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

Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care01:30

Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care

21
A healthcare provider can diagnose a urinary tract infection (UTI) through several methods:Medical History and Symptoms: The provider will take a detailed medical history and ask about symptoms such as frequent urination, burning sensation during urination, and lower abdominal pain.Urinalysis: A clean-catch urine sample is collected in a sterile container and tested for the presence of bacteria, white blood cells (leukocytes), nitrites, blood, and protein. The presence of leukocytes and...
21

You might also read

Related Articles

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

Sort by
Same author

Behaviour artificial intelligence technology to support the decision-making process of continuation or withdrawal of life-sustaining therapy.

Intensive care medicine experimental·2026
Same author

Early prognostication for ICU patients with combined respiratory and circulatory failure: an interpretable machine learning approach.

Scientific reports·2026
Same author

Consensus statement from the 2025 Delphi panel on cerebral microdialysis in critical care.

Critical care (London, England)·2026
Same author

Innovation in intensive care: a framework to turn ideas and concepts into actionable solutions.

Intensive care medicine·2026
Same author

Beyond overconfidence: Embedding curiosity and humility for ethical medical AI.

PLOS digital health·2026
Same author

Mecp2 deficiency impairs microscale cortical network topology and dynamics in a Rett syndrome mouse model.

bioRxiv : the preprint server for biology·2025
Same journal

Graphical and interactive spatial proteomics image analysis workflow.

GigaByte (Hong Kong, China)·2026
Same journal

Closely related, yet phenotypically different - Genome assemblies of two sister species of widow spiders: <i>Latrodectus hasselti</i> and <i>L. katipo</i>, Theridiidae.

GigaByte (Hong Kong, China)·2026
Same journal

ChestPathCT5-S100: an open real-world chest CT dataset of five common thoracic pathologies with heterogeneous acquisition conditions.

GigaByte (Hong Kong, China)·2026
Same journal

AortaSeg-60: an open real-world CT-angiography dataset of the aorta with automated segmentation masks and pathological variability.

GigaByte (Hong Kong, China)·2026
Same journal

A chromosome-level reference genome for Pacific herring (<i>Clupea pallasii)</i> from the Bering Sea.

GigaByte (Hong Kong, China)·2026
Same journal

Efficient downsampling of genome alignments with Rasusa.

GigaByte (Hong Kong, China)·2026
See all related articles

Related Experiment Video

Updated: Aug 9, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

291

Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation.

Tom Edinburgh1, Stephen J Eglen1, Patrick Thoral2

  • 1Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.

Gigabyte (Hong Kong, China)
|February 24, 2023
PubMed
Summary
This summary is machine-generated.

Identifying patients with sepsis in intensive care unit (ICU) databases is crucial for research. This study operationalizes the Sepsis-3 definition on the AmsterdamUMCdb, providing open-access code for reproducible critical care research.

More Related Videos

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery
10:19

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery

Published on: June 26, 2014

13.3K
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

Related Experiment Videos

Last Updated: Aug 9, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

291
Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery
10:19

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery

Published on: June 26, 2014

13.3K
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

Area of Science:

  • Critical care medicine
  • Health informatics
  • Epidemiology

Background:

  • Sepsis is a leading cause of intensive care unit (ICU) admission and mortality.
  • Accurate patient identification in ICU databases is vital for comparative research.
  • Standardized data structures are lacking in electronic health records, hindering research.

Purpose of the Study:

  • To operationalize the Sepsis-3 definition for patient identification in ICU research databases.
  • To provide open-access code for selecting septic patients from the AmsterdamUMCdb.
  • To facilitate reproducible critical care research using standardized sepsis definitions.

Main Methods:

  • Applied the Sepsis-3 criteria to identify patients within the AmsterdamUMCdb.
  • Developed and validated code for cohort selection.
  • Ensured code is publicly available for the research community.

Main Results:

  • Successfully operationalized the Sepsis-3 definition on a large European ICU database.
  • Generated open-access code for robust sepsis cohort identification.
  • Demonstrated a method for standardized patient selection in critical care research.

Conclusions:

  • Standardized sepsis definitions are essential for reproducible ICU research.
  • The provided open-access code enhances the usability of ICU databases for sepsis studies.
  • This work supports global efforts in critical care research by enabling robust patient cohort identification.