Related Experiment Video
Updated: Feb 12, 2026

Diagnosing Pulmonary Tuberculosis with the Xpert MTB/RIF Test
Published on: April 9, 2012
Network analysis of symptom clusters among patients with pulmonary tuberculosis: a cross-sectional study
Hanhan Kong1, Chang Liu1, Xiao Wang1
1Shenzhen Third People's Hospital, 29 Bulan Road, Longgang District, Shenzhen City, Guangdong Province, 518112, China.
Background:
Patients with pulmonary tuberculosis (PTB) experience complex and co-occurring symptoms. Understanding the structure of these symptom clusters and their interrelationships is crucial for effective management. This study aimed to map the symptom network and identify core symptoms and clusters among PTB patients in China and targets for precise intervention.
Methods:
A convenience sampling method was used to recruit 356 pulmonary tuberculosis patients between November 2024 and April 2025 from Shenzhen Third People's Hospital. Data were collected using a sociodemographic questionnaire and the Chinese version of the Memorial Symptom Assessment Scale (MSAS-C), a valid and reliable instrument (Cronbach's α = 0.87) for this population. Data normality was assessed using Shapiro-Wilk tests; non-normally distributed continuous variables were expressed as median and interquartile range. Exploratory factor analysis was used to identify symptom clusters, and a symptom network was analyzed using the qgraph package in R, with strength centrality serving as the primary metric for identifying core symptoms.
Results:
The exploratory factor analysis demonstrated appropriate sampling adequacy, as indicated by a KMO value of 0.643 and a significant Bartlett's test of sphericity (χ²= 661.633, p < 0.001). This study identified four symptom clusters in patients with pulmonary tuberculosis: nutritional deficiency symptoms (eigenvalue = 2.001), inflammatory-related symptoms (eigenvalue = 1.692), somatic discomfort symptoms (eigenvalue = 1.563), and respiratory system-related symptoms (eigenvalue = 1.529). These four clusters collectively accounted for 54.76% of the total variance. The symptom network revealed edge weights ranging from |r| = 0.01 to 0.42, and centrality indices demonstrated good stability (correlation stability coefficient of strength = 0.689). Core symptoms included difficulty sleeping (strength rs = 2.691), fatigue (rs = 2.681), lack of appetite (rs = 2.654), and weight loss (rs = 2.604).
Conclusion:
These findings identified four symptom clusters in pulmonary tuberculosis patients, with difficulty sleeping, fatigue, lack of appetite, and weight loss constituting the core symptoms. A targeted management strategy should prioritize these core symptoms through structured monitoring and intervention. Future longitudinal studies are needed to validate symptom dynamics and develop PTB-specific assessment tools.
Clinical Trial Number:
Not applicable.
Related Concept Videos
Cross-Sectional Research
Pulmonary Tuberculosis I
Causative Organism
The primary infectious agent causing tuberculosis is Mycobacterium tuberculosis, a slow-growing, acid-fast, aerobic rod that exhibits sensitivity to heat and ultraviolet light. Instances of Mycobacterium bovis and Mycobacterium avium contributing to the development of TB infection are rare.
Mode of...
Pulmonary Tuberculosis II
Here is a detailed explanation of its pathophysiology:
Transmission: The process begins when a person inhales droplet nuclei containing M. tuberculosis. These are typically released into the air when an individual with pulmonary or...
Pulmonary Tuberculosis V
Latent tuberculosis infection occurs when TB bacteria are present in a person's body, but are not causing illness or symptoms. It is not contagious, and preventive treatment is crucial to avoid the...
Pulmonary Tuberculosis III
The first classification is based on the development of the disease, and it includes the following categories:
Pulmonary Tuberculosis IV
Several diagnostic approaches are used to detect TB. The conventional method is the Tuberculin Skin Test (TST), also known as the Mantoux test. However, this method has...

