Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Piazzale Brescia 20, Milano, 20149, MI, Italy.
Neurology Residency Program, Università degli Studi di Milano, Milano, Italy.
BMC Neurol. 2024 Nov 4;24(1):427. doi: 10.1186/s12883-024-03920-9.
. The present study aimed at deriving regression-based reliable change indices (RCIs) for the Montreal Cognitive Assessment (MoCA) in an Italian cohort of non-demented Parkinson's disease (PD) patients.
N = 33 consecutive, non-demented PD patients were followed-up at a 5-to-8-month interval (M = 6.6; SD = 0.6) with the MoCA. Practice effects and test-retest reliability were assessed via dependent-sample t-tests and intra-class correlation (ICC) coefficients, respectively. RCIs were derived separately for raw and demographically adjusted MoCA scores according to a standardized regression-based approach by accounting for both baseline confounders (i.e., demographics, disease duration and Unified Parkinson's Disease Rating Scale scores) and retest interval.
No practice effects were found (t(32) = 0.29; p = .778), with acceptable test-retest reliability being detected (ICC = 0.67). MoCA scores at T0 proved to be the only significant predictor of T1 MoCA performances within both the model addressing raw scores and that addressing adjusted scores (ps < 0.001).
The present study provides Italian practitioners and researchers with regression-based RCIs for the MoCA in non-demented PD patients, which can be reliably adopted for retest interval ≥ 5 and ≤ 8 months without encountering any practice effect.
本研究旨在为意大利队列的非痴呆帕金森病(PD)患者推导蒙特利尔认知评估(MoCA)的基于回归的可靠变化指数(RCIs)。
连续纳入 33 名非痴呆 PD 患者,以 5-8 个月的间隔(M=6.6;SD=0.6)进行 MoCA 随访。通过依赖样本 t 检验和组内相关系数(ICC)系数分别评估练习效应和测试-重测信度。根据基于标准化回归的方法,分别为原始和人口统计学调整的 MoCA 分数推导 RCIs,考虑到基线混杂因素(即人口统计学、疾病持续时间和统一帕金森病评定量表评分)和重测间隔。
未发现练习效应(t(32)=0.29;p=0.778),测试-重测信度可接受(ICC=0.67)。在原始分数和调整分数的模型中,T0 时的 MoCA 分数均被证明是 T1 MoCA 表现的唯一显著预测因子(ps<0.001)。
本研究为意大利的临床医生和研究人员提供了非痴呆 PD 患者 MoCA 的基于回归的 RCIs,可在无练习效应的情况下可靠地应用于重测间隔≥5 且≤8 个月。