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BACKGROUND: The Rey-Osterrieth Complex Figure Test (ROCFT) and the Clock Drawing Test (CDT) are commonly used in clinical practice. The ROCFT measures constructional praxis, visual perception, and visuospatial learning and memory, and the CDT assesses for visuospatial, constructional, and executive difficulties. Several neurological disorders are associated with visuospatial and visuo-constructional impairments, yet reliable normative data accounting for sociodemographic and acculturative variables are scarce for Hispanics living in the U.S. OBJECTIVE: To generate normative data for the ROCFT and CDT in a Spanish-speaking adult population living in the U.S. METHODS: The sample consisted of 245 cognitively healthy normal adults recruited from several states in the U.S. Each participant was administered the ROCFT and CDT as part of a larger cognitive battery. The ROCFT and CDT were normed using a Bayesian approach. Age, age2, education, sex, acculturation, and language proficiency were included as predictors in the analyses. RESULTS: ROCFT performance was associated with education and age, particularly as they interacted with Spanish language proficiency and time spent in the U.S. Education was significantly associated with recall abilities and a lower memory recall on the ROCFT. Age was found to vary depending on a person's bilingual abilities. Sex did not emerge as a predictor of performance, and it did not interact significantly with other variables. CONCLUSION: This is the first study to include acculturation and language proficiency variables in the creation of norms for the assessment of visuo-constructional abilities. This study will have a large impact on the practice of neuropsychology in the U.S.

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Background: The Clock Drawing Test (CDT) is used to screen for Alzheimer's disease and other dementia disorders. Normative scores on the version from the Montreal Cognitive Assessment (MoCA) do not exist in the Nordic countries. Objective: To examine the normative scores of the CDT among adults aged 70 years and older. Methods: We included 4,023 cognitively healthy persons aged 70-97 years from a population survey in Norway. They were examined with the CDT, which has a total score between zero and three. A multiple multinominal regression model was applied with a CDT score as the dependent categorical variable and estimated the probabilities of scoring a particular score, stratified by age, sex, and education. These probabilities correspond to an expected proportion of the normative population scoring at, or below a given percentile. Results: None scored zero, 2.1% scored one, 14.9% scored two, and 83% scored three. Higher age, female sex and fewer years of schooling were associated with poorer performance. Scores of zero and one deviated from the normative score regardless of age, sex and education. A score of two was within the norm for a female older than 81 and a male older than 85. Conclusions: The majority (83%) of people 70 years and older had a score of three on the CDT. Lower age, male sex, and higher education were associated with a better performance. Scores of zero and one were below the normative score. Except for the very old, a score of two was also well below the normative score.

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The diagnosis of neurocognitive diseases is an important health issue for patients, families and healthcare professionals. The need to develop rapid, high-performance screening tools would improve access to care. The Clock Drawing Test (CDT) is widely used and validated with the older adults, and its digital version is becoming increasingly widespread. We propose to confirm its validity in a population of old patients hospitalized in a geriatric unit, and secondly to verify its performance in comparison with the reference diagnosis made by a specialized team in a memory consultation. CDTs were collected from older hospitalized patients, both in paper form and digitally on a touchscreen tablet. The results show good agreement between the paper and digital versions (kappa coefficient = 0.81). Sensitivity and specificity of the digital CDT were 0.84 and 0.59 respectively for the diagnosis of major cognitive disorders. The corresponding values were 0.72 and 0.59 for the diagnosis of mild neurocognitive disorders. User questionnaires indicate that older participants find the digital tablet easy to use. However, they prefer to use paper, even if they are open to learning how to use the tablet.

