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脑小血管病患者肌肉质量与运动功能的相关性分析OA北大核心CSTPCD

Correlation analysis of muscle mass and functional mobility in patients with cerebral small vessel disease

中文摘要英文摘要

目的 探讨脑小血管病(CSVD)患者肌肉质量与步态参数的相关性以及及肌肉质量减少对CSVD患者发生跌倒的影响.方法 本研究采取横断面设计.连续纳入2022年1月1日至2023年6月1日经解放军总医院第七医学中心神经内科确诊的95例CSVD住院患者.以男性标准化四肢骨骼肌质量(ASM)≤7.0kg/m2、女性ASM≤5.7kg/m2为肌肉质量减少,将95例CSVD患者分为肌肉质量减少组与肌肉质量正常组.记录患者的基线资料[性别、年龄、受教育年限、伴随疾病(高血压病、高脂血症、糖尿病、心绞痛、心肌梗死以及偏头痛)数量]、认知功能评估结果[简易精神状态检查(MMSE)、词语流畅性测验(VFT)、画钟测试(CDT)和连线测试B(TMT-B)]、步态特征[基础步态参数(步速、跨步时间、跨步长、步频)和再运算步态参数(步速、跨步时间、跨步长、步频的变异系数以及时相协调指数、步态不对称性指数)]、CSVD影像学表现(脑微出血、腔隙性脑梗死、脑白质高信号)、既往跌倒情况,对比分析肌肉质量减少组与肌肉质量正常组患者基线资料、认知功能评估结果、步态特征的差异.采用线性回归对肌肉质量及步态参数的相关性进行分析.将95例CSVD患者分为跌倒组与未跌倒组,对比分析组间基线资料、认知功能评估结果、步态特征、CSVD影像学表现、肌肉质量的差异,并采用二元Logistic回归分析评价肌肉质量减少对跌倒的影响.结果 (1)肌肉质量减少组患者以女性[67.7%(21/31)]为主,肌肉质量减少组与肌肉质量正常组性别分布的差异有统计学意义(x2=6.143,P=0.013),两组其余基线资料以及认知功能的差异均无统计学意义(均P>0.05).(2)与肌肉质量正常组相比,肌肉质量减少组患者步速更慢[(0.72±0.16)m/s 比(0.94±0.15)m/s]、跨步时间更长[(1.22±0.12)s 比(1.08±0.08)s]、跨步长更短[(0.84±0.19)m 比(1.00±0.14)m]、步频更低[(100±9)步/min 比(112±8)步/min],步速变异系数[11.579(8.163,15.870)%比 7.304(5.873,9.959)%]、跨步时间变异系数[3.876(2.778,5.769)%比2.480(1.874,3.001)%]、跨步长变异系数[7.800(5.400,10.700)%比 5.600(4.100,7.950)%]、步频变异系数[5.313(3.568,7.272)%比 3.674(3.099,5.082)%]、时相协调指数[5.894(4.392,9.080)%比3.828(3.031,5.972)%]均升高,差异均有统计学意义(均P<0.05),步态不对称性指数的组间差异无统计学意义(P>0.05);进一步将性别、腔隙性脑梗死作为潜在混杂因素进行分析,肌肉质量正常组与肌肉质量减少组间基础步态参数的差异均有统计学意义(均P<0.01),再运算步态参数中仅步速变异系数、跨步时间变异系数的组间差异有统计学意义(均P<0.05).(3)将ASM作为连续变量,将年龄、CDT作为潜在混杂因素,对男性和女性进行分层分析,结果显示,男性患者基础步态参数(步速、跨步时间、跨步长、步频的95%CI分别为0.057~0.152、-0.105~-0.023、0.013~0.097、1.686~8.854)、跨步时间变异系数(95%CI:-0.016~-0.003)和跨步长变异系数(95%CI:-0.026~-0.006)与肌肉质量减少均存在相关性(均P<0.05);女性患者步速(95%CI:0.034~0.166)及步速变异系数(95%CI:-0.059~-0.010)、跨步时间(95%CI:-0.110~-0.011)及跨步时间变异系数(95%CI:-0.025~-0.001)、跨步长(95%CI:0.018~0.163)与肌肉质量减少均存在相关性(均P<0.05).(4)肌肉质量减少是跌倒发生的独立危险因素(OR=5.044,95%CI:1.840~13.827,P=0.002).结论 本研究初步分析认为,CSVD患者肌肉质量与步态参数存在一定的相关性,且CSVD患者肌肉质量减少可能增加发生跌倒的风险,应重视CSVD患者肌肉质量的管理.

