scholarly journals Subjective Cognitive Complaints in Newly-Diagnosed Parkinson’s Disease With and Without Mild Cognitive Impairment

2021 ◽  
Vol 15 ◽  
Author(s):  
Chenxi Pan ◽  
Jingru Ren ◽  
Ping Hua ◽  
Lei Yan ◽  
Miao Yu ◽  
...  

Background: Subjective cognitive complaints (SCCs) and mild cognitive impairment (MCI) are common among patients with Parkinson’s disease (PD). However, the relationship between SCCs and MCI is not well understood. Herein, we aimed to investigate whether there are any differences in the prevalence and risk factors of SCCs between early PD patients with and without MCI.Methods: Overall, 108 newly diagnosed, untreated PD patients underwent comprehensive neuropsychological assessments. PD patients with mild cognitive impairment (PD-MCI) were diagnosed according to the MCI level II criteria. Furthermore, SCCs were measured with the Cognitive Complaints Interview (CCI). Logistic regression analysis, after adjusting for confounding variable, was performed in order to investigate risk factors of SCCs in PD-MCI patients and PD patients with normal cognition (PD-NC).Results: Furthermore, 42 (42.3%) participants reported SCCs and 53 (53.5%) participants were diagnosed with PD-MCI. The prevalence of SCCs in PD-MCI and PD-NC participants was 30.3% and 12.1%, respectively. Logistic regression analyses revealed that the presence of SCCs in PD-MCI group was significantly associated with Non-Motor Symptoms Questionnaire (NMSQ) score (OR = 1.340, 95%CI = 1.115−1.610, p = 0.002), while the presence of SCCs in PD-NC group was significantly associated with time of Stroop Color-Word Test card C (OR = 1.050, 95%CI = 1.009−1.119, p = 0.016).Conclusion: SCCs are frequent among patients with early PD. The prevalence and risk factor of SCCs are distinct in PD with and without MCI. These findings suggest that SCCs in early PD with different cognitive status appear to have different pathogenicity.

2021 ◽  
Vol 12 ◽  
Author(s):  
Yi Xiao ◽  
Ruwei Ou ◽  
Tianmi Yang ◽  
Kuncheng Liu ◽  
Qianqian Wei ◽  
...  

Background: Subjective cognitive complaints (SCCs), which are associated with a higher risk of cognitive decline, are widespread in the patients with Parkinson's disease (PD). The previous studies have reported inconsistent factors related to SCCs in the patients with late-onset PD (LOPD), and there is limited information on SCCs in the patients with early-onset PD (EOPD).Objective: We aimed to investigate the factors associated with SCCs in the drug-naïve patients with EOPD and LOPD without cognitive impairment.Methods: This cross-sectional study included 332 drug-naïve patients with PD, among whom 134 were EOPD and 198 were LOPD. Motor and non-motor symptoms, such as global objective cognitive status, depression, anxiety, apathy, fatigue, sleep, rapid eye movement sleep behavior disorder, orthostatic hypotension, and excessive daytime sleepiness, were assessed.Results: Twenty-five (18.66%) patients with EOPD and 49 (24.74%) patients with LOPD reported SCCs. A multivariate binary logistic regression analysis revealed that older age at onset [odds ratio (OR) = 1.24, P = 0.002], higher apathy score (OR = 1.13, P = 0.003), and lower scores in the visuospatial/executive abilities (OR = 0.25, P < 0.001) and memory (OR = 0.50, P = 0.024) domains of the Montreal Cognitive Assessment were associated with a higher risk of SCCs in the EOPD group. Higher apathy (OR = 1.06, P = 0.011) and anxiety (OR = 1.14, P < 0.001) scores were associated with SCCs in the LOPD group.Conclusion: Subjective cognitive complaints are only associated with mood disorders in patients with LOPD. In addition, SCCs may reflect subthreshold cognitive impairment in the patients with EOPD.


Author(s):  
Iván Galtier ◽  
Antonieta Nieto ◽  
María Mata ◽  
Jesús N. Lorenzo ◽  
José Barroso

