Nomogram Model for Predicting Risk of Postoperative Delirium After Deep Brain Stimulation Surgery in Patients Older Than 50 Years with Parkinson Disease

列线图 医学 谵妄 回顾性队列研究 入射(几何) 接收机工作特性 脑深部刺激 外科 疾病 内科学 物理疗法 帕金森病 重症监护医学 物理 光学
作者
Ling Zhan,Xueqi Wang,Lixiang Zhang
出处
期刊:World Neurosurgery [Elsevier]
卷期号:139: e127-e135 被引量:26
标识
DOI:10.1016/j.wneu.2020.03.160
摘要

To explore the influencing factors of postoperative delirium (POD) after deep brain electric stimulation (DBS) in patients older than 50 years with Parkinson disease (PD) and to construct a nomogram model to predict the risk of POD.A retrospective cohort study was conducted of 229 patients older than 50 years with PD hospitalized from January 2015 to August 2019. All patients received DBS during hospitalization. The incidence of POD of patients and clinical data such as gender, age, educational level, and duration of disease were collected, the influencing factors of POD of patients with PD were analyzed, and a nomogram model for predicting the risk of POD was established.POD occurred in 47 of 229 patients with PD, with an incidence rate of 20.52%. Gender, age, Parkinson's Disease Sleep Scale score, preoperative cerebral ischemia, preoperative pulmonary inflammation, and preoperative length of stay are the influencing factors of POD in patients older than 50 years with PD (P < 0.05). After deviation correction, the area under the receiver operating characteristic curve of the nomogram model for predicting POD risk is 0.755, the sensitivity is 74.47%, and the specificity is 73.08%. The mean absolute error between the prediction of POD risk by the nomogram model and actual delirium risk is 0.024, suggesting that the nomogram model has good prediction efficiency.Based on the influencing factors of delirium after DBS for patients older than 50 years with PD, the nomogram model for predicting the risk of POD has been established in this study. The prediction efficiency is good, which can provide a reference for early clinical identification of high-risk patients and formulate interventional countermeasures as soon as possible.
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
甜蜜发带完成签到 ,获得积分10
1秒前
NEO完成签到 ,获得积分10
3秒前
Brave发布了新的文献求助30
4秒前
深情安青应助武雨寒采纳,获得10
4秒前
糖宝完成签到 ,获得积分0
6秒前
崩溃完成签到,获得积分10
11秒前
。。完成签到 ,获得积分10
13秒前
拓小八完成签到,获得积分0
13秒前
朝阳完成签到,获得积分10
14秒前
丫丫完成签到 ,获得积分10
18秒前
王明阳完成签到 ,获得积分10
18秒前
CY完成签到,获得积分10
20秒前
77完成签到,获得积分10
20秒前
秀丽的芷珍完成签到 ,获得积分10
20秒前
wzh完成签到 ,获得积分10
26秒前
28秒前
852应助特图图采纳,获得30
28秒前
abc完成签到 ,获得积分10
31秒前
34秒前
唐嘉为发布了新的文献求助10
37秒前
呼延坤完成签到 ,获得积分10
39秒前
情怀应助super_mqr采纳,获得30
44秒前
哥哥完成签到,获得积分10
44秒前
Akim应助哥哥采纳,获得10
47秒前
卡机了完成签到,获得积分10
52秒前
54秒前
LELE完成签到 ,获得积分10
56秒前
牛仔完成签到 ,获得积分10
57秒前
23完成签到 ,获得积分10
59秒前
super_mqr发布了新的文献求助30
59秒前
小果完成签到 ,获得积分10
59秒前
英俊的铭应助danrushui777采纳,获得10
1分钟前
super_mqr完成签到,获得积分10
1分钟前
wlscj举报xieyuanxing求助涉嫌违规
1分钟前
1分钟前
isedu完成签到,获得积分0
1分钟前
Bismarck完成签到,获得积分20
1分钟前
danrushui777发布了新的文献求助10
1分钟前
pengyh8完成签到 ,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
A complete Carnosaur Skeleton From Zigong, Sichuan- Yangchuanosaurus Hepingensis 四川自贡一完整肉食龙化石-和平永川龙 600
Vertebrate Palaeontology, 5th Edition 500
Fiction e non fiction: storia, teorie e forme 500
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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5325393
求助须知:如何正确求助?哪些是违规求助? 4465883
关于积分的说明 13894981
捐赠科研通 4358134
什么是DOI,文献DOI怎么找? 2393924
邀请新用户注册赠送积分活动 1387336
关于科研通互助平台的介绍 1358067