Clinical analysis of cognitive dysfunction and its influencing factors in patients with multisystem atrophy
10.3760/cma.j.issn.0254-9026.2022.10.004
- VernacularTitle:多系统萎缩患者认知功能障碍及影响因素分析
- Author:
Li LIU
1
;
Jinxin SHI
;
Xiaoling CHENG
;
Jingjing LI
;
Hui ZHAO
;
Lixia LI
;
Wei ZHANG
Author Information
1. 首都医科大学附属北京天坛医院综合内科，北京 100070
- Keywords:
Multiple system atrophy;
Cognitive impairment;
Risk factors
- From:
Chinese Journal of Geriatrics
2022;41(10):1150-1156
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the cognitive dysfunction and its influencing factors in patients with multisystem atrophy(MSA).Methods:A total of 143 hospitalized patients with MSA in our hospital from January 2015 to January 2020 were selected as the research objects.The cognitive function was evaluated by Mini-Mental State Examination(MMSE)and Montreal Cognitive Assessment(MoCA)scales, meanwhile, the influencing factors of cognitive function were analyzed.Results:The average score of MMSE scale of 143 MSA patients ranged from 9 to 30 points, and the MMSE test identified 86 patients(60.1%)with cognitive impairment, including 58 cases(40.6%)with mild cognitive impairment, 27 cases(18.9%)with moderate cognitive impairment and 1 case(0.7%)with severe cognitive impairment.The average score of MoCA scale of 143 MSA patients ranged from 5 to 30 points, among which 111 cases(77.6%)had cognitive impairment, including 69 cases with mild cognitive impairment(48.3%), 35 cases with moderate cognitive impairment(24.5%)and 7 cases with severe cognitive impairment(4.9%). Both the total scores of MMSE and MoCA scores of MSA patients were not correlated with age of onset, old age, gender, disease duration, type of MSA(MSA-C), orthostatic hypotension(OH), urinary retention, positivity of anal sphincter electromyography(ASEMG), triglyceride(TG), total cholesterol(TC), high density lipoprotein cholesterol(HDL-C), low density lipoprotein cholesterol(LDL-C), fasting blood glucose and glycosylated hemoglobin, serum uric acid and residual urine volume(all P>0.05). Logistic regression analysis showed that fasting blood glucose was a risk factor for cognitive impairment identified by MMSE( OR=2.224, 95% CI: 1.108-4.462, P=0.024); MSA-C( OR=3.905, 95% CI: 1.302-11.713, P=0.015)and TG( OR=3.494, 95% CI: 1.061-11.501, P=0.040)were risk factors for cognitive impairment identified by MoCA.There were no significant differences in above clinical characteristics between moderate to severe cognitive impairment patients and mild cognitive impairment patients identified by MMSE scale( P>0.05). Similarly, there were no significant differences in the above clinical characteristics between moderate to severe cognitive impairment patients and mild cognitive impairment patients by MoCA scale( P>0.05). Logistic regression analysis showed that TG was a risk factor for moderate to severe cognitive impairment identified by MMSE( OR=17.624, 95% CI: 2.596-119.669, P=0.003), while TC was a protective factor( OR=0.006, 95% CI: 0.000-0.714, P=0.036). Logistic regression analysis did not find the influencing factors of moderate to severe cognitive impairment as suggested by MoCA score. Conclusions:There is a high incidence of cognitive impairment in MSA patients.The type of MSA(MSA-C), blood glucose and blood lipid may be influence factors of cognitive impairment in MSA patients.Age of onset, old age, gender, disease duration, autonomic dysfunction, and uric acid have no significant correlation with cognitive impairment of MSA.
