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An Algorithm To Estimate The Importance Of Bacterial Acquisition Routes In Hospital Settings.

M. Bootsma, M. Bonten, S. Nijssen, A. Fluit, O. Diekmann
Published 2007 · Medicine

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An algorithm is presented to calculate likelihoods of acquisition routes using only individual patient data concerning period of stay and microbiologic surveillance (without genotyping). The algorithm also produces estimates for the prevalence and the number of acquisitions by each route. The algorithm is applied to colonization data of third-generation cephalosporin-resistant Enterobacteriaceae (CRE) from September 2001 to May 2002 in two intensive care units (ICUs) (n = 277 and n = 180, respectively) of Utrecht, Kingdom of the Netherlands. Genotyping and epidemiologic linkage are used as the reference standard. Surveillance cultures were obtained on admission and twice weekly thereafter. All CREs were genotyped. According to the reference standard, the daily prevalence of CRE in ICU-1 and ICU-2 was 26.1% (standard deviation: 15.4) and 15.1% (standard deviation: 13.4), respectively, with five of 23 (21.7%) and six of 21 (28.6%) cases of acquired colonization being of exogenous origin, respectively. On the basis of the algorithm, the endogenous route was responsible for more acquisitions than the exogenous route (p = 0.003 and p < 0.001 for ICU-1 and ICU-2, respectively). The estimated number of acquisitions is 30 and 27, and the estimated prevalence is 27.6% and 17.6% for ICU-1 and ICU-2, respectively. By use of longitudinal colonization data only, the algorithm determines the relative importance of acquisition routes taking patient dependency into account.
This paper references
10.1111/1467-985X.00125
Bayesian inference for partially observed stochastic epidemics
P. O'Neill (1999)
10.1093/BIOSTATISTICS/KXL017
Bayesian inference of hospital-acquired infectious diseases and control measures given imperfect surveillance data.
M. Forrester (2007)
10.1086/315752
Host specificity of vancomycin-resistant Enterococcus faecium.
R. Willems (2000)
10.1016/J.JHIN.2006.10.005
A statistical method for estimating the proportion of cases resulting from cross-transmission of multi-resistant pathogens in an intensive care unit.
R. Mikolajczyk (2007)
10.3201/eid1205.050910
Enterobacter cloacae Outbreak and Emergence of Quinolone Resistance Gene in Dutch Hospital
A. Paauw (2006)
Mathematical studies of the dynamics of antibiotic resistance
M. Bootsma (2005)
10.1086/340739
To gown or not to gown: the effect on acquisition of vancomycin-resistant enterococci.
L. Puzniak (2002)
10.1097/01.CCM.0000163223.26234.56
How many infections are caused by patient-to-patient transmission in intensive care units?*
H. Grundmann (2005)
10.2307/2988475
Statistical Models Based on Counting Processes.
F. Coolen (1993)
10.1086/506438
Potential confounding in evaluating infection-control interventions in hospital settings: changing antibiotic prescription.
S. Nijssen (2006)
10.7326/0003-4819-125-6-199609150-00004
A Comparison of the Effect of Universal Use of Gloves and Gowns with That of Glove Use Alone on Acquisition of Vancomycin-Resistant Enterococci in a Medical Intensive Care Unit
S. Slaughter (1996)
10.1086/647274
The role of colonization in the pathogenesis of nosocomial infections.
M. Bonten (1996)
10.1128/JCM.36.10.3085-3087.1998
Molecular Epidemiology of an Outbreak of Enterobacter cloacae in the Neonatal Intensive Care Unit of a Provincial Hospital in Gauteng, South Africa
W. V. van Nierop (1998)
10.1086/323761
Understanding the spread of antibiotic resistant pathogens in hospitals: mathematical models as tools for control.
