ECCMID 2014 Year in Infection Control

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    Year in Infection Control

    May 2013-April 2014

    Part IBarry Cookson

    University College, London,

    United Kingdom

    Declarations: Gojo, Ecolab, Qiagen

    Part II

    Christina Vandenbroucke-Grauls

    VU University medical center, Amsterdam,The Netherlands

    Declarations: Biomerieux

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    Part 1: Barry Cooksons Topics

    Improving evidence base in infection control

    Modelling

    Surveillance including Surgical, LTCF, Costings

    Typing/Tracking Organisms

    MRSA

    Interventions

    Screening/Suppression of MRSA Hand hygiene

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    Part 2: Christina Vandenbroucke-Grauls

    Topics

    Antimicrobial resistance & antibiotic use

    ESBL and carbapenemases

    Clostridium difficile

    The hospital environment

    Gender

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    The Flos

    Florence Nightingale (1820-1910)

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    Pubmed & reading 12 Journals

    Blogs

    Twitter

    Sources for Presentations

    www.micro-blog.info

    Otter & Yezli

    http://i-prevent.blogspot.nl A.Voss

    www.haicontroversies.blogspot.nlPerencevich, Diekema, Edmond

    http://www.micro-blog.info/http://i-prevent.blogspot.nl/http://www.haicontroversies.blogspot.nl/http://www.haicontroversies.blogspot.nl/http://i-prevent.blogspot.nl/http://i-prevent.blogspot.nl/http://i-prevent.blogspot.nl/http://www.micro-blog.info/http://www.micro-blog.info/http://www.micro-blog.info/
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    Acknowledge Colleagues help

    Sheldon Stone

    Olga Paniara

    Modelling and Big Data

    Ben Cooper, Sarah Deeny & Julie Robotham

    ICPIC (Eli Perencevich & Andreas Widmer) ICAAC (Andreas Voss)

    2013 ECCMID (Benedetta Allegranzi & Robert Skov)

    presentations: complement, augment

    Importance of ESCMID CPD library: many are

    resource slides as little time to discuss in-depth

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    The Flos Special Award of the Year is

    Cardiff University Library, Cochrane Archive, University Hospital Llandough.

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    1) Improving the quality of the infection control evidence

    base: research inform guidelines/guidance

    for policies for safer patient care

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    Tools for improving the evidence base

    of scientific literature

    CONSORT for randomized controlled trials (1996)

    STROBE for observational studies (2007)

    ORION for intermittent time series & outbreaks (2007)

    Preferred Reporting Items for Systematic Reviews &

    Meta- Analyses (PRISMA) for systematic reviews &

    meta analyses (2009)

    EQUATOR Network (2006)

    http://www.equator-network.org/resource-centre/library-

    of health-research-reporting/

    STROME-ID (2014)

    http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/http://www.equator-network.org/resource-centre/library-of%20health-research-reporting/
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    PLoS Med 10(8): e1001504.

    doi:10.1371/journal.pmed.1001504

    PLOS Med a champion and published previously

    STROBE

    Evidence that CONSORT & PRISM improved the literature

    Published: August 27, 2013Studies also show that the quality of reporting overall

    remains suboptimal as not all journals endorse

    or enforce the use of reporting guidelines

    Comment: this is certainly true for infection control

    and related journals

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    Reviewed outbreaks reported in So Paulo State, Brazil, &

    verify compliance with mandatory outbreak notification

    Explored potential for ORION to inform where need to to

    improve competencies

    Only 15/87 (17%) published outbreaks reported to authorities

    Poor/Varied compliance with ORION categories

    Background 32% , Objectives 75% , Participants 2%,

    Setting 46% , Infection-Related Outcomes13%,

    Interventions 52% & Culture-Typing 55%Issue:Missed opportunity to stratify by Journals requirements

    for ORION (expected for authors and evaluation by referees)

    Pires et al, AJIC 42 (2014) e47-e5

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    PLoS Med 11(2): e1001603

    doi:10.1371/

    journal.pmed.1001603

    Differences in:

    1) Publication format

    2) Work processes

    3) Author team

    Management

    4) Statistical methods.

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    Current

    Emerging

    Health Knowledge Ecosystems

    Modelling!

