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Oubbéa S, Pilmis B, Seytre D, Lomont A, Billard-Pomares T, Zahar JR, Foucault-Fruchard L. Risk factors for non-isolation of patients admitted for pulmonary tuberculosis in a high-incidence department: a single-centre retrospective study. J Hosp Infect 2025; 155:130-134. [PMID: 39395466 DOI: 10.1016/j.jhin.2024.09.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 09/10/2024] [Accepted: 09/25/2024] [Indexed: 10/14/2024]
Abstract
BACKGROUND Pulmonary tuberculosis (PTB) is an airborne disease, warranting the identification of suspected cases on admission, and their hospitalization in individual rooms with the implementation of airborne supplementary precautions (ASPs). AIM To identify the frequency of non-isolated PTB and the factors associated with the delay in implementing ASPs in a high-prevalence hospital. METHODS This retrospective observational study included patients with at least one Mycobacterium tuberculosis-positive specimen. Patient demographic and clinical data, as well as data related to the mode of admission, were collected. Univariate and multi-variate statistical analyses were performed. FINDINGS During the study period, 256 patients were included. Among them, 134 (52.3%) had PTB (75% males, median age 39 years, 70% foreign-born). Among these patients, 46 (34%) were isolated beyond 24 h of admission. The average time to implement ASPs was 4.3 days, and seven patients (5.2%) were not isolated throughout their hospital stay. Multi-variate analysis indicated that three factors were associated with isolation. Previous consultation with a general practitioner was associated with greater likelihood of isolation, whereas admission through the emergency department was not. The presence of so-called 'cardinal clinical signs' and a suggestive chest x-ray were also associated with greater likelihood of isolation. Finally, European patients were isolated less frequently than foreign-born patients. CONCLUSION In this study, 34% of patients admitted with PTB were not isolated on admission. The likelihood of non-isolation was three times higher in cases admitted via the emergency department, and European patients were isolated less frequently than foreign-born patients. The presence of cardinal signs and prior consultation with a general practitioner were associated with greater likelihood of isolation.
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Affiliation(s)
- S Oubbéa
- Infection Control Unit, Université Sorbonne Paris Nord, Centre Hospitalier Universitaire Avicenne, Assistance Publique - Hôpitaux de Paris, Bobigny, France
| | - B Pilmis
- Equipe Mobile de Microbiologie Clinique, Groupe Hospitalier Paris Saint-Joseph, Paris, France; Institut Micalis UMR 1319, Université Paris-Saclay, Institut National de Recherche Pour l'agriculture, l'alimentation et l'environnement, AgroParisTech, Jouy-en-Josas, France.
| | - D Seytre
- Infection Control Unit, Université Sorbonne Paris Nord, Centre Hospitalier Universitaire Avicenne, Assistance Publique - Hôpitaux de Paris, Bobigny, France
| | - A Lomont
- Infection Control Unit, Université Sorbonne Paris Nord, Centre Hospitalier Universitaire Avicenne, Assistance Publique - Hôpitaux de Paris, Bobigny, France
| | - T Billard-Pomares
- Département de Microbiologie Clinique, Centre Hospitalier Universitaire Avicenne, Assistance Publique - Hôpitaux de Paris, Bobigny, France
| | - J-R Zahar
- Infection Control Unit, Université Sorbonne Paris Nord, Centre Hospitalier Universitaire Avicenne, Assistance Publique - Hôpitaux de Paris, Bobigny, France; Département de Microbiologie Clinique, Centre Hospitalier Universitaire Avicenne, Assistance Publique - Hôpitaux de Paris, Bobigny, France; IAME UMR 1137, INSERM, Université Paris-Cité, Paris, France
| | - L Foucault-Fruchard
- Pharmacy Department, Tours University Hospital, Tours, France; UMR 1253, iBrain, Université de Tours, Inserm, Tours, France
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Østergaard AA, Lillebaek T, Petersen I, Fløe A, Bøkan EHW, Hilberg O, Holden IK, Larsen L, Colic A, Wejse C, Ravn P, Nørgård BM, Bjerrum S, Johansen IS. Prevalence estimates of tuberculosis infection in adults in Denmark: a retrospective nationwide register-based cross-sectional study, 2010 to 2018. Euro Surveill 2024; 29:2300590. [PMID: 38516789 PMCID: PMC11063675 DOI: 10.2807/1560-7917.es.2024.29.12.2300590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 01/12/2024] [Indexed: 03/23/2024] Open
Abstract
