Abstract
Background
Research on sex ratios of Lewy body dementia is controversial, established in small samples, and rarely focused on prodromal stage. The objective is to investigate the clinical sex ratios (men/women) and their associations with clinical features among individuals with mild cognitive impairment with Lewy bodies (MCI-LB), dementia with Lewy bodies (DLB), Parkinson’s disease with mild cognitive impairment (PD-MCI), and Parkinson’s disease with dementia (PDD) in China.
Methods
We conducted a multicenter cohort study, including 1038 individuals with probable MCI-LB, DLB, PD-MCI, or PDD diagnosis from 22 memory clinics in China from January 2018 to March 2022, and recorded their demographic and clinical data by reviewing medical records. Descriptive and regression analyses were used to calculate the sex ratio (men/women), and its associations with demographic and clinical data.
Results
In this study, men comprised 35.14% (men/women sex ratio = 0.54) for MCI-LB, 46.72% (men/women sex ratio = 0.88) for DLB, 63.56% (men/women sex ratio = 1.74) for PD-MCI, and 52.40% (men/women sex ratio = 1.10) for PDD. Sex ratios roughly increased with age. Men had more parkinsonism (p = 0.000) and less fluctuating cognition (p = 0.024) in MCI-LB, and those with PD-MCI had more RBD (p = 0.001). Women with PD-MCI had lower MMSE scores (β ± standard error = − 1.24 ± 0.58, p = 0.04), more irritability (0.95 ± 0.46, p = 0.04) and fluctuating cognition (− 3.41 ± 1.31, p = 0.01), and less parkinsonism (− 2.10 ± 0.97, p = 0.03) than men after adjusting for demographic and cardiometabolic conditions.
Conclusion
There were more women in DLB and MCI-LB, and more men in PD-MCI and PDD. The sex distribution, demographic, and clinical characteristics differed, which strengthened the independence and heterogeneity of the four diseases, and indicated sex-sensitive strategies for management of dementia necessary.
Supplementary Information
The online version contains supplementary material available at 10.1186/s13293-022-00464-w.
Keywords: Gender, Sex ratio, Lewy body disease, Mild cognitive impairment, Parkinson’s disease
Highlights
There are significant sex differences in Chinese population with cognitive impairment in Lewy body disease.
Women were more common in dementia with Lewy bodies and mild cognitive impairment with Lewy bodies cases, had more frequent and severe neuropsychiatric symptoms, and poorer cognition than men.
Men predominant in Parkinson’s disease with mild cognitive impairment and Parkinson’s disease with dementia cases, and performed more frequent RBD and parkinsonism than women.
Dementia with Lewy bodies vs. Parkinson’s disease with dementia, and mild cognitive impairment with Lewy bodies vs. Parkinson’s disease with mild cognitive impairment are distinct disease forms and should not be confused.
Supplementary Information
The online version contains supplementary material available at 10.1186/s13293-022-00464-w.
Background
Lewy body dementia (LBD) comprises a Lewy body disease spectrum of dementia with Lewy bodies (DLB) and Parkinson’s disease with dementia (PDD), and is the second most common neurodegenerative dementia. The two dementias are demarcated clinically from one another by the “one-year rule”, based on the temporal onset of parkinsonism relative to cognitive impairment (i.e., in PDD the motor symptoms precede the onset of dementia by at least one year) [1]. There is considerable clinical heterogeneity; however, some overlaps with core clinical features occur in the prodromal stage [2].
The scientific literature on sex distribution in dementia traditionally reports a more pronounced prevalence and incidence of men in LBD [3, 4], with about 3:2 men/women ratios in DLB, and PDD [5, 6]. Neuropathological studies indicated that women were more predominant in the mixed pathology of “Alzheimer’s disease (AD) + DLB” than in pure LBD, with less likely neocortical (“diffuse”) or intermediate (“limbic”) Lewy body pathologies [7]. Our multicenter study of individuals with LBD in Chinese memory clinics showed a slightly male predominance (50.9% in DLB cases, 57.9% in PDD cases), but without significant sex differences [8]. However, a systemic review [9] showed that five of eight studies with the gender information reported disproportionately more women with DLB, and other three reported disproportionately more men. The slightly female predominance was also reported in a retrospective cohort, with a proportion of 51.4% in the DLB group [10]. Moreover, women with LBD were more prevalent for hallucinations [11], depression and anxiety, and sleep disorders [2] but less frequent with rapid eye movement (REM) sleep behavior disorder (RBD) [12, 13] than men. The sex ratio in LBD remains unclear, particularly in the prodromal stage, with a slight predominance of either men or women. Considering the generally low prevalence of LBD in the general population, as well as a low diagnostic accuracy with available clinical diagnostic criteria, published studies have used limited sample sizes.
To better describe the sex ratios and their relationship with clinical features in a large sample, we provide a multicenter study aiming to investigate the sex distribution among individuals diagnosed with “probable DLB, MCI-LB, PD-MCI and PDD” in China. We hypothesized that the sex differences were significant in DLB, MCI-LB, PD-MCI and PDD, and would be associated with demographic and clinical characteristics, as well as the presence of core clinical features of LBD.
Methods
Study design and participants
This is the second report as a part of the multicenter study on the clinical features of Lewy body disease in China carried out from January 2018 to March 2022 by the China Lewy Body Disease Collaborative Alliance (unpublished). A total of 22 memory clinics from 12 provinces (Additional file 1: eAppendix 1) participated in this multicenter study and provided 1 159 “probable cognitive impairment in Lewy body disease (including DLB, MCI-LB, PD-MCI and PDD)” medical records. After confirmation by two experienced neurologists double-blindly following the criteria, 121 patients with incomplete demographic information (n = 43) or classified as “uncertain diagnosis” (n = 78) were excluded, and 1038 patients (including 74 patients with MCI-LB, 533 with DLB, 118 with PD-MCI, and 313 with PDD) were analyzed. The overall sex ratio of cognitive impairment in Lewy body disease (men/women) was 0.88 (459/524), with an average age of 69.89 ± 8.45 years.
The inclusion criteria were (a) patients were 40–100 years of age and (b) the initial clinical diagnosis was probable MCI-LB, DLB, PD-MCI or PDD. Demographic data, cognitive status, clinical diagnosis at last visit, clinical core features [fluctuating cognition (FLC) [14], visual hallucinations (VHs) [15], parkinsonism [16], and RBD [17, 18]], and neuropsychological assessments [Mini-Mental State Examination (Chinese version) (C-MMSE) [19], Montreal Cognitive Assessment (MoCA) [20], the Activities of daily living (ADL) [21], and the Clinical Dementia Rating (CDR) [22]] were mandatory; while the Neuropsychiatric Inventory (NPI) assessment [15], magnetic resonance imaging (MRI) visual rating scales [Medial Temporal lobe Atrophy (MTA) [23] and Fazekas scales [24]], and Apolipoprotein E (APOE) genotype test were optional. The detailed information is shown in Table 1 and Additional file 1: eAppendixes 2 and 3.
Table 1.
