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 Experiment Video

Updated: Jun 8, 2026

A Modular Workflow for Quantitative, Structural and Functional Analysis of Leptospira Biofilms
08:51

A Modular Workflow for Quantitative, Structural and Functional Analysis of Leptospira Biofilms

Published on: December 19, 2025

Developing a clinically relevant classification to predict mortality in severe leptospirosis.

Senaka Rajapakse1, Chaturaka Rodrigo, Rashan Haniffa

  • 1Department of Clinical Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.

Journal of Emergencies, Trauma, and Shock
|October 9, 2010
PubMed
Summary

Predicting mortality in severe leptospirosis is crucial. Age, alcoholism, infection burden, hemodynamic instability, leukocytosis, and organ dysfunction like ARF are key predictors, aiding risk stratification.

Related Concept Videos

Bacterial Phylum Spirochaetes01:30

Bacterial Phylum Spirochaetes

Spirochetes, unique bacteria in the phylum Spirochaetes, are gram-negative, motile, tightly coiled, slender, and flexible. They inhabit aquatic sediments and animals, with some causing diseases like syphilis. Spirochetes are classified into eight genera based on habitat, pathogenicity, phylogeny, and characteristics.Their distinctive motility arises from endoflagella, located within the cell’s periplasm. These endoflagella anchor at the cell poles and extend along the cell length, encased by a...

You might also read

Related Articles

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

Sort by
Same author

Family-led post-ICU discharge intervention for tracheostomized patients in India: Feasibility and formative impact evaluation.

PloS one·2026
Same author

Dengue NS1 as a Driver of Immune-Mediated Pathogenesis.

Tropical medicine and infectious disease·2026
Same author

DENcode: A model for haplotype-informed transmission probability of dengue virus.

PLoS computational biology·2026
Same author

Post-Infectious Fatigue and Depression Following Dengue: A Systematic Review and Meta-Analysis of Associated Factors.

Reviews in medical virology·2026
Same author

Association Between Sex and Clinical Outcomes for Critically Ill Patients in India: A Registry-Embedded Cohort Study.

Critical care medicine·2026
Same author

Ivermectin for Critically and Noncritically Ill Hospitalized Patients With COVID-19: Randomized, Embedded, Multifactorial Adaptive Platform Trial for Community-Acquired Pneumonia (REMAP-CAP).

Critical care medicine·2026

Area of Science:

  • Infectious Diseases
  • Critical Care Medicine
  • Epidemiology

Background:

  • Severe leptospirosis presents a significant critical care challenge with high mortality rates.
  • Existing risk stratification models for sepsis, like the PIRO concept, can be adapted for leptospirosis.

Purpose of the Study:

  • To identify and classify factors predicting mortality in severe leptospirosis using the PIRO (predisposition, infection, response, organ dysfunction) model.
  • To establish a foundation for a PIRO-based staging system for leptospirosis severity.

Main Methods:

  • A comprehensive literature search of PubMed was conducted for leptospirosis articles published in English over the last 20 years.
  • Data from 45 relevant studies were extracted and categorized according to the PIRO model components.
Keywords:
Leptospirosismortalityseverity

Related Experiment Videos

Last Updated: Jun 8, 2026

A Modular Workflow for Quantitative, Structural and Functional Analysis of Leptospira Biofilms
08:51

A Modular Workflow for Quantitative, Structural and Functional Analysis of Leptospira Biofilms

Published on: December 19, 2025

Main Results:

  • Predisposition factors associated with increased mortality include advanced age and chronic alcoholism.
  • Infection-related predictors involve leptospiraemic burden, while response factors include hemodynamic disturbances and leukocytosis.
  • Organ dysfunction, specifically multiple organ dysfunction syndrome, pulmonary involvement, and acute renal failure, significantly correlates with higher mortality.

Conclusions:

  • Further research is necessary to explore the prognostic value of infecting serovars, clinical signs, inflammatory markers, cytokines, and hepatic dysfunction.
  • The study proposes the PIRO model as a framework for developing a standardized staging system for severe leptospirosis.