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BACKGROUND: Cerebral microbleeds (CMB) increase the risk for Alzheimer disease. Current neuroimaging methods that are used to detect CMB are costly and not always accessible. OBJECTIVE: This study aimed to explore whether the digital clock-drawing test (DCT) may provide a behavioral indicator of CMB. METHODS: In this study, we analyzed data from participants in the Framingham Heart Study offspring cohort who underwent both brain magnetic resonance imaging scans (Siemens 1.5T, Siemens Healthcare Private Limited; T2*-GRE weighted sequences) for CMB diagnosis and the DCT as a predictor. Additionally, paper-based clock-drawing tests were also collected during the DCT. Individuals with a history of dementia or stroke were excluded. Robust multivariable linear regression models were used to examine the association between DCT facet scores with CMB prevalence, adjusting for relevant covariates. Receiver operating characteristic (ROC) curve analyses were used to evaluate DCT facet scores as predictors of CMB prevalence. Sensitivity analyses were conducted by further including participants with stroke and dementia. RESULTS: The study sample consisted of 1020 (n=585, 57.35% female) individuals aged 45 years and older (mean 72, SD 7.9 years). Among them, 64 (6.27%) participants exhibited CMB, comprising 46 with lobar-only, 11 with deep-only, and 7 with mixed (lobar+deep) CMB. Individuals with CMB tended to be older and had a higher prevalence of mild cognitive impairment and higher white matter hyperintensities compared to those without CMB (P<.05). While CMB were not associated with the paper-based clock-drawing test, participants with CMB had a lower overall DCT score (CMB: mean 68, SD 23 vs non-CMB: mean 76, SD 20; P=.009) in the univariate comparison. In the robust multiple regression model adjusted for covariates, deep CMB were significantly associated with lower scores on the drawing efficiency (ß=-0.65, 95% CI -1.15 to -0.15; P=.01) and simple motor (ß=-0.86, 95% CI -1.43 to -0.30; P=.003) domains of the command DCT. In the ROC curve analysis, DCT facets discriminated between no CMB and the CMB subtypes. The area under the ROC curve was 0.76 (95% CI 0.69-0.83) for lobar CMB, 0.88 (95% CI 0.78-0.98) for deep CMB, and 0.98 (95% CI 0.96-1.00) for mixed CMB, where the area under the ROC curve value nearing 1 indicated an accurate model. CONCLUSIONS: The study indicates a significant association between CMB, especially deep and mixed types, and reduced performance in drawing efficiency and motor skills as assessed by the DCT. This highlights the potential of the DCT for early detection of CMB and their subtypes, providing a reliable alternative for cognitive assessment and making it a valuable tool for primary care screening before neuroimaging referral.

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OBJECTIVE: The Clock Drawing Test (CDT) is a widely used test for cognitive screening as its execution taps into a large number of cognitive functions. Because of the involvement of visuospatial abilities, the CDT is also commonly used to assess hemispatial neglect. In the present study, we introduce a new quantitative scoring method for the CDT that aims to measure the use of space for each half of the clock face and asymmetries of space use. METHOD: Two measures are introduced: the explored space (ES) and used space (US) for each half of the clock, as well as two derived asymmetry indices. Such new measures were applied to CDTs of four groups of participants: right brain-damaged patients without visuospatial neglect, two groups of right brain-damaged patients with varying degrees of visuospatial neglect, and a group of neurologically healthy participants. RESULTS: Analyses showed that only neglect patients explored and used the left clock half significantly less than the right one. This result was also confirmed by the asymmetry indices, where neglect patients showed a stronger rightward bias. For neglect patients, the US asymmetry index correlated with the patients' scores on the neuropsychological tests. The analyses of receiver operating characteristic curves showed that left US and left ES scores had good accuracy in categorizing neglect patients. CONCLUSIONS: The present work provides new quantitative indices of CDT space usage in hemispatial neglect. Cutoffs are provided for clinical practice.

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BACKGROUND: Cognitive impairment (CI) is common among older patients presenting to the emergency department (ED). The failure to recognize CI at ED presentation constitutes a high risk of additional morbidity, mortality, and functional decline. The Clock Drawing Test (CDT) is a well-established cognitive screening test. AIM: In patients presenting to the ED with non-specific complaints (NSCs), we aimed to investigate the usability of the CDT and its prognostic value regarding length of hospital stay (LOS) and mortality. METHOD: Secondary analysis of the Basel Non-specific Complaints (BANC) trial, a prospective delayed type cross-sectional study with a 30-day follow-up. In three EDs, patients presenting with NSCs were enrolled. The CDT was administered at enrollment. RESULTS: In the 1,278 patients enrolled, median age was 81 [74, 87] years and 782 were female (61.19%). A valid CDT was obtained in 737 (57.7%) patients. In patients without a valid CDT median LOS was higher (29 [9, 49] days vs. 22 [9, 45] days), and 30-day mortality was significantly higher than in patients with a valid CDT (n = 45 (8.32%) vs. n = 39 (5.29%)). Of all valid CDTs, 154 clocks (20.9%) were classified as normal, 55 (7.5%) as mildly deficient, 297 (40.3%) as moderately deficient, and 231 (31.3%) as severely deficient. Mortality and LOS increased along with the CDT deficits (p = 0.012 for 30-day mortality; p < 0.001 for LOS). CONCLUSION: The early identification of patients with CI may lead to improved patient management and resource allocation. The CDT could be used as a risk stratification tool for older ED patients presenting with NSCs, as it is a predictor for 30-day mortality and LOS.

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Graphomotor and time-based variables from the digital Clock Drawing Test (dCDT) characterize cognitive functions. However, no prior publications have quantified the strength of the associations between digital clock variables as they are produced. We hypothesized that analysis of the production of clock features and their interrelationships, as suggested, will differ between the command and copy test conditions. Older adults aged 65+ completed a digital clock drawing to command and copy conditions. Using a Bayesian hill-climbing algorithm and bootstrapping (10,000 samples), we derived directed acyclic graphs (DAGs) to examine network structure for command and copy dCDT variables. Although the command condition showed moderate associations between variables (µ|ßz|= 0.34) relative to the copy condition (µ|ßz| = 0.25), the copy condition network had more connections (18/18 versus 15/18 command). Network connectivity across command and copy was most influenced by five of the 18 variables. The direction of dependencies followed the order of instructions better in the command condition network. Digitally acquired clock variables relate to one another but differ in network structure when derived from command or copy conditions. Continued analyses of clock drawing production should improve understanding of quintessential normal features to aid in early neurodegenerative disease detection.

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BACKGROUND: Disease-modifying treatments for Alzheimer's disease highlight the need for early detection of cognitive decline. However, at present, most primary care providers do not perform routine cognitive testing, in part due to a lack of access to practical cognitive assessments, as well as time and resources to administer and interpret the tests. Brief and sensitive digital cognitive assessments, such as the Digital Clock and Recall (DCR™), have the potential to address this need. Here, we examine the advantages of DCR over the Mini-Mental State Examination (MMSE) in detecting mild cognitive impairment (MCI) and mild dementia. METHODS: We studied 706 participants from the multisite Bio-Hermes study (age mean ± SD = 71.5 ± 6.7; 58.9% female; years of education mean ± SD = 15.4 ± 2.7; primary language English), classified as cognitively unimpaired (CU; n = 360), mild cognitive impairment (MCI; n = 234), or probable mild Alzheimer's dementia (pAD; n = 111) based on a review of medical history with selected cognitive and imaging tests. We evaluated cognitive classifications (MCI and early dementia) based on the DCR and the MMSE against cohorts based on the results of the Rey Auditory Verbal Learning Test (RAVLT), the Trail Making Test-Part B (TMT-B), and the Functional Activities Questionnaire (FAQ). We also compared the influence of demographic variables such as race (White vs. Non-White), ethnicity (Hispanic vs. Non-Hispanic), and level of education (≥ 15 years vs. < 15 years) on the DCR and MMSE scores. RESULTS: The DCR was superior on average to the MMSE in classifying mild cognitive impairment and early dementia, AUC = 0.70 for the DCR vs. 0.63 for the MMSE. DCR administration was also significantly faster (completed in less than 3 min regardless of cognitive status and age). Among 104 individuals who were labeled as "cognitively unimpaired" by the MMSE (score ≥ 28) but actually had verbal memory impairment as confirmed by the RAVLT, the DCR identified 84 (80.7%) as impaired. Moreover, the DCR score was significantly less biased by ethnicity than the MMSE, with no significant difference in the DCR score between Hispanic and non-Hispanic individuals. CONCLUSIONS: DCR outperforms the MMSE in detecting and classifying cognitive impairment-in a fraction of the time-while being not influenced by a patient's ethnicity. The results support the utility of DCR as a sensitive and efficient cognitive assessment in primary care settings. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT04733989.