Items | Subitems | Other information |
---|---|---|
Demographic data | Sex | Men or women |
Age at last visit | The age at patients’ last visit at each center | |
Educational years | ||
Onset age | The onset ages were recorded according to patients’ and/or caregivers’ chief complaints. We conducted the onset ages of cognitive impairment (n = 1038) and parkinsonism (n = 781) in this study | |
Interval between cognitive impairment and parkinsonism | The absolute value of onset age of cognitive impairment minus onset age of parkinsonism among the target patients. There were 781 pieces of data were analyzed, since a total of 781 patients (418 men and 363 women; 19 patients in MCI-LB, 331 patients in DLB, 118 patients in PD-MCI and 313 patients in PDD) had parkinsonism in this study | |
Course of disease | Age at last visit minus onset age | |
Sex ratio | Sex ratios mean the number of men divided women (men/women) | |
Clinical core features | Fluctuating cognition | The presence was diagnosed with three or more “yes” responses required for structured questions from caregivers confirmed by the Mayo Fluctuations Composite Scale |
Visual hallucinations | The hallucinations item of 12-item NPI was used to determine the presence of hallucination, as complaining about by the patient and/or caregiver with specifically formed and detailed VH and illusions | |
Parkinsonism | This is diagnosed by having one or more spontaneous cardinal features of parkinsonism included bradykinesia, rest tremor or rigidity evaluated by the motor section (Part III) of the Movement Disorders Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) | |
RBD | It can be confirmed by caregivers who mentioned five or more behaviors that are mentioned in the RBD screening questionnaire (RBD-SQ); or this patient was diagnosed by an overnight video polysomnography | |
Cognitive status | MCI or dementia | |
Clinical diagnosis at last visit | Probable MCI-LB, DLB, PD-MCI or PDD | The diagnostic criteria and clinical core features assessments are detailed described below |
Neuropsychological assessments | Mini-Mental State Examination (Chinese version) | Scores range from 0 (severe impairment) to 30 (no impairment). It is used to evaluate global cognitive function |
Montreal Cognitive Assessment | Scores range from 0 (severe impairment) to 30 (no impairment), It is used to evaluate global cognitive function | |
The Activities of daily living | Scores range from 20 (no impairment) to 80 (severe dysfunction), it is used to evaluate the functional status | |
The Clinical Dementia Rating | Scores range from 0.5 (MCI), 1.0 (mild), 2.0 (moderate) to 3.0 (severe), it is used to evaluate the severity of dementia | |
Neuropsychiatric Inventory* |
Each subscale ranges between 0 (NPS) and 12 and the total composite score between 0 (no NPS) and 144, it is used to evaluate the presence and severity of NPS A total of 451 patients (61 patients with MCI-LB, 339 with DLB, 15 with PD-MCI and 36 with PDD) underwent NPI assessment in this study |
|
MRI visual rating scales | Medial Temporal lobe Atrophy* |
Scores range from 0 (no atrophy) to 4 (severe volume loss of hippocampal volume, it is used to evaluate the visual regional brain atrophy in the hippocampus, parahippocampal gyrus, entorhinal cortex and the surrounding cerebrospinal fluid spaces Multiplanar oblique coronal (perpendicular to the axis of the hippocampus), transverse and coronal position reconstructions were made of 3D T1-weighted images for diagnostic multisequence MRI. All of the MRI readings were reviewed by two experienced neuroradiologists double-blindly, and the final rating scores were averaged A total of 922 patients (74 patients with MCI-LB, 480 with DLB, 107 with PD-MCI and 261 with PDD) completed MRI visual rating scales |
Fazekas scales* | Scores range from 0 (no or single punctate lesion) to 3 (large confluent lesions), it is used to reflect the whole white matter lesion. The numbers of participants, the principles of MRI parameters and review are the same as described above | |
APOE genotype* |
Genomic DNA was extracted from peripheral blood stored at -80 ℃, and the APOE gene was amplified by polymerase chain reaction. All genotypes were determined without knowledge of the patient status A total of 167 patients (40 patients with MCI-LB, 111 with DLB, 0 with PD-MCI and 16 with PDD) had the APOE genotype test |
*It means the items or subitems were optional to provide
RBD rapid eye movement sleep behavior disorder, MCI mild cognitive impairment, MCI-LB mild cognitive impairment with Lewy bodies, DLB dementia with Lewy bodies, PD-MCI Parkinson’s disease with mild cognitive impairment, PDD Parkinson’s disease dementia, NPS neuropsychiatric symptoms, MRI magnetic resonance imaging, APOE apolipoprotein E
The Ethics Committees of the 22 centers approved all research activities in this multicenter study and waived informed consent because the data were pseudonymized from registers. The procedures were performed in accordance with the ethical standards of the Committee on Human Experimentation.
Diagnostic criteria
Probable DLB: diagnosed with two or more core symptoms with or without indicative biomarkers, or only one core symptom with one or more indicative biomarkers, according to the criteria of McKeith et al. [1].
Probable MCI-LB: diagnosed if a patient had two or more core clinical features of DLB with or without the presence of a proposed biomarker (positive FP-CIT SPECT or dopamine transporter PET, and/or meta-iodobenzylguanidine scan, and/or polysomnographic confirmation of REM sleep without atonia) or only one core clinical feature plus one or more proposed biomarkers [25]. Since the consensus of the criteria for MCI-LB were in development at the time of first diagnosis, so probable MCI-LB was initially defined with a combination of MCI criteria using Petersen’s criteria in 2011 [26] and DLB criteria by McKeith in 2017 [1], with a MMSE ≥ 20 and CDR score of ≥ 0.5 [27]. The final diagnosis of probable MCI-LB was confirmed by two experienced neurologists double-blindly.
Probable PDD: diagnosed according to the clinical criteria for probable PDD, developed by the Movement Disorder Society in 2007 [28].
Probable PD-MCI: diagnosed by the diagnostic criteria developed by the Movement Disorder Society Task Force level I or level II diagnosis [29].
All patients with cognitive impairment in Lewy body disease mentioned in this study had a probable diagnosis. According to the international consensus of the “one-year rule”, DLB should be diagnosed when cognitive impairment precedes parkinsonism or begins within a year of parkinsonism, and PDD should be diagnosed when parkinsonism precedes cognitive impairment by more than one year.
Statistical analyses
Descriptive analyses were conducted by number (proportion, %) for qualitative variables and mean [± standard deviation (SD)] or median (interquartile range) after normality tests for quantitative variables. The sex ratios were calculated by men (number)/women (number). Variables associated with diagnosis (MCI-LB, DLB, PD-MCI, and PDD) were tested using analysis of variance for quantitative variables and Chi-squared tests for qualitative variables. For comparisons of groups, Student’s t-test was used for normally distributed data and a Mann–Whitney U-test for nonparametric data, qualitative variables were assessed using a Chi-squared test. The R × C contingency tables were used for the comparison of rates among the four groups according to the diagnoses (MCI-LB, DLB, PD-MCI, and PDD), and Fisher's exact test (R × C) was used for samples with theoretical frequencies less than one in Table 3. The P’-values were corrected by Bonferroni correction.
Table 3.
