ORIGINAL RESEARCH article
Front. Neurol.
Sec. Sleep Disorders
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1562949
A nomogram for predicting poor sleep quality in patients with systemic lupus erythematosus
Provisionally accepted
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
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To construct a nomogram for poor sleep quality in patients with systemic lupus erythematosus (SLE).Methods: Clinical data from 218 SLE patients who visited a tertiary hospital's rheumatology and immunology department in Chengdu, Sichuan Province, China, between 2021 and 2022 were analyzed. least absolute shrinkage and selection operator (LASSO) analysis and multivariate logistic regression were used to identify independent risk factors, and a nomogram was used to integrate and model the various risk factors. The model was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). Internal validation was conducted using the bootstrap method, and the clinical impact curve (CIC) was used to assess the clinical effectiveness of the predictive model.In total, 104 patients (47.7%) had poor sleep quality, while 114 patients did not have poor sleep quality (52.3%). The nomogram for predicting poor sleep quality in patients had an area under the curve of 0.789, a sensitivity of 51.92%, and a specificity of 93.86%. The calibration curve closely approximated the ideal curve; DCA showed a threshold probability of 35%; the concordance index (C-index) was 0.789; and the CIC showed a threshold probability of 60%. These results indicate that the nomogram has good predictive accuracy and clinical utility.We constructed and validated a nomogram for poor sleep quality in patients with SLE, providing a convenient and reliable tool for the clinical prediction of poor sleep quality in these patients. Further multicenter studies are warranted to validate these findings and further elucidate the underlying mechanisms of sleep disturbances in SLE.
Keywords: systemic lupus erythematosus, Poor sleep quality, Risk prediction model, Clinical Prediction, nomogram
Received: 13 Feb 2025; Accepted: 23 Apr 2025.
Copyright: © 2025 Ma, Li, Guo, Wang, Wu and Tan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Chun Yu Tan, Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
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