Pub Date : 2024-05-13DOI: https://doi.org/cdi.2024.48.22
Monica M Lahra, Tiffany R Hogan
Abstract: The reference laboratories of the Australian Meningococcal Surveillance Programme (AMSP) report data on the number of cases of invasive meningococcal disease (IMD) confirmed by laboratory testing using culture and molecular based techniques. Data contained in quarterly reports are restricted to a description of case numbers of IMD by jurisdiction and serogroup, where known. A full analysis of laboratory confirmations of IMD in each calendar year are contained in the AMSP annual reports.
{"title":"Meningococcal Surveillance Australia: Reporting period 1 July to 30 September 2023.","authors":"Monica M Lahra, Tiffany R Hogan","doi":"https://doi.org/cdi.2024.48.22","DOIUrl":"https://doi.org/https://doi.org/cdi.2024.48.22","url":null,"abstract":"<p><strong>Abstract: </strong>The reference laboratories of the Australian Meningococcal Surveillance Programme (AMSP) report data on the number of cases of invasive meningococcal disease (IMD) confirmed by laboratory testing using culture and molecular based techniques. Data contained in quarterly reports are restricted to a description of case numbers of IMD by jurisdiction and serogroup, where known. A full analysis of laboratory confirmations of IMD in each calendar year are contained in the AMSP annual reports.</p>","PeriodicalId":36867,"journal":{"name":"Communicable diseases intelligence (2018)","volume":"48 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141459775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: https://doi.org/cdi.2024.48.21
Monica M Lahra, Prashanthi Sai Krishnan, Tiffany R Hogan
Abstract: The reference laboratories of the Australian Meningococcal Surveillance Programme (AMSP) report data on the number of cases of invasive meningococcal disease (IMD) confirmed by laboratory testing using culture and molecular based techniques. Data contained in quarterly reports are restricted to a description of case numbers of IMD by jurisdiction and serogroup, where known. A full analysis of laboratory confirmations of IMD in each calendar year are contained in the AMSP annual reports.
{"title":"Meningococcal Surveillance Australia: Reporting period 1 April to 30 June 2023.","authors":"Monica M Lahra, Prashanthi Sai Krishnan, Tiffany R Hogan","doi":"https://doi.org/cdi.2024.48.21","DOIUrl":"https://doi.org/https://doi.org/cdi.2024.48.21","url":null,"abstract":"<p><strong>Abstract: </strong>The reference laboratories of the Australian Meningococcal Surveillance Programme (AMSP) report data on the number of cases of invasive meningococcal disease (IMD) confirmed by laboratory testing using culture and molecular based techniques. Data contained in quarterly reports are restricted to a description of case numbers of IMD by jurisdiction and serogroup, where known. A full analysis of laboratory confirmations of IMD in each calendar year are contained in the AMSP annual reports.</p>","PeriodicalId":36867,"journal":{"name":"Communicable diseases intelligence (2018)","volume":"48 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141459774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract: The reference laboratories of the Australian Meningococcal Surveillance Programme (AMSP) report data on the number of cases of invasive meningococcal disease (IMD) confirmed by laboratory testing using culture and molecular based techniques. Data contained in quarterly reports are restricted to a description of case numbers of IMD by jurisdiction and serogroup, where known. A full analysis of laboratory confirmations of IMD in each calendar year are contained in the AMSP annual reports.
