Zum Hauptinhalt springen

Prevalence of colonization with multidrug-resistant bacteria in communities and hospitals in Kenya.

Ita, T ; Luvsansharav, UO ; et al.
In: Scientific reports, Jg. 12 (2022-12-24), Heft 1, S. 22290
Online academicJournal

Titel:
Prevalence of colonization with multidrug-resistant bacteria in communities and hospitals in Kenya.
Autor/in / Beteiligte Person: Ita, T ; Luvsansharav, UO ; Smith, RM ; Mugoh, R ; Ayodo, C ; Oduor, B ; Jepleting, M ; Oguta, W ; Ouma, C ; Juma, J ; Bigogo, G ; Kariuki, S ; Ramay, BM ; Caudell, M ; Onyango, C ; Ndegwa, L ; Verani, JR ; Bollinger, S ; Sharma, A ; Palmer, GH ; Call, DR ; Omulo, S
Link:
Zeitschrift: Scientific reports, Jg. 12 (2022-12-24), Heft 1, S. 22290
Veröffentlichung: London : Nature Publishing Group, copyright 2011-, 2022
Medientyp: academicJournal
ISSN: 2045-2322 (electronic)
DOI: 10.1038/s41598-022-26842-3
Schlagwort:
  • Humans
  • Prevalence
  • Kenya epidemiology
  • Drug Resistance, Multiple, Bacterial genetics
  • Hospitals
  • Anti-Bacterial Agents pharmacology
  • Anti-Bacterial Agents therapeutic use
  • Methicillin-Resistant Staphylococcus aureus
  • Staphylococcal Infections microbiology
Sonstiges:
  • Nachgewiesen in: MEDLINE
  • Sprachen: English
  • Publication Type: Journal Article; Research Support, N.I.H., Extramural
  • Language: English
  • [Sci Rep] 2022 Dec 24; Vol. 12 (1), pp. 22290. <i>Date of Electronic Publication: </i>2022 Dec 24.
  • MeSH Terms: Methicillin-Resistant Staphylococcus aureus* ; Staphylococcal Infections* / microbiology ; Humans ; Prevalence ; Kenya / epidemiology ; Drug Resistance, Multiple, Bacterial / genetics ; Hospitals ; Anti-Bacterial Agents / pharmacology ; Anti-Bacterial Agents / therapeutic use
  • References: Dadgostar, P. Antimicrobial resistance: Implications and costs. Infect. Drug Resist. 12, 3903–3910 (2019). (PMID: 10.2147/IDR.S234610) ; Murray, C. J. L. et al. Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis. Lancet 399, 629–655 (2022). (PMID: 10.1016/S0140-6736(21)02724-0) ; Medina, M.-J., Legido-Quigley, H. & Hsu, L. Y. Antimicrobial resistance in one health. In Global Health Security 209–229 (Springer, 2020). (PMID: 10.1007/978-3-030-23491-1_10) ; WHO. Global Action Plan on Antimicrobial Resistance (WHO Report, 2015). ; CDC. Antibiotic Resistance Threats in the United States, 2019 (U.S. Department of Health and Human Services, CDC, Atlanta, GA, 2019). ; Iskandar, K. et al. Surveillance of antimicrobial resistance in low- and middle-income countries: A scattered picture. Antimicrob. Resist. Infect. Control 10(1), 63 (2021). (PMID: 10.1186/s13756-021-00931-w) ; Gandra, S. et al. Antimicrobial resistance surveillance in low- and middle-income countries: Progress and challenges in eight South Asian and Southeast Asian countries. Clin. Microbiol. Rev. 33(3), e00048-e119 (2020). (PMID: 10.1128/CMR.00048-19) ; Smith, R. M., et al. in Open Forum Infectious Diseases, Vol. 8, no. (11) (2021). ; Sharma, A. et al. Multi-country cross-sectional study of colonization with multidrug-resistant organisms: Protocol and methods for the Antibiotic Resistance in Communities and Hospitals (ARCH) studies. BMC Public Health 21(1), 1412 (2021). (PMID: 10.1186/s12889-021-11451-y) ; Feikin, D. R. et al. The burden of common infectious disease syndromes at the clinic and household level from population-based surveillance in rural and Urban Kenya. PLOS ONE 6(1), e16085 (2011). (PMID: 10.1371/journal.pone.0016085) ; Feikin, D. R. et al. Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya. Int. J. Epidemiol. 39(2), 450–458 (2010). (PMID: 10.1093/ije/dyp374) ; Taupin, A. D. A. S. Kibera: The biggest slum in Africa? Les Cahiers d’Afrique de l’Est/the East African review [Online], 44 | 2011, Online since 07 May 2019, connection on 15 November 2022 (2011). ; Bigogo, G. M. Population based disease surveillance in Kenya: The epidemiology of selected infectious diseases (2019). ; Omulo, S. et al. Carriage of antimicrobial-resistant bacteria in a high-density informal settlement in Kenya is associated with environmental risk-factors. Antimicrob. Resist. Infect. Control 10(1), 18 (2021). (PMID: 10.1186/s13756-021-00886-y) ; CLSI. Performance Standards for Antimicrobial Susceptibility Testing. 30th ed. CLSI supplement M100 (Clinical and Laboratory Standards Institute, Wayne, PA, 2020). ; Magiorakos, A. P. et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: An international expert proposal for interim standard definitions for acquired resistance. Clin. Microbiol. Infect. 18(3), 268–281 (2012). (PMID: 10.1111/j.1469-0691.2011.03570.x) ; Kadri, S. S. et al. Difficult-to-treat resistance in gram-negative bacteremia at 173 US Hospitals: Retrospective cohort analysis of prevalence, predictors, and outcome of resistance to all first-line agents. Clin. Infect. Dis. 67(12), 1803–1814 (2018). ; StataCorp. Stata Statistical Software: Release 17 (StataCorp LLC, College Station, TX, 2021). ; Wickham, H., ggplot2: Elegant Graphics for Data Analysis (Springer, New York, ISBN 978-3-319-24277-4, 2016). ; Krassowski, M. in R package Version 0.5, Vol. 18 (2020). ; Lex, A. et al. UpSet: Visualization of intersecting sets. IEEE Trans. Vis. Comput. Graph. 20(12), 1983–1992 (2014). (PMID: 10.1109/TVCG.2014.2346248) ; Ssekatawa, K. et al. A systematic review: The current status of carbapenem resistance in East Africa. BMC. Res. Notes 11(1), 629 (2018). (PMID: 10.1186/s13104-018-3738-2) ; Aiken, A. M. et al. Carriage of Staphylococcus aureus in Thika level 5 Hospital, Kenya: A cross-sectional study. Antimicrob. Resist. Infect. Control 3(1), 22 (2014). (PMID: 10.1186/2047-2994-3-22) ; Maina, E. K. et al. Characterization of methicillin-resistant Staphylococcus aureus from skin and soft tissue infections in patients in Nairobi, Kenya. Int. J. Infect. Dis. 17(2), e115–e119 (2013). (PMID: 10.1016/j.ijid.2012.09.006) ; Omulo, S. et al. Point-prevalence surveys of antibiotic use at three large public hospitals in Kenya. Infect. Control Hosp. Epidemiol. 41(S1), s353–s354 (2020). (PMID: 10.1017/ice.2020.971) ; Seni, J. et al. Antimicrobial use across six referral hospitals in Tanzania: A point prevalence survey. BMJ Open 10(12), e042819 (2020). (PMID: 10.1136/bmjopen-2020-042819) ; Subbiah, M. et al. Antimicrobial resistant enteric bacteria are widely distributed amongst people, animals and the environment in Tanzania. Nat. Commun. 