Mathematical Modeling and Risk Factor Analysis for Mortality of Sepsis

Tongji University

Status: Unknown

Conditions: Risk Factor, Sepsis; Morality; Predictive Model

Treatments: Other: regular medical treatment

Study type: Observational

Funder types: Other

Identifiers

NCT03883061

20190319

Details and patient eligibility

About

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.

Enrollment: 2,000 estimated patients

Sex: All

Ages: 14 to 99 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• all records with sepsis in emergence department of hospitals

Exclusion criteria

• subjects with major missing data

Trial design

2,000 participants in 1 patient group

mortality of sepsis

Description:

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.

Treatment:

Other: regular medical treatment