Mild cognitive impairment

Author(s):  
Claudia Jacova ◽  
Howard H. Feldman

Within the cognitive functioning continuum from normal ageing to dementia three broad states can be distinguished: normal functioning for age, clear-cut impairment meeting diagnostic criteria for dementia, and mild cognitive impairment (MCI), which falls below normal but short of dementia in severity (Fig. 8.5.1.1.1). There is active debate over what MCI is, how to define and classify this state, and where to set its borders on the described continuum. Some definitions depict MCI as the tail-end of normal cognitive ageing whereas in other definitions MCI embodies the early clinical manifestation of Alzheimer Disease (AD) and other dementias. In 2003, the key elements of different MCI definitions were integrated into a consensus diagnostic and classification framework, thus establishing some common ground in a field that is still evolving. MCI has also been positioned as a potentially important target for early treatment interventions to delay progression to dementia. Nosologically, MCI is not currently included as a diagnostic entity in the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR) and the International Classification of Diseases, 10th revision. The diagnostic categories of Mild Neurocognitive Disorder (DSM-IV-TR) and Mild Cognitive Disorder (ICD-10) are similar to MCI because they require the presence of cognitive impairment but these categories can only be assigned if a specific neurological or general medical condition can be identified to account for the cognitive symptoms. Much of the current condition of MCI does not fit as it has no aetiologic specification. Nevertheless, MCI is increasingly a presenting condition in primary and specialized settings of care. Medical practice guidelines have recognized MCI as a risk state for dementia and recommend careful clinical evaluation and monitoring of individuals with this diagnosis.

2020 ◽  
pp. 381-398
Author(s):  
Sandeep Ankolekar ◽  
Michela Simoni

‘Post-stroke cognitive impairment’ explores in great depth the burden of post-stroke cognitive impairment, its pathological substrates and clinical characteristics, the causes of these impairments, post-stroke dementia, and the risk factors implicated. The chapter examines common definitions (vascular cognitive impairment, vascular dementia, post-stroke cognitive impairment), the DSM-5 criteria (Diagnostic and Statistical Manual of Mental Disorders-5), ICD-10 criteria (International Classification of Diseases), NINDS-AIREN criteria (National Institute of Neurological Disorders and Stroke and the Association Internationale pour la Recherche et l’Enseignement en Neurosciences) for vascular dementia, and vascular mild cognitive impairment. The VASCOG (vascular cognitive disorder) criteria are also described. A pragmatic approach to investigations and various assessment scales, a description of important clinical trials, and the management of these disorders are also included.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S277-S277
Author(s):  
Alexandra Nash ◽  
Jon Stone ◽  
Alan Carson ◽  
Craig Ritchie ◽  
Laura McWhirter

AimsThis study aimed to explore the terms used by old-age psychiatrists and psychologists to describe subjective and mild cognitive impairment and functional cognitive disorders (FCD) in clinical practice.MethodParticipants were selected from across the United Kingdom based on their clinical involvement in the assessment of cognitive complaints. 9 old-age psychiatrists and 4 psychologists were interviewed about their use of terminology in clinical practice and their awareness and understanding of FCD terminology via semi-structured interview questions and case vignettes. Interviews were conducted between December 2020 and February 2021 using online platforms Zoom and Microsoft Teams. Participants were recruited by email and Twitter. All questions were asked verbally; however, the four case vignettes were displayed via screen-share. All discussions and answers were transcribed and transcripts were coded manually using the exploratory case study methodology in order to identify themes in participants’ responses.ResultThis study has highlighted the variable use of terms used to describe and diagnose patients presenting with symptoms of cognitive disorders. The terms ‘mild cognitive impairment’, ‘subjective cognitive decline’ and ‘functional cognitive disorder’ were used most commonly amongst participants, though the terms ‘subjective cognitive impairment’ and ‘pseudodementia’ were also presented. This theme of language discontinuity is underscored by participants’ varying use of terminology when describing or presenting their diagnoses for the case vignettes. The data also reveals a sub-theme of variability in application of the term FCD. Whilst all participants gave similar definitions for this term, the application of FCD as a diagnosis in practice was inconsistent. Six participants described FCD as associated with or secondary to other functional or psychiatric conditions, four participants viewed FCD as an isolated diagnosis, and one participant considered FCD to be either part of another illness or a separate diagnosis. Two participants neither used nor recognised the term FCD.ConclusionIt is evident that there is varied use of terms describing or diagnosing forms of cognitive symptoms. The findings of this study highlight the need for a clear, adoptable definition of FCD in practice as well as implementable management plans for FCD patients. This is critical in order to avoid misdiagnosis and mismanagement, which may have harmful effects on patients living with debilitating cognitive symptoms.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S7-S7
Author(s):  
Lizzie Beavis ◽  
Ronan O'Malley ◽  
Bahman Mirheidari ◽  
Heidi Christensen ◽  
Daniel Blackburn

