Abstract
Antimicrobial resistance (AMR) in Greece is among the highest across the European Union/European Economic Area (EU/EEA), with high AMR rates even to last-line antibiotics. To better understand the clinical microbiology laboratory practices and capacities in species identification and antimicrobial susceptibility testing (AST) across public healthcare establishments in Greece, we sent a questionnaire to 98 of 128 public hospital microbiology laboratories between 1 February and 1 April 2022. Of the 73.5% (72/98) that responded, 51.4% (37/72) reported using EUCAST guidelines. Two of three laboratories used an automated instrument for species identification and AST for all laboratory samples. Broth microdilution for colistin susceptibility testing was used by 46 of the laboratories, more frequently in larger (> 400 beds) versus smaller (< 400 beds) hospitals (90.5% (19/21) vs 52.9% (27/51) respectively, p = 0.011). MALDI-TOF mass spectrometry was available in one of 10 laboratories, and more often in larger compared to smaller hospitals (p = 0.035). Although the majority of laboratories had a laboratory information system (LIS) in place, only half had the capacity to extract data directly from the LIS for the purpose of AMR surveillance; 73.6% (53/72) used restrictive antibiograms. Public microbiology laboratory AMR capacities in Greece require improvement, prioritising interventions for EUCAST guidelines implementation.
Keywords: Antimicrobial Susceptibility Testing, Practices, Capacity, EUCAST, CLSI, Microbiology labs
Background
Antimicrobial resistance (AMR) is one of the top 10 global public health threats facing humanity, according to the World Health Organization (WHO) [1]. In 2019, the United States (US) Centers for Disease Control and Prevention (CDC) reported that more than 2.8 million antimicrobial-resistant infections occur in the US each year, while more than 35,000 patients die because of AMR and its consequences [2]. Data from the European Antimicrobial Resistance Surveillance Network (EARS-Net) estimated that in 2020 more than 800,000 infections occurred in the European Union/European Economic Area (EU/EEA) because of antibiotic resistant bacteria, while more than 35,000 people died as a direct consequence of these infections [3].
Meanwhile, last-line antibiotics are failing and nosocomial infections are difficult to treat [4,5]. If proactive measures are not implemented, deaths because of AMR could reach 10 million annually by the year 2050, incurring a total global cost of 100 trillion US dollars (EUR 91 trillion) [5]. At the same time, projected trends in the EU/EEA estimate that up to EUR 1.1 billion are expected to be spent yearly between 2015 and 2050 to address AMR. This corresponds to about 1.8 EUR per capita per year on average, while in countries with high AMR rates (Italy, Malta, Luxembourg and Greece), this cost reaches about 4.1–4.8 EUR per capita per year [6].
Antimicrobial resistance in Greece is among the highest across the EU/EEA. The latest report (2021) from the EARS-Net revealed that Greece ranked first in combined resistance of Klebsiella pneumoniae to third-generation cephalosporins, fluoroquinolones and aminoglycosides (resistance rate (RR): 67.4%), second in meticillin resistance of Staphylococcus aureus (RR: 41.9%) and third in combined resistance of Acinetobacter baumannii to fluoroquinolones, aminoglycosides and carbapenems (RR: 91.4%) [7]. Antimicrobial resistance also affects paediatric patients in Greece, as demonstrated in a 2019 study, which reported 100% resistance of Acinetobacter species to carbapenems in paediatric and neonatal intensive care units and in haematology/oncology units [8].
Surveillance is the cornerstone for designing and implementing infection prevention and control measures and relies on diagnostic laboratory capacity for prompt and accurate pathogen identification and antimicrobial susceptibility testing (AST) [1]. There are two international organisations that provide the interpretive criteria for in vitro susceptibility data of pathogens: the Clinical and Laboratory Standards Institute (CLSI) in the United States [9] and the European Committee on Antimicrobial Susceptibility Testing (EUCAST) [10]. In 2018, the European Commission enacted legislation promoting the use of EUCAST among EU countries, a measure also adopted by the EARS-Net reporting protocol, which began accepting data only from EUCAST laboratories in 2019 [11,12]. European countries as well as others worldwide have adopted EUCAST for their everyday microbiology practice and patient care, ensuring comparable AMR results between different settings and standardised AMR surveillance processes [13].
