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31 result(s) for "Lassalle Régis"
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Use of benzodiazepines and z-drugs not compliant with guidelines and associated factors: a population-based study
Benzodiazepines and z-drugs are primarily indicated for the treatment of sleep disorders and anxiety symptoms. Their frequent long-term use contrasts with the international guidelines that limit treatment duration to a maximum of 4 weeks. The objective of this study was to assess the frequency of their use that was not in accordance with guidelines in the French general population between 2007 and 2012 and associated characteristics. A cohort of 67,550 benzodiazepine new users was set up in an exhaustive database for health-care reimbursements and representative of the French population. Benzodiazepine use not in accordance with guidelines was defined as the concomitant dispensation of several benzodiazepines, the dispensation of treatment over a period longer than recommended, or a new dispensing within the 2 months following the end of a previous treatment of maximum recommended duration, considering that French recommendations distinguish between hypnotic (4 weeks) and anxiolytic benzodiazepines (12 weeks). Benzodiazepine use not in accordance with guidelines was high, in about 30% of new hypnotic users and 20% of new anxiolytic users. Its frequency was stable over the study period. Associated characteristics were similar for new hypnotic or anxiolytic users, i.e.. older age, treatment initiation by a psychiatrist, presence of a chronic disease, hospitalization, or another psychotropic treatment. These findings provide a solid basis for establishing a public health policy to reduce benzodiazepine use not compliant with guidelines. They should be further explored in patients most at risk in the present study, e.g., patients treated by a psychiatrist.
Nurses’ internal contamination by antineoplastic drugs in hospital centers: a cross-sectional descriptive study
ObjectiveThe aim of this study was to assess internal antineoplastic drugs (ADs) contamination in the nursing staff in French hospital centers, using highly sensitive analytical methods.MethodsThis cross-sectional study included nurses practicing in care departments where at least one of the five ADs studied was handled (5-fluorouracil, cyclophosphamide, doxorubicin, ifosfamide, methotrexate). The nurses study participation lasted 24 h including collection of three urine samples and one self-questionnaire. All urine samples were assayed by ultra-high-performance liquid chromatography–tandem mass spectrometry methods with very low value of the lower limit of quantification (LLOQ).Results74 nurses were included, 222 urine samples and 74 self-questionnaires were collected; 1092 urine assays were performed. The percentage of nurses with internal AD contamination was 60.8% and low levels of urinary concentrations were measured. Regarding nurses with internal contamination (n = 45), 42.2% presented internal contamination by methotrexate, 37.8% by cyclophosphamide, 33.3% by ifosfamide, 17.8% by 5-fluorouracil metabolite and 6.7% by doxorubicine. Among the positive assays, 17.9% (n = 26/145) were not explained by exposure data from the self-questionnaire but this could be due to the skin contact of nurses with contaminated work surfaces.ConclusionsThis study reported high percentage of nurses with internal ADs contamination. The low LLOQ values of the used analytical methods, allowed the detection of ADs that would not have been detected with the current published methods: the percentage of contamination would have been 17.6% instead of the 60.8% reported here. Pending toxicological reference values, urine ADs concentrations should be reduced as low as reasonably achievable (ALARA principle).
