Evaluation of Alzheimer’s disease progression based on clinical dementia rating scale with missing responses and covariates

2017 ◽  
Vol 28 (5) ◽  
pp. 893-908 ◽  
Author(s):  
Kalyan Das ◽  
Subrata Rana ◽  
Surupa Roy
2013 ◽  
Vol 7 (2) ◽  
pp. 181-189 ◽  
Author(s):  
Margarida Sobral ◽  
Constança Paúl

ABSTRACT Education and participation in leisure activities appear to be highly relevant variables in Alzheimer's disease (AD) and usually form the basis of the Cognitive Reserve construct. Objective: [A] To determine the association between education, cognitive and functional ability of AD patients; [B] To determine the association between participation in leisure activities and cognitive and functional ability of AD patients; [C] To evaluate the association of education and participation in leisure activities in the course of AD. Methods: Functional and neuropsychological abilities of 120 outpatients with probable AD were evaluated at baseline, at 36 and 54 months. Data collected at baseline included socio-demographics, clinical variables, education and frequency of participation in leisure activities throughout life. All participants and/or caregivers answered the questionnaire, "Participation in leisure activities throughout life" while patients completed the MMSE, the Clinical Dementia Rating scale, neuropsychological tests from the Lisbon Screening for Dementia Assessment, Barthel Index and Lawton and Brody's Index. Results: AD patients with higher levels of education achieved better results on cognitive tests. The participants with higher participation in leisure activities exhibited better results on cognitive and functional tests than those with lower participation. The disease progression was linear and progressed similarly regardless of the level of education of participants. However, the results suggest a slower disease progression in patients with a higher level of participation in leisure activities throughout their lives. Conclusion: AD patients with high education and high participation in leisure activities may benefit from a slower cognitive and functional decline after diagnosis of AD.


2020 ◽  
pp. 089198872097375
Author(s):  
Parunyou Julayanont ◽  
John C. DeToledo

Objective: We evaluated the utility of the Clinical Dementia Rating Sum of Boxes score (CDR-SB) in staging and detecting amnestic-mild cognitive impairment (a-MCI) and Alzheimer’s disease (AD) among Mexican Americans. Methods: Receiver operator curves were generated to evaluate the validity of the CDR-SB in staging and detecting a-MCI and AD in 1,073 Mexican Americans (758 controls, 163 a-MCI, and 152 AD). Results: Optimal ranges of the CDR-SB were 0, 0.5-4, 4.5-8.0, 8.5-13 and 13.5-18 for staging the global CDR score of 0, 0.5, 1, 2, and 3, respectively. The CDR-SB ≥ 0.5 differentiated the a-MCI patients from the controls (sensitivity 100% and specificity 99.5%) and ≥ 2.0 distinguished the AD from a-MCI patients (sensitivity 83.6% and specificity 87.1%). These cutoffs were also appropriate for patients with ≤6 years of education. Conclusion: The CDR-SB is useful to detect and stage a-MCI and AD in Mexican Americans with diverse education levels.


2021 ◽  
Vol 4 ◽  
Author(s):  
Alexandra L. Young ◽  
Jacob W. Vogel ◽  
Leon M. Aksman ◽  
Peter A. Wijeratne ◽  
Arman Eshaghi ◽  
...  

