Machine learning of immune-related laboratory indicators enables discrimination between pulmonary and extrapulmonary tuberculosis.

ABSTRACT:

Introduction

As a globally significant infectious disease, the tuberculosis bacterium can not only cause pulmonary tuberculosis through respiratory tract infection but also spread from pulmonary lesions to organs throughout the body via the blood or lymphatic system, resulting in extrapulmonary tuberculosis (EPTB). However, achieving early and accurate diagnosis of EPTB remains a major clinical challenge.

Methods

In this study, 1,580 patients were identified as samples for analysis. Through the process of decollinearity and characterization, seven routine blood markers: Basophil (BASO), Hemoglobin (HB), Mean erythrocyte hemoglobin concentration (MCHC), mean corpuscular volume (MCV), mean platelet volume (MPV), Red Blood Cell (RBC), Lymph and red blood cell distribution width

SUBMITTER: Gu S 

PROVIDER: S-EPMC12747964 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature