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- Title
Incidence and Risk Factors of Sub-syndromal Delirium in Patients after Cardiac Surgery.
- Authors
Baoyi YANG; Longti LI; Na WANG; Yan ZHAN; Lei CAO; Rong WANG
- Abstract
[Objectives] This study aimed to investigate the incidence and risk factors associated with SSD in patients following cardiac surgery. [Methods] A total of 378 patients who underwent cardiac surgery in Taihe Hospital were recruited and screened. Diagnosis of delirium was made using evaluation methods and DSM-5 criteria. SSD was defined as the presence of one or more core features of delirium without meeting the full diagnostic criteria. Statistical analysis included independent samples t-test for group comparisons and binary logistic regression analysis to identify independent risk factors for SSD after cardiac surgery. [Results] Among the 378 subjects, 112 (29.63%) had SSD, 28 (7.41%) had delirium, and the remaining 238 patients (62.96%) did not present with delirium. Univariate analysis revealed that age, APACHE II score, duration of aortic clamping, length of ICU stay, duration of sedation use, and daily sleep time were significant risk factors for the occurrence of SSD (P<0.05). Logistic regression analysis identified age >70 years old, APACHE II score >20 points, length of ICU stay >5 d, and duration of sedation use >24 h as independent risk factors for SSD after cardiac surgery (P<0.05). A functional model was fitted based on the analysis results of the binary logistic regression model, yielding the equation logit P=1.472X1+2.213X2+3.028X3+1.306X4. [Conclusions] Comprehensive clinical assessment is crucial for patients undergoing cardiac surgery, and appropriate preventive measures should be taken for patients with identified risk factors. Close monitoring of the patient's consciousness should be implemented postoperatively, and timely interventions should be conducted. Further research should focus on model validation and optimization.
- Subjects
CARDIAC surgery; LOGISTIC regression analysis; INTENSIVE care units; DISEASE risk factors; UNIVARIATE analysis
- Publication
Medicinal Plant, 2024, Vol 15, Issue 1, p62
- ISSN
2152-3924
- Publication type
Article
- DOI
10.19600/j.cnki.issn2152-3924.2024.01.016