网络刀患者治疗期间睡眠障碍的发生率和影响因素。

IF 1 4区 医学 Q4 NEUROSCIENCES
Jing Shao, Tongxin Min, Lihui Zhou
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引用次数: 0

摘要

研究目的本研究首先分析赛博刀患者在治疗过程中睡眠障碍的发生率及影响因素,以期为临床预防、早期诊断和治疗提供更准确的策略:选取2022年4月至2023年4月在复旦大学附属华山医院肿瘤诊治中心接受赛博刀治疗的101例患者作为研究对象。采用匹兹堡睡眠质量指数(PSQI)进行评估。PSQI≥8分的患者为发生组,PSQI≥8分的患者为结果组:本研究共纳入 101 例网络刀病患者,其中 43 例(42.58%)无睡眠障碍,被纳入非发生组。轻度失调患者有 22 例(21.78%),中度失调患者有 22 例(21.78%),重度失调患者有 14 例(13.86%),所有这些患者都被纳入失调发生组。受教育程度存在明显差异(小学和初中 32 例(55.17%)与高中 32 例(55.17%)和大学 32 例(55.17%)):32(55.17%) vs. 15(34.88%)例患者,P = 0.043)、家庭月收入(≤5000 元人民币(1 美元 = 6.48 元人民币):36(62.07%) vs. 15(34.88%)例患者,P = 0.007)、躯体症状(35(60.34%) vs. 17(39.53%)例患者,P = 0.038)、焦虑自评量表(SAS)(>50:32(55.17%)vs 15(34.88%)名患者,P = 0.043)、抑郁自评量表(SDS)(>53:35(60.34%)vs 18(41.86%)名患者,P = 0.038)、数字评分量表(NRS)(>3:30(51.72%)vs 13(30.23%)名患者,P = 0.031)发生组与未发生组之间的差异。教育程度(几率比(OR)= 2.845,P = 0.038)、躯体症状(OR = 2.666,P = 0.048)、SAS(OR = 2.889,P = 0.042)、SDS(OR = 2.928,P = 0.027)和 NRS(OR = 2.981,P = 0.025)对网络刀患者的睡眠障碍有显著的统计学影响:网络刀患者在治疗期间容易出现睡眠障碍。结论:网刀患者在治疗过程中容易出现睡眠障碍,有必要在临床实践中加强重视并采取措施减少睡眠障碍的发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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来源期刊
Actas espanolas de psiquiatria
Actas espanolas de psiquiatria 医学-精神病学
CiteScore
1.70
自引率
6.70%
发文量
46
审稿时长
>12 weeks
期刊介绍: Actas Españolas de Psiquiatría publicará de manera preferente trabajos relacionados con investigación clínica en el área de la Psiquiatría, la Psicología Clínica y la Salud Mental.
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