Nishiguchi Moto, Takayama Toshiki, Kasanuki Koji, Ota Tsuneyoshi, Shibata Nobuto, Ichimiya Yosuke, Arai Heii
Juntendo Iji Zasshi. 2022 Sep 9;68(5):505-512. doi: 10.14789/jmj.JMJ22-0018-OA. eCollection 2022.
Early-onset dementia is fast-progressing compared with late-onset dementia, with major clinical characteristics including prominent focal cerebral symptoms. Given its economic and psychological implications, proper diagnosis and treatment at an early stage is essential. In the present study, the authors conducted a retrospective study to evaluate the usefulness of various numerical indices (including CIScore calculated by eZIS, cerebral blood flow SPECT analysis software) in the differential diagnosis of early-onset dementia.
This study involved patients with early-onset and mild dementia who were receiving ambulatory care at our outpatient department specializing in Alzheimer's disease (14 MCI patients, 16 AD patients, and 16 probable/possible DLB patients). ROC analysis was performed for each SVA numerical index calculated by eZIS to calculate AUC. For the AD and DLB groups, correlation between the CIScore and MMSE was assessed.
When SVA-A (severity) was used to differentiate AD from MCI and DLB from MCI, the respective AUC values were 0.960 and 0.911. When CIScore was used to differentiate AD from DLB (threshold value: 0.225), the obtained AUC value was 0.941, and the accuracy, sensitivity, and specificity were 90.6%, 87.5%, and 93.7%, respectively. No significant correlation was observed between the MMSE and CIScore scores in these disease groups.
The results of this study have suggested that the SVA-A is a useful index for evaluating the conversion from MCI to either early-onset AD or DLB, and that the CIScore is useful for differentiating AD from DLB in both late-onset and early-onset dementia cases.
早发性痴呆与晚发性痴呆相比进展迅速,主要临床特征包括明显的局灶性脑症状。鉴于其经济和心理影响,早期进行正确诊断和治疗至关重要。在本研究中,作者进行了一项回顾性研究,以评估各种数值指标(包括由脑血流单光子发射计算机断层扫描分析软件eZIS计算的CIScore)在早发性痴呆鉴别诊断中的作用。
本研究纳入了在我们的阿尔茨海默病门诊接受门诊护理的早发性轻度痴呆患者(14例轻度认知障碍患者、16例阿尔茨海默病患者和16例可能/疑似路易体痴呆患者)。对eZIS计算的每个SVA数值指标进行ROC分析以计算AUC。对阿尔茨海默病组和路易体痴呆组,评估CIScore与简易精神状态检查表(MMSE)之间的相关性。
当使用SVA-A(严重程度)区分阿尔茨海默病与轻度认知障碍以及路易体痴呆与轻度认知障碍时,各自的AUC值分别为0.960和0.911。当使用CIScore区分阿尔茨海默病与路易体痴呆(阈值:0.225)时,获得的AUC值为0.941,准确性、敏感性和特异性分别为90.6%、87.5%和93.7%。在这些疾病组中,未观察到MMSE与CIScore评分之间存在显著相关性。
本研究结果表明,SVA-A是评估轻度认知障碍向早发性阿尔茨海默病或路易体痴呆转化的有用指标,并且CIScore在区分晚发性和早发性痴呆病例中的阿尔茨海默病与路易体痴呆方面是有用的。