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BACKGROUND: Post-stroke neurocognitive disorder, though common, is often overlooked by clinicians. Moreover, although the Montreal Cognitive Assessment (MoCA) has proven to be a valid screening test for neurocognitive disorder, even more time saving tests would be preferred. In our study, we aimed to determine the diagnostic accuracy of the Clock Drawing Test (CDT) for post-stroke neurocognitive disorder and the association between the CDT and MoCA. METHODS: This study is part of the Norwegian Cognitive Impairment After Stroke study, a multicentre prospective cohort study following patients admitted with acute stroke. At the three-month follow-up, patients were classified with normal cognition, mild neurocognitive disorder, or major neurocognitive disorder according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria. Any neurocognitive disorder compromised both mild- and major neurocognitive disorder. The CDT at the three-month assessment was given scores ranging from 0 to 5. Patients able to complete the CDT and whose cognitive status could be classified were included in analyses. The CDT diagnostic accuracy for post-stroke neurocognitive disorder was identified using receiver operating characteristic curves, sensitivity, specificity, positive predictive value, and negative predictive value. The association between the MoCA and CDT was analysed with Spearman's rho. RESULTS: Of 554 participants, 238 (43.0%) were women. Mean (SD) age was 71.5 (11.8) years, while mean (SD) National Institutes of Health Stroke Scale score was 2.6 (3.7). The area under the receiver operating characteristic curve of the CDT for major neurocognitive disorder and any neurocognitive disorder was 0.73 (95% CI, 0.68-0.79) and 0.68 (95% CI, 0.63-0.72), respectively. A CDT cutoff of < 5 yielded 68% sensitivity and 60% specificity for any neurocognitive disorder and 78% sensitivity and 53% specificity for major neurocognitive disorder. Spearman's correlation coefficient between scores on the MoCA and CDT was 0.50 (95% CI, 0.44-0.57, p < .001). CONCLUSIONS: The CDT is not accurate enough to diagnose post-stroke neurocognitive disorder but shows acceptable accuracy in identifying major neurocognitive disorder. Performance on the CDT was associated with performance on MoCA; however, the CDT is inferior to MoCA in identifying post-stroke neurocognitive disorder. TRIAL REGISTRATION: ClinicalTrials.gov (NCT02650531). Retrospectively registered January 8, 2016.

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Introduction: The arterial hypertension cause brain vascular damage (white matter lesion) and the burden and progression determine their cognitive consequences. Therefore, arterial hypertension is considered the main modifiable vascular risk factor for cognitive impairment and dementia. Therefore, the aim of the current study was to evaluate the results of cognitive tests in a sample of hypertensive patients and to establish possible associations with structural brain lesions (atrophy, white matter lesions) identified by magnetic resonance imaging Methods: Were included 70 hypertensive patients from Heart-Brain study in Argentina with magnetic resonance imaging and cognitive test. Fazekas scale and the Global Cortical Atrophy were used to quantify the white matter lesions and the brain atrophy, respectively. The Mini-Mental Status Examination, Clock Drawing test and Mini-Boston Naming test were used to evaluate the cognitive status. Results: average age 69.7 ± 10.6 years, 55.7% female). Based on the linear regression analysis, Fazekas scale and cognitive tests were inversely associated. For each grade of increase in Fazekas scale, the clock drawing test (Coef -0.56, CI 95% -1.01 -0.10, p=0.01) and the Mini-mental Status Examination (Coef -0.7, CI 95% -1.27 -0.13, p=0.01) scores decreased. The subcortical atrophy was significantly associated with the clock drawing test (OR 3.29, CI 95% 1.25-8.63; p=0.016). Conclusion: The cognitive tests, particularly the clock drawing test could be used (in the clinical routine practice) as "subrrogate" of the brain structural hypertension-mediated damage.

