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Tuamsuwan K, Chamawan P, Boonyarit P, Srisuphan V, Klaytong P, Rangsiwutisak C, Wannapinij P, Fongthong T, Stelling J, Turner P, Limmathurotsakul D. Frequency of antimicrobial-resistant bloodstream infections in 111 hospitals in Thailand, 2022. J Infect 2024; 89:106249. [PMID: 39173918 DOI: 10.1016/j.jinf.2024.106249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 08/11/2024] [Accepted: 08/12/2024] [Indexed: 08/24/2024]
Abstract
OBJECTIVES To evaluate the frequency of antimicrobial-resistant bloodstream infections (AMR BSI) in Thailand. METHODS We analyzed data from 2022, generated by 111 public hospitals in health regions 1 to 12, using the AutoMated tool for Antimicrobial resistance Surveillance System (AMASS), and submitted to the Ministry of Public Health, Thailand. Multilevel Poisson regression models were used. RESULTS The most common cause of community-origin AMR BSI was third-generation cephalosporin-resistant Escherichia coli (3GCREC, 65.6%; 5101/7773 patients) and of hospital-origin AMR BSI was carbapenem-resistant Acinetobacter baumannii (CRAB, 51.2%, 4968/9747 patients). The percentage of patients tested for BSI was negatively associated with the frequency of community-origin 3GCREC BSI and hospital-origin CRAB BSI (per 100,000 tested patients). Hospitals in health regions 4 (lower central region) had the highest frequency of community-origin 3GCREC BSI (adjusted incidence rate ratio, 2.06; 95% confidence interval: 1.52-2.97). Health regions were not associated with the frequency of hospital-origin CRAB BSI, and between-hospital variation was high, even adjusting for hospital level and size. CONCLUSION The high between-hospital variation of hospital-origin CRAB BSI suggests the importance of hospital-specific factors. Our approach and findings highlight health regions and hospitals where actions against AMR infection, including antimicrobial stewardship and infection control, should be prioritized.
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Affiliation(s)
- Krittiya Tuamsuwan
- The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi, Thailand
| | - Panida Chamawan
- The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi, Thailand
| | - Phairam Boonyarit
- The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi, Thailand
| | - Voranadda Srisuphan
- The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi, Thailand
| | - Preeyarach Klaytong
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Chalida Rangsiwutisak
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Prapass Wannapinij
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Trithep Fongthong
- The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi, Thailand
| | - John Stelling
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Paul Turner
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Cambodia-Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Direk Limmathurotsakul
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom; Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
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Lim C, Klaytong P, Hantrakun V, Rangsiwutisak C, Phiancharoen C, Tangwangvivat R, Kripattanapong S, Jitpeera C, Poldech W, Jiramahasan P, Laosatiankit B, Photivet O, Sukbut P, Thongsri W, Kosasaeng K, Chiwehanyon B, Leesahud N, Ritthong P, Linreung W, Aramrueang P, Bhunyakitikorn W, Iamsirithaworn S, Limmathurotsakul D. Automating the Generation of Notifiable Bacterial Disease Reports: Proof-of-Concept Study and Implementation in Six Hospitals in Thailand. Am J Trop Med Hyg 2024; 111:151-155. [PMID: 38806021 PMCID: PMC11229635 DOI: 10.4269/ajtmh.23-0848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/23/2024] [Indexed: 05/30/2024] Open
Abstract
Information on notifiable bacterial diseases (NBD) in low- and middle-income countries (LMICs) is frequently incomplete. We developed the AutoMated tool for the Antimicrobial resistance Surveillance System plus (AMASSplus), which can support hospitals to analyze their microbiology and hospital data files automatically (in CSV or Excel format) and promptly generate antimicrobial resistance surveillance and NBD reports (in PDF and CSV formats). The NBD reports included the total number of cases and deaths after Brucella spp., Burkholderia pseudomallei, Corynebacterium diphtheriae, Neisseria gonorrhoeae, Neisseria meningitidis, nontyphoidal Salmonella spp., Salmonella enterica serovar Paratyphi, Salmonella enterica serovar Typhi, Shigella spp., Streptococcus suis, and Vibrio spp. infections. We tested the tool in six hospitals in Thailand in 2022. The total number of deaths identified by the AMASSplus was higher than those reported to the national notifiable disease surveillance system (NNDSS); particularly for B. pseudomallei infection (134 versus 2 deaths). This tool could support the NNDSS in LMICs.
