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Perioperative Database of Chinese Elderly Patients

Perioperative Database of Chinese Elderly Patients

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04911530
Acronym
PDCEP
Enrollment
10000
Registered
2021-06-03
Start date
2020-04-01
Completion date
2025-12-31
Last updated
2023-06-01

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

Conditions

Perioperative Adverse Events, Perioperative Complications, Perioperative/Postoperative Complications

Keywords

central nervous system complications, heart injury, acute kidney injury, lung injury, infection, pain

Brief summary

The investigators aim to establish a prospective database of perioperative elderly patients from multiple regions and centers. Collected data involves postoperative complications of the central nervous system, cardiovascular system, kidney, respiratory system, infection, pain, and other perioperative complications. Based on the database, the investigators intend to explore: * The incidence and risk factors of perioperative morbidity and mortality in elderly patients; * Perioperative risk assessment methods and early warning models for elderly patients; * Practical, safe, and effective risk prevention and control system through subsequent studies.

Detailed description

As the population aging is speeding up, senile diseases have become a significant and severe public health problem, influencing national health. More than 20 million elderly patients undergo surgery each year in China, accounting for a quarter of the population who undergo surgery. Advanced age and comorbid diseases render the elderly at increased risk of postoperative morbidity and mortality. The incidence of postoperative complications is twice that of non-elderly patients, and mortality rates are five times higher than non-elderly patients. Thus, it is a significant challenge to safely and stably ensure the elderly are in an optimal perioperative period. For the good of optimizing perioperative management, it is urgent to build a large-sample, multi-center database. Based on this database, the investigators can explore new risk assessment methods and establish a perioperative risk prediction model and early warning system suitable for elderly patients. It will help improve this group of patients' short- and long-term outcomes and thus reduce the economic burden of national health and medical resources. In this context, establishing a clinical database including data for all perioperative elderly patients is of high interest. This database will allow the investigators to carry out clinical research on: * Clinical, biological, and genetic factors predictive of perioperative complications and deaths; * Systematic and individualized evaluation tools for elderly patients; * Prognostic factors for improving short- and long-term outcomes. This is particularly significant for rare clinical evidence of perioperative elderly patients for which the current knowledge is scarce. The database will also allow the investigators to develop or participate in multi-center trials, national or international, and facilitate the formation of perioperative data collection standards.

Interventions

OTHERno intervention

no intervention

Sponsors

Beijing Tiantan Hospital
CollaboratorOTHER
Peking University First Hospital
CollaboratorOTHER
The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
CollaboratorOTHER
Xiangya Hospital of Central South University
CollaboratorOTHER
Beijing Anzhen Hospital
CollaboratorOTHER
Central South University
CollaboratorOTHER
Peking University People's Hospital
CollaboratorOTHER
Zhejiang University
CollaboratorOTHER
Fudan University
CollaboratorOTHER
Sun Yat-sen University
CollaboratorOTHER
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
CollaboratorOTHER
China-Japan Friendship Hospital
CollaboratorOTHER
The Affiliated Hospital Of Guizhou Medical University
CollaboratorOTHER
First Affiliated Hospital of Xinjiang Medical University
CollaboratorOTHER
First Affiliated Hospital of Guangxi Medical University
CollaboratorOTHER
Taihe Hospital
CollaboratorOTHER
Zhejiang Provincial People's Hospital
CollaboratorOTHER
Shanghai Zhongshan Hospital
CollaboratorOTHER
Chinese PLA General Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Geriatric surgical patients ≥65 years old, undergoing elective surgery with a planned overnight hospital stay following surgery.

Exclusion criteria

* Patients fully refused to participate in the study; * Patients with severe dementia, language disorder, severe hearing or visual impairment, coma, and end-stage status were excluded; * Patients whose surgeries were canceled; * Patients accepted cardiac surgeries were excluded from the heart injury section; * Patients accepted cardiac, neurosurgeries or were excluded from postoperative central nervous system and pain observation section; * Patients refused to participate in neurocognitive, anxiety, depression, or pain questionnaire were excluded from relative assessment and measurement.

Design outcomes

Primary

MeasureTime frameDescription
Postoperative complicationsUp to 30 daysClinical data of postoperative complications in the medical record and follow-up update. Postoperative complications, including central nervous system injury, heart injury, acute kidney injury, lung injury, infection, and pain.
Postoperative SurvivalUp to 30 daysClinical data of survival in the medical record and follow-up update.

Other

MeasureTime frameDescription
Postoperative Survival1 year after surgeriesClinical data of survival in the medical record and follow-up update.
Postoperative complications1 year after surgeriesClinical data of postoperative complications in the medical record and follow-up update. Postoperative complications, including central nervous system injury, heart injury, acute kidney injury, lung injury, infection, and pain.

Countries

China

Contacts

Primary ContactWeidong Mi, PhD
wwdd1962@aliyun.com8613381082966
Backup ContactJingsheng Lou, PhD
loujingsheng@163.com8613811065322

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 8, 2026