy (OR 6.19; 95% CI 2.07-18.53; p = 0.001) were independently associated with serious adverse drug reactions.Conclusions: Preventable life-threatening adverse drug reactions were frequently involved in organ failure at admission to medical intensive care; many of them had not been identified. [ABSTRACT FROM AUTHOR]

Background: The French pharmacovigilance system is based on a network of 31 regional centres located in teaching hospitals and coordinated by the French Medicines Agency ("Agence Française de Sécurité Sanitaire des Produits de Santé" [Afssaps]). Since 1984, they have shared a common database of adverse drug reactions (ADRs) that are spontaneously reported by healthcare professionals. The objective of this study is to describe the characteristics of the reports and the reporting trends in the French pharmacovigilance spontaneous reporting database from 1986 to 2001.Methods: All the reports from January 1986 to December 2001 were included. Drugs and ADRs were translated to anatomical therapeutic chemical (ATC) codes and MedDRA classifications, respectively.Results: The total number of reports was 197 580 over the 16-year period, with linearly increase over time. The median (interquartile range [IQR]) age of the patients was 53 (34-70) and the male/female ratio was 0.82. The median (IQR) time between the date of occurrence of the ADR and the date of report was 73 days (34-166). The reporter was a specialist in 74% of the reports and a general practitioner in 17%. The annual rate of reporting according to medical demography strongly increased for the specialists, especially since 1994. At least one ADR was considered as serious in 44.8% of the reports. The ADRs were most frequently related to nervous system drugs (23%), followed by cardiovascular drugs (19%) and systemic anti-infectives (17%). The latter class had the fastest progression mostly due to antiretroviral therapy since 1996. According to the Medical Dictionary for Regulatory Activities (MedDRA) coding, the system organ most often reported was skin and subcutaneous tissue disorders (29%), followed by nervous system disorders (19%), gastrointestinal disorders (12%), blood and lymphatic system disorders (12%), vascular disorders (12%) and general disorders and administration site conditions (12%).Discussion: All spontaneous reporting systems are affected by under-reporting. One of their goals is to generate early signals, which might be more affected by reporting bias than by under-reporting. Some improvements should be made in the design of the French database, but data collected since 1986 constitute an essential tool for the routine work of the 31 pharmacovigilance centres.Conclusion: This first description of the data of the French pharmacovigilance database involving all drugs and ADRs shows an increasing tendency to reporting over time, especially in specialists and for systemic anti-infective drugs. The database that uses hierarchical international classifications for drugs and adverse reactions may be used for further studies and could be the basis for an automatic signal generation system. [ABSTRACT FROM AUTHOR]

Introduction: Psychotropic drugs such as anxiolytics, antidepressants and antipsychotics may have anticholinergic properties that could directly affect patients' cognition. Objectives: Our objective was to assess the relationship between exposure to anticholinergic-positive (AC+) psychotropic drugs and cognitive impairment compared with psychotropic drugs without anticholinergic activity (AC−). Methods: This analysis included participants (aged 45–70 years) enrolled between January 2012 and October 2017 in the CONSTANCES cohort treated with psychotropic drugs (antidepressants n = 2602, anxiolytics n = 1195, antipsychotics n = 197) in the 3 years preceding cognitive assessment. Within each drug class, the Anticholinergic Cognitive Burden scale was used to classify drugs as either AC+ or AC−. Cognitive impairment was defined as a score below − 1 standard deviation from the standardized mean of the neuropsychological score. We used multiple logistic regression models and matching on propensity score to estimate the relationship between anticholinergic activity and cognitive impairment. Results: Our analyses did not show any increased risk of cognitive impairment for AC+ antidepressants and anxiolytics, with the exception of a slight increase for AC+ antidepressants in episodic memory (odds ratio [OR] 1.19; 95% confidence interval [CI] 1.05–1.36). Conversely, we found a more marked increase in risk with AC+ antipsychotics on executive function (Trail Making Test-A [TMT-A], OR 4.49 [95% CI 2.59–7.97] and TMT-B, OR 3.62 [95% CI 2.25–5.89]). Conclusion: Our results suggest there is no clinically relevant association between the anticholinergic activity of antidepressant and anxiolytic drugs and cognitive impairment in middle-aged adults. An association could exist between AC+ antipsychotics and executive function. [ABSTRACT FROM AUTHOR]