Objective To investigate the correlation between muscle mass and gait parameters in patients with cerebral small vessel disease(CSVD),as well as the impact of reduced muscle mass on the occurrence of falls in CSVD patients.Methods This study was employed a cross-sectional design.Ninety-five inpatients with CSVD confirmed by the Department of Neurology of the Seventh Medical Center of Chinese People's Liberation Army General Hospital from January 1,2022 to June 1,2023 were included consecutively.The 95 patients with CSVD were divided into two groups,namely the reduced muscle mass group and the normal muscle mass group,based on the criteria of appendicular skeletal muscle mass(ASM)≤7.0 kg/m2 for males and ASM ≤5.7 kg/m2 for females as reduced muscle mass.Baseline data(sex,age,years of schooling,number of accompanying diseases[hypertension,hyperlipidemia,diabetes,angina pectoris,myocardial infarction,and migraines]),cognitive function assessment results(mini-mental status examination[MMSE],verbal fluency test[VFT],clock drawing test[CDT],and trail-making test part-B[TMT-B]),gait characteristics(basic gait parameters[gait speed,stride time,stride length,stride frequency]and reanalysis gait parameters[variation coefficient of gait speed,stride time,stride length,stride frequency,and time-phase coordination index,gait asymmetry index]),CSVD imaging findings(cerebral microbleeds,lacunar infarcts,and white matter hyperintensities),and history of falls.The differences in baseline data,cognitive function assessment results,and gait characteristics between the reduced muscle mass group and the normal muscle mass group were compared and analyzed.Linear regression was used to analyze the correlation between muscle mass and gait parameters.The 95 CSVD patients were divided into fall group and non-fall group,and the differences in baseline data,cognitive function assessment results,gait characteristics,CSVD imaging findings,and muscle mass between the two groups were compared.Binary Logistic regression analysis was used to evaluate the impact of reduced muscle mass on falls.Results(1)The majority of patients in the reduced muscle mass group were females(67.7%[21/31]).There was a statistically significant difference in the sex distribution between the reduced muscle mass group and the normal muscle mass group(x2=6.143,P=0.013).There were no statistically significant differences in the other baseline characteristics and cognitive function between the two groups(all P>0.05).(2)Compared to the normal muscle mass group,patients in the reduced muscle mass group had slower gait speed([0.72±0.16]m/s vs.[0.94±0.15]m/s),longer stride time([1.22±0.12]s vs.[1.08±0.08]s),shorter stride length([0.84±0.19]m vs.[1.00±0.14]m),and lower step frequency([100±9]steps/min vs.[112±8]steps/min).The coefficients of variation for gait speed(11.579[8.163,15.870]%vs.7.304[5.873,9.959]%),stride time(3.876[2.778,5.769]%vs.2.480[1.874,3.001]%),stride length(7.800[5.400,10.700]%vs.5.600[4.100,7.950]%),step frequency(5.313[3.568,7.272]%vs.3.674[3.099,5.082]%),and time-phase coordination index(5.894[4.392,9.080]%vs.3.828[3.031,5.972]%)were all increased,and the differences were statistically significant(all P<0.05).There was no statistically significant difference in gait asymmetry index between the two groups(P>0.05).Further analysis with sex and lacunar infarction as potential confounding factors showed that there were statistically significant differences in baseline gait parameters between the normal muscle mass group and the reduced muscle mass group(all P<0.01).In the reanalysis of gait parameters,only the differences in the coefficients of variation for gait speed and stride time were statistically significant(both P<0.05).(3)When analyzing ASM as a continuous variable,age and CDT as potential confounders,and stratifying by sex,the results showed that in male patients,baseline gait parameters(gait speed,stride time,stride length,and step frequency with 95%CI ranging from 0.057 to 0.152,-0.105 to-0.023,0.013 to 0.097,and 1.686 to 8.854,respectively),as well as coefficients of variation for stride time(95%CI-0.016 to-0.003)and stride length(95%CI-0.026 to-0.006),were correlated with muscle mass reduction(all P<0.05).In female patients,gait speed(95%CI0.034 to 0.166)and coefficient of variation for gait speed(95%CI-0.059 to-0.010),stride time(95%CI-0.110 to-0.011),coefficient of variation for stride time(95%CI-0.025 to-0.001),and stride length(95%CI 0.018 to 0.163)were correlated with muscle mass reduction(all P<0.05).(4)Muscle mass reduction was an independent risk factor for falls(OR,5.044,95%CI 1.840 to 13.827,P=0.002).Conclusions The preliminary analysis of this study suggests that there is a certain correlation between muscle mass and gait parameters in patients with CSVD.Additionally,the study indicates that a decrease in muscle mass among CSVD patients may increase the risk of falls.Therefore,it is important to prioritize the management of muscle mass in CSVD patients.

谢鸿阳;夏翠俏;夏振西;张楠;沈洁;赵弘轶;黄勇华

100700 北京,解放军总医院第七医学中心神经内科

脑小血管病身体成分肌肉质量步态变异度

Cerebral small vessel diseaseBody compositionMuscle massGaitCoefficient of variation

《中国脑血管病杂志》 2024 (008)

514-524 / 11

吴阶平医学基金会临床科研专项资助基金(320.6750.18456)

10.3969/j.issn.1672-5921.2024.08.002

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