MCI-LB (n = 74) |
DLB (n = 533) |
PD-MCI (n = 118) |
PDD (n = 313) |
χ2 | Cramer's V | P-value | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Num | Pro. (%) | Num | Pro. (%) | Num | Pro. (%) | Num | Pro. (%) | |||||
Education years | 80.79 | 0.28 | 0.000 | |||||||||
0 year | Men | 1 | 4.55 | 7 | 13.73 | 1 | 100.00 | 8 | 24.24 | |||
Women | 21 | 95.45 | 44 | 86.27 | 0 | 0.00 | 25 | 75.76 | ||||
1–6 years | Men | 3 | 15.79 | 55 | 47.83 | 12 | 70.59 | 34 | 48.57 | |||
Women | 16 | 84.21 | 60 | 52.17 | 5 | 29.41 | 36 | 51.43 | ||||
≥ 7 years | Men | 22 | 66.67 | 187 | 50.95 | 62 | 62.00 | 122 | 58.10 | |||
Women | 11 | 33.33 | 180 | 49.05 | 38 | 38.00 | 88 | 41.90 | ||||
Num. of core features | 42.14 | 0.20 | 0.000 | |||||||||
One | Men | 10 | 30.30 | 24 | 47.06 | 9 | 56.25 | 14 | 58.33 | |||
Women | 23 | 69.70 | 27 | 52.94 | 7 | 43.75 | 10 | 41.67 | ||||
Two | Men | 9 | 31.03 | 97 | 43.11 | 50 | 63.29 | 54 | 68.35 | |||
Women | 20 | 68.97 | 128 | 56.89 | 29 | 36.71 | 25 | 31.65 | ||||
Three | Men | 7 | 58.33 | 81 | 49.69 | 14 | 66.67 | 80 | 42.55 | |||
Women | 5 | 41.67 | 82 | 50.31 | 7 | 33.33 | 108 | 57.45 | ||||
Four | Men | 0 | 0.00 | 47 | 50.00 | 2 | 100.00 | 16 | 72.73 | |||
Women | 0 | 0.00 | 47 | 50.00 | 0 | 0.00 | 6 | 27.27 |
Bold means that the significant P values
MCI-LB mild cognitive impairment with Lewy bodies, DLB dementia with Lewy bodies, PD-MCI Parkinson’s disease with mild cognitive impairment, PDD Parkinson’s disease dementia, Num. number of patients, Pro. proportion
Linear and logistic regression analyses were conducted to evaluate sex differences in demographic and clinical outcome measures, and represent the data with β ± standard error (SE). Firstly, we used two linear regression models with sex as the factor, and with demographics (age at cognitive impairment, age at parkinsonism, interval between cognitive impairment and parkinsonism, and course of disease, MRI visual scales [MTA scores (both in left and right) and Fazekas scales], and clinical assessments (C-MMSE, MoCA, ADL, CDR, and NPI and its subitems) as main outcome measures. Then logistic regressions were used to explore the relationship between four clinical core features as the dependent variables and sex ratio with other possible explicative variables in Model 2 [education, cardiometabolic conditions (hypertension, type 2 diabetes mellitus (T2DM), heart disease, and stroke), smoking and alcohol consumption, and age at last visit and course of disease]. The reference modality was “men.”
The IBM SPSS for Windows (version 25.0; IBM Corporation, Armonk, NY, USA) was used for statistical analyses, with p < 0.05 considered significant at the two-tailed α level.
Results
Demographic and clinical characteristics
According to our selection criteria, we assembled four groups in this study: MCI-LB (n = 74, mean age at last visit = 70.46 ± 7.30), DLB (n = 533, mean age at last visit = 72.05 ± 8.22), PD-MCI (n = 118, mean age at last visit = 64.69 ± 8.26), and PDD (n = 313, mean age at last visit = 68.06 ± 7.88). The demographic and clinical characteristics of the patients are shown in Table 2. Men had longer course of disease (p = 0.000), higher proportions of stroke (p = 0.009), smoking (p = 0.000) and alcohol consumption (p = 0.000) than women. Men performed better in C-MMSE (p = 0.006) and MoCA (p = 0.009) and had less depression (p = 0.000). We did not find any sex difference in the demographic information, APOE ε4 status, MTA and Fazekas scores, and ADL, CDR, and NPI scores. The sex-specific characteristics of the four groups are displayed in Additional file 1: Table S1. Women were younger at last visit (p = 0.04), had a shorter course of disease (p = 0.000), and lower scores of MTA (p = 0.001 in left, p = 0.009 in right) than men in PDD cases.
Table 2.
Characteristics a | All | Men | Women | t/Z/χ2 | p-value |
---|---|---|---|---|---|
n = 1038 | n = 514 | n = 524 | |||
Age at last visit, mean (SD), y | 69.89 ± 8.45 | 70.18 ± 8.26 | 69.61 ± 8.63 | − 1.26 | 0.21 |
Age at CI, mean (SD), y | 67.78 ± 8.14 | 68.17 ± 7.92 | 67.39 ± 8.34 | − 1.63 | 0.10 |
Age at PARKb, mean (SD), y | 66.78 ± 8.14 | 66.83 ± 9.04 | 66.16 ± 9.57 | − 0.13 | 0.26 |
Interval between CI and PARKb, mean (SD), y |
2.95 ± 2.56 | 2.96 ± 2.61 | 2.93 ± 2.50 | − 0.15 | 0.88 |
Education, mean (SD), y | 8.90 ± 4.54 | 10.09 ± 4.00 | 7.73 ± 4.74 | − 1.17 | 0.24 |
Course of disease, mean (SD), y | 3.05 ± 2.26 | 3.15 ± 2.40 | 2.95 ± 2.12 | − 7.50 | 0.000 |
Cardiometabolic conditionsc | |||||
Hypertension | 275 (32.54%) | 127 (31.28%) | 148 (33.71%) | 0.57 | 0.45 |
T2DM | 100 (11.83%) | 50 (12.32%) | 50 (11.39%) | 0.17 | 0.68 |
Heart disease | 116 (13.73%) | 52 (12.81%) | 64 (14.58%) | 0.56 | 0.46 |
Stroke | 109 (12.90%) | 65 (16.01%) | 44 (10.02%) | 6.73 | 0.009 |
Smokingc | 139 (16.45%) | 118 (29.06%) | 21 (4.78%) | 90.48 | 0.000 |
Alcohol consumptionc | 109 (12.90%) | 97 (23.89%) | 12 (2.73%) | 84.04 | 0.000 |
APOE ɛ4 carriersd | 56 (33.53%) | 17 (30.91%) | 39 (34.82%) | 0.25 | 0.62 |
MTA scores, mean (SD)e | |||||
Left | 1.19 ± 0.73 | 1.20 ± 0.77 | 1.18 ± 0.70 | − 0.03 | 0.98 |
Right | 1.18 ± 0.75 | 1.19 ± 0.79 | 1.18 ± 0.71 | − 0.19 | 0.85 |
Fazekas scales, mean (SD)e | 1.17 ± 0.69 | 1.16 ± 0.71 | 1.18 ± 0.68 | − 0.57 | 0.57 |
C-MMSE, mean (SD) | 17.86 ± 6.88 | 18.37 ± 7.07 | 17.36 ± 6.65 | − 2.77 | 0.006 |
MoCA, mean (SD) | 12.89 ± 6.51 | 13.44 ± 6.62 | 12.34 ± 6.35 | − 2.76 | 0.006 |
ADL, mean (SD) | 30.91 ± 12.86 | 30.47 ± 12.69 | 31.35 ± 13.02 | − 1.66 | 0.10 |
CDR, mean (SD) | 1.57 ± 0.83 | 1.53 ± 0.84 | 1.60 ± 0.83 | − 1.40 | 0.16 |
NPI scores, mean (SD)f | 12.93 ± 13.01 | 11.73 ± 12.44 | 13.93 ± 13.42 | − 1.91 | 0.05 |
Delusions | 161 (35.94%) | 71 (34.98%) | 90 (36.73%) | 0.15 | 0.67 |
Hallucinations | 336 (75.00%) | 154 (75.86%) | 182 (74.29%) | 0.15 | 0.70 |
Agitation | 117 (26.12%) | 51 (25.12%) | 66 (26.94%) | 0.19 | 0.66 |
Depression | 182 (40.63%) | 64 (31.53%) | 118 (48.15%) | 12.74 | 0.000 |
Anxiety | 161 (35.94%) | 70 (34.48%) | 91 (37.14%) | 0.34 | 0.56 |
Euphoria | 33 (7.37%) | 17 (8.37%) | 16 (6.53%) | 0.55 | 0.46 |
Apathy | 172 (38.39%) | 78 (38.42%) | 94 (38.37%) | 0.00 | 0.99 |
