Mathematical Modeling and Risk Factor Analysis for Mortality of Sepsis

• Conditions: Risk Factor, Sepsis; Morality; Predictive Model
• Interventions: Other: regular medical treatment

• Registration Number: NCT03883061
• Lead Sponsor: Shanghai Tongji Hospital, Tongji University School of Medicine

Brief 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.

Detailed Description

Not available

Study Timeline

• Study Start: 2017-01-01
• Primary Completion: 2019-03-01
• Study First Submitted: 2019-03-19
• Study First Submitted QC: 2019-03-19
• Study First Posted: 2019-03-20
• Status Verified: 2021-01
• Last Update Submitted: 2021-01-05
• Last Update Posted: 2021-01-06
• Study Completion: 2021-12-31

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 2000

Inclusion Criteria

• all records with sepsis in emergence department of hospitals

Exclusion Criteria

• subjects with major missing data

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
mortality of sepsis	regular medical treatment	the study sample would be extracted from electronic health records in emergence departments. risk factor analysis and mathematical modeling would be performed to evaluate the significant and independent risk factors and predictive models.

Primary Outcome Measures

Name	Time	Method
mortality of sepsis	4 weeks	mortality of sepsis

Trial Locations

Locations (1)

Zihui Tang; 🇨🇳 Shanghai, China