Preoperative delirium is common and associated with poor clinical outcomes in elderly hip fracture patients. Although inflammatory markers have shown potential in predicting postoperative delirium, their relevance to preoperative delirium remains unclear. This study aimed to investigate the relationship between inflammatory markers and preoperative delirium to improve risk prediction and management strategies. We retrospectively studied 548 elderly hip fracture patients aged 70 years or older. The primary outcome was preoperative delirium diagnosed using the Confusion Assessment Method (CAM). Explanatory variables included inflammatory markers (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], systemic immune-inflammation index [SII], inflammatory burden index [IBI], and systemic inflammation response index [SIRI]). About 7.66% of patients developed preoperative delirium in the study. These patients were more likely to be older, have comorbid cardiovascular disease, and be transferred to an internal medicine ward for further treatment (P < .001). Multivariate analysis further revealed that older age (OR = 1.11, 95% CI = 1.04-1.18) and comorbid cardiovascular disease (OR = 2.94, 95% CI = 1.51-5.67) were independently associated with the occurrence of preoperative delirium. No significant differences were observed between groups for inflammatory markers: NLR (P = .70), PLR (P = .09), IBI (P = .09), SII (P = .21), or SIRI (P = .80). Older age and cardiovascular comorbidities were independent risk factors for preoperative delirium. No significant associations were found with inflammatory markers. Future research should explore additional biomarkers to refine risk stratification in this population.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/MD.0000000000041569 | DOI Listing |
Int J Nurs Stud
February 2025
School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Department of Nursing, Taipei Medical University Hospital, Taipei, Taiwan; Research Center of Sleep Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Research Center of Sleep Medicine, Taipei Medical University Hospital, Taipei, Taiwan. Electronic address:
Background: Children receiving general anesthesia while undergoing surgery have a significantly high incidence of emergence delirium (ED). Nonpharmacological interventions yield beneficial effects on preventing pediatric ED. However, the relative effects of nonpharmacological interventions on pediatric ED prevention based on various perioperative phases remain unknown.
View Article and Find Full Text PDFMedicine (Baltimore)
March 2025
Department of Hip Traumatology, Tianjin Hospital, Tianjin University, Tianjin, China.
Preoperative delirium is common and associated with poor clinical outcomes in elderly hip fracture patients. Although inflammatory markers have shown potential in predicting postoperative delirium, their relevance to preoperative delirium remains unclear. This study aimed to investigate the relationship between inflammatory markers and preoperative delirium to improve risk prediction and management strategies.
View Article and Find Full Text PDFEur Geriatr Med
March 2025
Institute for Geriatric Research, AGAPLESION Bethesda Ulm, Ulm University Medical Center, Zollernring 26, 89073, Ulm, Germany.
Purpose: In this prospective external validation study, we examined the performance of the Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead) postoperative delirium (POD) prediction algorithm. SURGE-Ahead is a collaborative project that aims to develop a clinical decision support system that uses predictive models to support geriatric co-management in surgical wards. Delirium is a common complication in older adults after surgery, leading to poor outcomes and increased healthcare costs.
View Article and Find Full Text PDFSupport Care Cancer
March 2025
Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, China.
Background: Analyze the risk factors for postoperative delirium (POD) in elderly patients undergoing radical prostatectomy, and built a predictive nomogram model for early identification of high-risk individuals.
Methods: A total of 156 patients was recruited and categorized based on whether the development of POD within 7 days post-surgery. After identifying independent risk factors through univariate and multivariate logistic regression analyses, predictive models were established.
Contemp Nurse
March 2025
Centre for Clinical Guideline, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Background: Postoperative delirium is believed to be preventable in up to 40% of all cases. Researchers have proposed various preoperative risk prediction models for postoperative delirium in patients undergoing cardiac surgery, however, no consensus exists on which model is the most suitable.
Aim: To identify and map existing preoperative risk prediction models, detecting cardiac surgery patients at elevated risk of developing postoperative delirium.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!