A Joint Model Based on Deep Learning to Predict Multidrug-resistant Klebsiella Pneumoniae Liver Abscess

NCT06506318 | Recruiting

• 1 other identifier: 2024PS679K
• Study Type: observational
• Target: 550
• Locations: 1 country
• Sites: 1

Brief Summary

The goal of this observational study is to train a deep learning-based model to predict multidrug-resistant Klebsiella pneumoniae liver abscess and evaluate it on a multi-center database.

Conditions

Liver Abscess

Keywords

Deep-learning; Liver Abscess

Outcome Measures

Primary Outcomes (2)

• Result of bacteria culture

  The result of bacteria culture of abscess decides which group the patients belong. This result was obtained from bacteria culture tests which were done by department of laboratory medicine.

  The first time before surgery or interventional process, usually within 1 week, up to 4 weeks.

• Result of drug resistant test

  Our destination is to find out the potential differences between Esbl(+) \& Esbl(-) liver abscess.

  The first time before surgery or interventional process, usually within 1 week, up to 4 weeks.

Study Arms (2)

Patients with ESBL(-) liver abscess

Patients with ESBL(+) liver abscess

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Pyogenic liver abscess patients in 14years of a multicenter project.

You may qualify if:

• Patients diagnosed as pyogenic liver abscess and was proved by surgery or interventional process.
• Patients had accepted abdominal enhance CT scans before surgery or interventional process.

You may not qualify if:

• Patients diagnosed with other types of liver abscess such as amoeba.

Sponsors & Collaborators

• Shengjing Hospital: lead
• The First Affiliated Hospital of China University of Science and Technology (Anhui Provincial): collaborator
• Guilin Medical University, China: collaborator
• Hebei General Hospital: collaborator
• Xijing Hospital: collaborator
• Hebei Medical University Third Hospital: collaborator
• The First Affiliated Hospital of Dalian Medical University: collaborator
• The People's Hospital of Liaoning Province: collaborator
• Fourth People's Hospital of Shenyang: collaborator
• Sir Run Run Shaw Hospital: collaborator

Study Sites (1)

Shengjing hospital of China medical university

Shenyang, Liaoning, 110004, China

RECRUITING

MeSH Terms

Conditions

Liver Abscess

Condition Hierarchy (Ancestors)

Abdominal Abscess; Abscess; Suppuration; Infections; Liver Diseases; Digestive System Diseases

Central Study Contacts

Zhihui Chang

CONTACT

+86 18940258437; Changzh@sj-hospital.org

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Clinical Professor

Study Record Dates

• First Submitted: July 3, 2024
• First Posted: July 17, 2024
• Study Start: January 1, 2024
• Primary Completion: December 30, 2024
• Study Completion: March 1, 2025
• Last Updated: July 17, 2024

Record last verified: 2024-07

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)