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Affiliation(s)
- Cherry Lim
- Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Preeyarach Klaytong
- Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Viriya Hantrakun
- Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Chalida Rangsiwutisak
- Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Chadaporn Phiancharoen
- Division of Communicable Diseases, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Ratanaporn Tangwangvivat
- Division of Communicable Diseases, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Somkid Kripattanapong
- Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Charuttaporn Jitpeera
- Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | | | | | | | | | | | | | | | | | | | | | | | | | - Wichan Bhunyakitikorn
- Division of Communicable Diseases, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Sopon Iamsirithaworn
- Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Direk Limmathurotsakul
- Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
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Lim C, Hantrakun V, Klaytong P, Rangsiwutisak C, Tangwangvivat R, Phiancharoen C, Doung-ngern P, Kripattanapong S, Hinjoy S, Yingyong T, Rojanawiwat A, Unahalekhaka A, Kamjumphol W, Khobanan K, Leethongdee P, Lorchirachoonkul N, Khusuwan S, Siriboon S, Chamnan P, Vijitleela A, Fongthong T, Noiprapai K, Boonyarit P, Srisuphan V, Sartorius B, Stelling J, Turner P, Day NPJ, Limmathurotsakul D. Frequency and mortality rate following antimicrobial-resistant bloodstream infections in tertiary-care hospitals compared with secondary-care hospitals. PLoS One 2024; 19:e0303132. [PMID: 38768224 PMCID: PMC11104583 DOI: 10.1371/journal.pone.0303132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 04/20/2024] [Indexed: 05/22/2024] Open
Abstract
There are few studies comparing proportion, frequency, mortality and mortality rate following antimicrobial-resistant (AMR) infections between tertiary-care hospitals (TCHs) and secondary-care hospitals (SCHs) in low and middle-income countries (LMICs) to inform intervention strategies. The aim of this study is to demonstrate the utility of an offline tool to generate AMR reports and data for a secondary data analysis. We conducted a secondary-data analysis on a retrospective, multicentre data of hospitalised patients in Thailand. Routinely collected microbiology and hospital admission data of 2012 to 2015, from 15 TCHs and 34 SCHs were analysed using the AMASS v2.0 (www.amass.website). We then compared the burden of AMR bloodstream infections (BSI) between those TCHs and SCHs. Of 19,665 patients with AMR BSI caused by pathogens under evaluation, 10,858 (55.2%) and 8,807 (44.8%) were classified as community-origin and hospital-origin BSI, respectively. The burden of AMR BSI was considerably different between TCHs and SCHs, particularly of hospital-origin AMR BSI. The frequencies of hospital-origin AMR BSI per 100,000 patient-days at risk in TCHs were about twice that in SCHs for most pathogens under evaluation (for carbapenem-resistant Acinetobacter baumannii [CRAB]: 18.6 vs. 7.0, incidence rate ratio 2.77; 95%CI 1.72-4.43, p<0.001; for carbapenem-resistant Pseudomonas aeruginosa [CRPA]: 3.8 vs. 2.0, p = 0.0073; third-generation cephalosporin resistant Escherichia coli [3GCREC]: 12.1 vs. 7.0, p<0.001; third-generation cephalosporin resistant Klebsiella pneumoniae [3GCRKP]: 12.2 vs. 5.4, p<0.001; carbapenem-resistant K. pneumoniae [CRKP]: 1.6 vs. 0.7, p = 0.045; and methicillin-resistant Staphylococcus aureus [MRSA]: 5.1 vs. 2.5, p = 0.0091). All-cause in-hospital mortality (%) following hospital-origin AMR BSI was not significantly different between TCHs and SCHs (all p>0.20). Due to the higher frequencies, all-cause in-hospital mortality rates following hospital-origin AMR BSI per 100,000 patient-days at risk were considerably higher in TCHs for most pathogens (for CRAB: 10.2 vs. 3.6,mortality rate ratio 2.77; 95%CI 1.71 to 4.48, p<0.001; CRPA: 1.6 vs. 0.8; p = 0.020; 3GCREC: 4.0 vs. 2.4, p = 0.009; 3GCRKP, 4.0 vs. 1.8, p<0.001; CRKP: 0.8 vs. 0.3, p = 0.042; and MRSA: 2.3 vs. 1.1, p = 0.023). In conclusion, the burden of AMR infections in some LMICs might differ by hospital type and size. In those countries, activities and resources for antimicrobial stewardship and infection control programs might need to be tailored based on hospital setting. The frequency and in-hospital mortality rate of hospital-origin AMR BSI are important indicators and should be routinely measured to monitor the burden of AMR in every hospital with microbiology laboratories in LMICs.
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Affiliation(s)
- Cherry Lim
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
| | - Viriya Hantrakun
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Preeyarach Klaytong
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Chalida Rangsiwutisak
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | | | | | - Pawinee Doung-ngern
- Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | | | - Soawapak Hinjoy
- Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Thitipong Yingyong
- Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | | | | | | | - Kulsumpun Khobanan
- Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand
| | - Pimrata Leethongdee
- Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand
| | | | - Suwimon Khusuwan
- Department of Medicine, Chiangrai Prachanukroh Hospital, Chiang Rai, Thailand
| | - Suwatthiya Siriboon
- Department of Medicine, Sunpasitthiprasong Hospital, Ubon Ratchathani, Thailand
| | - Parinya Chamnan
- Department of Social Medicine, Sunpasitthiprasong Hospital, Ubon Ratchathani, Thailand
| | - Amornrat Vijitleela
- Department of Medical Services, Ministry of Public Health, Nonthaburi, Thailand
- National Health Security Office, Nakhonsawan, Thailand
| | - Traithep Fongthong
- The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi, Thailand
| | - Krittiya Noiprapai
- The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi, Thailand
| | - Phairam Boonyarit
- The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi, Thailand
| | - Voranadda Srisuphan
- The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi, Thailand
| | - Benn Sartorius
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
- Centre for Clinical Research (UQCCR), School of Medicine, University of Queensland, Brisbane, Australia
- Department of Health Metric Sciences, Faculty of Medicine, University of Washington, Seattle, WA, United States of America
| | - John Stelling
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Paul Turner
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
- Cambodia-Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
| | - Nicholas P. J. Day
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
| | - Direk Limmathurotsakul
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
- Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
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Fwoloshi S, Chola U, Nakazwe R, Tatila T, Mateele T, Kabaso M, Muzyamba T, Mutwale I, Jones ASC, Islam J, Chikatula E, Mweemba A, Mbewe W, Mulenga L, Aiken AM, Anitha Menon J, Bailey SL, Knight GM. Why local antibiotic resistance data matters - Informing empiric prescribing through local data collation, app design and engagement in Zambia. J Infect Public Health 2023; 16 Suppl 1:69-77. [PMID: 37980241 DOI: 10.1016/j.jiph.2023.11.007] [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: 09/30/2023] [Revised: 11/03/2023] [Accepted: 11/03/2023] [Indexed: 11/20/2023] Open
Abstract
BACKGROUND Control of antimicrobial resistance (AMR) relies on local knowledge and local intervention implementation. Effective antibiotic stewardship requires locally-suitable prescribing guidelines. We aimed to use a novel digital tool (the ZARIApp) and a participatory approach to help develop locally-relevant empiric antibiotic prescribing guidelines for two hospitals in Lusaka, Zambia. METHODS We produced an AMR report using samples collected locally and routinely from adults within the prior two years (April 2020 - April 2022). We developed the ZARIApp, which provides prescribing recommendations based on local resistance data and antibiotic prescribing practices. We used qualitative evaluation of focus group discussions among healthcare professionals to assess the feasibility and acceptability of using the ZARIApp and identify the barriers to and enablers of this stewardship approach. RESULTS Resistance prevalence was high for many key pathogens: for example, 73% of 41 Escherichia coli isolates were resistant to ceftriaxone. We identified that high resistance rates were likely due to low levels of requesting and processing of microbiology samples from patients leading to insufficient and unrepresentative microbiology data. This emerged as the major barrier to generating locally-relevant guidelines. Through active stakeholder engagement, we modified the ZARIApp to better support users to generate empirical antibiotic guidelines within this context of unrepresentative microbiology data. Qualitative evaluation of focus group discussions suggested that the resulting ZARIApp was useful and easy to use. New antibiotic guidelines for key syndromes are now in place in the two study hospitals, but these have substantial residual uncertainty. CONCLUSIONS Tools such as the free online ZARIApp can empower local settings to better understand and optimise how sampling and prescribing can help to improve patient care and reduce future AMR. However, the usability of the ZARIApp is severely limited by unrepresentative microbiology data; improved routine microbiology surveillance is vitally needed.
