A MYCOLOGICAL STUDY OF CLINICAL SAMPLES FROM SUSPECTED MYCOSES IN A TERTIARY CARE HOSPITAL Article Swipe
YOU?
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· 2018
· Open Access
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· DOI: https://doi.org/10.22159/ajpcr.2018.v11i4.24127
Objective: The objective of this study was to isolate and identify the fungal agents obtained from clinical samples of suspected mycoses patients attending Yenepoya hospital.Methods: Various clinical samples obtained from patients were subjected to preliminary examination according to standard mycological protocols such as KOH mount, wet mount, Gram’s staining, and Indian ink examination. Causative organisms were identified by macroscopically and microscopically after growth on sabouraud’s dextrose agar (with or without cycloheximide and chloramphenicol) and confirmed by lactophenol cotton blue mount, slide culture technique, urease test, and growth on chrome agar accordingly.Results: Of 274 clinical samples, 125 were culture positive in which the fungal isolates obtained were dermatophytes (all 3 genera), Candida species (including Candida albicans), Fusarium species, Aspergillus fumigatus, and Cryptococcus neoformans. Male predominance was found among the patients being 6:3 male:female ratio.Conclusion: Among the superficial infection, Trichophyton mentagrophytes was found to be predominant isolates; however, in systemic infection, C. albicans was the predominant isolates.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.22159/ajpcr.2018.v11i4.24127
- https://innovareacademics.in/journals/index.php/ajpcr/article/download/24127/14372
- OA Status
- diamond
- Cited By
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- References
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W2794527156Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.22159/ajpcr.2018.v11i4.24127Digital Object Identifier
- Title
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A MYCOLOGICAL STUDY OF CLINICAL SAMPLES FROM SUSPECTED MYCOSES IN A TERTIARY CARE HOSPITALWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
-
2018-04-01Full publication date if available
- Authors
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Jitendra Chandra Devrari, Varsha Saxena, Vidya PaiList of authors in order
- Landing page
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https://doi.org/10.22159/ajpcr.2018.v11i4.24127Publisher landing page
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https://innovareacademics.in/journals/index.php/ajpcr/article/download/24127/14372Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://innovareacademics.in/journals/index.php/ajpcr/article/download/24127/14372Direct OA link when available
- Concepts
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Microbiology, Aspergillus fumigatus, Candida albicans, Cryptococcus neoformans, Biology, Trichophyton, Agar, Aspergillus, Fusarium, Chocolate agar, Cryptococcus, Gram staining, Agar plate, Antibiotics, Antifungal, Bacteria, Botany, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2022: 1, 2020: 1Per-year citation counts (last 5 years)
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13Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.to | 7, 33, 37, 141 |
| abstract_inverted_index.125 | 95 |
| abstract_inverted_index.274 | 92 |
| abstract_inverted_index.6:3 | 130 |
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| abstract_inverted_index.this | 4 |
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| abstract_inverted_index.culture | 81, 97 |
| abstract_inverted_index.isolate | 8 |
| abstract_inverted_index.mycoses | 20 |
| abstract_inverted_index.samples | 17, 27 |
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| abstract_inverted_index.Yenepoya | 23 |
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| abstract_inverted_index.isolates; | 144 |
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| abstract_inverted_index.protocols | 40 |
| abstract_inverted_index.staining, | 48 |
| abstract_inverted_index.subjected | 32 |
| abstract_inverted_index.suspected | 19 |
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| abstract_inverted_index.Objective: | 0 |
| abstract_inverted_index.albicans), | 114 |
| abstract_inverted_index.fumigatus, | 118 |
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| abstract_inverted_index.infection, | 136, 148 |
| abstract_inverted_index.technique, | 82 |
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| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
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| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |