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King T, Schindler R, Chavda S, Conly J. Dimensions of poverty as risk factors for antimicrobial resistant organisms in Canada: a structured narrative review. Antimicrob Resist Infect Control 2022; 11:18. [PMID: 35074013 PMCID: PMC8785485 DOI: 10.1186/s13756-022-01059-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 01/10/2022] [Indexed: 11/24/2022] Open
Abstract
Background Few studies have assessed the relationship between poverty and the risk of infection with antimicrobial resistant organisms (AROs). We sought to identify, appraise, and synthesize the available published Canadian literature that analyzes living in poverty and risk of AROs. Methods A structured narrative review methodology was used, including a systematic search of three databases: MedLINE, EMBASE and Web of Science for articles pertaining to poverty, and infection with AROs in Canada between 1990 and 2020. Poverty was broadly defined to include economic measures and associated social determinants of health. Based on inclusion and exclusion criteria, there were 889 initial articles, and 43 included in the final review. The final articles were extracted using a standard format and appraised using the Joanna Briggs Institute Levels of Evidence framework. Results Of 43 studies, 15 (35%) related to methicillin-resistant Staphylococcus aureus (MRSA). One study found a 73% risk reduction (RR 0.27, 95%CI 0.19–0.39, p = < 0.0001) in community-acquired MRSA (CA-MRSA) infection for each $100,000 income increase. Results pertaining to homelessness and MRSA suggested transmission was related to patterns of frequent drug use, skin-to-skin contact and sexual contact more than shelter contact. Indigenous persons have high rates of CA-MRSA, with more rooms in the house being a significant protective factor (OR 0.86, p = 0.023). One study found household income over $60,000 (OR 0.83, p = 0.039) in univariate analysis and higher maternal education (OR 0.76, 95%CI 0.63–0.92, p = 0.005) in multivariate analysis were protective for otitis media due to an ARO among children. Twenty of 43 (46.5%) articles pertained to tuberculosis (TB). Foreign-born persons were four times more likely to have resistant TB compared to Canadian-born persons. None of the 20 studies used income in their analyses. Conclusions There is an association between higher income and protection from CA-MRSA. Mixed results exist regarding the impact of homelessness and MRSA, demonstrating a nuanced relationship with behavioural risk factors. Higher income and maternal education were associated with reduced ARO-associated acute otitis media in children in one study. We do not have a robust understanding of the social measures of marginalization related to being foreign-born that contribute to higher rates of resistant TB infection. Supplementary Information The online version contains supplementary material available at 10.1186/s13756-022-01059-1.
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Chipeta MG, Kumaran EPA, Browne AJ, Hamadani BHK, Haines-Woodhouse G, Sartorius B, Reiner RC, Dolecek C, Hay SI, Moore CE. Mapping local variation in household overcrowding across Africa from 2000 to 2018: a modelling study. Lancet Planet Health 2022; 6:e670-e681. [PMID: 35932787 PMCID: PMC9364142 DOI: 10.1016/s2542-5196(22)00149-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 05/31/2022] [Accepted: 06/13/2022] [Indexed: 05/10/2023]
Abstract
BACKGROUND Household overcrowding is a serious public health threat associated with high morbidity and mortality. Rapid population growth and urbanisation contribute to overcrowding and poor sanitation in low-income and middle- income countries, and are risk factors for the spread of infectious diseases, including COVID-19, and antimicrobial resistance. Many countries do not have adequate surveillance capacity to monitor household overcrowding. Geostatistical models are therefore useful tools for estimating household overcrowding. In this study, we aimed to estimate household overcrowding in Africa between 2000 and 2018 by combining available household survey data, population censuses, and other country-specific household surveys within a geostatistical framework. METHODS We used data from household surveys and population censuses to generate a Bayesian geostatistical model of household overcrowding in Africa for the 19-year period between 2000 and 2018. Additional sociodemographic and health-related covariates informed the model, which covered 54 African countries. FINDINGS We analysed 287 surveys and population censuses, covering 78 695 991 households. Spatial and temporal variability arose in household overcrowding estimates over time. In 2018, the highest overcrowding estimates were observed in the Horn of Africa region (median proportion 62% [IQR 57-63]); the lowest regional median proportion was estimated for the north of Africa region (16% [14-19]). Overall, 474·4 million (95% uncertainty interval [UI] 250·1 million-740·7 million) people were estimated to be living in overcrowded conditions in Africa in 2018, a 62·7% increase from the estimated 291·5 million (180·8 million-417·3 million) people who lived in overcrowded conditions in the year 2000. 48·5% (229·9 million) of people living in overcrowded conditions came from six African countries (Nigeria, Ethiopia, Democratic Republic of the Congo, Sudan, Uganda, and Kenya), with a combined population of 538·3 million people. INTERPRETATION This study incorporated survey and population censuses data and used geostatistical modelling to estimate continent-wide overcrowding over a 19-year period. Our analysis identified countries and areas with high numbers of people living in overcrowded conditions, thereby providing a benchmark for policy planning and the implementation of interventions such as in infectious disease control. FUNDING UK Department of Health and Social Care, Wellcome Trust, Bill & Melinda Gates Foundation.
