Delirium as a predictor of longer hospital stays in mechanically ventilated patients

作者
I Kiran,Indupalli Madhuri,Anjani Sravanthi Kotturi
出处
期刊:International Journal of Medical Science and Public Health [ScopeMed]
卷期号:4 (4): 544-544 被引量:1
标识
DOI:10.5455/ijmsph.2015.11122014112
摘要

Background: Respiratory failure is one condition that needs mechanical ventilation in the intensive care unit (ICU). Patients in the ICU are highly vulnerable to the development of delirium due to various reasons. Delirium is associated with more deaths, longer ICU stay, and higher cost. Objective: This study was carried out to determine the relationship between delirium and length of stay in ICU and hospital among mechanically ventilated ICU patients. Materials and Methods: This was a prospective study, conducted on 105 consecutively admitted medical ICU patients requiring mechanical ventilation during hospitalization from 1 June 2013 to 1 may 2014. We assessed delirium using the Confusion Assessment Method for the ICU and Richmond Agitation–Sedation Scale. Cox proportional hazards regression analysis was used to assess the effects of delirium and to determine the relationship between delirium and its variables. Results: Of 105 patients, 48 (45%) patients experienced delirium. Patients who experienced delirium were older in age (mean±SD: 54±16 versus 47±15 years) compared to their counterparts who did not experience delirium. They had a 39% greater risk of remaining in the ICU on any given day even after adjusting for age, gender, race, Charlson comorbidity score, APACHE II score, and coma (HR: 1.12; 95% CI: 0.83–1.52, p = 0.06). Similarly, patients who experienced delirium had a 45% greater risk of remaining in the hospital after adjusting for the same covariates (HR: 1.9; 95% CI 1.3–2.9; p < 0.01). Conclusion: In this study, delirium occurred in nearly half of the mechanically ventilated ICU patients. Even after adjustment for relevant covariates, delirium patients had longer ICU and hospital stay. So delirium is found to be a predictor of longer hospital stays in mechanically ventilated patients.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
1秒前
负责的含玉完成签到,获得积分10
3秒前
3秒前
Zhao完成签到 ,获得积分10
4秒前
XANXUS完成签到,获得积分10
6秒前
CLW发布了新的文献求助10
7秒前
dorbir发布了新的文献求助10
7秒前
花花子完成签到 ,获得积分10
12秒前
俊秀的问旋完成签到 ,获得积分10
13秒前
yx完成签到 ,获得积分10
16秒前
Elsevier大王的应助被负责的含玉采纳,获得200
17秒前
机灵的沂完成签到,获得积分10
17秒前
liuteng完成签到 ,获得积分10
23秒前
灵巧的谷南完成签到 ,获得积分10
23秒前
liu95完成签到 ,获得积分0
23秒前
zhang完成签到 ,获得积分10
29秒前
赘婿的应助被dorbir采纳,获得10
29秒前
睡前来杯黑咖啡完成签到,获得积分10
30秒前
江涸完成签到,获得积分10
30秒前
魔幻的松思完成签到,获得积分10
31秒前
roundtree完成签到 ,获得积分0
33秒前
思源的应助被科研通管家采纳,获得10
34秒前
英姑的应助被科研通管家采纳,获得10
34秒前
美菇完成签到 ,获得积分10
34秒前
慕青的应助被科研通管家采纳,获得10
34秒前
英姑的应助被科研通管家采纳,获得10
34秒前
上官若男的应助被科研通管家采纳,获得10
34秒前
小元元完成签到 ,获得积分10
39秒前
科研通AI6.2的应助被甄雨琦采纳,获得10
45秒前
在水一方的应助被摆渡人采纳,获得10
45秒前
xixi2517完成签到,获得积分10
48秒前
yolo完成签到 ,获得积分10
51秒前
qiancib202完成签到,获得积分0
53秒前
慧子完成签到 ,获得积分10
53秒前
yet完成签到 ,获得积分10
56秒前
M_Aeris的应助被Eric采纳,获得10
57秒前
zzz123完成签到 ,获得积分10
58秒前
xurui_s完成签到 ,获得积分10
1分钟前
在路上完成签到 ,获得积分10
1分钟前
Richard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
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Oncology Clinical Trials: Successful Design, Conduct, and Analysis, Second Edition 800
Sustainable Engineered Micro/Nanofibers and Hybrid Nanocomposites for Environmental Remediation 400
Ecotourism 400
Liquidus diagram and viscosity estimation in pseudo-binary system Li2B6O10–LiF 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8076062
求助须知:如何正确求助?哪些是违规求助? 9494142
关于积分的说明 21378281
捐赠科研通 7643973
什么是DOI,文献DOI怎么找? 3399993
关于科研通互助平台的介绍 2529768
邀请新用户注册赠送积分活动 2438664