Introducción: La hipertensión arterial causa daño vascular cerebral (lesiones de sustancia blanca) y su carga y progresión determinan las consecuencias cognitivas. Así, la hipertensión es considerada el principal factor de riesgo vascular modificable para desarrollar deterioro cognitivo y demencia. Por lo tanto el objetivo de la presente investigación fue evaluar el resultado de los test cognitivos en una muestra de pacientes hipertensos y establecer las posibles asociaciones con las lesiones estructurales del cerebro (atrofia, lesiones de sustancia blanca) identificadas mediante resonancia magnética. Métodos: Se incluyeron 70 pacientes hipertensos pertenecientes al estudio Corazón-Cerebro en Argentina a los que se les realizó resonancia magnética y evaluación cognitiva. Se utilizaron las escalas de Fazekas y la Global Cortico Atrophy para evaluar las lesiones de sustancia blanca y la atrofia cerebral, respectivamente y el Mini-mental test, el test del reloj y el test de denominación Mini-Boston para conocer el estatus cognitivo. Resultados: Edad promedio 69.7 ± 10.6 años, 55.7% mujeres. Basados en el análisis de regresión lineal, la escala de Fazekas se asoció en forma inversa con los test cognitivos. Por cada punto de aumento en la escala de Fazekas el puntaje del test del reloj descendió -0.56 (IC 95% -1.01 -0.10, p=0.01) y el Mini-mental test -0.7 (IC95% -1.27 -0.13, p=0.01). La atrofia subcortical se asoció en forma inversa solo con el test del reloj (OR 3.29, IC 95% 1.25-8.63; p=0.016). Conclusión: Los test cognitivos, en especial el test del reloj, podrían ser utilizados, en la práctica clínica asistencial, como un subrogado del daño estructural del cerebro mediado por la hipertensión arterial.

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BACKGROUND: Alzheimer's disease (AD) is the leading cause of dementia in older adults, but most people are not diagnosed until significant neuronal loss has likely occurred along with a decline in cognition. Non-invasive and cost-effective digital biomarkers for AD have the potential to improve early detection. OBJECTIVE: We examined the validity of DCTclockTM (a digitized clock drawing task) as an AD susceptibility biomarker. DESIGN: We used two primary independent variables, Apolipoprotein E (APOE) ε4 allele carrier status and polygenic risk score (PRS). We examined APOE and PRS associations with DCTclockTM composite scores as dependent measures. SETTING: We used existing data from the Framingham Heart Study (FHS), a community-based study with the largest dataset of digital clock drawing data to date. PARTICIPANTS: The sample consisted of 2,398 older adults ages 60-94 with DCTclockTM data (mean age of 72.3, 55% female and 92% White). MEASUREMENTS: PRS was calculated using 38 variants identified in a recent large genome-wide association study (GWAS) and meta-analysis of late-onset AD (LOAD). RESULTS: Results showed that DCTclockTM performance decreased with advancing age, lower education, and the presence of one or more copies of APOE ε4. Lower DCTclockTM Total Score as well as lower composite scores for Information Processing Speed (both command and copy conditions) and Drawing Efficiency (command condition) were significantly associated with higher PRS levels and more copies of APOE ε4. APOE and PRS associations displayed similar effect sizes in both men and women. CONCLUSIONS: Our results indicate that higher AD genetic risk is associated with poorer DCTclockTM performance in older adults without dementia. This is the first study to demonstrate significant differences in clock drawing performance on the basis of APOE status or PRS.

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OBJECTIVE: Previous findings suggest that time setting errors (TSEs) in the Clock Drawing Test (CDT) may be related mainly to impairments in semantic and executive function. Recent attempts to dissociate the classic stimulus-bound error (setting the time to "10 to 11" instead of "10 past 11") from other TSEs, did not support hypotheses regarding this error being primarily executive in nature or different from other time setting errors in terms of neurocognitive correlates. This study aimed to further investigate the cognitive correlates of stimulus-bound errors and other TSEs, in order to trace possible underlying cognitive deficits. METHODS: We examined cognitive test performance of participants with preliminary diagnoses associated with mild cognitive impairment. Among 490 participants, we identified clocks with stimulus-bound errors (n = 78), other TSEs (n = 41), other errors not related to time settings (n = 176), or errorless clocks (n = 195). RESULTS: No differences were found on any dependent measure between the stimulus-bound and the other TSErs groups. Group comparisons suggested TSEs in general, to be associated with lower performance on various cognitive measures, especially on semantic and working memory measures. Regression analysis further highlighted semantic and verbal working memory difficulties as being the most prominent deficits associated with these errors. CONCLUSION: TSEs in the CDT may indicate underlying deficits in semantic function and working memory. In addition, results support previous findings related to the diagnostic value of TSEs in detecting cognitive impairment.

