University of Melbourne, St Vincent's Clinical School, St Vincent's Hospital, Fitzroy.
Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne.
Alzheimer Dis Assoc Disord. 2018 Jul-Sep;32(3):190-196. doi: 10.1097/WAD.0000000000000252.
Given the long preclinical disease course of Alzheimer disease (AD) pathology, novel treatments may be more efficacious if administered before the emergence of dementia. Thus, accurate prediction of who will develop AD dementia is of key importance in selecting individuals for trials of treatment and may become crucial for future selection of patients for therapy.
As part of the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing, 901 individuals who did not have dementia were recruited. We assigned individuals according to Petersen criteria and Winblad criteria for Mild Cognitive Impairment (MCI) at baseline. We then stratified individuals with amnestic MCI into 2 groups according to the severity of their memory impairment on baseline neuropsychological assessment. Incident diagnosis of AD dementia was established by consensus of an expert panel at 36 months.
At 36 months, 725 (80.5%) participants were followed up, 54 (7.4%) of whom developed AD dementia. Subjects with amnestic MCI according to Petersen criteria were more likely to develop AD dementia [positive predictive value; PPV, 24.1%; 95% confidence interval (CI), 18.4-30.6] than healthy controls (PPV, 1.0%; 95% CI, 0.3-2.3). Winblad criteria were also effective, with multiple domain amnestic MCI being most accurate at predicting AD dementia (PPV, 47.3%; 95% CI, 33.7-61.2). Finally, more severe amnestic impairment below the median was useful for predicting the development of AD dementia in single domain amnestic MCI (PPV, 28.1%; 95% CI, 17.0-41.5) and in multiple domain amnestic MCI (PPV, 65.7%; 95% CI, 47.8-80.9).
Memory impairment per se, impairment in multiple cognitive domains and severity of memory impairment were all associated with greater risk of developing AD dementia in this sample. Characterizing the severity of memory impairment may provide prognostic stratification within Petersen or Winblad taxonomies of amnestic MCI.
鉴于阿尔茨海默病(AD)病理的漫长临床前疾病过程,如果在痴呆出现之前进行治疗,新型治疗方法可能更有效。因此,准确预测谁将发展为 AD 痴呆症对于选择接受治疗试验的个体至关重要,并且可能对未来选择接受治疗的患者变得至关重要。
作为澳大利亚影像学、生物标志物和生活方式老龄化旗舰研究的一部分,招募了 901 名没有痴呆症的个体。我们根据 Petersen 标准和 Winblad 标准在基线时将个体分配为轻度认知障碍(MCI)。然后,我们根据基线神经心理学评估中记忆损伤的严重程度,将有遗忘型 MCI 的个体分为 2 组。AD 痴呆症的发病诊断由专家小组在 36 个月时通过共识建立。
在 36 个月时,对 725 名(80.5%)参与者进行了随访,其中 54 名(7.4%)患有 AD 痴呆症。根据 Petersen 标准患有遗忘型 MCI 的受试者更有可能发展为 AD 痴呆症[阳性预测值;PPV,24.1%;95%置信区间(CI),18.4-30.6],而健康对照组为 1.0%(95%CI,0.3-2.3)。Winblad 标准也同样有效,多领域遗忘型 MCI 最能准确预测 AD 痴呆症(PPV,47.3%;95%CI,33.7-61.2)。最后,在单一领域遗忘型 MCI 中,低于中位数的更严重的遗忘型损伤有助于预测 AD 痴呆症的发展(PPV,28.1%;95%CI,17.0-41.5),在多领域遗忘型 MCI 中,PPV 为 65.7%(95%CI,47.8-80.9)。
在该样本中,记忆损伤本身、多个认知领域的损伤以及记忆损伤的严重程度均与 AD 痴呆症的发病风险增加相关。描述记忆损伤的严重程度可能为 Petersen 或 Winblad 遗忘型 MCI 分类学中的严重程度提供预后分层。