In this Perspective, we examine the practices and capacities for pathogen/species identification and AST in the microbiology labs of the public healthcare sector in Greece.
Current situation in Greece
WHONET-Greece is the national network responsible for AMR surveillance in Greek hospitals. Initiated in 1995, it uses routine AST testing data of clinical samples processed at hospital microbiology labs [14,15]. WHONET-Greece participates in both the EARS-Net and the Global Antimicrobial Surveillance System (GLASS) [14].
In Greece, microbiology laboratories were initially aligned to CLSI guidelines, and adoption of EUCAST guidelines has been slow [16]. The variability in AMR surveillance practices means that data contributed to EARS-Net by the WHONET-Greece have decreased in the past 3 years, as data contribution is limited to only EUCAST-aligned laboratories. The continued use of CLSI guidelines in Greece is likely due to the challenging conditions that the public hospital sector and the microbiology laboratories experienced after the financial crisis of 2009. The lack of specialised staff (microbiologists and technicians) predisposes the personnel negatively to any change in practice as it seen as an additional burden. The substantial increase in workload during the COVID-19 pandemic could have been another reason to enhanced resistance to change. The switch to EUCAST guidelines, which would require human resources, time and effort, could seem overwhelming, especially if the added value of such a change is underestimated and only vaguely understood.
The inconsistency in AMR microbiology laboratory practices in Greece adds to the present AMR surveillance limitations, and likely contributes to the high levels of AMR in the country. This inconsistency, combined with the high rates of healthcare-associated infections and the high antibiotic consumption, especially with regard to broad-spectrum antibiotics, adds to the problem [17-19].
Under this scope, the Greek National Public Health Organisation (NPHO) surveyed hospital microbiology laboratories to document the practices and capacities for pathogen/species identification and AST in the microbiology laboratories within the public healthcare sector in Greece, as well as to address inconsistency problems and relevant gaps, focusing on the country’s adoption of EUCAST methodology and guidelines.
Design and setting of the survey
The NPHO conducted a survey between 1 February and 1 April 2022, among all microbiology laboratories within public healthcare facilities in Greece, including primary, secondary and tertiary healthcare facilities, as well as university hospitals. Additional details on inclusion criteria, definitions of healthcare facilities, statistical analysis etc. can be found in the Supplementary Material S1. All microbiology laboratories in the country that fulfilled the inclusion criteria received a questionnaire via email. The questionnaire consisted of 13 questions, which covered: (i) the type of AST guidelines used (EUCAST vs CLSI), (ii) the types of laboratory testing methods available, (iii) the existence and interconnection of a laboratory information system (LIS) and (iv) the use of restrictive antibiogram for antimicrobial susceptibility reporting. The English translation of the questionnaire is provided in Supplementary Material S2.
Survey outcome
The questionnaire was sent to 98 of total 128 microbiology laboratories in the country that fulfilled the inclusion criteria. The 30 excluded were most frequently located within primary healthcare facilities. Of the 98 laboratories included, 72 (73.5%) responded, including 21 of 25 national public hospitals with a capacity of over 400 beds and all seven national university hospital laboratories.
Antimicrobial susceptibility testing guidelines in use
EUCAST guidelines were used by 51.4% (37/72) of the laboratories, and CLSI guidelines were used by 48.6% (35/72) of the laboratories. One of the laboratories using CLSI had planned to switch to EUCAST guidelines in the month after survey completion, while none used both methods. Most (76.5%; 64/72) of the EUCAST laboratories had started using EUCAST guidelines only after the relevant EU Commission regulation (see Table).