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Objective Due to the increasing elderly population and number of dementia patients, the current number of psychiatrists and neurologists remains insufficient to treat dementia in Japan. Therefore, a simple method for accurately performing a dementia diagnosis, including that of primary care physicians, is sought in clinical practice. Methods A retrospective study was conducted on patients who made their first visit due to amnesia between October 2020 and October 2022. The sensitivities and specificities of four spatial recognition and planning ability evaluation methods (fox finger imitation test, pentagon-copying test (PCT), cube-copying test (CCT), and clock-drawing test (CDT) ) were calculated. The difference between the Mini-Mental State Examination (MMSE) scores, as an evaluation of memory and language impairment, and CDT scores were assessed using the Mann-Whitney U test. Patients Fifty-one patients with dementia and 6 patients without dementia were examined in this study. Results The sensitivity and specificity were 31.4% and 100% for the fox finger imitation tests, 29.4% and 100% for PCT, 62% and 83.3% for CCT, and 72.5% and 100% for CDT, respectively. The sensitivity increased to 78.4% when the CCT and CDT results were combined. Spearman's rank correlation coefficient between the MMSE and CDT scores of the 51 patients with dementia showed a significantly positive correlation (r = 0.62, p <0.001). Comparing Alzheimer's disease (AD) and dementia with Lewy bodies (DLB), the difference between the MMSE and CDT scores was significantly greater in patients with DLB. Conclusion To quickly screen for dementia, a combination of CCT and CDT is recommended for the highest sensitivity (78.4%). In addition, the difference between the CDT and MMSE scores is considered to be useful for differentiating DLB from AD.

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Alzheimer's disease is an incurable disorder that accounts for up to 70% of all dementia cases. While the prevalence of Alzheimer's disease and other types of dementia has increased by more than 160% in the last 30 years, the rates of undetected cases remain critically high. The present work aims to address the underdetection of Alzheimer's disease by proposing four logistic regression models that can be used as a foundation for community-based screening tools that do not require the participation of medical professionals. Our models make use of individual clock drawing errors as well as complementary patient data that is highly available and easily collectible. All models were controlled for age, education, and gender. The discriminative ability of the models was evaluated by area under the receiver operating characteristic curve (AUC), the Hosmer-Lemeshow test, and calibration plots were used to assess calibration. Finally, decision curve analysis was used to quantify clinical utility. We found that among 10 possible CDT errors, only 3 were informative for the detection of Alzheimer's disease. Our base regression model, containing only control variables and clock drawing errors, produced an AUC of 0.825. The other three models were built as extensions of the base model with the step-wise addition of three groups of complementary data, namely cognitive features (semantic fluency score), genetic predisposition (family history of dementia), and cardio-vascular features (BMI, blood pressure). The addition of verbal fluency scores significantly improved the AUC compared to the base model (0.91 AUC). However, further additions did not make a notable difference in discriminatory power. All models showed good calibration. In terms of clinical utility, the derived models scored similarly and greatly outperformed the base model. Our results suggest that the combination of clock symmetry and clock time errors plus verbal fluency scores may be a suitable candidate for developing accessible screening tools for Alzheimer's disease. However, future work should validate our findings in larger and more diverse datasets.

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BACKGROUND: Decline in olfaction may occur after general anesthesia, but the exact incidence and underlying physiopathology remain scarcely investigated. Olfactory dysfunction arises with aging and is known to be linked to cognitive impairment. In this pilot study, we evaluated the incidence of immediate postoperative decline in olfaction and its association with a preoperative cognitive test, performance at Clock Drawing Test (CDT), in a group of older patients. METHODS: This pilot study is a sub-analysis of a prospective observational study. Patients ≥ 65 years old and scheduled for elective non-cardiac surgery under sevoflurane-based anesthesia were enrolled. CDT was part of the preoperative evaluation. We assessed olfaction on the day before and the day after surgery (between 16 and 26 h postoperatively) using the Sniffin' Sticks 12-item identification test, which consists of pen-like devices displaying 12 different odors. Postoperative decline in olfaction was defined as a decrease of at least 1 standard deviation in the olfactory score. RESULTS: We included a total of 93 patients, among whom 19 (20.4%) presented a postoperative decline in olfaction. The incidence of postoperative decline in olfaction was higher in the "CDT low-score" (score ≤ 5/8) group (11/34, 32.4%) than in the "CDT high-score" (score ≥ 6/8) group (8/58, 13.6%) (P = 0.030). Despite adjusting for confounding variables, CDT score remained independently associated with immediate postoperative decline in olfactory identification function (OR 0.67, 95% CI 0.48 to 0.94, P = 0.022). CONCLUSIONS: Postoperative decline in olfaction occurred in 20.4% of older patients and was associated with poor preoperative performance at CDT. TRIAL REGISTRATION: This study was retrospectively registered on https://clinicaltrials.gov/ under the NCT04700891 number (principal investigator: Victoria Van Regemorter), in December 2020.

