MedTrace Logo

A Model for Drug Concentration Prediction of Vancomycin

NCT06431412 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 401

Last updated 2024-05-28

No results posted yet for this study

Summary

Objective: This study aims to use machine learning methods to establish an optimal model for predicting serum vancomycin trough concentrations in critically ill patients.

Methods: This is a single-center, retrospective study. Data on serum vancomycin concentration in the Critical Care Database of Peking Union Medical College Hospital were screened and extracted to construct a prediction model using machine learning methods. The MIMIC-IV (Medical Information Mart for Intensive Care) database will be further used for external verification of the constructed model.

The study has been approved by the Medical Ethics Committee of Peking Union Medical College Hospital (K24C1161).

Conditions

Interventions

OTHER

no intervention

no intervention

Sponsors & Collaborators

  • Peking Union Medical College Hospital

    lead OTHER

Principal Investigators

  • Li Weng, MD · Peking Union Medical College Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-03-01
Primary Completion
2024-08-31
Completion
2024-08-31

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

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 NCT06431412 on ClinicalTrials.gov