Anúncio

Data call timeline and deliverables. Liselotte Diaz Högberg (ECDC)

Programme Manager, Antimicrobial Resistance and Healthcare-Associated Infections (ARHAI) em European Centre for Disease Prevention and Control (ECDC)
2 de Mar de 2015
Anúncio

Mais conteúdo relacionado

Similar a Data call timeline and deliverables. Liselotte Diaz Högberg (ECDC)(20)

Mais de European Centre for Disease Prevention and Control (ECDC)(20)

Anúncio

Data call timeline and deliverables. Liselotte Diaz Högberg (ECDC)

  1. Preparing for the EARS-Net 2015 data call Liselotte Diaz Högberg, Expert, Surveillance and Response Unit European Centre for Disease Prevention and Control
  2. 1 • Results from 2014 EARS-Net data call • Preparing for the EARS-Net 2015 data call: - timeline and outputs • The future of Acinetobacter spp surveillance • Improving comparability of S. pneumoniae data
  3. 2 0 1 2 3 4 5 6 7 8 9 10 14-20 April 21-27 April 28 April - 4 May 5 -11 May 12-18 May 19-25 May 26 May-1 June 2-8 June 9-15 June 16-22 June 23-29 June 30 June - 6 July 7-13 July Numberofreportingcountries Overview of data call 2014 Active data call Deadline Cumulative number of reporting countries 2 3 4 5 6 12 19 28 30
  4. 3 Percentage isolates per pathogen, 2013 Data from EARS-Net E. faecium 4% E. facealis 7% S. pneumoniae 7% S. aureus 22% Acinetobacter spp 2% P. aeruginosa 6% K. pneumoniae 10% E. coli 42%
  5. 4 Number of reported isolates per pathogen. By country, 2013 Data from EARS-Net 0 5000 10000 15000 20000 25000 FR SE UK DE ES IT NL AT BE DK PT CZ FI NO EL HU IE PL SK HR SI RO LT BG EE LU LV CY MT IS E. coli K. pneumoniae P. aeruginosa Acinetobacter spp S. aureus S. pneumoniae E. facealis E. faecium
  6. 5 2014 data call in summary: Reporting completeness 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Age Gender Patient type Hospital unit type Date hosp Data from EARS-Net
  7. 6 2014 data call in summary: Reporting completeness 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Age Gender Patient type Hospital unit type Date hosp Mean 66.1 years Median 71 years Female 44.9% Male 55.1% Inpatients 86.5% Outpatients 13.5%
  8. 7 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% E. coli K. pneumoniae P. aeruginosa Acinetobacter spp S. aureus S. pneumoniae Enterococcus PEDSICU PEDS URO INFECT OBGYN ONCOL SURG INTMED ED ICU 2014 data call in summary: Hospital unit type, by pathogen
  9. 8 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% E. coli K. pneumoniae P. aeruginosa Acinetobacter spp S. aureus S. pneumoniae Enterococcus No info Zone diameter E-test Mic 2014 data call in summary: Quantitative susceptibility data, by pathogen
  10. 9 Data call Data analysis, report draft Internal ECDC approval MS report approval Re-analysis Final ECDC approval Editing and layout Timeline 2015: from data call to finalised report 1st MS data approval 2nd MS report approval •Non-negotiable deadline: European Antibiotic Awareness Day on November 18 • Two separate MS approval processes: during data call and the report approval TESSy approval Deadline 1 July SeptemberAugust October
  11. Data call outputs 2015 EARS-Net annual report • online version with country summary sheets • printed version without country sheets (tbc) Summary for EAAD briefing kit EARS-Net on-line database • maps • tables • trend graphs Published 18 November!
  12. New design for tables and trend analysis results
  13. Background data for all tables and graphs can be downloaded from the ECDC website
  14. Acinetobacter spp pilot surveillance in EARS-Net – experience and way forward
  15. Background • Concern for increasing AMR problem in Acinetobacter raised at the Joint ARHAI Annual Meeting in Warsaw, 2010 • Survey sent out late 2010 to assess feasibility for surveillance • Agreed to include as 2-year pilot at 2nd network meeting in 2011 • Data collection completed 2013 and 2014 - time for evaluation Acinetobacter spp surveillance in EARS-Net
  16. EARS-Net 2010 Acinetobacter Survey summary • High participation in the survey: response received from 29/30 countries • Acinetobacter was already included in national AMR surveillance in more than half of the countries, but blood stream isolates constitute a small proportion (<5%) of all isolates in most cases • A relatively high number of antimicrobials were included in AST panels in more than half of the countries having AST results for Acinetobacter • Multidrug resistance in Acinetobacter was assessed in >50% of blood stream isolates in 1/4 of the countries • The importance of Acinetobacter was perceived as “significant “ by 1/3 of the countries, while 1/3 considered Acinetobacter as being of “minor” importance • 80% of the countries would like Acinetobacter included in EARS-Net Acinetobacter spp surveillance in EARS-Net
  17. EARS-Net Coordination Group advice regarding feasibility of Acinetobacter surveillance (February 2012) • Number of isolates will be very low for some countries (blood isolates only) • Challenges of species identification and susceptibility testing to be carefully considered – only include at spp level • Limit the antimicrobial groups under surveillance • Acinetobacter data collected in the HAI-PSS should be reviewed to validate EARS-Net results Acinetobacter spp surveillance in EARS-Net
  18. Acinetobacter spp: Number of reporting countries (green), 2012 and 2013 2012 2013 Acinetobacter spp surveillance in EARS-Net 18 countries 27 countries