BackgroundTuberculosis (TB) elimination requires identifying and treating persons with TB infection (TBI).AimWe estimate the prevalence of positive interferon gamma release assay (IGRA) tests (including TB) and TBI (excluding TB) in Denmark based on TBI screening data from patients with inflammatory bowel disease (IBD) or inflammatory rheumatic disease (IRD).MethodsUsing nationwide Danish registries, we included all patients with IBD or IRD with an IGRA test performed between 2010 and 2018. We estimated the prevalence of TBI and positive IGRA with 95% confidence intervals (CI) in adolescents and adults aged 15-64 years after sample weighting adjusting for distortions in the sample from the background population of Denmark for sex, age group and TB incidence rates (IR) in country of birth.ResultsIn 13,574 patients with IBD or IRD, 12,892 IGRA tests (95.0%) were negative, 461 (3.4%) were positive and 221 (1.6%) were indeterminate, resulting in a weighted TBI prevalence of 3.2% (95% CI: 2.9-3.5) and weighted positive IGRA prevalence of 3.8% (95% CI: 3.5-4.2) among adults aged 15-64 years in the background population of Denmark. Unweighted TBI prevalence increased with age and birthplace in countries with a TB IR higher than 10/100,000 population.ConclusionEstimated TBI prevalence is low in Denmark. We estimate that 200,000 persons have TBI and thus are at risk of developing TB. Screening for TBI and preventive treatment, especially in persons born in high TB incidence countries or immunosuppressed, are crucial to reduce the risk of and eliminate TB.
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Affiliation(s)
- Anne Ahrens Østergaard
- Department of Infectious Diseases and Mycobacterial Centre for Research Southern Denmark, MyCRESD, Odense University Hospital, Denmark
- Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark
| | - Troels Lillebaek
- International Reference Laboratory of Mycobacteriology, Statens Serum Institut, Denmark
- Department of Public Health, University of Copenhagen, Denmark
| | - Inge Petersen
- Department of Infectious Diseases and Mycobacterial Centre for Research Southern Denmark, MyCRESD, Odense University Hospital, Denmark
| | - Andreas Fløe
- Department of Respiratory Diseases and Allergy, Aarhus University Hospital, Aarhus, Denmark
| | - Eliza H Worren Bøkan
- Department of Infectious Diseases and Mycobacterial Centre for Research Southern Denmark, MyCRESD, Odense University Hospital, Denmark
| | - Ole Hilberg
- Department of Medicine, Vejle Hospital, Hospital Lillebælt, Vejle, Denmark
| | - Inge K Holden
- Department of Infectious Diseases and Mycobacterial Centre for Research Southern Denmark, MyCRESD, Odense University Hospital, Denmark
- Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark
| | - Lone Larsen
- Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
- Center for Molecular Prediction of Inflammatory Bowel Disease, PREDICT, Department of Clinical Medicine, The Faculty of Medicine, Aalborg University, Denmark
| | - Ada Colic
- Department of Rheumatology, Zealand University Hospital, Køge, Denmark
| | - Christian Wejse
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
- GloHAU, Center for Global Health, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Pernille Ravn
- Section for Infectious Diseases, Department of Medicine, Herlev and Gentofte Hospital, Copenhagen, University of Copenhagen, Gentofte, Denmark
| | - Bente Mertz Nørgård
- Center of Clinical Epidemiology, Odense University Hospital and Research Unit of Clinical Epidemiology, University of Southern Denmark, Odense, Denmark
| | - Stephanie Bjerrum
- Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark
| | - Isik Somuncu Johansen
- Department of Infectious Diseases and Mycobacterial Centre for Research Southern Denmark, MyCRESD, Odense University Hospital, Denmark
- Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark
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Dale K, Globan M, Horan K, Sherry N, Ballard S, Tay EL, Bittmann S, Meagher N, Price DJ, Howden BP, Williamson DA, Denholm J. Whole genome sequencing for tuberculosis in Victoria, Australia: A genomic implementation study from 2017 to 2020. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2022; 28:100556. [PMID: 36034164 PMCID: PMC9405109 DOI: 10.1016/j.lanwpc.2022.100556] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Background Whole genome sequencing (WGS) is increasingly used by tuberculosis (TB) programs to monitor Mycobacterium tuberculosis (Mtb) transmission. We aimed to characterise the molecular epidemiology of TB and Mtb transmission in the low-incidence setting of Victoria, Australia, and assess the utility of WGS. Methods WGS was performed on all first Mtb isolates from TB cases from 2017 to 2020. Potential clusters (≤12 single nucleotide polymorphisms [SNPs]) were investigated for epidemiological links. Transmission events in