Development and Validation of the Prediction Model for Cognitive Impairment in Elderly Patients After Acute Ischemic Stroke
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 496
- 主要终点
- MMSE score
研究概览
简要总结
According to the "Chinese Stroke Report" released in 2020, the incidence of stroke in China is 1114.8/100,000, acute ischemic stroke (AIS) accounts for 70% to 80% of the total number of stroke population, and elderly stroke patients are up to 2/3. About 1/3 of stroke patients would experience post-stroke cognitive impairment (PSCI), which seriously affected patients' quality of life and survival time, and increases disease and economic burden. Therefore, early identification, assessment, prevention and intervention of PSCI, and improvement of patients' quality of life and prognosis have become the focus of clinical research.
This is a prospective cohort study. We intend to: (1) continuously collect elderly AIS patients who will be admitted to the Department of Neurology, The Department of Rehabilitation and the Department of Gerontology of Shenzhen Second People's Hospital from 2022 year to 2024 year; (2) collect baseline and follow-up data, and build a prediction model for cognitive impairment in elderly AIS patients; (3) internal validation using Bootstrap model; (4) collect the data of the elderly AIS patients who will be admitted to Shenzhen Longhua District People's Hospital andShenzhen Longgang Central Hospital, and conduct external validation; (5) evaluate the predictive efficacy of the model.
详细描述
This study consists of two parts. The first part is to develop a predictive model for cognitive impairment in elderly patients with acute ischemic stroke. Continuously collect the baseline data and follow-up data of elderly AIS patients admitted to the Shenzhen Second People's Hospital from September 2022 to December 2023, including general demographic data, laboratory examination indicators, imaging indicators and assessment scales. Take the occurrence of PSCI as the dependent variable and the risk factors of PSCI in elderly AIS patients will be analyzed. Multivariate Cox regression will be used to develop a prediction model for cognitive impairment in elderly AIS patients.
The second part is to do clinical evaluation of prediction model of cognitive impairment in elderly patients with acute ischemic stroke. Bootstrap method will be used for internal validation of the model. Continuously collect the data of elderly AIS patients from January 2024 to December 2024 from the other two hospitals in Guangdong Province, China. Externally validate the model and evaluate the clinical application effect of PSCI prediction model in elderly AIS patients using C-index, reclassification index, calibration curve, time-dependent ROC curve and other indicators. Finally, the model is presented by nomogram.
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
- 60 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients age 60 years or older.
- •Stroke occurring within 7 days.
- •Meet the diagnostic criteria of Chinese Guidelines for the Diagnosis and Treatment of Acute ischemic Stroke
- •Informed consent.
排除标准
- •Incomplete main clinical data;
- •Patients with transient ischemic attack;
- •Patients had cognitive dysfunction before enrollment.
结局指标
主要结局
MMSE score
时间窗: From July 1, 2022 to May 31, 2025
The primary outcome will be assessed by the Mini-mental State Examination(MMSE) scale
次要结局
未报告次要终点