Gram-negative infections – Burden, Antibiotic Resistance and Empiric Treatment

10.33540/484 ◽  
2021 ◽  
Author(s):  
◽  
Jan Willem Timotëus Deelen
Keyword(s):  
Antibiotic Resistance ◽  
Gram Negative ◽  
Empiric Treatment

Extended Spectrum Beta Lactamase (ESBL), bla TEM,bla SHVand bla CTX-M,resistance genes in Community and Healthcare Associated Gram Negative Bacteria from Osun State, Nigeria

2020 ◽  
Vol 20 ◽  
Author(s):  
Ganiyat Shitta ◽  
Olufunmilola Makanjuola ◽  
Olusolabomi Adefioye ◽  
Olugbenga Adekunle Olowe
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Gram Negative Bacteria ◽  
Beta Lactamase ◽  
Multiple Antibiotic Resistance ◽  
Esbl Production ◽  
Gram Negative ◽  
Extended Spectrum Beta Lactamase ◽  
Healthcare Associated ◽  
Esbl Producers

Background: Extended Spectrum Beta Lactamase (ESBL) production in gram negative bacteria confers multiple antibiotic resistance, adversely affecting antimicrobial therapy in infected individuals. ESBLs result from mutations in β-lactamases encoded mainly by the bla TEM,bla SHVand bla CTX-Mgenes. The prevalence of ESBL producing bacteria has been on the increase globally especially its upsurge among isolates from community-acquired infections. Aim: To determine ESBL prevalence and identify ESBL genes among clinical isolates in Osun State, Nigeria. Material and Methods: A cross-sectional study was carried out from August 2016 –July 2017 in Osun State, Nigeria. Three hundred and sixty Gram negative bacteria recovered from clinical samples obtained from both community and healthcare associated infections were tested. They included147 Escherichia coli(40.8%), 116 Klebsiella spp(32.2%), 44 Pseudomo-nas aeruginosa(12.2%) and23 Proteus vulgaris (6.4%) isolates. Others were Acinetobacter baumannii, Serratia rubidae, Citrobacter spp, Enterobacter spp and Salmonella typhi. Disk diffusion antibiotic susceptibility testing was carried out, isolates were screened for ESBL production and confirmed using standard laboratory procedures. ESBLs resistance genes were identified by Polymerase Chain Reaction (PCR). Results: All isolates demonstrated multiple antibiotic resistance. Resistance to ampicillin, amoxicillin with clavulanate and erythromycin was 100%, whereas resistance to Imipenem was very low (5.0%). : Overall prevalence of ESBL producers was 41.4% with Klebsiellaspp as the highest ESBL producing Enterobacteriacaea. ESBL producers were more prevalent among the hospital pathogens than community pathogens, 58% vs 29.5% (p=0.003). ESBL genes were detected in all ESBL producers with the blaCTX-Mgene predominating (47.0%) followed by blaTEM(30.9%) and blaSHVgene was the least, 22.1%. The blaCTX-Mgene was also the most prevalent in the healthcare pathogens (62%) but it accounted for only 25% in those of community origin. Conclusion: A high prevalence of ESBL producing gram negative organisms occurs both in healthcare and in the community in our environment with the CTX-M variant predominating. Efforts to control spread of these pathogens should be addressed.

scholarly journals Correlation between the Antibiotic Resistance Genes and Susceptibility to Antibiotics among the Carbapenem-Resistant Gram-Negative Pathogens

Antibiotics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 255
Author(s):  
Salma M. Abdelaziz ◽  
Khaled M. Aboshanab ◽  
Ibrahim S. Yahia ◽  
Mahmoud A. Yassien ◽  
Nadia A. Hassouna
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Efflux Pump ◽  
Antibiotic Resistance Genes ◽  
Multiple Drug ◽  
P Value ◽  
Multidrug Efflux ◽  
Multidrug Efflux Pump ◽  
Gram Negative ◽  
Carbapenem Resistant

In this study, the correlation between the antibiotic resistance genes and antibiotic susceptibility among the carbapenem-resistant Gram-negative pathogens (CRGNPs) recovered from patients diagnosed with acute pneumonia in Egypt was found. A total of 194 isolates including Klebsiella pneumoniae (89; 46%), Escherichia coli (47; 24%) and Pseudomonas aeruginosa (58; 30%) were recovered. Of these, 34 (18%) isolates were multiple drug resistant (MDR) and carbapenem resistant. For the K. pneumoniae MDR isolates (n = 22), blaNDM (14; 64%) was the most prevalent carbapenemase, followed by blaOXA-48 (11; 50%) and blaVIM (4; 18%). A significant association (p value < 0.05) was observed between the multidrug efflux pump (AcrA) and resistance to β-lactams and the aminoglycoside acetyl transferase gene (aac-6’-Ib) gene and resistance to ciprofloxacin, azithromycin and β-lactams (except for aztreonam). For P. aeruginosa, a significant association was noticed between the presence of the blaSHV gene and the multidrug efflux pump (MexA) and resistance to fluoroquinolones, amikacin, tobramycin, co-trimoxazole and β-lactams and between the aac-6’-Ib gene and resistance to aminoglycosides. All P. aeruginosa isolates (100%) harbored the MexAB-OprM multidrug efflux pump while 86% of the K. pneumoniae isolates harbored the AcrAB-TolC pump. Our results are of great medical importance for the guidance of healthcare practitioners for effective antibiotic prescription.