Aims: Although medicine misuse is a public health issue, it has multiple meanings in the medical literature. This study aimed to characterize, classify and identify the most appropriate definitions of medicine misuse. Methods: A systematic review was performed in Medline, ISI Web of Science, SocINDEX, PsycInfo, PsycArticles and Psychological and Behavioral Sciences Collection, using keywords related to "misuse", "appropriateness" and "medicine" between 1 November 2008 and 25 August 2020. Additional searches were conducted in websites of regulatory agencies and public health institutions. Two authors independently selected studies providing both definitions and examples of misuse, while a third resolved disagreements. Definitions were used to propose a hierarchical classification based on initiator, intent, purpose and context of medicine misuse. The study is registered on PROSPERO: CRD42018115789. Results: Of 3404 identified records, 51 were included. A total of 71 definitions and 74 examples of misuse were retrieved. When the prescriber is initiator and according to intent, potential medicine misuse referred to "intentional or unintentional prescribing not in line with clinical evidence". Based on context, they could prescribe medicines not clinically justified, i.e. overprescribing, or prescribe indicated medicines incorrectly, i.e. misprescribing. Among other groups of definitions, those overlapping with drug abuse or medication use errors were considered out‐of‐scope. Conclusion: This systematic review provides a comprehensive overview of the terms and definitions used to characterize medicine misuse and could serve as a basis for a terminology that makes clear distinctions between misuse, abuse and errors. [ABSTRACT FROM AUTHOR]

Considering their novelty and cost, post‐marketing evaluation is highly relevant for new anticancer drugs. Identify and characterize available and potentially useful databases for post‐marketing evaluation of these specific drugs is necessary. A review was conducted to identify available and accessible databases to study the post‐marketing evaluation of drugs in real‐life care setting. Databases identified have been classified into medico‐administrative databases, medical record databases, and databases resulting from ad hoc collections. Taking as examples databases available in France, each type was described as well as its strengths and limits for a potential use in the oncology field. Record linkage of medico‐administrative databases could cover almost the whole population and is now used to evaluate anticancer drugs (e.g., Système National des Données de Santé). Large medical record databases are still lacking, but efforts are currently made to give access to hospital data warehouses for research purposes. Finally, databases resulting from ad hoc collections are also available for some cancer localizations and allow to obtain highly valuable clinical and biological data. A range of important and valuable databases exist but, individually, none is enough to answer to all questions from health authorities, healthcare professionals, and patients. In order to obtain a complete overview on utilization, associated health outcomes and costs of these drugs, it seems necessary to better interlink available databases. [ABSTRACT FROM AUTHOR]

Introduction: Despite the risks associated with their use, benzodiazepines remain used more widely than wisely. In this context, a better understanding of how their patterns of use can be associated with an increased risk of death appears essential. Indeed, the studies that investigated this association so far are inconsistent and question the influence of potential biases. Objective: The objective of this study was to investigate the association of various patterns of benzodiazepine use with all-cause mortality. Methods: A nationwide cohort of non-prevalent benzodiazepine users aged ≥ 65 years was identified using French healthcare insurance system claims databases. Exposure to benzodiazepines considered short-term, chronic (defined as a cumulated ≥ 6-month period over the previous 12 months), ongoing, and discontinued use. Using a Cox model, adjusted hazard ratios for all-cause mortality were estimated according to benzodiazepine patterns of use; exposure and confounders were treated as time-dependent variables. Results: In the cohort of 54,958 individuals aged ≥ 65 years, adjusted hazard ratios for all-cause mortality and benzodiazepines were 2.26 (95% confidence interval 1.96–2.61) for short-term use, 3.86 (3.04–4.90) for chronic use—discontinued, and 3.05 (2.17–4.29) for chronic use—ongoing. At age 80 years, these were 1.62 (1.48–1.79), 2.00 (1.82–2.19) and 1.13 (1.02–1.26), respectively. Adjusted hazard ratios show similar decreases with age for all patterns of benzodiazepine use. Conclusions: These findings confirm the existence of an excess risk of mortality associated with benzodiazepine use and provide pattern- and age-specific estimates. Higher risks were observed for patients aged < 80 years, short-term use, or chronic use recently interrupted. If the two latter can relate to an indication bias, the associations found for ongoing chronic use and short-term use conversely support a potential causal hypothesis. [ABSTRACT FROM AUTHOR]

