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Clinical Trials/NCT06491459
NCT06491459
Completed
Not Applicable

Predicting Postoperative Pulmonary Infection in Elderly Patients Undergoing Major Surgery: a Study Based on Logistic Regression and Machine Learning Models

Wuhan Union Hospital, China1 site in 1 country9,481 target enrollmentJanuary 1, 2024

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Postoperative Pulmonary Infection in Elderly Patients
Sponsor
Wuhan Union Hospital, China
Enrollment
9481
Locations
1
Primary Endpoint
the incidence of postoperative pulmonary infection during hospitalization
Status
Completed
Last Updated
last year

Overview

Brief Summary

Although a number of clinical predictive models were developed to predict postoperative pulmonary infection, few predictive models have been used in elderly patients. In this study, the researchers aim to compare different algorithms to predict postoperative pulmonary infection in elderly patients and to assess the risk of postoperative pulmonary infection in elderly patients.

Registry
clinicaltrials.gov
Start Date
January 1, 2024
End Date
June 1, 2024
Last Updated
last year
Study Type
Observational
Sex
All

Investigators

Sponsor
Wuhan Union Hospital, China
Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • age ≥ 65 years
  • patients who were mechanically ventilated under major surgery

Exclusion Criteria

  • preoperative tracheal intubation
  • preoperative pneumonia
  • organ transplantation
  • missing data

Outcomes

Primary Outcomes

the incidence of postoperative pulmonary infection during hospitalization

Time Frame: through study completion, an average of 30 days

the incidence of postoperative pulmonary infection during hospitalization

Study Sites (1)

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