Prediction of Postoperative Cognitive Dysfunction and Delirium: A Prospective Observational Study to Develop a Risk Score in Elderly Patients Undergoing Transurethral Resection
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 150
- 试验地点
- 1
- 主要终点
- Incidence of postoperative cognitive dysfunction and delirium
研究概览
简要总结
Elderly patients undergoing transurethral resection are at increased risk of postoperative cognitive dysfunction (POCD) and delirium, which are associated with prolonged hospital stay, increased morbidity, and decreased quality of life. Identifying patients who are more likely to develop postoperative cognitive dysfunction or delirium remains a practical challenge in daily clinical practice. Better recognition of these patients may help tailor perioperative care and improve outcomes.
This prospective observational study aims to identify perioperative factors associated with POCD and delirium in elderly patients undergoing transurethral resection and to develop a clinically applicable risk prediction model. Cognitive function and delirium are assessed using the Montreal Cognitive Assessment (MoCA) and the Confusion Assessment Method (CAM).
Cognitive function and delirium will be evaluated using the Montreal Cognitive Assessment (MoCA) and the Confusion Assessment Method (CAM).
The results of this study may support clinicians in recognizing vulnerable patients earlier and may contribute to more individualized perioperative management.
详细描述
Postoperative cognitive dysfunction (POCD) and delirium are frequently encountered in elderly patients after surgery and are linked to unfavorable clinical outcomes. Transurethral resection procedures, which are commonly performed in this age group, may further increase this risk due to both patient-related and perioperative factors.
In this prospective observational cohort, patients aged 65 years and older undergoing transurethral resection at Mugla Training and Research Hospital are followed to determine the incidence of POCD and delirium and to identify perioperative factors associated with their development.
Before surgery, demographic characteristics, comorbidities, frailty status, and baseline cognitive function are recorded. Baseline cognitive function is assessed using the Montreal Cognitive Assessment (MoCA). During surgery, the anesthesia technique, procedure duration, intraoperative hemodynamic changes, and perioperative events are recorded.
After surgery, cognitive function and delirium are assessed at predefined intervals using MoCA and the Confusion Assessment Method (CAM).
The primary objective is to identify factors independently associated with POCD and delirium. In addition, a prediction model is developed using multivariable logistic regression, and its performance is evaluated by receiver operating characteristic (ROC) analysis.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 65 Years 至 —（Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Age ≥65 years
- •Scheduled for transurethral resection procedure
- •ASA physical status I-III
- •Able to provide informed consent
- •Adequate cognitive function to complete preoperative assessment
排除标准
- •Pre-existing diagnosis of dementia or severe cognitive impairment (MoCA <18)
- •Severe visual or hearing impairment preventing cognitive assessment
- •History of psychiatric disease requiring antipsychotic or sedative medication
- •Neurological disorders associated with increased delirium risk (e.g., Parkinson's disease, epilepsy)
- •Inability to complete study assessments
结局指标
主要结局
Incidence of postoperative cognitive dysfunction and delirium
时间窗: Baseline (preoperative) and postoperative days 1, 2, and 3
Postoperative cognitive dysfunction and delirium assessed using the Montreal Cognitive Assessment (MoCA) and the Confusion Assessment Method (CAM). POCD is defined as a decline in MoCA score compared with baseline, and delirium is identified based on CAM criteria.
次要结局
- Risk factors associated with POCD and delirium(From baseline (preoperative) through postoperative day 3)
- Performance of the predictive risk model(Through study completion (anticipated November 2026))
研究者
Eylem Yaşar
Anesthesiologist
Muğla Sıtkı Koçman University