High risk for latent tuberculosis infection among medical residents and nursing students in India Article Swipe
Aarti Kinikar
,
Ajay Chandanwale
,
Dileep Kadam
,
Samir Joshi
,
Anita Basavaraj
,
Geeta Pardeshi
,
Sunita Girish
,
Sangeeta Shelke
,
Andrea N. DeLuca
,
Gauri Dhumal
,
Jonathan E. Golub
,
Nilima Lokhande
,
Nikhil Gupte
,
Amita Gupta
,
Robert C. Bollinger
,
Vidya Mave
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0219131
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0219131
Defining occupational latent tuberculosis infection (LTBI) risk among healthcare workers is needed to support implementation of prevention guidelines. Prospective cohort study of 200 medical residents and nursing students in India was conducted May 2016-December 2017. Tuberculin skin test (TST) and QuantiFERON TB Gold Test-in-tube (QFT-GIT) were performed at study entry and 12 months. Primary outcome was incident LTBI (≥10mm TST induration and/or ≥0.35IU/mL QFT-GIT) at 12 months; secondary outcomes included baseline LTBI prevalence and risk factors for incident and prevalent LTBI using Poisson regression. Among 200, [90 nursing students and 110 medical residents], LTBI prevalence was 30% (95% CI, 24-37); LTBI incidence was 26.8 (95% CI, 18.6-37.2) cases per 100 person-years and differed by testing method (28.7 [95% CI, 20.6-38.9] vs 17.4 [95% CI, 11.5-25.4] cases per 100 person-years using TST and QFT-GIT, respectively). Medical residents had two-fold greater risk of incident LTBI than nursing students (Relative Risk, 2.16; 95% CI, 1.05-4.42). During study period 6 (3%) HCWs were diagnosed with active TB disease. Overall, median number of self-reported TB exposures was 5 (Interquartile Range, 1-15). Of 60 participants with prevalent and incident LTBI who were offered free isoniazid preventive therapy (IPT), only 2 participants initiated and completed IPT. High risk for LTBI was noted among medical residents compared to nursing students. Self-reported TB exposure is underreported, and uptake of LTBI prevention therapy remains low. New approaches are needed to identify HCWs at highest risk for LTBI.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0219131
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0219131&type=printable
- OA Status
- gold
- Cited By
- 35
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2960776671
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2960776671Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0219131Digital Object Identifier
- Title
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High risk for latent tuberculosis infection among medical residents and nursing students in IndiaWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-08Full publication date if available
- Authors
-
Aarti Kinikar, Ajay Chandanwale, Dileep Kadam, Samir Joshi, Anita Basavaraj, Geeta Pardeshi, Sunita Girish, Sangeeta Shelke, Andrea N. DeLuca, Gauri Dhumal, Jonathan E. Golub, Nilima Lokhande, Nikhil Gupte, Amita Gupta, Robert C. Bollinger, Vidya MaveList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0219131Publisher landing page
- PDF URL
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0219131&type=printableDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0219131&type=printableDirect OA link when available
- Concepts
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Medicine, Latent tuberculosis, Interquartile range, Tuberculin, Tuberculosis, Poisson regression, Incidence (geometry), Internal medicine, Mycobacterium tuberculosis, Environmental health, Population, Optics, Physics, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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35Total citation count in OpenAlex
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2025: 3, 2024: 7, 2023: 8, 2022: 5, 2021: 6Per-year citation counts (last 5 years)
- References (count)
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23Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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