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Different Algorithm Models to Predict Postoperative Pulmonary Complications in Elderly Patients

NCT05671939 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 10000

Last updated 2023-01-05

No results posted yet for this study

Summary

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

Conditions

  • Postoperative Pulmonary Complications

Sponsors & Collaborators

  • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

    lead OTHER

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-01-31
Primary Completion
2023-01-31
Completion
2023-03-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05671939 on ClinicalTrials.gov