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

Burn Injuries01:22

Burn Injuries

3.1K
Burn injuries occur when the skin and underlying tissues are damaged due to exposure to heat, electricity, chemicals, radiation, or friction. They can vary in severity, from minor superficial burns to severe deep burns that can be life-threatening.
The damage results in the death of skin cells, which can lead to a massive loss of fluid. Dehydration, electrolyte imbalance, and renal and circulatory failure follow, which can be fatal. Burn patients are treated with intravenous fluids to offset...
3.1K
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

3.1K
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...
3.1K

You might also read

Related Articles

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

Sort by
Same author

Remote sensing data and machine learning models estimate sorghum grain yield in a plant breeding program.

Plant phenomics (Washington, D.C.)·2026
Same author

Obesity Attenuates the Association Between the Modified Five-Item Frailty Score and Mortality in Septic Surgical Patients.

The Journal of surgical research·2026
Same author

Safety, immunogenicity, and dose ranging of a bivalent respiratory syncytial virus and human metapneumovirus glycoprotein F-molecular clamp vaccine candidate in older adults: 1-month interim analysis of an ongoing randomised, observer-blind, placebo- and active-controlled, phase 1 trial.

Vaccine·2026
Same authorSame journal

Outcomes and Predictors of Fungal Necrotizing Soft Tissue Infections.

Surgical infections·2026
Same author

Stepwise loss of complexity in hagfish eyes prior to deep sea colonization.

Biology letters·2026
Same author

Viral mimicry redirects immunosuppressed colorectal tumour landscapes towards a proinflammatory and CMS1-like regenerative state.

Communications biology·2026

Related Experiment Video

Updated: Oct 2, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.7K

Outcomes of Patients with Necrotizing Soft Tissue Infections: A Propensity-Matched Analysis Using the National

Courtney M Collins1, Adara McCarty1, Anahita Jalilvand1

  • 1Department of Surgery, Ohio State University Wexner Medical Center, Columbus, Ohio, USA.

Surgical Infections
|February 23, 2022
PubMed
Summary

Necrotizing soft tissue infections (NSTIs) increase mortality and morbidity. Kidney dysfunction is a key predictor for mortality, complications, and higher care needs, requiring focused attention for better patient outcomes.

Keywords:
acute renal failureinfectionsnecrotizing fasciitisnecrotizing soft tissue infection

More Related Videos

Application of Lucilia sericata Larvae in Debridement of Pressure Wounds in Outpatient Settings
09:37

Application of Lucilia sericata Larvae in Debridement of Pressure Wounds in Outpatient Settings

Published on: December 4, 2021

8.2K
A Standardized Procedure of Dressing Management for Toxic Epidermal Necrolysis
07:22

A Standardized Procedure of Dressing Management for Toxic Epidermal Necrolysis

Published on: March 14, 2025

622

Related Experiment Videos

Last Updated: Oct 2, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.7K
Application of Lucilia sericata Larvae in Debridement of Pressure Wounds in Outpatient Settings
09:37

Application of Lucilia sericata Larvae in Debridement of Pressure Wounds in Outpatient Settings

Published on: December 4, 2021

8.2K
A Standardized Procedure of Dressing Management for Toxic Epidermal Necrolysis
07:22

A Standardized Procedure of Dressing Management for Toxic Epidermal Necrolysis

Published on: March 14, 2025

622

Area of Science:

  • Infectious Diseases
  • Epidemiology
  • Critical Care Medicine

Background:

  • Necrotizing soft tissue infections (NSTIs) are severe, rapidly spreading infections with significant morbidity and mortality.
  • Identifying risk factors for NSTI outcomes remains challenging, with variable results in previous studies.

Purpose of the Study:

  • To determine factors impacting mortality, morbidity, and discharge disposition in patients with NSTIs.
  • To identify specific comorbidities that predict adverse outcomes and higher care needs.

Main Methods:

  • Retrospective analysis of the National Inpatient Sample (2012-2018) for patients diagnosed with NSTIs.
  • Utilized a 1:4 greedy matching approach to analyze risk factors for in-hospital mortality and discharge disposition.
  • Employed t-tests, Wilcoxon rank sum tests, chi-squared, and Fisher exact tests for statistical analysis (p < 0.05).

Main Results:

  • Advanced age and multiple comorbidities (≥2) were significant risk factors for mortality and morbidity.
  • Cancer, liver disease, and kidney disease predicted in-hospital mortality.
  • Diabetes mellitus and kidney disease predicted in-hospital complications; these, along with heart disease, predicted discharge to skilled nursing or rehabilitation facilities.

Conclusions:

  • NSTIs are associated with substantial morbidity and mortality, necessitating risk factor identification for resource allocation.
  • Kidney dysfunction emerged as a critical predictor, associated with increased mortality, morbidity, and need for higher care levels.
  • Early identification and management of patients with kidney dysfunction are crucial for improving outcomes and reducing healthcare burden.