Hong Jiwon, Kang Jiyeon
Department of Nursing, Youngsan University, Yangsan-si 50510, Republic of Korea.
College of Nursing, Dong-A University, Busan 49201, Republic of Korea.
J Clin Med. 2025 Jun 1;14(11):3897. doi: 10.3390/jcm14113897.
: Post-intensive care syndrome (PICS) affects over half of intensive care unit (ICU) survivors, impairing their long-term health and quality of life. Although the Post-Intensive Care Syndrome Questionnaire (PICSQ) was developed to measure PICS, validated cutoff values for screening are lacking. This study aimed to determine optimal cutoff values for each domain of the PICSQ. : A total of 475 ICU survivors completed the PICSQ three months after discharge. Receiver operating characteristic (ROC) curve analyses were conducted to determine optimal cutoff values for each domain. The criterion tools included the Hospital Anxiety and Depression Scale, the Posttraumatic Diagnostic Scale, the Activities of Daily Living scale, and the Montreal Cognitive Assessment. Health-related quality of life and hospital readmission rates were compared between groups classified by the determined cutoffs. : The optimal cutoff values were ≥3 for mental, ≥7 for physical, and ≥2 for cognitive domains, with area under the curve (AUC) values of 0.83, 0.84, and 0.80, respectively. The participants scoring above these cutoffs had significantly lower quality of life and higher readmission rates. : The determined cutoff values may support early screening of PICS in ICU survivors, enabling timely interventions to improve long-term outcomes. Further research is needed to validate these values in diverse populations.
重症监护后综合征(PICS)影响超过半数的重症监护病房(ICU)幸存者,损害他们的长期健康和生活质量。尽管开发了重症监护后综合征问卷(PICSQ)来测量PICS,但缺乏用于筛查的经过验证的临界值。本研究旨在确定PICSQ各领域的最佳临界值。
共有475名ICU幸存者在出院三个月后完成了PICSQ。进行了受试者操作特征(ROC)曲线分析以确定每个领域的最佳临界值。标准工具包括医院焦虑抑郁量表、创伤后诊断量表、日常生活活动量表和蒙特利尔认知评估。比较了根据确定的临界值分类的组之间的健康相关生活质量和医院再入院率。
精神领域的最佳临界值为≥3,身体领域为≥7,认知领域为≥2,曲线下面积(AUC)值分别为0.83、0.84和0.80。得分高于这些临界值的参与者生活质量显著较低,再入院率较高。
确定的临界值可能有助于对ICU幸存者进行PICS的早期筛查,从而能够及时进行干预以改善长期结局。需要进一步研究在不同人群中验证这些值。