La résistance aux antibiotiques chez les entérobactéries uropathogènes en milieu pédiatrique au CHU de Marrakech

Moutachakkir, Mariame; Chinbo, Mehdi; Elkhoudri, Noureddine; Soraa, Nabila

doi:10.1016/j.jpp.2014.10.007

Cited by 9 publications

(7 citation statements)

References 23 publications

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“…The female predominance is related to the anatomical configuration: shortness of the urethra, proximity of the genital and anal openings, insufficient hygiene practices, sexual intercourse and pregnancy. A study by Moutachakkir et al, [20] noted a similar result in his study on enterobacterial phenotypes responsible for community and nosocomial infections. However, urinary cytology showed epithelial cells, urinary crystals, kidney cells and leukocytes which were mostly high.…”

Section: Discussionsupporting

confidence: 65%

Modeling the antimicrobial resistance of enterobacteria responsible for Urinary Tract Infections in Benin: Another way to control Antimicrobial Resistance

Dougnon

Assogba

Mohammed

et al. 2020

Preprint

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Background: Infectious diseases are serious public health issue both in developing countries and industrialized nations. In developing countries, they are the main cause of high mortality rates. In the second group, existing resistance strains to antibiotics is developing and growing at an alarming rate. The purpose of this study was to produce data of national interest to implement sustainable control program against the spread of antimicrobial resistance strains in Benin. Methods: One hundred and ninety (190) urine samples were collected in selected hospitals in Benin from patients with urinary tract infection. After getting the informed consent from the patients, samples collections were performed under aseptic conditions and cultured for further analysis in the laboratory. The resistance profile of the bacterial strains was established. The search for beta-lactamase production by the isolates was performed using the synergy test for amoxicillin/clavulanic acid and cephalosporins. Mathematical modeling for predicting the development of resistance of the strains by the year 2024 was carried out employing the compartmental deterministic models. Results: Two hundred and thirty (230) strains were identified from the urine samples. Male individuals were the most affected by urinary tract infections. Individuals between the ages of 21-30 were predominantly infected. E. coli was the most isolated species (32.43%) in the urine samples, followed by K. pneumoniae (26.85%) and E. cloacae (25.92%). The susceptibility testing of isolates showed a high resistance to amoxicillin (91.82%). Whereas the lowest resistance was to imipenem (2%). The beta-lactamase was produced by 24.03% of the strains. Escherichia coli (32.43%) was the most productive of broad spectrum beta-lactamase, followed by K. pneumoniae (31.03%). The mathematical modeling revealed a rampant rise in resistance development of the strains to the tested antibiotics. Conclusions: These results provide important data for developing new preventive strategies against the evolution of bacterial resistance to antibiotics. It therefore, further deserves a constructive advocacy so that more actions are taken against the rampant spread of antimicrobial resistance strains in our health facilities as well as in the communities.

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Section: Discussionsupporting

confidence: 65%

Modeling the antimicrobial resistance of enterobacteria responsible for Urinary Tract Infections in Benin: Another way to control Antimicrobial Resistance

Dougnon

Assogba

Mohammed

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The female predominance is related to the anatomical configuration: shortness of the urethra, proximity of the genital and anal openings, insufficient hygiene practices, sexual intercourse and pregnancy. [20] reported a similar result in his study on enterobacterial phenotypes responsible for community and nosocomial infections. However, urinary cytology showed epithelial cells, urinary crystals, kidney cells and leukocytes which are the most numerous.…”

Section: Discussionsupporting

confidence: 63%

Modeling the antimicrobial resistance of enterobacteria responsible for Urinary Tract Infections in Benin: another way to Control or survey Antimicrobial Resistance