AimsThe disease burden of cognitive impairment is significant and increasing. The aetiology of cognitive impairment can be structural, such as in mild cognitive impairment (MCI) due to early Alzheimer's disease (AD), or in functional cognitive disorder (FCD), where there is no structural pathology. Many people with FCD receive a delayed diagnosis following invasive or costly investigations. Accurate, timely diagnosis improves outcomes across all patients with cognitive impairment. Research suggests that analysis of linguistic features of speech may provide a non-invasive diagnostic tool. This study aimed to investigate the linguistic differences in conversations between people with early signs of cognitive impairment with and without structural pathology, with a view to developing a screening tool using linguistic analysis of conversations.MethodIn this explorative, cross-sectional study, we recruited 25 people with MCI considered likely due to AD, (diagnosed according to Petersen's criteria and referred to as PwMCI), 25 healthy controls (HCs) and 15 people with FCD (PwFCD). Participants’ responses to a standard questionnaire asked by an interactional virtual agent (Digital Doctor) were quantified using previously identified parameters. This paper presents statistical analyses of the responses and a discussion of the results.ResultPwMCI produced fewer words than PwFCD and HCs. The ratio of pauses to speech was generally lower for PwMCI and PwFCD than for HCs. PwMCI showed a greater pause to speech ratio for recent questions (such as ‘what did you do at the weekend?’) compared with the HCs. Those with FCD showed the greatest pause to speech ratio in remote memory questions (such as ‘what was your first job?’). The average age of acquisition of answers for verbal fluency questions was lower in the MCI group than HCs.ConclusionThe results and qualitative observations support the relative preservation of remote memory compared to recent memory in MCI due to AD and decreased spontaneous elaboration in MCI compared with healthy controls and patients with FCD. Word count, age of acquisition and pause to speech ratio could form part of a diagnostic toolkit in identifying those with structural and functional causes of cognitive impairment. Further investigation is required using a large sample.


2010 ◽  
pp. 53-66

Vengono presentati i principali sistemi di diagnosi psichiatrica, e precisamente le ultime edizioni del Diagnostic and Statistical Manual (DSM) dell'American Psychiatric Association (il DSM-III del 1980, il DSM-III-R del 1987, il DSM-IV del 1994, il DSM-IV-TR del 2000, e il DSM-V previsto per il 2013), la 10a edizione dell'International Classification of Diseases (ICD-10) proposta nel 1992 dall'Organizzazione Mondiale della Sanitŕ (OMS), e il Manuale Diagnostico Psicodinamico (PDM) prodotto dalla comunitŕ psicoanalitica internazionale nel 2006. A proposito dei DSM, vengono discussi alcuni problemi metodologici quali le dicotomie validitŕ/attendibilitŕ, categorie/dimensioni e politetico/monotetico, e anticipati alcuni dibattiti critici a proposito del futuro DSM-V. Infine, vengono discusse le seguenti problematiche: la psicopatologia "descrittiva" e "strutturale"; la diagnosi come "difesa" del terapeuta; l'aspetto scientifico e l'aspetto filosofico della diagnosi; i tentativi di "sospensione" del giudizio e dei nostri preconcetti; la dicotomia nomotetico-idiografico.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Farhaan S Vahidy ◽  
Thomas Potter ◽  
Jennifer Meeks ◽  
Alan Pan ◽  
Osman Khan ◽  
...  