Disinhibition | 53 (11.83%) | 23 (11.33%) | 30 (12.24%) | 0.09 | 0.77 |
Irritability | 154 (34.38%) | 75 (36.95%) | 79 (32.24%) | 1.09 | 0.30 |
Aberrant motor behavior | 134 (29.91%) | 58 (28.57%) | 76 (31.02%) | 0.32 | 0.57 |
Night-time behavior disturbances | 321 (71.65%) | 153 (75.37%) | 168 (68.57%) | 2.53 | 0.11 |
Appetite and eating abnormalities | 112 (25.00%) | 47 (23.15%) | 65 (26.53%) | 0.68 | 0.41 |
Bold means that the significant P values
P-value means the comparison between men and women by Mann–Whitney U test or χ2 test
CI cognitive impairment, PARK parkinsonism, SD standard deviation, ML memory loss, MDs movement disorders, T2DM type 2 diabetes mellitus, APOE apolipoprotein E, MTA medial temporal lobe atrophy, C-MMSE the Mini-Mental State Examination (Chinese version), MoCA the Montreal Cognitive Assessment, ADL the Activity of Daily Living Scale, CDR the clinical dementia rating, NPI the Neuropsychiatric Inventory
aUnless otherwise indicated, data are expressed as number (%) of patients
In the statistical analysis, b781 patients (418 men and 363 women) had parkinsonism and the information of interval between cognitive impairment and parkinsonism; c406 men and 439 women completed cardiometabolic conditions, smoking and alcohol consumption investigation; d55 men and 112 women underwent APOE genotype tests; e449 men and 473 women underwent MTA and Fazekas visual evaluation; f203 men and 245 women underwent NPI assessment
Sex ratios
Men comprised 35.14% (sex ratio = 0.54) for MCI-LB, 46.72% (sex ratio = 0.88) for DLB, 63.56% (sex ratio = 1.74) for PD-MCI, and 52.40% (sex ratio = 1.10) for PDD. The onset age-specific (Fig. 1a) and age at last visit-specific (Fig. 1b) sex ratios for individual diagnostic groups were shown. Women were more common among patients with MCI-LB who developed the disease between the ages of 65 and 75, whereas more men developed PD-MCI before 75 years. Sex ratios roughly increased with age, both of the ages at onset and at last visit in DLB and PDD patients. We also found sex ratios significantly differed among the four groups on the basis of education and number of core features (Table 3). A greater proportion of women were educated less than 7 years and had one or two core features. The sex ratio in favor of men increased with education in patients with MCI-LB, DLB, and PDD.
Sex differences were also found in core clinical features of the four groups (Fig. 2). Compared with women, men with MCI-LB had more parkinsonism (53.85% vs 10.42%, p = 0.000), less FLC (11.54% vs 39.58%, p = 0.024), and those with PD-MCI had more RBD (53.33% vs 23.26%, p = 0.001). Men and women with DLB or PDD had similar rates of FLC, parkinsonism, VHs, and RBD.
Associations between sex and demographic and clinical features
We evaluated the associations between sex and demographic and clinical features in Table 4. Women with PD-MCI were younger when complaining of cognitive impairment (β ± SE = − 2.64 ± 0.97, p = 0.007) and parkinsonism (− 2.60 ± 1.05, p = 0.01) than men after adjusting education and cardiometabolic conditions; however, we found no such sex difference of age for DLB, or PDD groups. Women with PD-MCI were more likely to have lower score of C-MMSE (− 1.24 ± 0.58, p = 0.04), more irritability (0.95 ± 0.46, p = 0.04) and FLC (− 3.41 ± 1.31, p = 0.01), and less parkinsonism (− 2.10 ± 0.97, p = 0.03) than men after adjusting for age at last visit, education, course of disease, and cardiometabolic conditions in Model 2. Being female independently increased the risks of higher NPI score (β ± SE = 6.04 ± 1.72, p = 0.001), especially delusions (0.87 ± 0.34, p = 0.01), hallucinations (0.83 ± 0.36, p = 0.02), depression (1.10 ± 0.31, p = 0.000), and anxiety (0.80 ± 0.27, p = 0.003) in DLB. Moreover, being female was related to higher scores of MTA (both left, p = 0.03 and right, p = 0.05) and Fazekas (p = 0.04) in PD-MCI, but lower scores of MTA (both left, p = 0.003 and right, p = 0.02) in PDD.
Table 4.
Characteristics | MCI-LB | DLB | PD-MCI | PDD | ||||
---|---|---|---|---|---|---|---|---|
Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | |
Women vs. men (Ref.) | ||||||||
Demographicsa | ||||||||
Age at CI, y | − 1.49 ± 2.40 | – | − 1.05 ± 0.87 | – | − 1.47 ± 1.75 | – | − 2.64 ± 0.97** | – |
Age at PARK, y | − 28.02 ± 4.07*** | – | − 0.46 ± 1.03 | – | − 1.98 ± 1.92 | – | − 2.60 ± 1.05* | – |
Interval between CI and PARK, y | 2.72 ± 2.76 | – | 0.54 ± 0.25* | – | 0.49 ± 0.67 | – | − 0.02 ± 0.42 | – |
Course of disease, y | 0.05 ± 0.78 | – | 0.34 ± 0.20 | – | 0.28 ± 0.55 | – | − 0.53 ± 0.35 | – |
MRI visual scalesa | ||||||||
MTA scores | ||||||||
Left | – | − 0.09 ± 0.18 | – | − 0.02 ± 0.07 | – | 0.19 ± 0.09* | – | − 0.20 ± 0.07** |
Right | – | − 0.01 ± 0.18 | – | − 0.02 ± 0.08 | – | 0.18 ± 0.09* | – | − 0.16 ± 0.07* |
Fazekas scales | – | 0.14 ± 0.26 | – | − 0.01 ± 0.07 | – | 0.23 ± 0.11* | – | − 0.08 ± 0.07 |
Clinical assessmentsa | ||||||||
C-MMSE | – | − 1.24 ± 0.58* | – | 0.45 ± 0.67 | – | 0.05 ± 0.28 | – | − 0.02 ± 0.74 |
MoCA | – | − 1.01 ± 0.54 | – | 0.28 ± 0.55 | – | 0.61 ± 0.47 | – | − 0.03 ± 0.67 |
ADL | – | – | – | – | – | 0.95 ± 1.51 | – | − 0.30 ± 1.53 |
CDR | – | – | – | – | – | − 0.08 ± 0.08 | – | − 0.02 ± 0.09 |
NPI | – | 3.63 ± 2.04 | – | 6.04 ± 1.72** | – | – | – | − 1.82 ± 4.46 |
Delusions | – | 0.45 ± 0.26 | – | 0.87 ± 0.34* | – | – | – | 0.12 ± 0.60 |
Hallucinations | – | 0.61 ± 0.44 | – | 0.83 ± 0.36* | – | – | – | 0.43 ± 1.01 |
Agitation | – | 0.33 ± 0.43 | – | 0.17 ± 0.22 | – | – | – | − 0.004 ± 0.13 |
Depression | – | 0.26 ± 0.35 | – | 1.10 ± 0.31*** | – | – | – | 0.02 ± 0.03 |
Anxiety | – | 0.28 ± 0.20 | – | 0.80 ± 0.27** | – | – | – | − 1.01 ± 0.66 |
Euphoria | – | 0.07 ± 0.13 | – | − 0.15 ± 0.10 | – | – | – | − 0.03 ± 0.06 |
Apathy | – | − 0.29 ± 0.31 | – | 0.49 ± 0.33 | – | – | – | − 0.86 ± 1.30 |
Disinhibition | – | 0.31 ± 0.23 | – | − 0.02 ± 0.13 | – | – | – | 0.13 ± 0.10 |
Irritability | – | 0.95 ± 0.46* | – | 0.25 ± 0.24 | – | – | – | − 0.42 ± 0.48 |
Aberrant motor behavior |
– | 0.33 ± 0.29 | – | 0.91 ± 0.34** | – | – | – | 0.63 ± 0.60 |
Night-time behavior disturbances |
– | 0.002 ± 0.37 | – | 0.59 ± 0.36 | – | – | – | 0.13 ± 1.22 |
