| Literature DB >> 16138814 |
Abstract
The ongoing problem of emerging antimicrobial resistance has been likened to a balloon where settling one specific issue results in a 'bulge' of even worse problems. However, much has been learned about how to best use our critical antibacterial agents in ways to avoid or even repair some of the resistance damage that has been done. A compilation of current literature strongly suggests that to slow the development of resistance to antimicrobial agents it is optimal to use drugs with more than one mechanism of action or target, to prescribe those with demonstrated ability to minimise or reverse resistance problems, and to avoid underdosing of potent antibiotics. The most recent information also indicates that it is best to limit empirical use of beta-lactam plus fluoroquinolone combination therapy, since these two classes activate some common resistance responses, and using them together can facilitate multidrug resistance in important pathogens, particularly Pseudomonas aeruginosa and Acinetobacter species. This review discusses the role of each major antimicrobial class on resistance development and presents specific strategies for combating the growing problem of multidrug-resistant bacteria. We now have the knowledge to better manage our antimicrobial agent prescribing practices, but finding the will and resources to apply our understanding remains a formidable challenge.Entities:
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Year: 2005 PMID: 16138814 PMCID: PMC7128169 DOI: 10.1111/j.1469-0691.2005.01238.x
Source DB: PubMed Journal: Clin Microbiol Infect ISSN: 1198-743X Impact factor: 8.067
Recommendations (with ratingsa) for management of antimicrobial agent resistance
| Problem | Useful solution | Rating | References |
|---|---|---|---|
High level | Reduce | BIII | [ |
High level of fluoroquinolone-resistant | Reduce fluoroquinolone use and change primary drug to ciprofloxacin | AI | [ |
High level of carbapenem-resistant | Reduce carbapenem use and assess for clonal problem | AII | [ |
High level of β-lactam resistance in | Reduce extended-spectrum cephalosporin use and replace with piperacillin–tazobactam | BIII | [ |
High level of ESBL-producing Enterobacteriaceae | Reduce extended-spectrum cephalosporin use and replace with piperacillin–tazobactam or imipenem–cilastatin or ampicillin–sulbactam | AI | [ |
High level of gentamicin–tobramycin resistance in Enterobacteriaceae | Replace with amikacin | AI | [ |
Concern over presence of VRE | Reduce cephalosporin and fluoroquinolone use and replace with piperacillin–tazobactam | AI | [ |
Concern over presence of MRSA | Reduce cephalosporin and fluoroquinolone use, and replace with a β-lactamase inhibitor drug | BIII | [ |
Concern over presence of | Reduce cephalosporin, clindamycin and fluoroquinolone use and replace with:
piperacillin–tazobactam or ticarcillin–clavulanate | AI and BIII, respectively, for (a) or (b) | [ |
ESBL, extended-spectrum β-lactamase; VRE, vancomycin-resistant enterococci; MRSA, methicillin-resistant Staphylococcus aureus.
Ratings follow the convention recommended by the Infectious Diseases Society of America for the evidence to support each recommendation [99].
High level indicates resistance exceeding 10% of recovered strains.
A reduction is represented by a lowering of prescribing by at least 50%(based on defined daily doses (DDD)/1000 patient-days) with a goal of using less than 15 DDD/1000 patient-days of the likely offending agent. (Note: If use when the problem is detected is below 15 DDD/1000 patient-days, then the affected agent/class is not likely to be responsible for the resistance problem.)
Rating guide for recommendations contained in Table 1 (adapted from the guideline developed by the Infectious Diseases Society of America [99])
Strength of recommendation
Good evidence to support a recommendation Moderate evidence to support a recommendation Poor evidence to support a recommendation Quality of evidence
Evidence from at least one properly designed, prospective clinical trial as well as additional corroborating retrospective analyses Evidence from more than one cohort or case-controlled analytical study or from multiple time-series; these may be supported by results from uncontrolled observations Evidence from opinions of respected authorities, based on clinical experience, descriptive studies, or reports of expert committees |