Dougnon

Assogba

GNIMATIN

et al. 2019

Preprint

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Background: Infectious diseases are serious public health issue both in developing countries and industrialized countries. In developing countries, they are the main cause of high mortality rates. In the second group, existing resistance to antibiotics is developing growing at an alarming rate. The purpose of this study was to produce data of national interest to implement sustainable control of antimicrobial resistance as well as it spreads. Methods: One hundred ninety (190) urine samples were collected in several hospitals in Benin from patients suspected of having a urinary tract infection. After getting the inform consent from patients, samples collections were performed under aseptic conditions and were further subjected to bacteriological tests in the laboratory. The resistance profile of the bacterial strains identified was then established. The search for betalactamase production was performed by the synergy test between amoxicillin + clavulanic acid and cephalosporins. Mathematical modeling of the resistance of the strains identified by 2024 was finally carried out using compartmental deterministic models. Results: Two hundred thirty (230) strains were identified from urine samples. Male individuals were the most affected by urinary tract infections. Individuals in the 21-30 age groups were predominant. Escherichia coli was the most isolated bacterial species (32.43%) in this study followed by Klebsiella pneumoniae (26.85%) and Enterobacter cloaceae (25.92%). The susceptibility testing of isolates bacteria to antibiotics showed a strong resistance of strains to amoxicillin (91.82%). The lowest resistance obtained was observed with imipenem (2%). The betalactamase was produced by 24.03% of the strains identified. Escherichia coli (32.43%) was indeed the most productive of betalactamase followed by Klebsiella pneumoniae (31.03%). Mathematical modeling revealed a rampant rise in the resistance of bacteria to the antibiotics tested. Conclusions: These results provide important data for public health. They deserve constructive advocacy so that more specific actions are taken in relation to antimicrobial resistance.

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“… [ 65 ] Prospective Nov 2008–Feb 2009 Private hemodialysis centres in Casablanca Nasal swabs (145 patients and 42 personnel) DDM S. aureus [ 123 ] Prospective Jun–Aug 2011 Ibn Rochd UH of Casablanca 166 isolates recovered from urine (n = 80), pus (n = 34), blood (n = 24), sputum (n = 11) and others (n = 17) DDM K. pneumoniae [ 124 ] Retrospective Apr 2012–July 2013 Military Hospital Mohammed V, Rabat Isolates from inpatients and outpatients. Urine isolates represented 82% DDM E. coli [ 125 ] Prospective Jan 2012–Dec 2013 UH Mohamed VI of Marrakesh 406 enterobacteriaceae strains isolated (urinary samples of hospitalized children) DDM E. coli, Klebsiella.sp [ 126 ] Retrospective Nov 2010–Dec 2012 Mohammed V Hospital Meknes 150 patients infected by E. coli from hematology (68.7%), urology (22%) and burn (16%) wards DDM E. coli [ 127 ] Retrospective Jan 2010–Dec 2012 Avicenne Teaching Hospital, Marrakech K. pneumoniae strains (urine samples) BMD K. pneumoniae [ 128 ] Retrospective 2010–2012 Avicenne Teaching ...…”

Section: Resultsmentioning

confidence: 99%

Antimicrobial resistance among GLASS pathogens in Morocco: an epidemiological scoping review

et al. 2022

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Background Monitoring of antimicrobial resistance (AMR) is of great importance due to the frequency of strains becoming increasingly resistant to antibiotics. This review, using a public health focused approach, which aims to understand and describe the current status of AMR in Morocco in relation to WHO priority pathogens and treatment guidelines. Methods PubMed, ScienceDirect and Google Scholar Databases and grey literature are searched published articles on antimicrobial drug resistance data for GLASS priority pathogens isolated from Morocco between January 2011 and December 2021. Articles are screened using strict inclusion/exclusion criteria. AMR data is extracted with medians and IQR of resistance rates. Results Forty-nine articles are included in the final analysis. The most reported bacterium is Escherichia coli with median resistance rates of 90.9%, 64.0%, and 56.0%, for amoxicillin, amoxicillin-clavulanic acid, and co-trimoxazole, respectively. Colistin had the lowest median resistance with 0.1%. A median resistance of 63.0% is calculated for amoxicillin-clavulanic acid in Klebsiella pneumonia. Imipenem resistance with a median of 74.5% is reported for Acinetobacter baumannii. AMR data for Streptococcus pneumonie does not exceed 50.0% as a median. Conclusions Whilst resistance rates are high for most of GLASS pathogens, there are deficient data to draw vigorous conclusions about the current status AMR in Morocco. The recently join to the GLASS system surveillance will begin to address this data gap.

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La résistance aux antibiotiques chez les entérobactéries uropathogènes en milieu pédiatrique au CHU de Marrakech

Cited by 9 publications

References 23 publications

Modeling the antimicrobial resistance of enterobacteria responsible for Urinary Tract Infections in Benin: Another way to control Antimicrobial Resistance

Modeling the antimicrobial resistance of enterobacteria responsible for Urinary Tract Infections in Benin: Another way to control Antimicrobial Resistance

Modeling the antimicrobial resistance of enterobacteria responsible for Urinary Tract Infections in Benin: another way to Control or survey Antimicrobial Resistance

Antimicrobial resistance among GLASS pathogens in Morocco: an epidemiological scoping review

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