scholarly journals Utilization of Vector Autoregressive and Linear Transfer Models to Follow Up the Antibiotic Resistance Spiral in Gram-negative Bacteria From Cephalosporin Consumption to Colistin Resistance

2018 ◽  
Vol 69 (8) ◽  
pp. 1410-1421 ◽  
Author(s):  
Hajnalka Tóth ◽  
Adina Fésűs ◽  
Orsolya Kungler-Gorácz ◽  
Bence Balázs ◽  
László Majoros ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Carbapenem Resistance ◽  
Gram Negative Bacteria ◽  
Vicious Cycle ◽  
Var Models ◽  
Gram Negative ◽  
Vector Autoregressive ◽  
E Coli ◽  
Cephalosporin Resistance ◽  
Klebsiella Spp

Abstract Background Increasing antibiotic resistance may reciprocally affect consumption and lead to use of broader-spectrum alternatives; a vicious cycle that may gradually limit therapeutic options. Our aim in this study was to demonstrate this vicious cycle in gram-negative bacteria and show the utility of vector autoregressive (VAR) models for time-series analysis in explanatory and dependent roles simultaneously. Methods Monthly drug consumption data in defined daily doses per 100 bed-days and incidence densities of gram-negative bacteria (Escherichia coli, Klebsiella spp., Pseudomonas aeruginosa, and Acinetobacter baumannii) resistant to cephalosporins or to carbapenems were analyzed using VAR models. These were compared to linear transfer models used earlier. Results In case of all gram-negative bacteria, cephalosporin consumption led to increasing cephalosporin resistance, which provoked carbapenem use and consequent carbapenem resistance and finally increased colistin consumption, exemplifying the vicious cycle. Different species were involved in different ways. For example, cephalosporin-resistant Klebsiella spp. provoked carbapenem use less than E. coli, and the association between carbapenem resistance of P. aeruginosa and colistin use was weaker than that of A. baumannii. Colistin use led to decreased carbapenem use and decreased carbapenem resistance of P. aeruginosa but not of A. baumannii. Conclusions VAR models allow analysis of consumption and resistance series in a bidirectional manner. The reconstructed resistance spiral involved cephalosporin use augmenting cephalosporin resistance primarily in E. coli. This led to increased carbapenem use, provoking spread of carbapenem-resistant A. baumannii and consequent colistin use. Emergence of panresistance is fueled by such antibiotic-resistance spirals.

scholarly journals Multi-Drug Resistant Gram-Negative Bacteria: Antibiotic-Resistance and New Treatment Strategies

2017 ◽  
Vol 02 (02) ◽  
Author(s):  
Maria Teresa Mascellino ◽  
Massimiliano De Angelis ◽  
Alessandra Oliva
Keyword(s):  
Antibiotic Resistance ◽  
Treatment Strategies ◽  
Gram Negative Bacteria ◽  
Drug Resistant ◽  
Gram Negative ◽  
New Treatment

scholarly journals Biocidal Agents Used for Disinfection Can Enhance Antibiotic Resistance in Gram-Negative Species

Antibiotics ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 110 ◽  
Author(s):  
Günter Kampf
Keyword(s):  
Antibiotic Resistance ◽  
Efflux Pump ◽  
Health Benefit ◽  
Cross Resistance ◽  
Gram Negative ◽  
Medline Search ◽  
Resistance To Antibiotics ◽  
Didecyldimethylammonium Chloride ◽  
Healthcare Associated ◽  
Sublethal Concentrations

Biocidal agents used for disinfection are usually not suspected to enhance cross-resistance to antibiotics. The aim of this review was therefore to evaluate the effect of 13 biocidal agents at sublethal concentrations on antibiotic resistance in Gram-negative species. A medline search was performed for each biocidal agent on antibiotic tolerance, antibiotic resistance, horizontal gene transfer, and efflux pump. In cells adapted to benzalkonium chloride a new resistance was most frequently found to ampicillin (eight species), cefotaxime (six species), and sulfamethoxazole (three species), some of them with relevance for healthcare-associated infections such as Enterobacter cloacae or Escherichia coli. With chlorhexidine a new resistance was often found to ceftazidime, sulfamethoxazole and imipenem (eight species each) as well as cefotaxime and tetracycline (seven species each). Cross-resistance to antibiotics was also found with triclosan, octenidine, sodium hypochlorite, and didecyldimethylammonium chloride. No cross-resistance to antibiotics has been described after low level exposure to ethanol, propanol, peracetic acid, polyhexanide, povidone iodine, glutaraldehyde, and hydrogen peroxide. Taking into account that some biocidal agents used in disinfectants have no health benefit (e.g., in alcohol-based hand rubs) but may cause antibiotic resistance it is obvious to prefer products without them.