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Affiliation(s)
| | | | | | | | - Tebuho Mateele
- Levy Mwanawasa University Teaching Hospital, Lusaka, Zambia
| | - Mwewa Kabaso
- Levy Mwanawasa University Teaching Hospital, Lusaka, Zambia
| | | | | | | | - Jasmin Islam
- Brighton Lusaka Health Link, Brighton, United Kingdom
| | | | - Aggrey Mweemba
- Levy Mwanawasa University Teaching Hospital, Lusaka, Zambia
| | | | | | - Alexander M Aiken
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Sarah Lou Bailey
- Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
| | - Gwenan M Knight
- London School of Hygiene and Tropical Medicine, London, United Kingdom
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Mukherjee AS, Sahay S. Systems thinking based approaches to engage with health inequities shaping Antimicrobial Resistance in low and lower-middle-income countries. J Infect Public Health 2023; 16 Suppl 1:129-133. [PMID: 37977980 DOI: 10.1016/j.jiph.2023.11.008] [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: 10/08/2023] [Revised: 11/01/2023] [Accepted: 11/03/2023] [Indexed: 11/19/2023] Open
Abstract
This paper argues for 'systems thinking' as a conceptual framework to address antimicrobial resistance, especially focusing on the context of low and lower middle-income countries (LLMICs), which are plagued with health inequities that magnify the AMR threat. Systems thinking provides two avenues to enhance these mitigation efforts: i) it helps go beyond a purely biomedical approach to incorporate considerations of the social and informational; ii) particularly relevant as is it helps to understand the role of health inequities in shaping AMR related prevention and care processes.
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Affiliation(s)
- Arunima S Mukherjee
- SUSTAINIT - Unit for sustainable health, Faculty of Medicine, University of Oslo, Norway; HISP India, India.
| | - Sundeep Sahay
- HISP India, India; Department of Informatics, University of Oslo, Norway
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Murless-Collins S, Kawaza K, Salim N, Molyneux EM, Chiume M, Aluvaala J, Macharia WM, Ezeaka VC, Odedere O, Shamba D, Tillya R, Penzias RE, Ezenwa BN, Ohuma EO, Cross JH, Lawn JE. Blood culture versus antibiotic use for neonatal inpatients in 61 hospitals implementing with the NEST360 Alliance in Kenya, Malawi, Nigeria, and Tanzania: a cross-sectional study. BMC Pediatr 2023; 23:568. [PMID: 37968606 PMCID: PMC10652421 DOI: 10.1186/s12887-023-04343-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 10/02/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Thirty million small and sick newborns worldwide require inpatient care each year. Many receive antibiotics for clinically diagnosed infections without blood cultures, the current 'gold standard' for neonatal infection detection. Low neonatal blood culture use hampers appropriate antibiotic use, fuelling antimicrobial resistance (AMR) which threatens newborn survival. This study analysed the gap between blood culture use and antibiotic prescribing in hospitals implementing with Newborn Essential Solutions and Technologies (NEST360) in Kenya, Malawi, Nigeria, and Tanzania. METHODS Inpatient data from every newborn admission record (July 2019-August 2022) were included to describe hospital-level blood culture use and antibiotic prescription. Health Facility Assessment data informed performance categorisation of hospitals into four tiers: (Tier 1) no laboratory, (Tier 2) laboratory but no microbiology, (Tier 3) neonatal blood culture use < 50% of newborns receiving antibiotics, and (Tier 4) neonatal blood culture use > 50%. RESULTS A total of 144,146 newborn records from 61 hospitals were analysed. Mean hospital antibiotic prescription was 70% (range = 25-100%), with 6% mean blood culture use (range = 0-56%). Of the 10,575 blood cultures performed, only 24% (95%CI 23-25) had results, with 10% (10-11) positivity. Overall, 40% (24/61) of hospitals performed no blood cultures for newborns. No hospitals were categorised as Tier 1 because all had laboratories. Of Tier 2 hospitals, 87% (20/23) were District hospitals. Most hospitals could do blood cultures (38/61), yet the majority were categorised as Tier 3 (36/61). Only two hospitals performed > 50% blood cultures for newborns on antibiotics (Tier 4). CONCLUSIONS The two Tier 4 hospitals, with higher use of blood cultures for newborns, underline potential for higher blood culture coverage in other similar hospitals. Understanding why these hospitals are positive outliers requires more research into local barriers and enablers to performing blood cultures. Tier 3 facilities are missing opportunities for infection detection, and quality improvement strategies in neonatal units could increase coverage rapidly. Tier 2 facilities could close coverage gaps, but further laboratory strengthening is required. Closing this culture gap is doable and a priority for advancing locally-driven antibiotic stewardship programmes, preventing AMR, and reducing infection-related newborn deaths.
