Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT06318364 |
Other study ID # |
TJ-IRB202402016 |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
January 20, 2024 |
Est. completion date |
December 30, 2024 |
Study information
Verified date |
March 2024 |
Source |
Tongji Hospital |
Contact |
Xiao Ran |
Phone |
15926207366 |
Email |
ranxiao1001[@]tjh.tjmu.edu.cn |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
This study aims to investigate the incidence of postoperative delirium (POD) in the PACU and
analyze its influencing factors, in order to provide theoretical basis for early screening
and intervention for high-risk POD population. Blood samples of some study subjects will be
collected and analyzed using molecular detection methods to provide a basis and insights into
the pathophysiological mechanisms of POD.
Description:
Study design type: Multi-center, observational, case-control study based on propensity score
matching. The leading unit is Tongji Hospital, Tongji Medical College, Huazhong University of
Science and Technology, and the participating unit is The First Hospital of Harbin Medical
University.
Record general clinical information, surgical-anesthesia-related information, recovery
indicators, pain status, adverse events in PACU, and occurrences of postoperative delirium of
all study subjects meeting the inclusion criteria of this study. Based on the occurrence of
postoperative delirium, the subjects will be divided into delirium group and non-delirium
group for univariate analysis. Univariate factors with statistical significance will be
included in a multiple logistic regression analysis to further identify risk factors for
postoperative delirium. Some selected factors can undergo ROC curve analysis to calculate the
optimal cutoff value. Due to the limited number of subjects experiencing postoperative
delirium, propensity score matching will be used to improve the statistical efficiency for
analysis of risk factors for postoperative delirium. Furthermore, for patients with
postoperative delirium, a small amount of blood samples will be collected by the researchers
for analysis of inflammatory factors and other components.