10 results on '"Renaud Perichon"'
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2. Patients Drug Exchange Forum Corpus: Toward Drug Safety Signals Detection.
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Renaud Perichon, Emmanuel Chazard, and Régis Beuscart
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- 2015
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3. Quality assurance: automatic detection of inappropriate prescriptions in the elderly.
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Laurie Ferret, Jean-Baptiste Beuscart, Grégoire Ficheur, Renaud Perichon, and Régis Beuscart
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- 2014
4. Co-prescriptions of psychotropic drugs to older patients in a general hospital
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Régis Beuscart, Jean-Baptiste Beuscart, Renaud Perichon, Laurie Ferret, Emmanuel Chazard, François Puisieux, Grégoire Ficheur, M Miqueu, and Michel Luyckx
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medicine.medical_specialty ,030214 geriatrics ,business.industry ,Hospital setting ,Hospitalized patients ,03 medical and health sciences ,0302 clinical medicine ,Psychotropic drug ,Older patients ,Internal medicine ,Hospital discharge ,Sedative Effects ,Medicine ,030212 general & internal medicine ,Geriatrics and Gerontology ,Medical prescription ,General hospital ,business ,Psychiatry ,Gerontology - Abstract
Introduction The prescription of psychotropic drugs to older patients in a hospital setting has not been extensively characterized. The objective was to describe the inappropriate co-prescriptions of psychotropic drugs in hospitalized patients aged 75 and over. Methods By analysing the medical database from 222-bed general hospital in France, we reviewed a total of 11,929 stays of at least 3 days by patients aged 75 and over. Prescriptions and co-prescriptions of psychotropic drugs were identified automatically. Anticholinergic drugs with sedative effects were considered as psychotropic drugs. An expert review was performed for stays with the co-prescription of three or more psychotropic drugs to identify inappropriate co-prescriptions. Results Administration of a psychotropic drug was identified in 5475 stays (45.9% of the total number of stays), of which 1526 (12.8% of the total) featured at least one co-prescription. Co-prescriptions of three or more psychotropic drugs for at least 3 days were identified in 374 stays (3.1% of the total). Most of these co-prescriptions ( n =334; 89.2%) were considered inappropriate because of the combination of at least two drugs from the same psychotropic class ( n =269), the absence of a clear indication for a psychotropic drug ( n =173) and a history of falls ( n =86). However, the co-prescriptions were maintained after hospital discharge in 77.4% of cases. Conclusion The co-prescriptions of psychotropic drugs should be re-evaluated in older hospitalized patients.
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- 2017
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5. Incident delirium in acute geriatric medicine: Are iatrogenic causes really important?
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Eric Boulanger, François Puisieux, Y. Boumbar, Jean-Baptiste Beuscart, Renaud Perichon, A. Charpentier, Cédric Gaxatte, M. Lemaitre, and J. Convain
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Geriatrics ,medicine.medical_specialty ,Pediatrics ,business.industry ,Incidence (epidemiology) ,03 medical and health sciences ,0302 clinical medicine ,Adverse drug event ,Assessment methods ,medicine ,Delirium ,030212 general & internal medicine ,Geriatrics and Gerontology ,medicine.symptom ,Intensive care medicine ,business ,Gerontology ,030217 neurology & neurosurgery ,Confusion - Abstract
Background The consequences of an incident delirium (ID) are multiple and severe among the hospitalized elderly patients. Many medications are recognized risk factors for delirium. The aim of this study was to determine the incidence of ID in an acute geriatric unit and to assess the role of iatrogenic factors among the precipitating factors of ID. Methods The study included 369 consecutive incident patients who were admitted in our Acute Geriatric Unit between January and April 2013. Delirium was diagnosed with the Confusion Assessment Method on a daily basis. The Naranjo criteria were used to determine iatrogenic causes of the ID. Results During the study, 34 (9.2%) patients exhibited 35 ID. A multifactorial origin was found in 26 (75%) of these ID. A therapeutic change likely to promote an ID was found for 11 of these ID. According to the criteria of Naranjo, seven (20%) of these ID were likely to have iatrogenic origins. Only one of these seven ID was caused exclusively by iatrogenic factors. Medication was less frequently implicated as a precipitating factor of ID than metabolic factors ( n =33; 94.4%), sources of discomfort ( n =29; 82.8%), or acute medical problems ( n =30; 85.7%). Conclusion The incidence of ID was about 10% in our acute geriatric unit. Iatrogenic factors were implicated in only one out of five ID and they were not among the three most common precipitating factors of ID.
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- 2016
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6. Hospital-Acquired Hyperkalemia Events in Older Patients Are Mostly Due to Avoidable, Multifactorial, Adverse Drug Reactions
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Laurine Robert, Grégoire Ficheur, Jean-Baptiste Beuscart, Juliette Gellens, Michel Luyckx, Renaud Perichon, François Puisieux, Sophie Gautier, Bertrand Décaudin, and Emmanuel Chazard
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Drug ,Male ,medicine.medical_specialty ,Hyperkalemia ,Drug-Related Side Effects and Adverse Reactions ,Hospital setting ,media_common.quotation_subject ,Iatrogenic Disease ,urologic and male genital diseases ,030226 pharmacology & pharmacy ,Retrospective data ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Older patients ,Internal medicine ,medicine ,Humans ,Pharmacology (medical) ,Drug reaction ,Severe complication ,media_common ,Aged ,Retrospective Studies ,Pharmacology ,Aged, 80 and over ,business.industry ,Acute kidney injury ,nutritional and metabolic diseases ,Acute Kidney Injury ,medicine.disease ,female genital diseases and pregnancy complications ,Hospitalization ,030220 oncology & carcinogenesis ,Female ,medicine.symptom ,business - Abstract
Drug-induced hyperkalemia is a frequent and severe complication in the hospital setting. Other risk factors may also induce hyperkalemia but the combination of drugs and precipitating factors has not been extensively studied. The aim was to identify drug-induced hyperkalemia events in hospitalized older patients and to describe their combinations with precipitating factors. Two experts independently analyzed retrospective data of patients aged 75 years or more. Experts identified 471 hyperkalemia events and concluded that 379 (80.5%) were induced by drugs. The cause was multifactorial (i.e., at least one drug with a precipitating factor) in 300 (79.2%) of the 379 drug-induced hyperkalemia. Most of the drug-induced hyperkalemia events were avoidable (79.9%)-mainly because of the multifactorial cause (e.g., dosage adaptation during acute kidney injury). Drug-induced hyperkalemia events are frequently combined with precipitating factors in hospitalized older patients and their prevention should focus on these combinations.
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- 2018
7. ClinMine: Optimizing the Management of Patients in Hospital
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Renaud Perichon, G. Ficheur, Cristina Cozma, Emmanuel Chazard, Régis Bordet, Alexandru Amarioarei, Julie Jacques, Vincent Vandewalle, Porpimol Chaiwuttisak, Apolline Lansiaux, Maxence Vandromme, Clarisse Dhaenens, Julien Taillard, Laetitia Jourdan, Arnaud Hansske, Marie-Eléonore Kessaci, Cristian Preda, David Delerue, Operational Research, Knowledge And Data (ORKAD), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Université catholique de Lille (UCL), Université de Lille, MOdel for Data Analysis and Learning (MODAL), Laboratoire Paul Painlevé (LPP), Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-École polytechnique universitaire de Lille (Polytech Lille), Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Alicante [Seclin], Faculté de Médecine Henri Warembourg - Université de Lille, Département de Pharmacologie Médicale [Lille] (Pôle Recherche), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Faculté de Médecine Henri Warembourg - Université de Lille, Génétique moléculaire et approches thérapeutiques des hémopathies malignes, IRCL-Institut National de la Santé et de la Recherche Médicale (INSERM), Groupe Hospitalier de l'Institut Catholique de Lille (GHICL), Vandewalle, Vincent, Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Paul Painlevé - UMR 8524 (LPP), Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-École polytechnique universitaire de Lille (Polytech Lille)-Université de Lille, Sciences et Technologies, Laboratoire Paul Painlevé - UMR 8524 (LPP), Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Université Lille 2 - Faculté de Médecine, Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université Lille 2 - Faculté de Médecine, Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189 (CRIStAL), Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Ecole Centrale de Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Ecole Centrale de Lille, Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Santé publique : épidémiologie et qualité des soins-EA 2694 (CERIM), Santé publique : épidémiologie et qualité des soins-EA 2694 (CERIM), Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Ecole Centrale de Lille, Institut de Biologie du Développement de Marseille (IBDM), Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Centre National de la Recherche Scientifique (CNRS), Groupe Hospitalier de l'Institut Catholique Lillois (GHICL), and Faculté Libre de Médecine
