Skip to content

Prevention and Treatment of Perioperative Lung Injury in Elderly Patients

Prevention and Treatment of Perioperative Lung Injury in Elderly Patients

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05701449
Enrollment
5000
Registered
2023-01-27
Start date
2023-01-31
Completion date
2023-12-31
Last updated
2023-01-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Elderly Patients, Postoperative Pulmonary Complications

Brief summary

This study aims to verify the prediction model of postoperative pulmonary complications by collecting clinical information on elderly patients. In addition, the incidence of postoperative pulmonary complications in elderly patients before and after using the prediction model was compared.

Detailed description

More than 300 million major operations are performed worldwide each year, and older patients account for about a third of elective operations. Compared with young people, the elderly are more prone to postoperative complications due to age-related degeneration of the physiological functions of various organs and tissues. Postoperative pulmonary complications, including pneumonia, atelectasis, and respiratory failure, are common. Even mild pulmonary complications can lead to the prolonged hospital stay and increased postoperative mortality. Although there have been many studies on postoperative lung complications, there have been few studies on elderly patients. In our country, the real incidence data of elderly patients after a perioperative period of pulmonary complications, the lack of effective prevention, intervention measures, and targeted prevention and treatment technology, these reasons lead to the clinical diagnosis and treatment of elderly patients after a perioperative period of pulmonary complications are very difficult. Therefore, the research team intends to verify the established prediction model of postoperative pulmonary complications and compare the incidence of postoperative pulmonary complications in elderly patients before and after using the prediction model.

Interventions

None listed

Sponsors

China-Japan Friendship Hospital
CollaboratorOTHER
Taihe Hospital
CollaboratorOTHER
Chinese PLA General Hospital
CollaboratorOTHER
First Affiliated Hospital of Zhejiang University
CollaboratorOTHER
First Affiliated Hospital of Guangxi Medical University
CollaboratorOTHER
Qinghai People's Hospital
CollaboratorOTHER
Shanxi Cardiovascular Hospital
CollaboratorOTHER
Wuhan No.1 Hospital
CollaboratorOTHER
Shiyan City Renmin Hospital
CollaboratorOTHER_GOV
Dongfeng General Hospital of Chinese Medicine
CollaboratorUNKNOWN
Xiangyang Central Hospital
CollaboratorOTHER
Xiangyang No.1 People's Hospital
CollaboratorOTHER
Hubei University of Medicine
CollaboratorOTHER
Yunxi Renmin Hospital
CollaboratorUNKNOWN
Yunyang Renmin Hospital
CollaboratorUNKNOWN
Zhuxi Renmin Hospital
CollaboratorUNKNOWN
Danjiangkou First Hospital
CollaboratorUNKNOWN
Shiyan Integrated Traditional and Western Medicine Hospital
CollaboratorUNKNOWN
Shiyan Traditional Chinese Medicine Hospital
CollaboratorUNKNOWN
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum

Inclusion criteria

1. Age 65 years or older 2. receiving invasive ventilation during general anesthesia for surgery

Exclusion criteria

1. preoperative mechanical ventilation 2. procedures related to a previous surgical complication 3. a second operation after surgery within one week 4. organ transplantation 5. discharged within 24 hours after surgery

Design outcomes

Primary

MeasureTime frame
Postoperative pulmonary complicationswithin one week after surgery

Secondary

MeasureTime frame
Length of postoperative hospital stay6 weeks after surgery
Postoperative Death6 weeks after surgery

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026