Safety equivalence studies may be required to demonstrate that a new procedure or process is at least as safe as a previous one. They usually involve low or very low outcome rates that are often not precisely determined, making patient-based sample sizing uncertain. Using a reverse sampling approach, a method is derived from standard equations to estimate the number of events that need to be observed to demonstrate equivalence using the confidence interval approach. For instance, for a one-sided (nonsuperiority) hypothesis, 5% alpha risk, and 80% power, almost 100 events need to be observed in each study arm to demonstrate equivalence within 30%, or 250 events for 20% equivalence. The number of patients to be included can be derived directly from expected event rates. [Copyright &y& Elsevier]

Introduction: Understanding the balance between the benefits and risks of vaccination is essential to ensure informed and adequate public health decision making. Quantitative benefit–risk models (qBRm) represent useful tools to help decision makers with supporting benefit–risk assessment throughout the lifecycle of a medical product. However, few initiatives have been launched to harmonise qBRm approaches, specifically for vaccines. Objectives: The aim of this paper was to identify publications about qBRm applied to vaccines through a systematic literature review, and to describe their characteristics. Methods: Medline, Scopus and Institute for Scientific Information Web of Knowledge databases were searched to identify articles in English, published from database inceptions up to December 2019. The search strategy included the combination of three key concepts: 'benefit–risk', 'modelling' and 'vaccines'. Data extracted included the modelling context and the methodological approaches used. Results: Of 3172 publications screened, 48 original publications were included. Most of the selected studies were published over the past decade and focused on rotavirus (15), dengue (10) and influenza (6) vaccines. The majority (30) of studies reported analyses related to high-income countries. The methodology of the studies differed, particularly in modelling techniques, benefit–risk measures, and sensitivity analyses. The present work also pointed out a high level of variability in the quality of reporting across studies, with particular regard to input parameters and methodological approaches. Conclusions: This review provides an extensive list of qBRm applied to vaccines. Discrepancies across studies were identified during our review. While the number of published qBRm studies is increasing, no reporting guidance for qBRm applied to vaccines is currently available. This may affect decision makers' confidence in the results and their benefit–risk assessment(s); therefore, the development of such reporting guidance is highly needed. [ABSTRACT FROM AUTHOR]

Introduction: Quantitative benefit-risk models (qBRm) applied to vaccines are increasingly used by public health authorities and pharmaceutical companies as an important tool to help decision makers with supporting benefit-risk assessment (BRA). However, many publications on vaccine qBRm provide insufficient details on the methodological approaches used. Incomplete and/or inadequate qBRm reporting may affect result interpretation and confidence in BRA, highlighting a need for the development of standard reporting guidance. Objectives: Our objective was to provide an operational checklist for improved reporting of vaccine qBRm. Methods: The consolidated standards of reporting quantitative Benefit-RIsk models applied to VACcines (BRIVAC) were designed as a checklist of key information to report in qBRm scientific publications regarding the assessed vaccines, the methodological considerations and the results and their interpretation. Results: In total, 22 items and accompanying definitions, recommendations, explanations and examples were provided and divided into six main sections corresponding to the classic subdivisions of a scientific publication: title and abstract (items 1–2), introduction (items 3–4), methods (items 5–15), results (items 16–17), discussion (items 18–20) and other (items 21–22). Conclusions: The BRIVAC checklist is the first initiative providing an operational checklist for improved reporting of qBRm applied to vaccines in scientific articles. It is intended to assist authors, peer-reviewers, editors and readers in their critical appraisal. Future initiatives are needed to provide methodological guidance to perform qBRm while taking into account the vaccine specificities. [ABSTRACT FROM AUTHOR]

Introduction: After a safety warning was issued for a risk of muscular injury associated with dipeptidyl peptidase-4 (DPP-4) inhibitor use, especially when co-prescribed with statins, spontaneous reporting analyses provided conflicting results. Objective: The aim of this study was to investigate the association between DPP-4 inhibitor use and the risk of muscular injury in individuals with type 2 diabetes mellitus using statins or fibrates. Methods: We conducted a nested case-control study amongst a cohort of individuals with type 2 diabetes using statins or fibrates, identified from a nationwide French health insurance database (2009–2014). Cases of serious muscular injury were defined as subjects hospitalized for rhabdomyolysis or myopathy, or for whom testing for myoglobin or creatine phosphokinase followed by a change in statin or fibrate prescription (dose decrease, treatment switch, or stop) was identified. Up to ten controls were matched to each case according to sex, age, and type of lipid-lowering agent. Associations between DPP-4 inhibitor use and serious muscular injury were estimated using a multivariate conditional logistic regression model, providing odds ratios (ORs) adjusted for alcoholism, chronic renal failure, hypothyroidism, and number of concomitant drugs. Results: Within the 35,117 individuals with type 2 diabetes mellitus constituting the source cohort, 437 statin-user cases were identified who were matched to 4358 statin-user controls. Similarly, 54 fibrate-user cases were identified who were matched to 540 fibrate-user controls. The adjusted OR for DPP-4 inhibitor use and serious muscular injury was estimated at 1.0 (95% confidence interval [CI] 0.7–1.2) in statin users and 0.8 (95% CI 0.4–1.9) in fibrate users. Conclusion: In this study, DPP-4 inhibitor use was not associated with an increased risk of serious muscular injury among patients with type 2 diabetes mellitus using statins or fibrates. [ABSTRACT FROM AUTHOR]

Aims: Azacitidine (AZA), a pyrimidine analogue, is validated for high‐risk myelodysplastic syndrome or low‐blast acute myeloid leukaemia in unfit patients for more intensive treatment. This study assessed the putative link between cardiac failure (CF) and AZA exposure. Methods: Cases of CF in patients treated with AZA were retrospectively collected and described from several centres of the Groupe Francophone des Myélodysplasies. A description analysis and a disproportionality analysis using Vigibase, the WHO Global Individual Case Safety Reports (ICSRs) database, were conducted on ICSRs by the Standardized MedDRA Queries (SMQ broad) cardiac failure and by preferred terms cardiac failure and cardiac failure acute. The reported odds ratio (ROR) and its 95% 2‐sided confidence interval was computed by comparing the proportion of CF reports with the suspected drug (AZA) and the proportion of reports of the same adverse drug reaction with all other suspected drugs in the database during the same period. Results: In the 4 case reports, all patients presented a cardiovascular history. In 1 patient, CF recurred after AZA re‐challenge. The pharmacovigilance analysis in Vigibase retrieved 307 ICSRs of CF (SMQ) with AZA. Significant disproportionality signals associated with AZA were identified by using the SMQ cardiac failure (ROR 1.3) and the preferred terms cardiac failure (ROR 5.1) and cardiac failure acute (ROR 23.2). Conclusion: This study points to the potential role of AZA in the occurrence of CF. Cardiac evaluation before AZA initiation and regular monitoring of cardiac function during AZA treatment should be performed in patients with a history of cardiovascular disease. [ABSTRACT FROM AUTHOR]

