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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT05698160
Other study ID # 2022-LCYJ-PY-14
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date May 1, 2023
Est. completion date December 31, 2025

Study information

Verified date January 2023
Source The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Contact n/a
Is FDA regulated No
Health authority
Study type Observational [Patient Registry]

Clinical Trial Summary

This study is to screen out the biomarkers and establish the model to predict coagulation dysfunction induced tigecycline


Description:

The critically ill patients treated with tigecycline in in tensive care unit will be recruited and divided into tigecycline-induced coagulation dysfunction group and non-coagulation dysfunction group. The multi-omics will be used to screen out biomarkers for early prediction of coagulation dysfunction caused by tigecycline. Afterwards, machine learning methods will be adopted to establish the the early prediction model of tigecycline-induced coagulation dysfunction.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 200
Est. completion date December 31, 2025
Est. primary completion date December 31, 2025
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Inpatients receiving tigecycline treatment in the Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School - Intravenous tigecycline = 3 days - Monitoring the plasma concentration of tigecycline Exclusion Criteria: - Missing clinical data

Study Design


Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

Outcome

Type Measure Description Time frame Safety issue
Primary Biomarkers associated with the coagulation dysfunction induced tigecycline Multi-omics will be adopted to screen out biomarkers associated with the coagulation dysfunction induced by tigecycline. January 2023-December 2025
Secondary Prediction model for coagulation dysfunction induced by tigecycline Machine learning techbology will be adopted to establish the prediction model for coagulation dysfunction induced by tigecycline January 2023-December 2025
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