Objective To understand the incidence of frailty in maintenance hemodialysis (MHD) patients, and to explore the correlation and influencing factors of frailty in MHD patients, so as to provide some basis for the intervention of frailty in MHD patients. Methods Patients who underwent MHD in the Department of Nephrology of West China Hospital of Sichuan University from January to March 2021 were selected. Frail scale and Pittsburgh Sleep Quality Index (PSQI) were used for evaluation, and the influencing factors of frail in patients with MHD and its correlation with frail were analyzed. Results A total of 141 patients with MHD were included, including 57 cases without frailty (40.43%), 71 cases in early frailty (50.35%), and 13 cases in frailty (9.22%). 54 cases (38.30%) had very good sleep quality, 56 cases (39.72%) had good sleep quality, 24 cases (17.02%) had average sleep quality, and 7 cases (4.96%) had very poor sleep quality. The frailty of MHD patients was positively correlated with age (rs=0.265, P=0.002), PSQI (rs=0.235, P=0.005) and magnesium (rs=0.280, P=0.001). Logistic regression analysis showed that the influencing factors of MHD patients’ frailty were gender [odds ratio (OR) =4.321, 95%confidence interval (CI) (1.525, 12.243), P=0.006], PSQI [OR=1.110, 95%CI (1.009, 1.222), P=0.032], magnesium [OR=122.072, 95%CI (4.752, 3 135.528), P=0.004], hypertension [OR=0.112, 95%CI (0.023, 0.545), P=0.007] and other diseases [OR=0.102, 95%CI (0.019, 0.552), P=0.008]. Conclusions The incidence of frailty in MHD patients is high. Gender, PSQI, magnesium, hypertension and other diseases are the influencing factors of frailty in MHD patients, and there is a correlation between frailty and sleep. It is suggested that renal medical staff should pay more attention to the assessment of MHD frailty and sleep, and carry out multi-disciplinary personalized intervention to improve the quality of life of MHD patients.
Objective To investigate the current status of fear of disease progression and sleep quality among laryngeal cancer patients, and analyze the correlation between them. Methods Laryngeal cancer patients who were hospitalized in West China Hospital of Sichuan University between March 2021 and February 2022 were selected for this cross-sectional survey. Sociodemographic and disease-related data questionnaires, Chinese version of Fear of Progression Questionaire Short Form, and Pittsburgh Sleep Quality Index (PSQI) Scale were used to investigate the laryngeal cancer patients who met the inclusion criteria, and the correlation between fear of disease progression and PSQI score in laryngeal cancer patients was analyzed by Spearman correlation analysis. Multiple linear stepwise regression analysis was used to analyze the effects of sociodemographic and disease-related characteristics on the total score of fear of disease progression in laryngeal cancer patients, and the effects of sociodemographic, disease-related characteristics and total score of fear of disease progression on the total score of PSQI of laryngeal cancer patients. Scores were expressed as median (lower quartile, upper quartile). Results A total of 312 copies of questionnaires were distributed and 309 valid copies were recovered, with an effective recovery rate of 99.0%. The total score of fear of disease progression in the laryngeal cancer patients was 22.00 (16.00, 30.00), including 12.00 (8.00, 17.00) in physiological health dimension, and 10.00 (7.00, 14.00) in social and family dimension. The total score of PSQI was 5.00 (3.00, 8.50). The correlations of the physiological health dimension score, the social and family dimension score, and the total score of fear of disease progression with the total score of PSQI in laryngeal cancer patients were positive with statistical significance (rs=0.294, P<0.001; rs=0.234, P<0.001; rs=0.287, P<0.001). Multiple linear stepwise regression analyses showed that the total score of fear of disease progression in laryngeal cancer patients was affected by the stage of disease, occupation, primary caregiver and treatment plan (P<0.05), and the total score of PSQI of laryngeal cancer patients was affected by level of education, treatment plan and the total score of fear of disease progression (P<0.05). Conclusions The fear of disease progression in laryngeal cancer patients has a significant negative correlation with the sleep quality. Meanwhile, alleviating the level of fear of disease progression may improve sleep quality.