highly-related (≤5 SNPs) clusters were classified as likely or possible, based on the presence or absence of an epidemiological link, respectively. Case characteristics and transmission settings (as defined by case relationship) were summarised. Poisson regression was used to examine associations with secondary case number. Findings Of 1844 TB cases, 1276 (69.2%) had sequenced isolates, with 182 (14.2%) in 54 highly-related clusters, 2-40 cases in size. Following investigation, 140 cases (11.0% of sequenced) were classified as resulting from likely/possible local-transmission, including 82 (6.4%) for which transmission was likely. Common identified transmission settings were social/religious (26.4%), household (22.9%) and family living in different households (7.1%), but many were uncertain (41.4%). While household transmission featured in many clusters (n = 24), clusters were generally smaller (median = 3 cases) than the fewer that included transmission in social/religious settings (n = 12, median = 7.5 cases). Sputum-smear-positivity was associated with higher secondary case numbers. Interpretation WGS results suggest Mtb transmission commonly occurs outside the household in our low-incidence setting. Further work is required to optimise the use of WGS in public health management of TB. Funding The Victorian Tuberculosis Program receives block funding for activities including case management and contact tracing from the Victorian Department of Health. No specific funding for this report was received by manuscript authors or the Victorian Tuberculosis Program, and the funders had no role in the study design, data collection, data analysis, interpretation or report writing.
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Affiliation(s)
- Katie Dale
- Victorian Tuberculosis Program, Melbourne Health, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Maria Globan
- Victorian Infectious Diseases Reference Laboratory (VIDRL), at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Kristy Horan
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Norelle Sherry
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Susan Ballard
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Ee Laine Tay
- Communicable Disease Epidemiology and Surveillance, Health Protection Branch, Public Health Division, Department of Health, Victoria, Australia
| | - Simone Bittmann
- Victorian Tuberculosis Program, Melbourne Health, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Niamh Meagher
- Department of Infectious Diseases at the Doherty Institute for Infection & Immunity, The University of Melbourne and Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - David J. Price
- Department of Infectious Diseases at the Doherty Institute for Infection & Immunity, The University of Melbourne and Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Benjamin P. Howden
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Microbiology and Immunology, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Deborah A. Williamson
- Victorian Infectious Diseases Reference Laboratory (VIDRL), at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Justin Denholm
- Victorian Tuberculosis Program, Melbourne Health, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Microbiology and Immunology, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
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Laemmle-Ruff I, Graham SM, Williams B, Horyniak D, Majumdar SS, Paxton GA, Soares Caplice LV, Hellard ME, Trauer JM. Detecting Mycobacterium tuberculosis Infection in Children Migrating to Australia. Emerg Infect Dis 2022; 28:1833-1841. [PMID: 35997353 PMCID: PMC9423895 DOI: 10.3201/eid2809.212426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
In 2015, Australia updated premigration screening for tuberculosis (TB) disease in children 2-10 years of age to include testing for infection with Mycobacterium tuberculosis and enable detection of latent TB infection (LTBI). We analyzed TB screening results in children <15 years of age during November 2015-June 2017. We found 45,060 child applicants were tested with interferon-gamma release assay (IGRA) (57.7% of tests) or tuberculin skin test (TST) (42.3% of tests). A total of 21 cases of TB were diagnosed: 4 without IGRA or TST, 10 with positive IGRA or TST, and 7 with negative results. LTBI was detected in 3.3% (1,473/44,709) of children, for 30 applicants screened per LTBI case detected. LTBI-associated factors included increasing age, TB contact, origin from a higher TB prevalence region, and testing by TST. Detection of TB and LTBI benefit children, but the updated screening program's effect on TB in Australia is likely to be limited.
