Study of clinicomicrobiological profile of infections in patients admitted to the intensive care unit
Background: In the absence of precise microbiological data, treatment is started with broad-spectrum antimicrobials, without discrimination as to the likely causative microorganisms resulting in ineffective therapy and increased antimicrobial resistance. The study was planned to know clinicomicrobio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2023-01-01
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| Series: | Journal of Clinical and Scientific Research |
| Subjects: | |
| Online Access: | http://www.jcsr.co.in/article.asp?issn=2277-5706;year=2023;volume=12;issue=5;spage=38;epage=42;aulast=Kaur |
| _version_ | 1797232766638620672 |
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| author | Harmandeep Kaur Veenu Gupta Rajesh Mahajan Jyoti Chaudhary |
| author_facet | Harmandeep Kaur Veenu Gupta Rajesh Mahajan Jyoti Chaudhary |
| author_sort | Harmandeep Kaur |
| collection | DOAJ |
| description | Background: In the absence of precise microbiological data, treatment is started with broad-spectrum antimicrobials, without discrimination as to the likely causative microorganisms resulting in ineffective therapy and increased antimicrobial resistance. The study was planned to know clinicomicrobiological profile of infections in patients admitted to ICU.
Methods: This prospective study was conducted for one year (January to December 2020). All the patients admitted to the medical ICU with evidence of infection after 48 h of admission were included in the study. The specimens received were cultured and the antimicrobial susceptibility pattern was determined according to standard protocol. The detailed clinical profile and risk factors were noted in these patients to correlate to the outcome. The data obtained were statistically analysed.
Results: Over a period of 1 year, 1039 patients were admitted to the medical ICU and infections were present in 105 patients with an infection rate of 10%. A total of 122 bacterial infections were characterised and 131 isolates were obtained. The most common isolate was Klebsiella spp.(24.4%), followed by Acinetobacter baumannii (22.9%) and Pseudomonas spp.(19.1%).
Conclusions: As the use of antibiotics has increased, it has led to increased antimicrobial resistance and knowledge of antimicrobial resistance patterns and the result of culture reports provides guidance for the treatment, thus improving the outcome of the patient. |
| first_indexed | 2024-04-24T16:05:30Z |
| format | Article |
| id | doaj.art-a94771d0a2d048358d07119d78496b9b |
| institution | Directory Open Access Journal |
| issn | 2277-5706 2277-8357 |
| language | English |
| last_indexed | 2024-04-24T16:05:30Z |
| publishDate | 2023-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Clinical and Scientific Research |
| spelling | doaj.art-a94771d0a2d048358d07119d78496b9b2024-04-01T05:54:17ZengWolters Kluwer Medknow PublicationsJournal of Clinical and Scientific Research2277-57062277-83572023-01-01125384210.4103/jcsr.jcsr_68_22Study of clinicomicrobiological profile of infections in patients admitted to the intensive care unitHarmandeep KaurVeenu GuptaRajesh MahajanJyoti ChaudharyBackground: In the absence of precise microbiological data, treatment is started with broad-spectrum antimicrobials, without discrimination as to the likely causative microorganisms resulting in ineffective therapy and increased antimicrobial resistance. The study was planned to know clinicomicrobiological profile of infections in patients admitted to ICU. Methods: This prospective study was conducted for one year (January to December 2020). All the patients admitted to the medical ICU with evidence of infection after 48 h of admission were included in the study. The specimens received were cultured and the antimicrobial susceptibility pattern was determined according to standard protocol. The detailed clinical profile and risk factors were noted in these patients to correlate to the outcome. The data obtained were statistically analysed. Results: Over a period of 1 year, 1039 patients were admitted to the medical ICU and infections were present in 105 patients with an infection rate of 10%. A total of 122 bacterial infections were characterised and 131 isolates were obtained. The most common isolate was Klebsiella spp.(24.4%), followed by Acinetobacter baumannii (22.9%) and Pseudomonas spp.(19.1%). Conclusions: As the use of antibiotics has increased, it has led to increased antimicrobial resistance and knowledge of antimicrobial resistance patterns and the result of culture reports provides guidance for the treatment, thus improving the outcome of the patient.http://www.jcsr.co.in/article.asp?issn=2277-5706;year=2023;volume=12;issue=5;spage=38;epage=42;aulast=Kaurantimicrobial susceptibility testinginfectionsmedical intensive care unit |
| spellingShingle | Harmandeep Kaur Veenu Gupta Rajesh Mahajan Jyoti Chaudhary Study of clinicomicrobiological profile of infections in patients admitted to the intensive care unit Journal of Clinical and Scientific Research antimicrobial susceptibility testing infections medical intensive care unit |
| title | Study of clinicomicrobiological profile of infections in patients admitted to the intensive care unit |
| title_full | Study of clinicomicrobiological profile of infections in patients admitted to the intensive care unit |
| title_fullStr | Study of clinicomicrobiological profile of infections in patients admitted to the intensive care unit |
| title_full_unstemmed | Study of clinicomicrobiological profile of infections in patients admitted to the intensive care unit |
| title_short | Study of clinicomicrobiological profile of infections in patients admitted to the intensive care unit |
| title_sort | study of clinicomicrobiological profile of infections in patients admitted to the intensive care unit |
| topic | antimicrobial susceptibility testing infections medical intensive care unit |
| url | http://www.jcsr.co.in/article.asp?issn=2277-5706;year=2023;volume=12;issue=5;spage=38;epage=42;aulast=Kaur |
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