Background: The study compared treatment failure when using three therapeutic strategies in bipolar disorders: (i) mood stabilizers (MSs: lithium, valpromide, divalproate, carbamazepine, lamotrigine) without second-generation antipsychotic (SGAP); (ii) SGAPs (aripiprazole, olanzapine, risperidone, quetiapine) without MS; (iii) combination of MSs and SGAPs.Methods: A historical cohort study was conducted using the French national healthcare databases in 20,086 outpatients aged 21+, newly treated with one of the three treatment strategies in 2011-2012, and diagnosed with a bipolar disorder. A composite outcome was based on indicators of treatment failure identified over 12 months: treatment discontinuation, switch or addition, psychiatric hospitalisation, suicide attempt, and death. For each strategy, the cumulative incidence of treatment failure was calculated while adjusting for covariates by propensity score weighting.Results: A total of 8,225 patients (40.9%) were newly dispensed MSs, 9,342 (46.5%) SGAPs, and 2,519 (12.5%) both MSs and SGAPs. The one-year adjusted cumulative incidence of treatment failure was 75.7% (95%CI 74.9;76.3) in patients using MSs, 75.3% (74.6;76.0) in patients using SGAPs, and 60.5% (58.3;62.6) in patients with the combination. The adjusted difference in incidence for SGAPs compared with MSs was -0.40% (-1.4;0.6 p = 0.4) in the whole population, -2.2% (-3.3; -1.2 p < 0.002) in patients under 65 years and +6.7% (4.1;9.1 p < 0.002) in patients 65 years and over.Limitations: Combinations of MSs and SGAPs could not be directly compared with MS or SGAP monotherapies.Conclusions: One-year treatment failure was high. Overall, no difference in treatment failure was observed between MS or SGAP strategy but differences might exist depending on age. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To assess the risk of hospitalization for trauma associated with use of hypoglycemic glucose‐lowering drugs (GLDs) in individuals aged 65 and older. DESIGN: Observational, nested, case–control study. SETTING: The Echantillon Généraliste de Bénéficiaires claims database, a 1/97th representative sample of the population covered by French healthcare insurance. PARTICIPANTS: All persons with a first hospitalization for trauma between 2009 and 2015 were considered as potential cases. They were selected if they had been followed for 365 days or longer at index date, were aged 65 and older, and had no diagnosed cancer. Cases (n=10,743) were matched with up to 10 randomly selected controls on age, sex, and length of follow‐up (n=106,629). MEASUREMENTS: GLD exposure was considered globally and according to use of hypoglycemic GLDs alone, nonhypoglycemic GLDs alone, or both types of GLDs. Risk of hospitalization for trauma was estimated using hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: Risk of hospitalization for trauma was significantly higher with use of GLDs (HR=1.15, 95% CI=1.08–1.22). Greater risk was found only in individuals treated with hypoglycemic GLDs alone (HR=1.26, 95% CI=1.15–1.38), particularly insulin (HR=1.49, 95% CI=1.32–1.68) and glinides (HR=1.34, 95% CI=1.12–1.61). CONCLUSION: This study highlights the excess risk of serious trauma with the use of insulin and glinides. J Am Geriatr Soc 66:2086–2091, 2018. [ABSTRACT FROM AUTHOR]

Aims: We explored the patterns of antidepressant use during pregnancy. Methods: A cohort of women who started a pregnancy in 2014 was identified using data from the French reimbursement healthcare system (covering approximately 99% of the population). Antidepressant usage (initiated before or during pregnancy) was assessed. Explored changes in antidepressant treatment were: associations, switches, discontinuation and resumption of antidepressants during pregnancy. Results: The cohort included 766 508 pregnancies (755 519 women). Antidepressant use during pregnancy was 25.7 per 1000 [95% CI: 25.3–26.0]. New use concerned 3.9 per 1000 [95% CI: 3.7–4.0]; the most initiated class during pregnancy was selective serotonin reuptake inhibitors (SSRIs), while the most prescribed individual drug in second and third trimesters was amitriptyline, a tricyclic. Most changes were observed before pregnancy and during the first trimester: 63% of ongoing treatments in the year before pregnancy were discontinued before conception; 68% of treatments maintained after conception were discontinued during the first trimester; switches or antidepressant associations mostly occurred during the periconceptional period or during the first trimester. Regardless of initial antidepressant, switches to sertraline were the most frequent. Associations mainly consisted of a prescription of tri‐/tetracyclic or mirtazapine/mianserin in addition to an SSRI. Discontinuation during pregnancy led to treatment resumption in 22% of pregnancies. Conclusions: These results suggest that pregnancy was planned or the treatment especially adapted in accordance with existing recommendations in a large proportion of women under antidepressants or in whom such treatments have been initiated after starting a pregnancy. [ABSTRACT FROM AUTHOR]