    PLoS Med 11(2): e1001603

    doi:10.1371/

    journal.pmed.1001603

    o e ng

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    o e ngA previous ECCMID Debate (2012)

    Audience split on utility!

    Everything should bemade as simple as possible,

    but not simplerAlbert Einstein

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    We argue that usability & stability of a model is an outcome

    of the negotiation that occurs within the networks &

    discourses surrounding it.

    PLoS ONE 8(10): e76277.

    doi:10.1371/journal.pone.0076277

    PLoS Med 10(10): e1001540.

    doi:10.1371/journal.pmed.1001540

    We have found evidence to suggest that identification of

    uncertainties, combined with their deproblematisation

    can act to stabilise the role of scientific modelling in

    decision-making

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    Clin Microbiol Infect 2013; 19: 993998

    Mathematical models play an important role in helpinghealthcare systems to respond to ongoing epidemics or

    plan the logistics of various theoretical scenarios

    Prediction & model-based management of

    epidemics in their early phase are quite unlikely tobecome the norm. far too complex to be predictable

    BC: so do we guess: sometimes nothing else is available?

    Flu: pnas.org/content/early/2011/10/24/1103002108.short

    Internetbiosurveillance systems can detect an outbreak

    of an infection more rapidly than ever before.

    BC : this may be a bit premature?

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    The Flos Honorary Award of the Year goes to Prof Tim Berners-Lee

    Inventor of the World Wide Web

    25thAnniversary

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    3) Surveillance

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    Lancet Infect Dis 2014;14: 16068

    Dengue & Influenza reviewed

    Complement not replace existing systems

    Many issues described e.g. Lack of access to internet

    Populations vary in internet use and Health-seeking

    behaviour (BC: sample migration e.g. Facebook?)

    USA poor sensitivity and spatial resolutionnecessary to detect small, localised flu outbreaks

    Also see Big Data FT article

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    Big data: are we making a big mistake?

    FT Magazine: March 28, 2014: Tim Harford

    Googles estimates of the spread of flu-like illnesses

    were overstated by almost a factor of two. Google cared

    about correlation rather than causation

    The End of Theory: with enough data, the numbersspeak for themselves .. hopelessly naive where

    spurious patterns vastly outnumber genuine discoveries.

    When it comes to data, size isnt everything.

    Non random.. sampling error USA twittersare disproportionately young, urban/suburban & black

    (Sample migration; Super tweeters?)

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    Cape Town Sunday Times

    Lancet Infect Dis 2014;14: 16068

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    Journal of Hospital Infection

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    (2014) 34e41

    Referral to:

    Observed rate

    Supra Regiona

    specialistHospitals

    Created

    Same

    Collective

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    Murchan et al,EMRSA-16 spread in

    England and Wales.

    J Clin Microbiol

    2004; 57: 345-346.

    HAI results, ECDC PPS 2011-2012

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    HAI results, ECDC PPS 2011 2012

    HAI prevalence:

    Overall: 13829/231459patients with 1 HAI

    HAI prevalence: 6.0%

    Country range: 2.3%-10.8%

    15000 HAIs; 1.1 HAI/patient

    HAI present at admission: 23%

    Same hospital: 55%

    33% surgical site infection

    HAI during current hospitalisation: 76% of HAIs, prevalence: 4.5%

    Median time to onset of HAI: 12 days

    Microorganism reported: 45.9%

    Prevalence antimicrobial use for treatment of hospitalinfection: 6.4%

    95% of patients with HAI received >=1 antimicrobial onday of survey

    Source: ECDC PPS, 2011-2012

    (1) incl. C. difficileinfections 3.6%

    (2) incl. clinical sepsis 5.3%

    23%

    19%

    20%

    11%

    8%

    6%4%

    10%

    Pneumonia/LRTI

    Urinary tract

    Surgical site infection

    Bloodstream

    Gastrointestinal (1)

    Systemic (2)

    Skin/Soft tissue

    Other/unspecified

    Type of HAI

    30 countries (29 EU/EEA countries+ Croatia), 33 PPSs (networks)

    2014:12;7|

    Observed vs predicted HAI prevalence by country

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    Observed vs predicted HAI prevalence by country,