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Affiliation(s)
- Michael G Chipeta
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; African Institute for Development Policy, Lilongwe, Malawi
| | - Emmanuelle P A Kumaran
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Annie J Browne
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Bahar H Kashef Hamadani
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Georgina Haines-Woodhouse
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Benn Sartorius
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Robert C Reiner
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Christiane Dolecek
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Catrin E Moore
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; Centre for Neonatal and Paediatric Infection, St George's, University of London, London, UK.
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Alividza V, Mariano V, Ahmad R, Charani E, Rawson TM, Holmes AH, Castro-Sánchez E. Investigating the impact of poverty on colonization and infection with drug-resistant organisms in humans: a systematic review. Infect Dis Poverty 2018; 7:76. [PMID: 30115132 PMCID: PMC6097281 DOI: 10.1186/s40249-018-0459-7] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 07/09/2018] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Poverty increases the risk of contracting infectious diseases and therefore exposure to antibiotics. Yet there is lacking evidence on the relationship between income and non-income dimensions of poverty and antimicrobial resistance. Investigating such relationship would strengthen antimicrobial stewardship interventions. METHODS A systematic review was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, Ovid, MEDLINE, EMBASE, Scopus, CINAHL, PsychINFO, EBSCO, HMIC, and Web of Science databases were searched in October 2016. Prospective and retrospective studies reporting on income or non-income dimensions of poverty and their influence on colonisation or infection with antimicrobial-resistant organisms were retrieved. Study quality was assessed with the Integrated quality criteria for review of multiple study designs (ICROMS) tool. RESULTS Nineteen articles were reviewed. Crowding and homelessness were associated with antimicrobial resistance in community and hospital patients. In high-income countries, low income was associated with Streptococcus pneumoniae and Acinetobacter baumannii resistance and a seven-fold higher infection rate. In low-income countries the findings on this relation were contradictory. Lack of education was linked to resistant S. pneumoniae and Escherichia coli. Two papers explored the relation between water and sanitation and antimicrobial resistance in low-income settings. CONCLUSIONS Despite methodological limitations, the results suggest that addressing social determinants of poverty worldwide remains a crucial yet neglected step towards preventing antimicrobial resistance.