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Affiliation(s)
- Sarah Murless-Collins
- Maternal, Adolescent, Reproductive, & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
| | - Kondwani Kawaza
- Department of Paediatrics, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Nahya Salim
- Department of Paediatrics and Child Health, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania
| | - Elizabeth M Molyneux
- Department of Paediatrics, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Msandeni Chiume
- Department of Paediatrics, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Jalemba Aluvaala
- KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Department of Paediatrics, University of Nairobi, Nairobi, Kenya
| | | | | | - Opeyemi Odedere
- Rice360 Institute for Global Health Technologies, Rice University, Texas, USA
| | - Donat Shamba
- Department of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar Es Salaam, Tanzania
| | - Robert Tillya
- Department of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar Es Salaam, Tanzania
| | - Rebecca E Penzias
- Maternal, Adolescent, Reproductive, & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK
| | | | - Eric O Ohuma
- Maternal, Adolescent, Reproductive, & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK
| | - James H Cross
- Maternal, Adolescent, Reproductive, & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK
| | - Joy E Lawn
- Maternal, Adolescent, Reproductive, & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK
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Srisuphan V, Klaytong P, Rangsiwutisak C, Tuamsuwan K, Boonyarit P, Limmathurotsakul D. Local and timely antimicrobial resistance data for local and national actions: the early implementation of an automated tool for data analysis at local hospital level in Thailand. JAC Antimicrob Resist 2023; 5:dlad088. [PMID: 37457885 PMCID: PMC10349292 DOI: 10.1093/jacamr/dlad088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/26/2023] [Indexed: 07/18/2023] Open
Abstract
Background In low- and middle-income countries (LMICs), hospitals can rarely utilize their own antimicrobial resistance (AMR) data in a timely manner. Objectives To evaluate the utility of local AMR data generated by an automated tool in the real-world setting. Methods From 16 December 2022 to 10 January 2023, on behalf of the Health Administration Division, Ministry of Public Health (MoPH) Thailand, we trained 26 public tertiary-care and secondary-care hospitals to utilize the AutoMated tool for Antimicrobial resistance Surveillance System (AMASS) with their own microbiology and hospital admission data files via two online meetings, one face-to-face meeting and online support. All meetings were recorded on video, and feedback was analysed. Results Twenty-five hospitals successfully generated and shared the AMR reports with the MoPH by 28 February 2023. In 2022, the median frequency of hospital-origin bloodstream infections (BSIs) caused by carbapenem-resistant Escherichia coli (CREC) was 129 (range 0-1204), by carbapenem-resistant Klebsiella pneumoniae (CRKP) was 1306 (range 0-5432) and by carbapenem-resistant Acinetobacter baumannii (CRAB) was 4472 (range 1460-11 968) per 100 000 patients tested for hospital-origin BSI. The median number of all-cause in-hospital deaths with hospital-origin AMR BSI caused by CREC was 1 (range 0-18), by CRKP was 10 (range 0-77) and by CRAB was 56 (range 7-148). Participating hospitals found that the data obtained could be used to support their antimicrobial stewardship and infection prevention control programmes. Conclusions Local and timely AMR data are crucial for local and national actions. MoPH Thailand is inviting all 127 public tertiary-care and secondary-care hospitals to utilize the AMASS. Using any appropriate analytical software or tools, all hospitals in LMICs that have electronic data records should analyse and utilize their data for immediate actions.
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Affiliation(s)
- Voranadda Srisuphan
- Health Administration Division, The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi 11000, Thailand
| | - Preeyarach Klaytong
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
| | - Chalida Rangsiwutisak
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
| | - Kritiya Tuamsuwan
- Health Administration Division, The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi 11000, Thailand
| | - Phairam Boonyarit
- Health Administration Division, The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi 11000, Thailand
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Adenaike O, Olabanjo OE, Adedeji AA. Integrating computational skills in undergraduate Microbiology curricula in developing countries. Biol Methods Protoc 2023; 8:bpad008. [PMID: 37396465 PMCID: PMC10310463 DOI: 10.1093/biomethods/bpad008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/19/2023] [Accepted: 05/21/2023] [Indexed: 07/04/2023] Open
Abstract
The employability of young graduates has gained increasing significance in the labour market of the 21st century. Universities turn out millions of graduates annually, but at the same time, employers highlight their lack of the requisite skills for sustainable employment. We live today in a world of data, and therefore courses that feature numerical and computational tools to gather and analyse data are to be sourced for and integrated into life sciences' curricula as they provide a number of benefits for both the students and faculty members that are engaged in teaching the courses. The lack of this teaching in undergraduate Microbiology curricula is devastating and leaves a knowledge gap in the graduates that are turned out. This results in an inability of the emerging graduates to compete favourably with their counterparts from other parts of the world. There is a necessity on the part of life science educators to adapt their teaching strategies to best support students' curricula that prepare them for careers in science. Bioinformatics, Statistics and Programming are key computational skills to embrace by life scientists and the need for training beginning at undergraduate level cannot be overemphasized. This article reviews the need to integrate computational skills in undergraduate Microbiology curricula in developing countries with emphasis on Nigeria.
