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

Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

11.9K
The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
11.9K
PCR01:32

PCR

237.1K
Overview
237.1K
Correlations02:20

Correlations

35.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
Correlation and Causation01:27

Correlation and Causation

42.2K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.2K
Correlation01:09

Correlation

14.8K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
14.8K
What are Biogeochemical Cycles?00:54

What are Biogeochemical Cycles?

39.2K
The most common elements in organic molecules, carbon, hydrogen, oxygen, nitrogen, sulfur, and phosphorus, are only available in the ecosystem in limited amounts. Therefore, these nutrients must be recycled through both biotic and abiotic components of the ecosystem, in processes generally called biogeochemical cycles.
39.2K

You might also read

Related Articles

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

Sort by
Same author

The immunomodulatory molecule pidotimod induces the expression of the NOD-like receptor NLRP12 and attenuates TLR-induced inflammation.

Journal of biological regulators and homeostatic agents·2015
Same author

A specific Toll-like receptor profile on T lymphocytes and values of monocytes correlate with bacterial, fungal, and cytomegalovirus infections in the early period of allogeneic stem cell transplantation.

Transplant infectious disease : an official journal of the Transplantation Society·2014
Same author

Listeria monocytogenes brainstem infection (rhombencephalitis) mimicking ischemic stroke.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2014
Same author

Radiofrequency ablation for chronic radiation proctitis: our initial experience with four cases.

Techniques in coloproctology·2014
Same author

Potential neurodegenerative effect of anabolic androgenic steroid abuse.

Journal of biological regulators and homeostatic agents·2014
Same author

Plasma-beam traps and radiofrequency quadrupole beam coolers.

The Review of scientific instruments·2014

Related Experiment Video

Updated: Jan 22, 2026

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment
12:58

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment

Published on: May 25, 2017

9.4K

Correlation between tcdB gene PCR cycle threshold and severe Clostridium difficile disease.

M A De Francesco1, G Lorenzin2, G Piccinelli1

  • 1Institute of Microbiology, Department of Molecular and Translational Medicine, University of Brescia-Spedali Civili, Brescia, Italy.

Anaerobe
|June 30, 2019
PubMed
Summary

A retrospective study found that a cycle threshold (CT) value of 26 or less in Clostridium difficile testing is linked to severe disease. Lower CT values also correlated with older patients and increased white blood cell counts.

Keywords:
Cycle thresholdLeukocytosisPCR

More Related Videos

Culturing and Maintaining Clostridium difficile in an Anaerobic Environment
11:13

Culturing and Maintaining Clostridium difficile in an Anaerobic Environment

Published on: September 14, 2013

40.0K
A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection
09:12

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

Published on: June 15, 2018

10.4K

Related Experiment Videos

Last Updated: Jan 22, 2026

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment
12:58

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment

Published on: May 25, 2017

9.4K
Culturing and Maintaining Clostridium difficile in an Anaerobic Environment
11:13

Culturing and Maintaining Clostridium difficile in an Anaerobic Environment

Published on: September 14, 2013

40.0K
A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection
09:12

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

Published on: June 15, 2018

10.4K

Area of Science:

  • Clinical microbiology
  • Infectious diseases
  • Diagnostic markers

Background:

  • Clostridium difficile infection (CDI) is a significant cause of healthcare-associated diarrhea.
  • Accurate and timely diagnosis is crucial for effective patient management.
  • Identifying predictive markers for disease severity can aid in clinical decision-making.

Purpose of the Study:

  • To investigate the association between Clostridium difficile testing cycle threshold (CT) values and disease severity.
  • To explore correlations between CT values and patient demographics or clinical parameters.

Main Methods:

  • Retrospective analysis of Clostridium difficile test samples from 2015 to 2018.
  • Classification of patients into mild/moderate (222 patients) and severe (199 patients) disease groups.
  • Statistical analysis to determine associations between CT values and disease severity, age, and leukocytosis.

Main Results:

  • A cycle threshold (CT) value less than or equal to 26 was significantly associated with severe Clostridium difficile disease.
  • Lower CT values demonstrated a significant correlation with older patient age.
  • Low CT values were also significantly associated with elevated white blood cell counts (leukocytosis).

Conclusions:

  • Cycle threshold values in Clostridium difficile testing can serve as a potential indicator of disease severity.
  • Lower CT values may predict more severe outcomes in Clostridium difficile infections.
  • CT values, alongside patient age and leukocytosis, could contribute to risk stratification for CDI patients.