Mild cognitive impairment – A hospital-based prospective study

Mukku, ShivaShanker Reddy; Varghese, Mathew; Bharath, Srikala; Kumar, KeshavJanakiprasad

doi:10.4103/jgmh.jgmh_30_18

Cited by 5 publications

(6 citation statements)

References 21 publications

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“…This was almost comparable to the multiple hospital-based cohorts worldwide [19,23,38]. An Indian study which had a limited number of 21 MCI patients with median follow-up of 1.4 years found 28.6% conversion and rest of the MCI retained their last cognitive status without any normalization [2]. Our study demonstrated the relevance of baseline memory variables, particularly new learning, encoding or retrieval measures as determined by delayed recognition score and executive function as estimated by errors on set shifting.…”

Section: Discussionsupporting

confidence: 76%

“…Added to other challenges like lack of resources, limited health seeking behavior, cultural beliefs, poor education and untreated chronic comorbidities are barriers to early identification and interventions [1]. A paucity exists of large-scale hospital-based studies on conversion rates of MCI to dementia of any subtype in India [2]. It is not certain whether the annual conversion rates in hospital-based cohorts are higher than community-based cohorts in India.…”

Section: Introductionmentioning

confidence: 99%

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Baseline Predictors of Longitudinal Cognitive Outcomes in Persons with Mild Cognitive Impairment

Poulose¹,

Varma²,

Surendran³

et al. 2023

Dement Geriatr Cogn Disord

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Introduction: The study aimed to explore longitudinal cognitive outcomes and to ascertain predictors of conversion to dementia in a hospital-based mild cognitive impairment (MCI) cohort classified according to the neuropsychological phenotype at baseline. Materials and Methods: Subjects aged >55 years who had a clinical diagnosis of MCI at initial visit between 2010 and 2018, with at least one formal neuropsychological assessment at baseline and follow-up of a minimum of 2 years were included. The prospective study was completed based on evaluation at last follow-up to gauge conversion to dementia, quantification of performance on activities of daily living and when available, longitudinal neuropsychological test scores. Results: Ninety-five patients with MCI met the inclusion criteria with a mean age of 68.4 ± 6.4 years at baseline and a mean duration of follow-up for 6.4 ± 3.2 years. The cumulative conversion rate to dementia was 22.2% (21/95) and the annualized conversion rate was 3.3% per year of follow-up. The majority of subjects who had converted had multidomain MCI (66%). Only white matter changes on MRI brain revealed correlation with baseline neuropsychology tests. The multivariate logistic regression analysis revealed the utility of lower baseline list recognition (adjusted odds ratio: 0.735 [95% confidence interval: 0.589–0.916]; p 0.006), lower immediate logical memory (0.885 [0.790–0.990]; p 0.03), and high perseverative error scores on set shifting (3.116 [1.425–6.817]; p 0.004) as predictors of conversion. A model score of +2.615 could predict conversion with sensitivity of 72% and specificity of 98% over 6.4 years follow-up. Conclusion: There was a higher risk of conversion associated with multidomain MCI. Logistic regression-based estimations of dementia risk utilizing domain-based neuropsychology test scores in MCI have high specificity for diagnosis at baseline.

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Section: Discussionsupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Baseline Predictors of Longitudinal Cognitive Outcomes in Persons with Mild Cognitive Impairment

Poulose¹,

Varma²,

Surendran³

et al. 2023

Dement Geriatr Cogn Disord

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“…12 The prevalence of MCI in India has been estimated to be 14.89% and 22.14% in two hospital-based studies. 13 LASI, a community-based study, estimated the prevalence of composite cognition below the 10th percentile in older adults to be 15%, whereas it was 6% in 45-59 years. 2 The self-reported diagnosis of Alzheimer's disease and dementia was 0.7%.…”

Section: Subsyndromal Symptoms-the Hidden Part Of the Icebergmentioning

confidence: 99%

Public Health Perspectives of Geriatric Mental Health Care

Rangarajan

Sivakumar

Manjunatha

et al. 2021

Indian Journal of Psychological Medicine

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Background: In older adults (aged 60 years and above), mental health problems are gaining public health importance because of the increasing prevalence, disease burden, disability, morbidity, and mortality. Epidemiological studies on major mental health disorders such as depression and dementia in older adults have contributed to a better understanding of the distribution and determinants of these conditions. Identifying potential risk factors has stimulated interventional research on preventing these conditions under the public health framework towards their management. The increasing burden of geriatric mental health conditions like dementia in developing countries like India can contribute to significant challenges if there is no adequate strengthening of the public health response. This includes scaling up the measures of prevention, public awareness, early diagnosis, and quality health and social care equitably available to all sections of the population. The Decade of Healthy Ageing (2021–2030) provides the opportunity for concerted and coordinated initiatives to improve intrinsic capacity (physical and mental) and offer an age-friendly environment to enhance the functional ability of all older adults. Methods: This article reviews the critical public health issues related to geriatric mental health in India.

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“…It is expected that this shift will lead to a profound increase in the occurrence of cognitive disorders. 6 This could affect the quality of life of elderly, necessitating a response through public health measures to address the challenge. 7 Cognitive impairment is a stage in-between normal ageing and dementia.…”

Section: Introductionmentioning

confidence: 99%

A Study on The Assessment of Cognitive Impairment Among Elderly Patients Visiting Rural Health and Training Centre

Mohammed,

Stanly

2024

Natl J Community Med

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Background: According to the United Nations, about one in five Indians will be 60 years or older by year 2050. Following this demographic shift, an increase in the proportion of cognitive disorders is expected. This study aims to identify those who have cognitive impairment among the rural elderly and study the factors associated. Methodology: The cross-sectional study was done on patients attending rural health and training centre of a tertiary care medical college and hospital in Chennai. One hundred seventy-eight participants above 60 years of age were screened with the Mini-CogTM tool. Those who scored less than 4 on the Mini-Cog scale were referred for cognitive evaluation by a clinical psychologist. Results: The overall prevalence of individuals positive for cognitive impairment was 41.6%. On bivariate analysis, individuals older than 65 years of age, those who were leading a retired life, not living with spouse, current alcoholics and smokers were associated with impaired cognition. Multivariate logistic regression analysis revealed participants who were retired and not living with spouse were independently associated with cognitive impairment. Conclusion: A high proportion of participants screened positive for cognitive impairment. Integrating cognitive health with primary care can help in giving attention and support for the ageing population.

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Mild cognitive impairment – A hospital-based prospective study

Cited by 5 publications

References 21 publications

Baseline Predictors of Longitudinal Cognitive Outcomes in Persons with Mild Cognitive Impairment

Baseline Predictors of Longitudinal Cognitive Outcomes in Persons with Mild Cognitive Impairment

Public Health Perspectives of Geriatric Mental Health Care

A Study on The Assessment of Cognitive Impairment Among Elderly Patients Visiting Rural Health and Training Centre

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