Introduction: The contribution of preexisting mild cognitive impairment (MCI) or dementia (MCID) towards long term mortality in Ischemic Stroke (IS) patients is under studied. Methods: We conducted a propensity score (PS) matched analysis of pooled data from 39 healthcare organizations to evaluate the association between MCID and post stroke mortality (PSM) through a 5-year period. Using ICD-10 codes for MCI, Alzheimer disease, vascular/other dementias, and MCID specific medications; we flagged preexisting MCID diagnoses up till 1 month prior to the index IS event (MCID group). The non-MCID group had no documented MCID diagnoses till after 1 month of the index event. Groups were PS matched on demographic (age, sex, race, ethnicity) and comorbidity variables. Risk Ratios (RR) and 95% confidence intervals (CI) were calculated. Results: Among 544,700 IS patients, 124,892 (22.9%) had preexisting MCID. MCID patients (vs. non-MCID) were older (mean age: 67.8 vs. 64.8 years), had higher proportion (%) of females (52.8 vs. 49.4) and Blacks (21.1 vs. 17.1). A higher proportion (%) of MCID patients had hypertension (77.3 vs. 36.0), diabetes (36.9 vs. 17.4), ischemic heart disease (31.6 vs 13.5), chronic kidney disease (21.4 vs. 7.8) and liver disease (9.5 vs. 3.1). Optimal co-variate balance was achieved post PS match (figure). In the unmatched sample, 8.6% of MCID and 6.0% of non-MCID patients experienced PSM by the 1-year time point; representing 56.2% and 64.2% of the total 5-year PSM, respectively. Matched and unmatched RR (CI) for PSM at 3 month and 1,3,5-year are reported (figure). An increasing risk of PSM was observed across the four time-points which was significantly higher for years 1,3, and 5 in the matched sample. Conclusion: A 24% long term increased risk of PSM was observed in a large national sample of IS patients with preexisting MCID. Majority of PSM burden is experienced by 1 year. MCID screening and exploring mechanisms of MCID-linked PSM is critical among IS patients.


2018 ◽  
Vol 45 (3-4) ◽  
pp. 180-189 ◽  
Author(s):  
Anette Bakkane Bendixen ◽  
Knut Engedal ◽  
Geir Selbæk ◽  
Cecilie Bhandari Hartberg

Objective: Anxiety symptoms are common in older adults with depression, but whether severe anxiety is associated with poorer outcomes of depression is unknown. The objective of the present study was to examine the association between severity of anxiety and severity of depression and physical illness, suicidality, and physical and cognitive functioning in older adults with depression. Methods: We included 218 older adults with diagnoses of a depressive disorder according to the ICD-10 criteria; their mean age (SD) was 75.6 (7.2), and 67.0% were women. The Geriatric Anxiety Inventory (GAI) was used to measure the severity of anxiety symptoms. The Montgomery-Aasberg Depression Rating Scale (MADRS) was used to assess the severity of depression. We obtained information on the level of functioning with the Physical Self-Maintenance Scale (PSMS) by Lawton and Brody and on cognition with the Mini-Mental State Examination (MMSE) and the Clock-Drawing Test (CDT). Physical health was determined based on information regarding falls and weight loss and an assessment of each patient’s general medical condition. The treating physician evaluated current suicidality in a comprehensive and standardized way. Results: Higher GAI scores were significantly associated with scores on the MADRS (β = 0.233, p = 0.002) and suicidality (β = 0.206, p = 0.006). Levels of physical or cognitive functioning were not associated with the GAI score. Conclusion: The severity of anxiety symptoms was associated with the severity of depression and suicidality in older adults with depressive disorders. The results could indicate a need to focus greater attention on the treatment of anxiety and suicidality in older patients with depression.