    ECDC PPS 2011-2012

    0 2 4 6 8 10 12 14 16 18 20

    LatviaRomania

    LithuaniaSlovakiaBulgaria

    UK-WalesUK-N. Ireland

    MaltaHungary

    Czech RepublicUK-Scotland

    FranceGermany

    IrelandLuxembourg

    EstoniaCroatia

    UK-EnglandAustria

    ItalySlovenia

    PolandCyprus

    BelgiumSweden

    NetherlandsFinlandNorway

    Spain

    GreeceDenmark*

    IcelandPortugal

    Patients with HAI (%)

    Observed HAI prevalence (%)(with 95% confidence interval)

    Predicted HAI prevalence (%)(based on case-mix)

    http://www.ecdc.europa.eu/en/publications/Publication

    althcare-associated-infections-antimicrobial-use-PPS.

    Structure & process indicators:

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    ppercentage of single room beds

    Single room beds in participating hospitals (%): median = 11.1%

    Source: ECDC, 2012 (ECDC PPS data as of 23/11/2012)

    0 20 40 60 80 100

    N of single room beds*100 /Total beds

    UK-WalesUK-Scotland

    UK-Northern IrelandUK-England

    SwedenSpain

    SloveniaSlovakiaRomaniaPortugal

    PolandNorway

    NetherlandsMalta

    LuxembourgLithuania

    LatviaItaly

    IrelandIceland

    HungaryGreece

    GermanyFranceFinlandEstonia

    DenmarkCzech Republic

    CyprusCroatia

    BulgariaBelgiumAustria

    *Poor data representativeness

    Alcohol hand rub consumption in acute care

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    p

    hospitals, ECDC PPS 2011-2012

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    HAI PPS 4600 trained

    Susan Hopkins lead, HP Agency & HP Scotland

    HALT 2 PPS 1700 LTCFs staff trained.Fidelma Fitzpatrick & Tracey Dillane,

    HSE & HP Surveillance Centre

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    2013:

    http://www.ecdc.europa.eu/en/

    publications/Publications/infect

    ion-control-core-

    competencies.pdf2014-15: TRICE-Implementation Strategy includes

    IC Course assessments IC/HH WIKI : ESCMID SGs to be involved

    Revisiting TRICE IC Resources

    Awaiting clearance fo

    ECDC-Funded SIGHT Project

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    ECDC-Funded SIGHT Project

    Should be in Lancet ID (Zing et al)

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    Increasing Healthcare Delivery in the Community Increasingly aged populations

    Decreasing lengths of hospital stay: HAIs

    presenting in the community

    Increasing numbers of step-down from hospital andhybrid (Step-Down/Residential) facilities

    Issues

    with definitions of names of facilities

    Lack of surveillance, infection control standards,

    guidelines and audit .

    LOW PRIORITY IN MANY COUNTRIES

    See: Moro et al, ICHE 2010; 31 (suppl. 1); 559-62 (IPSE WP7)

    Cookson et al, J Hosp Infect 2013; 85: 45-53 (HALT 1)

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    Carl Suetens

    ECDC

    Championed HALT

    Antoon Gijsens

    DG SANCO

    Bea Jans

    HALT Lead

    LTCF a late addition

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    Cookson et al, J Hosp Infect 2013; 85: 45-53.

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    HALT-1 & 2 Reports

    Katrien Latour, Abstract No ECCMI-4351

    http://www.ecdc.europa.eu/en/Pages/home.aspx

    5thMay 2014

    http://www.ecdc.europa.eu/en/Pages/home.aspxhttp://www.ecdc.europa.eu/en/Pages/home.aspx
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    Additional & increasing burden of AMR organisms

    Main increases are in AMR organisms MSSA continuing increases

    MRSA increases 7.6%/Y then decreases 4.8%/Y 200

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    Surgical Site Infections

    (SSIs)

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    Korol et al, PLoS ONE 8(12): e83743. doi:10.1371/journal.pone.0083743

    1) Challenging:

    very rich literature

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    very rich literature

    many study designs,

    settings,

    categorizations &

    definitions

    2) Despite this

    they consistently

    found associated

    SSI risk factors

    3) Risk Factors

    relate to:

    reduced fitness,

    patient frailty,

    surgery duration,

    & complexityBC: Body warming,

    glucose control,

    triclosan stitches?

