Subtypes of dementia: a study from a memory clinic in India.

BACKGROUND: The clinical syndrome of dementia consists of several subtypes that are distinct in their etiology, clinical profile, management, and outcome. Limited specialized services are available for dementia patients in India. We report the profile of dementia subtypes from a clinic-based dementia registry in India. METHODS: Consecutive dementia patients were investigated with clinical evaluation, neuropsychological tests modified for local use, and brain imaging. RESULTS: In 347 consecutive dementia patients, Alzheimer's disease was the most common subtype of dementia (38.3%), followed by a high proportion of vascular dementia (25.4%). Frontotemporal dementia syndromes were not uncommon (18.7%). Dementia with Lewy bodies was encountered in 8.9% of the patients, and mixed dementia was found in 8.6%. The mean age of the group at presentation was 66.3 years, nearly a decade younger than in developed countries. The proportion of patients with early-onset dementia was high (49.9%). CONCLUSIONS: Our results demonstrate that the clinical profiles of dementia subtypes in a clinic population are influenced by the population's demographic profile, cardiovascular risk factor burden, sociocultural attitudes about cognitive impairment, and possibly genetic factors.

Awareness, Recognition, and Response to Stroke among the General Public-An Observational Study.

Objective To evaluate awareness and response to stroke among the general public. Materials and Methods In this prospective, observational study, self-reported stroke awareness questionnaire was administered in 2000 consecutive participants who visited outpatient clinic of a tertiary care hospital. For data analysis, comparison included for awareness of stroke and response in case of stroke. Results The average age of the study participants was 39.64 ± 15.55 (17-85), with 651(32.6%) women. Among the respondents, 786(39.3%) participants mentioned stroke as blood clot in the brain; 268(13.4%) stated it as brain hemorrhage. Awareness of stroke was higher in people in cities (71.0 vs. 8.5%; p < 0.001) and graduates (75.3 vs. 60.9%; p < 0.001) or knew a family member or friend who had stroke (42.7 vs. 30.4%; p < 0.001). Most commonly recognized risk factors included stress (1,152; 57.6%) and hypertension (1,148; 57.4%). Most identified warning sign was weakness of one side of body (807; 40.4%) and speech impairment (658; 32.9%). Participants who were aware of stroke knew a greater number of risk factors (3.75 ± 2.88 vs. 2.45 ± 2.66; p < 0.001) and warning signs (2.85 ± 2.25 vs. 1.49 ± 1.41; p <0.001). Among 1,138 participants who were aware of stroke, 166 (14.6%) participants knew one correct response in case of a stroke, either call a doctor (49.3 vs. 35.0%; p <0.001) or call an ambulance (41.1 vs. 34.9%; p = 0.055). Participants who knew one correct response to stroke had at least a family member/friend who had stroke (44.1 vs. 34.3%; p < 0.022). Conclusion We report that among 56.9% of the participants who were aware of stroke most could not name more than four risk factors or three warning signs of stroke. Only 14.6% of those aware of stroke knew appropriate response to stroke.

Dementia Diagnosis in Seven Languages: The Addenbrooke's Cognitive Examination-III in India.

OBJECTIVE: With the rising burden of dementia globally, there is a need to harmonize dementia research across diverse populations. The Addenbrooke's Cognitive Examination-III (ACE-III) is a well-established cognitive screening tool to diagnose dementia. But there have been few efforts to standardize the use of ACE-III across cohorts speaking different languages. The present study aimed to standardize and validate ACE-III across seven Indian languages and to assess the diagnostic accuracy of the test to detect dementia and mild cognitive impairment (MCI) in the context of language heterogeneity. METHODS: The original ACE-III was adapted to Indian languages: Hindi, Telugu, Kannada, Malayalam, Urdu, Tamil, and Indian English by a multidisciplinary expert group. The ACE-III was standardized for use across all seven languages. In total, 757 controls, 242 dementia, and 204 MCI patients were recruited across five cities in India for the validation study. Psychometric properties of adapted versions were examined and their sensitivity and specificity were established. RESULTS: The sensitivity and specificity of ACE-III in identifying dementia ranged from 0.90 to 1, sensitivity for MCI ranged from 0.86 to 1, and specificity from 0.83 to 0.93. Education but not language was found to have an independent effect on ACE-III scores. Optimum cut-off scores were established separately for low education (≤10 years of education) and high education (>10 years of education) groups. CONCLUSIONS: The adapted versions of ACE-III have been standardized and validated for use across seven Indian languages, with high diagnostic accuracy in identifying dementia and MCI in a linguistically diverse context.