Detection of underlying dementia in bullous pemphigoid patients using cognitive evaluation tests: a multicenter case-control study
Introduction
Bullous pemphigoid (BP) is an autoimmune skin disease more commonly found in the elderly (1). We and others have revealed that patients with BP are more likely to develop neurological diseases (ND), including cerebrovascular diseases, Parkinson’s disease, and multiple sclerosis (2). ND can progress silently without being noticed by patients, their relatives, or even medical professionals for many years. Interestingly, dermatologists are often the first to realize the neurological abnormality in BP patients (1-4).
It has been previously reported that several ND with inflammation or degeneration in the central nervous system were related to BP (5). Recently, we have shown that a significantly high level of BP antibodies could be detected in patients with stroke (6). Although the mechanism linking BP to ND is largely unclear, the current hypothesis is that damage of the brain tissue leads to exposure of BP antigen 1 (BPAG1 or BP230) and BP antigen 2 (BPAG2 or BP180) to the immune system and production of anti-BP180 antibodies that may cause blister formation at the basement membrane (7,8). Several lines of evidence have also suggested that the antigens in the central nervous system start to be exposed to the immune system because of the gradual dysfunction of the blood-brain barrier during aging (9,10). In brains of aged mice, BP180 appeared highly expressed in the hippocampal area, which is one of the most common lesional locations of Alzheimer's disease (AD) (9), a hallmark ND with dementia in the elderly.
Neurocognitive impairment, including mild cognitive impairment (MCI) and dementia, is commonly found in a variety of ND (11,12). MCI is widely viewed as the intermediate phase, from normal cognition to dementia. MCI may further progress to dementia (13), with a progression rate of approximately 5–15% per year (14). Although up to 38% of MCI patients might revert to normal cognition, as high as 65% of them eventually developed MCI or dementia (15), suggesting the importance of early evaluation and management of MCI.
To date, only a few studies have explored the potential correlation between BP and dementia (16,17), and BP complicated with dementia could imply a much higher risk of relapse, which potentially leads to an even worse prognosis for BP (18). To quantitatively determine the neurocognitive function in BP, we screened the patients using two cognitive function instruments including mini-mental state examination (MMSE) and montreal cognitive assessment (MoCA).
We present the following article in accordance with the STROBE reporting checklist (available at http://dx.doi.org/10.21037/atm-20-1319).
Methods
Patients
Our study is a multicenter case-controlled study with all subjects that were recruited from 3 hospitals in China between 2014 and 2019 (Peking Union Medical Hospital, Institute of Dermatology, West China Hospital). After screening with the following inclusion and exclusion criteria, a total of 61 patients with BP and 65 controls matched in age, gender, and education were included in the study. The diagnosis of BP was made according to the British Association of Dermatologists’ guidelines for the management of BP (19) and confirmed by an experienced dermatologist according to the following inclusion criteria: (I) typical clinical manifestation (tense papules or blisters on erythema); (II) pathology features (subepidermal blister); (III) positive direct/indirect immunofluorescence (DIF/IIF) and anti-BP180/BP230 antibodies in freshly collected serum by Enzyme-Linked Immunosorbent Assay (ELISA). The BP180 and BP230 ELISA kit (MESACUP BP180 TEST, CODE No. 7695E; MESACUPBP230, CODE No. 7613E) were purchased from Medical & Biological Laboratories CO. LTD. Exclusion criteria for both groups if the patients with (I) an ambiguous diagnosis of BP; (II) mental disorders such as schizophrenia; (III) disorders of consciousness like delirium; (IV) inability to cooperate because of deafness, blindness or other somatic diseases; (V) a Hamilton Depression Scale (HAMD-17) score greater than 17 to exclude depression-related cognitive dysfunction (20); (VI) other cognitive disorders, such as syphilis infection, vitamin B12 deficiency, and thyroid dysfunction; (VII) refusal to participate or continue the evaluation; (VIII) a history of medication affecting cognition.
This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the institutional research ethics committee of Peking Union Medical College Hospital (S-K265), and informed consent was obtained from all the patients.