Table. Laboratory capacities with regard to pathogen identification and antimicrobial susceptibility testing according to hospital type and hospital bed capacity, Greece, 2022 (n = 72 laboratories).
Variables | Hospital type | Hospital bed capacity | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Hospitals, total (n = 72) |
University hospitals (n = 7) |
> 400 beds (n = 21, including 5 university hospitals) |
< 400 beds (n = 51, including 2 university hospitals) |
Hospitals > 400 vs < 400 beds | ||||||
n | % | n | % | n | % | n | % | p value | ||
Antimicrobial susceptibility testing guidelines | EUCAST | 37 | 51.4 | 5 | 71.4 | 13 | 61.9 | 24 | 47.1 | 0.519 |
CLSI | 35 | 48.6 | 2 | 28.6 | 8 | 38.1 | 27 | 52.9 | ||
EUCAST implementation before European Commission regulation [11] | 8a | 23.5 | 3b | 75.0 | 3c | 23.1 | 5 | 23.8 | 0.999 | |
Automated instrument use for species identification and antibiotic susceptibility testingd,e | Systematic | 44 | 66.7 | 7 | 100 | 13 | 61.9 | 31 | 68.9 | 0.855 |
Selective | 22 | 33.3 | 0 | 0 | 8 | 38.1 | 14 | 31.1 | ||
Kirby–Bauer disk diffusion method use | 58 | 80.6 | 6 | 85.7 | 18 | 85.7 | 40 | 78.4 | 0.777 | |
If the Kirby–Bauer disk diffusion method is used, availability of an automated plate reader | 6 | 10.3 | 1 | 16.7 | 2 | 11.1 | 4 | 10.0 | 0.992 | |
Broth microdilution use for colistin susceptibility testing | 46 | 63.9 | 6 | 85.7 | 19 | 90.5 | 27 | 52.9 | 0.011* | |
MALDI-TOF mass spectrometry use | 7 | 9.7 | 4 | 57.1 | 5 | 23.8 | 2 | 3.9 | 0.035* | |
LIS use in the lab | 65 | 90.3 | 6 | 85.7 | 17 | 81.0 | 48 | 94.1 | 0.230 | |
Connection of LIS with automated instrument for species identification and antibiotic susceptibility testing | 38 | 58.5 | 6 | 100 | 12 | 70.6 | 25 | 52.1 | 0.416 | |
Connection of LIS with hospital HIS | 30 | 46.2 | 3 | 50.0 | 4 | 23.5 | 26 | 54.2 | 0.093 | |
Data extraction directly from LIS for purposes of AMR surveillancef | 31 | 47.7 | 5 | 83.3 | 11 | 64.7 | 20 | 41.7 | 0.263 | |
Restrictive antibiogram useg | 53 | 73.6 | 4 | 57.1 | 14 | 66.7 | 39 | 76.5 | 0.692 | |
Restrictive antibiogram use, frequencyg | Always | 8 | 11.1 | 2 | 28.6 | 2 | 9.5 | 6 | 11.8 | |
Often | 18 | 25.0 | 0 | 0 | 3 | 14.3 | 15 | 29.4 | ||
Sometimes | 7 | 9.7 | 1 | 14.3 | 1 | 4.8 | 6 | 11.8 | ||
Seldom | 20 | 27.8 | 1 | 14.3 | 8 | 38.1 | 12 | 24.0 | ||
Never | 19 | 26.4 | 3 | 42.9 | 7 | 33.3 | 12 | 23.1 |
AMR: antimicrobial resistance; CLSI: Clinical and Laboratory Standards Institute; EUCAST: European Committee on Antimicrobial Susceptibility Testing; HIS: health information system; LIS: laboratory information system; MALDI-TOF: Matrix-assisted laser desorption ionisation-time of flight.
a 34/37 of the laboratories answered this question.
b 4/5 of the laboratories answered this question.
c 21/24 of the laboratories answered this question.
d Six laboratories do not have the instrument in place.
e Systematic for all clinical specimens, and selective for specific isolates (like blood isolates) or for complicated cases of infection.
f Laboratory capacity to extract AMR data directly from the LIS for the purposes of AMR surveillance (in Greece, to WHONET Greece, the national database collection AMR data from the hospitals).
g Use of restrictive antibiogram for antimicrobial susceptibility reporting in the hospital level (restrictive reporting of selected antimicrobial susceptibilities).