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Affiliation(s)
- Omolara Adenaike
- Correspondence address. Department of Biological Sciences (Microbiology Unit), Oduduwa University, Ipetumodu, Nigeria. Tel: +2348061278100; E-mail:
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Goel V, Mathew S, Gudi N, Jacob A, John O. A scoping review on laboratory surveillance in the WHO Southeast Asia Region: Past, present and the future. J Glob Health 2023; 13:04028. [PMID: 37083001 PMCID: PMC10119808 DOI: 10.7189/jogh.13.04028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023] Open
Abstract
Background The South-East Asia (SEA) region bears a significant proportion of the world's communicable disease burden. The onset of the COVID-19 pandemic has further affected the situation. A well-established laboratory-based surveillance (LBS) can reduce the burden of infectious diseases. In light of this, the review collated the existing literature on LBS system in the region and the modifications adopted by the surveillance systems during the pandemic. Methodology We followed the guidelines for scoping review as prescribed by Arskey and O'Malley. We comprehensively searched three databases (PubMed, Scopus and CINAHL) and supplemented it with grey literature search. The screening of the articles was conducted at the title and abstract followed by full-text screening. This was followed by data extraction using a pre-tested data extraction tool by two independent reviewers. The results were presented narratively. Results Including 75 relevant articles and documents, we compiled a list of surveillance systems. A shift from paper to dual (paper and electronic) modalities was identified across the countries. This largely low- and middle-income countries (LMIC) area face challenges in reporting, resources, and collaboration-related issues. While some countries have well-established National Reference Laboratories; others have more private than public-owned laboratories. Given the COVID-19 pandemic, modifications to the existing laboratory capacities to enable real-time surveillance was identified. Laboratory capacity complemented with genomic surveillance can indubitably aid in disease detection and control. Limitations due to inaccessible government portals, and language barriers are acknowledged. This review identified a comprehensive list of surveillance systems in the region, challenges faced in using these surveillance systems and inform the decision makers about the benefits of integrating fragmented surveillance systems. Conclusion Regionally and nationally integrated genomic and laboratory surveillance systems justify capital investments, as their payoffs rationalise such costs owing to economies of scale over time. Further, as data flows are harmonized and standardized, algorithm- and computing-based pattern recognition methods allow for targeted and accurate disease prediction when integrated with, potentially, climate and weather systems data. Trained human resources are a sine qua non to optimize such investments, but in the medium to long run, such investments will buttress initiatives in other arenas at the regional level.
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Affiliation(s)
- Vidushi Goel
- The George Institute for Global Health, New Delhi, India
| | - Silvy Mathew
- The George Institute for Global Health, New Delhi, India
| | - Nachiket Gudi
- Public Health Evidence South Asia, Department of Health Information, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Anil Jacob
- The George Institute Services, New Delhi, India
| | - Oommen John
- The George Institute for Global Health, New Delhi, India
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Sinto R, Lie KC, Setiati S, Suwarto S, Nelwan EJ, Djumaryo DH, Karyanti MR, Prayitno A, Sumariyono S, Moore CE, Hamers RL, Day NPJ, Limmathurotsakul D. Blood culture utilization and epidemiology of antimicrobial-resistant bloodstream infections before and during the COVID-19 pandemic in the Indonesian national referral hospital. Antimicrob Resist Infect Control 2022; 11:73. [PMID: 35590391 PMCID: PMC9117993 DOI: 10.1186/s13756-022-01114-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 05/11/2022] [Indexed: 11/29/2022] Open
Abstract
Background There is a paucity of data regarding blood culture utilization and antimicrobial-resistant (AMR) infections in low and middle-income countries (LMICs). In addition, there has been a concern for increasing AMR infections among COVID-19 cases in LMICs. Here, we investigated epidemiology of AMR bloodstream infections (BSI) before and during the COVID-19 pandemic in the Indonesian national referral hospital. Methods We evaluated blood culture utilization rate, and proportion and incidence rate of AMR-BSI caused by WHO-defined priority bacteria using routine hospital databases from 2019 to 2020. A patient was classified as a COVID-19 case if their SARS-CoV-2 RT-PCR result was positive. The proportion of resistance was defined as the ratio of the number of patients having a positive blood culture for a WHO global priority resistant pathogen per the total number of patients having a positive blood culture for the given pathogen. Poisson regression models were used to assess changes in rate over time. Results Of 60,228 in-hospital patients, 8,175 had at least one blood culture taken (total 17,819 blood cultures), giving a blood culture utilization rate of 30.6 per 1,000 patient-days. A total of 1,311 patients were COVID-19 cases. Blood culture utilization rate had been increasing before and during the COVID-19 pandemic (both p < 0.001), and was higher among COVID-19 cases than non-COVID-19 cases (43.5 vs. 30.2 per 1,000 patient-days, p < 0.001). The most common pathogens identified were K. pneumoniae (23.3%), Acinetobacter spp. (13.9%) and E. coli (13.1%). The proportion of resistance for each bacterial pathogen was similar between COVID-19 and non-COVID-19 cases (all p > 0.10). Incidence rate of hospital-origin AMR-BSI increased from 130.1 cases per 100,000 patient-days in 2019 to 165.5 in 2020 (incidence rate ratio 1.016 per month, 95%CI:1.016–1.017, p < 0.001), and was not associated with COVID-19 (p = 0.96). Conclusions In our setting, AMR-BSI incidence and etiology were similar between COVID-19 and non-COVID-19 cases. Incidence rates of hospital-origin AMR-BSI increased in 2020, which was likely due to increased blood culture utilization. We recommend increasing blood culture utilization and generating AMR surveillance reports in LMICs to inform local health care providers and policy makers. Supplementary Information The online version contains supplementary material available at 10.1186/s13756-022-01114-x.
