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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.


Clinical Trial 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. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06318364
Study type Observational
Source Tongji Hospital
Contact Xiao Ran
Phone 15926207366
Email ranxiao1001@tjh.tjmu.edu.cn
Status Recruiting
Phase
Start date January 20, 2024
Completion date December 30, 2024

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