A chi-squared test was used for the correlation between hospitals > 400 and hospitals < 400 beds. P values below 0.05 indicated with an asterisk were considered significant.
EUCAST implementation was higher in university hospitals (5/7) and large hospitals with over 400 beds (13/21), compared with implementation in smaller hospitals with fewer than 400 beds (24/51). However, these differences were not statistically significant.
Laboratory testing practice
Two of three (66.7%; 44/66) laboratories used an automated instrument for species identification and AST for all samples: 15 used such an instrument selectively for all blood isolates, four for difficult cases only and two for all the resistant pathogens (Table). The Kirby–Bauer disk diffusion method is used in order to determine the susceptibility of pathogenic bacteria to various antimicrobial compounds, and support clinicians with their decision regarding antimicrobial treatment for their patients. This method was used by 80.6% (58/72) of the microbiology laboratories. However, only 10.3% (n = 6) of those laboratories reported having an automated plate reader in place, which provides rapid and accurate phenotypic AST data for several available antibiotics in a single test. Hospital type did not impact the existence and use of the Kirby–Bauer method (Table).
Both EUCAST and CLSI recommend broth microdilution (BMD) for antimicrobial susceptibility testing of colistin [20]. This recommendation was also adopted by the Greek National Antibiogram Committee (NAC) and an increasing number of hospital laboratories have complied. The broth microdilution method for colistin susceptibility testing was used by 63.9% (46/72) of the laboratories. However, this method was used more frequently in larger hospitals with over 400 beds than in hospitals with < 400 beds (90.5% vs 52.9% respectively, p = 0.011, Table). Determining colistin resistance in an accurate way is considered very important in Greece, since resistance to colistin is often observed by clinicians, but cumulative data with regard to colistin resistance of pathogens in a national level are lacking [14].
Matrix-assisted laser desorption ionisation-time of flight (MALDI-TOF) mass spectrometry (MS) has been recognised as a rapid and accurate diagnostic tool for pathogen identification, distinguishing bacterial and fungal isolates within minutes [21]. MALDI-TOF MS was, however, available only in around one in 10 microbiology laboratories that responded (7/72, 9.7%). Again, this method was available more frequently in large hospitals compared with smaller hospitals (23.8% versus 3.9% respectively, p = 0.035), but was mainly used in university hospitals (Table).
Laboratory information system: existence and interconnection
Laboratory information systems have been developed to organise laboratory results in patient records, as well as to link data from different laboratories (haematology, biochemistry, microbiology, etc.), laboratories and clinicians. Use of LIS also enables connection between laboratories and hospital records in terms of financial aspects (through interconnection with the hospital information system (HIS)). The LIS is an essential tool to manage the information flow between healthcare providers, patients and laboratories [22].
The majority of the microbiology laboratories that responded to the questionnaire (90.3%) reported having an LIS system in place, and this percentage did not differ between hospital types (Table). The LIS was connected to the automated instrument for species identification and AST for 58.5% (38/65) of the laboratories, while LIS was connected to the hospital HIS in 46.2% (30/65) of the laboratories. Less than half of the laboratories (47.7%) had the capacity to extract AMR data directly from the LIS system for the purposes of the Greek AMR surveillance system (WHONET-Greece) [14].
