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

Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

13.2K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.2K
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

3.5K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
3.5K
Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic01:26

Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic

5.3K
Healthcare-associated infections (HAIs) occur in a healthcare facility while a person receives care for another ailment. This category also includes work-related infections among healthcare staff.
HAIs significantly increase the cost of health care. Extended stays in healthcare institutions, increased disability, increased costs of medications, including specialized antibiotics, and prolonged recovery times add to the patient's expenses and the healthcare institution and funding bodies.
5.3K
Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

161
Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
161
Pneumonia III: Complications and Assessment01:30

Pneumonia III: Complications and Assessment

762
Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
762

You might also read

Related Articles

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

Sort by
Same author

Semaglutide Inhibits Neuronal Apoptosis and Improves Cognitive Function in Mice after Traumatic Brain Injury, Mainly via the Caspase-Dependent Pathway.

Neurocritical care·2026
Same author

Semaglutide exerts neuroprotective effects by blocking the interleukin-17/NOD-like receptor family pyrin domain containing 3-mediated neuroinflammation pathway after traumatic brain injury.

Neural regeneration research·2026
Same author

Cerebrospinal Fluid Heparin-Binding Protein Improves the Evaluation of Functional Outcomes in Postcraniotomy Meningitis and Ventriculitis.

Neurocritical care·2025
Same author

Heparin-Binding Protein as a Diagnostic Biomarker for Healthcare-Associated Meningitis and Ventriculitis in Pediatric Patients.

Neurosurgery·2025
Same author

Balancing Anti-Inflammation and Neurorepair: The Role of Mineralocorticoid Receptor in Regulating Microglial Phenotype Switching After Traumatic Brain Injury.

CNS neuroscience & therapeutics·2025
Same author

Large Language Model-Based Critical Care Big Data Deployment and Extraction: Descriptive Analysis.

JMIR medical informatics·2025

Related Experiment Video

Updated: Jan 9, 2026

Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression
07:30

Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression

Published on: June 15, 2019

10.5K

Nomogram Prediction Model for Risk Factors of Secondary Infection in Sepsis Patients.

Jiaqi Lu1, Shuai Liu1, Jiaheng Zhang2

  • 1Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Clinical and Applied Thrombosis/Hemostasis : Official Journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
|December 1, 2025
PubMed
Summary

This study identified key risk factors for secondary infections in sepsis patients, including low oxygen saturation and high neutrophil counts. A predictive nomogram was developed to aid in individualized risk assessment for better patient management.

Keywords:
intensive care unitnomogramprediction modelsecondary infectionsepsis

More Related Videos

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

463
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

628

Related Experiment Videos

Last Updated: Jan 9, 2026

Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression
07:30

Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression

Published on: June 15, 2019

10.5K
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

463
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

628

Area of Science:

  • Critical Care Medicine
  • Infectious Diseases
  • Biostatistics

Background:

  • Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection.
  • Secondary infections are common complications in sepsis patients, increasing morbidity and mortality.
  • Identifying risk factors and predicting secondary infections are crucial for improving sepsis management.

Purpose of the Study:

  • To investigate the clinical characteristics and risk factors for secondary infections in sepsis patients.
  • To develop and validate a predictive model (nomogram) for secondary infection risk in the Intensive Care Unit (ICU).

Main Methods:

  • Retrospective analysis of 2247 sepsis patients from the MIMIC-IV database.
  • Univariate and multivariate logistic regression to identify independent risk factors.
  • Construction of a nomogram using R software for risk prediction.

Main Results:

  • Independent risk factors for secondary infection included lower oxygen saturation, reduced lymphocyte proportion, decreased platelet count, higher neutrophil proportion, elevated lactic acid levels within 24 hours of ICU admission, and invasive mechanical ventilation.
  • A nomogram was successfully constructed integrating these predictors.

Conclusions:

  • The developed nomogram effectively predicts the risk of secondary infection in sepsis patients.
  • Clinical variables such as oxygen saturation, lymphocyte and neutrophil ratios, platelet count, lactic acid, and mechanical ventilation are crucial for risk stratification.
  • This tool can support individualized risk assessment and clinical decision-making for sepsis patients at risk of secondary infections.