Cognition assessment
The MMSE and MoCA are screening tests for cognitive impairment recommended by the Dementia and Cognitive Society of Neurology Committee in the Chinese Medical Association and Alzheimer’s Disease. Both tests and neurological physical examinations (with medical record reviews) were performed by dermatologists trained by neurologists. Subjects screened positive on either assessment were considered to have neurocognitive impairment and referred to neurologists for further evaluations. Both the raters and the neurologists were blinded to the patients’ groups.
MMSE
MMSE is the most widely used screening test for cognitive impairment, which includes evaluations in 7 domains: orientation, memory, attention, calculation, language, executive function, and visual spatial ability with a total score of 30. A higher score indicates better cognitive function. The revised Chinese version of the MMSE was used for this study. Cut-offs for screening positive are set according to educational level: ≤17 points for illiterate, 20 points for primary education, and 24 points for high school or higher education (21). If the result is below the threshold, it means the patient has cognitive impairment.
MoCA
The MoCA scale covers evaluations in 8 domains: attention, executive function, memory, language skills, spatial structure, abstract thinking, calculation, and orientation. The cut-off for screening impairment in the revised Chinese version of MoCA is equal or lower than 26, with an additional 1 point for those whose educational level is equal to or lower than 12 years (22). If the result is below the threshold, it means the patient has cognitive impairment.
Statistical analysis
Data management and analyses were performed using the IBM SPSS statistics 20.0 software. The enumeration data were described with frequency (proportion). The Chi-square test was used to compare the difference between the two groups. The quantitative data were described using mean (standard deviation) or median (quantiles) for normal or abnormal distribution, respectively. A non-parametric test (Mann-Whitney U) was used to compare the difference between the two groups for normal or abnormal distributed quantitative data. The associations between BP as a dependent variable (yes or no) and independent variables including gender (male or female), age (≥70 years or <70 years), whether combined with ND and screening test results (positive or negative, dichotomous variables), were evaluated using logistic regression. In the multivariate analysis logistic regression model, the associations between BP as a dependent variable (yes or no) and independent variables including screening test results (positive or negative), adjusted for gender (male or female), age (≥70 years or <70 years) and ND history were determined. The associations between screening test scores as the dependent variable (scores, continuous variable) and anti-BP180 antibody levels, anti-BP230 antibody levels and IIF titers as the independent variables (examined before treatment, continuous variable) were evaluated by Spearman’s Correlation, stratified by age (continuous variable), gender (male or female), and ND history. The statistical significance level was set to P<0.05.
Results
Basic characteristics and neurological assessment in BP and control groups
A total of 61 patients with BP completed the cognitive screening test and entered the final analysis (Figure 1), together with 65 matched controls. There was no significant difference between the two groups in gender, age, or years of education (P=0.95, 0.074, and 0.741, respectively) (Table 1). The BP group demonstrated a significantly higher percentage of ND (14/61, 23%) than the control group (4/65, 6%, P<0.001). The percentage of BP patients who were screened positive by MMSE and MoCA was higher than that of the control group (MMSE: 17 vs. 3, 28% vs. 5%, P<0.001; MoCA: 54 vs. 42, 89% vs. 65%, P<0.001). The overall MoCA score of BP patients (adjusted by education years) was significantly lower than that of the control group (19 vs. 24, P<0.001). In cognitive domain evaluations, the BP group and control group had remarkable differences in all domains except memory. In the memory domain, a significant difference was found by the MoCA (P<0.001) but not the MMSE scale (P=0.138). The score of BP patients in the HAMD-17 test was significantly higher than the control group {median [(25% interquartile range (IQR)], 5 (IQR 2) vs. 3 (IQR 1), P=0.039} even within subjects whose HAMD-17 score was below 17.
