Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, 430022, China
Completed
NCT Number: NCT06491459
Predicting Postoperative Pulmonary Infection in Elderly Patients Undergoing Major Surgery: a Study Based on Logistic Regression and Machine Learning Models
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.
Completed
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Notify MeKey information
Age range
65 year and older
Sex eligibility
All sexes
Study type
Observational
Primary location
Who can participate
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
- age ≥ 65 years
- patients who were mechanically ventilated under major surgery
Exclusion criteria
- preoperative tracheal intubation
- preoperative pneumonia
- organ transplantation
- missing data
Treatment and study plan
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
Sponsors and collaborators
Lead sponsor
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Other
Registry information
Important dates
- Study start
- 2024
- Primary completion
- 2024
- Study completion
- 2024
- First posted
- Jul 9, 2024
- Registry last updated
- Jul 9, 2024
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.