Predicting Postoperative Pulmonary Infection in Elderly Patients Undergoing Major Surgery: a Study Based on Logistic Regression and Machine Learning Models
NCT ID: NCT06491459
Last Updated: 2024-07-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
9481 participants
OBSERVATIONAL
2024-01-01
2024-06-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
2. patients who were mechanically ventilated under major surgery
Exclusion Criteria
2. preoperative pneumonia
3. organ transplantation
4. missing data
65 Years
ALL
No
Sponsors
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Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
OTHER
Responsible Party
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Locations
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Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China
Countries
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References
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Liu J, Li X, Wang Y, Xu Z, Lv Y, He Y, Chen L, Feng Y, Liu G, Bai Y, Xie W, Wu Q. Predicting postoperative pulmonary infection in elderly patients undergoing major surgery: a study based on logistic regression and machine learning models. BMC Pulm Med. 2025 Mar 19;25(1):128. doi: 10.1186/s12890-025-03582-4.
Other Identifiers
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UHCT21772
Identifier Type: -
Identifier Source: org_study_id
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