Full table
The association between BP and MMSE/MoCA screening results
On multivariate analysis, after adjustment for age, gender and presence of ND, BP patients had a significantly higher risk of cognitive impairment than controls, by either MMSE [odds ratio (OR) 6.38, 95% CI: 1.39–29.32 or MoCA (OR 3.78,, 95% CI: 1.44–9.96] (Table 2). BP was associated with positive screening results (PMMSE=0.017, PMoCA=0.007). When compared BP patients with ND and control patients with ND, even when both groups had matched in ND, BP patients had significantly lower cognitive scores in both MMSE and MoCA (PMMSE=0.047, PMoCA=0.055) (Figure 2). As for subjects without ND, BP without ND had a significantly lower score than Control without ND on MoCA test (PMoCA<0.001) (Figure 2B). This suggests BP might be an independent risk factor for cognitive impairment, particularly MCI, regardless of ND.
Full table
The association between MMSE/MoCA scores and anti-BP180 antibody level/anti-BP230 antibody level/IIF titer
The associations between the MMSE/MoCA scores and anti BP180/230 antibody levels or IIF titers (before treatment) were evaluated in BP patients. We found that the MMSE score and MoCA score are negatively related with IIF titer (rMMSE=−0.452, PMMSE=0.004; rMoCA=−0.488, PMoCA=0.002). There was no significant correlation between these screening test scores and anti-BP180/230 antibody levels. Further analysis based on age, gender and neurological history (Table 3) revealed that MMSE and MoCA scores were negatively correlated with IIF titers when patients were younger (<70 years) (PMMSE=0.001, PMoCA=0.019), female (PMMES=0.004, PMoCA=0.001) or without ND (PMMSE=0.004, PMoCA=0.007). The MMSE score was negatively related to IIF titers in male patients (P=0.024). The MoCA score was negatively related to IIF titer in patients with ND history (P=0.036). The MMSE and MoCA scores were negatively related to anti-BP180 IgG antibody in patients without ND history (PMMSE=0.026, PMoCA=0.012).
Full table
A total of 38 subjects with BP and screened positive for cognitive impairment were initially recommended to refer to the Department of Neurology for further examinations, including detailed neuropsychological battery, ApoE genotype, electroencephalogram and head CT/MRI scan. 12 patients were excluded due to a prior history of ND diagnosis by neurologists. Of the 8 patients who have no history of ND and were eventually referred to the neurologists by us, 4 patients were diagnosed with MCI, 3 patients with AD, and one with normal. Therapies including cholinesterase inhibitors were prescribed for AD patients.
Discussion
To our knowledge, this is a novel multicenter retrospective case-control study aimed to quantitatively determine cognitive impairment and dementia in BP patients. In accordance with previous findings (10), we found that the percentage of BP patients with ND as a combination was significantly higher than that in controls. To better estimate the risk of cognitive impairment in BP, we applied both MMSE and MoCA to define the cognitive status in all control and BP patients. Remarkably, we found neurocognitive impairment could be identified in up to 28% for MMSE and 89% for MoCA of BP patients (Table 1).
Notably, marked differences could be observed in sub-domains between MoCA and MMSE when we compared the BP and control groups (Table 1). In “memory” sections, the MoCA scale study showed a significant difference between the groups while the MMSE scale did not. This might be due to the difference in scale design between MMSE and MoCA. Studies have shown that the MMSE scale can effectively screen dementia patients, but has a limited role in differentiating healthy subjects from mild cognitive impairment patients (23,24). MoCA scale tends to have higher sensitivity for the diagnosis of MCI (25-28), which explained the difference between the MMSE scores and MoCA scores (Table 1).
Besides, despite of the difference in screening sensitivity between the two instruments, we found that patients with BP appeared to have significantly higher risk of positive screening results for cognitive impairment, either MCI or dementia (Table 2), suggesting BP may impair the cognitive function in patients by targeting various areas in the brain by the BP autoantibodies.
