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

Acute Respiratory Failure-V01:29

Acute Respiratory Failure-V

192
The treatment for acute respiratory failure varies based on factors like the underlying cause, overall health, and severity. A collaborative healthcare team is essential for early detection, often through arterial blood gas analysis. Identifying the cause is the primary goal, with treatment strategies adjusted for ventilation/perfusion (V/Q) mismatch, shunting, or diffusion impairment.
Ensure that patients are monitored continuously for their response to therapy, including changes in...
192
Acute Respiratory Failure-II01:21

Acute Respiratory Failure-II

341
Type I Respiratory Failure, or hypoxemic respiratory failure, occurs when the partial pressure of oxygen (PaO2) in arterial blood falls below 60 mmHg while breathing room air without a corresponding increase in arterial carbon dioxide levels (PaCO2). This condition highlights a significant impairment in the lungs' capacity to oxygenate the blood.
The underlying physiological abnormalities that contribute to hypoxemic respiratory failure include:
341
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

182
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
182
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

327
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
327
Acute Respiratory Failure-I01:21

Acute Respiratory Failure-I

299
Acute respiratory failure is a condition characterized by the inability of the lungs to perform their primary function: gas exchange. This failure leads to insufficient oxygen levels (hypoxemia) in the blood, elevated carbon dioxide levels (hypercapnia), or both, causing critical impairment in organ function.
Definition: It is defined by specific criteria based on blood gas measurements. Hypoxemia happens when the partial pressure of oxygen (PaO2) falls below 60 mmHg. At the same time,...
299
Cardiopulmonary Resuscitation II: ACLS Airway Management01:22

Cardiopulmonary Resuscitation II: ACLS Airway Management

82
Airway management is a key skill in emergency and critical care settings, as maintaining a clear airway is essential for adequate oxygenation and ventilation.Head Tilt-Chin Lift TechniqueThe head tilt-chin lift maneuver is an essential technique primarily used in patients without suspected cervical spine injuries. To perform this maneuver, one hand is placed on the patient’s forehead, and gentle pressure is applied backward to tilt the head. The fingertips of the other hand are positioned...
82

You might also read

Related Articles

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

Sort by
Same author

Somatic Mutation Profiles in Colorectal Cancers Differ by Population.

medRxiv : the preprint server for health sciences·2026
Same author

Race and Socioeconomic Status Impact Survival from Early and Late-Onset Colorectal Cancer.

medRxiv : the preprint server for health sciences·2026
Same author

Identification of a central CGRP circuit for trigeminal V1-mediated migraine-like pain in mice.

Brain : a journal of neurology·2026
Same author

Prediction model for children with anaphylaxis who may not require emergency department care: a multicenter retrospective cohort study.

The journal of allergy and clinical immunology. In practice·2026
Same author

N95 filtering facepiece respirator fit assessment outcomes by gender, age, race, and facial hair in a community population sample.

Annals of work exposures and health·2026
Same author

High-resolution metabolomics of maternal polybrominated diphenyl ethers (PBDE) exposure and preterm birth in the Atlanta African American Maternal-Child Cohort.

Communications medicine·2026

Related Experiment Video

Updated: Sep 5, 2025

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

205

Prediction Model for Croup Admission Need.

Walid Maalouli1, Ashley Petersen1, Jonathan Strutt1

  • 1University of Minnesota, Minneapolis, Minnesota.

Hospital Pediatrics
|July 5, 2022
PubMed
Summary

A new predictive model can help identify croup patients needing hospitalization. This tool aids emergency department (ED) decision-making, especially when pediatric expertise is limited.

More Related Videos

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.2K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.2K

Related Experiment Videos

Last Updated: Sep 5, 2025

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

205
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.2K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.2K

Area of Science:

  • Pediatric Emergency Medicine
  • Clinical Decision Support Systems
  • Respiratory Illnesses

Background:

  • Croup is a common pediatric respiratory illness presenting to emergency departments.
  • Accurate risk stratification for croup is crucial for appropriate patient management and resource allocation.
  • Existing methods for predicting croup hospitalization may lack precision.

Purpose of the Study:

  • To develop and validate a predictive model for identifying croup patients at risk of hospitalization and requiring respiratory intervention.
  • To compare the model's predictive performance against emergency department (ED) provider assessments.

Main Methods:

  • Retrospective analysis of 2951 croup patients from 2019-2020 across three hospitals.
  • Utilized demographics, clinical history, Westley croup scores, and ED treatments (dexamethasone, racemic epinephrine) as predictors.
  • Employed L1-penalized logistic regression to build the admission need prediction model.

Main Results:

  • The final model included disposition Westley croup scores, racemic epinephrine doses, prior dexamethasone, and intubation history.
  • The model achieved 66% sensitivity and 99% negative predictive value for predicting admission need.
  • Emergency department providers demonstrated slightly higher sensitivity (72%) but lower specificity (94%) compared to the model.

Conclusions:

  • The developed predictive model shows promise in supporting clinical decision-making for croup patients in the ED.
  • The model can potentially enhance management decisions, particularly in settings with limited pediatric expertise.
  • Further validation may be warranted to optimize its clinical utility.