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Mathematical Modeling and Risk Factor Analysis for Mortality of Sepsis

NCT03883061 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2021-01-06

No results posted yet for this study

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

OTHER

regular medical treatment

regular medical treatment

Sponsors & Collaborators

  • Department of Emergence, The First Hospital Affiliated to South China University, Hengyang, Hunan, China.

    collaborator UNKNOWN

  • Department of Integrative Medicine, Huashan Hospital of Fudan University, Shanghai, China

    collaborator UNKNOWN

  • Department of Biomedical Informatics and Statistics, Insitute of Integrative Medicine, Fudan University, Shanghai, China

    collaborator UNKNOWN

  • Department of emergence, Hunan people's hospital, Changhai, Hunan, China

    collaborator UNKNOWN

  • Department of emergence, The hospital affiliated to Jining medical college, Jining, Shandong, China

    collaborator UNKNOWN

  • Department of emergence, Huaihua people's hospital, Huaihua, Hunan, China

    collaborator UNKNOWN

  • Shanghai Tongji Hospital, Tongji University School of Medicine

    lead OTHER

Eligibility

Min Age
14 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-01-01
Primary Completion
2019-03-01
Completion
2021-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03883061 on ClinicalTrials.gov