Cardiovascular and renal diseases in type 2 diabetes patients: 5-year cumulative incidence of the first occurred manifestation and hospitalization cost: a cohort within the French SNDS nationwide claims database
Background Myocardial infarction (MI), stroke, peripheral arterial disease (PAD), heart failure (HF) and chronic kidney disease (CKD) are common cardiovascular renal diseases (CVRD) manifestations for type 2 diabetes. The objective was to estimate the incidence of the first occurring CVRD manifestation and cumulative hospitalization costs of each CVRD manifestation for type 2 diabetes without CVRD history. Methods A cohort study of all type 2 diabetes free of CVRD as of January 1st 2014, was identified and followed-up for 5 years within the French SNDS nationwide claims database. The cumulative incidence of the first occurring CVRD manifestation was estimated using the cumulative incidence function, with death as a competing risk. Cumulative hospitalization costs of each CVRD manifestations were estimated from the perspective of all payers. Results From 2,079,089 type 2 diabetes without cancer or transplantation, 76.5% were free of CVRD at baseline with a mean age of 65 years, 52% of women and 7% with microvascular complications history. The cumulative incidence of a first CVRD manifestation was 15.3% after 5 years of follow-up with a constant linear increase over time for all CVRD manifestations: The most frequent was CKD representing 40.6% of first occurred CVRD manifestation, followed by HF (23.0%), then PAD (13.5%), stroke (13.2%) and MI (9.7%). HF and CKD together reached about one patient out of ten after 5 years and represented 63.6% of first CVRD manifestations. The 5-year global cost of all CVRD hospitalizations was 3.9 billion euros (B€), i.e. 2,450€ per patient of the whole cohort, with an exponential increase over time for each specific CVRD manifestation. The costliest was CKD (2.0 B€), followed by HF (1.2 B€), then PAD (0.7 B€), stroke (0.6 B€) and MI (0.3 B€). Conclusions/interpretation While MI, stroke and PAD remain classic major risks of complications for CVRD-free type 2 diabetes, HF and CKD nowadays represent individually a higher risk and cost than each of these classic manifestations, and jointly represents a risk and a cost twice as high as these three classic manifestations all together. This should encourage the development of specific HF and CKD preventive strategies.
Pharmacological treatment patterns in heart failure: a population-based cohort study
BackgroundAlthough the efficacy and safety of existing therapies of heart failure (HF) have been demonstrated in clinical trials, little is known about the treatment patterns in clinical practice, especially in France.ObjectivesTo describe the treatment initiation patterns and the subsequent treatment changes among HF patients, in the first year following an incident hospitalization for HF, in a French real-world setting.MethodsA cohort of patients aged ≥ 40 years, with an incident hospitalization for HF between 01/01/2008 and 31/12/2013, was identified in the 1/97th permanent random sample of the French nationwide claims database and followed 1 year. HF drug exposure—beta blockers (BB), angiotensin-converting enzyme inhibitors (ACEI), angiotensin receptor blockers (ARBs), aldosterone antagonists (AA), diuretics, digoxin, or ivabradine—was assessed quarterly using a Proportion of Days Covered ≥ 66% (≥ 60 days out of the 90 days of the quarter), by considering HF drugs individually or in combination. Drug changes were assessed between each quarter.ResultsBetween 2008 and 2013, 7387 patients were included. Their mean age was 77.7 years (± 12.0 years) and 51.6% were women. During the follow-up, 24.4% died, 20% were not exposed to any HF treatment, 48.3 to 43.2% had diuretics, one third had BB or ACEI, 9% had ARB or AA, 6% had digoxin, and 2% had ivabradine. The main change occurred between the first and the second quarter for 53.1% of the initially untreated patients.ConclusionThis study provides valuable information on treatment patterns after an initial hospitalization for HF.
Bronchial Smooth Muscle Remodeling in Nonsevere Asthma
Increased bronchial smooth muscle (BSM) mass is a key feature of airway remodeling that classically distinguishes severe from nonsevere asthma. Proliferation of BSM cells involves a specific mitochondria-dependent pathway in individuals with severe asthma. However, BSM remodeling and mitochondrial biogenesis have not been examined in nonsevere asthma. We aimed to assess whether an increase in BSM mass was also implicated in nonsevere asthma and its relationship with mitochondria and clinical outcomes. We enrolled 34 never-smoker subjects with nonsevere asthma. In addition, we recruited 56 subjects with nonsevere asthma and 19 subjects with severe asthma as comparative groups (COBRA cohort [Cohorte Obstruction Bronchique et Asthme; Bronchial Obstruction and Asthma Cohort; sponsored by the French National Institute of Health and Medical Research, INSERM]). A phenotypic characterization was performed using questionnaires, atopy and pulmonary function testing, exhaled nitric oxide measurement, and blood collection. Bronchial biopsy specimens were processed for immunohistochemistry and electron microscopy analysis. After BSM remodeling assessment, subjects were monitored over a 12-month period. We identified characteristic features of remodeling (BSM area >26.6%) and increased mitochondrial number within BSM in a subgroup of subjects with nonsevere asthma. The number of BSM mitochondria was positively correlated with BSM area (r = 0.78; P < 0.001). Follow-up analysis showed that subjects with asthma with high BSM had worse asthma control and a higher rate of exacerbations per year compared with subjects with low BSM. This study reveals that BSM remodeling and mitochondrial biogenesis may play a critical role in the natural history of nonsevere asthma (Mitasthme study). Clinical trial registered with www.clinicaltrials.gov (NCT00808730).
