Écologie bactérienne de l’infection nosocomiale au service de réanimation de l’hôpital Laquintinie de Douala, Cameroun

Njall, Clotilde; Adiogo, Dieudonné; Bita, André; Ateba, Noel; Sume, Gerald Etapelong; Kollo, Basile; Binam, F.; Tchoua, R.

doi:10.11604/pamj.2013.14.140.1818

“…This is in agreement with data from the literature [15,16]. The prevalence of A. baumannii in our study is also less than that of Njall carried out at the Laquintinie hospital ICU, and results of ICU in France, which were 12% and 14.4% respectively [17,18]. Higher rates (19.1%) were found in another study in Benin [19].…”

Section: Discussionsupporting

confidence: 92%

Antimicrobial Multi-Resistance of Acinetobacter baumanii Isolated from Clinical Specimens in Douala (Cameroon)

Ebongue¹

2015

JDMP

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Bacteria of the genus Acinetobacter are non-fermentative gram-negative bacilli, often considered as ubiquitous and frequently found in the environment. This work aimed to study the susceptibility of Acinetobacter baumannii isolated at the General Hospital of Douala. This bacterium, which is greatly involved in human pathology, demonstrated high innate and acquired resistance to multiple antibiotics classes. This was a descriptive and retrospective study over a period of ten years (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014), covering all the isolates of Acinetobacter baumannii from in and out patients. Samples were analyzed in the bacteriology laboratory at the General Hospital of Douala. Data collection was made by extraction of the results of all susceptibility of Acinetobacter baumannii, carried out from 2005 to 2014, registered in the memory of the mini API™ system; this automated machine identifies and measures the susceptibility of all the bacterial strains. A total of 266 strains were isolated from suppurations, urine, urinary catheters, and all other specimens received by the laboratory during the study period. These strains obtained from samples collected from all services of the hospital and ambulatory patients. The resistance rates noted were: 67.29 % for ticarcillin, 64.28 % ticarcillin + clavulanic acid, 68.33 % for piperacillin, 56.97 piperacillin + tazobactam, 58.27 % ceftazidime, 58.01 % cefepime, 21.05 % imipenem, 33.46 % colistin, 52.63 % gentamicin, 48.49 % tobramycin, 24.43 % amikacin, 53.40 % netilmicin, 50% for ciprofloxacin and levofloxacin, 51.05 % ofloxacin. The prevalence of multiresistant strains was 43.18 %, mostly seen in patients hospitalized in the Burns unit. Only imipenem and Amikacin showed good activity on these strains with 78.95 % and 75.57 % of susceptibility respectively. This study showed the low activity of penicillin even in combination with beta lactamases inhibitors, as well as the cephalosporins on strains of Acinetobacter baumannii. Therapeutic support of infections due to this pathogen is highly problematic in General hospital of Douala. However, imipenem and amikacin, and to a lesser extent colistin remains effective treatment choices.

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“…Escherichia coli (32.42%) is the most isolated bacterial species, followed by K. pneumoniae (26.85%) and E. cloaceae (25.92%) (Figure 4a). This result corroborates several studies conducted by researchers from other countries that worked on enterobacteria responsible for urinary tract infections [22][23][24][25][26]. A study by Sbiti, et al [27] also obtained similar results.…”

Section: Discussionsupporting

confidence: 90%

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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“…Escherichia coli (32.42%) is the most isolated bacterial species, followed by K. pneumoniae (26.85%) and E. cloaceae (25.92%). This result corroborates several studies conducted by researchers from other countries that worked on enterobacteria responsible for urinary tract infections [22,23,24,25,26]. A study by Sbiti et al, [27] also obtained similar results.…”

Section: Discussionsupporting

confidence: 90%

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

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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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Écologie bactérienne de l’infection nosocomiale au service de réanimation de l’hôpital Laquintinie de Douala, Cameroun

Cited by 20 publications

References 11 publications

Antimicrobial Multi-Resistance of Acinetobacter baumanii Isolated from Clinical Specimens in Douala (Cameroon)

Antimicrobial Multi-Resistance of Acinetobacter baumanii Isolated from Clinical Specimens in Douala (Cameroon)

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

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