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Dive into the research topics where Marine Giard is active.

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Featured researches published by Marine Giard.


JAMA Internal Medicine | 2011

Risk of Influenza-Like Illness in an Acute Health Care Setting During Community Influenza Epidemics in 2004-2005, 2005-2006, and 2006-2007: A Prospective Study

Philippe Vanhems; Nicolas Voirin; Sylvain Roche; Vanessa Escuret; Corinne Régis; Christine Gorain; S. Pires-Cronenberger; Marine Giard; Bruno Lina; Fatiha Najioullah; Béatrice Barret; Laurence Pollissard; Sandra David; Marie-Noelle Crozet; Brigitte Comte; Bernard Hirschel; René Ecochard

BACKGROUND The person-to-person transmission of influenza-like illness (ILI) and influenza has been described mostly in long-term care units. Studies in acute hospital settings are rare and mostly retrospective. METHODS We prospectively estimated the relative risk (RR) of hospital-acquired (HA) ILI during hospitalization according to in-hospital exposures to contagious individuals. Surveillance of ILI and laboratory-confirmed influenza was undertaken at Edouard Herriot Hospital (1100 beds) during 3 influenza seasons. A total of 21 519 patients and 2153 health care workers (HCWs) from 2004 to 2007 were included. The RR of HA-ILI in patients was calculated according to exposure to other contagious patients and HCWs. RESULTS For patients exposed to at least 1 contagious HCW compared with those with no documented exposure in the hospital, the RR of HA-ILI was 5.48 (95% confidence interval [CI], 2.09-14.37); for patients exposed to at least 1 contagious patient, the RR was 17.96 (95% CI, 10.07-32.03); and for patients exposed to at least 1 contagious patient and 1 contagious HCW, the RR was 34.75 (95% CI, 17.70-68.25). CONCLUSIONS Hospitalized patients exposed to potentially infectious patients and HCWs with ILI inside the hospital are at greater risk for HA-ILI. Such results identify priorities regarding preventive measures for seasonal or pandemic influenza.


Journal of Critical Care | 2008

Early-and late-onset ventilator-associated pneumonia acquired in the intensive care unit : comparison of risk factors

Marine Giard; Alain Lepape; Bernard Allaouchiche; Claude Guérin; Jean-Jacques Lehot; Marc-Olivier Robert; Gerard Fournier; Didier Jacques; Dominique Chassard; Pierre-Yves Gueugniaud; François Artru; Paul Petit; Dominique Robert; Ismael Mohammedi; R. Girard; Jean-Charles Cêtre; Marie-Christine Nicolle; Jacqueline Grando; Jacques Fabry; Philippe Vanhems

PURPOSE To compare risk factors of early- (E) and late-onset (L) ventilator-associated pneumonia (VAP). MATERIALS AND METHODS An epidemiological survey based on a nosocomial infection surveillance program of 11 intensive care units (ICUs) of university teaching hospitals in Lyon, France, was conducted. A total of 7236 consecutive ventilated patients, older than 18 years and hospitalized in ICUs for at least 48 hours, were studied between 1996 and 2002. Data during ICU stay, patient-dependent risk factors, device exposure, nosocomial infections occurrence, and outcome were collected. The cutoff point definition between E-VAP (<or=6 days) and L-VAP (>six days) was based on the daily hazard rate of VAP. RESULTS The VAP incidence rate was 13.1%, 356 (37.6%) E-VAP (within 6 days of admission) and 590 (62.4%) L-VAP were reported. Independent risk factor for E-VAP vs L-VAP was surgical diagnostic category (odds ratio [OR], 1.49 [95% confidence interval, 1.07-2.07]), whereas independent risk factors for L-VAP vs E-VAP were older age (OR, 1.01 [1.01-1.02]), high Simplified Acute Physiology Score II (OR, 1.01 [1.00-1.02]), infection on admission (OR=2.22 [1.61-3.03]), another nosocomial infection before VAP (OR, 5.88 [3.33-11.11]), and exposure to central venous catheter before VAP (OR, 4.76 [1.04-20.00]). CONCLUSIONS E-VAP and L-VAP have different risk factors, highlighting the need for developing specific preventive measures.


Infection Control and Hospital Epidemiology | 2008

Fatal Nosocomial Legionella pneumophila Infection Due to Exposure to Contaminated Water From a Washbasin in a Hematology Unit

Alexandre Brulet; Marie-Christine Nicolle; Marine Giard; Franck-Emmanuel Nicolini; Mauricette Michallet; Sophie Jarraud; Jerome Etienne; Philippe Vanhems

A fatal nosocomial infection with Legionella pneumophila serogroup 5 occurred in a patient with leukemia. Isolates recovered from both the potable water supply and the patient showed an identical genomic profile. With no other exposure identified, the water from the washbasin was evidently the source of infection.


Infection Control and Hospital Epidemiology | 2008

Incidence of methicillin-resistant Staphylococcus aureus nosocomial infections in intensive care units in Lyon University hospitals, France, 2003-2006.

M. Moalla; Dominique Baratin; Marine Giard; Philippe Vanhems

We describe the trends in the incidence of methicillin-resistant Staphylococcus aureus nosocomial infection in intensive care units in Lyon hospitals from January 1, 2003, through December 31, 2006. The incidence rate decreased from 1.77 cases per 100 ICU patients in 2003 to 1.16 cases per 100 ICU patients in 2006, a reduction of 38.0% (P = .05).


International Journal of Gynecology & Obstetrics | 2012

Prevalence and risk factors for HIV, hepatitis B virus, and syphilis among pregnant women in Mayotte, Indian Ocean, 2008-2009.

