scholarly journals Early detection of cognitive impairment by natural language among outpatients and community dwellers

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 892-893
Author(s):  
Eri Kiyoshige ◽  
Mai Kabayama ◽  
Yasushi Takeya ◽  
Yoichi Takami ◽  
Shuko Takeda ◽  
...  

Abstract Background: Although early detection of cognitive decline has a significant relation to improving the quality of life of dementia patients, this early detection has been difficult due to requires of neuropsychological tests which people generally take when they notice their cognitive impairment. The timing of patients’ notice was reported to be worse cognitive decline already, thus, we aimed to determine if cognitive impairment from a short interview by using Natural Language Processing approach. Methods: The present study used cross-sectional analysis among elderly outpatients and community-dwelling elderly from Septuagenarians, Octogenarians, Nonagenarians Investigation with Centenarians (SONIC) study. Cognitive decline was assessed by Telephone Interview of Cognitive Status for Japanese (TICS-J) and modeled as a binary outcome (cut-off <33 points). Natural language data was collected by semistructured interviews about health conditions and cognitive orientation in space, time, and place. We used an open-source text segmentation library to parse natural language text into bag-of-words and term frequency-inverse document frequency (TF-IDF) representations. Results: There were 38 (19.9%) outpatients and 153 (80.1%) community dwellers, and 60 (31.4%) participants were defined as cognitive impairment. The maximized TF-IDF score was 0.49 in cognitive orientation in time questions. In this question, participants without cognitive impairment could not calculate the score. There were no significant differences in TF-IDF scores between participants with and without cognitive impairment. Conclusions: Elderly without cognitive impairment might not have an episode about cognitive orientation in time, and this may help for early detection of cognitive impairment

10.2196/16854 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e16854
Author(s):  
Iris Rawtaer ◽  
Rathi Mahendran ◽  
Ee Heok Kua ◽  
Hwee Pink Tan ◽  
Hwee Xian Tan ◽  
...  

Background Dementia is a global epidemic and incurs substantial burden on the affected families and the health care system. A window of opportunity for intervention is the predementia stage known as mild cognitive impairment (MCI). Individuals often present to services late in the course of their disease and more needs to be done for early detection; sensor technology is a potential method for detection. Objective The aim of this cross-sectional study was to establish the feasibility and acceptability of utilizing sensors in the homes of senior citizens to detect changes in behaviors unobtrusively. Methods We recruited 59 community-dwelling seniors (aged >65 years who live alone) with and without MCI and observed them over the course of 2 months. The frequency of forgetfulness was monitored by tagging personal items and tracking missed doses of medication. Activities such as step count, time spent away from home, television use, sleep duration, and quality were tracked with passive infrared motion sensors, smart plugs, bed sensors, and a wearable activity band. Measures of cognition, depression, sleep, and social connectedness were also administered. Results Of the 49 participants who completed the study, 28 had MCI and 21 had healthy cognition (HC). Frequencies of various sensor-derived behavior metrics were computed and compared between MCI and HC groups. MCI participants were less active than their HC counterparts and had more sleep interruptions per night. MCI participants had forgotten their medications more times per month compared with HC participants. The sensor system was acceptable to over 80% (40/49) of study participants, with many requesting for permanent installation of the system. Conclusions We demonstrated that it was both feasible and acceptable to set up these sensors in the community and unobtrusively collect data. Further studies evaluating such digital biomarkers in the homes in the community are needed to improve the ecological validity of sensor technology. We need to refine the system to yield more clinically impactful information.


2019 ◽  
Author(s):  
Iris Rawtaer ◽  
Rathi Mahendran ◽  
Ee Heok Kua ◽  
Hwee Pink Tan ◽  
Hwee Xian Tan ◽  
...  