Appetite and eating abnormalities |
– | 0.33 ± 0.31 | – | 0.27 ± 0.24 | – | – | – | − 0.71 ± 0.50 |
Core clinical featuresb | ||||||||
RBD | – | − 0.05 ± 1.11 | – | 0.23 ± 0.24 | – | − 1.85 ± 0.53** | – | − 0.28 ± 0.29 |
Parkinsonism | – | − 2.10 ± 0.97* | – | − 0.61 ± 0.25* | – | – | – | – |
Fluctuating cognition | – | 3.41 ± 1.31** | – | − 0.26 ± 0.23 | – | 0.70 ± 0.50 | – | 0.55 ± 0.30 |
Visual hallucinations | – | − 1.01 ± 0.99 | – | 0.08 ± 0.27 | – | 0.33 ± 0.49 | – | 0.50 ± 0.38 |
Bold means that the significant P values
In the statistical analysis of Model 1 and Model 2, 62 patients with MCI-LB, 437 patients with DLB, 104 patients with PD-MCI, and 242 patients with PDD were analyzed for the age at CI, course of disease, C-MMSE, MOCA, ADL, and CDR, as well as four core clinical features; 17 patients with MCI-LB, 292 patients with DLB, 104 patients with PD-MCI, and 242 patients with PDD were analyzed for the age at PARK and the interval between CI and PARK; 62 patients with MCI-LB, 434 patients with DLB, 102 patients with PD-MCI, and 236 patients with PDD were analyzed for MRI visual scales; and 61 patients with MCI-LB, 339 patients with DLB, 12 patients with PD-MCI, and 36 patients with PDD were analyzed for NPI. Data represent β ± standard error by linear regressions (a) or logistic regressions (b). *p < 0.05, ** p < 0.01, *** p < 0.001
Model 1: with correction for education, cardiometabolic conditions (hypertension, type 2 diabetes mellitus, heart disease, stroke), smoking and alcohol consumption by linear regressions
Model 2: Model 1 with correction for age at last visit and course of disease
MCI-LB mild cognitive impairment with Lewy bodies, DLB dementia with Lewy bodies, PD-MCI Parkinson’s disease with mild cognitive impairment, PDD Parkinson’s disease dementia, CI cognitive impairment, PARK parkinsonism, MRI Magnetic Resonance Imaging, MTA medial temporal lobe atrophy, C-MMSE the Mini-Mental State Examination (Chinese version), MoCA the Montreal Cognitive Assessment, ADL the Activity of Daily Living Scale, CDR the clinical dementia rating, NPI the Neuropsychiatric Inventory, RBD rapid eye movement sleep behavior disorder
Discussion
In the present study, DLB and MCI-LB were more prevalent in women than men, while PD-MCI and PDD were more prevalent in men than women. Women had more frequent depression, shorter course of disease, and lower C-MMSE and MoCA scores than men. In addition, being female was associated with severe neuropsychiatric symptoms (NPS) in DLB, and lower MTA and Fazekas scores in PDD. This multicenter study first described the sex-specific characteristics of LBD in the prodromal and dementia stages, reflecting the clinical practice of LBD in China to a certain extent.
Sex ratios in cognitive impairment in Lewy body disease
We found that women were more common in DLB (64.86%), while men were slightly predominant in PDD with a proportion of 52.40%, which tended to differ for Western populations. A retrospective cohort in UK aiming to evaluate mortality of DLB showed a slight women predominance (51.4%) [10]. Mouton et al. [3] conducted a cross-sectional clinical study with 10 309 DLB and showed women comprising 54.7% for DLB. Traditionally, scientific literature on sex distribution in dementia has reported a more pronounced or roughly equal prevalence of men in DLB and PDD [2]. Mouton et al. also demonstrated a predominance of men (54.6%) in PDD, in line with previous literature reporting a more pronounced prevalence of men in PDD (in Sweden, n = 297, 61.3% were men [5]; in China, n = 107, 57.9% were men [8]). We firstly reported the sex ratios in MCI-LB and PD-MCI, and found a strong women predominance with 35.14% (sex ratio = 0.54) for MCI-LB, and a strong male predominance with 63.56% (sex ratio = 1.74) for PD-MCI. In addition, the sex ratios varied in different groups classified by age and education years. With the increase of age, in terms of the age at last visit or at onset, sex ratios in favor of men generally showed a rising trend in patients with MCI-LB, DLB, PD-MCI and PDD. PD was significantly prevalent in men, thus it was easy to understand that PD-MCI and PDD, as cognitive disorders progressing from PD, have a higher proportion in men than in women. Women accounted for the majority of DLB patients between 60 and 75 years of age, although the sex ratio gradually decreased with age. However, the sex ratio in favor of females increased with age for DLB patients older than 75 years old in Mouton et al. 's research, as in our study. We supposed that women might be more likely to seek help for dementia in China [30], or have more neuropsychiatric symptoms [31] that are noted during the course of the disease, which led to women predominance. Moreover, these difference may be due to either one or a combination of study design, sample-size, as well as potential ethnoracial, genetic, environmental and occupational factors. We also found that the proportion of men gradually rose both in DLB and PDD with increased education level. This finding may be due to the educational imbalance between older Chinese men and women [32], in that men were educated longer than women.
DLB is diagnosed by clinical symptoms and biomarkers according to current criteria, and the “1-year rule” is remaining supported to distinguish DLB from PDD in clinical practice. Cases of suspected DLB presenting with dementia alone, that is without parkinsonism, may also have been missed and classified as AD, particularly if no other core feature was reported in the patient’s records. Moreover, for those DLB patients with neuropsychiatric symptoms, more “mental disorders” will be diagnosed and treated in the department of psychiatry. Neuropathological studies reported that men were more likely to have pure neocortical (“diffuse”) or intermediate (“limbic”) Lewy body pathologies, whereas women had more AD pathology and cerebrovascular disease [7, 33], and thus more women would also be classified as AD. There are reasons to believe that the clinically suspected DLB is underestimated, particular in women, and women might account for a larger proportion of DLB.