Use of restrictive antibiogram for antimicrobial susceptibility reporting
A restrictive antibiogram is a method of selectively reporting antibiotic susceptibility tests depending on the microorganism identified, and it is thought to be an essential part of antimicrobial stewardship programs according to the Infectious Disease Society of America (IDSA), leading to immediate reductions in antimicrobial prescribing and cost [23]. Restrictive antibiograms reduce the number of performed complicated AST diagnostics, helping clinicians treat the majority of the patients before deciding to proceed to specific antimicrobial susceptibility tests in more complicated cases of infection.
Almost three of four (73.6%; 53/72) laboratories used restrictive antibiograms. However, there was a variability in how often this method was used. Only 11.1% (8/72) of the laboratories reported that they always use it, one quarter (25.0%; 18/72) used it often, 27.7% (20/72) used it seldom and 8.3% (6/72) used it selectively (for community specimens, urine cultures, or according to the hospitalisation unit and the hospital pathogen epidemiology). The use of restrictive antibiogram was more likely to be used in laboratories of smaller hospitals with fewer than 400 beds (76.5%; 39/51) than in laboratories of larger hospitals with more than 400 beds (66.7%; 14/21). The choice of antimicrobial susceptibility testing guidelines (EUCAST vs CLSI) did not affect the use of restrictive antibiogram (p = 0.804), regardless of the hospital type (over 400 beds, p = 0.817; university hospitals, p = 0.971; less than 400 beds, p = 0.973).
Adoption of EUCAST guidelines
In Greece, there has been a gradual adoption of EUCAST guidelines; from less than 10% of laboratories in 2013 [16] to 10–50% of the laboratories in April of 2021 [13]. We found that slightly more than 50% of the participating microbiology laboratories have adopted EUCAST breakpoints, mostly laboratories in university and larger hospitals; confirming the slow process. Our results are comparable to the 50–65% reported recently in Spain [24].
Other countries within and outside the EU will be faced with the similar challenges, and possible implications, such as changes in the resistance percentages and consequently the epidemiology of local resistance patterns, are already seen on the horizon [25-28]. However, despite the potential drawbacks, it is important to note that EUCAST standards are grounded in well-supported pharmacodynamic-pharmacokinetic research, the guidelines are easily and freely accessible online, and they provide a convenient mechanism for comparing data across countries that are in the same extended geographic area. Another advantage of using EUCAST guidelines is the fact that CLSI guidelines have an annual cost, which can be an additional burden in under-resourced healthcare systems [27], whether in low-middle income countries (LMIC) or high-income countries (HIC). However, EUCAST uses horse blood for Mueller–Hinton agar (MHA) which can be hard to find in some areas such as South-East Asia [28].
For Greece, but also for other countries in the European and Mediterranean area, adopting a single system will be an important step towards standardisation. Using the same system with our surrounding countries means that data will not only be comparable within Greece, since all laboratories will be following the same guidelines, but also with laboratories in other countries with which we collaborate.
Harmonisation and standardisation are important in the fight against antimicrobial resistance and the achievement of better patient outcomes. By using the same guidelines and methods, data collected and compared across different regions can provide valuable information on the emergence and spread of resistant microorganisms. Clear and consistent guidelines on the selection and use of antimicrobial agents ensure that healthcare professionals use drugs appropriately and only when necessary, helping to preserve their effectiveness for future generations, while at the same time warranting that the standards are applied across different regions and countries.
Finally, according to our results, the use of novel technologies for rapid and accurate pathogen identification, such as MALDI-TOF, is limited in the Greek hospital microbiology laboratories. Laboratory information systems, even though available, lack the interconnection with the species identification system or the HIS as well. Our findings are consistent with a recent European Centre for Disease Prevention and Control (ECDC) report, which suggests that not all countries in the EU/EEA have the necessary laboratory capacity to deliver fully effective public health surveillance, as well as to respond to infection threats. Furthermore, there are several gaps with regard to digital interconnection between peripheral laboratories and public health information systems [29].