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Background: Transcatheter aortic valve implantation (TAVI) has recently become more common as a treatment for severe, symptomatic aortic stenosis (AS). Cognitive impairment (CI) is strongly associated with the prognosis of TAVI patients. However, some cognitive assessments currently in use are difficult to perform routinely in the clinical setting. To easier CI evaluation, we investigated whether CI using the clock-drawing test (CDT), one part of the Mini-Cog, affects the postoperative prognosis of TAVI patients with AS. Methods: The present study enrolled 52 patients (median age, 85 years; 28.8% male) who underwent TAVI and were discharged between 2019 and 2021. The outcome was readmission for all causes within one year of discharge and patients were grouped according to whether they were readmitted or not. Cognitive function was assessed using the Mini-Cog which combines verbal playback and CDT. Results: Of the 52, 11 patients (21.2%) comprised readmission group, including 4 (36.4%) each for fracture and infection, and 1 (9.1%) each for heart failure, subdural hematoma, and pneumothorax. Median Mini-Cog score was lower in the readmission group than in the non-readmission group (4 vs. 5; P < 0.05). The frequency of Mini-Cog score < 3 (indicative of CI) and CDT failure were significantly higher in the readmission group than in the non-readmission group, respectively (46% vs. 7%, P < 0.01) (46% vs. 12%, P < 0.05). Both of Mini-Cog score < 3 and CDT failure were independently associated with readmission. The areas under the curve showed CDT was an indicator of readmission with similar accuracy to the Mini-Cog score < 3. Kaplan-Meier curves showed significant differences in readmission after 1 year between the 2 Mini-Cog groups with scores of < 3 or ≥ 3 points and CDT failure and success. Conclusion: The CDT may be a very easy and simple screening assessment of preoperative CI with readmission within one year after TAVI.

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BACKGROUND: Neurotropism of the hepatitis C virus (HCV) can be the source of subtle neuropsychological symptoms in non-cirrhotic patients. Age is a risk factor for cognitive impairment (CI). Thus, asymptomatic elderly people who carry HCV might be at a greater risk of CI. Education can influence test performance. OBJECTIVES: (1) To verify whether elderly people with HCV performed poorer than controls on cognitive tests. (2) To analyze how education affects performance. (3) To verify whether the extent of the effect of education on performance depends on the group (HCV vs. controls) and the type of cognitive test. METHODS: Asymptomatic HCV carriers older than 60 years (n = 41) were matched with 41 corresponding controls. All participants performed the following tests: Mini-Cog, Mini Mental State Examination, clock drawing test (CDT), and verbal fluency. RESULTS: (1) There were no significant differences in cognitive performance between the two groups. (2) Higher education was always associated with better performance. (3) There was a significant group difference in the slopes of the regression lines between years of education and CDT performance. No differences were found for the other three tests. CONCLUSION: Considering the scores on the CDT, the rate of improvement in performance when schooling increases is higher in HCV carriers.