Sex difference in clinical features
Formal studies demonstrated a significant but controversial association between clinical symptoms and sex in DLB, but associations have not been extensively studied for PDD, MCI-LB, or PD-MCI. In this clinical multicenter cohort, women had a non-significantly higher proportion of VHs, and no sex differences were found in other core clinical features. Chiu et al. [11] showed that VHs were more common in women with clinical DLB adjusted for age and disease severity, with the same finding in the cohort of van de Beek [34]. In a Japanese study with 234 clinical DLB patients [35], VHs and FLC were non-significantly more prevalent for women, while parkinsonism (p = 0.027) and RBD (p = 0.000) were more prevalent for men. In a pathological DLB study [36] based on the NACC Neuropathology Data Set, fewer women had VHs (p = 0.009), RBD (p = 0.007), or parkinsonism (p = 0.007) compared with men. In patients with MCI-LB, we found that RBD was the most common but with no sex difference; women had more FLC (39.58% vs 11.54%, p = 0.024) and men had more parkinsonism (53.85% vs 10.42%, p = 0.000). We also found that RBD was the second most common clinical feature after parkinsonism and was more frequent for men (53.33% vs 23.26%, p = 0.001) with PD-MCI. In the prodromal and dementia stages of LBD, patients show different sex predominance in core clinical features. Previous studies in patients with PD and PDD showed that RBD was more common in men [12, 37], and its presence and severity were associated with decreased cerebrospinal fluid (CSF) alpha-synuclein level [38, 39]. Although Yu et al. [39] showed that omen had lower CSF alpha-synuclein levels (1429 ± 164 vs 1831 ± 60, p = 0.02) than men, and only one longitudinal study [40] revealed a significant correlation between estimated changes in alpha-synuclein level and RBD-SQ scores (p = 0.001, data not available), we still do not know how sex influences occurrence of RBD by influencing alpha-synuclein levels. The FLCs included memory, attention, executive functions, language, and visuospatial function fluctuation during the day and over weeks. Women with MCI-LB had worse cognitive function in the current study, possibly contributing to the women’s predominance of FLC. The frequency of FLC in MCI-LB cases has not been determined.
Consistent with previous literature [12, 41], NPS occurred frequently and severely in DLB female cases in our cohort. Several studies also showed that, even in the earliest disease stages, NPS can be present [27, 42, 43], but we found no significant sex differences in patients with MCI-LB. The PDD patients showed significant sex differences with more hippocampal and white-matter damage in men, possibly because 17β-estradiol (E2) conveys neuroprotective effects on the hippocampal and cardio-cerebral vascular system in women [44, 45]. Previous studies have demonstrated that estradiol levels have effect on cognition and memory during menopause transition, and women could have better cognitive and memory performance in relevant tasks after estradiol-based hormone therapy (E2-HT) [46–48]. According to the baseline information of Cardiovascular Risk factors, Aging and Dementia cohort [47], women who had used E2-HT for > 5 years had better scores in global cognition, episodic memory, and psychomotor speed tests at baseline than women who had used E2-HT for less than five years or non-users. A prospective, randomized, double-blind, placebo-controlled trial in Korea [48] showed that, when comparing with the control group, menopausal hormone therapy using percutaneous E2 gel and micronized progesterone could significantly reduce the deterioration of MoCA score, and increase the scores of MMSE and MoCA at 24 months for women with MCI. Confusingly, women were associated with higher scores of MTA (both left and right) and Fazekas in PD-MCI, but lower scores of MTA (both left and right) in PDD in linear regression models after adjusting for demographic and clinical features. This may be due to “phased” estradiol protection mechanisms, meaning that premenopausal women maintain high levels of estradiol to protect the hippocampal and cardio-cerebral vascular system, but for a period after menopause (“MCI window”), women show a sudden drop of estradiol levels, a period of time when women have more severe brain damage. However, with the increase of age and entering another stage after menopause (“dementia window”), this kind of damage tends to be gentle in elderly women. The authors consider this hypothesis bold and interesting, and a mechanism worth exploring.
Strength and limitations
The main strength of this study is that this is the first multicenter study in China utilizing a large sample size and focuses on the prodromal stage of LBD. These findings reflect clinical facts, also can represent the clinical characteristics of cognitive impairment in Lewy body disease in Eastern populations and enrich the literature that predominantly compiled of patients from European descent. The clinical diagnosis was made by a physician experienced in neurodegenerative disease, largely supported using PET–CT and CSF biomarkers, as well as regular follow-up to improve diagnostic accuracy. All of the clinical information was reviewed from medical records, which reduced recall bias.
Uncertainty may also occur in deciding how patients exhibiting both MCI/dementia and parkinsonism are best categorized. There are few comparative studies on MCI-LB and PD-MCI, and having no definitive differential diagnostic criteria for them. Thus, we are still referring to the “one-year rule”, similar to that used to separate DLB and PDD, to distinguish some clinical MCI-LB and PD-MCI cases if the onset and order of parkinsonism and cognitive impairment can be clearly established [25]. There were significant neuropathological differences between DLB and PDD, as DLB had greater severity of CAA than PDD [49] and showed higher seeding activity of disease-associated alpha-synuclein than PD [50]. Nevertheless, the diagnosis was based on clinical findings rather than postmortem finding, which might cause diagnostic bias in this study. Additionally, the lack of Unified Parkinson Disease Rating Scale records further affected our research on motor symptoms in cognitive impairment in Lewy body disease. Insufficient accumulation of PET–CT and CSF biomarkers in each center, and incomplete information also affected our further analysis. Finally, the cohort was all Chinese patients in memory clinics but not a community cohort, and had low number of subjects in MCI stage, which might lead to the sampling bias, as well as possible differences with other regions and so limited the generalizability.
Perspectives and significance
This multicenter clinical cohort indicated sex differences in cognitive impairment in Lewy body disease, wherein women were predominant in DLB and MCI-LB cases, and men predominant in PD-MCI and PDD cases. Women seemed to have more frequent and severe NPS, and poorer cognition in DLB. These findings reinforce the arguments that DLB is a distinct disease from PDD, and is not the same disease even in the prodromal stage, thus it should not be confused. More importantly, due to the sex differences in clinical symptoms, it is essential for adopting sex-sensitive strategies for management of dementia. Further research to explore the role of sex differences of in the pathogenesis of LBD may contribute to the sex-specific treatment of dementia.
Supplementary Information
Acknowledgements
The authors thank the neurologists and neuropsychological scale evaluators who coordinated data collection from all centers, as well as the Tianjin Key Medical Discipline (Specialty) Construction Project for their help.
Author contributions
YJ had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Concept and design were performed by YJ and ZS. All authors contribute to collect medical records, and the acquisition, analysis, or interpretation of data. JG wrote the first draft of the manuscript, and ZC, XL, and YL contributed to the critical revision of the manuscript for important intellectual content. Statistical analysis was performed by ZC and SL. Fundings were obtained from YJ and ZS. All authors read and approved the final manuscript.