Background: Hepatotoxicity may be a concern when prescribing antidepressants. Nevertheless, this risk remains poorly understood for serotonin and noradrenaline reuptake inhibitors (SNRIs: venlafaxine, milnacipran, duloxetine) and 'other antidepressants' (mianserin, mirtazapine, tianeptine and agomelatine), particularly in comparison with selective serotonin reuptake inhibitors (SSRIs: fluoxetine, citalopram, paroxetine, sertraline, fluvoxamine, escitalopram), which are by far the most commonly prescribed antidepressants.Objective: We quantified the risk of serious liver injury associated with new use of SNRIs and 'other antidepressants' compared with SSRIs in real-life practice.Methods: Based on the French national health insurance database, this cohort study included 4,966,825 individuals aged 25 years and older with a first reimbursement of SSRIs, SNRIs or 'other antidepressants' between January 2010 and June 2015. We compared the risk of serious liver injury within the 6 months following antidepressant initiation according to antidepressant class, with SSRIs as the reference, using an inverse probability-of-treatment-weighted Cox proportional hazard model adjusted for demographic characteristics and risk factors of liver injury.Results: We identified 382 serious liver injuries overall (none for milnacipran initiators). Age and gender standardized incidence rates per 100,000 person-years were 19.2 for SSRIs, 22.2 for venlafaxine, 12.6 for duloxetine, 21.5 for mianserin, 32.8 for mirtazapine, 31.6 for tianeptine and 24.6 for agomelatine initiators. Initiation of antidepressants of interest versus SSRIs was not associated with an increased risk of serious liver injury [adjusted hazard ratios (95% confidence interval): venlafaxine 1.17 (0.83-1.64), duloxetine 0.54 (0.28-1.02), mianserin 0.90 (0.58-1.41), mirtazapine 1.17 (0.67-2.02), tianeptine 1.35 (0.82-2.23) and agomelatine 1.07 (0.51-2.23)]. This finding was confirmed by the results of an additional study using a case-time-control design.Conclusion: These results do not provide evidence of an increased risk of serious liver injury following initiation of SNRIs or 'other antidepressants' compared with SSRIs in real-life practice. This could reflect an inherent lack of difference in risk between the drug classes, or the fact that individuals with higher susceptibility to drug-induced liver injury are not prescribed drugs considered to be more hepatotoxic. [ABSTRACT FROM AUTHOR]

Approved in 2006, human papillomavirus (HPV) vaccines were initially targeted for girls aged 9–14 years. Although the safety of these vaccines has been monitored through post-licensure surveillance programmes, cases of neurological events have been reported worldwide. The present study aimed to assess the risk of developing demyelination after HPV immunization by meta-analysing risk estimates from pharmacoepidemiologic studies. A systematic review was conducted in Medline, Embase, ISI Web of Science and the Cochrane Library from inception to 10 May 2017, without language restriction. Only observational studies including a control group were retained. Study selection was performed by two independent reviewers with disagreements solved through discussion. This meta-analysis was performed using a generic inverse variance random-effect model. Outcomes of interest included a broad category of central demyelination, multiple sclerosis (MS), optic neuritis (ON), and Guillain-Barré syndrome (GBS), each being considered independently. Heterogeneity was investigated; sensitivity and subgroup analyses were performed when necessary. In parallel, post-licensure safety studies were considered for a qualitative review. This study followed the PRISMA statement and the MOOSE reporting guideline. Of the 2,863 references identified, 11 articles were selected for meta-analysis. No significant association emerged between HPV vaccination and central demyelination, the pooled odds ratio being 0.96 [95% CI 0.77–1.20], with a moderate but non-significant heterogeneity (I 2  = 29%). Similar results were found for MS and ON. Sensitivity analyses did not alter our conclusions. Findings from qualitative review of 14 safety studies concluded in an absence of a relevant signal. Owing to limited data on GBS, no meta-analysis was performed for this outcome. This study strongly supports the absence of association between HPV vaccines and central demyelination. [ABSTRACT FROM AUTHOR]