{"title":"Meningococcal Surveillance Australia: Reporting period 1 October to 31 December 2023.","authors":"Monica M Lahra, Tiffany R Hogan","doi":"10.33321/cdi.2024.48.23","DOIUrl":"10.33321/cdi.2024.48.23","url":null,"abstract":"<p><strong>Abstract: </strong>The reference laboratories of the Australian Meningococcal Surveillance Programme (AMSP) report data on the number of cases of invasive meningococcal disease (IMD) confirmed by laboratory testing using culture and molecular based techniques. Data contained in quarterly reports are restricted to a description of case numbers of IMD by jurisdiction and serogroup, where known. A full analysis of laboratory confirmations of IMD in each calendar year are contained in the AMSP annual reports.</p>","PeriodicalId":36867,"journal":{"name":"Communicable diseases intelligence (2018)","volume":"48 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141459776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: https://doi.org/cdi.2024.48.15
Monica M Lahra, Sebastiaan van Hal, Tiffany R Hogan
Abstract: The Australian National Neisseria Network (NNN) comprises reference laboratories in each state and territory that report data on antimicrobial susceptibility testing to an agreed group of antimicrobial agents for the Australian Gonococcal Surveillance Programme (AGSP). The AGSP data are presented quarterly in tabulated form, as well as in the AGSP annual report. This report presents national gonococcal antimicrobial resistance surveillance data from 1 October to 31 December 2023.
{"title":"Australian Gonococcal Surveillance Programme, 1 October to 31 December 2023.","authors":"Monica M Lahra, Sebastiaan van Hal, Tiffany R Hogan","doi":"https://doi.org/cdi.2024.48.15","DOIUrl":"https://doi.org/https://doi.org/cdi.2024.48.15","url":null,"abstract":"<p><strong>Abstract: </strong>The Australian National Neisseria Network (NNN) comprises reference laboratories in each state and territory that report data on antimicrobial susceptibility testing to an agreed group of antimicrobial agents for the Australian Gonococcal Surveillance Programme (AGSP). The AGSP data are presented quarterly in tabulated form, as well as in the AGSP annual report. This report presents national gonococcal antimicrobial resistance surveillance data from 1 October to 31 December 2023.</p>","PeriodicalId":36867,"journal":{"name":"Communicable diseases intelligence (2018)","volume":"48 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141459770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This is the eightieth epidemiological report for coronavirus disease 2019 (COVID-19), reported in Australia as at 23:59 Australian Eastern Daylight Time [AEST] 22 October 2023. It includes data on COVID-19 cases diagnosed in Australia and the international situation.
{"title":"COVID-19 Australia: Epidemiology Report 80: Reporting period ending 22 October 2023.","authors":"","doi":"10.33321/cdi.2024.48.3","DOIUrl":"10.33321/cdi.2024.48.3","url":null,"abstract":"<p><p>This is the eightieth epidemiological report for coronavirus disease 2019 (COVID-19), reported in Australia as at 23:59 Australian Eastern Daylight Time [AEST] 22 October 2023. It includes data on COVID-19 cases diagnosed in Australia and the international situation.</p>","PeriodicalId":36867,"journal":{"name":"Communicable diseases intelligence (2018)","volume":"48 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140040571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Astrid M Stark, Michael Nohrenberg, Anthony DK Draper, Kimberley E McMahon, Thalia A Hewitt, Kelly Lomas, Vicki L Krause
Leptospirosis is a worldwide zoonotic waterborne disease endemic in tropical and subtropical climates. Outbreaks have been observed in the Northern Territory (NT) of Australia. We briefly described the epidemiology of leptospirosis in the NT between 2012 and 2022, and undertook an investigation of a cluster of three leptospirosis cases observed in crocodile workers between January and December 2022 in the Top End of the NT. A descriptive case series was conducted to investigate the cluster; all three cases were male and non-Aboriginal with a median age of 46.5 years; none took chemoprophylaxis; only one of the three cases reported wearing appropriate protective attire; all reported receiving limited to no education about personal protective measures from their associated workplaces. Higher than average rainfall in both February and December 2022 likely contributed to the increased risk of infection in those months. Changing climate patterns are likely to result in more frequent periods of heavy rain, and risk of contracting leptospirosis in the NT may increase, particularly for those who work in wet and muddy conditions. Promoting the use of protective workplace clothing and equipment, the use of waterproof dressings for skin abrasions, regular hand hygiene, and the consideration of chemoprophylaxis in certain circumstances may prevent future cases.
