Phénotypes de résistance des souches d'Escherichia coli responsables des infections urinaires communautaires dans la ville de Yaoundé (Cameroun)

Kamga, Hortense Gonsu; Nzengang, R.; Toukam, Michel; Sando, Z.; Suzuki, Shiro

doi:10.4303/ajpm/235891

“…Thus, a total of 190 urine samples were collected. On average, fifteen [13] urine samples are received per week in the surveyed hospitals. This influx would be justified by the public health threats posed by urinary tract infections in developing countries like Benin [14].…”

Section: Discussionmentioning

confidence: 99%

Modeling the Antimicrobial Resistance of Enterobacteria Responsible for Urinary Tract Infections in Benin: Another Way to Control Antimicrobial Resistance

Dougnon

¹

,

Assogba

²

,

GNIMATIN

³

et al. 2020

AJBGMB

4

3

0

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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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“…On average, fifteen [13] urine samples are received per week in the surveyed hospitals. This influx would be justified by the public health threats posed by urinary tract infections in developing countries like Benin [14]. Several researchers have reported in various studies that these infections are the most common bacterial diseases in hospital and community settings [15,16].…”

Section: Discussionmentioning

confidence: 99%

“…Strains of E. coli (34.61%) are the most producing beta-lactamase in our study followed by K. pneumoniae (30.77%). This resistance may be explained by a decrease in the activity of the beta-lactamase inhibitor (clavulanic acid), resulting from a penicillinase hyperproduction, or the inactivation of the inhibitor itself [14]. This is probably due to the often anarchic prescription of these molecules, especially in ambulatory medicine, pending ECBU results.…”

Section: Discussionmentioning

confidence: 99%

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

Dougnon

¹

,

Assogba

²

,

Mohammed

³

et al. 2020

Preprint

View full text Add to dashboard Cite

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.

show abstract

“…On average, fifteen [13] urine samples are received per week in the surveyed hospitals. This influx would be justified by the real public health issue which is the urinary tract infections in developing countries like Benin [14]. Several researchers have reported in various studies that urinary tract infections are the most common infectious bacterial diseases in hospital and community settings [15,16].…”

Section: Discussionmentioning

confidence: 99%

“…Strains of Escherchia coli (34.61%) are the most productive of betalactamase in our study followed by Klebsiella pneumoniae (30.77%). This resistance may be explained by a decrease in the activity of the betalactamase inhibitor (clavulanic acid), resulting from a penicillinase hyperproduction, or the inactivation of the inhibitor itself [14]. This is probably due to the often anarchic prescription of these molecules, especially in ambulatory medicine, pending ECBU results.…”

Section: Discussionmentioning

confidence: 99%

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

Dougnon

¹

,

Assogba

²

,

GNIMATIN

³

et al. 2019

Preprint

1

0

View full text Add to dashboard Cite

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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Phénotypes de résistance des souches d'Escherichia coli responsables des infections urinaires communautaires dans la ville de Yaoundé (Cameroun)

Cited by 15 publications

References 7 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 Antimicrobial Resistance

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

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