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Ding C, Hu M, Guo W, Hu W, Li X, Wang S, Shangguan Y, Zhang Y, Yang S, Xu K. Prevalence trends of latent tuberculosis infection at the global, regional, and country levels from 1990-2019. Int J Infect Dis 2022; 122:46-62. [PMID: 35577247 DOI: 10.1016/j.ijid.2022.05.029] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/09/2022] [Accepted: 05/10/2022] [Indexed: 10/18/2022] Open
Abstract
OBJECTIVES To track the prevalence trends of latent tuberculosis infection (LTBI) at the global, regional, and national levels. METHODS Data on the prevalence of LTBI were extracted from the Global Burden of Disease database. The average annual percent change (AAPC) was estimated by joinpoint regression and was used to evaluate the epidemic of the disease. RESULTS Globally, the prevalence rate of LTBI decreased from 30.66% in 1990 to 23.67% in 2019, with an AAPC of -0.9%. The prevalence rate of LTBI varied from 5.02% (Jordan) to 48.35% (Uganda) in 1990 and from 2.51% (Jordan) to 43.75% (Vietnam) in 2019 at the country level. The prevalence decreased in all the six World Health Organization (WHO) regions and in most countries, with the AAPC ranging from -0.5% in the Western Pacific Region to -2.1% in the European Region and from -4.3% (Bhutan) to -0.1% (Malaysia, Myanmar, South Africa, Tokelau, and Vietnam), respectively. Disparities were also observed among different sex and age groups. CONCLUSION The prevalence of LTBI decreased slightly worldwide in the last three decades, but the decrease is slow and not sufficient to meet the targets of WHO tuberculosis elimination. Much more effort and progress should be made in order to decrease the prevalence of LTBI.
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Affiliation(s)
- Cheng Ding
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Ming Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Wanru Guo
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Wenjuan Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Xiaomeng Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Shuting Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Yanwan Shangguan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Ying Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China.
| | - Shigui Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China.
| | - Kaijin Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China.
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6
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Dale KD, Abayawardana MJ, McBryde ES, Trauer JM, Carvalho N. Modeling the Cost-Effectiveness of Latent Tuberculosis Screening and Treatment Strategies in Recent Migrants to a Low-Incidence Setting. Am J Epidemiol 2022; 191:255-270. [PMID: 34017976 DOI: 10.1093/aje/kwab150] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 05/02/2021] [Accepted: 05/13/2021] [Indexed: 11/12/2022] Open
Abstract
Many tuberculosis (TB) cases in low-incidence settings are attributed to reactivation of latent TB infection (LTBI) acquired overseas. We assessed the cost-effectiveness of community-based LTBI screening and treatment strategies in recent migrants to a low-incidence setting (Australia). A decision-analytical Markov model was developed that cycled 1 migrant cohort (≥11-year-olds) annually over a lifetime from 2020. Postmigration/onshore and offshore (screening during visa application) strategies were compared with existing policy (chest x-ray during visa application). Outcomes included TB cases averted and discounted cost per quality-adjusted life-year (QALY) gained from a health-sector perspective. Most recent migrants are young adults and cost-effectiveness is limited by their relatively low LTBI prevalence, low TB mortality risks, and high emigration probability. Onshore strategies cost at least $203,188 (Australian) per QALY gained, preventing approximately 2.3%-7.0% of TB cases in the cohort. Offshore strategies (screening costs incurred by migrants) cost at least $13,907 per QALY gained, preventing 5.5%-16.9% of cases. Findings were most sensitive to the LTBI treatment quality-of-life decrement (further to severe adverse events); with a minimal decrement, all strategies caused more ill health than they prevented. Additional LTBI strategies in recent migrants could only marginally contribute to TB elimination and are unlikely to be cost-effective unless screening costs are borne by migrants and potential LTBI treatment quality-of-life decrements are ignored.