BACKGROUND Dementia is a global epidemic and incurs substantial burden on the affected families and the health care system. A window of opportunity for intervention is the predementia stage known as mild cognitive impairment (MCI). Individuals often present to services late in the course of their disease and more needs to be done for early detection; sensor technology is a potential method for detection. OBJECTIVE The aim of this cross-sectional study was to establish the feasibility and acceptability of utilizing sensors in the homes of senior citizens to detect changes in behaviors unobtrusively. METHODS We recruited 59 community-dwelling seniors (aged >65 years who live alone) with and without MCI and observed them over the course of 2 months. The frequency of forgetfulness was monitored by tagging personal items and tracking missed doses of medication. Activities such as step count, time spent away from home, television use, sleep duration, and quality were tracked with passive infrared motion sensors, smart plugs, bed sensors, and a wearable activity band. Measures of cognition, depression, sleep, and social connectedness were also administered. RESULTS Of the 49 participants who completed the study, 28 had MCI and 21 had healthy cognition (HC). Frequencies of various sensor-derived behavior metrics were computed and compared between MCI and HC groups. MCI participants were less active than their HC counterparts and had more sleep interruptions per night. MCI participants had forgotten their medications more times per month compared with HC participants. The sensor system was acceptable to over 80% (40/49) of study participants, with many requesting for permanent installation of the system. CONCLUSIONS We demonstrated that it was both feasible and acceptable to set up these sensors in the community and unobtrusively collect data. Further studies evaluating such digital biomarkers in the homes in the community are needed to improve the ecological validity of sensor technology. We need to refine the system to yield more clinically impactful information.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Madeline R Sterling ◽  
Deanna Jannat-Khah ◽  
Leslie McClure ◽  
Virginia Wadley ◽  
Frederick W Unverzgat ◽  
...  

Background: Cognitive impairment is as high as 70% among adults with heart failure (HF) and its prevalence increases with the duration and severity of HF. However, little is known about the prevalence of cognitive impairment early in the course of HF. This is important, as high cognitive impairment at diagnosis would suggest that earlier screening would be warranted. We examined the prevalence and correlates of cognitive impairment among adults with incident HF. Methods: We used data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study, an observational, longitudinal cohort study of 30,239 community-dwelling adults > 45 recruited from 2003 to 2007. Blacks and residents of the stroke belt were oversampled. Global cognitive status was assessed annually by telephone with the Six-item Screener (SIS) and the diagnosis of incident HF was validated by physicians using medical records and standard clinical criteria. Participants who were hospitalized for incident HF from 2004 until 2016 with a SIS completed > 1 month but < 18 months before the index hospitalization were included. After determining the prevalence of cognitive impairment among this cohort, we identified which of their baseline characteristics were independently associated with cognitive impairment using multivariable logistic regression. We then compared the prevalence of cognitive impairment among adults with incident HF to the prevalence of cognitive impairment among age, sex, and race matched participants without HF, stratifying by 10-year Framingham Coronary Heart Disease Risk Scores (FRS) (<10%, 10-20%, and > 20%). Results: Of the 436 participants with incident HF, 14.9% had cognitive impairment. In an age-adjusted model, older age (OR 1.04 [95% CI 1.01 - 1.08], black race (OR 1.88 [95% 1.08-3.28]), < high school education (OR 1.89 [95% 1.02-3.51]), and anticoagulation (OR 3.01 [95% 1.05 - 8.63]) were independently associated with higher odds of cognitive impairment, whereas female sex (OR 0.54 [95% 0.31 - 0.94]) was associated with lower odds of cognitive impairment. The prevalence of cognitive impairment among participants with incident HF was higher than the prevalence of cognitive impairment among controls with low FRS (9.4%) but was less than the prevalence of cognitive impairment among controls with high FRS (21.9%). Conclusion: The prevalence of cognitive impairment among adults with incident HF was greater than the prevalence of cognitive impairment among matched participants with low CHD risk, but less than the prevalence of cognitive impairment among matched participants with the highest CHD risk. This suggests that the majority of cognitive decline in HF may occur later in the course of the disease. Increased awareness of cognitive impairment among newly diagnosed patients, as well as ways to mitigate cognitive decline in the context of HF management, are warranted.


2016 ◽  
Vol 42 (3-4) ◽  
pp. 236-245 ◽  
Author(s):  
Karoline Lukaschek ◽  
Clemens von Schacky ◽  
Johannes Kruse ◽  
Karl-Heinz Ladwig

