Arrieta Enrique, Baz Pablo, García-Ribas Guillermo
Segovia Rural Health Center, Neurology Working Group of SERMERGEN, Segovia, Spain.
North Periurban Health Center of Salamanca, Neurology Working Group of SERMERGEN, Salamanca, Spain.
Front Neurol. 2024 Oct 3;15:1434210. doi: 10.3389/fneur.2024.1434210. eCollection 2024.
Neuropsychiatric symptoms are prevalent in patients with mild cognitive impairment (MCI) and are predictive of the conversion to dementia. Fortasyn Connect, a medical food, has shown efficacy in managing cognitive and behavioral symptoms associated with MCI. Early diagnosis and intervention in primary care are essential for managing MCI. However, real-world prospective studies assessing Fortasyn Connect in MCI are still limited.
This observational, multicenter, prospective study will enroll 150 patients recently diagnosed with MCI by primary care physicians across several regions in Spain. Participants will be followed-up over a 12-month period, with assessments at baseline, 6 months, and 12 months, as per clinical practice. The study aims to evaluate the impact of Fortasyn Connect on neuropsychiatric symptoms, cognition, and health-related quality of life (HRQoL) using validated neuropsychological tests and machine learning (ML) techniques. The primary outcome measure will be changes in neuropsychiatric symptoms using the Neuropsychiatric Inventory Questionnaire (NPI-Q) at 6 months. Secondary outcome measures include further changes in the NPI-Q at 12 months, and changes in cognition (Fototest, and clock-drawing test) and HRQoL (EQ-5D-5L) at 6 and 12 months. Exploratory outcomes will assess speech using an artificial intelligence (AI)-enhanced ML tool, with a correlation analysis of these findings with traditional neuropsychological test results.
This study will provide evidence of the effectiveness of Fortasyn Connect in a real-world setting, exploring its potential to stabilize or improve neuropsychiatric symptoms, cognition, and HRQoL in MCI patients. Results will also contribute to the understanding of AI and ML in identifying early biomarkers of cognitive decline, supporting the timely management of MCI.
神经精神症状在轻度认知障碍(MCI)患者中普遍存在,并且可预测其向痴呆症的转化。医学食品“脑智通”(Fortasyn Connect)已显示出在管理与MCI相关的认知和行为症状方面的疗效。在初级保健中进行早期诊断和干预对于管理MCI至关重要。然而,评估“脑智通”在MCI中的实际应用的前瞻性研究仍然有限。
这项观察性、多中心、前瞻性研究将招募150名最近被西班牙多个地区的初级保健医生诊断为MCI的患者。根据临床实践,参与者将接受为期12个月的随访,在基线、6个月和12个月时进行评估。该研究旨在使用经过验证的神经心理学测试和机器学习(ML)技术,评估“脑智通”对神经精神症状、认知和健康相关生活质量(HRQoL)的影响。主要结局指标将是在6个月时使用神经精神科问卷(NPI-Q)评估神经精神症状的变化。次要结局指标包括在12个月时NPI-Q的进一步变化,以及在6个月和12个月时认知(Fototest和画钟试验)和HRQoL(EQ-5D-5L)的变化。探索性结局将使用人工智能(AI)增强的ML工具评估言语,并将这些结果与传统神经心理学测试结果进行相关分析。
本研究将提供“脑智通”在实际应用中的有效性证据,探索其在稳定或改善MCI患者的神经精神症状、认知和HRQoL方面的潜力。研究结果还将有助于理解AI和ML在识别认知衰退早期生物标志物方面的作用,支持MCI的及时管理。