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11
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Oberin M, Badger S, Faverjon C, Cameron A, Bannister-Tyrrell M. Electronic information systems for One Health surveillance of antimicrobial resistance: a systematic scoping review. BMJ Glob Health 2022; 7:e007388. [PMID: 34983786 PMCID: PMC8728452 DOI: 10.1136/bmjgh-2021-007388] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 11/24/2021] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION Electronic information systems (EIS) that implement a 'One Health' approach by integrating antimicrobial resistance (AMR) data across the human, animal and environmental health sectors, have been identified as a global priority. However, evidence on the availability, technical capacities and effectiveness of such EIS is scarce. METHODS Through a qualitative synthesis of evidence, this systematic scoping review aims to: identify EIS for AMR surveillance that operate across human, animal and environmental health sectors; describe their technical characteristics and capabilities; and assess whether there is evidence for the effectiveness of the various EIS for AMR surveillance. Studies and reports between 1 January 2000 and 21 July 2021 from peer-reviewed and grey literature in the English language were included. RESULTS 26 studies and reports were included in the final review, of which 27 EIS were described. None of the EIS integrated AMR data in a One Health approach across all three sectors. While there was a lack of evidence of thorough evaluations of the effectiveness of the identified EIS, several surveillance system effectiveness indicators were reported for most EIS. Standardised reporting of the effectiveness of EIS is recommended for future publications. The capabilities of the EIS varied in their technical design features, in terms of usability, data display tools and desired outputs. EIS that included interactive features, and geospatial maps are increasingly relevant for future trends in AMR data analytics. CONCLUSION No EIS for AMR surveillance was identified that was designed to integrate a broad range of AMR data from humans, animals and the environment, representing a major gap in global efforts to implement One Health approaches to address AMR.
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Affiliation(s)
- Madalene Oberin
- Ausvet, Fremantle, Western Australia, Australia
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Skye Badger
- Ausvet, Fremantle, Western Australia, Australia
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12
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Tauran PM, Djaharuddin I, Bahrun U, Nurulita A, Katu S, Muchtar F, Pelupessy NM, Hamers RL, Day NPJ, Arif M, Limmathurotsakul D. Excess mortality attributable to antimicrobial-resistant bacterial bloodstream infection at a tertiary-care hospital in Indonesia. PLOS GLOBAL PUBLIC HEALTH 2022; 2:e0000830. [PMID: 36962470 PMCID: PMC10021607 DOI: 10.1371/journal.pgph.0000830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 06/30/2022] [Indexed: 11/19/2022]
Abstract
The burden of antimicrobial-resistant (AMR) infections in low and middle-income countries (LMICs) is largely unknown. Here, we evaluate attributable mortality of AMR infections in Indonesia. We used routine databases of the microbiology laboratory and hospital admission at Dr. Wahidin Sudirohusodo Hospital, a tertiary-care hospital in South Sulawesi from 2015 to 2018. Of 77,752 hospitalized patients, 8,341 (10.7%) had at least one blood culture taken. Among patients with bacteriologically confirmed bloodstream infections (BSI), the proportions of patients with AMR BSI were 78% (81/104) for third-generation cephalosporin-resistant (3GCR) Escherichia coli, 4% (4/104) for 3GCR plus carbapenem-resistant E. coli, 56% (96/171) for 3GCR Klebsiella pneumoniae, 25% (43/171) for 3GCR plus carbapenem-resistant K. pneumoniae, 51% (124/245) for methicillin-resistant Staphylococcus aureus, 48% (82/171) for carbapenem-resistant Acinetobacter spp., and 19% (13/68) for carbapenem-resistant Pseudomonas aeruginosa. Observed in-hospital mortality of patients with AMR BSI was 49.7% (220/443). Compared with patients with antimicrobial-susceptible BSI and adjusted for potential confounders, the excess mortality attributable to AMR BSI was -0.01 (95% CI: -15.4, 15.4) percentage points. Compared with patients without a BSI with a target pathogen and adjusted for potential confounders, the excess mortality attributable to AMR BSI was 29.7 (95%CI: 26.1, 33.2) percentage points. This suggests that if all the AMR BSI were replaced by no infection, 130 (95%CI: 114, 145) deaths among 443 patients with AMR BSI might have been prevented. In conclusion, the burden of AMR infections in Indonesian hospitals is likely high. Similar large-scale evaluations should be performed across LMICs to inform interventions to mitigate AMR-associated mortality.
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Affiliation(s)
- Patricia M Tauran
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Irawaty Djaharuddin
- Dr. Wahidin Sudirohusodo Hospital, Makassar, South Sulawesi, Indonesia
- Department of Pulmonology and Respiratory Medicine, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia
| | - Uleng Bahrun
- Dr. Wahidin Sudirohusodo Hospital, Makassar, South Sulawesi, Indonesia
- Department of Clinical Pathology, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia
| | - Asvin Nurulita
- Dr. Wahidin Sudirohusodo Hospital, Makassar, South Sulawesi, Indonesia
- Department of Clinical Pathology, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia
| | - Sudirman Katu
- Dr. Wahidin Sudirohusodo Hospital, Makassar, South Sulawesi, Indonesia
- Department of Internal Medicine, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia
| | - Faisal Muchtar
- Dr. Wahidin Sudirohusodo Hospital, Makassar, South Sulawesi, Indonesia
- Department of Anesthesiology, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia
| | - Ninny Meutia Pelupessy
- Dr. Wahidin Sudirohusodo Hospital, Makassar, South Sulawesi, Indonesia
- Department of Pediatrics, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia
| | - Raph L Hamers
- Eijkman-Oxford Clinical Research Unit, Jakarta, Indonesia
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Niholas P J Day
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Mansyur Arif
- Dr. Wahidin Sudirohusodo Hospital, Makassar, South Sulawesi, Indonesia
- Department of Clinical Pathology, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia
| | - Direk Limmathurotsakul
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
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13
