Antimicrobial Susceptibility Pattern of Pseudomonas aeruginosa Isolated from Patients Referring to Hospitals
Notice bibliographique
Résumé
Please cite this article as: Golshani Z, Ahadi AM, Sharifzadeh A. Antimicrobial Susceptibility Pattern of Pseudomonas aeruginosa Isolated from Patients Referring to Hospitals. Arch Hyg Sci 2012;1(2):48-53. Abstract: Background & Aims of the Study: The aim of this study was to detect and survey the antibiotic resistance pattern of Pseudomonas (P.) aeruginosa isolated from patients in Isfahan (located in central Iran) hospitals. Materials & Methods : A Total of 50 clinical isolates of P. aeruginosa were collected from urine, wound, trachea, ear swab, and pus, and then were confirmed by standard tests. Antibiotic susceptibility was determined by the Kirby-Bauer disc diffusion method. Susceptibility data were compared by chi-square test using SPSS version 15. Results: Among the isolated strains, resistance to oxacillin was seen in 100%, ceftriaxone in 76%, amikacin in 70%, ceftazidime in 68%, cefepime in 68%, tobramycin in 62%, gentamicin in 60%, ciprofloxacin in 58%, and imipenem in 58% of the isolates. Conclusions: Comparison of the results showed that, patterns of antibiotic resistance are different from one hospital to another in various areas. Therefore, it is suggested that such studies should be performed in different hospitals. Also, prescribing correct medications is essential to prevent further increases in resistant bacteria. References: 1. Pagani L, Mantengoli E, Migliavacca R, Nucleo E, Pollini S, Spalla M, et al. Multifocal Detection of Multidrug-Resistant Pseudomonas aeruginosa Producing the PER-1 Extended- Spectrum β-Lactamase in Northern Italy. J Clin Microbiol 2004;42(6):2523–9. 2. Ling TKW, Xiong J, Yu Y, Lee CC, Ye H, Hawkey PM, et al. Multicenter Antimicrobial Susceptibility Survey of Gram-Negative Bacteria Isolated from Patients with Community-Acquired Infections in the People's Republic of China. Antimicrob Agents Chemother 2006;50(1):374–8. 3. Gupta V, Datta P, Agnihotri N, Chander J. Comparative in vitro Activities of Seven New beta-Lactams, Alone and in Combination with beta-Lactamase Inhibitors, Against Clinical Isolates Resistant to Third Generation Cephalosporins. Braz J Infect Dis 2006;10(1):22-5. 4. Lister PD, Wolter DJ, Hanson ND. Antibacterial-Resistant Pseudomonas aeruginosa : Clinical Impact and Complex Regulation of Chromosomally Encoded Resistance Mechanisms. Clin Microbiol Rev 2009;22(4):582–610. 5. Shahid M, Malik A. Plasmid mediated amikacin resistance in clinical isolates of Pseudomonas aeruginosa . Indian J Med Microbiol 2004;22(3):182-4. 6. Song W, Woo HJ, Kim JS, Lee KM. In vitro activity of beta-lactams in combination with other antimicrobial agents against resistant strains of Pseudomonas aeruginosa . Int J Antimicrobiol Agents 2003;21(1):8-12. 7. Brown PD, Izundu A. Antibiotic resistance in clinical isolates of Pseudomonas aeruginosa in Jamaica. Rev Panam Salud Publica/Pan Am J Public Health 2004;16(2):125-30. 8. Dundar D, Otkun M. In-Vitro Efficacy of Synergistic Antibiotic Combinations in Multidrug Resistant Pseudomonas Aeruginosa Strains. Yonsei Med J 2010;51(1):111-6. 9. Tam VH, Chang KT, Abdelraouf K, Brioso CG, Ameka M, McCaskey LA, et al. Prevalence, Resistance Mechanisms, and Susceptibility of Multidrug-Resistant Bloodstream Isolates of Pseudomonas aeruginosa . Antimicrob Agents Chemother 2010;54(3):1160-4. 