You are using an outdated browser. Please upgrade your browser to improve your experience.
Dengue MV Score

Dengue MV Score is a specialized clinical tool designed to estimate the risk of mechanical ventilation in children with dengue shock syndrome

Dengue MV Score is a specialized clinical tool designed to estimate the risk of mechanical ventilation in children with dengue shock syndrome

Dengue MV Score

by CÔNG TY TNHH CÔNG NGHỆ KINH DOANH QUỐC TẾ

What is it about?

Dengue MV Score is a specialized clinical tool designed to estimate the risk of mechanical ventilation in children with dengue shock syndrome. By integrating a machine learning–based risk score (published in PLOS One journal), the application calculates a patient’s risk level using multiple clinical parameters—such as cumulative fluid infusion, ratio of colloid-to-crystalloid fluids, platelet count, peak hematocrit, day of shock onset, severe bleeding, VIS score changes, and liver enzyme elevation.

App Details

Version
1.0
Rating
NA
Size
30Mb
Genre
Medical Education
Last updated
February 13, 2025
Release date
February 13, 2025
More info

App Store Description

Dengue MV Score is a specialized clinical tool designed to estimate the risk of mechanical ventilation in children with dengue shock syndrome. By integrating a machine learning–based risk score (published in PLOS One journal), the application calculates a patient’s risk level using multiple clinical parameters—such as cumulative fluid infusion, ratio of colloid-to-crystalloid fluids, platelet count, peak hematocrit, day of shock onset, severe bleeding, VIS score changes, and liver enzyme elevation.
This quick and user-friendly interface enables healthcare professionals to promptly identify high-risk cases and make more informed decisions in the first critical 24 hours of PICU admission. However, Dengue MV Score is not a substitute for professional judgment or existing treatment protocols.
(*) Important notice: Always consult official guidelines and expert recommendations.
(**) Reference: Thanh, N. T., Luan, V. T., Viet, D. C., Tung, T. H., & Thien, V. (2024). A machine learning-based risk score for prediction of mechanical ventilation in children with dengue shock syndrome: A retrospective cohort study. PloS one, 19(12), e0315281. https://doi.org/10.1371/journal.pone.0315281

Disclaimer:
AppAdvice does not own this application and only provides images and links contained in the iTunes Search API, to help our users find the best apps to download. If you are the developer of this app and would like your information removed, please send a request to takedown@appadvice.com and your information will be removed.