Development of A Screening Tool to Predict Post Intensive Care Syndrome (PICS) in Critically Ill Adults in a Prospective Cohort.

IF 2.3 3区 医学 Q2 CRITICAL CARE MEDICINE
Journal of Intensive Care Medicine Pub Date : 2026-10-01 Epub Date: 2026-03-07 DOI:10.1177/08850666261425642
Kathryn T Del Valle, Benjamin Re Harris, Matthew Clark, Kemuel Philbrick, Ellie Cipriani, Patrick Cornelius, Allison M LeMahieu, Phillip Schulte, Kelly Sonsalla, Siva Kamal Guntupalli, Andrea Johnson, Kristin Muir, Lioudmila V Karnatovskaia
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引用次数: 0

Abstract

PurposeSurvivors of critical illness often acquire significant physical, cognitive, and psychological burdens following their intensive care unit (ICU) stay, termed "post-intensive care syndrome" (PICS). Screening for PICS is generally not performed outside of research settings largely due to lack of a simple assessment tool and time constraints.MethodsThis was a prospective cohort study at a single academic medical center in the USA. We included adults (18 years or older) who spent greater than 48 h in any ICU within the medical center. Following transfer out of the ICU and at 3 months, psychological, cognitive, and physical functioning were assessed using the Hospital Anxiety and Depression Scale, Impact of Event Scale-Revised, Montreal Cognitive Assessment-blind, and Barthel Index. We compared these validated questionnaires to a brief, 15-item PICS screening tool (5 questions/domain) that was developed by our multidisciplinary study team and administered to study participants after ICU discharge to general care. The primary objectives of this study were to assess the ability of validated screening tools administered at ICU discharge to predict PICS at 3 months and develop a novel screening tool for identifying patients at risk of PICS.Major Findings191 participants completed the initial questionnaire, and 109 (56%) completed the 3-month follow-up. PICS tool scores were compared to 3-month follow-up data from validated questionnaires to evaluate predictive performance. Overall, the screening tool weakly-to-moderately correlated with continuous outcomes of the validated measures at 3-month follow-up. When evaluating sensitivity and specificity for individual domains, the screening tool had an area under curve of >0.7 for all three domains, indicating moderate-to-good sensitivity and specificity.ConclusionsWe developed a brief PICS screening tool that is feasible to use without prior training that modestly predicted the development of PICS following ICU stay.

在一个前瞻性队列中预测危重成人重症监护后综合征(PICS)的筛查工具的开发。
危重疾病的幸存者在重症监护病房(ICU)住院后,通常会产生严重的身体、认知和心理负担,称为“重症监护后综合征”(PICS)。对PICS的筛查通常不会在研究环境之外进行,这主要是由于缺乏简单的评估工具和时间限制。方法:这是一项在美国单一学术医学中心进行的前瞻性队列研究。我们纳入了在医疗中心任何ICU住院超过48小时的成人(18岁或以上)。出院后3个月,使用医院焦虑和抑郁量表、事件影响量表修订、蒙特利尔认知盲评估和Barthel指数对患者的心理、认知和身体功能进行评估。我们将这些经过验证的问卷与一个简短的15项PICS筛选工具(5个问题/域)进行比较,该工具是由我们的多学科研究团队开发的,用于研究ICU出院后转入普通护理的参与者。本研究的主要目的是评估在ICU出院时使用经过验证的筛查工具来预测3个月时PICS的能力,并开发一种新的筛查工具来识别有PICS风险的患者。191名参与者完成了最初的问卷调查,109名(56%)完成了为期3个月的随访。PICS工具得分比较来自验证问卷的3个月随访数据,以评估预测性能。总体而言,筛查工具与3个月随访时验证措施的连续结果呈弱至中度相关。在评估单个域的敏感性和特异性时,筛选工具对所有三个域的曲线下面积均为>.7,表明中度至良好的敏感性和特异性。结论:我们开发了一种简单的PICS筛查工具,无需事先培训即可使用,可以适度预测ICU住院后PICS的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Intensive Care Medicine
Journal of Intensive Care Medicine CRITICAL CARE MEDICINE-
CiteScore
7.60
自引率
3.20%
发文量
107
期刊介绍: Journal of Intensive Care Medicine (JIC) is a peer-reviewed bi-monthly journal offering medical and surgical clinicians in adult and pediatric intensive care state-of-the-art, broad-based analytic reviews and updates, original articles, reports of large clinical series, techniques and procedures, topic-specific electronic resources, book reviews, and editorials on all aspects of intensive/critical/coronary care.
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