AUTHOR=Xu Rongpeng , Miao Liying , Ni Jiayuan , Ding Yuan , Song Yuwei , Yang Chun , Zhu Bin , Jiang Riyue 

TITLE=Risk factors and prediction model of sleep disturbance in patients with maintenance hemodialysis: A single center study

JOURNAL=Frontiers in Neurology

VOLUME=13

YEAR=2022

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2022.955352

DOI=10.3389/fneur.2022.955352

ISSN=1664-2295

ABSTRACT=<sec><title>Objectives</title><p>This study aimed to explore the risk factors and develop a prediction model of sleep disturbance in maintenance hemodialysis (MHD) patients.</p></sec><sec><title>Methods</title><p>In this study, 193 MHD patients were enrolled and sleep quality was assessed by Pittsburgh Sleep Quality Index. Binary logistic regression analysis was used to explore the risk factors for sleep disturbance in MHD patients, including demographic, clinical and laboratory parameters, and that a prediction model was developed on the basis of risk factors by two-way stepwise regression. The final prediction model is displayed by nomogram and verified internally by bootstrap resampling procedure.</p></sec><sec><title>Results</title><p>The prevalence of sleep disturbance and severe sleep disturbance in MHD patients was 63.73 and 26.42%, respectively. Independent risk factors for sleep disturbance in MHD patients included higher 0.1<sup>*</sup>age (OR = 1.476, 95% <italic>CI</italic>: 1.103–1.975, <italic>P</italic> = 0.009), lower albumin (OR = 0.863, 95% <italic>CI</italic>: 0.771–0.965, <italic>P</italic> = 0.010), and lower 10<sup>*</sup>calcium levels (OR = 0.747, 95% <italic>CI</italic>: 0.615–0.907, <italic>P</italic> = 0.003). In addition, higher 0.1<sup>*</sup>age, lower albumin levels, and anxiety were independently associated with severe sleep disturbance in MHD patients. A risk prediction model of sleep disturbance in MHD patients showed that the concordance index after calibration is 0.736, and the calibration curve is approximately distributed along the reference line.</p></sec><sec><title>Conclusions</title><p>Older age, lower albumin and calcium levels are higher risk factors of sleep disturbance in MHD, and the prediction model for the assessment of sleep disturbance in MHD patients has excellent discrimination and calibration.</p></sec>