Objective To evaluate the effectiveness ofradiofrequency volumetric tissue reduction （RFVTR） in the treatment of sleep disordered breathing （SDB ）. Methods We searched The Cochrane Central Register of Controlled Trials （Issue 1, 2005）, MEDLINE （1966 to Apr. 2005）, EMBASE （1989 to Apr. 2005）, CINAHL （1982 to Dec. 2000）, VIP （1989 to Dec. 2004） , CJFD （1979 to 2005）, WANFANG DATA （1977 to 2004） , and CBMdisc （1978 to 2005）. The bibliographies of all papers retrieved in full text form and relevant narrative reviews were searched for additional publications. All randomized controlled clinical trials （RCT） or quasi-randomized controlled trials （quasi-RCT） or prospective cohort studies of RFVTR alone or in combination with other treatments compared with placebo or other treatments were included. Data were extracted independently from the trial reports by the two authors. Meta-analysis was performed using RevMan software. Results There were 11 studies including 540 patients met the inclusion criteria for this review, among which five were RCTs, six were prospective cohort studies, and all trials were of lower methodological quality. RFVTR showed benefit over placebo in apnea index （AI）, but this benefit was not seen in other polysorrmography （PSG） parameters, symptom and quality of life, psychomotor vigilance pain, swallowing difficulty and adverse events. Compared with continuous positive airway pressure （CPAP）, uvulopalatopharyngoplasty （UPPP） and laser assisted uvulopalatoplasty （LAUP） , RFVTR was more effective in psychomotor vigilance pain and swallowing difficulty, but this effect was not seen in PSG parameters, symptom and quality of life. Conclusions RFVTR is more effective than placebo in AI improvement and other treatments in decreasing postoperative pain and other adverse events ; but this benefit was not seen in improving quality of sleeping and life. More well-designed randomized trials need to be conducted to identify the effectiveness and the influence on effectiveness of severity and frequency of treatment.
【摘要】 目的 了解和分析玉树地震伤员急性应激期睡眠问题。 方法 2010年4月，对90例玉树地震伤员的急性应激反应采用创伤后应激障碍症状清单平民版(PCL-C)17项量表进行筛查评估，并应用SPSS 17.0软件进行统计学分析。 结果 在PCL-C 17个条目中，提示睡眠障碍的条目2和条目13发生率分别为61.10%、63.30%，分别排列第5位、第3位，其得分分别与PCL-C总得分、闪回症状得分、回避症状得分及高警觉性症状得分均呈正相关(P值均lt;0.01)。 结论 睡眠障碍是地震伤员急性应激反应中的常见问题，需高度重视，并进行积极有效的处理。【Abstract】 Objective To learn and analyze the sleep disorders in acute stress of the wounded persons in Yushu earthquake. Methods The acute stress reaction of 90 wounded persons in Yushu earthquake were screened with post-traumatic stress disorder (PTSD) Checklist-Civilian (PCL-C) version-17 in April 2010. Sleep disorders were statistically analyzed with SPSS 17.0. Results In the 17 items of PCL-C, the incidences of the second and the thirteenth item which were related to sleep disorders were respectively 61.10% ranking at the fifth and 63.30% ranking at the third. Both scores of these two items had significant positive correlation with the total score of PCL-C and the scores of the flashback symptom, the avoidance symptom and the heightened alertness symptom (Plt;0.01). Conclusion Sleep disorder is a common problem in acute stress reaction of wounded persons in earthquakes, which needs high attention to be treated positively.
The use of actigraphy, which can be used to estimate sleep-wake patterns from activity levels, has become common in sleep research. Actigraphy is a simple, cost-effective and non-invasive method for healthcare providers and researchers to assess patients sleep quality and screen for potential sleep disorders in recent years. But, there is no wide recognition and application of actigraphy in China up till now. This review summarized the application of actigraphy in evaluation of sleep and diagnosis of sleep disorders.
