NCT03883061

Mathematical Modeling and Risk Factor Analysis for Mortality of Sepsis

Mathematical Modeling and Risk Factor Analysis for Mortality of Sepsis Based on Real World Data in China

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 2,000 (estimated)
• Sponsor: Shanghai Tongji Hospital, Tongji University School of Medicine · Academic / Other
• Sex: All
• Age: 14 Years – 99 Years
• Healthy volunteers: Not accepted

Summary

The purpose of this study was to investigate the risk factors for mortality of sepsis and to create mathematical models to predict the survival rate based on electronic health records that extracted from hospital information system. More than 1000 records should be collected and used to data analysis. Univariate and multivariable logistic regression model were applied to risk factors analysis for the outcome, and machine learn algorithms were employed to generate predictive models for the outcome.

Conditions

• Morality
• Risk Factor, Sepsis
• Predictive Model

Interventions

Type	Name	Description
OTHER	regular medical treatment	regular medical treatment

Timeline

• Start date: 2017-01-01
• Primary completion: 2019-03-01
• Completion: 2021-12-31
• First posted: 2019-03-20
• Last updated: 2021-01-06

Locations

1 site across 1 country: China