A
Antoine Neuraz
Researcher at University of Paris
Publications - 84
Citations - 1391
Antoine Neuraz is an academic researcher from University of Paris. The author has contributed to research in topics: Medicine & Retrospective cohort study. The author has an hindex of 13, co-authored 62 publications receiving 698 citations. Previous affiliations of Antoine Neuraz include Lyon College & Paris Descartes University.
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Journal ArticleDOI
Patient Mortality Is Associated With Staff Resources and Workload in the ICU: A Multicenter Observational Study
Antoine Neuraz,Claude Guérin,Cécile Payet,Stéphanie Polazzi,Frédéric Aubrun,Frédéric Dailler,Jean-Jacques Lehot,Vincent Piriou,J. Neidecker,Thomas Rimmelé,Anne-Marie Schott,Antoine Duclos +11 more
TL;DR: This study proposes evidence-based thresholds for patient-to-caregiver ratios, above which patient safety may be endangered in the ICU, and real-time monitoring of staffing levels and workload is feasible for adjusting caregivers’ resources to patients’ needs.
Journal ArticleDOI
Association between antidepressant use and reduced risk of intubation or death in hospitalized patients with COVID-19: results from an observational study.
Nicolas Hoertel,Nicolas Hoertel,Marina Sánchez-Rico,Marina Sánchez-Rico,Raphaël Vernet,Nathanaël Beeker,Anne-Sophie Jannot,Antoine Neuraz,Antoine Neuraz,Elisa Salamanca,Nicolas Paris,Christel Daniel,Alexandre Gramfort,Guillaume Lemaitre,Mélodie Bernaux,Ali Bellamine,Cédric Lemogne,Cédric Lemogne,Guillaume Airagnes,Guillaume Airagnes,Anita Burgun,Frédéric Limosin,Frédéric Limosin +22 more
TL;DR: In this paper, the potential usefulness of antidepressant use in patients hospitalized for COVID-19 in an observational multicenter retrospective cohort study conducted at AP-HP Greater Paris University hospitals was examined.
Journal ArticleDOI
A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse.
Nicolas Garcelon,Antoine Neuraz,Rémi Salomon,Hassan Faour,Vincent Benoit,Arthur Delapalme,Arnold Munnich,Anita Burgun,Bastien Rance +8 more
TL;DR: Dr. Warehouse is dedicated to translational research with cohort recruitment capabilities, high throughput phenotyping and patient centric views (including similarity metrics among patients), and features leverage Natural Language Processing based on the extraction of UMLS® concepts, as well as negation and family history detection.
Journal ArticleDOI
Phenome-Wide Association Studies on a Quantitative Trait: Application to TPMT Enzyme Activity and Thiopurine Therapy in Pharmacogenomics
Antoine Neuraz,Laurent Chouchana,Georgia Malamut,Christine Le Beller,Denis Roche,Philippe Beaune,P. Degoulet,Anita Burgun,Marie-Anne Loriot,Paul Avillach +9 more
TL;DR: New methods to perform PheWAS based on ICD-10 codes and biological test results, and to use a quantitative trait as the selection criterion to identify associated phenotypes are developed.
Journal ArticleDOI
What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask.
Isaac S. Kohane,Bruce J. Aronow,Paul Avillach,Brett K. Beaulieu-Jones,Riccardo Bellazzi,Robert L. Bradford,Gabriel A. Brat,Mario Cannataro,James J. Cimino,Noelia García-Barrio,Nils Gehlenborg,Marzyeh Ghassemi,Alba Gutiérrez-Sacristán,David A. Hanauer,John H. Holmes,Chuan Hong,Jeffrey G. Klann,Ne Hooi Will Loh,Yuan Luo,Kenneth D. Mandl,Mohamad Daniar,Jason H. Moore,Shawn N. Murphy,Antoine Neuraz,Kee Yuan Ngiam,Gilbert S. Omenn,Nathan Palmer,Lav P Patel,Miguel Pedrera-Jiménez,Piotr Sliz,Andrew M South,Amelia L.M. Tan,Amelia L.M. Tan,Deanne Taylor,Bradley W Taylor,Carlo Torti,Andrew Vallejos,Kavishwar B. Wagholikar,Griffin M. Weber,Tianxi Cai +39 more
TL;DR: In this article, the authors distill from the broader informatics literature six key considerations that are crucial for appraising studies utilizing EHR data: data completeness, data collection and handling (eg, transformation), data type (ie, codified, textual), robustness of methods against EHR variability (within and across institutions, countries, and time), transparency of data and analytic code, and the multidisciplinary approach.