Objective To investigate the effect of anti-seizure medications (ASMs) pregabalin (PGB) monotherapy on sleep structure and quality of patients with focal epilepsy. MethodsAdult patients whom newly diagnosed focal epilepsy were collected and treated with PGB monotherapy. The main outcome measures were the changes of polysomnography and video-electroencephalography (PSG-VEEG), Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI) and Epworth Sleepiness Scale (ESS) in epilepsy patients with PGB and baseline. Results PGB improved significantly sleep structural parameters, including increased total sleep time (P<0.001), decreased sleep latency (P<0.001), improved sleep efficiency (P<0.001), reduced wake time after sleep onset (P<0.001), increased sleep maintenance efficiency (P<0.001) and proportion of N3 sleep stage (P<0.001). In the group with poor sleep efficiency, 86.7% of patients achieved sleep efficiency>85% after PGB treatment. The difference was statistically significant (P<0.01). PGB reduced significantly PSQI score (P<0.001) and ISI score (P<0.001). No significant change in ESS score was observed (P>0.05). ConclusionsPGB could enhance slow-wave sleep (SWS), increase sleep quality and improve insomnia in patients with epilepsy without causing daytime sleepiness.
ObjectiveTo systematically review the correlation between sleep quality and social support of the elderly.MethodsDatabases including PubMed, MEDLINE, The Cochrane Library, Springerlink, ProQuest, CMB, CNKI, VIP, and WanFang Data were searched to collect studies on the correlation between sleep quality and social support of the elderly from January 1996 to January 2020. Two reviewers independently screened literature, extracted data and evaluated risk of bias of included studies. Meta-analysis was then performed using RevMan 5.3 software.ResultsA total of 9 studies involving 2 427 elderly people were included. The meta-analysis showed that the combined correlation coefficient between sleep quality and social support was -0.40 (95%CI −0.54 to −0.26). The correlation between sleep quality and social support of the elderly varied with the year of publication and sample size, however without regular change. The correlation coefficient of the elderly from institutions (hospital or pension institutions) was higher than that of the community (−0.33 vs. −0.26); the correlation coefficient of the elderly with health problems was higher than those without health problems (−0.32 vs. −0.25); the results measured by non-random sampling method were higher than those measured by random sampling (−0.37 vs. −0.23); and the results measured by Pittsburgh sleep quality index (PSQI) and social support rating scale (SSRS) were higher than those measured by PSQI and perceived social support scale (PSSS) (−0.30 vs. −0.13).ConclusionsThe higher the level of social support of the elderly in China, the lower the score of PSQI, and the better the sleep quality, in which there are differences in different sample sources and physical conditions.
Objective To explore the influencing factors of sleep quality of the elderly in Chengdu community and put forward corresponding nursing strategies. Methods The elderly in four communities in Chengdu were selected by convenient sampling method from January to June 2021. The elderly in the community were investigated and analyzed by general information questionnaire, Interpersonal Relationship Integrative Diagnostic Scale (IRIDS) and Pittsburgh Sleep Quality Index (PSQI). Multiple linear stepwise regression was used to analyze the factors affecting the sleep quality of the elderly. Results A total of 232 elderly were investigated and 211 were finally included. The total score of PSQI in the elderly was positively correlated with the score of interpersonal conversation disturbance (r=0.297, P<0.05) and the score of treating people disturbance (r=0.208, P<0.05). The results of multiple linear stepwise regression analysis showed that physical exercise, monthly amount of money, education and four dimensions of interpersonal troubles were the main influencing factors of sleep quality in the elderly. Conclusions The community elderly in this study had better sleep quality. Physical exercise, monthly amount of money, education and four dimensions of interpersonal troubles were all important factors affecting the sleep quality of the elderly. Community nursing staff should pay more attention to the sleep quality of the elderly, put forward measures to improve the related factors leading to sleep disorders, encourage the elderly to take physical exercise. They should also provide psychological counseling and interpersonal communication skills for the elderly with interpersonal troubles and help expand the communication platform to improve sleep quality of the elderly in the community.
