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

COPD: Pathogenesis and Clinical Features01:20

COPD: Pathogenesis and Clinical Features

1.8K
Chronic obstructive pulmonary disease (COPD) is a group of lung conditions that progressively worsen over time, including chronic bronchitis and emphysema. This cluster of diseases collectively leads to a gradual and irreversible decline in lung function over time.
The primary cause for the onset of COPD is cigarette smoking and exposure to air pollution. These hazardous factors initiate a chain reaction within the lungs, resulting in chronic inflammation, damage to the airways, and a...
1.8K
COPD: Management Using Bronchodilators and Corticosteroids01:26

COPD: Management Using Bronchodilators and Corticosteroids

812
Chronic obstructive pulmonary isease (COPD) involves a group of progressive lung disorders characterized by persistent airflow limitation and chronic respiratory symptoms. Asthma-COPD Overlap Syndrome (ACOS), encompassing features of both asthma and Chronic obstructive pulmonary disease (COPD), is a group of progressive lung disorders that includes chronic bronchitis, emphysema, and refractory (non-reversible) asthma. ACOS leads to complex clinical presentations that combine the inflammatory...
812
Variability: Analysis01:11

Variability: Analysis

509
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
509
Random Variables01:09

Random Variables

17.8K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.8K
Graphs of Equations in Two Variables01:30

Graphs of Equations in Two Variables

244
An equation with two variables, typically written in the form y = f(x) or Ax + By = C, describes a relationship between quantities represented by x and y. Each solution to such an equation is an ordered pair (x, y) that satisfies the equation when substituted. These pairs can be represented graphically to understand the variables' relationship visually.A common technique for constructing the graph of a two-variable equation is to create a value table. Begin by choosing several values for the...
244
Variables Affecting Phosphorescence and Fluorescence01:26

Variables Affecting Phosphorescence and Fluorescence

1.5K
Fluorescence and phosphorescence are essential phenomena in fields like analytical chemistry, biological imaging, and materials science, where they detect molecular properties and visualize cellular structures. Understanding the variables that influence these luminescent behaviors is crucial for maximizing accuracy and efficiency in their applications. These variables can broadly be grouped into chemical structure, solvent properties, and external conditions, each playing a distinct role in...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Federal housing assistance, cancer care, and overall survival among older adults with prostate cancer.

Journal of the National Cancer Institute·2026
Same author

Reply.

Gastro hep advances·2026
Same author

Large Language Models Can Generate High-Quality Pathology Multiple-Choice Questions Comparable With Questions Written by a Human Expert.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc·2025
Same author

Mild Dilatation of the Main Pancreatic Duct Is a Risk Factor for Progression to Pancreatic Cancer in High-Risk Individuals.

Gastro hep advances·2025
Same author

Federal Housing Assistance and Stage at Cancer Diagnosis Among Older Adults in the US.

JAMA network open·2025
Same author

Personalizing CA125 Levels Using Tumor Marker Variants: A Case-Control Analysis of Diagnostic Performance for Pancreatic Cancer.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2025

Related Experiment Video

Updated: Jan 31, 2026

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

14.3K

Clinical Differences in COPD Patients with Variable Patterns of Hypoxemia.

Erin R Narewski1, Amanda L Blackford2, Matthew R Lammi3

  • 1Department of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania.

Chronic Obstructive Pulmonary Diseases (Miami, Fla.)
|December 26, 2018
PubMed
Summary

Chronic obstructive pulmonary disease (COPD) patients with different hypoxemia patterns exhibit distinct clinical features. Understanding these differences in oxygen saturation (SpO2) at rest and during exertion is key for tailored COPD management.

Keywords:
LOTTLong-term Oxygen Treatment Trialchronic obstructive pulmonary diseasecopdlong-term oxygen treatment

More Related Videos

Characterizing Exon Skipping Efficiency in DMD Patient Samples in Clinical Trials of Antisense Oligonucleotides
05:16

Characterizing Exon Skipping Efficiency in DMD Patient Samples in Clinical Trials of Antisense Oligonucleotides

Published on: May 7, 2020

7.3K
Visualizing Motion Patterns in Acupuncture Manipulation
08:18

Visualizing Motion Patterns in Acupuncture Manipulation

Published on: July 16, 2016

9.2K

Related Experiment Videos

Last Updated: Jan 31, 2026

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

14.3K
Characterizing Exon Skipping Efficiency in DMD Patient Samples in Clinical Trials of Antisense Oligonucleotides
05:16

Characterizing Exon Skipping Efficiency in DMD Patient Samples in Clinical Trials of Antisense Oligonucleotides

Published on: May 7, 2020

7.3K
Visualizing Motion Patterns in Acupuncture Manipulation
08:18

Visualizing Motion Patterns in Acupuncture Manipulation

Published on: July 16, 2016

9.2K

Area of Science:

  • Pulmonary Medicine
  • Clinical Research
  • Respiratory Physiology

Background:

  • Chronic obstructive pulmonary disease (COPD) is a progressive respiratory disease.
  • Patients in the Long-term Oxygen Treatment Trial (LOTTO) exhibited varying degrees of hypoxemia (low blood oxygen).
  • Hypoxemia patterns included resting, exertional, or combined resting and exertional desaturation.

Purpose of the Study:

  • To investigate if distinct hypoxemia patterns in COPD patients correlate with specific clinical characteristics.
  • To identify differences in patient demographics, comorbidities, and quality of life based on hypoxemia presentation.

Main Methods:

  • Oxygen saturation (SpO2) was measured at rest and during the 6-minute walk test (6MWT) in 738 COPD patients.
  • Hypoxemia at rest defined as SpO2 89-93%; exertional hypoxemia as SpO2 <90% during ambulation.
  • Exclusion criteria included severe exercise hypoxemia (<80% for >1 minute).

Main Results:

  • 18.0% had hypoxemia at rest only, 43.2% on exertion only, and 38.8% in both.
  • Rest-only hypoxemia linked to current smoking, higher BMI, and diabetes.
  • Exertion-only hypoxemia associated with more severe airflow obstruction.
  • Quality of well-being was poorer in the rest-only hypoxemia group.

Conclusions:

  • COPD patients with mild-moderate hypoxemia display unique clinical profiles based on resting vs. exertional oxygen desaturation.
  • These findings highlight the importance of assessing SpO2 patterns for personalized COPD patient care.
  • Distinct hypoxemia patterns necessitate tailored clinical management strategies for COPD patients.