M. Bonten (2001)
10.1073/pnas.082412899
How to assess the relative importance of different colonization routes of pathogens within hospital settings
I. Pelupessy (2002)
10.1097/00003246-200106000-00001
Impact of a rotating empiric antibiotic schedule on infectious mortality in an intensive care unit
D. Raymond (2001)
10.1086/503166
A Pilot Study of Antibiotic Cycling in a Hematology-Oncology Unit
E. Dominguez (2000)
10.1001/ARCHINTE.158.10.1127
The role of "colonization pressure" in the spread of vancomycin-resistant enterococci: an important infection control variable.
M. Bonten (1998)
10.1023/A:1011973120681
Likelihood estimation for stochastic compartmental models using Markov chain methods
G. J. Gibson (2001)
10.1086/322014
Enterobacter species in a pediatric hospital: horizontal transfer or selection in individual patients?
P. de Man (2001)
Extended - Spectrum Beta - Lactamase among Enterobacter isolates obtained in Tel Aviv , Israel
A. C. Fluit Paauw (2005)
10.1086/502588
Use of Stochastic Epidemic Modeling to Quantify Transmission Rates of Colonization With Methicillin-Resistant Staphylococcus Aureus in an Intensive Care Unit
M. Forrester (2005)
10.1001/ARCHINTE.166.18.1945
Risk of acquiring antibiotic-resistant bacteria from prior room occupants.
S. Huang (2006)
10.1007/978-0-387-21736-9
All of statistics
L. Wasserman (2004)
10.1080/00365540050165947
Outbreak investigation of nosocomial enterobacter cloacae bacteraemia in a neonatal intensive care unit.
W. L. Yu (2000)
10.1016/J.JTBI.2006.11.008
A stochastic mathematical model of methicillin resistant Staphylococcus aureus transmission in an intensive care unit: predicting the impact of interventions.
E. McBryde (2007)
10.1093/BIOSTATISTICS/5.2.223
The analysis of hospital infection data using hidden Markov models.
B. Cooper (2004)
10.1038/177813a0
Theoretical Statistics
M. Kendall (1956)
10.1128/AAC.49.3.1150-1156.2005
Extended-Spectrum Beta-Lactamases among Enterobacter Isolates Obtained in Tel Aviv, Israel
Jacob M. Schlesinger (2005)
10.7326/0003-4819-134-4-200102200-00014
Antibiotic Resistance in the Intensive Care Unit
M. Kollef (2001)
10.1086/501721
“Colonization Pressure” and Risk of Acquisition of Methicillin-Resistant Staphylococcus aureus in a Medical Intensive Care Unit
J. Merrer (2000)
10.1086/420936
The use and interpretation of quasi-experimental studies in infectious diseases.
A. Harris (2004)
10.7326/0003-4819-130-2-199901190-00006
Compliance with Handwashing in a Teaching Hospital
D. Pittet (1999)



This paper is referenced by
Antibiotic resistant Gram-negative bacteria in long-term care facilities : an epidemiological and dynamic modelling study
A. Gilchrist (2018)
10.17037/PUBS.02391562
Modelling studies of the transmission-dynamics and hospital burden of Clostridium difficile
E. Kleef (2015)
10.1101/306100
Multi-Hierarchical Dynamics of Antimicrobial Resistance Simulated in a Nested Membrane Computing Model
M. Campos (2018)
10.1186/1471-2288-11-53
A multiplicative hazard regression model to assess the risk of disease transmission at hospital during community epidemics
N. Voirin (2011)
10.1186/s12916-018-1121-8
Quantifying where human acquisition of antibiotic resistance occurs: a mathematical modelling study
G. Knight (2018)
10.1086/599016
Mixture Model to Assess the Extent of Cross-Transmission of Multidrug-Resistant Pathogens in Hospitals
R. Mikolajczyk (2009)
10.1007/s00134-012-2771-1
Effects of infection control measures on acquisition of five antimicrobial drug-resistant microorganisms in a tetanus intensive care unit in Vietnam
C. Schultsz (2012)
Réseaux dynamiques de terrain : caractérisation et propriétés de diffusion en milieu hospitalier. (Real Dynamic Networks : Characterisation and Diffusion Properties in Hospital Contexts)
L. Martinet (2015)
10.1016/J.ANTINF.2013.09.002
Contribution des modèles mathématiques à la compréhension de la dynamique de diffusion des bactéries multi-résistantes à l’hôpital
L. Opatowski (2013)
10.1101/413500
Close proximity interactions support transmission of ESBL-K. pneumoniae but not ESBL-E. coli in healthcare settings
A. Duval (2019)
10.1017/S0950268808001283
Nosocomial transmission clusters and risk factors in Moraxella catarrhalis
F. Levy (2008)
10.1093/cid/cix825
The Transmissibility of Antibiotic-Resistant Enterobacteriaceae in Intensive Care Units
T. Gurieva (2018)
10.1186/1471-2334-13-187
Limits of patient isolation measures to control extended-spectrum beta-lactamase–producing Enterobacteriaceae: model-based analysis of clinical data in a pediatric ward
M. Domenech de Cellès (2013)
10.1016/S1473-3099(13)70305-0
Antimicrobial resistance in intensive care units.
J. Zahar (2014)
10.5772/33570
Models of Hospital Acquired Infection
P. Coen (2012)
10.1007/s00134-020-05929-3
Antimicrobial-associated harm in critical care: a narrative review
N. Arulkumaran (2020)
10.5772/2251
Infection Control - Updates
C. Sudhakar (2012)
10.1186/1471-2334-13-294
Modelling the transmission of healthcare associated infections: a systematic review
E. van Kleef (2013)
3 Models of Hospital Acquired Infection
P. Coen (2012)
10.1371/journal.pone.0020604
Transmission Dynamics of Methicillin-Resistant Staphylococcus aureus in a Medical Intensive Care Unit in India
S. Christopher (2011)
10.1177/0962280215627299
Evaluating hospital infection control measures for antimicrobial-resistant pathogens using stochastic transmission models: Application to vancomycin-resistant enterococci in intensive care units
Y. Wei (2018)
10.1016/S1877-1203(13)70357-4
Bactéries multi-résistantes : ce que doit savoir le pneumologue
J. Zahar (2013)
10.1093/aje/kwn176
An Augmented Data Method for the Analysis of Nosocomial Infection Data
B. Cooper (2008)
10.1371/journal.pcbi.1006496
Close proximity interactions support transmission of ESBL-K. pneumoniae but not ESBL-E. coli in healthcare settings
A. Duval (2019)
10.1017/S0950268816000030
Modelling the epidemiology of Escherichia coli ST131 and the impact of interventions on the community and healthcare centres
A. Talaminos (2016)
10.1371/journal.pcbi.1002454
Quantifying Type-Specific Reproduction Numbers for Nosocomial Pathogens: Evidence for Heightened Transmission of an Asian Sequence Type 239 MRSA Clone
B. Cooper (2012)
10.1371/journal.pone.0099860
Nosocomial Transmission of C. difficile in English Hospitals from Patients with Symptomatic Infection
E. van Kleef (2014)
10.1007/978-0-387-93835-6_22
Nosocomial Transmission: Methicillin-Resistant Staphylococcus aureus (MRSA)
M. Bonten (2009)
10.1017/S0950268818002091
Application of dynamic modelling techniques to the problem of antibacterial use and resistance: a scoping review
D. Ramsay (2018)
10.1371/journal.pone.0041068
Transmission Dynamics of Carbapenemase-Producing Klebsiella Pneumoniae and Anticipated Impact of Infection Control Strategies in a Surgical Unit
V. Sypsa (2012)
Statistical inference and modelling for nosocomial infections and the incorporation of whole genome sequence data
Colin J. Worby (2013)
10.1371/journal.pone.0231754
A mathematical model and inference method for bacterial colonization in hospital units applied to active surveillance data for carbapenem-resistant enterobacteriaceae
Karen M Ong (2020)
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