scholarly journals Prevalence of potentially inappropriate prescriptions in primary care and correlates with mild cognitive impairment

2020 ◽  
Vol 18 (3) ◽  
pp. 2017
Author(s):  
Klejda Harasani ◽  
Delina Xhafaj ◽  
Anxhela Begolli ◽  
Maria C. Olvera-Porcel
Keyword(s):  
Primary Care ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Inappropriate Prescribing ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Western Balkans ◽  
Cross Sectional ◽  
Middle Income ◽  
Inappropriate Prescriptions

Background: Potentially inappropriate prescribing is clearly associated with adverse health consequences among older people. Nevertheless, scarce evidence exists regarding the prevalence of potentially inappropriate prescriptions (PIP) in Albania, a Western Balkans country. Objective: The aim of this study was to assess the prevalence of PIP among older Albanian patients in primary care and to determine the associated sociodemographic and medical factors, including the presence of mild cognitive impairment (MCI). Methods: Cross-sectional study in two primary healthcare centers located in two different cities of Albania, a middle-income country in the Western Balkans. The Montreal Cognitive Assessment (MoCA) tool was applied to evaluate MCI. PIPs were assessed by two trained pharmacists using the Beers criteria 2019 update. Multivariate logistic regression analysis was conducted for possible risk factors predicting PIP in the study population. Results: At least one PIP was identified among 40.23 % of the participants (174 older patients) and 10.35 % had more than one PIP. MCI was detected among 79.31 % of the patients. The most commonly represented drug groups in PIP were diuretics (24.71 %), benzodiazepines in the presence of MCI and antidepressants (both 8.62 %). The lack of electrolytes monitoring was the most common reason for PIP. According to the multivariate analysis, the only statistically significant association observed was between PIP and number of drugs prescribed [three to four drugs (OR 3.34; 95% CI 1.65:6.76), five or more than five drugs (OR 4.08; 95% CI 1.42:11.69)]. Conclusions: About four out of 10 older Albanian patients experience PIP in primary care. Further studies are needed for a comprehensive estimation of the prevalence and factors associated with PIP, particularly among elderly with mild cognitive impairment.

scholarly journals Cognitive Impairment and Dementia in Primary Care: Current Knowledge and Future Directions Based on Findings From a Large Cross-Sectional Study in Crete, Greece

2020 ◽  
Vol 7 ◽  
Author(s):  
Antonios Bertsias ◽  
Emmanouil Symvoulakis ◽  
Chariklia Tziraki ◽  
Symeon Panagiotakis ◽  
Lambros Mathioudakis ◽  
...  
Keyword(s):  
Primary Care ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Linear Model ◽  
Generalized Linear Model ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Primary Care Consultation ◽  
Care Consultation

Introduction: Dementia severely affects the quality of life of patients and their caregivers; however, it is often not adequately addressed in the context of a primary care consultation, especially in patients with multi-morbidity.Study Population and Methods: A cross-sectional study was conducted between March-2013 and December-2014 among 3,140 consecutive patients aged >60 years visiting 14 primary health care practices in Crete, Greece. The Mini-Mental-State-Examination [MMSE] was used to measure cognitive status using the conventional 24-point cut-off. Participants who scored low on MMSE were matched with a group of elders scoring >24 points, according to age and education; both groups underwent comprehensive neuropsychiatric and neuropsychological assessment. For the diagnosis of dementia and Mild-Cognitive-Impairment (MCI), the Diagnostic and Statistical Manual-of-Mental-Disorders (DSM-IV) criteria and the International-Working-Group (IWG) criteria were used. Chronic conditions were categorized according to ICD-10 categories. Logistic regression was used to provide associations between chronic illnesses and cognitive impairment according to MMSE scores. Generalized Linear Model Lasso Regularization was used for feature selection in MMSE items. A two-layer artificial neural network model was used to classify participants as impaired (dementia/MCI) vs. non-impaired.Results: In the total sample of 3,140 participants (42.1% men; mean age 73.7 SD = 7.8 years), low MMSE scores were identified in 645 (20.5%) participants. Among participants with low MMSE scores 344 (54.1%) underwent comprehensive neuropsychiatric evaluation and 185 (53.8%) were diagnosed with Mild-Cognitive-Impairment (MCI) and 118 (34.3%) with dementia. Mental and behavioral disorders (F00-F99) and diseases of the nervous system (G00-G99) increased the odds of low MMSE scores in both genders. Generalized linear model lasso regularization indicated that 7/30 MMSE questions contributed the most to the classification of patients as impaired (dementia/MCI) vs. non-impaired with a combined accuracy of 82.0%. These MMSE items were questions 5, 13, 19, 20, 22, 23, and 26 of the Greek version of MMSE assessing orientation in time, repetition, calculation, registration, and visuo-constructive ability.Conclusions: Our study identified certain chronic illness-complexes that were associated with low MMSE scores within the context of primary care consultation. Also, our analysis indicated that seven MMSE items provide strong evidence for the presence of dementia or MCI.

