Sandalic Danielle, Tran Yvonne, Craig Ashley, Arora Mohit, Pozzato Ilaria, Simpson Grahame, Gopinath Bamini, Kaur Jasbeer, Shetty Sachin, Weber Gerard, Benad Lisa, Middleton James W
John Walsh Centre Rehabilitation Research, The Kolling Institute, Royal North Shore Hospital, St Leonards, NSW 2065, Australia.
Faculty of Medicine and Health, Sydney Medical School, The University of Sydney, Sydney, NSW 2006, Australia.
J Clin Med. 2022 Jun 10;11(12):3344. doi: 10.3390/jcm11123344.
The assessment of mild cognitive impairment (MCI) following spinal cord injury (SCI) is vital. However, there are no neurocognitive screens which have been developed specifically to meet the unique requirements for SCI, nor are there consistent MCI criteria applied to determine the rates of MCI. The aim of this study was to determine the suitability of a neurocognitive screen for assessing MCI in adults with SCI. A total of 127 participants were recruited. Socio-demographic and injury related variables were assessed. All participants completed the screen. Descriptive statistics are provided for total/domain screen scores and all items, and the screen’s ability to distinguish MCI was examined. Congeneric confirmatory factor analyses (CFA) were employed to investigate structural validity. The screen total score was sensitive to differences in neurocognitive capacity, as well as for time since the injury occurred (p < 0.01). The MCI rate ranged between 17−36%. CFA revealed attention and visuoconstruction domains had an adequate model fit and executive function had poor fit, while CFA models for memory and language did not fit the data (did not converge), hence could not be determined. While the screen differentiated between those with MCI and those without, and MCI as a function of time since injury, limitations of its suitability for assessing MCI after SCI exist, demonstrating the need for a specialized neurocognitive screen for adults with SCI.
评估脊髓损伤(SCI)后的轻度认知障碍(MCI)至关重要。然而,目前尚无专门为满足SCI的独特需求而开发的神经认知筛查方法,也没有统一的MCI标准来确定MCI的发生率。本研究的目的是确定一种神经认知筛查方法对评估成年SCI患者MCI的适用性。共招募了127名参与者,评估了社会人口统计学和损伤相关变量,所有参与者均完成了筛查。提供了总/领域筛查分数和所有项目的描述性统计数据,并检验了该筛查方法区分MCI的能力。采用同类型验证性因素分析(CFA)来研究结构效度。筛查总分对神经认知能力的差异以及自受伤以来的时间敏感(p < 0.01)。MCI发生率在17%至36%之间。CFA显示注意力和视觉构建领域的模型拟合良好,执行功能的拟合较差,而记忆和语言的CFA模型不拟合数据(未收敛),因此无法确定。虽然该筛查方法能够区分有MCI和无MCI的患者,以及MCI与受伤后时间的关系,但它在评估SCI后MCI的适用性方面存在局限性,这表明需要为成年SCI患者开发专门的神经认知筛查方法。