  19. 18 Frequency of Acinetobacter spp. as percentage of all bacteria reported to EARS-Net, by country (n:4120), 2013 No data <1% 1-<2 % 2-<4 % 4-<6 % 6-<8 % >8 % Acinetobacter spp surveillance in EARS-Net
  20. 19 Relative frequency of Acinetobacter spp. as a percentage of all microorganisms reported for HAIs, by country (n=366 isolates), ECDC PPS 2011–2012 * PPS data representativeness was poor in Austria, Croatia, Czech Republic, Estonia, Norway and Romania and very poor in Denmark and Sweden. See table 18 for total number of microorganisms by country.
  21. 20 Relative frequency of Acinetobacter spp. as a percentage of all microorganisms reported for HAIs, by country (n=366 isolates), ECDC PPS 2011–2012 * PPS data representativeness was poor in Austria, Croatia, Czech Republic, Estonia, Norway and Romania and very poor in Denmark and Sweden. See table 18 for total number of microorganisms by country. EARS-Net
  22. 21 Acinetobacter spp. Percentage (%) of invasive isolates with resistance to carbapenems, by country, EU/EEA, 2013
  23. 22 Percentage of Acinetobacter baumannii isolates non- susceptible to carbapenems in HAIs in acute care hospitals, ECDC PPS 2011-2012 ECDC PPS * PPS data representativeness was poor in Austria, Croatia, Czech Republic, Estonia, Norway and Romania and very poor in Denmark and Sweden. See table 18 for total number of microorganisms by country.
  24. 23 Percentage of Acinetobacter baumannii isolates non- susceptible to carbapenems in HAIs in acute care hospitals, ECDC PPS 2011-2012 ECDC PPS EARS-Net
  25. 24 Occurrence of carbapenem-resistant Acinetobacter baumannii (CRAb) (all types of isolates) based on self-assessment by national experts, EuSCAPE project, 38 European countries, March 2013 The stage designations for CRAb should be taken with caution for all 38 participating countries. Most national experts highlighted that the exact epidemiology of CRAb remains uncertain in their country, because at the time of the survey surveillance and reporting of CRAb are not
  26. 25 Occurrence of carbapenem-resistant Acinetobacter baumannii (CRAb) (all types of isolates) based on self-assessment by national experts, EuSCAPE project, 38 European countries, March 2013 The stage designations for CRAb should be taken with caution for all 38 participating countries. Most national experts highlighted that the exact epidemiology of CRAb remains uncertain in their country, because at the time of the survey surveillance and reporting of CRAb are not EARS-Net
  27. 26 Summary: Reporting capacity • Number of reporting countries increased from 18 in 2013 to 27 in 2014 • Most isolates had susceptibility information on all three antimicrobial groups under regular surveillance • Number of reported isolates were in most cases equal to or higher than estimated in 2011 • Number of reported isolates increased in most countries between 2013 and 2014 • Proportion Acinetobacter spp isolates varied between countries, and was especially high in south-eastern countries • Frequency of Acinetobacter spp is similar as reported from ECDC PPS
  28. 27 Summary: Resistance situation • Large variations in antimicrobial resistance of Acinetobacter spp. isolates in Europe were reported, with generally higher resistance percentages reported from countries in the south of Europe than in the north. • Carbapenem resistance was common, and in most cases combined with resistance to fluoroquinolones and aminoglycosides. • Results are difficult to compare between EARS-Net and PPS and EuSCAPE, but shows a similar geographical gradient
  29. 28 Suggested way forward: • Keep surveillance of Acinetobacter spp in EARS-Net in current format: • Reporting on genus level (i.e., Acinetobacter spp) • Panel of antimicrobials: fluoroquinolones, aminoglycosides, carbapenems and polymyxins
  30. Presenting penicillin susceptibility data in S. pneumoniae - improving comparability
  31. 30 The problem 30 • S. pneumoniae breakpoints for penicillin susceptibility differ depending on clinical guidelines used and site of infection. • The use of clinical breakpoints differ between countries. Many countries are now changing fro use of CLSI to EUCAST.
  32. 31 Penicillin susceptibility in S. pneumoniae: Use of clinical breakpoints for 2012 data 31 EUCAST non-menigitis 14% EUCAST depending on site of infection 40% CLSI meningitis 13% CLSI depending on site of infection 13% CLSI oral 13% Mix 7% Number of respondents: 14/29 countries
  33. 32 Use of clinical guidelines, by year, 2008-2013 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 2008 2009 2010 2011 2012 2013 CLSI EUCAST+
  34. 33
  35. 34 Penicillin susceptibility in S. pneumoniae: Reporting of quantitative information (2013) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% AT BE BG CY CZ DE DK EE EL FI FR HR HU IE IS ES LT LU LV MT NL NO PL PT RO SE SI SK UK No info Zone diam results % MIC result% Gradient strip result %
  36. 35 Suggested way forward Present data according to fixed breakpoints: MIC S <= 0.06 mg/L (R>2 mg/L) Limit results to non-susceptible (better harmonisation between breakpoints)? How to achieve this? 1. MS adjust their SIR interpretation before data upload - If not possible, countries can still report data but need to inform ECDC that the set breakpoints are not used 2. ECDC analyse according to reported quantitative data - Reporting of quantitative data must increase to make this meaningful
Anúncio