Abstract
To investigate the association between the Pan-Immune-Inflammatory Value (PIV) and the risk of latent tuberculosis infection (LTBI) using a nationally representative sample from the United States. This study utilized data from 4877 adult participants in the National Health and Nutrition Examination Survey (NHANES) 2011-2012 cycle. PIV was calculated using neutrophil, monocyte, platelet, and lymphocyte counts. LTBI was assessed using the QuantiFERON-TB Gold In-Tube (QFT-GIT) test. Multivariable logistic regression was used to evaluate the association between PIV and LTBI risk. Subgroup analyses and Restricted Cubic Spline (RCS) analysis were performed. Cox regression analysis was used to examine the association of PIV with all-cause mortality among LTBI patients. Individuals with LTBI had significantly lower PIV levels compared to those without LTBI. Logistic regression analysis showed a significant negative correlation between PIV and LTBI risk, even after adjusting for covariates. The RCS analysis confirmed a dose-response relationship. The association remained significant across various demographic subgroups. Among LTBI patients, those in the highest PIV quartile had a significantly increased risk of all-cause mortality after full adjustment. PIV is negatively associated with the risk of LTBI. Additional extensive prospective investigations are required to validate these results.