Objectives To study the characteristics and influencing factors of sleep disorder in patients with epilepsy. Methods One hundred and eighty-four patients with epilepsy who were admitted to the outpatient department and the epilepsy center in the Second Affiliated Hospital of Zhejiang University from October 2016 to October 2017 were enrolled. Their clinical data were collected in detail and their sleep related scales were evaluated. Sleep related assessment tools: Chinese version of the Pittsburgh sleep quality index scale (PSQI), the Epworth sleepiness scale (ESS), Berlin Questionnaire (BQ), Quality Of Life In People With Epilepsy-31 (QOLIE-31), Beck Anxiety Inventory (BAI) and Beck Depression Inventory(BDI). Results Among the 184 cases of patients with epilepsy, 100 cases were male (54.3%), 84 cases were female (45.7%), 35 cases (19.0%) had sleep disorders, 89 cases (48.4%) with poor quality of life, 23 cases (12.5%) with anxiety, 47 cases (25.5%) with depression, 59 cases (32.1%) had daytime sleepiness, and 30 cases (16.3%) with OSAS. there were statistically significant differences in age, history of hypertension, seizure frequency, quality of life , anxiety and depression in epilepsy patients with sleep disorder compared those without sleep disorder (P<0.05). The seizure frequency, quality of life, anxiety and depression were analyzed by logistic regression analysis, suggesting that seizure frequency (P=0.011) and depression (P<0.001) are independent risk factors of sleep disorders. Conclusions Epileptic patients with sleep disorder have higher frequency of seizures, poorer quality of life, and are more likely to be associated with anxiety and depression, and the frequency and depression are independent risk factors of sleep disorder in patients with epilepsy.
Objectives To systematically review the prevalence of sleep disorders in Chinese elderly population. Methods CNKI, Wanfang, VIP, PubMed and Web of Science were searched to collect studies on the prevalence of sleep disorders the Chinese elderly from January 2000 to November 2017. Two reviewers independently screened literatures, extracted data and evaluated risk of bias of the included studies, then meta-analysis was performed by Stata 14.0 software. Results A total of 19 cross-sectional studies were included. The results of the meta-analysis showed that, the overall prevalence of sleep disorders was 41.2% (95% CI 36.2% to 46.2%). Male and female prevalence rates were 35.7% and 45.0%, respectively. For individuals aged between 60 to 70, 70 to 80 and above 80, the prevalence rates were 29.9%, 42.0%, 44.2%, respectively. For individuals with primary school education and below, junior/high school education, college degree or above, the prevalence rates were 29.0%, 23.1%, 22.4%, respectively. The prevalence rate of individuals with normal marital status was 31.5%, and those with abnormal marital status (widowed, divorced, single, etc.) was 41.0%. The prevalence rate in individuals with in people with physical illness was 45.7%, and those without physical illness was 32.4%. For the urban population, the prevalence rate was 36.4%, while for the rural population, the prevalence rate was 42%. Conclusions The overall prevalence of sleep disorders in the Chinese elderly is high. The prevalence rate of sleep disorders among gender, age, educational level, marital status, physical illness, and living space is different.
Objective To investigate the relative factors of sleep disorders in patients after arthroscopic knee surgery.MethodsThe clinical data of 155 patients undergoing arthroscopic knee surgery in West China Hospital of Sichuan University from October 1st 2017 to April 1st 2018 were analyzed. The sleep quality index was assessed by the Pittsburgh Sleep Quality Index. According to the scores, the patients were divided into two groups: the sleep disorder group and the non-sleep disorder group. Mindfulness level were evaluated by Mindful Attention Awareness Scale (MAAS). The binary logistic regression was used to assess the relationship between MAAS and sleep disorders.ResultsAmong the enrolled cases, there were 135 males and 20 females, with an average age of (34.12±12.13) years; 64 patients had poor sleep quality. The results of univariate analysis showed that the payment method, single or bilateral lesions, and MAAS score were the factors affecting sleep (P<0.05). The results of multivariate analysis indicated that with medical insurance [odds ratio (OR)=0.118, 95% confidence interval (CI) (0.021, 0.671), P=0.016], postoperative pain [OR=3.379, 95%CI (1.164, 9.812), P=0.025], bilateral lesions [OR=3.842, 95%CI (1.040, 14.191), P=0.044], and MAAS score ≥68 [OR=0.046, 95%CI (0.018, 0.121), P<0.001] were independent predictive factors for sleep disorders (P<0.05). Conclusion Postoperative pain reduction and mindfulness training may improve the patients’ sleep quality and reduce the incidence of sleep disorders.