Antimicrobial resistance in Pseudomonas aeruginosa from Malaysia
Journal name: The Malaysian Journal of Medical Sciences
Original article title: Antimicrobial susceptibility of clinical isolates of Pseudomonas aeruginosa from a Malaysian Hospital
The Malaysian Journal of Medical Sciences (MJMS) is a peer-reviewed, open-access journal published online at least six times a year. It covers all aspects of medical sciences and prioritizes high-quality research.
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Original source:
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Siva Gowri Pathmanathan, Nor Azura Samat, Ramelah Mohamed
The Malaysian Journal of Medical Sciences:
(A peer-reviewed, open-access journal)
Full text available for: Antimicrobial susceptibility of clinical isolates of Pseudomonas aeruginosa from a Malaysian Hospital
Year: 2009
Copyright (license): CC BY 4.0
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Summary of article contents:
Introduction
Pseudomonas aeruginosa is a gram-negative aerobic bacterium noted for its intrinsic resistance to various antimicrobial agents, making it a significant opportunistic pathogen. The rise of drug resistance in P. aeruginosa clinical isolates is a global concern, necessitating consistent monitoring of its susceptibility patterns to guide clinical therapy effectively. This study aimed to assess the in vitro activity of eight antimicrobial drugs against 97 clinical isolates collected from a Malaysian hospital while also evaluating the concordance between E-test and disk diffusion methods for antimicrobial susceptibility testing.
Importance of Antimicrobial Surveillance
Antimicrobial susceptibility testing revealed that piperacillin-tazobactam exhibited the highest activity against P. aeruginosa, showing a susceptibility rate of 91.8%, followed by aminoglycosides like amikacin and gentamicin, and other classes such as quinolone and beta-lactams. The study identified a 19.6% incidence of multidrug resistance among the isolates, with various resistance patterns described across different antimicrobial classes. Notably, respiratory and wound swab specimens accounted for the majority of the isolates, underscoring the need for periodic antibiotic resistance surveillance to understand local trends and combat the rising resistance levels effectively.
Conclusion
The findings from this study emphasize the critical necessity for ongoing surveillance of antimicrobial resistance patterns in clinical settings. The high concordance between the E-test and disk diffusion methods suggests that both testing approaches are reliable for determining antimicrobial susceptibility, albeit with different advantages. Given the increasing resistance rates observed, particularly in respiratory isolates, it is imperative that healthcare practitioners engage in prudent antibiotic usage and that robust monitoring mechanisms are established to track and address emerging resistance trends in P. aeruginosa.
FAQ section (important questions/answers):
What was the purpose of the study on Pseudomonas aeruginosa?
The study aimed to assess the in vitro activity levels of eight antimicrobial agents against clinical isolates of Pseudomonas aeruginosa and evaluate the concordance between E-test and disk diffusion methods for antimicrobial susceptibility testing.
How many clinical isolates of Pseudomonas aeruginosa were collected?
A total of 97 clinical isolates of Pseudomonas aeruginosa were collected over three months in 2007 from various wards at the Kuala Lumpur Hospital in Malaysia.
What were the most commonly encountered antimicrobial agents in the study?
Piperacillin-tazobactam exhibited the highest susceptibility at 91.8%, followed by aminoglycosides like amikacin and gentamicin, quinolone, and beta-lactams, with varying susceptibility rates.
What was the incidence of multidrug resistance observed in the isolates?
The incidence of multidrug resistance among the isolates was 19.6%, indicating resistance to multiple classes of antimicrobial agents, affecting 19 out of the 97 isolates.
Glossary definitions and references:
Scientific and Ayurvedic Glossary list for “Antimicrobial resistance in Pseudomonas aeruginosa from Malaysia”. This list explains important keywords that occur in this article and links it to the glossary for a better understanding of that concept in the context of Ayurveda and other topics.
1) Study (Studying):
The keyword 'Study' refers to the systematic investigation conducted in the context of antimicrobial resistance in clinical isolates of Pseudomonas aeruginosa. It emphasizes the importance of ongoing surveillance to monitor susceptibility patterns, thereby guiding clinicians in making informed choices regarding empirical and directed antimicrobial therapy in healthcare settings.
2) Drug:
The term 'Drug' pertains to the various antimicrobial agents assessed in the study, specifically eight drugs evaluated for their in vitro efficacy against Pseudomonas aeruginosa. The findings underscore the critical role of these drugs in treating infections, highlighting the need for continuous evaluation of resistance patterns to preserve their effectiveness.
3) Table:
The keyword 'Table' signifies the structured presentation of data in the study, particularly in summarizing the antimicrobial susceptibility results. Tables provide a clear and concise format for displaying quantitative information, such as susceptibility rates and MIC values, aiding in the interpretation of complex data regarding Pseudomonas aeruginosa resistance.
4) Antibiotic (Antibacterial):
The keyword 'Antibacterial' pertains to agents that combat bacterial infections, specifically those evaluated against Pseudomonas aeruginosa in this study. Understanding the performance of antibacterial agents is pivotal for developing effective treatment regimens for infections, especially amid the rising trend of antibiotic resistance observed in clinical isolates.
5) Activity:
In this context, 'Activity' refers to the effectiveness of the antimicrobial drugs against Pseudomonas aeruginosa isolates. The term indicates the extent to which these agents can inhibit or kill the bacteria, which is primarily measured through susceptibility testing methods, ultimately influencing treatment decisions for patients with infections.
6) Kappa:
The term 'Kappa' in this study relates to a statistical measure of agreement between two methods of assessing antimicrobial susceptibility, namely the E-test and the disk diffusion method. A high Kappa value indicates a strong concordance, supporting the reliability of the susceptibility testing methods used in clinical microbiology.