{"title":"A cluster of leptospirosis cases associated with crocodile workers in the Northern Territory, Australia, 2022.","authors":"Astrid M Stark, Michael Nohrenberg, Anthony DK Draper, Kimberley E McMahon, Thalia A Hewitt, Kelly Lomas, Vicki L Krause","doi":"10.33321/cdi.2023.47.70","DOIUrl":"10.33321/cdi.2023.47.70","url":null,"abstract":"<p><p>Leptospirosis is a worldwide zoonotic waterborne disease endemic in tropical and subtropical climates. Outbreaks have been observed in the Northern Territory (NT) of Australia. We briefly described the epidemiology of leptospirosis in the NT between 2012 and 2022, and undertook an investigation of a cluster of three leptospirosis cases observed in crocodile workers between January and December 2022 in the Top End of the NT. A descriptive case series was conducted to investigate the cluster; all three cases were male and non-Aboriginal with a median age of 46.5 years; none took chemoprophylaxis; only one of the three cases reported wearing appropriate protective attire; all reported receiving limited to no education about personal protective measures from their associated workplaces. Higher than average rainfall in both February and December 2022 likely contributed to the increased risk of infection in those months. Changing climate patterns are likely to result in more frequent periods of heavy rain, and risk of contracting leptospirosis in the NT may increase, particularly for those who work in wet and muddy conditions. Promoting the use of protective workplace clothing and equipment, the use of waterproof dressings for skin abrasions, regular hand hygiene, and the consideration of chemoprophylaxis in certain circumstances may prevent future cases.</p>","PeriodicalId":36867,"journal":{"name":"Communicable diseases intelligence (2018)","volume":"47 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134650117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Geoffrey W Coombs, Denise A Daley, Princy Shoby, Shakeel Mowlaboccus
From 1 January to 31 December 2022, fifty-five institutions across Australia participated in the Australian Enterococcal Surveillance Outcome Program (AESOP). The aim of AESOP 2022 was to determine the proportion of enterococcal bacteraemia isolates in Australia that were antimicrobial resistant, and to characterise the molecular epidemiology of the Enterococcus faecium isolates. Of the 1,535 unique episodes of enterococcal bacteraemia investigated, 92.8% were caused by either E. faecalis (52.9%) or E. faecium (39.9%). Ampicillin and vancomycin resistance were not detected in E. faecalis but were detected in 95.4% and 46.9% of E. faecium respectively. One E. faecalis isolate, with a daptomycin minimum inhibitory concentration (MIC) of 8.0 mg/L, harboured the F478L GdpD mutation. One E. faecium with a daptomycin MIC of 24.0 mg/L harboured the A20D Cls mutation; both mutations are known to be associated with daptomycin resistance. Two E. faecium isolates, one with a linezolid MIC ≥ 256 mg/L and the other with a linezolid MIC of 16 mg/L, harboured the 23S rRNA G2576T mutation, a mutation associated with linezolid resistance in enterococci. Overall, 48.8% of E. faecium harboured either the vanA or the vanB gene, of which 28.0% harboured vanA and 72.0% harboured vanB. The percentage of vancomycin-resistant E. faecium bacteraemia isolates in Australia remains substantially higher than that recorded in most European countries. The E. faecium isolates consisted of 62 multi-locus sequence types (STs); 85.5% of isolates were classified into eight major STs each containing ten or more isolates. All major STs belonged to clonal complex (CC) 17, a major hospital-adapted polyclonal E. faecium cluster. The major STs (ST17, ST78, ST80, ST117, ST555, ST796, ST1421, and ST1424) were each found across most regions of Australia. The predominant ST was ST17, which was identified in all regions. Overall, 53.7% of isolates belonging to the eight major STs harboured the vanA or vanB gene. AESOP 2022 has shown that enterococcal bacteraemia episodes in Australia are frequently caused by polyclonal ampicillin-resistant high-level gentamicin resistant vanA- or vanB-positive E. faecium which have limited treatment options.