11(1), 228 (2020). (PMID: 10.1038/s41467-019-13995-5) ; Nyamu, N. et al. Burden of upper respiratory tract infections in primary care facilities and excessive antimicrobial over-prescription: A community-oriented primary care project in rural Kenya. Afr. J. Prim. Health Care Fam. Med. 13(1), e1–e4 (2021). (PMID: 10.4102/phcfm.v13i1.3107) ; Kemp, S. A. et al. A cross-sectional survey of the knowledge, attitudes, and practices of antimicrobial users and providers in an area of high-density livestock-human population in Western Kenya. Front. Vet. Sci. 8, 727365 (2021). (PMID: 10.3389/fvets.2021.727365) ; Caudell, M. A. et al. Identification of risk factors associated with carriage of resistant Escherichia coli in three culturally diverse ethnic groups in Tanzania: A biological and socioeconomic analysis. Lancet Planet. Health 2(11), e489–e497 (2018). (PMID: 10.1016/S2542-5196(18)30225-0) ; Kibwana, U. O. et al. High fecal carriage of extended Beta Lactamase producing Enterobacteriaceae among adult patients admitted in referral hospitals in Dar es Salaam, Tanzania. BMC Infect. Dis. 20(1), 557 (2020). (PMID: 10.1186/s12879-020-05272-4) ; Nguekap, W. L. N. et al. Carriage of extended-spectrum beta-lactamase-producing Enterobacteriaceae by healthy school children from two remote villages in western Cameroon. Int. J. Biol. Chem. Sci. 14(9), 3018–3030 (2020). (PMID: 10.4314/ijbcs.v14i9.5) ; WHO. Global antimicrobial resistance and use surveillance system (GLASS) report 2021 (World Health Organization, Geneva, 2021). Licence: CC BY-NC-SA 3.0 IGO. ; Kesah, C. et al. Prevalence of methicillin-resistant Staphylococcus aureus in eight African hospitals and Malta. Clin. Microbiol. Infect. 9(2), 153–156 (2003). (PMID: 10.1046/j.1469-0691.2003.00531.x) ; Muriuki, C. W. et al. Phenotypic and genotypic characteristics of uropathogenic Escherichia coli isolates from Kenya. Microb. Drug Resist. 28(1), 31–38 (2022). (PMID: 10.1089/mdr.2020.0432) ; Lord, J. et al. Antimicrobial resistance among Enterobacteriaceae, Staphylococcus aureus, and Pseudomonas spp. isolates from clinical specimens from a hospital in Nairobi, Kenya. PeerJ 9, e11958 (2021). (PMID: 10.7717/peerj.11958) ; Wangai, F. K. et al. Bridging antimicrobial resistance knowledge gaps: The East African perspective on a global problem. PLOS ONE 14(2), e0212131 (2019). (PMID: 10.1371/journal.pone.0212131) ; Omuse, G., Kabera, B. & Revathi, G. Low prevalence of methicillin resistant Staphylococcus aureus as determined by an automated identification system in two private hospitals in Nairobi, Kenya: A cross sectional study. BMC Infect. Dis. 14, 669 (2014). (PMID: 10.1186/s12879-014-0669-y) ; Wangai, F. K. et al. Methicillin-resistant Staphylococcus aureus (MRSA) in East Africa: Red alert or red herring?. BMC Infect. Dis. 19(1), 596 (2019). (PMID: 10.1186/s12879-019-4245-3) ; Harbottle, H. et al. Genetics of antimicrobial resistance. Anim. Biotechnol. 17(2), 111–124 (2006). (PMID: 10.1080/10495390600957092) ; Mulvey, M. R. & Simor, A. E. Antimicrobial resistance in hospitals: how concerned should we be?. CMAJ Can. Med. Assoc. J. 180(4), 408–415 (2009). (PMID: 10.1503/cmaj.080239)
  • Grant Information: U01 GH002143 United States GH CGH CDC HHS
  • Substance Nomenclature: 0 (Anti-Bacterial Agents)
  • Entry Date(s): Date Created: 20221224 Date Completed: 20221227 Latest Revision: 20230121
  • Update Code: 20240513
  • PubMed Central ID: PMC9789952

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

oder
oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

oder
oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.

xs 0 - 576
sm 576 - 768
md 768 - 992
lg 992 - 1200
xl 1200 - 1366
xxl 1366 -