Funding
The present study was supported by the National Natural Science Foundation of China (funding number 82171182 and 81571057), Science and Technology Project of Tianjin Municipal Health Committee (funding number ZC20121 and KJ20048), the Tianjin Science and Technology Project (funding number 16ZXMJSY00010), and Tianjin Key Medical Discipline (Specialty) Construction Project (Grant Number: TJYXZDXK-052B). The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Availability of data and materials
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Declarations
Ethics approval and consent to participate
The Ethics Committees approved all research activities in this cohort study and waived informed consent because the data were pseudonymized from registers. The procedures were performed in accordance with the ethical standards of the Committee on Human Experimentation.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no conflict of interest.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.McKeith IG, Boeve BF, Dickson DW, Halliday G, Taylor JP, Weintraub D, et al. Diagnosis and management of dementia with Lewy bodies: fourth consensus report of the DLB Consortium. Neurology. 2017;89(1):88–100. doi: 10.1212/WNL.0000000000004058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Taylor JP, McKeith IG, Burn DJ, Boeve BF, Weintraub D, Bamford C, et al. New evidence on the management of Lewy body dementia. Lancet Neurol. 2020;19(2):157–169. doi: 10.1016/S1474-4422(19)30153-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Mouton A, Blanc F, Gros A, Manera V, Fabre R, Sauleau E, et al. Sex ratio in dementia with Lewy bodies balanced between Alzheimer's disease and Parkinson's disease dementia: a cross-sectional study. Alzheimer's Res Therapy. 2018;10(1):92. doi: 10.1186/s13195-018-0417-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Perez F, Helmer C, Dartigues JF, Auriacombe S, Tison F. A 15-year population-based cohort study of the incidence of Parkinson's disease and dementia with Lewy bodies in an elderly French cohort. J Neurol Neurosurg Psychiatry. 2010;81(7):742–746. doi: 10.1136/jnnp.2009.189142. [DOI] [PubMed] [Google Scholar]
- 5.Fereshtehnejad S-M, Religa D, Westman E, Aarsland D, Lökk J, Eriksdotter M. Demography, diagnostics, and medication in dementia with Lewy bodies and Parkinson's disease with dementia: data from the Swedish Dementia Quality Registry (SveDem) Neuropsychiatr Dis Treat. 2013;9:927–935. doi: 10.2147/NDT.S45840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Yue W, Wang XD, Shi Z, Wang Y, Ji Y. The prevalence of dementia with Lewy bodies in a rural area of China. Parkinson Relat Disord. 2016;29:72–77. doi: 10.1016/j.parkreldis.2016.05.022. [DOI] [PubMed] [Google Scholar]
- 7.Nelson PT, Schmitt FA, Jicha GA, Kryscio RJ, Abner EL, Smith CD, et al. Association between male gender and cortical Lewy body pathology in large autopsy series. J Neurol. 2010;257(11):1875–1881. doi: 10.1007/s00415-010-5630-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Gan J, Liu S, Wang X, Shi Z, Shen L, Li X, et al. Clinical characteristics of Lewy body dementia in Chinese memory clinics. BMC Neurol. 2021;21(1):144. doi: 10.1186/s12883-021-02169-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Vann Jones SA, O'Brien JT. The prevalence and incidence of dementia with Lewy bodies: a systematic review of population and clinical studies. Psychol Med. 2014;44(4):673–683. doi: 10.1017/S0033291713000494. [DOI] [PubMed] [Google Scholar]
- 10.Price A, Farooq R, Yuan JM, Menon VB, Cardinal RN, O'Brien JT. Mortality in dementia with Lewy bodies compared with Alzheimer's dementia: a retrospective naturalistic cohort study. BMJ Open. 2017;7(11):e017504. doi: 10.1136/bmjopen-2017-017504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Chiu P-Y, Teng P-R, Wei C-Y, Wang C-W, Tsai C-T. Gender difference in the association and presentation of visual hallucinations in dementia with Lewy bodies: a cross-sectional study. Int J Geriatr Psychiatry. 2018;33(1):193–199. doi: 10.1002/gps.4706. [DOI] [PubMed] [Google Scholar]
- 12.Choudhury P, Graff-Radford J, Aakre JA, Wurtz L, Knopman DS, Graff-Radford NR, et al. The temporal onset of the core features in dementia with Lewy bodies. Alzheimer's Dementia. 2022;18(4):591–601. doi: 10.1002/alz.12411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Oltra J, Segura B, Uribe C, Monté-Rubio GC, Campabadal A, Inguanzo A, et al. Sex differences in brain atrophy and cognitive impairment in Parkinson's disease patients with and without probable rapid eye movement sleep behavior disorder. J Neurol. 2022;269(3):1591–1599. doi: 10.1007/s00415-021-10728-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ferman TJ, Smith GE, Boeve BF, Ivnik RJ, Petersen RC, Knopman D, et al. DLB fluctuations: specific features that reliably differentiate DLB from AD and normal aging. Neurology. 2004;62(2):181–187. doi: 10.1212/WNL.62.2.181. [DOI] [PubMed] [Google Scholar]
- 15.Cummings JL, Mega M, Gray K, Rosenbergthompson S, Carusi DA, Gornbein J. The neuropsychiatric inventory. Neurology. 1994;12:2308. doi: 10.1212/WNL.44.12.2308. [DOI] [PubMed] [Google Scholar]
- 16.Goetz CG, Tilley BC, Shaftman SR, Stebbins GT, Fahn S, Martinez-Martin P, et al. Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov Disord. 2008;23(15):2129–2170. doi: 10.1002/mds.22340. [DOI] [PubMed] [Google Scholar]
- 17.Stiasny-Kolster K, Mayer G, Schäfer S, Möller JC, Heinzel-Gutenbrunner M, Oertel WH. The REM sleep behavior disorder screening questionnaire—a new diagnostic instrument. Mov Disord. 2007;22(16):2386–2393. doi: 10.1002/mds.21740. [DOI] [PubMed] [Google Scholar]
- 18.Sateia MJ. International classification of sleep disorders-third edition: highlights and modifications. Chest. 2014;146(5):1387–1394. doi: 10.1378/chest.14-0970. [DOI] [PubMed] [Google Scholar]
- 19.Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–198. doi: 10.1016/0022-3956(75)90026-6. [DOI] [PubMed] [Google Scholar]
- 20.Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. 2005;53(4):695–9. [DOI] [PubMed]
- 21.Eto F, M T, M C, M I, T M, H W, et al. Comprehensive activities of daily living (ADL) Index for the elderly. Nihon Ronen Igakkai Zasshi. 1992;29(11):841–8. [DOI] [PubMed]
- 22.Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993;43(11):2412–2414. doi: 10.1212/WNL.43.11.2412-a. [DOI] [PubMed] [Google Scholar]
- 23.Scheltens P, Leys D, Barkhof F, Huglo D, Weinstein HC, Vermersch P, et al. Atrophy of medial temporal lobes on MRI in "probable" Alzheimer's disease and normal ageing: diagnostic value and neuropsychological correlates. J Neurol Neurosurg Psychiatry. 1992;55(10):967–972. doi: 10.1136/jnnp.55.10.967. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol. 1987;149(2):351–356. doi: 10.2214/ajr.149.2.351. [DOI] [PubMed] [Google Scholar]