Next, we compared the neurocognitive scores from either MMSE or MoCA. We found the overall score in the BP group was significantly lower than the control group. Because a high percentage of BP patients have ND that could significantly decrease the cognitive function (29), we also compared the scores of patients with or without ND. In control groups without BP, there was no statistically significant difference in cognitive scores between groups with and without ND (Figure 2). Intriguingly, we found that BP patients with ND had significantly lower scores than those with BP alone, indicating that ND could further impair the cognitive function. To further test the possibility that reduction of cognitive function in BP might be excluded due to ND, the scores of BP without ND group and Control without ND group were compared, a significantly lower cognitive score by MoCA in the BP group suggests BP may cause neurocognitive dysfunction without preexisting ND. There was also a slight but noticeable decrease in the cognitive score by MMSE, albeit with no statistical significance, which might be explained by the relatively lower screening sensitivity of MMSE when compared to MoCA (30). Altogether, these data suggest that BP might be related to cognitive impairment independent of ND. This notion was further supported by the fact that a markedly high ratio of patients (7/8), who were screened with positive cognitive impairment and referred to the neurologists after being excluded from any existing ND, were verified to have neurocognitive dysfunctions. These included 3 patients with AD and 4 patients with MCI, who were immediately managed and closely followed by the neurologists.
Although our statistical analysis showed no significant correlation between anti-BP180/230 ELISA value and the cognitive function, which was consistent with previous studies showing BP180/230 ELISA value not related to BP with or without ND (31), the IIF titer was found to be negatively correlated with MMSE/MoCA score. It is probably because the commercially available ELISA test kit can only detect autoantibodies that bind to the epitopes located in the BP180 NC16A region, while sera from a subset of ELISA-negative BP patients might contain the antibodies reacting only with epitopes outside the NC16A domain (32). While age and ND are known risk factors for cognitive impairment (23,24), the role of gender is unknown. We found that the IIF titers in female patients were negatively correlated with the MMSE/MoCA scores. Besides, the median MMSE/MoCA scores of female patients were lower than male patients, although this difference was not statistically significant (PMMSE=0.488, PMoCA=0.103).
Given that the onset of dementia in BP is relatively insidious, it is often overlooked in clinical practice. Dementia in BP may start with MCI that may have a high risk of developing into dementia (13). Diagnosis of dementia has stringent and complicated criteria such as that of the International Classification of Diseases tenth version or the Diagnostic and Statistical Manual fourth version. A comprehensive classification of dementia requires multiple evaluations, including cognitive function and brain imaging tests. The MMSE and MoCA tests are simple and feasible for use in clinical practice, by which we may decide whether we should refer BP patients to neurologists. Patients with early detection of cognitive impairment and even dementia have been reported to be more effectively treated and thus could improve the quality of life (33).
This is a multicenter trial study, albeit with relatively small sample size. Also, the retrospective nature of the current work could lead to a biased interpretation of the data. In the future study, a group of patients with a larger sample size with a prospective design might be necessary to validate how these screening tests that may result in early diagnosis. Our results indicate that early medical interventions based on early neurocognitive screening could improve the life quality and affect the life span of patients with BP.
Conclusions
Our study has demonstrated that BP patients have a high risk of cognitive dysfunction and that dermatologists consider applying the MMSE or MoCA scales for BP patients, who should be referred to neurologists if the screening tests are positive. Even for BP patients without ND, they may have MCI or subclinical ND that warrant further evaluation. Also, within the groups of patients with ND, BP with ND had lower cognitive scores with the matched group with ND, which suggests that BP may be an independent risk factor for cognitive impairment with or without ND. Although future studies with a larger sample size might be necessary to confirm our results, our data from a multi-centric study suggest that a simple yet effective neuropsychological screening test such as MMSE and MoCA can be valuable in helping improve the overall life quality for BP patients who have a chronic disease course.
Acknowledgments
Funding: This work was supported by the National Natural Science Foundation of China (No. 81972945, to L Li); the Milstein Medical Asian American Partnership Foundation (2017 Dermatology to L Li); the National Key Research and Development Program of China Grant (No. 2016YFC0901500, L Li); the Education Reform Projects of Peking Union Medical College (No. 2016zlgc0106, to L Li); the Funds of Shunyi District for Health Improvement and Research (No. Wsjkfzkyzx-2019-y-07, to W Zhao).
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at http://dx.doi.org/10.21037/atm-20-1319
Data Sharing Statement: Available at http://dx.doi.org/10.21037/atm-20-1319
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/atm-20-1319). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the institutional research ethics committee of Peking Union Medical College Hospital (S-K265), and informed consent was obtained from all the patients.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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