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

July 8, 2024 updated by: Wuhan Union Hospital, China
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.

Study Overview

Study Type

Observational

Enrollment (Actual)

9481

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Hubei
      • Wuhan, Hubei, China, 430022
        • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Elderly patients underwent surgery at the tertiary hospital Hospital from January 2014 to December 2019.

Description

Inclusion Criteria:

  1. age ≥ 65 years
  2. patients who were mechanically ventilated under major surgery

Exclusion Criteria:

  1. preoperative tracheal intubation
  2. preoperative pneumonia
  3. organ transplantation
  4. missing data

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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
through study completion, an average of 30 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2024

Primary Completion (Actual)

June 1, 2024

Study Completion (Actual)

June 1, 2024

Study Registration Dates

First Submitted

June 27, 2024

First Submitted That Met QC Criteria

July 8, 2024

First Posted (Actual)

July 9, 2024

Study Record Updates

Last Update Posted (Actual)

July 9, 2024

Last Update Submitted That Met QC Criteria

July 8, 2024

Last Verified

June 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • UHCT21772

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Postoperative Pulmonary Infection in Elderly Patients

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