- 25.McKeith IG, Ferman TJ, Thomas AJ, Blanc F, Boeve BF, Fujishiro H, et al. Research criteria for the diagnosis of prodromal dementia with Lewy bodies. Neurology. 2020;94(17):743–755. doi: 10.1212/WNL.0000000000009323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Petersen RC. Clinical practice. Mild cognitive impairment. N Engl J Med. 2011;364(23):2227–2234. doi: 10.1056/NEJMcp0910237. [DOI] [PubMed] [Google Scholar]
- 27.Liu C, Liu S, Wang X, Ji Y. Neuropsychiatric profiles in mild cognitive impairment with Lewy bodies. Aging Ment Health. 2021;25(11):2011–2017. doi: 10.1080/13607863.2020.1817311. [DOI] [PubMed] [Google Scholar]
- 28.Emre M, Aarsland D, Brown R, Burn DJ, Duyckaerts C, Mizuno Y, et al. Clinical diagnostic criteria for dementia associated with Parkinson's disease. Mov Disord. 2007;22(12):1689–707 quiz 837. doi: 10.1002/mds.21507. [DOI] [PubMed] [Google Scholar]
- 29.Litvan I, Goldman JG, Tröster AI, Schmand BA, Weintraub D, Petersen RC, et al. Diagnostic criteria for mild cognitive impairment in Parkinson's disease: Movement Disorder Society Task Force guidelines. Mov Disord. 2012;27(3):349–356. doi: 10.1002/mds.24893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Liu S, Gan J, Hu W, Wang XD, Zhu H, Du X, et al. The clinical characteristics and subtypes of patients with cognitive impairment in memory clinic. J Clin Neurosci. 2020;82(Pt A):186–191. doi: 10.1016/j.jocn.2020.10.031. [DOI] [PubMed] [Google Scholar]
- 31.Chiu P-Y, Teng P-R, Wei C-Y, Wang C-W, Tsai C-T. Gender difference in the association and presentation of visual hallucinations in dementia with Lewy bodies: a cross-sectional study. 2018;33(1):193–9. [DOI] [PubMed]
- 32.Zhu B, Ye Y. Gender disparities in the education gradient in self-reported health across birth cohorts in China. BMC Public Health. 2020;20(1):375. doi: 10.1186/s12889-020-08520-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Barnes LL, Lamar M, Schneider JA. Sex differences in mixed neuropathologies in community-dwelling older adults. Brain Res. 2019;1719:11–16. doi: 10.1016/j.brainres.2019.05.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.van de Beek M, Babapour Mofrad R, van Steenoven I, Vanderstichele H, Scheltens P, Teunissen CE, et al. Sex-specific associations with cerebrospinal fluid biomarkers in dementia with Lewy bodies. Alzheimer's Res Therapy. 2020;12(1):44. doi: 10.1186/s13195-020-00610-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Utsumi K, Fukatsu R, Yamada R, Takamaru Y, Hara Y, Yasumura S. Characteristics of initial symptoms and symptoms at diagnosis in probable dementia with Lewy body disease: incidence of symptoms and gender differences. Psychogeriatrics. 2020;20(5):737–745. doi: 10.1111/psyg.12586. [DOI] [PubMed] [Google Scholar]
- 36.Bayram E, Coughlin DG, Banks SJ, Litvan I. Sex differences for phenotype in pathologically defined dementia with Lewy bodies. J Neurol Neurosurg Psychiatry. 2021;92(7):745–750. doi: 10.1136/jnnp-2020-325668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Oltra J, Uribe C, Campabadal A, Inguanzo A, Monté-Rubio GC, Martí MJ, et al. Sex differences in brain and cognition in de novo Parkinson's disease. Front Aging Neurosci. 2022;13:791532. doi: 10.3389/fnagi.2021.791532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Inagawa Y, Shimizu S, Takenoshita N, Tsugawa A, Hirose D, Kanbayashi T, et al. Association between cerebrospinal fluid Orexin A level and severity of rapid eye movement sleep behaviour disorder in dementia with Lewy bodies. Psychogeriatrics. 2021;21(1):128–130. doi: 10.1111/psyg.12618. [DOI] [PubMed] [Google Scholar]
- 39.Wang XT, Yu H, Liu FT, Zhang C, Ma YH, Wang J, et al. Associations of sleep disorders with cerebrospinal fluid α-synuclein in prodromal and early Parkinson's disease. J Neurol. 2022;269(5):2469–2478. doi: 10.1007/s00415-021-10812-2. [DOI] [PubMed] [Google Scholar]
- 40.Dolatshahi M, Pourmirbabaei S, Kamalian A, Ashraf-Ganjouei A, Yaseri M, Aarabi MH. Longitudinal alterations of alpha-synuclein, amyloid beta, total, and phosphorylated tau in cerebrospinal fluid and correlations between their changes in Parkinson's disease. Front Neurol. 2018;9:560. doi: 10.3389/fneur.2018.00560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.de Oliveira FF, Machado FC, Sampaio G, Marin SMC, Naffah-Mazzacoratti MDG, Bertolucci PHF. Neuropsychiatric feature profiles of patients with Lewy body dementia. Clin Neurol Neurosurg. 2020;194:105832. doi: 10.1016/j.clineuro.2020.105832. [DOI] [PubMed] [Google Scholar]
- 42.van de Beek M, van Steenoven I, van der Zande JJ, Barkhof F, Teunissen CE, van der Flier WM, et al. Prodromal dementia with Lewy bodies: clinical characterization and predictors of progression. Mov Disord. 2020;35(5):859–867. doi: 10.1002/mds.27997. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Donaghy PC, Ciafone J, Durcan R, Hamilton CA, Barker S, Lloyd J, et al. Mild cognitive impairment with Lewy bodies: neuropsychiatric supportive symptoms and cognitive profile. Psychol Med. 2020 doi: 10.1017/S0033291720002901. [DOI] [PubMed] [Google Scholar]
- 44.Lu Y, Sareddy GR, Wang J, Zhang Q, Tang FL, Pratap UP, et al. Neuron-derived estrogen is critical for astrocyte activation and neuroprotection of the ischemic brain. J Neurosci. 2020;40(38):7355–7374. doi: 10.1523/JNEUROSCI.0115-20.2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Fortress AM, Frick KM. Hippocampal Wnt signaling: memory regulation and hormone interactions. Neuroscientist. 2016;22(3):278–294. doi: 10.1177/1073858415574728. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Rettberg JR, Yao J, Brinton RD. Estrogen: a master regulator of bioenergetic systems in the brain and body. Front Neuroendocrinol. 2014;35(1):8–30. doi: 10.1016/j.yfrne.2013.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Imtiaz B, Tolppanen AM, Solomon A, Soininen H, Kivipelto M. Estradiol and cognition in the cardiovascular risk factors, aging and dementia (CAIDE) cohort study. J Alzheimer's Dis JAD. 2017;56(2):453–458. doi: 10.3233/JAD-160643. [DOI] [PubMed] [Google Scholar]
- 48.Yoon BK, Chin J, Kim JW, Shin MH, Ahn S, Lee DY, et al. Menopausal hormone therapy and mild cognitive impairment: a randomized, placebo-controlled trial. Menopause (New York, NY) 2018;25(8):870–876. doi: 10.1097/GME.0000000000001140. [DOI] [PubMed] [Google Scholar]
- 49.Hansen D, Ling H, Lashley T, Foley JA, Strand C, Eid TM, et al. Novel clinicopathological characteristics differentiate dementia with Lewy bodies from Parkinson's disease dementia. Neuropathol Appl Neurobiol. 2021;47(1):143–156. doi: 10.1111/nan.12648. [DOI] [PubMed] [Google Scholar]
- 50.Bargar C, Wang W, Gunzler SA, LeFevre A, Wang Z, Lerner AJ, et al. Streamlined alpha-synuclein RT-QuIC assay for various biospecimens in Parkinson's disease and dementia with Lewy bodies. Acta Neuropathol Commun. 2021;9(1):62. doi: 10.1186/s40478-021-01175-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
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This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.