7) Beta (Bēṭa, Beṭa):
The term 'Beta' refers to the class of beta-lactam antibiotics, which includes drugs like cefepime and ceftazidime evaluated in the study. Understanding the activity and resistance patterns of beta-lactams is crucial in managing infections caused by Pseudomonas aeruginosa, as they are frequently used in clinical practice for treating such infections.
8) Medicine:
The keyword 'Medicine' in this context reflects the broader field within which the study operates, particularly related to clinical microbiology and infectious disease management. It underscores the importance of understanding antimicrobial resistance patterns to ensure effective treatment options are available in the medical community and improve patient outcomes.
9) Cina (Cīna, Cīnā, Ciṉa, Ciṉā, Cīṉā, Cinā):
The mention of 'China' in the abstract highlights previous studies and international efforts on antimicrobial susceptibility relative to the global landscape of drug resistance. The mention contextualizes the relevance of the findings in Malaysia in relation to data from other countries, demonstrating how antibiotic resistance is a worldwide concern in clinical settings.
10) Burning (Burn, Burned, Burnt):
The term 'Burn' refers to the specific ward from which clinical isolates were obtained in the study. Clinical context is essential for understanding the source of infections and resistance patterns, as patients with specific conditions, such as burn injuries, may present unique challenges regarding antimicrobial susceptibility and treatment strategies.
11) Performance:
In this study, 'Performance' relates to how well the antimicrobial susceptibility testing methods function, particularly in discerning the effectiveness of various antibiotics. Evaluating the performance of testing techniques is crucial to ensure accurate results that inform treatment decisions and patient management in clinical infectious diseases.
12) Agnihotrin (Agnihotrī, Agnihotṛ, Agnihōtrī, Agnihotri, Agni-hotrin, Agni-hotri):
In this context, 'Agnihotri' references a previous researcher's contributions to the field of antimicrobial resistance, indicating the interconnected nature of research in understanding susceptibility patterns. Citing findings from other researchers provides a broader context to the current study, thereby enriching the scientific discourse on Pseudomonas aeruginosa resistance.
13) Teaching:
The term 'Teaching' in this context pertains to a 'teaching hospital' environment where the study was conducted. This aspect highlights the educational role of such institutions in training medical professionals while contributing to research on antimicrobial resistance, emphasizing the link between clinical practice, education, and research.
14) Sharman (Śarma, Sarmā, Sarma, Sharma, Śarman):
The mention of 'Sharma' indicates another researcher whose work is referenced in the broader context of antimicrobial susceptibility studies. Recognizing contributions helps support the credibility of the current study findings while fostering collaborative efforts within the scientific community in addressing issues related to bacterial resistance.
15) Indian:
The keyword 'Indian' likely relates to previous studies and findings pertinent to antimicrobial resistance in India. This context emphasizes the global nature of the challenge posed by drug-resistant bacteria, demonstrating that researchers worldwide must address the emerging trends in resistance in various geographic and demographic settings.
16) Gupta (Guptā):
The term 'Gupta' references a researcher whose findings contribute to the understanding of antimicrobial susceptibility and resistance patterns. By acknowledging prior research, the current study not only builds upon existing knowledge, but also reinforces the need for comprehensive surveillance data across different regions to inform treatment practices.
17) Blood:
The term 'Blood' signifies one of the specimen types assessed for Pseudomonas aeruginosa isolates in the study. Blood cultures are critical in diagnosing infections and understanding resistance patterns relevant to bloodstream infections, encapsulating the significance of continuous monitoring for effective treatment in critically ill patients.
18) Raja (Rāja, Rājā):
The keyword 'Raja' refers to a researcher whose study on antimicrobial susceptibility patterns contributes to the body of knowledge in the field. Mentioning individual researchers like Raja helps to integrate the findings of this study into the existing literature, contextualizing the significance of local data in a global perspective.
19) Sign:
The term 'Sign' emphasizes statistical significance, reflecting the importance of results in revealing substantial trends or correlations within the data. Significance affects clinical interpretations and decisions, particularly in assessing antimicrobial resistance patterns essential for effective treatment strategies in managing Pseudomonas aeruginosa infections.
20) Line:
The term 'Line' may refer to the methodology or a particular guideline followed in the context of antimicrobial susceptibility testing. It underscores the structured approach taken in the study, adhering to established standards to ensure accurate and reliable results in determining resistance patterns of clinical isolates.
Other Science Concepts:
Discover the significance of concepts within the article: ‘Antimicrobial resistance in Pseudomonas aeruginosa from Malaysia’. Further sources in the context of Science might help you critically compare this page with similair documents:
Statistical analysis, Technical Assistance, Clinical condition, Minimum inhibitory concentration, Antimicrobial agent, Drug resistance, Antimicrobial Resistance, Multidrug resistance, Pseudomonas aeruginosa, Antibiotic resistance, Respiratory tract, Ceftazidime, Antimicrobial susceptibility testing, Antibacterial agent, Clinical and Laboratory Standards Institute, Ciprofloxacin, Empirical therapy, In vitro activity, Clinical isolate, Spearman's rank correlation, Antimicrobial susceptibility, Meropenem, Opportunistic human pathogen, Opportunistic pathogen, Hospital setting, Disk diffusion method, Multidrug resistant isolates, MIC value, Antimicrobial surveillance, Susceptibility pattern, Gentamicin, Imipenem, Aminoglycosides, Laboratory methods, MIC, Susceptibility testing, Hospital surveillance, Public health implication, E-test method, Amikacin, Antimicrobial Drug, Beta lactams, Antimicrobial susceptibility pattern, Tertiary Referral Hospital, Quinolone, Community-acquired infection, Specimen type, Research grant, Gram-negative rod, Resistance pattern, Comparative activities, Antibiotic Resistance Surveillance, Kappa value.