Malek Rivan Nurul Fatin, Shahar Suzana, Singh Devinder Kaur Ajit, Che Din Normah, Mahadzir Hazlina, You Yee Xing, Kamaruddin Mohd Zul Amin
Nutritional Sciences Programme and Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia.
Dietetics Programme and Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia.
Heliyon. 2024 Jul 6;10(14):e34223. doi: 10.1016/j.heliyon.2024.e34223. eCollection 2024 Jul 30.
To develop a brief screening tool consisting of twelve items that can be self-administered for rapid identification of older adults at risk of cognitive frailty (CF), named as Cognitive Frailty Screening Tool (CFST).
A total of 1318 community-dwelling individuals aged 60 years and above were selected and assessed for cognitive frailty using a set of neuropsychology batteries and physical function tests. A binary logistic regression (BLR) was used to identify predictors of CF to be used as items in the screening tool. A suitable cut-off point was developed using receiver operating characteristic analysis.
Twelve items were included in the screening tool, comprising of gender, education years, medical history, depressive symptoms and functional status as well as lifestyle activities. The area under the curve (AUC) was 0.817 (95 % CI:0.774-0.861), indicating an excellent discriminating power. The sensitivity and specificity for cut-off 7 were 80.8 % and 79.0 %, with an acceptable range of positive predictive value (PPV) (73.3 %) and negative predictive value (NPV) (85.2 %) for screening tools. Concurrent validity of CFST score with standard cognitive and frailty assessment tools shows a significant association with the total score of CFST with low to moderate correlation (p < 0.05 for all parameters).
CFST had good sensitivity and specificity and was valid for community-dwelling older adults. There is a need to evaluate further the cost-effectiveness of implementing CFST as a screening for the risk of CF in the community. Its usage in clinical settings needs further validation.
开发一种由12个项目组成的简短筛查工具,该工具可自行管理,用于快速识别有认知衰弱(CF)风险的老年人,命名为认知衰弱筛查工具(CFST)。
共选取1318名60岁及以上的社区居住个体,使用一套神经心理学测试组和身体功能测试对其认知衰弱情况进行评估。采用二元逻辑回归(BLR)来识别CF的预测因素,以用作筛查工具中的项目。使用受试者工作特征分析确定合适的截断点。
筛查工具包含12个项目,包括性别、受教育年限、病史、抑郁症状、功能状态以及生活方式活动。曲线下面积(AUC)为0.817(95%CI:0.774 - 0.861),表明具有出色的区分能力。截断值为7时的敏感性和特异性分别为80.8%和79.0%,筛查工具的阳性预测值(PPV)(73.3%)和阴性预测值(NPV)(85.2%)在可接受范围内。CFST评分与标准认知和衰弱评估工具的同时效度显示,CFST总分与低至中度相关性显著相关(所有参数p < 0.05)。
CFST具有良好的敏感性和特异性,对社区居住的老年人有效。有必要进一步评估将CFST作为社区CF风险筛查工具的成本效益。其在临床环境中的应用需要进一步验证。