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临床和人口统计学参数可预测老年患者从轻度认知障碍进展为痴呆症的情况。

Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients.

作者信息

Zuliani Giovanni, Polastri Michele, Romagnoli Tommaso, Marabini Lisa, Seripa Davide, Cervellati Carlo, Zurlo Amedeo, Passaro Angelina, Brombo Gloria

机构信息

Department of Morphology, Surgery, and Medical Sciences, University of Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44100, Ferrara, Italy.

Department of Medical Sciences, University of Ferrara, Ferrara, Italy.

出版信息

Aging Clin Exp Res. 2021 Jul;33(7):1895-1902. doi: 10.1007/s40520-020-01697-8. Epub 2020 Sep 12.

Abstract

OBJECTIVES

To evaluate the possibility of predicting the risk of progression from mild cognitive impairment (MCI) to dementia using a combination of clinical/demographic parameters.

METHODS

A total of 462 MCI elderly patients (follow-up: 33 months). Variable measured included cognitive functions, age, gender, MCI type, education, comorbidities, clinical chemistry, and functional status.

RESULTS

Amnestic type (aMCI) represented 63% of the sample, non-amnestic (naMCI) 37%; 190 subjects progressed to dementia, 49% among aMCI, and 28% among naMCI. At Cox multivariate regression analysis, only MMSE (one point increase HR 0.84; 95% CI 0.79-0.90), aMCI (HR 2.35; 95% CI 1.39-3.98), and age (1 year increase HR 1.05; 95% CI 1.01-1.10) were independently associated with progression to dementia. A score was created based on these dichotomized variables (score 0-3): age (≥ or < 78 years), MMSE score (≥ or < 25/30) and aMCI type. The conversion rate progressed from 6% in subjects with score 0 (negative predictive value: 0.94), to 31% in individuals with score 1, to 53% in subjects with score 2, to 72% in individuals with score 3 (positive predictive value: 0.72). ROC curve analysis showed an area under the curve of 0.72 (95% CI 0.66-0.75, p 0.0001).

CONCLUSIONS

We have described a simple score, based on previously recognized predictors such as age, MMSE, and MCI type, which may be useful for an initial stratification of the risk of progression to dementia in patients affected by MCI. The score might help the clinicians to evaluate the need for more expansive/invasive examinations and for a closer follow-up in MCI patients.

摘要

目的

评估使用临床/人口统计学参数组合预测轻度认知障碍(MCI)进展为痴呆风险的可能性。

方法

共纳入462例MCI老年患者(随访33个月)。测量的变量包括认知功能、年龄、性别、MCI类型、教育程度、合并症、临床化学指标和功能状态。

结果

遗忘型(aMCI)占样本的63%,非遗忘型(naMCI)占37%;190例患者进展为痴呆,aMCI患者中占49%,naMCI患者中占28%。在Cox多因素回归分析中,只有简易精神状态检查表(MMSE)(每增加1分,风险比[HR]为0.84;95%置信区间[CI]为0.79 - 0.90)、aMCI(HR为2.35;95% CI为1.39 - 3.98)和年龄(每增加1岁,HR为1.05;95% CI为1.01 - 1.10)与进展为痴呆独立相关。根据这些二分变量创建了一个评分(评分范围0 - 3):年龄(≥或<78岁)、MMSE评分(≥或<25/30)和aMCI类型。转化率从评分为0的受试者中的6%(阴性预测值:0.94),到评分为1的个体中的31%,评分为2的受试者中的53%,再到评分为3的个体中的72%(阳性预测值:0.72)。ROC曲线分析显示曲线下面积为0.72(95% CI为0.66 - 0.75,p <0.0001)。

结论

我们描述了一个基于年龄、MMSE和MCI类型等先前公认的预测因素的简单评分,这可能有助于对MCI患者进展为痴呆的风险进行初步分层。该评分可能有助于临床医生评估对MCI患者进行更广泛/侵入性检查以及更密切随访的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1262/8249246/21c0082bd559/40520_2020_1697_Fig1_HTML.jpg

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