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Affiliation(s)
- Vivian Alividza
- NIHR Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK
| | - Victor Mariano
- NIHR Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK
| | - Raheelah Ahmad
- NIHR Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK
- Health Group, Management Department, Imperial College Business School, Exhibition Road, London, UK
| | - Esmita Charani
- NIHR Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK
| | - Timothy M. Rawson
- NIHR Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK
| | - Alison H. Holmes
- NIHR Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK
| | - Enrique Castro-Sánchez
- NIHR Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK
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Santosaningsih D, Santoso S, Budayanti NS, Suata K, Lestari ES, Wahjono H, Djamal A, Kuntaman K, van Belkum A, Laurens M, Snijders SV, Willemse-Erix D, Goessens WH, Verbrugh HA, Severin JA. Characterisation of clinical Staphylococcus aureus isolates harbouring mecA or Panton-Valentine leukocidin genes from four tertiary care hospitals in Indonesia. Trop Med Int Health 2016; 21:610-8. [PMID: 26970318 DOI: 10.1111/tmi.12692] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
OBJECTIVES To determine the prevalence, antimicrobial susceptibility profiles and clonal distribution of either methicillin-resistant Staphylococcus aureus (MRSA) or Panton-Valentine leukocidin (PVL)-positive S. aureus obtained from clinical cultures in Indonesian hospitals. METHODS S. aureus isolates from clinical cultures of patients in four tertiary care hospitals in Denpasar, Malang, Padang and Semarang were included. We assessed the antimicrobial susceptibility profiles using the Vitek2(®) system, determined the presence of the mecA gene and genes encoding PVL using PCR and analysed the clonal relatedness with Raman spectroscopy. SCCmec typing was performed for all MRSA isolates. Multilocus sequence typing (MLST) was performed for a subset of isolates. RESULTS In total, 259 S. aureus strains were collected. Of these, 17/259 (6.6%) and 48/259 (18.5%) were MRSA and PVL-positive methicillin-susceptible S. aureus (MSSA), respectively. The prevalence of MRSA and PVL-positive MSSA ranged between 2.5-8.9% and 9.5-29.1%, respectively and depended on geographic origin. PVL-positive MRSA were not detected. Raman spectroscopy of the strains revealed multiple Raman types with two predominant clusters. We also showed possible transmission of a ST239-MRSA-SCCmec type III strain and a ST121 PVL-positive MSSA in one of the hospitals. CONCLUSIONS We showed that MRSA and PVL-positive MSSA are of clinical importance in Indonesian hospitals. A national surveillance system should be set-up to further monitor this. To reduce the prevalence of MRSA in Indonesian hospitals, a bundle of intervention measures is highly recommended.
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Affiliation(s)
- Dewi Santosaningsih
- Department of Microbiology, Faculty of Medicine, Brawijaya University/Dr.Saiful Anwar Hospital, Malang, Indonesia
| | - Sanarto Santoso
- Department of Microbiology, Faculty of Medicine, Brawijaya University/Dr.Saiful Anwar Hospital, Malang, Indonesia
| | - Nyoman S Budayanti
- Department of Microbiology, Faculty of Medicine, Udayana University/Sanglah Hospital, Denpasar, Bali, Indonesia
| | - Ketut Suata
- Department of Microbiology, Faculty of Medicine, Udayana University/Sanglah Hospital, Denpasar, Bali, Indonesia
| | - Endang S Lestari
- Department of Microbiology, Faculty of Medicine, Diponegoro University/Dr.Kariadi Hospital, Semarang, Indonesia
| | - Hendro Wahjono
- Department of Microbiology, Faculty of Medicine, Diponegoro University/Dr.Kariadi Hospital, Semarang, Indonesia
| | - Aziz Djamal
- Department of Microbiology, Faculty of Medicine, Andalas University/Dr.M.Djamil Hospital, Padang, Indonesia
| | - Kuntaman Kuntaman
- Department of Microbiology, Faculty of Medicine, Airlangga University/Dr.Soetomo Hospital, Surabaya, Indonesia
| | - Alex van Belkum
- Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre, Rotterdam, the Netherlands.,Microbiology Unit, Biomérieux, Inc., La Balme, France
| | - Mitchell Laurens
- Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre, Rotterdam, the Netherlands.,BaseClear BV, Leiden, the Netherlands
| | - Susan V Snijders
- Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Diana Willemse-Erix
- Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre, Rotterdam, the Netherlands.,Molecular Diagnostics, Jeroen Bosch Hospital, Tilburg, the Netherlands
| | - Wil H Goessens
- Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Henri A Verbrugh
- Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Juliëtte A Severin
- Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre, Rotterdam, the Netherlands
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Santosaningsih D, Santoso S, Budayanti NS, Kuntaman K, Lestari ES, Farida H, Hapsari R, Hadi P, Winarto W, Milheiriço C, Maquelin K, Willemse-Erix D, van Belkum A, Severin JA, Verbrugh HA. Epidemiology of Staphylococcus aureus harboring the mecA or Panton-Valentine leukocidin genes in hospitals in Java and Bali, Indonesia. Am J Trop Med Hyg 2014; 90:728-34. [PMID: 24567320 DOI: 10.4269/ajtmh.13-0734] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Data of Staphylococcus aureus carriage in Indonesian hospitals are scarce. Therefore, the epidemiology of S. aureus among surgery patients in three academic hospitals in Indonesia was studied. In total, 366 of 1,502 (24.4%) patients carried S. aureus. The methicillin-resistant S. aureus (MRSA) carriage rate was 4.3%, whereas 1.5% of the patients carried Panton-Valentine leukocidin (PVL)-positive methicillin-sensitive S. aureus (MSSA). Semarang and Malang city (odds ratio [OR] 9.4 and OR 9.0), being male (OR 2.4), hospitalization for more than 5 days (OR 11.708), and antibiotic therapy during hospitalization (OR 2.6) were independent determinants for MRSA carriage, whereas prior hospitalization (OR 2.5) was the only one risk factor for PVL-positive MSSA carriage. Typing of MRSA strains by Raman spectroscopy showed three large clusters assigned type 21, 24, and 38, all corresponding to ST239-MRSA-SCCmec type III. In conclusion, MRSA and PVL-positive MSSA are present among patients in surgical wards in Indonesian academic hospitals.
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Affiliation(s)
- Dewi Santosaningsih
- Department of Microbiology, Faculty of Medicine, Brawijaya University/Dr. Saiful Anwar Hospital, Malang, Indonesia; Department of Microbiology, Faculty of Medicine, Udayana University/Sanglah Hospital, Denpasar, Bali, Indonesia; Department of Microbiology, Faculty of Medicine, Airlangga University/Dr. Soetomo Hospital, Surabaya, Indonesia; Department of Microbiology, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia; Laboratory of Molecular Genetics, Instituto de Tecnologia Quimica e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal; Center for Optical Diagnostics and Therapy, Department of Dermatology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center, Rotterdam, The Netherlands
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Sowash MG, Uhlemann AC. Community-associated methicillin-resistant Staphylococcus aureus case studies. Methods Mol Biol 2014; 1085:25-69. [PMID: 24085688 DOI: 10.1007/978-1-62703-664-1_2] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Over the past decade, the emergence of community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) has changed the landscape of S. aureus infections around the globe. Initially recognized for its ability to cause disease in young and healthy individuals without healthcare exposures as well as for its distinct genotype and phenotype, this original description no longer fully encompasses the diversity of CA-MRSA as it continues to expand its niche. Using four case studies, we highlight a wide range of the clinical presentations and challenges of CA-MRSA. Based on these cases we further explore the globally polygenetic background of CA-MRSA with a special emphasis on generally less characterized populations.
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Affiliation(s)
- Madeleine G Sowash
- Division of Infectious Diseases, Department of Medicine, College of Physicians & Surgeons, Columbia University, New York, NY, USA
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Nasal carriage of methicillin-resistant and methicillin-sensitive strains of Staphylococcus sciuri in the Indonesian population. Antimicrob Agents Chemother 2010; 54:5413-7. [PMID: 20837756 DOI: 10.1128/aac.00426-10] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Staphylococcus sciuri strains were unexpectedly cultured from healthy persons and patients from Indonesia during a population-based survey on nasal Staphylococcus aureus carriage. Fifty-one S. sciuri isolates were further characterized. The S. aureus mecA gene was detected by PCR in 22 isolates (43.1%), whereas S. sciuri mecA was found in 33 isolates (64.7%). The staphylococcal cassette chromosome mec (SCCmec) regions of S. aureus mecA-positive isolates contained elements of classical S. aureus SCCmec types II and/or III.
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