Hospital-acquired and Community-acquired Uropathogens; Modelling of Infection
Urinary tract infections are among the most common human infections. They may be community-acquired or nosocomial, and caused by a variety of microorganisms. In the present study, we analysed more than 4000 urine samples collected from in-patients and outpatients, and registered the differences in t...
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| Format: | Article |
| Language: | English |
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Academic Publishing House
2005-12-01
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| Series: | Bioautomation |
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| Online Access: | http://www.clbme.bas.bg/bioautomation/2005/vol_3.1/files/3_4.2.pdf |
| _version_ | 1811245823201116160 |
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| author | Aija ?ilevi?a |
| author_facet | Aija ?ilevi?a |
| author_sort | Aija ?ilevi?a |
| collection | DOAJ |
| description | Urinary tract infections are among the most common human infections. They may be community-acquired or nosocomial, and caused by a variety of microorganisms. In the present study, we analysed more than 4000 urine samples collected from in-patients and outpatients, and registered the differences in the etiological spectrum of agents. The most widespread uropathogens are gram-negative rods, from them E. coli, Klebsiella spp. and the non-fermentive genus Pseudomonas. Women are more intensively affected by E. coli. From gram-positive cocci, the leading agents are coagulase negative Staphylococci, followed by S. aureus. No differences were registered between the genders. Polyresistance among gram-negative uropathogens is high. |
| first_indexed | 2024-04-12T14:44:04Z |
| format | Article |
| id | doaj.art-1c1ce1581b044644bab48fc76f81c93c |
| institution | Directory Open Access Journal |
| issn | 1313-261X 1312-451X |
| language | English |
| last_indexed | 2024-04-12T14:44:04Z |
| publishDate | 2005-12-01 |
| publisher | Academic Publishing House |
| record_format | Article |
| series | Bioautomation |
| spelling | doaj.art-1c1ce1581b044644bab48fc76f81c93c2022-12-22T03:28:42ZengAcademic Publishing HouseBioautomation1313-261X1312-451X2005-12-01316367Hospital-acquired and Community-acquired Uropathogens; Modelling of InfectionAija ?ilevi?aUrinary tract infections are among the most common human infections. They may be community-acquired or nosocomial, and caused by a variety of microorganisms. In the present study, we analysed more than 4000 urine samples collected from in-patients and outpatients, and registered the differences in the etiological spectrum of agents. The most widespread uropathogens are gram-negative rods, from them E. coli, Klebsiella spp. and the non-fermentive genus Pseudomonas. Women are more intensively affected by E. coli. From gram-positive cocci, the leading agents are coagulase negative Staphylococci, followed by S. aureus. No differences were registered between the genders. Polyresistance among gram-negative uropathogens is high.http://www.clbme.bas.bg/bioautomation/2005/vol_3.1/files/3_4.2.pdf Urinary tract infectionGram-positive cocciGram-negative rodsAntimicrobial susceptibilityPolyresistance |
| spellingShingle | Aija ?ilevi?a Hospital-acquired and Community-acquired Uropathogens; Modelling of Infection Bioautomation Urinary tract infection Gram-positive cocci Gram-negative rods Antimicrobial susceptibility Polyresistance |
| title | Hospital-acquired and Community-acquired Uropathogens; Modelling of Infection |
| title_full | Hospital-acquired and Community-acquired Uropathogens; Modelling of Infection |
| title_fullStr | Hospital-acquired and Community-acquired Uropathogens; Modelling of Infection |
| title_full_unstemmed | Hospital-acquired and Community-acquired Uropathogens; Modelling of Infection |
| title_short | Hospital-acquired and Community-acquired Uropathogens; Modelling of Infection |
| title_sort | hospital acquired and community acquired uropathogens modelling of infection |
| topic | Urinary tract infection Gram-positive cocci Gram-negative rods Antimicrobial susceptibility Polyresistance |
| url | http://www.clbme.bas.bg/bioautomation/2005/vol_3.1/files/3_4.2.pdf |
| work_keys_str_mv | AT aijailevia hospitalacquiredandcommunityacquireduropathogensmodellingofinfection |