全麻对高龄剖腹手术患者术后睡眠障碍影响的非线性回归分析

Z. Hua-feng, Chen Junping, Wang Ruichun, Wu Guorong
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引用次数: 0

摘要

探讨复苏室麻醉患者睡眠障碍的原因,并提出相应的护理方法。选取2015年4月至2016年2月我院麻醉复苏室212例术后睡眠障碍患者,采用自行设计的问卷调查其睡眠障碍类型及原因,并对其进行针对性的护理干预。结果显示,睡眠障碍中频繁躁动所占比例最高,其余依次为早醒、难再入睡、难入睡、彻夜难眠。在导致睡眠障碍的原因中,术后疼痛所占比例最高,其他主要原因还包括腹胀、尿急、体位不适等不适。针对睡眠障碍的不同类型、原因和症状,医护人员应有针对性、有计划地进行护理,提高睡眠质量,促进患者快速复苏。
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Non Linear Regression Analysis on the Effect of General Anesthesia on Postoperative Sleep Impairment in Elderly Patients Performed with a Laparotomy
To explore the cause of sleep disorders in patients in the resuscitation room for anesthesia, and to put forward corresponding nursing methods. 212 patients with sleep disorder after operation were selected from our hospital's anesthesia resuscitation room from April 2015 to February 2016 to investigate the types and causes of sleep disorders with self-designed questionnaire and to carry out a targeted nursing intervention to them. The results showed that the proportion of frequent restless among the sleep disorders was the highest, and the others were in turn early awakening, difficulty of falling asleep again, difficulty in falling asleep, and sleepless all night. Among the causes of sleep disorders, the postoperative pain accounted for the highest percentage, and other major causes include abdominal distension, urgent urination, postural discomfort and other discomforts. According to the different types, causes and symptoms of sleep disorder, medical staff should have provide a targeted and planned nursing to improve the quality of sleep and facilitate a rapid resuscitation of patients.
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来源期刊
Journal of Medical Imaging and Health Informatics
Journal of Medical Imaging and Health Informatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
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审稿时长
6-12 weeks
期刊介绍: Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas. As an example, the Distributed Diagnosis and Home Healthcare (D2H2) aims to improve the quality of patient care and patient wellness by transforming the delivery of healthcare from a central, hospital-based system to one that is more distributed and home-based. Different medical imaging modalities used for extraction of information from MRI, CT, ultrasound, X-ray, thermal, molecular and fusion of its techniques is the focus of this journal.
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