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Putsathit P, Hong S, George N, Hemphill C, Huntington PG, Korman TM, Kotsanas D, Lahra M, McDougall R, McGlinchey A, Moore CV, Nimmo GR, Prendergast L, Robson J, Waring L, Wehrhahn MC, Weldhagen GF, Wilson RM, Riley TV, Knight DR. Antimicrobial resistance surveillance of Clostridioides difficile in Australia, 2015-18. J Antimicrob Chemother 2021; 76:1815-1821. [PMID: 33895826 DOI: 10.1093/jac/dkab099] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 03/05/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Clostridioides difficile was listed as an urgent antimicrobial resistance (AMR) threat in a report by the CDC in 2019. AMR drives the evolution of C. difficile and facilitates its emergence and spread. The C. difficile Antimicrobial Resistance Surveillance (CDARS) study is nationwide longitudinal surveillance of C. difficile infection (CDI) in Australia. OBJECTIVES To determine the antimicrobial susceptibility of C. difficile isolated in Australia between 2015 and 2018. METHODS A total of 1091 strains of C. difficile were collected over a 3 year period by a network of 10 diagnostic microbiology laboratories in five Australian states. These strains were tested for their susceptibility to nine antimicrobials using the CLSI agar incorporation method. RESULTS All strains were susceptible to metronidazole, fidaxomicin, rifaximin and amoxicillin/clavulanate and low numbers of resistant strains were observed for meropenem (0.1%; 1/1091), moxifloxacin (3.5%; 38/1091) and vancomycin (5.7%; 62/1091). Resistance to clindamycin was common (85.2%; 929/1091), followed by resistance to ceftriaxone (18.8%; 205/1091). The in vitro activity of fidaxomicin [geometric mean MIC (GM) = 0.101 mg/L] was superior to that of vancomycin (1.700 mg/L) and metronidazole (0.229 mg/L). The prevalence of MDR C. difficile, as defined by resistance to ≥3 antimicrobial classes, was low (1.7%; 19/1091). CONCLUSIONS The majority of C. difficile isolated in Australia did not show reduced susceptibility to antimicrobials recommended for treatment of CDI (vancomycin, metronidazole and fidaxomicin). Resistance to carbapenems and fluoroquinolones was low and MDR was uncommon; however, clindamycin resistance was frequent. One fluoroquinolone-resistant ribotype 027 strain was detected.