{"title":"Australian Group on Antimicrobial Resistance (AGAR) Australian Enterococcal Surveillance Outcome Program (AESOP) Bloodstream Infection Annual Report 2022.","authors":"Geoffrey W Coombs, Denise A Daley, Princy Shoby, Shakeel Mowlaboccus","doi":"10.33321/cdi.2023.47.68","DOIUrl":"10.33321/cdi.2023.47.68","url":null,"abstract":"<p><p>From 1 January to 31 December 2022, fifty-five institutions across Australia participated in the Australian Enterococcal Surveillance Outcome Program (AESOP). The aim of AESOP 2022 was to determine the proportion of enterococcal bacteraemia isolates in Australia that were antimicrobial resistant, and to characterise the molecular epidemiology of the Enterococcus faecium isolates. Of the 1,535 unique episodes of enterococcal bacteraemia investigated, 92.8% were caused by either E. faecalis (52.9%) or E. faecium (39.9%). Ampicillin and vancomycin resistance were not detected in E. faecalis but were detected in 95.4% and 46.9% of E. faecium respectively. One E. faecalis isolate, with a daptomycin minimum inhibitory concentration (MIC) of 8.0 mg/L, harboured the F478L GdpD mutation. One E. faecium with a daptomycin MIC of 24.0 mg/L harboured the A20D Cls mutation; both mutations are known to be associated with daptomycin resistance. Two E. faecium isolates, one with a linezolid MIC ≥ 256 mg/L and the other with a linezolid MIC of 16 mg/L, harboured the 23S rRNA G2576T mutation, a mutation associated with linezolid resistance in enterococci. Overall, 48.8% of E. faecium harboured either the vanA or the vanB gene, of which 28.0% harboured vanA and 72.0% harboured vanB. The percentage of vancomycin-resistant E. faecium bacteraemia isolates in Australia remains substantially higher than that recorded in most European countries. The E. faecium isolates consisted of 62 multi-locus sequence types (STs); 85.5% of isolates were classified into eight major STs each containing ten or more isolates. All major STs belonged to clonal complex (CC) 17, a major hospital-adapted polyclonal E. faecium cluster. The major STs (ST17, ST78, ST80, ST117, ST555, ST796, ST1421, and ST1424) were each found across most regions of Australia. The predominant ST was ST17, which was identified in all regions. Overall, 53.7% of isolates belonging to the eight major STs harboured the vanA or vanB gene. AESOP 2022 has shown that enterococcal bacteraemia episodes in Australia are frequently caused by polyclonal ampicillin-resistant high-level gentamicin resistant vanA- or vanB-positive E. faecium which have limited treatment options.</p>","PeriodicalId":36867,"journal":{"name":"Communicable diseases intelligence (2018)","volume":"47 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134650119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marguerite Dalmau, Chris Coulter, Bridget O'Connor, Jennifer Robson, Emma Field, Stephen Lambert
Background Australia is aiming to reach tuberculosis pre-elimination targets by 2035. As a low-incidence setting, control efforts will increasingly rely on the management of latent tuberculosis infection (LTBI). We undertook this descriptive analysis to assess the recent trends of LTBI testing in Queensland. Methods Our objective was to describe the features of LTBI testing in Queensland, and to estimate the range of possible annual notifications were it to be made a notifiable condition. We collated both state-wide and region-specific data on tuberculin skin testing (TST) and interferon gamma release assays (IGRA) conducted in Queensland during the five-year period 1 January 2016 - 31 December 2020. We used reports on Medicare-funded TST and IGRA testing in Queensland, as well as tuberculosis notification data, to understand the representativeness of our data and to derive state-wide estimates. Results We analysed 3,899 public TST, 5,463 private TST, 37,802 public pathology IGRA, and 31,656 private pathology IGRA results. The median age of people tested was 31 years; 57% of those tested were female. From our data sources, an annual average of 1,067 positive IGRA and 354 positive TST results occurred in Queensland. Building on this minimum value, we estimate possible latent tuberculosis notifications in Queensland could range from 2,901 to 6,995 per annum. Private laboratory TSTs are estimated to contribute the lowest number of potential notifications (range: 170-340), followed by private laboratory IGRA testing (range: 354-922), public laboratory IGRA testing (range: 706-1,138), and public setting TSTs (range: 1,671-4,595). Conclusion If LTBI were to be made notifiable, these estimates would place it among the ten most notified conditions in Queensland. This has implications for potential surveillance methods and goals, and their associated system and resource requirements.