Conclusion
Harmonisation and standardisation are crucial in addressing antimicrobial resistance, and they are also important for the achievement of better patient outcomes. However, the slow process of integrating harmonised methodology in Greece, along with the gaps in LIS, HIS and species identification systems highlights the limited capacity in Greece to automatically extract data from hospital microbiology laboratories, and subsequently link them with national data on AMR and antimicrobial consumption. Consequently, the surveillance and effective management of the AMR silent pandemic on a national but also on a European level could be impacted negatively.
Ethical statement
The planning, conduct and reporting of studies was in line with the Declaration of Helsinki, as revised in 2013.
Acknowledgements
The authors would like to thank Dr Loukia Zerva, on behalf of the Society of Clinical Microbiology and Laboratory Diagnosis (EKMED) in Athens, Greece, for coordinating several educational actions aiming at the implementation of the EUCAST guidelines by the Greek microbiological laboratories.
Moreover, the authors would like to thank all the healthcare professionals who collaborated in data collection, by providing their valuable answers to our questionnaire, and also for their contribution to the regular operation of the Greek public hospital microbiology labs, especially in the hard days of the COVID-19 pandemic: Antoniou O, Argyropoulou S, Chamilos G, Chatzipanagiotou S, Chinou E, Chryssou SE, Damala M, Daskalaki M, Daskalopoulou K, Deliolanis I, Diamanti I, Dilopoulou A, Dionisopoulou M, Drosopoulou L.P, Fytas P, Gartzonika K, Giannopoulou P, Iatroudelli I, Kafkoula E, Karagiannopoulou E, Karapavlidou P, Karathanou M, Karle P, Katsifa E, Kiouvelli E, Kontopoulou K, Kotsona I, Koulourida V, Lebessi E, Legga O, Maraki S, Martsoukou M, Moraitou E, Mpaka S, Mpakosi A, Oikonomopoulou E, Oikonomou M, Oustas E, Palamouti M, Paliogianni F, Palla E, Panagea T, Panagiotaki E, Paneta K, Panopoulou M, Papadogianni M, Papadopoulos G, Paschali A, Pavlou A, Perivolioti E, Petinaki E, Poulou A, Pournaras S, Protonotariou E, Rizou A, Rossos G, Sereti S, Silleli C, Skarpentzou A, Tatsiopoulos A, Tsalidou M, Tsikrikonis G, Tsiliggiris A, Tsiplakou S, Tsouchnika E, Vagdatli E, Vagiakou E, Vasileiadou A, Venetis A, Vlachou T, Voulgaridi I, Xanthaki A, Zachariadou L, Zarkotou O.
Supplementary Data
Conflict of interest: None declared.
Authors’ contributions: Conceptualisation: SK, IK, TZ. Methodology: SK, IK, MP, KT. Formal analysis: SK, IK, MP, KT. Writing—original draft preparation: SK, IK. Writing—review and editing: SK, IK, MP, KT, TZ. Supervision: KT, TZ.