Intra-database validation of case-identifying algorithms using reconstituted electronic health records from healthcare claims data
Background Diagnosis performances of case-identifying algorithms developed in healthcare database are usually assessed by comparing identified cases with an external data source. When this is not feasible, intra-database validation can present an appropriate alternative. Objectives To illustrate through two practical examples how to perform intra-database validations of case-identifying algorithms using reconstituted Electronic Health Records (rEHRs). Methods Patients with 1) multiple sclerosis (MS) relapses and 2) metastatic castration-resistant prostate cancer (mCRPC) were identified in the French nationwide healthcare database (SNDS) using two case-identifying algorithms. A validation study was then conducted to estimate diagnostic performances of these algorithms through the calculation of their positive predictive value (PPV) and negative predictive value (NPV). To that end, anonymized rEHRs were generated based on the overall information captured in the SNDS over time (e.g. procedure, hospital stays, drug dispensing, medical visits) for a random selection of patients identified as cases or non-cases according to the predefined algorithms. For each disease, an independent validation committee reviewed the rEHRs of 100 cases and 100 non-cases in order to adjudicate on the status of the selected patients (true case/ true non-case), blinded with respect to the result of the corresponding algorithm. Results Algorithm for relapses identification in MS showed a 95% PPV and 100% NPV. Algorithm for mCRPC identification showed a 97% PPV and 99% NPV. Conclusion The use of rEHRs to conduct an intra-database validation appears to be a valuable tool to estimate the performances of a case-identifying algorithm and assess its validity, in the absence of alternative.
Previous Drug Exposure in Patients Hospitalised for Acute Liver Injury: A Case-Population Study in the French National Healthcare Data System
Introduction Acute liver injury (ALI) is a major reason for stopping drug development or removing drugs from the market. Hospitalisation for ALI is relatively rare for marketed drugs, justifying studies in large-scale databases such as the nationwide Système National des Données de Santé (SNDS), which covers 99% of the French population. Methods SNDS was queried over 2010–2014 for all hospital admissions for acute toxic liver injuries not associated with a possible other cause, using a case–population approach. Exposures of interest were drugs dispensed from 7 to 60 days before date of admission. Individual drugs were analysed by their frequency (if five or more cases) and by the ratio of exposed cases to the number of exposed subjects and to exposed patient-time in the general population over the same timeframe. Results Over 5 years, 4807 cases of ALI were identified, mean age 54.5, 59% women, 76% exposed to at least one of 249 different drugs. Drugs most commonly identified were non-overdose paracetamol (31% of cases), esomeprazole or omeprazole (18%), phloroglucinol, domperidone, co-amoxiclav, furosemide, and atorvastatin (more than 250 cases each). When compared to population exposures, the highest per-person risks were observed with antimycobacterial antibiotics, with one case for 1000 or fewer users, followed by colestyramine and erythromycin (around 1/5300), antiepileptic drugs, anticoagulants, and anti-Alzheimer drugs (1/6000–1/10,000 users). When a person-time approach was considered, the drugs with the highest per-tablet risk were still the antituberculosis drugs, followed by a number of other antibiotics. Conclusions This nationwide study describes drugs associated with ALI, according to absolute population burden and per-patient and per-tablet risk. Some of these associations may be spurious, others causal, and others yet were unexpected. Systematic analysis of drug classes will look for outliers within each class that could raise signals of unexpected hepatic toxicity.