ABSTRACT Objective: Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) in Parkinson’s disease (PD) are considered as the risk factors for dementia (PDD). Posterior cortically based functions, such as visuospatial and visuoperceptual (VS-VP) processing, have been described as predictors of PDD. However, no investigations have focused on the qualitative analysis of the Judgment of Line Orientation Test (JLOT) and the Facial Recognition Test (FRT) in PD-SCD and PD-MCI. The aim of this work was to study the VS-VP errors in JLOT and FRT. Moreover, these variables are considered as predictors of PDD. Method: Forty-two PD patients and 19 controls were evaluated with a neuropsychological protocol. Patients were classified as PD-SCD and PD-MCI. Analyses of errors were conducted following the procedure described by Ska, Poissant, and Joanette (1990). Follow-up assessment was conducted to a mean of 7.5 years after the baseline. Results: PD-MCI patients showed a poor performance in JLOT and FRT total score and made a greater proportion of severe intraquadrant (QO2) and interquadrant errors (IQO). PD-SCD showed a poor performance in FRT and made mild errors in JLOT. PD-MCI and QO2/IQO errors were independent risk factors for PDD during the follow-up. Moreover, the combination of both PD-MCI diagnosis and QO2/IQO errors was associated with a greater risk. Conclusions: PD-MCI patients presented a greater alteration in VS-VP processing observable by the presence of severe misjudgments. PD-SCD patients also showed mild difficulties in VS-SP functions. Finally, QO2/IQO errors in PD-MCI are a useful predictor of PDD, more than PD-MCI diagnosis alone.


2021 ◽  
Author(s):  
Nicola Smith ◽  
Owen A Williams ◽  
Lucia Ricciardi ◽  
Francesca Morgante ◽  
Thomas R Barrick ◽  
...  

BACKGROUND Parkinson's disease is the second most common neurodegenerative condition and associated with increasing cognitive dysfunction as the disease progresses. However, subtle cognitive deficits can be detected at diagnosis in 42% of individuals, suggesting that damage may already be present. Our aim was to determine clinical and structural differences in those recently diagnosed with PD who later develop cognitive impairment, and whether these changes predict future cognitive decline. METHODS Clinical and imaging data was acquired from the Parkinson's Progression Markers Initiative for 318 individuals with a diagnosis of Parkinson's disease and baseline 3T T1-weighted MRI. The cohort was divided according to cognitive status over follow-up, with 9 individuals developing Parkinson's disease dementia, 102 developing mild cognitive impairment and 207 remaining cognitively unaffected. FINDINGS At baseline, those who went on to develop cognitive impairment (mild cognitive impairment or dementia) were older with more severe motor and non-motor symptoms (anosmia, rapid eye movement sleep behaviour disorder, depression). Grey matter loss was present in those destined for Parkinson's disease dementia in the precuneus, hippocampi, primary olfactory cortex, lingual gyrus, temporal cortex and cerebellum. Those who later developed mild cognitive impairment had an attenuated but similar pattern of grey matter loss in the temporal lobe, lingual gyrus and cerebellum. Using support vector machines with a feature selection step, future cognitive impairment could be predicted using 11 clinical variables (AUC = 0.81), structural imaging (AUC = 0.72) or a combination of these two modalities (AUC = 0.85). These models more accurately predicted those who developed dementia (subgroup sensitivity 100%). INTERPRETATION Significant abnormalities in cortical structure is present at least three years before dementia manifests in Parkinson's disease, with associated differences in clinical profiles. Combining this data provides a technique to accurately identify future cognitive impairment, providing a non-invasive way to stratify individuals early on.


2020 ◽  
pp. 1-11 ◽  
Author(s):  
María Campos-Magdaleno ◽  
David Leiva ◽  
Arturo X. Pereiro ◽  
Cristina Lojo-Seoane ◽  
Sabela C. Mallo ◽  
...  

Abstract Background Mild cognitive impairment (MCI), as a stage in the cognitive continuum between normal ageing and dementia, is mainly characterized by memory impairment. The aims of this study were to examine CANTAB measures of temporal changes of visual memory in MCI and to evaluate the usefulness of the baseline scores for predicting changes in cognitive status. Methods The study included 201 participants aged over 50 years with subjective cognitive complaints. Visual memory was assessed with four CANTAB tests [paired associates learning (PAL), delayed matching to sample (DMS), pattern recognition memory (PRM) and spatial span (SSP)] administered at baseline and on two further occasions, with a follow-up interval of 18–24 months. Participants were divided into three groups according to the change in their cognitive status: participants with subjective cognitive complaints who remained stable, MCI participants who remained stable (MCI-Stable) and MCI participants whose cognitive deterioration continued (MCI-Worsened). Linear mixed models were used to model longitudinal changes, with evaluation time as a fixed variable, and multinomial regression models were used to predict changes in cognitive status. Results Isolated significant effects were obtained for age and group with all CANTAB tests used. Interactions between evaluation time and group were identified in the PAL and DMS tests, indicating different temporal patterns depending on the changes in cognitive status. Regression models also indicated that CANTAB scores were good predictors of changes in cognitive status. Conclusions Decline in visual memory measured by PAL and DMS tests can successfully distinguish different types of MCI, and considered together PAL, DMS, PRM and SSP can predict changes in cognitive status.


