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Predicting the risk of pulmonary tuberculosis based on the neutrophil-to-lymphocyte ratio at TB screening in HIV-infected individuals.
- Source :
- BMC Infectious Diseases; 7/29/2019, Vol. 19 Issue 1, pN.PAG-N.PAG, 1p, 1 Diagram, 3 Charts, 1 Graph
- Publication Year :
- 2019
-
Abstract
- <bold>Background: </bold>The neutrophil to lymphocyte ratio (NL ratio) has been reported to be a predictive biomarker of tuberculosis (TB). We assessed the association between the NL ratio and the incidence of active TB cases within 1 year after TB screening among HIV-infected individuals in Thailand.<bold>Methods: </bold>A day care center that supports HIV-infected individuals in northernmost Thailand performed TB screening and follow-up visits. We compared the baseline characteristics between the TB screening positive group and the TB screening negative group. The threshold value of NL ratio was determined by cubic-spline curves and NL ratios were categorized as high or low NL ratio. We assessed the association between NL ratio and progression to active TB within 1-year using the Cox-proportional hazard model.<bold>Results: </bold>Of the 1064 HIV-infected individuals who screened negative for TB at baseline, 5.6% (N = 60) eventually developed TB and 26 died after TB diagnosis. A high NL ratio was associated with a higher risk of TB (adjusted hazard ratio (aHR) 2.19, 95% CI: 1.23-3.90), after adjusting for age, sex, ethnicity, CD4 counts, and other risk factors. A high NL ratio in HIV-infected individuals with normal chest X-ray predicted TB development risk. In particular, a high NL ratio with TB symptoms could predict the highest risk of TB development (aHR 2.58, 95%CI: 1.07-6.23).<bold>Conclusions: </bold>Our results showed that high NL ratio increased the risk of TB. NL ratio combined with TB symptoms could increase the accuracy of TB screening among HIV-infected individuals. [ABSTRACT FROM AUTHOR]
- Subjects :
- TUBERCULOSIS
DAY care centers
PROPORTIONAL hazards models
CD4 lymphocyte count
Subjects
Details
- Language :
- English
- ISSN :
- 14712334
- Volume :
- 19
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- BMC Infectious Diseases
- Publication Type :
- Academic Journal
- Accession number :
- 137774032
- Full Text :
- https://doi.org/10.1186/s12879-019-4292-9