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Hospital information system ,Computer science ,Biomedical Engineering ,Biophysics ,02 engineering and technology ,[INFO] Computer Science [cs] ,Machine learning ,computer.software_genre ,Patient pathway ,Biclustering ,03 medical and health sciences ,0302 clinical medicine ,statistical analysis ,Agency (sociology) ,0202 electrical engineering, electronic engineering, information engineering ,[INFO]Computer Science [cs] ,030212 general & internal medicine ,Management process ,patient pathway ,temporal data ,[SDV.MHEP] Life Sciences [q-bio]/Human health and pathology ,business.industry ,Functional data analysis ,Statistical model ,heterogeneous data ,Temporal database ,[STAT] Statistics [stat] ,[STAT]Statistics [stat] ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,electronic health records ,020201 artificial intelligence & image processing ,optimization algorithms ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Artificial intelligence ,business ,computer ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
International audience; A better understanding of “patient pathway” thanks to data analysis can lead to better treatments for patients. The ClinMine project, supported by the The French National Research Agency (ANR), aims at proposing, from various case studies, algorithmic and statistical models able to handle this type of pathway data, focusing primarily on hospital data. This article presents two of these case studies, focusing on the integration of temporal data within analysis. First, the hypothesis that some aspects of the patient pathway can be described, even predicted, from the management process of the hospital medical mail is studied. Therefore a specific functional data analysis is driven, and several types of patients have been detected. The second case study deals with the detection of profiles through a biclustering of the patients. The difficulty to simultaneously deal with heterogeneous data, including temporal data is exposed and a method is proposed. Results on real data show the effectiveness of the proposed method.
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- 2018
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8. Cares: an interactive tool for case-crossover analyses of electronic medical records for patient safety
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Régis Beuscart, Vassilis Koutkias, Joris Muller, Laurie Ferret, Grégoire Ficheur, Emmanuel Chazard, Alexandre Caron, Renaud Perichon, Jean-Baptiste Beuscart, Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Université de Lille, University of Macedonia [Thessaloniki] (UoM), CHU Lille, Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS], METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694, and University of Macedonia [Thessaloniki] [UoM]
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Risk ,Databases, Factual ,adverse event ,Hemorrhage ,Health Informatics ,030204 cardiovascular system & hematology ,Research and Applications ,Health informatics ,Column (database) ,03 medical and health sciences ,Patient safety ,0302 clinical medicine ,big data ,Thromboembolism ,medicine ,Electronic Health Records ,Humans ,medical informatics ,030212 general & internal medicine ,Medical diagnosis ,data analytics ,Cross-Over Studies ,business.industry ,Medical record ,Usability ,Odds ratio ,clinical epidemiology ,medicine.disease ,Data science ,3. Good health ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Medical emergency ,User interface ,Epidemiologic Methods ,business ,Software - Abstract
Background: The significant risk of adverse events following medical procedures supports a clinical epidemiological approach based on the analyses of collections of electronic medical records. Data analytical tools might help clinical epidemiologists develop more appropriate case-crossover designs for monitoring patient safety. Objective: To develop and assess the methodological quality of an interactive tool for use by clinical epidemiologists to systematically design case-crossover analyses of large electronic medical records databases. Material and Methods: We developed IT-CARES, an analytical tool implementing case-crossover design, to explore the association between exposures and outcomes. The exposures and outcomes are defined by clinical epidemiologists via lists of codes entered via a user interface screen. We tested IT-CARES on data from the French national inpatient stay database, which documents diagnoses and medical procedures for 170 million inpatient stays between 2007 and 2013. We compared the results of our analysis with reference data from the literature on thromboembolic risk after delivery and bleeding risk after total hip replacement. Results: IT-CARES provides a user interface with 3 columns: (i) the outcome criteria in the left-hand column, (ii) the exposure criteria in the right-hand column, and (iii) the estimated risk (odds ratios, presented in both graphical and tabular formats) in the middle column. The estimated odds ratios were consistent with the reference literature data. Discussion: IT-CARES may enhance patient safety by facilitating clinical epidemiological studies of adverse events following medical procedures. The tool’s usability must be evaluated and improved in further research.