References
- 1.World Health Organization (WHO). Global antimicrobial resistance and use surveillance system (GLASS) report: 2021. Geneva: WHO; 2021. Available from: https://www.who.int/publications/i/item/9789240062702
- 2.Centers for Disease Control and Prevention (CDC). Antibiotic resistance threats in the United States, 2019. Atlanta: CDC; 2019. Available from: 10.15620/cdc:82532 [DOI]
- 3.European Centre for Disease Prevention and Control (ECDC). Health burden of infections with antibiotic-resistant bacteria in the European Union and the European Economic Area, 2016-2020. Stockholm: ECDC, 2022. Available from: https://www.ecdc.europa.eu/en/publications-data/health-burden-infections-antibiotic-resistant-bacteria-2016-2020
- 4.European Centre for Disease Prevention and Control (ECDC). Last-line antibiotics are failing: options to address this urgent threat to patients and healthcare systems. Stockholm: ECDC; 2016. Available from: https://www.ecdc.europa.eu/en/publications-data/last-line-antibiotics-are-failing-options-address-urgent-threat-patients-and
- 5.The Review on Antimicrobial Resistance. Tackling drug-resistant infections globally: Final report and recommendations, 2016. Chair: O’Neill J. Available from: https://amr-review.org/sites/default/files/160525_Final%20paper_with%20cover.pdf
- 6.Organisation for Economic Co-operation and Development (OECD). Stemming the superbug tide: just a few dollars more, OECD Health Policy Studies. Paris: OECD Publishing; 2018. Available from: 10.1787/9789264307599-en 10.1787/9789264307599-en [DOI] [Google Scholar]
- 7.European Centre for Disease Prevention and Control (ECDC). Surveillance Atlas of Infectious Diseases. Stockholm: ECDC. [Accessed: 8 Mar 2023]. Available from: https://atlas.ecdc.europa.eu/public/index.aspx
- 8. Kouni S, Tsolia M, Roilides E, Dimitriou G, Tsiodras S, Skoutelis A, et al. Establishing nationally representative central line-associated bloodstream infection surveillance data for paediatric patients in Greece. J Hosp Infect. 2019;101(1):53-9. 10.1016/j.jhin.2018.07.032 [DOI] [PubMed] [Google Scholar]
- 9.Clinical and Laboratory Standards (CLSI). Performance standards for antimicrobial susceptibility testing. Thirty-second edition. Wayne, PA; CLSI supplement M100. 2022. Available from: https://clsi.org
- 10.European Committee on Antimicrobial Susceptibility Testing (EUCAST). EUCAST guidelines for detection of resistance mechanisms and specific resistances of clinical and/or epidemiological importance – Version 2.0. Växjö: EUCAST; 2017. Available from: https://www.eucast.org/resistance_mechanisms
- 11.European Commission. Commission Implementing Decision (EU) 2018/945 of 22 June 2018 on the communicable diseases and related special health issues to be covered by epidemiological surveillance as well as relevant case definitions (Text with EEA relevance.). Official Journal of the European Union. Luxembourg: Publications Office of the European Union. 6.7.2018: L170. Available from: https://eur-lex.europa.eu/eli/dec_impl/2018/945/oj
- 12.European Centre for Disease Prevention and Control (ECDC). EARS-Net reporting protocol 2023. Stockholm: ECDC; 2023. Available from: https://www.ecdc.europa.eu/en/publications-data/ears-net-reporting-protocol-2023
- 13. Giske CG, Turnidge J, Cantón R, Kahlmeter G, EUCAST Steering Committee . Update from the European Committee on Antimicrobial Susceptibility Testing (EUCAST). J Clin Microbiol. 2022;60(3):e0027621. 10.1128/jcm.00276-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.National Public Health Organization (NPHO). WHONET – Greece. Athens: NPHO School of Public Health. [Accessed: 8 Mar 2023]. Available from: https://www.mednet.gr/whonet
- 15. Vatopoulos AC, Kalapothaki V, Legakis NJ, The Greek Network for the Surveillance of Antimicrobial Resistance . An electronic network for the surveillance of antimicrobial resistance in bacterial nosocomial isolates in Greece. Bull World Health Organ. 1999;77(7):595-601. [PMC free article] [PubMed] [Google Scholar]