Association of Dietary Habits with Mild Cognitive Impairment among Elderly in Rural Area of North China

2021 ◽  
Vol 18 ◽  
Author(s):  
Huilian Duan ◽  
Changqing Sun ◽  
Yun Zhu ◽  
Qian Liu ◽  
Yue Du ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Rural Area ◽  
Dietary Habits ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Cooking Oil ◽  
Meal Timing

Background: Recent findings suggest a possible role of diet, particularly nutrient in- takes and dietary patterns, in the prevalence of mild cognitive impairment (MCI); few studies, how- ever, have been explicitly devoted to the relationship between dietary habits and MCI. Objectives: We aimed to explore the association between dietary habits, including meal timing, and MCI among older Chinese adults. Methods: This cross-sectional study involved data collected at the baseline of the Tianjin Elderly Nutrition and Cognition Cohort (TENCC) study, in which 3,111 community-dwelling older adults (326 MCI patients and 2,785 non-MCIs) from a rural area of Tianjin, China, were recruited. In March 2018 to June 2019, all participants underwent a detailed neuropsychological evaluation that allowed for psychometric MCI classification. Information on self-reported dietary behaviors was gathered via face-to-face interviews. Crude and multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using logistic regression models. Results: In the multivariable-adjusted models, eating breakfast 4 to 6 times per week (vs. ≤3 times per week, OR: 0.45; 95% CI: 0.26, 0.75), drinking water before breakfast (yes vs. no, OR: 0.64; 95% CI: 0.51, 0.82), consuming water ≥1.5L per day (vs. <1.5L per day, OR: 0.64; 95% CI: 0.51, 0.82), and having lunch after 12:00 (vs. before 12:00, OR: 0.59; 95% CI: 0.47, 0.75) were associat- ed with decreased risk of MCI. Participants who consumed higher amounts of cooking oil were at a higher risk of MCI (moderate vs. low, OR: 1.42; 95% CI: 1.04, 1.92; high vs. low, OR: 1.40; 95% CI: 1.07-1.83). Conclusion : This study suggests that dietary habits, including breakfast frequency, daily water consumption, cooking oil consumption, and meal timing, may be associated with the risk of MCI. If replicated, these findings would open new possibilities of dietary interventions for MCI.

scholarly journals Impaired abstract thinking may discriminate between normal aging and vascular mild cognitive impairment

2010 ◽  
Vol 68 (2) ◽  
pp. 179-184 ◽  
Author(s):  
Felipe Kenji Sudo ◽  
Gilberto Sousa Alves ◽  
Carlos Eduardo de Oliveira Alves ◽  
Maria Elisa Lanna ◽  
Letice Ericeira-Valente ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cerebrovascular Disease ◽  
Cognitive Deficits ◽  
Cross Sectional Study ◽  
Abstract Thinking ◽  
Sectional Study ◽  
Cross Sectional ◽  
Elderly Individuals ◽  
Healthy Elderly

OBJECTIVE: Cerebrovascular disease (CVD) is associated with cognitive deficits. This cross-sectional study examines differences among healthy elderly controls and patients with vascular mild cognitive impairment (VaMCI) and vascular dementia (VaD) in performances on CAMCOG subscales. METHOD: Elderly individuals (n=61) were divided into 3 groups, according to cognitive and neuroimaging status: 16 controls, 20 VaMCI and 25 VaD. VaMCI and VaD individuals scored over 4 points on the Hachinski Ischemic Scale. RESULTS: Significant differences in total CAMCOG scores were observed across the three groups (p<0.001). VaD subjects performed worse than those with VaMCI in most CAMCOG subscales (p<0.001). All subscales showed differences between controls and VaD (p<0.001). Performance on abstract thinking showed difference between VaMCI and controls (p<0.001). CONCLUSION: CAMCOG discriminated controls from VaMCI and VaD. Assessment of abstract thinking may be useful as a screening item for diagnosis of VaMCI.

scholarly journals How can automated linguistic analysis help to discern functional cognitive disorder from healthy controls and mild cognitive impairment?

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S7-S7
Author(s):  
Lizzie Beavis ◽  
Ronan O'Malley ◽  
Bahman Mirheidari ◽  
Heidi Christensen ◽  
Daniel Blackburn
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Delayed Diagnosis ◽  
Age Of Acquisition ◽  
Linguistic Analysis ◽  
Cross Sectional Study ◽  
Cognitive Disorder ◽  
Remote Memory ◽  
Healthy Controls ◽  
Cross Sectional

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.

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