Postoperative Pulmonary Infection in Elderly PatientsNCT06491459
Predicting Postoperative Pulmonary Infection in Elderly Patients Undergoing Major Surgery: a Study Based on Logistic Regression and Machine Learning Models
An observational study of Postoperative Pulmonary Infection in Elderly Patients, run by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology at 1 site in China.
Trial 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… Read more about this study
- Who is it for?
- Ages 65 years and older
- Conditions the study is for
- Postoperative Pulmonary Infection in Elderly Patients
- How many people
- 9,481 participants
- Where
- 1 siteChina
- Study dates
- 1 Jan 2024to 1 Jun 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 65 years and older
- All sexes
- No healthy volunteers
- Older adult
Study population: Elderly patients underwent surgery at the tertiary hospital Hospital from January 2014 to December 2019.
Who may be able to join
- age ≥ 65 years
- patients who were mechanically ventilated under major surgery
Who cannot join
- preoperative tracheal intubation
- preoperative pneumonia
- organ transplantation
- missing data
Trial locations and contacts
1 site in 1 country.
China1 site
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, 430022
About this study
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.
What is being measured
The primary outcome is the main question the study is designed to answer.
the incidence of postoperative pulmonary infection during hospitalization
the incidence of postoperative pulmonary infection during hospitalization
Measured: through study completion, an average of 30 days
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted9 Jul 2024
- Study start1 Jan 2024
- Primary completion1 Jun 2024
- Study completion1 Jun 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Postoperative Pulmonary Infection in Elderly PatientsStudies of the same condition, open and under way.
- More trials run by Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 9,481 participants (actual)
Sponsor and investigators
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06491459
- Sponsor's protocol ID
- UHCT21772
- Status last verified
- Jun 2024
- First submitted
- 27 Jun 2024
- Last updated
- 9 Jul 2024
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
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.
PubMed 40108569
Study at a glance
From the registry record, last updated by the sponsor on 9 Jul 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Predicting Postoperative Pulmonary Infection in Elderly Patients Undergoing Major Surgery: a Study Based on Logistic Regression and Machine Learning Models
- ClinicalTrials.gov ID
- NCT06491459
- Acronym / sponsor ID
- UHCT21772
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 9,481 participants (actual)
- Lead sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyUniversity, hospital or other
- Study start
- 1 Jan 2024 (actual)
- Primary completion
- 1 Jun 2024 (actual)
- Study completion
- 1 Jun 2024 (actual)
- First posted
- 9 Jul 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Cohort
- Time perspective
- Retrospective
Who may qualify
- Ages
- 65 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Older adult
- Study population
- Elderly patients underwent surgery at the tertiary hospital Hospital from January 2014 to December 2019.
Key inclusion criteria (2 listed)
- age ≥ 65 years
- patients who were mechanically ventilated under major surgery
Key exclusion criteria (4 listed)
- preoperative tracheal intubation
- preoperative pneumonia
- organ transplantation
- missing data
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
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
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 9 Jul 2024.
- Derived from this study: PubMed 40108569Liu 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.
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Postoperative Pulmonary Infection in Elderly Patients, run by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 9 Jul 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
the incidence of postoperative pulmonary infection during hospitalization (time frame: through study completion, an average of 30 days). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06491459, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 9 Jul 2024.