2021 ◽  
Vol 64 (3) ◽  
pp. 40-43
Author(s):  
Lila Rotaru ◽  

Background: Cognitive impairment (CI) is frequent in Parkinson’s disease (PD). CI patients have particular features. These are preliminary data of a cohort study of Moldovan patients with incident Parkinson’s disease. Material and methods: 65 out of 111 consecutive PD patients (mean age 64.87 ± 7.69 y.o.; disease duration 50.21 ± 38.61 mo.; 48 women (43.2%), 63 men (56.8%)) underwent Montreal Cognitive Assessment (MoCA) test. Cognitive status graded as: (1) normal and (2) impaired cognition. Results: There were similar: ages (65.79 ± 7.13 vs 62.17 ± 12.21 y.o.), onset ages (61.44 ± 7.61 vs 57.00 ± 12.95 years), disease duration (49.63 ± 36.78 vs 66.00 ± 26.48) months), levodopa (574.58 ± 129 vs 249.55) and agonists doses (5.19 ± 3.02 vs 1.05 ± 0.05) and Beck scores (8.13 ± 6.21 vs 7.4 ± 3.85), in groups. CI was present in 59 (90.8%) patients; more frequent in patients with cardiovascular risk factors (91.7%, p> 0.05), symmetrical Parkinsonism (93.2%, p> 0.05), and in first disease symptom bradykinesia patients (93.8%, p> 0.05). Upper / Lower Asymmetry Index were lower in CI patients, all lower type patients (p> 0.05) having CI. MoCA scores correlated with Unified Parkinson’s Disease Rating Scale in ON fase (UPDRSon), (r = -0.320, p <0.022), and red flags number (r = -0.590, p < 0.006). Conclusions: Cognitive impairment is more expectable in akinetic, symmetric and lower type Parkinsonism, also in patients with cardiovascular risk factors, with probable PD, and a more motor impairment.


2015 ◽  
Vol 21 (10) ◽  
pp. 1219-1226 ◽  
Author(s):  
Gabriella Santangelo ◽  
Carmine Vitale ◽  
Marina Picillo ◽  
Marcello Moccia ◽  
Sofia Cuoco ◽  
...  

2018 ◽  
Vol 14 (1) ◽  
pp. 16 ◽  
Author(s):  
Jin Yong Hong ◽  
Yoonju Lee ◽  
Mun Kyung Sunwoo ◽  
Young H. Sohn ◽  
Phil Hyu Lee

2021 ◽  
Author(s):  
Yanbing Hou ◽  
Qianqian Wei ◽  
Ruwei Ou ◽  
Lingyu Zhang ◽  
Xiaoqin Yuan ◽  
...  

Abstract Background: Cognitive impairment (CI) is one of the most frequent non-motor features in Parkinson's disease (PD). The frequency of mild cognitive impairment (MCI) was reported to exceed 40% in a large cohort of newly diagnosed PD patients.Method: Resting-state functional MRI (rs-fMRI) data was collected in 47 newly diagnosed drug-naïve PD patients (including 28 PD patients with MCI (PD-MCI subgroup) and 19 PD patients with cognitively unimpaired (PD-CU subgroup)) and 28 age- and sex-matched healthy controls (HCs). Independent component analysis (ICA) can decompose rs-fMRI data into resting state networks (RSNs). Brain intra- and inter-network alterations were investigated in RSNs among PD-MCI, PD-CU, and HCs groups.Results: Seven large-scale brain networks were extracted. The default mode network (DMN), visual network (VN) and sensorimotor network (SMN) were selectively vulnerable in the PD-MCI subgroup relative to the HC group. In PD-MCI patients, the reduced functional connectivity (FC) within the DMN was positively correlated with brief visuospatial memory test-revised (BVMT-R) scores (memory function); the reduced FC within the VN was positively correlated with clock copying test (CCT) scores (visuospatial function). In whole PD patients, the reduced FC within the SMN was negatively correlated with the Unified PD Rating Scale (UPDRS) part III scores. Moreover, FC between the SMN and limbic network, and between the ventral attention network (VAN) and VN were more prone to be damaged in PD patients.Conclusions: The DMN, VN and SMN were disrupted in PD-MCI patients. FC between the SMN and limbic network, and between the VAN and VN were also impaired in PD patients. The impaired intra- and inter-connectivity could provide further insights into the pathophysiological alterations of brain connectivity in newly diagnosed drug-naïve PD.


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