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    Risk score gauged independent influence of each risk factor

    New logistic regression approach of quantifying the influence of

    different operative types on SSIs

    Model used 181 894 operations for derivation, 181 146 for validation

    SSIRS captured 89.7% of the validation population

    Web based system available significantly better discrimination than NNIS

    Basic Risk SSI Index

    Also a simpler SSIRS index permits 30-day SSI risk bedside estimation

    without computational aids

    BC: Needs external validation. ECDC interested?

    van Walraven C, Musselman R. PLoS ONE 2013;8:e67167

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    Owens et al, JAMA. 2014;311:709-716

    Retrospective analysis: 284, 098 ambulatory surgical procedure

    Databases of 1/3 US population in 8 dispersed USA states

    Needed postsurgical acute care visits

    General, orthopaedic, neuro, gynae, & urologic surgeryLength of stay less than 2 days

    SSIs at 14days 3.09 /1000 ambulatory surgical procedures

    30days 4.84 /1000 ambulatory surgical procedures

    63.7% within 14 days of the surgery: limited risk factor analys 93.2% needed inpatient treatment

    Low relative to all causes but significant adverse events

    The Post Discharge SurveillanceAn Elephant in the Room!

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    An Elephant in the Room!

    http://en.wikipedia.org/wiki/Elephant

    Difficult to compare studies as

    differences in e.g.

    Lengths of stay

    Operative categories

    Definitions of infections

    Methods of data collection:

    Re-admissions only! Telephone or Patient or

    Healthcare worker reporti

    If staff/patients are trained

    Lack detail so work canbe repeated

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    American Journal of Infection Control 41 (2013) 591-6

    Journal of Hospital Infection 86 (2014) 127e132

    American Journal of Infection Control 41 (2013) 549-53

    Ann Intern Med. 2013;159:447-455.

    Post Discharge Surveillance (PDS)

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    J Hospital Infect 2013; 84: 267

    (& refs to two previous letters)

    Disputes including English HPA (PHE) SSI system do not

    bench mark PDS data

    Brisbane group supported English HPA responding:

    Until a valid & cost-effective solutionPDS is found donot bench mark.

    Hospitals are required to undertake PDS, so the data can

    be used for internal (i.e. local) quality improvement

    Should not be required to submit PDS data for publicscrutiny or be penalized for not doing so.

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    Raschka et al, AJIC 2013;41: 773-7

    19% less selected HAIs over 4 years

    Cost avoidance of at least $9 million

    80% in last two years!

    (so enormous potential: useful to quote internationally)

    Interesting methodology Vancouver regional

    Canadian Inf. control

    programme

    Standardized policies,

    procedures, and initiatives(including hand hygiene

    campaign)

    Th Fl E t di A i f th Y

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    The Flos Extraordinary Anniversary of the Year

    60 years since description

    of DNAs structure

    Watson, Crick,

    (Franklin and Wilkins)

    http://www.chemheritage.org/discover/online-resources/chemistry-in-history/themes/biomolecules/dna/watson-crick-wilkins-franklin.aspx

    4) Typing & Tracking HAI Organisms

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    Lancet Infect Dis 2014; 14: 34152

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    Medline database

    searches with terms

    Infection

    &

    Molecular Epidemiology

    No papers/100K/year

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    20 items added to 22 item STROBE checklist

    Should advance the quality & transparency of

    scientific reporting, with clear benefits for

    evidence reviews & health-policy decision making

    Lancet Infect Dis 2014; 14: 34152

    Lancet Infect Dis 2014; 14: 34152

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    Optimisation of NGS information for Infection Control TeamsSee also :Humphries & Coleman Letter: http://dx.doi.org/10.1016/j.jhin.2013.05.002

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    Educate users (STROME-ID) e.g. strengths and limitations

    Clear objectives to ensure optimises patient care/safety

    Interpretation needs detailed epidemiological data

    Golden fleece TIMELY automatic appropriate simplified

    discriminant data : (TATs not stated in many papers!)

    Dialogue with reference laboratories and others with expertise

    this area to optimize its potential.

    Consider accreditation requirements for Reference labs

    National information considered National funding ref Public Health aspects

    See also :Humphries & Coleman Letter: http://dx.doi.org/10.1016/j.jhin.2013.05.002

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    Ehrlich & Post JAMA Internal Medicine 2013;173: 1406-06

    Struelens and Brisse. Euro Surveill. 2013;18(4):pii=20386.