Type 2 Diabetes Mellitus Treatment Patterns Across Europe: A Population-based Multi-database Study
The aim of this study was to determine the similarities and differences of type 2 diabetes mellitus (T2DM) treatment patterns in daily practice in 5 European countries and whether these reflect differences in guidelines. Prescriptions for drugs used in diabetes treatment during a 5-year study period were obtained from electronic databases. Patients initiating T2DM treatment during the study period were included. An SAS analysis tool was developed to create episodes of use of drug classes, which resulted in treatment patterns. A total of 253,530 patients initiating T2DM treatment during the study period were included; 52% to 55% were male, and the mean age ranged from 62 to 67 years. Metformin was the most common initial treatment in all countries. After initial therapy, most patients in the Netherlands, Spain, and the United Kingdom switched to a combination of metformin + a sulfonylurea derivative (SU). In Italy, metformin in combination with an SU was outnumbered by “other treatment,” mainly because of repaglinide use. In France, treatments including dipeptidyl peptidase-4 inhibitors were most frequent as second- and fourth-line treatment. Metformin monotherapy was again most commonly observed as the third line of treatment in all countries. Fourth treatment was a combination of metformin + an SU in the Netherlands and Spain; in the United Kingdom and France, dipeptidyl peptidase-4 inhibitors were the most frequently used fourth line of treatment. This study provides a comprehensive overview of T2DM treatment patterns among patients initiating T2DM treatment in 5 European countries. There were differences, especially regarding the uptake of newer incretin-based treatments, which are usually prescribed as a second and/or third treatment in agreement with local guidelines. These variations reflect the differences between the national guidelines of these countries.
Clustering of prostate cancer healthcare pathways in the French National Healthcare database
Background Healthcare pathways of patients with prostate cancer are heterogeneous and complex to apprehend using traditional descriptive statistics. Clustering and visualization methods can enhance their characterization. Methods Patients with prostate cancer in 2014 were identified in the French National Healthcare database (Système National des Données de Santé—SNDS) and their data were extracted with up to 5 years of history and 4 years of follow‐up. Fifty‐one‐specific encounters constitutive of prostate cancer management were synthesized into four macro‐variables using a clustering approach. Their values over patient follow‐ups constituted healthcare pathways. Optimal matching was applied to calculate distances between pathways. Partitioning around medoids was then used to define consistent groups across four exclusive cohorts of incident prostate cancer patients: Hormone‐sensitive (HSPC), metastatic hormone‐sensitive (mHSPC), castration‐resistant (CRPC), and metastatic castration‐resistant (mCRPC). Index plots were used to represent pathways clusters. Results The repartition of macro‐variables values—surveillance, local treatment, androgenic deprivation, and advanced treatment—appeared to be consistent with prostate cancer status. Two to five clusters of healthcare pathways were observed in each of the different cohorts, corresponding for most of them to relevant clinical patterns, although some heterogeneity remained. For instance, clustering allowed to distinguish patients undergoing active surveillance, or treated according to cancer progression risk in HSPC, and patients receiving treatment for potentially curative or palliative purposes in mHSPC and mCRPC. Conclusion Visualization methods combined with a clustering approach enabled the identification of clinically relevant patterns of prostate cancer management. Characterization of these care pathways is an essential element for the comprehension and the robust assessment of healthcare technology effectiveness. Patients with prostate cancer go through multiple heterogeneous healthcare encounters. Clustering methods were used to summarize correlated encounters in macro‐variables and reconstitute patient healthcare pathways. In the second stage, clinically relevant patterns of prostate cancer management (e.g., watchful waiting and active surveillance) were revealed by applying clustering methods to these healthcare pathways according to the patient cancer stage, highlighting the interest of this approach in real‐world research.
Drug use in French children: a population-based study
Background and objectiveTo provide an overview of drug use in outpatient children in France, a population-based study using a national reimbursement claims database representative of 90% of the French population was conducted.DesignCross-sectional study performed between January and December 2011 using the EGB database (Echantillon Généraliste de Bénéficiaires), a 1/97th sample of the national healthcare insurance system beneficiaries. Drug use in children <18 years old was estimated through reimbursements for prescribed drugs excluding vaccines. Prevalences of use were calculated for different levels of the Anatomical Therapeutic Chemical classification by considering as users children who had at least one reimbursement during the study period.ResultsIn 2011, 133 800 children were included in the study. The overall prevalence of drug use was 84% and the median number of different drugs per child was 5. Drug use was greatest in children aged <2 years. The most widely used drugs were paracetamol, systemic anti-infectives, nasal corticosteroids and decongestants, and anti-histamines. 21% children <2 years received domperidone.ConclusionsThere is widespread use of medicines that are unlikely to be effective and may have significant toxicity in French children. Irrational use of medicines appears to be greatest in children aged 5 years and under.