AIM:To investigate whether an association exists between sleep-associated movement disorders and cardiovascular disease(CVD).METHODS:Several studies have observed the relationship of sleep-associated movement disorder...AIM:To investigate whether an association exists between sleep-associated movement disorders and cardiovascular disease(CVD).METHODS:Several studies have observed the relationship of sleep-associated movement disorders such as restless legs syndrome(RLS)and periodic limb movements during sleep with CVD,but the results were still contradictory.We performed an extensive literature search on Pub Med,Medline and Web of Science published from inception to December 2014.Additional studies were manually searched from bibliographies of retrieved studies.Meta-analyses were conducted with Stata version 12.0(Stata Corp,College Station,Texas).Pooled odds ratios(ORs)and 95%CIs were calculated to assess the strength of association using the random effects model.Sensitivity and subgroup analyses were performed to explore the underlying sources of heterogeneity.The publication bias was detected using Egger’s test and Begg’s test.RESULTS:A total of 781 unique citations were indentified from electronic databases and 13 articles in English were finally selected.Among these studies,nine are cohort studies;two are case-control studies;and two are cross-sectional studies.The results showed that the summary OR of CVD associated with sleepassociated movement was 1.51(95%CI:1.29-1.77)in a random-effects model.There was significant heterogeneity between individual studies(P for heterogeneity=0.005,I2=57.6%).Further analysis revealed that a large-scale cohort study may account for this heterogeneity.A significant association was also found between RLS and CVD(OR=1.54,95%CI:1.24-1.92).In a fixed-effects model,we determined a significant relationship between sleep-associatedmovement disorders and coronary artery disease(CAD)(OR=1.34,95%CI:1.16-1.54;P for heterogeneity=0.210;I2=30.0%).Our meta-analysis suggests that sleep-associated movement disorders are associated with prevalence of CVD and CAD.CONCLUSION:This finding indicates that sleep-associated movement disorders may prove to be predictive of underlying CVD.展开更多
文摘目的初步分析伴睡眠中周期性肢体运动(PLMS)的急性脑梗死患者的临床特征。方法连续纳入2016年2月至2018年6月苏州大学附属第二医院神经内科急性脑梗死住院患者170例进行前瞻性分析,其中男102例(60.0%),女68例(40.0%)。根据周期性肢体运动指数(PLMI),将170例急性脑梗死患者分为无PLMS组(PLMI<5次/h)和PLMS组(PLMI≥5次/h)。在脑梗死发病14 d内行体动记录仪监测和头部MR检查。记录两组患者基线美国国立卫生研究院卒中量表(NIHSS)评分、既往病史(包括高血压病、糖尿病、心房颤动、冠心病、高脂血症)、吸烟史、脑梗死分型[牛津郡社区卒中计划(OCSP)卒中分型]、生化指标(糖化血红蛋白、肌酐、同型半胱氨酸、总胆固醇、低密度脂蛋白)、睡眠参数,并进行组间比较。应用改良Rankin量表(mRS)评分评估脑梗死患者发病3、6、12个月的神经功能恢复情况,应用Barthel指数评估急性脑梗死患者发病12个月的日常生活自理能力,并进行组间比较。以PLMI≥5次/h定义为PLMS。结果 (1)急性脑梗死患者中合并PLMS的比例为61.2%(104/170)。无PLMS组既往卒中史比例低于PLMS组,组间差异有统计学意义[24.2%(16/66)比39.4%(41/104),χ~2=3.866,P=0.049];年龄、性别、吸烟史、高血压病、糖尿病、心房颤动、NIHSS评分的组间差异均无统计学意义(均P>0.05)。(2)无PLMS组中,部分前循环梗死比例最高(34.8%,23/66),完全前循环梗死比例最低(10.6%,7/66);PLMS组中,腔隙性梗死比例最高(36.5%,38/104),完全前循环梗死比例最低(8.7%,9/104)。两组OCSP卒中分型的差异有统计学意义(χ~2=12.528,P=0.006),两组空腹血糖、糖化血红蛋白、肌酐、同型半胱氨酸、总胆固醇、低密度脂蛋白水平的差异均无统计学意义(均P>0.05)。(3)无PLMS组觉醒比例、觉醒时间、觉醒次数均低于PLMS组,组间差异均有统计学意义[6.0(3.0,8.0)比12.0(7.0,19.0)、3.0(1.5,4.2) min比4.4(3.0,6.0) m
基金Supported by The National Natural Science Foundation of China,Nos.81470456 and 81170160The priority Academic Program Development of Jiangsu Higher Education Institutions
文摘AIM:To investigate whether an association exists between sleep-associated movement disorders and cardiovascular disease(CVD).METHODS:Several studies have observed the relationship of sleep-associated movement disorders such as restless legs syndrome(RLS)and periodic limb movements during sleep with CVD,but the results were still contradictory.We performed an extensive literature search on Pub Med,Medline and Web of Science published from inception to December 2014.Additional studies were manually searched from bibliographies of retrieved studies.Meta-analyses were conducted with Stata version 12.0(Stata Corp,College Station,Texas).Pooled odds ratios(ORs)and 95%CIs were calculated to assess the strength of association using the random effects model.Sensitivity and subgroup analyses were performed to explore the underlying sources of heterogeneity.The publication bias was detected using Egger’s test and Begg’s test.RESULTS:A total of 781 unique citations were indentified from electronic databases and 13 articles in English were finally selected.Among these studies,nine are cohort studies;two are case-control studies;and two are cross-sectional studies.The results showed that the summary OR of CVD associated with sleepassociated movement was 1.51(95%CI:1.29-1.77)in a random-effects model.There was significant heterogeneity between individual studies(P for heterogeneity=0.005,I2=57.6%).Further analysis revealed that a large-scale cohort study may account for this heterogeneity.A significant association was also found between RLS and CVD(OR=1.54,95%CI:1.24-1.92).In a fixed-effects model,we determined a significant relationship between sleep-associatedmovement disorders and coronary artery disease(CAD)(OR=1.34,95%CI:1.16-1.54;P for heterogeneity=0.210;I2=30.0%).Our meta-analysis suggests that sleep-associated movement disorders are associated with prevalence of CVD and CAD.CONCLUSION:This finding indicates that sleep-associated movement disorders may prove to be predictive of underlying CVD.