Maoulide Saindou; Thomas Bénet; Didier Troalen; Abdoulkarim Abaine; Nicolas Voirin; Marine Giard; Philippe Vanhems

To assess the prevalence and risk factors for HIV, hepatitis B virus (HBV), and syphilis among pregnant women living on the Indian Ocean island of Mayotte.


American Journal of Infection Control | 2014

Detection of hospital outbreaks of influenza-like illness based on excess of incidence rates compared to the community

Philippe Vanhems; Nicolas Voirin; Thomas Bénet; Sylvain Roche; Vanessa Escuret; Corinne Régis; Marine Giard; Bruno Lina; Brigitte Comte; Brigitte Coppéré; René Ecochard

The risk of nosocomial influenza-like illness (noso-ILI) compared with that of community-acquired ILI was calculated during 3 influenza seasons (2004-2007) at a 1100-bed university hospital with a total of 21,519 hospitalized patients. Outbreaks of noso-ILI occurred in each season, although a protective effect against noso-ILI was also identified for other wards.


Human Vaccines & Immunotherapeutics | 2014

Use of surveillance data to identify target populations for Staphylococcus aureus vaccines and prevent surgical site infections: a pilot study.

Marie-Paule Gustin; Marine Giard; Thomas Bénet; Philippe Vanhems

The development of anti-staphylococcal vaccines is nowadays a priority to prevent surgical site infections (SSI). The objective of the present study was to identify a potential target population by assessing surveillance data on surgery patients for possible anti-staphylococcal vaccine administration. Individuals at high risk of SSI by Staphylococcus aureus (SA) were targeted by the French SSI Surveillance Network in south-eastern France between 2008 and 2011. Among 238,470 patients, those undergoing primary total hip replacement appeared to be an interesting and healthy enough population for anti-staphylococcal vaccine testing. These male patients, subjected to multiple procedures and with American Society of Anesthesiologists score >2, had a probability of SA SSI about 21 times higher than females with no severe systemic disease and no multiple procedures. Our study indicates that surveillance data on SSI might be an interesting epidemiological source for planning vaccine trials to prevent nosocomial infections.


BMC Medical Research Methodology | 2011

A multiplicative hazard regression model to assess the risk of disease transmission at hospital during community epidemics.

Nicolas Voirin; Sylvain Roche; Philippe Vanhems; Marine Giard; Sandra David-Tchouda; Béatrice Barret; René Ecochard

BackgroundDuring community epidemics, infections may be imported within hospital and transmitted to hospitalized patients. Hospital outbreaks of communicable diseases have been increasingly reported during the last decades and have had significant consequences in terms of patient morbidity, mortality, and associated costs. Quantitative studies are thus needed to estimate the risks of communicable diseases among hospital patients, taking into account the epidemiological process outside, hospital and host-related risk factors of infection and the role of other patients and healthcare workers as sources of infection.MethodsWe propose a multiplicative hazard regression model to analyze the risk of acquiring a communicable disease by patients at hospital. This model derives from epidemiological data on communicable disease epidemics in the community, hospital ward, patient susceptibility to infection, and exposure of patients to infection at hospital. The model estimates the relative effect of each of these factors on a patients risk of communicable disease.ResultsUsing individual data on patients and health care workers in a teaching hospital during the 2004-2005 influenza season in Lyon (France), we show the ability of the model to assess the risk of influenza-like illness among hospitalized patients. The significant effects on the risk of influenza-like illness were those of old age, exposure to infectious patients or health care workers, and a stay in a medical care unit.ConclusionsThe proposed multiplicative hazard regression model could be an interesting epidemiological tool to quantify the risk of communicable disease at hospital during community epidemics and the uncertainty inherent in such quantification. Furthermore, key epidemiological, environmental, host, or exposure factors that influence this risk can be identified.


Vaccine | 2017

Use of surveillance data to calculate the sample size and the statistical power of randomized clinical trials testing Staphylococcus aureus vaccine efficacy in orthopedic surgery

Marie-Paule Gustin; Robin Ohannessian; Marine Giard; Emmanuelle Caillat-Vallet; Anne Savey; Philippe Vanhems

BACKGROUND Patients undergoing primary total hip arthroplasty (THA) would be a worthy population for anti-staphylococcal vaccines. The objective is to assess sample size for significant vaccine efficacy (VE) in a randomized clinical trial (RCT). METHODS Data from a surveillance network of surgical site infection in France between 2008 and 2011 were used. The outcome was S. aureus SSI (SASSI) within 30 days after surgery. Statistical power was estimated by simulations repeated for theoretical VE ranging from 20% to 100% and for sample sizes from 250 to 8000 individuals per arm. RESULTS 18,688 patients undergoing THA were included; 66 (0.35%) SASSI occurred. For a 1% SASSI rate, the sample size would be at least 1316 patients per arm to detect significant VE of 80% with 80% power. CONCLUSION Simulations with real-life data from surveillance of hospital acquired infections allow estimation of power for RCT and sample size to reach the required power.


Journal of Acquired Immune Deficiency Syndromes | 2003

The recent increase of syphilis cases in Lyon University hospitals Is mainly observed in HIV-infected patients: descriptive data from a laboratory-based surveillance system.

Marine Giard; Philippe Chevallier Queyron; Jacques Ritter; D. Peyramond; Christian Trepo; Patrick Miailhes; Christian Chidiac; Jean-Louis Touraine; Jean-Michel Livrozet; André Boibieux; Jacques Fabry; Robert Allard; Philippe Vanhems

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René Ecochard

Centre national de la recherche scientifique

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