The Incidence and Influencing Factors of Sleep Disorders in Cyber Knife Patients during Treatment

Objective: This study first analyzes the incidence and influencing factors of sleep disorders in Cyber Knife patients during treatment, in order to provide more accurate strategies for clinical prevention, early diagnosis, and treatment. Methods: A total of 101 patients who underwent Cyber Knife treatment at Tumor Diagnosis and Treatment Center, Huashan Hospital Affiliated to Fudan University from April 2022 to April 2023 were selected as the research objects. The Pittsburgh Sleep Quality Index (PSQI) was used for evaluation. Patients with PSQI ≥8 points were included in the occurrence group, and patients with PSQI <8 points were included in the non-occurrence group. The general sociological and disease-related characteristics of the patients, such as education, chemotherapy or targeted therapy, somatic symptoms and other features were collected. χ2 test was performed first to determine the difference between two groups, and Logistic regression analysis was used to identify the predictors of sleep disorders in Cyber Knife patients. Results: A total of 101 Cyber Knife patients were included in this study, of which 43 patients (42.58%) without sleep disorders were included in the non-occurrence group. There were 22 cases (21.78%) of mild disorder, 22 cases (21.78%) of moderate disorder, and 14 cases (13.86%) of severe disorder, all of which were included in the occurrence group. There were significant differences in education level (primary and junior high schools: 32 (55.17%) vs. 15 (34.88%) patients, p = 0.043), family monthly income (≤5000 CNY (1 USD = 6.48 CNY): 36 (62.07%) vs. 15 (34.88%) patients, p = 0.007), somatic symptoms (35 (60.34%) vs. 17 (39.53%) patients, p = 0.038), self-rating anxiety scale (SAS) (>50: 32 (55.17%) vs. 15 (34.88%) patients, p = 0.043), self-rating depression scale (SDS) (>53: 35 (60.34%) vs. 18 (41.86%) patients, p = 0.038), numerical rating scale (NRS) (>3: 30 (51.72%) vs. 13 (30.23%) patients, p = 0.031) between the group of occurrence and no occurrence group. Education level (odds ratio (OR) = 2.845, p = 0.038), somatic symptoms (OR = 2.666, p = 0.048), SAS (OR = 2.889, p = 0.042), SDS (OR = 2.928, p = 0.027) and NRS (OR = 2.981, p = 0.025) had a statistically significant effect on sleep disorders in Cyber Knife patients. Conclusions: Cyber Knife patients are prone to sleep disorders during treatment. It is necessary to pay more attention to and take measures to reduce the occurrence of sleep disorders in clinical practice.