{"title":"A five-year analysis of latent tuberculosis infection in Queensland, 2016-2020.","authors":"Marguerite Dalmau, Chris Coulter, Bridget O'Connor, Jennifer Robson, Emma Field, Stephen Lambert","doi":"10.33321/cdi.2023.47.71","DOIUrl":"10.33321/cdi.2023.47.71","url":null,"abstract":"<p><p>Background Australia is aiming to reach tuberculosis pre-elimination targets by 2035. As a low-incidence setting, control efforts will increasingly rely on the management of latent tuberculosis infection (LTBI). We undertook this descriptive analysis to assess the recent trends of LTBI testing in Queensland. Methods Our objective was to describe the features of LTBI testing in Queensland, and to estimate the range of possible annual notifications were it to be made a notifiable condition. We collated both state-wide and region-specific data on tuberculin skin testing (TST) and interferon gamma release assays (IGRA) conducted in Queensland during the five-year period 1 January 2016 - 31 December 2020. We used reports on Medicare-funded TST and IGRA testing in Queensland, as well as tuberculosis notification data, to understand the representativeness of our data and to derive state-wide estimates. Results We analysed 3,899 public TST, 5,463 private TST, 37,802 public pathology IGRA, and 31,656 private pathology IGRA results. The median age of people tested was 31 years; 57% of those tested were female. From our data sources, an annual average of 1,067 positive IGRA and 354 positive TST results occurred in Queensland. Building on this minimum value, we estimate possible latent tuberculosis notifications in Queensland could range from 2,901 to 6,995 per annum. Private laboratory TSTs are estimated to contribute the lowest number of potential notifications (range: 170-340), followed by private laboratory IGRA testing (range: 354-922), public laboratory IGRA testing (range: 706-1,138), and public setting TSTs (range: 1,671-4,595). Conclusion If LTBI were to be made notifiable, these estimates would place it among the ten most notified conditions in Queensland. This has implications for potential surveillance methods and goals, and their associated system and resource requirements.</p>","PeriodicalId":36867,"journal":{"name":"Communicable diseases intelligence (2018)","volume":"47 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134650118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Meningococcal Surveillance Australia - Reporting period 1 January to 31 March 2023.","authors":"Monica M Lahra, Tiffany R Hogan","doi":"10.33321/cdi.2023.47.59","DOIUrl":"10.33321/cdi.2023.47.59","url":null,"abstract":"","PeriodicalId":36867,"journal":{"name":"Communicable diseases intelligence (2018)","volume":"47 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134650122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jan M Bell, Alicia Fajardo Lubian, Sally R Partridge, Thomas Gottlieb, Jennifer Robson, Jonathan R Iredell, Denise A Daley, Geoffrey W Coombs
The Australian Group on Antimicrobial Resistance (AGAR) performs regular period-prevalence studies to monitor changes in antimicrobial resistance in selected enteric gram-negative pathogens. The 2022 survey was the tenth year to focus on blood stream infections caused by Enterobacterales, and the eighth year where Pseudomonas aeruginosa and Acinetobacter species were included. Fifty-five hospitals Australia-wide participated in 2022. The 2022 survey tested 9,739 isolates, comprising Enterobacterales (8,773; 90.1%), P. aeruginosa (840; 