scholarly journals MULTIPLE ANTIBIOTIC RESISTANCE INDEXING OF NON- FERMENTING GRAM NEGATIVE BACILLI

2017 ◽  
Vol 10 (6) ◽  
pp. 78
Author(s):  
Bhuvaneshwari Gunasekar
Keyword(s):  
Antibiotic Resistance ◽  
Tertiary Care ◽  
Multidrug Resistant ◽  
Diffusion Method ◽  
Care Hospital ◽  
Multiple Antibiotic Resistance ◽  
Antibiotic Resistant ◽  
Gram Negative ◽  
Mar Index ◽  
Surgery Department

Objective: The multiple antibiotic resistance (MAR) indexing and finding Multidrug resistant (MDR) bacteria will help to indicate the origin from high risk of contamination where the antibiotics are often used. Hence this study was carried out to give the MAR index of non-fermenting Gram negative bacilli in a tertiary care hospital which would help our infection control team also.Methods: Drug resistance was tested by Kirby bauer’s disc diffusion method. MAR index was calculated using the formula, a/b (were a= number of antibiotics to which the organism was resistant and b= total number of antibiotics to which the organism was tested).Results: Out of 240 Gram negative non-fermenters isolated, 117 (49%) strains were greater than 0.2 of MAR index, 95(81%) was from in-patient department. 73(62%) were hospitalized for more than 3 days, 44 (38%) was from surgery department. 49(42%) was wound specimen. Out of 117 multiple antibiotic resistant isolates 99 (85%) were MDR isolates.Conclusion: 51% prevalence of isolates >0.2 MAR index shows that the source of contamination can still be brought up down by proper surveillance and management with proper usage of  surface and skin disinfectants especially in surgery ward where the MAR index has indicated more usage of antibiotics

Survey on Antibiotic Resistance in Gram-Negative Non-Fermentative Bacteria Other than Pseudomonas in Italy

1994 ◽  
Vol 6 (1) ◽  
pp. 20-24 ◽  
Author(s):  
G. Nicoletti ◽  
S. Stefani
Keyword(s):  
Antibiotic Resistance ◽  
Gram Negative ◽  
Fermentative Bacteria

scholarly journals Analysis and forecasts of Salmonella spp. antibiotic resistance in Dnipropetrovsk region (Ukraine)

2019 ◽  
pp. 16-19
Author(s):  
H. A. Martynenko
Keyword(s):  
Antibiotic Resistance ◽  
Age Groups ◽  
Quantitative Information ◽  
Graphical Form ◽  
Salmonella Spp ◽  
Gram Negative ◽  
Trend Line ◽  
E Coli ◽  
Short Period ◽  
High Level

The paper presents data of the research aimed at studying the species composition of major pathogens circulating in the region and the resistance to antibacterial drugs in pathogens of salmonella, one of the most common zoonoses. Within the period 2014–2018 the qualitative composition of microflora from biological and pathological materials from different groups of animals was studied in Dnipropetrovsk region. Own research results and the results of the regional veterinary statistical reporting were analyzed. Within the short period of five years, 237 cultures of Gram-negative bacteria were detected and studied. The dominant agent in the studied region was E. coli (56.7%) from the Enterobacteriaceae family. The second most frequent agent in the pathology was Salmonella spp. (10.5%). In total, 29 cultures of salmonella infection were isolated from six species of animals with a predominance of bird isolates. Thus, for different age groups of poultry the most common were S. Gallinarum-Pullorum (56%) and S. Enteritidis (32%). An antibiotic resistance increase in pathogenic salmonella was observed for β-lactam antibiotics (cefazolin, ceftriaxone), aminoglycosides (gentamicin, streptomycin, kanamycin), as well as for tetracycline and polymyxin. Taking into consideration the high level of resistance against norfloxacin in the region’s dominant pathogens of the Enterobacteriaceae family, we performed a forecast in MS Excel graphically and added a trend line. In the course of work it was proved that the Dnipropetrovsk region is a geographic zone with a stable high (86 ± 3.7%) allocation from different groups of animals of Gram-negative microorganisms. It was found that local dominant pathogens are representatives of the Enterobacteriaceae family (E. coli, Salmonella spp.). This data can be used as surrogate resistance markers. The epizootological patterns of animal salmonellosis are determined. It is shown the possibility of forecasting the distribution of antibiotic resistant strains in MS Excel in graphical form by adding a trend line, using quantitative information on the sensitivity of bacteria. Prospects for further research are the prevention and control of the emergence of resistance to antibiotics in veterinary medicine and agriculture in the region and in the country

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