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Publication
Featured researches published by Philippe Richard.
PLOS ONE | 2016
Sébastien Bailly; Marie Destors; Yves Grillet; Philippe Richard; Bruno Stach; Isabelle Vivodtzev; Jean-François Timsit; Patrick Levy; Renaud Tamisier; Jean-Louis Pépin
Background The classification of obstructive sleep apnea is on the basis of sleep study criteria that may not adequately capture disease heterogeneity. Improved phenotyping may improve prognosis prediction and help select therapeutic strategies. Objectives: This study used cluster analysis to investigate the clinical clusters of obstructive sleep apnea. Methods An ascending hierarchical cluster analysis was performed on baseline symptoms, physical examination, risk factor exposure and co-morbidities from 18,263 participants in the OSFP (French national registry of sleep apnea). The probability for criteria to be associated with a given cluster was assessed using odds ratios, determined by univariate logistic regression. Results: Six clusters were identified, in which patients varied considerably in age, sex, symptoms, obesity, co-morbidities and environmental risk factors. The main significant differences between clusters were minimally symptomatic versus sleepy obstructive sleep apnea patients, lean versus obese, and among obese patients different combinations of co-morbidities and environmental risk factors. Conclusions Our cluster analysis identified six distinct clusters of obstructive sleep apnea. Our findings underscore the high degree of heterogeneity that exists within obstructive sleep apnea patients regarding clinical presentation, risk factors and consequences. This may help in both research and clinical practice for validating new prevention programs, in diagnosis and in decisions regarding therapeutic strategies.
European Respiratory Journal | 2017
Camille Garoute; I. Rault; Marine Gosset-woimant; Damien Basille; Bruno Philippe; Gilles Mangapian; Hervé Le Floch; Sophie Laroumagne; Hughes Morel; Philippe Richard; Thomas Flament; François Goupil; Xavier Dhalluin; Arnaud Scheerperel; Isabelle Huet; Alexandre Ampere; Emmanuelle Lecuyer; R. Suguenot; C. Dayen; Vincent Jounieaux; Y. Douadi; Melanie Drucbert
Introduction: Parapneumonic pleuritis are frequently associated with high morbidity and severe sequelae. Management of this complication include early pleural evacuation. Guidelines do not currently recommend the use of lung ultrasound (LUS) as an alternative to chest X-ray (CXR) or chest computerized tomography (CT) scan for the diagnosis of pleural effusion. Chest x-ray (CXR) is the simplest diagnostic tool of Community Acquired Pneumonia (CAP), but it has some limitation. Therefore, the aim of this study is evaluate pleural sequelae with early use of LUS in detection Methods: In this multicentric prospective study, a consecutive sample of suspected patients with CAP was underwent daily LUS. Each patient received a chest x-ray and ultrasound on admission every day. The analysis of the pleural fluid was left to the discretion of the physician . The patients were monitored only 4 days if they had no para pneumonic pleurisy and benefited from an appropriate management if not. Complete respiratory explorations were carried out at 3 and 6 months. Results: In this preliminary reports , 65 patients with CAP were enroled : 48,3% females , mean age 64,4 years Sensitivity of LUS and CXR in detection of parapneumonic effusion were 91% and 40% respectively. Specificity of CXR was 40% while the LUS specificity was 92%. The evolution of pleurisy was unpredictable over the observation period with a significant diagnostic delay of the CXR. No pleurisy occurred after the 4-day period, the failure was 4.6% Compared with nearly 20% of the literature. Conclusion: Findings of the present study demonstrated high incidence of parapneumonic effusion and the higher diagnostic accuracy of LUS versus CXR. A daily echography is necessary and sufficient to detect the effusion and take care of it.
Sleep Medicine | 2015
Marie Destors; Renaud Tamisier; Marc Sapene; Yves Grillet; Jean-Philippe Baguet; Philippe Richard; Janie Girey-Rannaud; S. Dias-Domingos; Francis L. Martin; Bruno Stach; Bruno Housset; Patrick Levy; Jean-Louis Pépin
Neurophysiologie Clinique-clinical Neurophysiology | 2018
J.L. Pépin; Marc Sapene; Meriem Benmerad; Yves Grillet; Bruno Stach; Philippe Richard; J.F. Muir; Ingrid Jullian-Desayes; Marie Joyeux-Faure; Renaud Tamisier
Revue Des Maladies Respiratoires | 2017
Lionel Lerousseau; Gilles Jebrak; F. Le Guillou; A. Palot; D. Piperno; Gilles Devouassoux; L. Dussart; Edith Maëtz; Dominique Muller; A. Scherpeerel; A. Boileau; Philippe Richard; G. Giannoli; D. Perrin; E. Leutenegger
European Respiratory Journal | 2017
Gilles Jebrak; Lionel Lerousseau; Daniel Piperno; A. Palot; Frederic Le Guillou; Gilles Devouassoux; Philippe Richard; Luc Dussart; Didier Perrin; Gilles Giannoli; Eric Leutenegger; Edith Maëtz; Dominique Muller
European Respiratory Journal | 2017
Jean-Louis Pépin; Marc Sapene; Meriem Benmerad; Sébastien Bailly; Yves Grillet; Bruno Stach; Philippe Richard; Jean François Muir; Renaud Tamisier
/data/revues/17694493/v13i1/S176944931600039X/ | 2016
Sebastien Baillly; Marie Destors; Yves Grillet; Philippe Richard; Bruno Stach; Isabelle Vivodtzev; Jean-François Timsit; Patrick Levy; Renaud Tamisier; Jean-Louis Pépin
Neurophysiologie Clinique-clinical Neurophysiology | 2015
Renaud Tamisier; Philippe Richard; Marc Sapene; Bruno Stach; F. Leguillou; Yves Grillet; Jean-Philippe Baguet; J.F. Muir; Jean-Louis Pepin
European Respiratory Journal | 2014
Marie Destors; Renaud Tamisier; Marc Sapene; Yves Grillet; Jean-Philippe Baguet; Philippe Richard; Janie Girey-Rannaud; Sonia Dias-Domingos; Francis L. Martin; Bruno Stach; Bruno Housset; Patrick Levy; Jean-Louis Pépin