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

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.9K
VSEPR Theory for Determination of Electron Pair Geometries
45.9K
Prediction Intervals01:03

Prediction Intervals

3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.4K
Second Order systems II01:18

Second Order systems II

408
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
408
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

1.2K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
1.2K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

1.3K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.3K
First Order Systems01:21

First Order Systems

430
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
430

You might also read

Related Articles

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

Sort by
Same author

Expert viewpoint on endpoints in systemic sclerosis: current and future outlook.

RMD open·2026
Same author

Patient reports of evaluations for interstitial lung disease in patients with connective tissue diseases and rheumatoid arthritis: an international survey.

Respiratory research·2026
Same author

Genetic biomarkers of clinical manifestations in giant cell arteritis define distinct patient subgroups.

Annals of the rheumatic diseases·2026
Same author

Lung disease in rheumatoid arthritis.

Nature reviews. Rheumatology·2026
Same author

Lifetime risk of malignancy in polymyalgia rheumatica: a population-based matched cohort study from southern Norway.

Rheumatology (Oxford, England)·2026
Same author

Implantation of a Continuous-Flow Left Ventricular Assist Device During Cardiopulmonary Bypass Is Associated with a Significant and Transient Acute Thromboinflammatory Response.

International journal of molecular sciences·2026

Related Experiment Video

Updated: Feb 4, 2026

Transthoracic Echocardiography to Assess Post-Resuscitation Left Ventricular Dysfunction After Acute Myocardial Infarction and Cardiac Arrest in Pigs
08:19

Transthoracic Echocardiography to Assess Post-Resuscitation Left Ventricular Dysfunction After Acute Myocardial Infarction and Cardiac Arrest in Pigs

Published on: July 12, 2022

3.5K

Left Ventricular Diastolic Dysfunction Predicts Mortality in Patients With Systemic Sclerosis.

Anders H Tennøe1, Klaus Murbræch2, Johanna C Andreassen2

  • 1Department of Rheumatology, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.

Journal of the American College of Cardiology
|October 6, 2018
PubMed
Summary

Diastolic dysfunction (DD) is common in systemic sclerosis (SSc) and significantly increases mortality risk. This cardiac issue is a stronger predictor of death than pulmonary hypertension (PH) in SSc patients.

Keywords:
diastolic dysfunctionechocardiographymortalitysystemic sclerosis

More Related Videos

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
06:34

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Published on: October 28, 2020

4.7K
Echocardiographic Measurement of Right Ventricular Diastolic Parameters in Mouse
06:04

Echocardiographic Measurement of Right Ventricular Diastolic Parameters in Mouse

Published on: April 27, 2019

8.1K

Related Experiment Videos

Last Updated: Feb 4, 2026

Transthoracic Echocardiography to Assess Post-Resuscitation Left Ventricular Dysfunction After Acute Myocardial Infarction and Cardiac Arrest in Pigs
08:19

Transthoracic Echocardiography to Assess Post-Resuscitation Left Ventricular Dysfunction After Acute Myocardial Infarction and Cardiac Arrest in Pigs

Published on: July 12, 2022

3.5K
Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
06:34

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Published on: October 28, 2020

4.7K
Echocardiographic Measurement of Right Ventricular Diastolic Parameters in Mouse
06:04

Echocardiographic Measurement of Right Ventricular Diastolic Parameters in Mouse

Published on: April 27, 2019

8.1K

Area of Science:

  • Cardiology
  • Rheumatology
  • Pulmonology

Background:

  • Primary cardiac affection is a significant cause of mortality in systemic sclerosis (SSc).
  • Knowledge gaps exist regarding the impact of cardiac dysfunction on SSc patient survival.

Purpose of the Study:

  • To evaluate diastolic function in a large, unselected SSc cohort.
  • To assess the effect of diastolic dysfunction (DD) on mortality in SSc patients.

Main Methods:

  • Prospective follow-up of 275 SSc patients and matched controls from 2003-2016.
  • Diastolic dysfunction (DD) assessed by echocardiography; pulmonary hypertension (PH) diagnosed by right heart catheterization.
  • Cox regression analyses used to determine mortality predictors.

Main Results:

  • At baseline, 17% of SSc patients had DD, increasing to 29% at follow-up.
  • 57% of patients with baseline DD died, versus 13% with normal diastolic function.
  • DD was a stronger mortality predictor (HR: 3.7) than PH (HR: 2.0).

Conclusions:

  • Diastolic dysfunction (DD) is frequent in systemic sclerosis (SSc).
  • Presence of DD is strongly associated with high mortality in SSc.
  • DD is a more potent predictor of mortality than PH in SSc.