    Editorialand several very useful papers in issuealso look at: Price et al, CID 2014;58:60918

    Invited paper: interesting analysis of potential

    MRSA

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    MRSA

    Melo Christino et al Lancet 2013;382:205 (20 July 2013)

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    Melo-Christino et al, Lancet 2013;382:205 (20 July 2013)

    vanA +MRSA strain in Europe from Portuguese patient USA MRSA type (ST105, SCCmectype II: common

    HAI strain in Portugal)

    No epidemiological links to USA

    vanA source may a wound VRE

    Treatment progressing and no spread thus far

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    Emerged in Brazil following multiple vancomycin courses

    No spread so far: died with GNR BSI

    Related to community USA 300 strain: has bsa CA MRSA

    operon PVL negative

    Perhaps element originated from a GRE in another patient

    in the same room: patient also positive (late)

    Transferable to other S aureus (WOW!!!!!) Worrying : USA 300 clades common globally

    Rossi et al, N Engl J Med 2014;370:1524-31

    Strommenger et al J Antimicrob Chemoth

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    174 SA and MRSA of CC8 (including CA USA300) from 5 Continents

    1957-2008 Phylogeny explored at 112 genetic housekeeping loci, AMR and

    diverse mobile genetic elements

    9 clades: 8 independent SCCmec acquisitions : started in mid-1970s.

    88% carried plasmidic rep gene sequences (5 rep genes and eight repfamilies)

    Increasing and stable AMR (9 classes) during the evolution of several

    lineages, including USA300. (Comment: check pedigree of different

    strains.)

    Diverse virulence determinants

    Perhaps WILL become a multiple resistant MRSA?

    (USA300 now a hospital MRSA)

    Strommenger et al, J Antimicrob Chemoth

    2014; 69: 616622

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    4 new MRSA mecA/C negative from 3 ST types from

    Scottish patients

    Perhaps due to identified amino acid substitutions in

    their endogenous PBPs 1, 2 & 3?

    Not BORSA strains, as resistant to both oxacillin &

    cefoxitin

    Need for vigilance ref molecular MRSA assays &

    possible new drug target resistance MUST NOT ABANDON PHENOTYPIC TESTING

    Xiaoliang et al, J Antimicrob Chemother 2014; 69: 594597

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    A 55-pound or greater Hog producesat least 10 gallons of manure a day (!)

    Manure spread on surrounding Iowan

    fields

    MRSA can be aerosolized from thismanure to human food or water

    sources.

    Carrel et al, Infect Control Hosp Epidemiol 2014;35(2):190-192

    BetterPho

    McKinnell et al, ICHE 2013; 34(: 161170

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    McKinnell et al, ICHE2013; 34(: 161 170

    Often ignored in studies & national screening programmes

    Systematic review 1966-2012: 23 papers: 39,497 patients

    Few studies looked at >1 such extra nasal site!

    ICU admission: detects ~1/3 more

    Hospital admission: >6% MRSA incidence: extra 37%

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    CDC EIP-ABCs sentinel laboratory-based MRSA casefinding identified MRSA cultures in 9 US metropolitan areas

    from 2005 through 2011

    Detailed risk factor analyses for HA- & CA-MRSA

    In 2011 invasive MRSA infections (80 461) 31% lower than in

    2005

    Dantes et al, JAMA Intern Med. 2013;173(21):1970-1978.

    Dantes et al, JAMA Intern Med. 2013;173(21):1970-1978

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    CA MRSA Stable: epidemiology

    incomplete e.g. home/LTCF

    Interventions

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    Culture, Organisational &Behavioural Aspects

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    Behavioural AspectsCulture

    Excellent reviews: De Bono et al,J Hosp Infect.2014; 86:

    1-6 and Borg,J Hosp Infect 2014; 86:161-68

    Essential www site of Geert Hofstede

    http://geerthofstede.com/dimensions-of-national-cultures

    Hand Hygiene Studies Utilizing Shared Accountability and Financial Incentives

    Talbot et al, ICHE2013; 34: 1129-1136

    Positive deviance study: Marra et al,AJIC2013;41:984-8

    Real-time assessment practice using a TheoreticalBehavioural Domains Framework. Fuller et al,AJIC

    2014;42:106-10

    Hot Topics!