Purpose: The present study was conducted to describe antipsychotic (AP) prevalent and incident use, characteristics of AP users, and their trends in the French population.Methods: A cross-sectional study was repeated yearly from January 1, 2007 to December 31, 2013 (for prevalence analysis) or to December 31, 2012 (for incidence analysis) using the French Health Insurance reimbursement database (Echantillon Généraliste de Bénéficiaires, EGB). For each year studied, prevalent and incident AP users were described in terms of age and gender overall, and according to the type of AP (FGAPs or SGAPs) used at index date. In addition, concurrent medications and comorbidities that a priori contraindicate the use of drugs having atropinic properties were researched.Results: Prevalence and incidence remained relatively stable along the 2007-2013 period. Trends slightly decreased, from 2.07% (n = 10,252) to 2.05% (n = 11,015) for prevalence, and from 0.73% (n = 3461) to 0.66% (n = 3363) for incidence, especially in elderly, in contrast of children and adolescents (+ 39% for prevalence, from 184 to 271). The number of coprescribed drugs was found high (median = 5) and remained constant over time. In 2013, about 7% of prevalent AP users presented with a comorbidity increasing the risk of atropinic ADRs, and 36% used at least one concurrent atropinic drug. In incident AP users, these numbers were of 8 and 29%, respectively.Conclusions: The present study highlighted a marked shift from FGAPs toward SGAPs, as well as an increase in AP use in children and adolescents in France. [ABSTRACT FROM AUTHOR]

Background The anti-hepatitis B immunization campaigns launched in the early 1990s were a major public health breakthrough and targeted various populations (at-risk adults, newborns, adolescents). However, debate is still active about a possible link between this vaccine and central demyelination. This study provides a pooled estimate of this risk based on a comprehensive review and meta-analysis of all available epidemiologic studies. Methods A systematic review was conducted in Medline, Embase, ISI Web of Science and the Cochrane Library from database inception to 10 May 2017. Grey literature was searched and snowballing was also undertaken. Only observational studies including a control group were retained. Primary outcome was multiple sclerosis diagnosed by recognized criteria. Study selection was performed by two independent reviewers with disagreements solved through discussion. This meta-analysis based on crude, adjusted estimates, or risks limited to the 3 months following immunization was performed using a generic inverse variance random-effect model. Heterogeneity was investigated; sensitivity and subgroup analyses were performed when necessary. This study followed the PRISMA statement and the MOOSE reporting guideline (Study protocol registered in PROSPERO: CRD42015020808). Findings Of the 2804 references reviewed, 13 studies with a control group were analysed. None of the pooled risk estimates for either multiple sclerosis or central demyelination following HB immunization reached statistical significance. When considering adjusted risk ratios, the following non-significant figures were obtained: 1.19 (95%CI: 0.93 – 1.52) and 1.25 (95%CI: 0.97 – 1.62), for multiple sclerosis and central demyelination, respectively. Conclusions No evidence of an association between hepatitis B vaccination and central demyelination was found. [ABSTRACT FROM AUTHOR]

