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Related Concept Videos

Pulmonary Tuberculosis III01:31

Pulmonary Tuberculosis III

363
Tuberculosis (TB) is a contagious infection primarily affecting the lung parenchyma but which can also affect other body parts. TB can be classified based on disease development, presentation, and the affected anatomical site.
The first classification is based on the development of the disease, and it includes the following categories:
363
Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

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Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
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...
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Pulmonary Tuberculosis I01:29

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Tuberculosis, often called TB, is a contagious illness primarily caused by Mycobacterium tuberculosis. It mainly affects the lung parenchyma but can also impact other body parts.
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...
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Pulmonary Tuberculosis II01:28

Pulmonary Tuberculosis II

262
Tuberculosis, or TB, is a bacterial infectious disease caused by Mycobacterium tuberculosis. While its primary impact is on the lungs, leading to pulmonary tuberculosis, it can also affect various other organs, a condition referred to as extrapulmonary tuberculosis.
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...
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Pulmonary Tuberculosis V01:28

Pulmonary Tuberculosis V

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Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
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...
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Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Related Experiment Video

Updated: Jul 18, 2025

A Retrospective Study on Endoscopic Surgery for the Treatment of Paravertebral Abscess in Spinal Tuberculosis Patients
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Identification of spinal tuberculosis subphenotypes using routine clinical data: a study based on unsupervised

Yuanlin Yao1, Shaofeng Wu1, Chong Liu1

  • 1Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.

Annals of Medicine
|August 23, 2023
PubMed
Summary

Researchers identified two spinal tuberculosis subphenotypes using K-means clustering. One subphenotype showed higher inflammation, worse clinical outcomes, and more complications, aiding precision medicine and individualized treatment.

Keywords:
K-meansSpinal tuberculosiscluster analysisheterogeneitymachine learning

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Area of Science:

  • Orthopedics
  • Infectious Diseases
  • Precision Medicine

Background:

  • Identifying spinal tuberculosis subphenotypes is crucial for precision medicine.
  • Current study models are insufficient for identifying spinal tuberculosis subphenotypes.
  • This study aimed to identify and compare clinical outcomes of spinal tuberculosis subphenotypes.

Purpose of the Study:

  • To identify distinct subphenotypes of spinal tuberculosis.
  • To compare clinical characteristics, surgical efficacy, and postoperative complications between identified subphenotypes.

Main Methods:

  • Utilized K-means clustering analysis on clinical data from 422 surgically treated spinal tuberculosis patients.
  • Collected routine clinical data within 24 hours of admission.
  • Compared clinical characteristics, surgical outcomes, and complications among identified clusters.

Main Results:

  • Identified two distinct spinal tuberculosis subphenotypes.
  • Cluster 2 exhibited higher inflammatory markers, worse disease severity (higher Oswestry Disability Index, higher visual analog scale score, lower Japanese Orthopedic Association score), and increased postoperative complications, including wound infections.
  • Cluster 2 patients experienced longer hospital stays.

Conclusions:

  • K-means clustering effectively identifies spinal tuberculosis subtypes using readily available clinical data.
  • This method enables rapid bedside identification of subtypes.
  • Findings support the development of individualized treatment strategies for spinal tuberculosis.