Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

469
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...
469
Pulmonary Tuberculosis II01:28

Pulmonary Tuberculosis II

1.4K
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...
1.4K
Pulmonary Tuberculosis III01:31

Pulmonary Tuberculosis III

908
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:
908
Pulmonary Tuberculosis I01:29

Pulmonary Tuberculosis I

816
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...
816
Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

166
Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
166
Pulmonary Tuberculosis V01:28

Pulmonary Tuberculosis V

530
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...
530

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Daily Physical Activity Patterns as a Window on Cognitive Diagnosis in the Baltimore Longitudinal Study of Aging (BLSA).

Journal of Alzheimer's disease : JAD·2022
Same author

Predicting the Stone-Free Status of Percutaneous Nephrolithotomy With the Machine Learning System: Comparative Analysis With Guy's Stone Score and the S.T.O.N.E Score System.

Frontiers in molecular biosciences·2022
Same author

Superior Creep Resistance and Remnant Strength of Novel Tempered Ferritic-Martensitic Steels Designed by Element Addition.

Materials (Basel, Switzerland)·2022
Same author

Transcriptional ITPR3 as potential targets and biomarkers for human pancreatic cancer.

Aging·2022
Same author

Synergetic effect of Na-doping and carbon coating on the electrochemical performances of Li<sub>3-</sub> Na <sub></sub> V<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub>/C as cathode for lithium-ion batteries.

RSC advances·2022
Same author

Effect of ambient O<sub>3</sub> on mortality due to circulatory and respiratory diseases in a high latitude city of northeast China.

Environmental science and pollution research international·2022

Related Experiment Video

Updated: Jan 12, 2026

Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis
06:26

Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis

Published on: July 28, 2023

2.9K

Development of a nomogram model for predicting pulmonary tuberculosis activity.

Xiaoyan Wu1, Gonghui Wang, Hang Wang

  • 1Department of Tuberculosis, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou Province, China.

Medicine
|November 8, 2025
PubMed
Summary

A new nomogram effectively predicts active pulmonary tuberculosis (APTB) using five common lab tests. This tool aids in timely diagnosis and treatment of APTB, improving public health outcomes.

Keywords:
erythrocyte sedimentation ratemonocyte-to-HDL rationomogrampredictive modelpulmonary tuberculosisserum albumin

More Related Videos

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection
10:10

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection

Published on: October 5, 2015

19.4K
System for Efficacy and Cytotoxicity Screening of Inhibitors Targeting Intracellular Mycobacterium tuberculosis
09:57

System for Efficacy and Cytotoxicity Screening of Inhibitors Targeting Intracellular Mycobacterium tuberculosis

Published on: April 5, 2017

9.0K

Related Experiment Videos

Last Updated: Jan 12, 2026

Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis
06:26

Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis

Published on: July 28, 2023

2.9K
A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection
10:10

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection

Published on: October 5, 2015

19.4K
System for Efficacy and Cytotoxicity Screening of Inhibitors Targeting Intracellular Mycobacterium tuberculosis
09:57

System for Efficacy and Cytotoxicity Screening of Inhibitors Targeting Intracellular Mycobacterium tuberculosis

Published on: April 5, 2017

9.0K

Area of Science:

  • Medical Diagnostics
  • Infectious Diseases
  • Public Health

Background:

  • Accurate identification of active pulmonary tuberculosis (APTB) is crucial for effective treatment and disease control.
  • Distinguishing APTB from non-active forms requires reliable diagnostic tools.

Purpose of the Study:

  • To develop and validate a predictive nomogram for APTB using routine laboratory parameters.
  • To identify key laboratory indicators that predict APTB in newly diagnosed patients.

Main Methods:

  • Retrospective observational study of 356 pulmonary tuberculosis patients.
  • Logistic regression analysis to identify independent predictors of APTB.
  • Nomogram construction and validation using ROC curves, calibration plots, and decision curve analysis.

Main Results:

  • Five variables identified as independent predictors: mean corpuscular volume, erythrocyte sedimentation rate, serum albumin, adenosine deaminase, and monocyte-to-high-density lipoprotein cholesterol ratio.
  • The nomogram showed strong discrimination (AUC=0.913) and excellent calibration.
  • The model demonstrated significant clinical utility in decision curve analysis.

Conclusions:

  • An internally validated nomogram using accessible laboratory indicators is a reliable tool for predicting APTB.
  • This nomogram can facilitate timely diagnosis and support clinical decision-making for APTB management.
  • The findings contribute to improved public health strategies for tuberculosis control.