Background: Omega-3 polyunsaturated fatty acids (PUFA) may affect the risk of cognitive decline in older adults. Methods: Cross-sectional analysis was conducted among 720 (50.4% women) participants aged 68-92 years (mean age: 77.6, SD ±6.2) of the population-based KORA-Age study. Eicosapentaenoic acid and docosahexaenoic acid (omega-3 index) were measured in erythrocytes as a percentage of total fatty acids. The categories low (<5.7), intermediate (5.7-6.8), and high (>6.8) levels of the omega-3 index were built using tertiles. The association between cognitive status and omega-3 levels was assessed by logistic regression analyses with adjustments for important concurrent risk factors of cognitive decline. Results: In the sex- and age-adjusted model (model 1), subjects with a low omega-3 index were at a significantly higher risk for cognitive impairment (OR: 1.77, 95% CI: 1.15-2.73, p = 0.009). This association remained stable after further adjusting for educational level (model 2; OR: 1.75, 95% CI: 1.13-2.71, p = 0.01) and metabolic risk factors (model 3; OR: 1.77, 95% CI: 1.14-2.75, p = 0.01). After further controlling for affective disorders (model 4), the association did not attenuate (OR: 1.77, 95% CI: 1.14-2.76, p = 0.01). Conclusion: A robust association was found between low omega-3 levels and cognitive impairment in an elderly population. Further research is needed to understand the link between omega-3 PUFA and cognitive functioning.


Author(s):  
Gemma Chiva-Blanch ◽  
Alba Vilella-Figuerola ◽  
Teresa Padró ◽  
Francesc Formiga ◽  
Assumpta Ferrer ◽  
...  

Increased life expectancy is usually associated with comorbidities, such as cardio and cerebrovascular disease causing impaired functionality. A common underlying cause of these comorbidities is vascular inflammation and injury. Elevated levels of circulating microvesicles (cMV), as a product of a hemostatic and inflammatory cell activation, could be direct mapping of an imbalanced hemostasis. In this manuscript, we aimed to investigate by liquid biopsy whether successful aging can be discriminated by cMV levels and phenotype. To this purpose, we included 135 community-dwelling octogenarians in a cross-sectional study. Successful aging was defined as good functional (Barthel Index &gt; 90 points, and Lawton index score &gt; 7/4 points for women and men, respectively) and cognitive status (Spanish version of the Mini-Mental State Examination -MEC- &gt; 24 points) and no need for institutionalization. Total, annexin V positive (AV+), and AV– cMV from different cell origins from the vascular compartment were phenotypically characterized and quantified from fasting plasma samples by flow cytometry. Successful aging was associated with lower plasma concentrations of total and AV+ CD141+/CD41+-CD61+, and PAC1+/AV+, CD141+/AV+, and CD36+/AV– cMV. From these phenotypes, ROC curve analyses revealed that CD141+/AV+ and CD141+/CD41+-CD61+/AV+ endothelial- and platelet-derived cMV discriminate successful and non-successful aging with an AUC (95%CI) of 0.655 (0.551, 0.758), P = 0.005, and 0.638 (0.535, 0.741), P = 0.013, respectively. In conclusion, successful aging is associated with low levels of cMV released by endothelial cells and platelets, indicating lower endothelial cell inflammation and platelet activation. Our results contribute to the understanding of the link between unsuccessful aging, cognitive decline and vascular cell inflammatory disturbances.


2021 ◽  
Vol 11 (21) ◽  
pp. 9970
Author(s):  
Emilija Kostic ◽  
Kiyoung Kwak ◽  
Dongwook Kim

Postural stability, hearing, and gait function deterioration are the risk factors associated with cognitive impairment. Although no method has been reported for treating severe cognitive impairment to date, developing an early detection model based on these risk factors could aid in slowing down or even reversing the deterioration process. In this study, the association between cognitive impairment and the combined predictive ability of sensory and gait features was assessed. Fifty−seven healthy community−dwelling men over the age of sixty−five participated in cognitive, postural stability, auditory, and level walking evaluations. They were divided into two groups: healthy control group (n = 39) and lower cognition group (n = 18), based on their Montreal cognitive assessment score. During gait, the center of mass of the cognitively impaired participants was confined to a smaller volume. Furthermore, the cognitively healthy participants were found to have better postural stability. Both groups possessed similar hearing ability; however, the cognitively impaired group made a significantly higher number of errors when repeating words or sentences. A logistic regression model utilizing each of these function quantifiers exhibited a high area under the receiver operating characteristic curve, suggesting excellent predictive ability. These models can be applied to smartphone or smart home healthcare technologies to detect the possibility of cognitive impairment, thus facilitating early detection.


