Clinical Approach to the Differential Diagnosis Between Behavioral Variant Frontotemporal Dementia and Primary Psychiatric Disorders

2015 ◽  
Vol 172 (9) ◽  
pp. 827-837 ◽  
Author(s):  
Simon Ducharme ◽  
Bruce H. Price ◽  
Mykol Larvie ◽  
Darin D. Dougherty ◽  
Bradford C. Dickerson
Author(s):  
Viviane Amaral-Carvalho ◽  
Thais Bento Lima-Silva ◽  
Luciano Inácio Mariano ◽  
Leonardo Cruz de Souza ◽  
Henrique Cerqueira Guimarães ◽  
...  

Abstract Introduction Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are frequent causes of dementia and, therefore, instruments for differential diagnosis between these two conditions are of great relevance. Objective To investigate the diagnostic accuracy of Addenbrooke’s Cognitive Examination-Revised (ACE-R) for differentiating AD from bvFTD in a Brazilian sample. Methods The ACE-R was administered to 102 patients who had been diagnosed with mild dementia due to probable AD, 37 with mild bvFTD and 161 cognitively healthy controls, matched according to age and education. Additionally, all subjects were assessed using the Mattis Dementia Rating Scale and the Neuropsychiatric Inventory. The performance of patients and controls was compared by using univariate analysis, and ROC curves were calculated to investigate the accuracy of ACE-R for differentiating AD from bvFTD and for differentiating AD and bvFTD from controls. The verbal fluency plus language to orientation plus name and address delayed recall memory (VLOM) ratio was also calculated. Results The optimum cutoff scores for ACE-R were <80 for AD, <79 for bvFTD, and <80 for dementia (AD + bvFTD), with area under the receiver operating characteristic curves (ROC) (AUC) >0.85. For the differential diagnosis between AD and bvFTD, a VLOM ratio of 3.05 showed an AUC of 0.816 (Cohen’s d = 1.151; p < .001), with 86.5% sensitivity, 71.4% specificity, 72.7% positive predictive value, and 85.7% negative predictive value. Conclusions The Brazilian ACE-R achieved a good diagnostic accuracy for differentiating AD from bvFTD patients and for differentiating AD and bvFTD from the controls in the present sample.


Brain ◽  
2020 ◽  
Vol 143 (6) ◽  
pp. 1632-1650 ◽  
Author(s):  
Simon Ducharme ◽  
Annemiek Dols ◽  
Robert Laforce ◽  
Emma Devenney ◽  
Fiona Kumfor ◽  
...  

Abstract The behavioural variant of frontotemporal dementia (bvFTD) is a frequent cause of early-onset dementia. The diagnosis of bvFTD remains challenging because of the limited accuracy of neuroimaging in the early disease stages and the absence of molecular biomarkers, and therefore relies predominantly on clinical assessment. BvFTD shows significant symptomatic overlap with non-degenerative primary psychiatric disorders including major depressive disorder, bipolar disorder, schizophrenia, obsessive-compulsive disorder, autism spectrum disorders and even personality disorders. To date, ∼50% of patients with bvFTD receive a prior psychiatric diagnosis, and average diagnostic delay is up to 5–6 years from symptom onset. It is also not uncommon for patients with primary psychiatric disorders to be wrongly diagnosed with bvFTD. The Neuropsychiatric International Consortium for Frontotemporal Dementia was recently established to determine the current best clinical practice and set up an international collaboration to share a common dataset for future research. The goal of the present paper was to review the existing literature on the diagnosis of bvFTD and its differential diagnosis with primary psychiatric disorders to provide consensus recommendations on the clinical assessment. A systematic literature search with a narrative review was performed to determine all bvFTD-related diagnostic evidence for the following topics: bvFTD history taking, psychiatric assessment, clinical scales, physical and neurological examination, bedside cognitive tests, neuropsychological assessment, social cognition, structural neuroimaging, functional neuroimaging, CSF and genetic testing. For each topic, responsible team members proposed a set of minimal requirements, optimal clinical recommendations, and tools requiring further research or those that should be developed. Recommendations were listed if they reached a ≥ 85% expert consensus based on an online survey among all consortium participants. New recommendations include performing at least one formal social cognition test in the standard neuropsychological battery for bvFTD. We emphasize the importance of 3D-T1 brain MRI with a standardized review protocol including validated visual atrophy rating scales, and to consider volumetric analyses if available. We clarify the role of 18F-fluorodeoxyglucose PET for the exclusion of bvFTD when normal, whereas non-specific regional metabolism abnormalities should not be over-interpreted in the case of a psychiatric differential diagnosis. We highlight the potential role of serum or CSF neurofilament light chain to differentiate bvFTD from primary psychiatric disorders. Finally, based on the increasing literature and clinical experience, the consortium determined that screening for C9orf72 mutation should be performed in all possible/probable bvFTD cases or suspected cases with strong psychiatric features.


2016 ◽  
Vol 51 (4) ◽  
pp. 1249-1256 ◽  
Author(s):  
Flora T. Gossink ◽  
Annemieke Dols ◽  
Welmoed A. Krudop ◽  
Sietske A. Sikkes ◽  
Cora J. Kerssens ◽  
...  

2021 ◽  
Author(s):  
Viviane Amaral- Carvalho ◽  
Thais Lima- Silva ◽  
Luciano Mariano ◽  
Leonardo de Souza ◽  
Henrique Guimarães ◽  
...  

Background: The differential diagnosis between Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) is challenging, justifying improvement of cognitive tools for use in clinical practice. Objective: To develop a new logarithm based on discriminative items of the ACE-R. Methods: The ACE-R was administered to 102 patients with mild dementia due to probable AD and 37 with mild probable bvFTD. Mokken scaling analysis was applied to identify the latent trait on the AD Group. Multivariate logistic regression and ROC curve analysis were carried out. Results: Mean total scores in ACE-R were 70.2 ± 10.8 in AD and 72.2 ± 11.1 in bvFTD. AD Mokken ACE-R (AMokACE-R) comprises 12 items measuring the same latent concept. Logistic regression with cross-validation pointed that AMokACE-R + Age + Sex-male + ACE-R subitems Orientation and Memory share importance as independent variables (p <0.05). The proposed logarithm reached an area under the curve of 0.922, with 88% sensitivity/specificity, 71% PPV and 96% NPV. Conclusion: The new logarithm using the ACE-R achieved high diagnostic accuracy in discriminating AD and bvFTD, showing superiority to previous findings. Further analysis in larger samples, with biomarkers or pathological confirmation, are necessary to confirm these findings.


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