Subtype and Stage Inference (SuStaIn) is an unsupervised learning algorithm that uniquely enables the identification of subgroups of individuals with distinct pseudo-temporal disease progression patterns from cross-sectional datasets. SuStaIn has been used to identify data-driven subgroups and perform patient stratification in neurodegenerative diseases and in lung diseases from continuous biomarker measurements predominantly obtained from imaging. However, the SuStaIn algorithm is not currently applicable to discrete ordinal data, such as visual ratings of images, neuropathological ratings, and clinical and neuropsychological test scores, restricting the applicability of SuStaIn to a narrower range of settings. Here we propose ‘Ordinal SuStaIn’, an ordinal version of the SuStaIn algorithm that uses a scored events model of disease progression to enable the application of SuStaIn to ordinal data. We demonstrate the validity of Ordinal SuStaIn by benchmarking the performance of the algorithm on simulated data. We further demonstrate that Ordinal SuStaIn out-performs the existing continuous version of SuStaIn (Z-score SuStaIn) on discrete scored data, providing much more accurate subtype progression patterns, better subtyping and staging of individuals, and accurate uncertainty estimates. We then apply Ordinal SuStaIn to six different sub-scales of the Clinical Dementia Rating scale (CDR) using data from the Alzheimer’s disease Neuroimaging Initiative (ADNI) study to identify individuals with distinct patterns of functional decline. Using data from 819 ADNI1 participants we identified three distinct CDR subtype progression patterns, which were independently verified using data from 790 ADNI2 participants. Our results provide insight into patterns of decline in daily activities in Alzheimer’s disease and a mechanism for stratifying individuals into groups with difficulties in different domains. Ordinal SuStaIn is broadly applicable across different types of ratings data, including visual ratings from imaging, neuropathological ratings and clinical or behavioural ratings data.


2020 ◽  
pp. 089198872094423
Author(s):  
Thaís Bento Lima-Silva ◽  
Eneida Mioshi ◽  
Valéria Santoro Bahia ◽  
Mário Amore Cecchini ◽  
Luciana Cassimiro ◽  
...  

Introduction: There is a shortage of validated instruments to estimate disease progression in frontotemporal dementia (FTD). Objectives: To evaluate the ability of the FTD Rating Scale (FTD-FRS) to detect functional and behavioral changes in patients diagnosed with the behavioral variant of FTD (bvFTD), primary progressive aphasia (PPA), and Alzheimer disease (AD) after 12 months of the initial evaluation, compared to the Clinical Dementia Rating scale−frontotemporal lobar degeneration (CDR-FTLD) and the original Clinical Dementia Rating scale (CDR). Methods: The sample consisted of 70 individuals, aged 40+ years, with at least 2 years of schooling, 31 with the diagnosis of bvFTD, 12 with PPA (8 with semantic variant and 4 with non-fluent variant), and 27 with AD. The FTD-FRS, the CDR, and the 2 additional CDR-FTLD items were completed by a clinician, based on the information provided by the caregiver with frequent contact with the patient. The Addenbrooke Cognitive Examination-Revised was completed by patients. After 12 months, the same protocol was applied. Results: The FTD-FRS, CDR-FTLD, and CDR detected significant decline after 12 months in the 3 clinical groups (exception: FTD-FRS for PPA). The CDR was less sensitive to severe disease stages. Conclusions: The FTD-FRS and the CDR-FTLD are especially useful tools for dementia staging in AD and in the FTD spectrum.


2019 ◽  
Vol 34 (5) ◽  
pp. 314-321
Author(s):  
Miwako Takahashi ◽  
Tomoko Tada ◽  
Tomomi Nakamura ◽  
Keitaro Koyama ◽  
Toshimitsu Momose

This study aimed to assess efficacy and limitations of regional cerebral blood flow imaging using single-photon emission computed tomography (rCBF-SPECT) in the diagnosis of Alzheimer’s disease (AD) with amyloid-positron emission tomography (amyloid-PET). Thirteen patients, who underwent both rCBF-SPECT and amyloid-PET after clinical diagnosis of AD or mild cognitive impairment, were retrospectively identified. The rCBF-SPECTs were classified into 4 grades, from typical AD pattern to no AD pattern of hypoperfusion; amyloid-beta (Aβ) positivity was assessed by amyloid-PET. Four patients were categorized into a typical AD pattern on rCBF-SPECT, and all were Aβ+. The other 9 patients did not exhibit a typical AD pattern; however, 4 were Aβ+. The Mini-Mental State Examination score and Clinical Dementia Rating scale were not significantly different between Aβ+ and Aβ– patients. A typical AD pattern on rCBF-SPECT can reflect Aβ+; however, if not, rCBF-SPECT has a limitation to predict amyloid pathology.


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