Author(s):  
Tran Dai Tri Han ◽  
Keiko Nakamura ◽  
Kaoruko Seino ◽  
Vo Nu Hong Duc ◽  
Thang Van Vo

This study examined the prevalence of cognitive impairment among older adults in central Vietnam and the roles of communication (with or without communication devices) in the association between cognitive impairment and hearing loss. This cross-sectional study was performed on 725 randomly selected community-dwelling older adults aged ≥60 years from Thua Thien Hue province, Vietnam. Participants attended a face-to-face survey. Sociodemographic characteristics, social interaction with or without communication devices, health status and cognitive function using the Mini-Mental State Examination were reported. Ordinal logistic regression analysis was performed to quantify the association between hearing loss and cognitive function by frequency of communication with and without devices. Mild and severe cognitive impairment had prevalence rates of 23.6% and 19.3%, respectively. Cognitive impairment was more prevalent among older adults with hearing-loss, vision loss and difficulties with instrumental activities of daily living (IADL). The association between hearing loss and cognitive impairment was not significant when older adults had frequent communication with others using devices. This study presented the relatively high prevalence of cognitive impairment in community-dwelling older adults in Vietnam. Frequent communication using devices attenuated the association between hearing loss and cognitive impairment.


Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1051
Author(s):  
Valentina Bessi ◽  
Salvatore Mazzeo ◽  
Silvia Bagnoli ◽  
Giulia Giacomucci ◽  
Assunta Ingannato ◽  
...  

The Huntingtin gene (HTT) is within a class of genes containing a key region of CAG repeats. When expanded beyond 39 repeats, Huntington disease (HD) develops. Individuals with less than 35 repeats are not associated with HD. Increasing evidence has suggested that CAG repeats play a role in modulating brain development and brain function. However, very few studies have investigated the effect of CAG repeats in the non-pathological range on cognitive performances in non-demented individuals. In this study, we aimed to test how CAG repeats’ length influences neuropsychological scores in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). We included 75 patients (46 SCD and 29 MCI). All patients underwent an extensive neuropsychological battery and analysis of HTT alleles to quantify the number of CAG repeats. Results: CAG repeat number was positively correlated with scores of tests assessing for executive function, visual–spatial ability, and memory in SCD patients, while in MCI patients, it was inversely correlated with scores of visual–spatial ability and premorbid intelligence. When we performed a multiple regression analysis, we found that these relationships still remained, also when adjusting for possible confounding factors. Interestingly, logarithmic models better described the associations between CAG repeats and neuropsychological scores. CAG repeats in the HTT gene within the non-pathological range influenced neuropsychological performances depending on global cognitive status. The logarithmic model suggested that the positive effect of CAG repeats in SCD patients decreases as the number of repeats grows.


BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e046879
Author(s):  
Bernhard Grässler ◽  
Fabian Herold ◽  
Milos Dordevic ◽  
Tariq Ali Gujar ◽  
Sabine Darius ◽  
...  

IntroductionThe diagnosis of mild cognitive impairment (MCI), that is, the transitory phase between normal age-related cognitive decline and dementia, remains a challenging task. It was observed that a multimodal approach (simultaneous analysis of several complementary modalities) can improve the classification accuracy. We will combine three noninvasive measurement modalities: functional near-infrared spectroscopy (fNIRS), electroencephalography and heart rate variability via ECG. Our aim is to explore neurophysiological correlates of cognitive performance and whether our multimodal approach can aid in early identification of individuals with MCI.Methods and analysisThis study will be a cross-sectional with patients with MCI and healthy controls (HC). The neurophysiological signals will be measured during rest and while performing cognitive tasks: (1) Stroop, (2) N-back and (3) verbal fluency test (VFT). Main aims of statistical analysis are to (1) determine the differences in neurophysiological responses of HC and MCI, (2) investigate relationships between measures of cognitive performance and neurophysiological responses and (3) investigate whether the classification accuracy can be improved by using our multimodal approach. To meet these targets, statistical analysis will include machine learning approaches.This is, to the best of our knowledge, the first study that applies simultaneously these three modalities in MCI and HC. We hypothesise that the multimodal approach improves the classification accuracy between HC and MCI as compared with a unimodal approach. If our hypothesis is verified, this study paves the way for additional research on multimodal approaches for dementia research and fosters the exploration of new biomarkers for an early detection of nonphysiological age-related cognitive decline.Ethics and disseminationEthics approval was obtained from the local Ethics Committee (reference: 83/19). Data will be shared with the scientific community no more than 1 year following completion of study and data assembly.Trial registration numberClinicalTrials.gov, NCT04427436, registered on 10 June 2020, https://clinicaltrials.gov/ct2/show/study/NCT04427436.


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