8.6%) and Acinetobacter species (126; 1.3%), using commercial automated methods. The results were analysed using Clinical and Laboratory Standards Institute (CLSI) and European Committee on Antimicrobial Susceptibility Testing (EUCAST) breakpoints (January 2023). Key resistances included resistance to the third-generation cephalosporin ceftriaxone in 12.7%/12.7% (CLSI/EUCAST criteria) of Escherichia coli and in 6.6%/6.6% of Klebsiella pneumoniae complex. Resistance rates to ciprofloxacin were 13.7%/13.7% for E. coli; 7.8%/7.8% for K. pneumoniae complex; 5.3%/5.3% for Enterobacter cloacae complex; and 4.3%/10.0% for P. aeruginosa. Resistance rates to piperacillin-tazobactam were 2.8%/5.9%; 2.9%/8.7%; 18.3%/27.2%; and 6.1%/14.7% for the same four species, respectively. Twenty-nine Enterobacterales isolates from 28 patients were shown to harbour a carbapenemase gene: 18 blaIMP-4; four blaNDM-5; three blaNDM-1; one blaOXA-181; one blaOXA-244; one blaNDM-1 + blaOXA-181; and one blaNDM-5 + blaOXA-181. Transmissible carbapenemase genes were also detected among two Acinetobacter baumannii complex isolates (blaOXA-23) and one P. aeruginosa (blaNDM-1) in the 2022 survey.
{"title":"Australian Group on Antimicrobial Resistance (AGAR) Australian Gram-negative Surveillance Outcome Program (GnSOP) Bloodstream Infection Annual Report 2022.","authors":"Jan M Bell, Alicia Fajardo Lubian, Sally R Partridge, Thomas Gottlieb, Jennifer Robson, Jonathan R Iredell, Denise A Daley, Geoffrey W Coombs","doi":"10.33321/cdi.2023.47.69","DOIUrl":"10.33321/cdi.2023.47.69","url":null,"abstract":"<p><p>The Australian Group on Antimicrobial Resistance (AGAR) performs regular period-prevalence studies to monitor changes in antimicrobial resistance in selected enteric gram-negative pathogens. The 2022 survey was the tenth year to focus on blood stream infections caused by Enterobacterales, and the eighth year where Pseudomonas aeruginosa and Acinetobacter species were included. Fifty-five hospitals Australia-wide participated in 2022. The 2022 survey tested 9,739 isolates, comprising Enterobacterales (8,773; 90.1%), P. aeruginosa (840; 8.6%) and Acinetobacter species (126; 1.3%), using commercial automated methods. The results were analysed using Clinical and Laboratory Standards Institute (CLSI) and European Committee on Antimicrobial Susceptibility Testing (EUCAST) breakpoints (January 2023). Key resistances included resistance to the third-generation cephalosporin ceftriaxone in 12.7%/12.7% (CLSI/EUCAST criteria) of Escherichia coli and in 6.6%/6.6% of Klebsiella pneumoniae complex. Resistance rates to ciprofloxacin were 13.7%/13.7% for E. coli; 7.8%/7.8% for K. pneumoniae complex; 5.3%/5.3% for Enterobacter cloacae complex; and 4.3%/10.0% for P. aeruginosa. Resistance rates to piperacillin-tazobactam were 2.8%/5.9%; 2.9%/8.7%; 18.3%/27.2%; and 6.1%/14.7% for the same four species, respectively. Twenty-nine Enterobacterales isolates from 28 patients were shown to harbour a carbapenemase gene: 18 blaIMP-4; four blaNDM-5; three blaNDM-1; one blaOXA-181; one blaOXA-244; one blaNDM-1 + blaOXA-181; and one blaNDM-5 + blaOXA-181. Transmissible carbapenemase genes were also detected among two Acinetobacter baumannii complex isolates (blaOXA-23) and one P. aeruginosa (blaNDM-1) in the 2022 survey.</p>","PeriodicalId":36867,"journal":{"name":"Communicable diseases intelligence (2018)","volume":"47 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134650120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}