Variable selection on large case‐crossover data: application to a registry‐based study of prescription drugs and road traffic crashes

Avalos, Marta; Orriols, Ludivine; Pouyes, Hélène; Grandvalet, Yves; Thiessard, Frantz; Lagarde, Emmanuel

doi:10.1002/pds.3539

Cited by 11 publications

(7 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To circumvent this problem, we used the Bolasso (bootstrap-enhanced least absolute shrinkage operator) method [31]. Only exposures frequently chosen by the Lasso analysis over the bootstrap samples were selected, which improved the stability of the results [32]. In the Bolasso procedure, 2 parameters have to be tuned.…”

Section: Methodsmentioning

confidence: 99%

Prescription medicine use by pedestrians and the risk of injurious road traffic crashes: A case-crossover study

et al. 2017

Self Cite

View full text Add to dashboard Cite

BackgroundWhile some medicinal drugs have been found to affect driving ability, no study has investigated whether a relationship exists between these medicines and crashes involving pedestrians. The aim of this study was to explore the association between the use of medicinal drugs and the risk of being involved in a road traffic crash as a pedestrian.Methods and findingsData from 3 French nationwide databases were matched. We used the case-crossover design to control for time-invariant factors by using each case as its own control. To perform multivariable analysis and limit false-positive results, we implemented a bootstrap version of Lasso. To avoid the effect of unmeasured time-varying factors, we varied the length of the washout period from 30 to 119 days before the crash. The matching procedure led to the inclusion of 16,458 pedestrians involved in an injurious road traffic crash from 1 July 2005 to 31 December 2011. We found 48 medicine classes with a positive association with the risk of crash, with median odds ratios ranging from 1.12 to 2.98. Among these, benzodiazepines and benzodiazepine-related drugs, antihistamines, and anti-inflammatory and antirheumatic drugs were among the 10 medicines most consumed by the 16,458 pedestrians. Study limitations included slight overrepresentation of pedestrians injured in more severe crashes, lack of information about self-medication and the use of over-the-counter drugs, and lack of data on amount of walking.ConclusionsTherapeutic classes already identified as impacting the ability to drive, such as benzodiazepines and antihistamines, are also associated with an increased risk of pedestrians being involved in a road traffic crash. This study on pedestrians highlights the necessity of improving awareness of the effect of these medicines on this category of road user.

show abstract

Section: Methodsmentioning

confidence: 99%

Prescription medicine use by pedestrians and the risk of injurious road traffic crashes: A case-crossover study

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…Some impairments have been reported, for example, the performance of psychomotor tasks (George & Bayliff, 2003) and driving, cognitive impairments, and in some patients may increase the risk of respiratory depression (Manikandan, 2014;Martinussen & Halvorsen, 2013). The abuse of benzodiazepines sometimes may lead to road traffic accidents (Avalos et al, 2014;Johnell, Laflamme, Möller, & Monárrez-Espino, 2014;Orriols et al, 2011) and drug dependence (Chaudhury, Meshram, & Azim, 2013;Piccoli et al, 2014). In addition to their use in medical treatment, because of their hypnotic and sedative effects, some feed enterprises add these drugs to their animal feeds.…”

Section: Introductionmentioning

confidence: 98%

Development of an ELISA for nitrazepam based on a monoclonal antibody

Guan

Guo

Liu

et al. 2015

Food and Agricultural Immunology

View full text Add to dashboard Cite

We report the production of a specific monoclonal antibody against Nitrazepam (NZP). First, the hapten 7-aminonitrazepam (7-ANZP) was synthesized, then the hapten was coupled with bovine serum albumin and ovalbumin by the diazotization method, and used as immunogen and coating antigen. Factors affecting binding, ionic strength, pH, and methanol concentration in phosphate-buffered saline, were optimized. The monoclonal antibody had a satisfactory IC 50 of 0.2 ng/mL for NZP. The cross-reactivities with other analogs were all lower than 0.1% except for 23% with 7-NZP, which suggested that the enzyme-linked immunosorbent assay method possessed high specificity. The recoveries were in the range of 84-95%, indicating that the method could be applied for the detection of NZP in urine.

show abstract

“…In addition to the use of various analytical methods for sensitivity analyses, studies have concerned the determination of the denominator in case‐population studies or the effect of exposures to different drug classes and risk of car accidents, using links to external registries and original analytical methods …”

Section: Some Examples Of Studiesmentioning

confidence: 99%

The national healthcare system claims databases in France, SNIIRAM and EGB: Powerful tools for pharmacoepidemiology

Bezin

Duong

Lassalle

et al. 2017

Pharmacoepidemiology and Drug

426

369

View full text Add to dashboard Cite

The French health care system is based on universal coverage by one of several health care insurance plans. The SNIIRAM database merges anonymous information of reimbursed claims from all these plans, linked to the national hospital-discharge summaries database system (PMSI) and the national death registry. It now covers 98.8% of the French population, over 66 million persons, from birth (or immigration) to death (or emigration), making it possibly the world's largest continuous homogeneous claims database. The database includes demographic data; health care encounters such as physician or paramedical visits, medicines, medical devices, and lab tests (without results); chronic medical conditions (ICD10 codes); hospitalisations with ICD10 codes for primary, linked and associated diagnoses, date and duration, procedures, diagnostic-related groups, and cost coding; date but currently not cause of death. The power of the database is correlatively great, and its representativeness is near perfect, since it essentially includes the whole country's population. The main difficulty in using the database, beyond its sheer size and complexity, is the administrative process necessary to access it. Recent legislative advances are making this easier. EGB (Echantillon Généraliste de Bénéficiaires) is the 1/97th random permanent representative sample of SNIIRAM, with planned 20-year longitudinal data (10 years at this time). Access time is 1 to 3 months, but its power is less (780 000 subjects). This is enough to study common issues with older drugs but may be limited for new products or rare events.

show abstract

Variable selection on large case‐crossover data: application to a registry‐based study of prescription drugs and road traffic crashes

Abstract: These results, in relation to other findings in the literature, provide new insight and may generate new hypotheses on the association between prescription drugs use and impaired driving ability.

Cited by 11 publications

References 55 publications

Prescription medicine use by pedestrians and the risk of injurious road traffic crashes: A case-crossover study

Prescription medicine use by pedestrians and the risk of injurious road traffic crashes: A case-crossover study

Development of an ELISA for nitrazepam based on a monoclonal antibody

The national healthcare system claims databases in France, SNIIRAM and EGB: Powerful tools for pharmacoepidemiology

Contact Info

Product

Resources

About