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- 2017
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9. Estimating the number of usability problems affecting medical devices: modelling the discovery matrix
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Vincent Vandewalle, Alexandre Caron, Coralie Delettrez, Renaud Périchon, Sylvia Pelayo, Alain Duhamel, and Benoit Dervaux
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Usability testing ,Medical device ,Missing data ,Bayesian statistics ,Maximum likelihood ,Medicine (General) ,R5-920 - Abstract
Abstract Background Usability testing of medical devices are mandatory for market access. The testings’ goal is to identify usability problems that could cause harm to the user or limit the device’s effectiveness. In practice, human factor engineers study participants under actual conditions of use and list the problems encountered. This results in a binary discovery matrix in which each row corresponds to a participant, and each column corresponds to a usability problem. One of the main challenges in usability testing is estimating the total number of problems, in order to assess the completeness of the discovery process. Today’s margin-based methods fit the column sums to a binomial model of problem detection. However, the discovery matrix actually observed is truncated because of undiscovered problems, which corresponds to fitting the marginal sums without the zeros. Margin-based methods fail to overcome the bias related to truncation of the matrix. The objective of the present study was to develop and test a matrix-based method for estimating the total number of usability problems. Methods The matrix-based model was based on the full discovery matrix (including unobserved columns) and not solely on a summary of the data (e.g. the margins). This model also circumvents a drawback of margin-based methods by simultaneously estimating the model’s parameters and the total number of problems. Furthermore, the matrix-based method takes account of a heterogeneous probability of detection, which reflects a real-life setting. As suggested in the usability literature, we assumed that the probability of detection had a logit-normal distribution. Results We assessed the matrix-based method’s performance in a range of settings reflecting real-life usability testing and with heterogeneous probabilities of problem detection. In our simulations, the matrix-based method improved the estimation of the number of problems (in terms of bias, consistency, and coverage probability) in a wide range of settings. We also applied our method to five real datasets from usability testing. Conclusions Estimation models (and particularly matrix-based models) are of value in estimating and monitoring the detection process during usability testing. Matrix-based models have a solid mathematical grounding and, with a view to facilitating the decision-making process for both regulators and device manufacturers, should be incorporated into current standards.
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- 2020
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10. Acceptabilité de la vaccination contre les papillomavirus : l’apport de l’analyse des forums santé
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Alexandre Caron, L. Ferreira-Carreira, Renaud Perichon, M.B. Ben Hadj Yahia, and Benoît Dervaux
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Epidemiology ,Political science ,Public Health, Environmental and Occupational Health ,Humanities - Abstract
Introduction L’analyse des opinions spontanement exprimees sur Internet permet d’apprecier l’acceptabilite des politiques preventives, en complement de l’approche classique par questionnaire. L’objectif de ce travail est d’analyser les opinions concernant la vaccination contre les papillomavirus humains (HPV), exprimees par les internautes sur le forum de discussions en ligne du site d’information en sante Doctissimo ® . Methode Les donnees correspondent aux 14 742 messages, regroupes en 234 sujets traitant de la vaccination anti-HPV, publies entre le 23 novembre 2006 et le 5 janvier 2014. La grille d’analyse regroupe les arguments exprimes par les internautes pour justifier leurs opinions vis-a-vis du vaccin. Ces arguments sont classes en trois items : securite, efficacite et perceptions. La portee du contenu d’un message est appreciee grâce au nombre de vues. Plus de 45 % des messages sont informatifs (6634 messages). Chaque message est vu en moyenne 3625 fois. Resultats L’opinion exprimee est soit positive (44 %), soit negative (45 %), soit neutre (11 %). Les opinions negatives sont passees de 29 % des avis exprimes en 2006 a 44 % en 2013 en atteignant un pic a 56 % en 2011. Les arguments avances par les « anti-vaccinaux » font le plus souvent appel a la securite vaccinale (42 % versus 31 %, p −15 ) et aux perceptions vis-a-vis du vaccin (40 % versus 31 %, p −10 ) ; ceux exprimes par les « pro-vaccinaux » se rapportent a l’efficacite du vaccin (38 % versus 18 %, p −15 ). Conclusion Cette etude montre la possibilite de structurer l’information contenue dans les forums de discussion afin d’analyser l’opinion des internautes concernant la vaccination ainsi que son evolution au cours du temps.
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- 2014
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