- 16. Brown D, Cantón R, Dubreuil L, Gatermann S, Giske C, MacGowan A, et al. Widespread implementation of EUCAST breakpoints for antibacterial susceptibility testing in Europe. Euro Surveill. 2015;20(2):21008. 10.2807/1560-7917.ES2015.20.2.21008 [DOI] [PubMed] [Google Scholar]
- 17.European Centre for Disease Prevention and Control (ECDC). Antimicrobial consumption in the EU/EEA (ESAC-Net) – Annual Epidemiological Report 2021. Stockholm: ECDC; 2022. Available from: https://www.ecdc.europa.eu/en/publications-data/surveillance-antimicrobial-consumption-europe-2021
- 18.European Centre for Disease Prevention and Control (ECDC). Point prevalence survey of healthcare-associated infections and antimicrobial use in European acute care hospitals 2011-2012. Stockholm: ECDC; 2013. Available from: https://www.ecdc.europa.eu/en/publications-data/point-prevalence-survey-healthcare-associated-infections-and-antimicrobial-use-0 [DOI] [PubMed]
- 19. Suetens C, Latour K, Kärki T, Ricchizzi E, Kinross P, Moro ML, et al. Prevalence of healthcare-associated infections, estimated incidence and composite antimicrobial resistance index in acute care hospitals and long-term care facilities: results from two European point prevalence surveys, 2016 to 2017. Euro Surveill. 2018;23(46):1800516. 10.2807/1560-7917.ES.2018.23.46.1800516 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.CLSI-EUCAST joint Polymyxin Breakpoints Working Group. Recommendations for MIC determination of colistin (polymyxin E) as recommended by the joint CLSI-EUCAST Polymyxin Breakpoints Working Group. Växjö: EUCAST; 2016. Available from: https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/General_documents/Recommendations_for_MIC_determination_of_colistin_March_2016.pdf
- 21. Dingle TC, Butler-Wu SM. Maldi-tof mass spectrometry for microorganism identification. Clin Lab Med. 2013;33(3):589-609. 10.1016/j.cll.2013.03.001 [DOI] [PubMed] [Google Scholar]
- 22. Sepulveda JL, Young DS. The ideal laboratory information system. Arch Pathol Lab Med. 2013;137(8):1129-40. 10.5858/arpa.2012-0362-RA [DOI] [PubMed] [Google Scholar]
- 23. Dellit TH, Owens RC, McGowan JE, Jr, Gerding DN, Weinstein RA, Burke JP, et al. Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship. Clin Infect Dis. 2007;44(2):159-77. 10.1086/510393 [DOI] [PubMed] [Google Scholar]
- 24. Larrosa MN, Benito N, Cantón R, Canut A, Cercenado E, Fernández-Cuenca F, et al. From CLSI to EUCAST, a necessary step in Spanish laboratories. Enferm Infecc Microbiol Clin (Engl Ed). 2020;38(2):79-83. English, Spanish. 10.1016/j.eimce.2018.09.010 [DOI] [PubMed] [Google Scholar]
- 25. Hazırolan G. Transition from CLSI to EUCAST: How our antibiotic susceptibility tests will be affected. Turk Hij Deney Biyol Derg. 2021;78(3):287-98. 10.5505/TurkHijyen.2021.25428 [DOI] [Google Scholar]
- 26. Sánchez-Bautista A, Coy J, García-Shimizu P, Rodríguez JC. From CLSI to EUCAST guidelines in the interpretation of antimicrobial susceptibility: What is the effect in our setting? Enferm Infecc Microbiol Clin (Engl Ed). 2018;36(4):229-32. English, Spanish. 10.1016/j.eimce.2018.02.012 [DOI] [PubMed] [Google Scholar]
- 27. Kassim A, Omuse G, Premji Z, Revathi G. Comparison of Clinical Laboratory Standards Institute and European Committee on Antimicrobial Susceptibility Testing guidelines for the interpretation of antibiotic susceptibility at a university teaching hospital in Nairobi, Kenya: a cross-sectional study. Ann Clin Microbiol Antimicrob. 2016;15(1):21. 10.1186/s12941-016-0135-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Cusack TP, Ashley EA, Ling CL, Roberts T, Turner P, Wangrangsimakul T, et al. Time to switch from CLSI to EUCAST? A Southeast Asian perspective. Clin Microbiol Infect. 2019;25(7):782-5. 10.1016/j.cmi.2019.03.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.European Centre for Disease Prevention and Control (ECDC). EU laboratory capability monitoring system (EULabCap): report on 2018 survey of EU/EEA country capabilities and capacities. Stockholm: ECDC; 2020. Available from: https://www.ecdc.europa.eu/en/publications-data/eu-laboratory-capability-monitoring-system-eulabcap-2018
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