Wang Tiantian, Xu Jiahui, Xu Qinglin, Zhao Rui, Pan Liuqing, Zhu Danyan, Pan Yu, Chen Lehui, Lou Guodong, Xu Xiaoye, Wang Jin, Zhang Lisan
Department of Pharmacy, Xiasha Campus, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Department of Neurology/Center for Sleep Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Nat Sci Sleep. 2022 Oct 13;14:1829-1842. doi: 10.2147/NSS.S378970. eCollection 2022.
This study investigated the associations of peripheral iron status with different manifestations of restless legs syndrome (RLS), including leg movements (LMs) on polysomnography (PSG), disease severity, and impact on patients.
In this cross-sectional study, 108 patients with RLS were enrolled at Sir Run Run Shaw Hospital's Center for Sleep Medicine. Demographic information, disease characteristics, RLS severity, and impact on patients were assessed through a semi-structured questionnaire. Peripheral iron indicators [serum ferritin, iron, and transferrin concentrations; unsaturated iron-binding capacity (UIBC) and total iron-binding capacity (TIBC); transferrin saturation (TSAT)] were measured following PSG to assess sleep stages, respiratory events, microarousals and LM parameters. Data from patients with and without ferritin concentration < 50 µg/L were compared in crude analyses, and Spearman correlations of other iron indicators with RLS data were examined. An ordinal logistic regression model was used to adjust for age, sex, body mass index, years of education, age at the time of RLS onset, prior treatment (yes/no), C-reactive protein (CRP)/hemoglobin level, total sleep time and apnea-hypopnea index.
Multivariate analysis showed that periodic LMs during sleep (PLMS) and other LM parameters were significantly associated with a ferritin concentration < 50 µg/L, UIBC, TIBC, and serum transferrin concentration, but not serum iron or TSAT. By contrast, the severity and impact of RLS were not associated with a ferritin concentration < 50 µg/L or other peripheral iron indicators in the multivariate model.
In this study, peripheral iron status was associated mainly with motor components (LMs on PSG) rather than sensory components (severity and impact of RLS) after adequately controlling for potential confounders, such as CRP and hemoglobin levels. Commonly used peripheral iron metabolism indicators may therefore not be ideal biomarkers of RLS severity or impact on patients.
本研究调查外周铁状态与不安腿综合征(RLS)不同表现之间的关联,包括多导睡眠图(PSG)上的腿部运动(LMs)、疾病严重程度以及对患者的影响。
在这项横断面研究中,108例RLS患者在邵逸夫医院睡眠医学中心入组。通过半结构化问卷评估人口统计学信息、疾病特征、RLS严重程度以及对患者的影响。在PSG检查后测量外周铁指标[血清铁蛋白、铁和转铁蛋白浓度;不饱和铁结合能力(UIBC)和总铁结合能力(TIBC);转铁蛋白饱和度(TSAT)],以评估睡眠阶段、呼吸事件、微觉醒和LM参数。在粗分析中比较铁蛋白浓度<50μg/L和未<50μg/L患者的数据,并检验其他铁指标与RLS数据的Spearman相关性。使用有序逻辑回归模型对年龄、性别、体重指数、受教育年限、RLS发病时的年龄、既往治疗(是/否)、C反应蛋白(CRP)/血红蛋白水平、总睡眠时间和呼吸暂停低通气指数进行校正。
多变量分析显示,睡眠期周期性腿部运动(PLMS)和其他LM参数与铁蛋白浓度<50μg/L、UIBC、TIBC和血清转铁蛋白浓度显著相关,但与血清铁或TSAT无关。相比之下,在多变量模型中,RLS的严重程度和影响与铁蛋白浓度<50μg/L或其他外周铁指标无关。
在本研究中,在充分控制潜在混杂因素(如CRP和血红蛋白水平)后,外周铁状态主要与运动成分(PSG上的LMs)相关,而非感觉成分(RLS的严重程度和影响)。因此,常用的外周铁代谢指标可能不是RLS严重程度或对患者影响的理想生物标志物。