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BACKGROUND: The clock drawing test (CDT) and the Mini Mental State Examination (MMSE) are frequently used screening instruments for cognitive impairment, however, the precise contribution of the CDT to the MMSE is largely unknown. METHODS: We studied patients with subjective cognitive impairment (SCI, n = 481), mild cognitive impairment (MCI, n = 628) and Alzheimer's disease (AD, n = 1099). Discrimination between patients was examined with multiple logistic regression, adjusted for age, sex, and education. Four groups were constructed based on a normal/abnormal MMSE (cut-off <24/30) versus normal/abnormal CDT (cut-off ≤2/3). Visually rated medial temporal lobe atrophy (MTA) on CT was used as parameter of neurodegeneration. RESULTS: The CDT significantly contributed to the MMSE in discriminating SCI from both MCI and AD patients. Our four group analyses showed that of those patients with a normal MMSE and incorrectly classified as SCI, an abnormal CDT could significantly identify 10.0% as MCI and 13.2% as AD. Among those with an abnormal MMSE, the percentage AD patients shifted from 53.1% to 82.1% due to an abnormal CDT. Presence of an abnormal CDT was significantly related to MTA increase, regardless of the MMSE score. CONCLUSION: The CDT is an important additional screening tool to the MMSE. An abnormal CDT with a normal MMSE is an indicator for cognitive impairment. An abnormal CDT in combination with an abnormal MMSE can be considered as an indicator of disease progression.

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Background: Visuospatial dysfunction and cognitive impairment are common in Parkinson's disease (PD), which draw increasing attention in the current literature. But clinicians still lack rapid, effective and unified cognitive battery for visuospatial assessment. Objective: A new approach was studied to explore the feasibility of using mobile application software (APP) to evaluate visuospatial dysfunction in patients with PD and compared with traditional assessment tools. We aimed to verify the threshold score of the APP for early diagnosis. Materials and methods: A total of 41 patients with PD underwent assessments using several test modules including Digit Symbol Test (DST), Visual Organization Test (VOT), Facial Recognition Test (FRT), Vocabulary Memory Test (VMT) of this APP, as well as Clock Drawing Test (CDT), Cube Copying Test (CCT) and the Mini-Mental State Examination (MMSE) for comparison. Among the 41 PD patients, 30 individuals were found to have visuospatial dysfunction based on CDT score < 5 and CCT score of<18 while the remaining 11 patients served as control. Results: There were statistically significant differences in DST, VOT, and FRT scores (all p ≤ 0.001 for group comparisons). DST, VOT, and FRT-1 were significantly correlated with MMSE, CDT and CCT and the correlations were moderate or fairly strong. For visuospatial dysfunction diagnosis, all the areas under curves (AUC) of DST, VOT, and FRT-1 were statistically significant (p < 0.0001, p = 0.0002, and p = 0.0002, respectively). The estimates and 95% confidence intervals of AUC were 0.8303 (0.6868, 0.9739), 0.8045 (0.6423, 0.9668), and 0.7833 (0.6344, 0.9322), respectively. Their cut-off points for visuospatial dysfunction were 26, 17, and 19, respectively. After dichotomization by the cut-off points, DST had high sensitivity of 96.67% while VOT and FRT-1 had high specificity of 81.82 and 90.91%. Conclusion: This study demonstrated that visuospatial disorders was highly prevalent in PD patients, and the APP used in study could be a practical clinical screening tool for visuospatial ability assessment with high sensitivity and specificity.

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In the last decade, increasing evidence has emerged linking alterations in the brain-derived neurotrophic factor (BDNF) expression with the development of Alzheimer's disease (AD). Because of the important role of BDNF in cognition and its association with AD pathogenesis, the aim of this study was to evaluate the potential difference in plasma BDNF concentrations between subjects with mild cognitive impairment (MCI; N = 209) and AD patients (N = 295) and to determine the possible association between BDNF plasma levels and the degree of cognitive decline in these individuals. The results showed a significantly higher (p < 0.001) concentration of plasma BDNF in subjects with AD (1.16; 0.13-21.34) compared with individuals with MCI (0.68; 0.02-19.14). The results of the present study additionally indicated a negative correlation between cognitive functions and BDNF plasma concentrations, suggesting higher BDNF levels in subjects with more pronounced cognitive decline. The correlation analysis revealed a significant negative correlation between BDNF plasma levels and both Mini-Mental State Examination (p < 0.001) and Clock Drawing test (p < 0.001) scores. In conclusion, the results of our study point towards elevated plasma BDNF levels in AD patients compared with MCI subjects, which may be due to the body's attempt to counteract the early and middle stages of neurodegeneration.

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