Abstract
Background
Tuberculosis infection (TBI) is an important cause of bronchiectasis (BE). Exploring the risk factors of radiological BE (RBE) may improve the identification of high-risk populations of RBE after TB infection. The present study aimed to develop a novel inflammation-nutrition risk score (INRS) and RBE nomogram model to identify the high-risk population of RBE after TBI.
Methods
The present study recruited 2015 patients after TBI from two centers. Patients after TBI (N = 1825) from the Wuhan Jinyintan Hospital cohort were used to construct the INRS and RBE nomogram model. In addition, an independent external validation set from the Wuhan Union Hospital (N = 190) validated them.
Results
INRS was constructed based on PNI, HALP score, Lg (SII), and CAR. Additionally, Age ≥ 60 years old (OR:1.19, P = 0.030), Smoker (OR:1.71, P = 0.009), COPD (OR:3.13, P < 0.001), RDW.CV ≥ 12.8 (OR:1.09, P = 0.005), ALB < 35.5 (OR:1.04, P = 0.003), and INRS ≥ 1.86 (OR:5.04, P = < 0.001) were independent risk factors of RBE in patients after TBI. The RBE nomogram model to identify the high-risk RBE population was successfully established and showed a strong discriminative ability, accuracy, and clinical utility in development, internal validation, and external validation sets.
Conclusion
In patients after TBI, INRS may be a useful predictive biomarker for RBE, and the RBE nomogram model is a convenient and efficient tool for follow-up management for preventing RBE.