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