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Singh SR, Teo AKJ, Prem K, Ong RTH, Ashley EA, van Doorn HR, Limmathurotsakul D, Turner P, Hsu LY. Epidemiology of Extended-Spectrum Beta-Lactamase and Carbapenemase-Producing Enterobacterales in the Greater Mekong Subregion: A Systematic-Review and Meta-Analysis of Risk Factors Associated With Extended-Spectrum Beta-Lactamase and Carbapenemase Isolation. Front Microbiol 2021; 12:695027. [PMID: 34899618 PMCID: PMC8661499 DOI: 10.3389/fmicb.2021.695027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 10/25/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Despite the rapid spread of extended-spectrum beta-lactamase (ESBL) producing-Enterobacterales (ESBL-E) and carbapenemase-producing Enterobacterales (CPE), little is known about the extent of their prevalence in the Greater Mekong Subregion (GMS). In this systematic review, we aimed to determine the epidemiology of ESBL-E and CPE in clinically significant Enterobacterales: Escherichia coli and Klebsiella pneumoniae from the GMS (comprising of Cambodia, Laos, Myanmar, Thailand, Vietnam and Yunnan province and Guangxi Zhuang region of China). Methods: Following a list of search terms adapted to subject headings, we systematically searched databases: Medline, EMBASE, Scopus and Web of Science for articles published on and before October 20th, 2020. The search string consisted of the bacterial names, methods involved in detecting drug-resistance phenotype and genotype, GMS countries, and ESBL and carbapenemase detection as the outcomes. Meta-analyses of the association between the isolation of ESBL from human clinical and non-clinical specimens were performed using the "METAN" function in STATA 14. Results: One hundred and thirty-nine studies were included from a total of 1,513 identified studies. Despite the heterogeneity in study methods, analyzing the prevalence proportions on log-linear model scale for ESBL producing-E. coli showed a trend that increased by 13.2% (95%CI: 6.1-20.2) in clinical blood specimens, 8.1% (95%CI: 1.7-14.4) in all clinical specimens and 17.7% (95%CI: 4.9-30.4) increase in carriage specimens. Under the log-linear model assumption, no significant trend over time was found for ESBL producing K. pneumoniae and ESBL-E specimens. CPE was reported in clinical studies and carriage studies past 2010, however a trend could not be determined because of the small dataset. Twelve studies were included in the meta-analysis of risk factors associated with isolation of ESBL. Recent antibiotic exposure was the most studied variable and showed a significant positive association with ESBL-E isolation (pooled OR: 2.9, 95%CI: 2.3-3.8) followed by chronic kidney disease (pooled OR: 4.7, 95%CI: 1.8-11.9), and other co-morbidities (pooled OR: 1.6, 95%CI: 1.2-2.9). Conclusion: Data from GMS is heterogeneous with significant data-gaps, especially in community settings from Laos, Myanmar, Cambodia and Yunnan and Guangxi provinces of China. Collaborative work standardizing the methodology of studies will aid in better monitoring, surveillance and evaluation of interventions across the GMS.
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Affiliation(s)
- Shweta R. Singh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Alvin Kuo Jing Teo
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Kiesha Prem
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Rick Twee-Hee Ong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Elizabeth A. Ashley
- Lao-Oxford-Mahosot Hospital Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Laos
- Nuffield Department of Clinical Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
| | - H. Rogier van Doorn
- Nuffield Department of Clinical Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
- Oxford University Clinical Research Unit, Hanoi, Vietnam
| | - Direk Limmathurotsakul
- Nuffield Department of Clinical Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Paul Turner
- Nuffield Department of Clinical Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
- Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
| | - Li Yang Hsu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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14
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Lim C, Ashley EA, Hamers RL, Turner P, Kesteman T, Akech S, Corso A, Mayxay M, Okeke IN, Limmathurotsakul D, van Doorn HR. Surveillance strategies using routine microbiology for antimicrobial resistance in low- and middle-income countries. Clin Microbiol Infect 2021; 27:1391-1399. [PMID: 34111583 PMCID: PMC7613529 DOI: 10.1016/j.cmi.2021.05.037] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 04/27/2021] [Accepted: 05/25/2021] [Indexed: 01/13/2023]
Abstract
BACKGROUND Routine microbiology results are a valuable source of antimicrobial resistance (AMR) surveillance data in low- and middle-income countries (LMICs) as well as in high-income countries. Different approaches and strategies are used to generate AMR surveillance data. OBJECTIVES We aimed to review strategies for AMR surveillance using routine microbiology results in LMICs and to highlight areas that need support to generate high-quality AMR data. SOURCES We searched PubMed for papers that used routine microbiology to describe the epidemiology of AMR and drug-resistant infections in LMICs. We also included papers that, from our perspective, were critical in highlighting the biases and challenges or employed specific strategies to overcome these in reporting AMR surveillance in LMICs. CONTENT Topics covered included strategies of identifying AMR cases (including case-finding based on isolates from routine diagnostic specimens and case-based surveillance of clinical syndromes), of collecting data (including cohort, point-prevalence survey, and case-control), of sampling AMR cases (including lot quality assurance surveys), and of processing and analysing data for AMR surveillance in LMICs. IMPLICATIONS The various AMR surveillance strategies warrant a thorough understanding of their limitations and potential biases to ensure maximum utilization and interpretation of local routine microbiology data across time and space. For instance, surveillance using case-finding based on results from clinical diagnostic specimens is relatively easy to implement and sustain in LMIC settings, but the estimates of incidence and proportion of AMR is at risk of biases due to underuse of microbiology. Case-based surveillance of clinical syndromes generates informative statistics that can be translated to clinical practices but needs financial and technical support as well as locally tailored trainings to sustain. Innovative AMR surveillance strategies that can easily be implemented and sustained with minimal costs will be useful for improving AMR data availability and quality in LMICs.
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Affiliation(s)
- Cherry Lim
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
| | - Elizabeth A Ashley
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Lao-Oxford-Mahosot Hospital Wellcome Trust Research Unit, Vientiane, Laos
| | - Raph L Hamers
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Eijkman-Oxford Clinical Research Unit, Jakarta, Indonesia
| | - Paul Turner
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
| | - Thomas Kesteman
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Oxford University Clinical Research Unit, National Hospital for Tropical Diseases, Hanoi, Viet Nam
| | - Samuel Akech
- KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Alejandra Corso
- National/Regional Reference Laboratory for Antimicrobial Resistance (NRL), Servicio Antimicrobianos, Instituto Nacional de Enfermedades Infecciosas ANLIS Dr. Carlos G. Malbrán, Buenos Aires, Argentina
| | - Mayfong Mayxay
- Lao-Oxford-Mahosot Hospital Wellcome Trust Research Unit, Vientiane, Laos; Institute of Research and Education Development (IRED), University of Health Sciences, Vientiane, Laos
| | - Iruka N Okeke
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria
| | - Direk Limmathurotsakul
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - H Rogier van Doorn
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Oxford University Clinical Research Unit, National Hospital for Tropical Diseases, Hanoi, Viet Nam.
