Systematic Review and Meta‐Analysis of Post‐Stroke Delirium Risk Prediction Models

谵妄 荟萃分析 冲程(发动机) 梅德林 医学 心理学 重症监护医学 内科学 工程类 机械工程 政治学 法学
作者
Q Yu,Liu Han,Hong Guo,S.T. Yang,Xueyan Fan,Haisheng Yuan,Tao Niu,Chunfeng Li,Dahua Zhang
出处
期刊:Journal of Advanced Nursing [Wiley]
标识
DOI:10.1111/jan.70137
摘要

ABSTRACT Aim To systematically review published studies on the post stroke delirium risk prediction models; and to provide the evidence for developing and updating the clinically available prediction models. Design Systematic review. Data Sources Systematically searched studies on 10 databases, which were conducted from inception to 9 January 2025. The studies of post‐stroke delirium risk prediction models were included. Methods Extracted the data from the selected studies. The Prediction Model Risk of Bias Assessment Tool checklist was used to evaluate the risk of bias of the models. The meta‐analysis of model performance and common predictors was performed by Revman 5.4 and Medcalc. Results A total of 12 studies were included, and 21 risk prediction models for post‐stroke delirium were constructed. The combined effect size of area under the receiver operating characteristic curve was 0.84. All studies were found to have a high risk of bias and good applicability. Meta‐analysis showed: National Institutes of Health Stroke Scale score, age, neutrophil‐to‐lymphocyte ratio, neglect, visual impairment and atrial fibrillation were independent predictors of post‐stroke delirium. Conclusion The included studies all found to have a high risk of bias; future studies should focus on adopting more scientifically rigorous study designs and following the standardised reporting guidelines to enhance extrapolation and facilitate its clinical application. Implications for the Profession This review may promote clinical healthcare workers to develop and update clinically available prediction models, thereby establishing risk prediction models with strong clinical utility. Impact This study presents the first systematic evaluation of delirium risk prediction models in stroke patients, thereby facilitating the choice, use and develop of the clinical usable post stroke delirium risk prediction models. Reporting Method This review adhered to the PRISMA guidelines. Patient or Public Contribution No patient or public contribution. Review Registration RD42024620360 (PROSPERO According to JAN Guidelines).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
hahah发布了新的文献求助20
刚刚
刚刚
顺心的千筹完成签到,获得积分10
刚刚
叫我大王完成签到,获得积分10
刚刚
1秒前
徐慕源发布了新的文献求助10
1秒前
1秒前
2秒前
FallWhit3发布了新的文献求助10
2秒前
叫我大王发布了新的文献求助10
3秒前
3秒前
3秒前
3秒前
00发布了新的文献求助10
3秒前
快乐的凡霜完成签到 ,获得积分10
4秒前
nkdailingyun发布了新的文献求助10
4秒前
4秒前
4秒前
科研通AI2S应助Qyyy采纳,获得10
4秒前
4秒前
还能不能学会了完成签到,获得积分10
5秒前
超飞完成签到,获得积分10
5秒前
6秒前
高兴的半仙完成签到,获得积分10
6秒前
6秒前
Litm完成签到 ,获得积分10
6秒前
fang完成签到,获得积分10
6秒前
健壮笑阳完成签到,获得积分10
6秒前
紫愿发布了新的文献求助10
7秒前
7秒前
秦磊发布了新的文献求助10
7秒前
王文胜完成签到 ,获得积分10
7秒前
星辰大海应助YHYHYH采纳,获得10
7秒前
共享精神应助液晶屏99采纳,获得10
8秒前
Yuki完成签到,获得积分10
8秒前
Meyako应助啊噢采纳,获得10
9秒前
高大从筠发布了新的文献求助10
9秒前
keep发布了新的文献求助30
9秒前
科研岗完成签到,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
줄기세포 생물학 800
Pediatric Injectable Drugs 500
Instant Bonding Epoxy Technology 500
Methodology for the Human Sciences 500
ASHP Injectable Drug Information 2025 Edition 400
DEALKOXYLATION OF β-CYANOPROPIONALDEYHDE DIMETHYL ACETAL 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4380709
求助须知:如何正确求助?哪些是违规求助? 3875332
关于积分的说明 12073378
捐赠科研通 3518535
什么是DOI,文献DOI怎么找? 1930956
邀请新用户注册赠送积分活动 972385
科研通“疑难数据库(出版商)”最低求助积分说明 870907