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Affiliation(s)
- Papanin Putsathit
- School of Medical and Health Sciences, Edith Cowan University, Joondalup 6027, WA, Australia
| | - Stacey Hong
- Marshall Centre for Infectious Diseases Research and Training, School of Biomedical Sciences, The University of Western Australia, Queen Elizabeth II Medical Centre, Nedlands 6009, WA, Australia.,Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch 6150, WA, Australia
| | - Narelle George
- Pathology Queensland, Royal Brisbane and Women's Hospital, Herston 4029, QLD, Australia
| | | | - Peter G Huntington
- Department of Microbiology, NSW Health Pathology, Royal North Shore Hospital, St Leonards, 2065, NSW, Australia
| | - Tony M Korman
- Monash Infectious Diseases, Monash Health, Monash Medical Centre, Clayton 3168, VIC, Australia
| | - Despina Kotsanas
- Monash Infectious Diseases, Monash Health, Monash Medical Centre, Clayton 3168, VIC, Australia
| | - Monica Lahra
- Department of Microbiology, The Prince of Wales Hospital, Randwick 2031, NSW, Australia
| | | | | | - Casey V Moore
- Microbiology and Infectious Diseases Laboratories, SA Pathology, Adelaide 5000, SA, Australia
| | - Graeme R Nimmo
- Pathology Queensland, Royal Brisbane and Women's Hospital, Herston 4029, QLD, Australia
| | | | | | | | | | - Gerhard F Weldhagen
- Microbiology and Infectious Diseases Laboratories, SA Pathology, Adelaide 5000, SA, Australia
| | - Richard M Wilson
- Australian Clinical Labs, Microbiology Department, Wayville 5034, SA, Australia
| | - Thomas V Riley
- School of Medical and Health Sciences, Edith Cowan University, Joondalup 6027, WA, Australia.,Marshall Centre for Infectious Diseases Research and Training, School of Biomedical Sciences, The University of Western Australia, Queen Elizabeth II Medical Centre, Nedlands 6009, WA, Australia.,Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch 6150, WA, Australia.,Department of Microbiology, PathWest Laboratory Medicine, Queen Elizabeth II Medical Centre, Nedlands 6009, WA, Australia
| | - Daniel R Knight
- Marshall Centre for Infectious Diseases Research and Training, School of Biomedical Sciences, The University of Western Australia, Queen Elizabeth II Medical Centre, Nedlands 6009, WA, Australia.,Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch 6150, WA, Australia
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8
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Moyo N, Tay EL, Nolan A, Graham HR, Graham SM, Denholm JT. TB contact tracing for young children: an Australian cascade of care review. Public Health Action 2021; 11:91-96. [PMID: 34159069 DOI: 10.5588/pha.20.0086] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 04/01/2021] [Indexed: 01/04/2023] Open
Abstract
OBJECTIVE To evaluate care cascades for programmatic active case finding and latent TB infection (LTBI) management in young child TB contacts (aged <5 years) in Victoria, Australia. DESIGN This was a retrospective review of public health surveillance data to identify contacts of all pulmonary TB cases notified from 2016 to 2019. RESULTS Contact tracing identified 574 young child contacts of 251 pulmonary TB cases. Active TB was found in 28 (4.9%) contacts, none of whom had previously received bacille Calmette-Guérin vaccination, and 529 were tested for TB infection using the tuberculin skin test (TST). The overall TST positivity was 15.3% (95% CI 0.1-0.2). Among the 574 children, 150 (26.1%) were close contacts of sputum smear-positive cases and 25 (16.7%) of these were not referred to TB clinics. Of the 125 referred, 81 were considered to have LTBI, 79 agreed to commence TB preventive treatment (TPT) and 71 (89.9%) completed TPT. Following completion of TPT, no child was subsequently diagnosed with active TB. CONCLUSION There was a high yield from active case finding and uptake of TPT. Notable losses in the cascade of care occurred around referral to tertiary clinics, but high treatment completion rates and good outcomes were found in those prescribed treatment.
