Nathan Peiffer-Smadja is a doctor specialized in Internal Medicine and Infectious Diseases and holds a PhD in Public Health.He is a Honorary Clinical Research Fellow at Imperial College London in the National Institute of Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and AMR and a research associate in the Inserm Infection, Antimicrobials, Modelling, Evolution (IAME) laboratory. He works as an Associate Professor in the Infectious and Tropical Diseases Department at the Bichat - Claude Bernard Academic Hospital, AP-HP, Paris, France.

His research focuses on the interface between electronic clinical decision support systems (CDSS) and implementation science, used in order to improve the day-to-day clinical management of infectious diseases, tropical diseases and emerging diseases. He has 8 years of clinical experience in French teaching hospitals and 4 years of experience in clinical research, mainly on the ways to optimize the use of antibiotics and in improving the treatment of COVID-19.

Selected publications
Antimicrobial stewardship
Ahuja S, Peiffer-Smadja N, et al. Use of Feedback Data to Reduce Surgical Site Infections and Optimize Antibiotic Use in Surgery: A Systematic Scoping Review. Annals of Surgery, 2021
Peiffer-Smadja N, et al. Performance and impact of a multiplex PCR in ICU patients with ventilator-associated pneumonia or ventilated hospital-acquired pneumonia. Critical Care, 2020
Peiffer-Smadja N, et al. Paving the way for the implementation of a decision support system for antibiotic prescribing in primary care in West Africa: assessing contextual relevance and fit. Journal of Medical Internet Research, 2020
Peiffer-Smadja N, et al. Preventing and Managing Urinary Tract Infections: Enhancing the Role of Community Pharmacists-A Mixed Methods Study. Antibiotics (Basel), 2020
Peiffer-Smadja N, et al. Machine learning in the clinical microbiology laboratory: has the time come for routine practice? Clinical Microbiology and Infection, 2020
Peiffer-Smadja N, et al. Machine learning for clinical decision support in infectious diseases: A narrative review of current applications. Clinical Microbiology and Infection, 2019
COVID-19
Peiffer-Smadja N et al. Emergence of E484K Mutation Following Bamlanivimab Monotherapy among High-Risk Patients Infected with the Alpha Variant of SARS-CoV-2. Viruses, 2021
Fiolet T, Kherabi Y, MacDonald CJ, Ghosn J, Peiffer-Smadja N. Comparing COVID-19 vaccines for their characteristics, efficacy and effectiveness against SARS-CoV-2 and variants of concern: a narrative review. Clinical Microbiology and Infection, 2021
Ader F, Bouscambert-Duchamp M, Hites M, Peiffer-Smadja N, et al. Remdesivir plus standard of care versus standard of care alone for the treatment of patients admitted to hospital with COVID-19 (DisCoVeRy): a phase 3, randomised, controlled, open-label trial. Lancet Infectious Diseases, 2021
Ader F, Peiffer-Smadja N et al. An open-label randomized controlled trial of the effect of lopinavir/ritonavir, lopinavir/ritonavir plus IFN-β-1a and hydroxychloroquine in hospitalized patients with COVID-19. Clinical Microbiology and Infection, 2021
Peiffer-Smadja N, et al. Anticovid, a comprehensive open-access real-time platform of registered clinical studies for COVID-19. Journal of Antimicrobial Chemotherapy, 2020
Meppiel E, Peiffer-Smadja N et al. Neurological manifestations associated with COVID-19: a multicentric registry. Clinical Microbiology and Infection, 2020