Purpose: In 2011, pioglitazone was withdrawn from the French market owing to a potential risk of bladder cancer. This study aimed at assessing the impact of this pioglitazone withdrawal (PW) considering (i) trends in antidiabetic uses and (ii) changes in hospitalization/death rates in diabetic patients following PW. Methods: We first considered the general population of the Echantillon Généraliste des Bénéficiaires (EGB), a 1/97th representative sample of the French healthcare insurance system beneficiaries, for the 2010-2014 period. In this, for each non-insulinic antidiabetic drug class, changes within the numbers of monthly supplied drug units for 1000 subjects were studied through times series and Unobserved Component Models. Second, we identified from the EGB a cohort of patients who were delivered a non-insulinic antidiabetic between 01 April 2011 and 01 August 2011 (date of PW). In this, post-withdrawal incidences of all-cause hospitalization and death were compared amongst pioglitazone users and non-users using proportional subdistribution hazards models. Results: PW was accompanied by an increase in metformin (+ 11.7; 95% CI 1.1-22.3) and glinide (+ 11.0; 95% CI 1.2-20.8) numbers of monthly supplied units for 1000 subjects. No significant change was found for GLP-1 agonists, DPP-4 inhibitors, sulphonylureas or alpha-glucosidase inhibitors. In the cohort of non-insulinic antidiabetic users at the time of PW (1093 pioglitazone users, 17,900 non-users), being a pioglitazone user at PW was not associated with a subsequently higher rate of hospitalization. Conclusions: If PW was accompanied with significant changes in the use of some antidiabetics, no adverse impact of PW on hospitalization or death rates of diabetic type 2 patients was found. [ABSTRACT FROM AUTHOR]

Aims Pharmacovigilance databases are usually used to detect new potential signals that are relevant for drug safety. They are seldom used for explanatory purposes, e.g. to understand the mechanisms of adverse drug reactions (ADRs). The aim of the present study was to combine pharmacovigilance and pharmacodynamic data to investigate the association between dopamine D2, serotonin 5HT2A, and muscarinic M1 receptor occupancy and the risks of antipsychotic drug (AP)-induced movement disorders. Methods First, we performed a case-noncase analysis using spontaneous reports from the World Health Organization (WHO) Global Individual Case Safety Report (ICSR) database, VigiBase®. We thus measured the risk of reporting movement disorders compared with all other ADRs [expressed as a reporting odds ratio (ROR)] for APs. Second, we performed a linear regression analysis to explore the association between the estimated risk of reporting for individual drugs and their receptor occupancy properties, for D2, 5HT2A and M1 receptors. Results Compared with second-generation APs, first-generation APs were found to be significantly more associated with the reporting of movement disorders in general but also with dystonia, Parkinsonism, akathisia and tardive dyskinesia, irrespective of gender. A significant inverse correlation was found between the ROR for movement disorders and the receptor occupancy of 5HT2A [ P < 0.001; R2 = 0.51; slope = −0.014; 95% confidence interval (CI) (−0.029, 0.001)], M1 ( P < 0.001; R2 = 0.56; slope = −0.014; 95% CI (−0.028, 0.001) but not D2 dopamine ( P = 0.54; R2 = 0.02; slope = −0.003; 95% CI (−0.007, 0.001) receptors. Conclusions Using the example of AP-induced movement disorders, the present study underlines the value of the pharmacoepidemiological-pharmacodynamic method to explore ADR mechanisms in humans and real-life settings. [ABSTRACT FROM AUTHOR]

Introduction: The case-population approach compares exposure among cases to that of their source population. By using aggregated data to estimate the denominator, this approach can provide a real-time estimate of an association that could be particularly valuable to explore urgent vaccine safety concerns and to generate signals during a vaccine campaign. Objective: Our objective was to present the vaccine case-population method, a method derived from the case-population approach and adapted for vaccine safety surveillance, and to test it using several published examples. Methods: For the vaccine case-population method, exposure in the population is estimated from the sum of at-risk periods using the number of vaccinated individuals, or data of vaccine sales, and the at-risk period considered for the vaccine-event pair. The vaccine case-population method was applied to data from published case-control studies retrieved from the MEDLINE database and having quantified risks associated with vaccines. Odds ratios derived from the vaccine case-population method were compared with those from published case-control studies. Results: A total of 20 vaccine-event pairs were retrieved in which the vaccine case-population method could be applied. For all identified vaccine-event pairs, when a significant association was found using the vaccine case-population method, a significant association was also found in the corresponding case-control study. Conversely, when no association was found by the vaccine case-population method, no association was found in the corresponding case-control study. Conclusion: These results suggest that the vaccine case-population method can produce coherent conclusions and may be used in the future for prospective investigation of urgent vaccine safety concerns or for the prospective generation of vaccine safety signals. This method could also be used to identify selection bias from cases excluded from the case-control study. [ABSTRACT FROM AUTHOR]