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Affiliation(s)
- N Moyo
- Victorian Tuberculosis Program, Melbourne Health, Melbourne, VIC, Australia.,School of Nursing and Midwifery, La Trobe University, Bundoora, VIC, Australia
| | - E L Tay
- Health Protection Branch, Department of Health and Human Services, Melbourne, VIC, Australia
| | - A Nolan
- Victorian Tuberculosis Program, Melbourne Health, Melbourne, VIC, Australia
| | - H R Graham
- Department of General Medicine, Royal Children's Hospital, Parkville, VIC, Australia.,Centre for International Child Health, University of Melbourne Department of Paediatrics and Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia
| | - S M Graham
- Centre for International Child Health, University of Melbourne Department of Paediatrics and Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia.,Department of Respiratory Medicine, Royal Children's Hospital, Parkville, VIC, Australia
| | - J T Denholm
- Victorian Tuberculosis Program, Melbourne Health, Melbourne, VIC, Australia.,Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC, Australia
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Chapman NG, Dalton SC, Hore TA. Hepatobiliary tuberculosis: a notorious mimic to be considered within the differential diagnosis of cholangiocarcinoma. ANZ J Surg 2021; 91:E706-E707. [PMID: 33764616 DOI: 10.1111/ans.16752] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 03/08/2021] [Indexed: 12/27/2022]
Affiliation(s)
- Nicholas G Chapman
- Department of General Surgery, Christchurch Hospital, Canterbury District Health Board, Christchurch, New Zealand
| | - Simon C Dalton
- Department of Infectious Diseases, Christchurch Hospital, Canterbury District Health Board, Christchurch, New Zealand
| | - Todd A Hore
- Department of General Surgery, Christchurch Hospital, Canterbury District Health Board, Christchurch, New Zealand
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10
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Reynolds G, Haeusler G, Slavin MA, Teh B, Thursky K. Latent infection screening and prevalence in cancer patients born outside of Australia: a universal versus risk-based approach? Support Care Cancer 2021; 29:6193-6200. [PMID: 33763725 DOI: 10.1007/s00520-021-06116-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 02/26/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE Contention surrounds how best to screen patients for latent and undiagnosed infection prior to cancer treatment. Early treatment and prophylaxis against reactivation may improve infection-associated morbidity. This study sought to examine rates of screening and prevalence of latent infection in overseas-born patients receiving cancer therapies. METHODS A single-centre retrospective audit of 952 overseas-born patients receiving chemotherapy, targeted agents and immunotherapy between January 1 and December 31 2019 was undertaken at Peter MacCallum Cancer Centre. Pre-treatment screening for hepatitis B (HBV), hepatitis C (HCV), human immunodeficiency virus (HIV), latent tuberculosis (LTBI), toxoplasmosis and strongyloidiasis was audited. RESULTS Approximately half of our overseas-born patients were screened for HBV (58.9%) and HCV (50.7%). Fewer patients were screened for HIV (30.5%), LTBI (18.3%), strongyloidiasis (8.6%) or toxoplasmosis (8.1%). Although 59.7% of our patients were born in countries with high epidemiological risk for latent infection, according to World Health Organization data, 35% were not screened for any infection prior to commencement of therapy. CONCLUSION The prevalence of latent infections amongst overseas-born patients with cancer, and complexities associated with risk-based screening, likely supports universal latent infection screening amongst this higher-risk cohort.
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Affiliation(s)
- Gemma Reynolds
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, Victoria, 3000, Australia.
| | - Gabrielle Haeusler
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, Victoria, 3000, Australia
- Department of Infectious Diseases, Royal Children's Hospital, Melbourne, Victoria, Australia
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Monica A Slavin
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, Victoria, 3000, Australia
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Benjamin Teh
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, Victoria, 3000, Australia
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Karin Thursky
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, Victoria, 3000, Australia
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
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11
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Dale KD, Trauer JM, Dodd PJ, Houben RMGJ, Denholm JT. Estimating Long-term Tuberculosis Reactivation Rates in Australian Migrants. Clin Infect Dis 2021; 70:2111-2118. [PMID: 31246254 DOI: 10.1093/cid/ciz569] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 06/25/2019] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND The risk of progression to tuberculosis (TB) disease is greatest soon after infection, yet disease may occur many years or decades later. However, rates of TB reactivation long after infection remain poorly quantified. Australia has a low incidence of TB and most cases occur among migrants. We explored how TB rates in Australian migrants varied with time from migration, age, and gender. METHODS We combined TB notifications in census years 2006, 2011, and 2016 with time- and country-specific estimates of latent TB prevalences in migrant cohorts to quantify postmigration reactivation rates. RESULTS During the census years, 3246 TB cases occurred among an estimated 2 084 000 migrants with latent TB. There were consistent trends in postmigration reactivation rates, which appeared to be dependent on both time from migration and age. Rates were lower in cohorts with increasing time, until at least 20 years from migration, and on this background there also appeared to be increasing rates during youth (15-24 years of age) and in those aged 70 years and above. Within 5 years of migration, annual reactivation rates were approximately 400 per 100 000 (uncertainty interval [UI] 320-480), dropping to 170 (UI 130-220) from 5 to 10 years and 110 (UI 70-160) from 10 to 20 years, then sustaining at 60-70 per 100 000 up to 60 years from migration. Rates varied depending on age at migration. CONCLUSIONS Postmigration reactivation rates appeared to show dependency on both time from migration and age. This approach to quantifying reactivation risks will enable evaluations of the potential impacts of TB control and elimination strategies.