2011 ◽  
Vol 24 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Karen Ritchie ◽  
Craig W Ritchie

Cognitive decline has commonly been considered an inevitable result of brain aging and has been of clinical interest principally because of related difficulties with everyday functioning. Since the 1990s the “normality” of age-related cognitive decline has been called into question, being commonly attributed to a number of underlying disorders. Numerous concepts have been proposed which link subclinical cognitive change to pathological states (mild cognitive disorder, mild neurocognitive disorder, mild cognitive impairment). Of these, mild cognitive impairment (MCI) has become the most popular, driven on the one hand by industrial interests seeking to extend new dementia treatments for a more prevalent subclinical syndrome, and on the other by researchers attempting to identify at-risk populations. MCI has been both criticized for “medicalizing” behavior still within normal limits (Stephan et al., 2008; Moreira et al., 2008) and welcomed in that it suggests cognitive decline with aging may not be inevitable, but rather due to abnormalities which could ultimately be treated. Recently, in both Europe (DuBois et al., 2007) and the USA (Albert et al., 2011), panels of experts have scrutinized the concept of MCI and more broadly the pre-dementia stages of neurodegenerative diseases and offered new research diagnostic criteria. These proposed criteria have highlighted the (potential) value of biomarkers in assisting diagnosis, although some have considered the elevation of biomarkers to this level of importance in diagnosing disease before dementia develops to be premature given both the extent and quality of diagnostic biomarker data currently available (McShane et al., 2011a; 2011b).


2002 ◽  
Vol 14 (1) ◽  
pp. 59-72 ◽  
Author(s):  
Cássio M. C. Bottino ◽  
Cláudio C. Castro ◽  
Regina L. E. Gomes ◽  
Carlos A. Buchpiguel ◽  
Renato L. Marchetti ◽  
...  

Background: Volumetric magnetic resonance imaging (MRI) has been extensively studied in the last decade as a method to help with the clinical diagnosis of Alzheimer's disease (AD). In recent years, researchers have also started investigating if that technique would be useful to identify individuals with mild cognitive impairment (MCI), differentiating them from AD patients and from normal elderly controls. This research project was planned to assess the accuracy of volumetric MRI to differentiate those groups of individuals. Method: The investigation involved 39 patients with diagnosis of mild to moderate dementia in AD, according to the criteria of the NINCDS-ADRDA, DSM-III-R, and ICD-10; 21 subjects with complaints of cognitive decline without other psychiatric disorders (MCI); and 20 normal elderly controls. All the subjects were submitted to a standard protocol, including volumetric MRI evaluations. Results: The results indicated that all regions of interest measured (amygdala, hippocampus, and parahippocampal gyrus) were significantly different (p < .005) in AD patients compared to MCI subjects and controls. The left volumetric measures (amygdala, hippocampus, and parahippocampal gyrus) were also significantly different between the MCI subjects and controls (p < .05). The discriminant function analysis correctly classified 88.14% of the AD patients and controls, 81.67% of AD patients and MCI subjects, and 80.49% of the MCI subjects and controls. Conclusions: The results suggest that measures of medial temporal lobe regions are useful to identify mild to moderate AD patients and MCI subjects, separating them from normal elderly individuals.


2020 ◽  
pp. 1-8
Author(s):  
Edith Labos ◽  
Edith Labos ◽  
Sofia Trojanowski ◽  
Karina Zabala ◽  
Miriam Del Rio ◽  
...  

The increase in consultations for changes and/or cognitive complaints in the elderly, together with the current interest in epidemiological research in this context creates the need for screening tools for cognitive assessment to enable the detection of early deficits. Evidence shows its predictive value in the development of dementia disease. This study aims at displaying the results of a Cognitive Skills Questionnaire (CSQ) in a patient population with mild cognitive impairment (MCI) and Alzheimer’s disease (AD), both compared with a control group (CG) with no cognitive disorder and verifying its sensitivity and specificity in order to identify risk patients with cognitive disorder. Participants and Methods: A total of 208 participants were evaluated, out of which 60 had MCI, 46 had AD and a remaining group of 102 subjects who had no cognitive disorder. All participants were administrated the CSQ and a battery of neuropsychological proofs. We analysed the statistical data using ANOVA, Student’s t-test, Tuckey test, ROC curve and principal components analysis. A multiple regression analysis was carried out so as to single out those questions which better differentiated the studied groups. Results: The CSQ showed significant differences between the CG and both groups of patients (AD p> 0.01 and MCI p> 0.05). It was established a cut-off point of 17.5 in the CSQ total score with a sensitivity of 93% and a specificity of 91.3%. Conclusion: The CSQ could eventually allow us to identify patients with cognitive disorders and those others with a cognitive complaint greater than expected. Thus, this questionnaire could be a useful testing and counselling tool in health primary attention.


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