    U i l MRSA S i

    http://geerthofstede.com/dimensions-of-national-cultureshttp://geerthofstede.com/dimensions-of-national-cultureshttp://geerthofstede.com/dimensions-of-national-cultureshttp://geerthofstede.com/dimensions-of-national-cultureshttp://geerthofstede.com/dimensions-of-national-cultureshttp://geerthofstede.com/dimensions-of-national-cultureshttp://geerthofstede.com/dimensions-of-national-cultureshttp://geerthofstede.com/dimensions-of-national-cultureshttp://geerthofstede.com/dimensions-of-national-cultureshttp://geerthofstede.com/dimensions-of-national-cultureshttp://geerthofstede.com/dimensions-of-national-cultures
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    Universal MRSA Screening

    Universal MRSA Decolonisation/Suppression

    Hammers to crack walnuts?

    See posts on:

    http://haicontroversies.blogspot.com

    &

    NEJM Letters

    English Universal MRSA Screening

    http://haicontroversies.blogspot.com/http://haicontroversies.blogspot.com/
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    1) NOW Audit: Fuller et, al PLoS ONE 8(9): e74219

    Implementation of universal screening was poor

    Admission Screening performed on:

    Emergency admissions 61% (median 67.3%)

    Electives 81% (median 59.4%)

    Very low MRSA admission prevalence:

    Emergencies 1%: Electives 0.6%

    Inpatient MRSA prevalence 3.3% (6% for original model)

    2) Modelling

    Consultation underway suggesting stopping universalscreening

    Universal Decolonisation/SuppressionA Horizontal Strategy

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    gy

    Lee et al, 2013 doi 10.11.36/bmjopen-2013-003126

    Derde et al,Lancet Infect Dis

    2014; 14: 3139

    Huang et al, N Engl J Med 2013. DOI: 10.1056/NEJMoa1207290

    First RCT

    Universal Antiseptic Use Risks

    (Horizontal Strategies)

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    ( Horizontal Strategies )

    At what rates of resistant organisms is it cost effective?

    Mupirocin needed: how effective is it in reducing infections?

    Increasing side effects?

    How and how often used, rotate them?

    What is best antiseptic to use e.g. octenidine? Inactive chlorhexidine/soap formulations?

    Increasing disinfectant/antiseptic resistance

    Increased quantities used

    Sumps of bacteria e.g. leaking abscesses, suppurating

    tracheostomies

    Universal Antiseptic Use Risks

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    (Horizontal Strategies)

    Surveillance issues

    Locally: short lengths of stay, not detect damaged

    organisms

    Nationally: no surveillance

    Resistance cut-off agreements review?

    Maillard et al,Microb. Drug Res., 2013

    doi:10.1089/mdr.2013.0039

    Morissey et al, PLoS One. 2014; 9: e86669.

    doi:10.1371/journal.pone.0086669

    Universal versus Targeted MRSA Screening?

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    g gDeeny et al, JHI 2013

    More efficient use of resources

    Less potential for resistance to antiseptics

    J Hosp Infect 2013; 85: 33-44

    Hand hygiene

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    Schweizer, et.al, Clinical Infectious Diseases 2014;58:24859

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    Only 39 quasi-experimental & 4 cluster & 2 RCTs /8,148 studies

    over 12 years

    Insufficient studies to assess single interventions!How can we design bundles?

    No of bundle components was not associated with greater effect:

    Include one or two interventions tripled compliance

    Include >two produced doubling of compliance

    Two bundles effective and Three studies of each:

    Education, Reminders, Feedback: OR (pooled) : 1.45 (1.12, 1.94)

    If add Administrative Support, & alcoholic handrubs :

    OR (pooled): 1.82 (1.69-1.97)

    Rock et al, American Journal of Infection Control 41 (2013) 994-6

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    Conclusion: HH before donning nonsterile gloves does not decrease

    already low bacterial counts on gloves. HH before donning nonsterile

    gloves may be unnecessary?

    Comment: Saves time: will HCWs confuse with sterile glove usage

    especially when stressed?

    Use of scents in training1/3 increase in complianceComment: Effectiveness for: different staff? Sustained?

    In real workplace? Pavlovian approach ethical? Own life.

    Birnbach et al J Hosp Infect 2013;85: 79-81.