10. Mirsalehian A, Feizabadi M, Nakhjavani FA, Jabalameli F, Goli H, Kalantari N. Detection of VEB-1, OXA-10 and PER-1genotypes in extended-spectrum beta-lactamase- producing Pseudomonas aeruginosa strains isolated from burn patients. Burns.2010;36(1):70-4. 11. Patzer JA, Dzierzanowska D. Increase of imipenem resistance among Pseudomonas aeruginosa isolates from a Polish paediatric hospital (1993-2002). Int J Antimicrob Agents 2007;29(2):153-8. 12. Walkty A, Decorby M, Nichol K, Mulvey MR, Hoban D, Zhanel G; Canadian Antimicrobial Resistance Alliance. Antimicrobial susceptibility of Pseudomonas aeruginosa isolates obtained from patients in Canadian intensive care units as part of the Canadian National Intensive Care Unit study. Diagn Microbiol Infect Dis 2008;61(2):217-21. 13. Livermore DM. Of Pseudomonas , porins, pumps and carbapenems. J Antimicrob Chemother 2001;47(3):247-50. 14. Navneeth BV, Sridaran D, Sahay D, Belwadi MR. A preliminary study on metalloβ- lactamase producing Pseudomonas aeruginosa in hospitalized patients. Indian J Med Res 2002;116:26, 4-7. 15. Büscher KH, Cullmann W, Dick W, Opferkuch W. Imipenem resistance in Pseudomonas aeruginosa resulting from diminished expression of an outer membrane protein. Antimicrob Agents Chemother 1987;31(5):703–8. 16. Strateva T, Ouzounova-Raykova V, Markova B, Todorova A, Marteva-Proevska Y, Mitov I. Problematic clinical isolates of Pseudomonas aeruginosa from the university hospitals in Sofia, Bulgaria: current status of antimicrobial resistance and prevailing resistance mechanisms. J Med Microbiol 2007;56(7):956-63. 17. Mohajeri P. Antibiotic susceptibility and resistance patterns of pseudomonas aeruginosa strains isolated from different clinical specimens in patients referred to the teaching hospitals in Kermanshah (2001-2). Behbood Res J Kermanshah Univ Med Sci 2004;7(4):11-20. (Full Text in Persian) 18. Streit JM, Jones RN, Sader HS, Fritsche TR. Assessment of pathogen occurrences and resistance profiles among infected patients in the intensive care unit: report from the Sentry Antimicrobial Surveillance Program (North America, 2001). Int J Antimicrob Agents 2004;24(2):111-8. 19. Shacheraghi F, Shakibaie MR, Noveiri H. Molecular Identification of ESBL Genes blaGES-1, blaVEB-1, blaCTX-M blaOXA-1, blaOXA-4, blaOXA-10 and blaPER-1 in Pseudomonas aeruginosa Strains Isolated from Burn Patients by PCR, RFLP and Sequencing Techniques. Int J Biol life Sci 2010;3(6):138-42. 20. Fazeli H, Moslehi Tekantapeh Z, Irajian GHR, Salehi M. Determination of drug resistance patterns and detection of bla-vim gene in pseudomonas aeruginosa strains isolated from burned patients in the Imam Mosa Kazem Hospital, Esfahan, Iran (2008-9). Iran J Med Microbiol 2010;3(4);1-8. (Full Text in Persian) 21. Rahimi B, Shojapour M, Sadeghi A, Pourbabayi A. The study of the antibiotic resistance pattern of Pseudomonas aeruginosa strains isolated from hospitalized patients in Arak. Arak Univ Med Sci J 2012;15(3):8-14. (Full Text in Persian) 22. Forozesh Fard M, Irajian G, Moslehi Takantape Z, Fazeli H, Salehi M, Rezania S. Drug resistance pattern of Pseudomonas aeruginosa strains isolated from cystic fibrosis patients at Isfahan AL Zahra hospital, Iran (2009-2010). Iran J Microbiol 2012;4(2):94-7. (Full Text in Persian) 23. Rajat Rakesh M, Ninama Govind L, Mistry K, Parmar R, Patel K, Vegad MM, Antibiotic resistance pattern in Pseudomonas aeruginosa species isolated at a tertiary care hospital, Ahmadabad. Natl J Med Res 2012;2(2):156-9.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».