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Affiliation(s)
- Katie D Dale
- Victorian Tuberculosis Program, Melbourne Health, Victoria, Australia
| | - James M Trauer
- Victorian Tuberculosis Program, Melbourne Health, Victoria, Australia.,School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Peter J Dodd
- School of Health and Related Research, University of Sheffield, United Kingdom
| | - Rein M G J Houben
- Tuberculosis Modelling Group, Tuberculosis Centre, London School of Hygiene and Tropical Medicine, United Kingdom.,Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, United Kingdom
| | - Justin T Denholm
- Victorian Tuberculosis Program, Melbourne Health, Victoria, Australia.,Department of Microbiology and Immunology, The University of Melbourne, Victoria, Australia
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12
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Cohen A, Mathiasen VD, Schön T, Wejse C. The global prevalence of latent tuberculosis: a systematic review and meta-analysis. Eur Respir J 2019; 54:13993003.00655-2019. [PMID: 31221810 DOI: 10.1183/13993003.00655-2019] [Citation(s) in RCA: 295] [Impact Index Per Article: 49.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 06/11/2019] [Indexed: 12/18/2022]
Abstract
In 1999, the World Health Organization (WHO) estimated that one-third of the world's population had latent tuberculosis infection (LTBI), which was recently updated to one-fourth. However, this is still based on controversial assumptions in combination with tuberculin skin test (TST) surveys. Interferon-γ release assays (IGRAs) with a higher specificity than TST have since been widely implemented, but never used to estimate the global LTBI prevalence.We conducted a systematic review and meta-analysis of LTBI estimates based on both IGRA and TST results published between 2005 and 2018. Regional and global estimates of LTBI prevalence were calculated. Stratification was performed for low, intermediate and high TB incidence countries and a pooled estimate for each area was calculated using a random effects model.Among 3280 studies screened, we included 88 studies from 36 countries with 41 IGRA (n=67 167) and 67 TST estimates (n=284 644). The global prevalence of LTBI was 24.8% (95% CI 19.7-30.0%) and 21.2% (95% CI 17.9-24.4%), based on IGRA and a 10-mm TST cut-off, respectively. The prevalence estimates correlated well to WHO incidence rates (Rs=0.70, p<0.001).In the first study of the global prevalence of LTBI derived from both IGRA and TST surveys, we found that one-fourth of the world's population is infected. This is of relevance, as both tests, although imperfect, are used to identify individuals eligible for preventive therapy. Enhanced efforts are needed targeting the large pool of latently infected individuals, as this constitutes an enormous source of potential active tuberculosis.
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Affiliation(s)
- Adam Cohen
- Dept of Pathology, St Olavs Hospital, Trondheim, Norway.,Both authors contributed equally
| | - Victor Dahl Mathiasen
- International Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark.,Dept of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.,Both authors contributed equally
| | - Thomas Schön
- Division of Microbiology and Molecular Medicine, Dept of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.,Dept of Clinical Microbiology and Infectious Diseases, Kalmar County Hospital, Kalmar, Linköping University, Linköping, Sweden
| | - Christian Wejse
- Dept of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark .,Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau.,Center for Global Health, Aarhus University (GloHAU), Aarhus, Denmark
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