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15
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Okeke IN, Feasey N, Parkhill J, Turner P, Limmathurotsakul D, Georgiou P, Holmes A, Peacock SJ. Leapfrogging laboratories: the promise and pitfalls of high-tech solutions for antimicrobial resistance surveillance in low-income settings. BMJ Glob Health 2021; 5:bmjgh-2020-003622. [PMID: 33268385 PMCID: PMC7712442 DOI: 10.1136/bmjgh-2020-003622] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/23/2020] [Accepted: 10/25/2020] [Indexed: 12/27/2022] Open
Abstract
The scope and trajectory of today’s escalating antimicrobial resistance (AMR) crisis is inadequately captured by existing surveillance systems, particularly those of lower income settings. AMR surveillance systems typically collate data from routine culture and susceptibility testing performed in diagnostic bacteriology laboratories to support healthcare. Limited access to high quality culture and susceptibility testing results in the dearth of AMR surveillance data, typical of many parts of the world where the infectious disease burden and antimicrobial need are high. Culture and susceptibility testing by traditional techniques is also slow, which limits its value in infection management. Here, we outline hurdles to effective resistance surveillance in many low-income settings and encourage an open attitude towards new and evolving technologies that, if adopted, could close resistance surveillance gaps. Emerging advancements in point-of-care testing, laboratory detection of resistance through or without culture, and in data handling, have the potential to generate resistance data from previously unrepresented locales while simultaneously supporting healthcare. Among them are microfluidic, nucleic acid amplification technology and next-generation sequencing approaches. Other low tech or as yet unidentified innovations could also rapidly accelerate AMR surveillance. Parallel advances in data handling further promise to significantly improve AMR surveillance, and new frameworks that can capture, collate and use alternate data formats may need to be developed. We outline the promise and limitations of such technologies, their potential to leapfrog surveillance over currently available, conventional technologies in use today and early steps that health systems could take towards preparing to adopt them.
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Affiliation(s)
- Iruka N Okeke
- Department of Pharmaceutical Microbiology, University of Ibadan, Ibadan, Nigeria
| | - Nicholas Feasey
- The Malawi Liverpool Wellcome Trust Clinical Research Programme, Blantyre, Malawi
| | - Julian Parkhill
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Paul Turner
- Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
| | | | - Pantelis Georgiou
- Department of Electrical and Electronic Engineering, Imperial College London, London, UK
| | - Alison Holmes
- National Centre for Infection Prevention and Management, Faculty of Medicine, Imperial College London, London, UK
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Kranjec C, Morales Angeles D, Torrissen Mårli M, Fernández L, García P, Kjos M, Diep DB. Staphylococcal Biofilms: Challenges and Novel Therapeutic Perspectives. Antibiotics (Basel) 2021; 10:131. [PMID: 33573022 PMCID: PMC7911828 DOI: 10.3390/antibiotics10020131] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 01/21/2021] [Accepted: 01/27/2021] [Indexed: 12/14/2022] Open
Abstract
Staphylococci, like Staphylococcus aureus and S. epidermidis, are common colonizers of the human microbiota. While being harmless in many cases, many virulence factors result in them being opportunistic pathogens and one of the major causes of hospital-acquired infections worldwide. One of these virulence factors is the ability to form biofilms-three-dimensional communities of microorganisms embedded in an extracellular polymeric matrix (EPS). The EPS is composed of polysaccharides, proteins and extracellular DNA, and is finely regulated in response to environmental conditions. This structured environment protects the embedded bacteria from the human immune system and decreases their susceptibility to antimicrobials, making infections caused by staphylococci particularly difficult to treat. With the rise of antibiotic-resistant staphylococci, together with difficulty in removing biofilms, there is a great need for new treatment strategies. The purpose of this review is to provide an overview of our current knowledge of the stages of biofilm development and what difficulties may arise when trying to eradicate staphylococcal biofilms. Furthermore, we look into promising targets and therapeutic methods, including bacteriocins and phage-derived antibiofilm approaches.
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Affiliation(s)
- Christian Kranjec
- Faculty of Chemistry, Biotechnology and Food Science, The Norwegian University of Life Sciences, 1432 Ås, Norway; (C.K.); (D.M.A.); (M.T.M.)
| | - Danae Morales Angeles
- Faculty of Chemistry, Biotechnology and Food Science, The Norwegian University of Life Sciences, 1432 Ås, Norway; (C.K.); (D.M.A.); (M.T.M.)
| | - Marita Torrissen Mårli
- Faculty of Chemistry, Biotechnology and Food Science, The Norwegian University of Life Sciences, 1432 Ås, Norway; (C.K.); (D.M.A.); (M.T.M.)
| | - Lucía Fernández
- Department of Technology and Biotechnology of Dairy Products, Dairy Research Institute of Asturias (IPLA-CSIC), 33300 Villaviciosa, Spain; (L.F.); (P.G.)
- DairySafe Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
| | - Pilar García
- Department of Technology and Biotechnology of Dairy Products, Dairy Research Institute of Asturias (IPLA-CSIC), 33300 Villaviciosa, Spain; (L.F.); (P.G.)
- DairySafe Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
| | - Morten Kjos
- Faculty of Chemistry, Biotechnology and Food Science, The Norwegian University of Life Sciences, 1432 Ås, Norway; (C.K.); (D.M.A.); (M.T.M.)
| | - Dzung B. Diep
- Faculty of Chemistry, Biotechnology and Food Science, The Norwegian University of Life Sciences, 1432 Ås, Norway; (C.K.); (D.M.A.); (M.T.M.)
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