Objective To compare the effect of different doses of compound betamethasone intradermal block on post-herpetic neuralgia (PHN) in elderly patients. Methods Between June 2013 and December 2014, 96 elderly patients who matched the criteria of PHN were chosen and randomly divided into saline control group (group C), compound betamethasone 0.5 mL group (group B0.5) and compound betamethasone 1.0 mL group (group B1.0). For the control group, 20 mL analgesic saline liquid including 5 mL of 2% lidocaine was used. And 0.5 and 1.0 mL compound betamethasone was added into the solution of group C to get the solution for group B0.5 and group B1.0, respectively. The patients got intracutaneous injection once in the affected area on the day 1, 8, and 15 respectively, and patients in the same group were injected the same solution of analgesic liquid. All the patients took the same medicine during treatment. Their visual analog scale (VAS) scores, quality of sleep (QS) scores and adverse events before treatment (T0), at discharging from the hospital (T1), and three months after discharging (T2) were carefully noted and analyzed. Results The VAS and QS scores of the three groups at T1 and T2 improved significantly compared with those at T0 (P < 0.05). The VAS and QS scores of group B0.5 and group B1.0 improved significantly more compared with group C (P < 0.05), and the difference of VAS and QS scores between group B0.5 and group B1.0 was not statistically insignificant (P > 0.05). Conclusions Adding 0.5 mL or 1 mL of compound betamethasone to the 20 mL analgesic liquid for intradermal block treatment on PHN can obviously release patients’ pain and improve their sleep quality. Compared with 1 mL, adding 0.5 mL compound betamethasone to the 20 mL analgesic liquid for intradermal block treatment on PHN is a more ideal dose.
Objective To evaluate the effectivity of dexmedetomidine on the early postoperative quality of recovery in patients undergoing ambulatory knee arthroscopy under general anesthesia. Methods Patients scheduled for knee arthroscopy at the Day Surgery Center of the First Affiliated Hospital of Anhui Medical University between June and September 2024 were selected. According to the computer-generated random allocation, patients were randomly divided into the dexmedetomidine group (Dex group) and the saline control group (NS group). The Dex group received a continuous infusion of dexmedetomidine at a rate of 0.04 µg/(kg·h) until discharge, whereas the NS group was administered a comparable volume of saline. The primary outcome measure was the EuroQol Five-Dimensional Five-Level (EQ-5D-5L) score for health-related quality of life measured at the postoperative 24 hours. Secondary outcome measures included the Athens Insomnia Scale score on the night of surgery and the incidence of adverse reactions such as nausea and vomiting within 24 hours postoperatively. Results A total of 60 patients were included, with 30 patients in each group. There were statistically significant differences in the EQ-5D-5L health scores at the postoperative 24 hours (0.857±0.081 vs. 0.721±0.098) and the Athens Insomnia Scale scores [2.00 (2.00, 3.00) vs. 4.00 (3.00, 5.25)] on the night of surgery between the Dex group and the NS group (P<0.05). The difference in the incidence of postoperative nausea and vomiting between the two groups was not statistically significant [1 case (3.3%) vs. 5 cases (16.7%); χ2=1.667, P=0.197]. No adverse reactions such as bradycardia, hypotension, urinary retention, respiratory depression, dizziness and lethargy occurred in both groups. Conclusion Dexmedetomidine can significantly improve the early postoperative quality of life and sleep in patients undergoing ambulatory knee arthroscopy, thereby facilitating early postoperative quality of recovery.
Objective To cluster the symptoms of patients with chronic heart failure (CHF) through the cluster analysis, and to explore the relationships among symptom clusters of CHF, patients’ self-care behaviors and sleep quality, as well as the pathways influencing sleep quality of CHF patients. Methods A convenience sampling approach was used to provide a questionnaire survey to CHF patients who were being followed up with between January and December 2021. The Pittsburgh Sleep Quality Index, Memorial Symptom Assessment Scale-Heart Failure, European Heart Failure Self- care Behavior Scale and a self-created questionnaire on sociodemographic and clinical data characteristics were all included in the survey. Results A total of 304 CHF patients were included. Among them, there were 178 males and 126 females; the average age was (61.31±14.00) years; the average sleep quality score was (8.17±4.51) points, while the average overall self-care behavior score was (21.28±3.80) points. According to the cluster analysis of the symptoms of CHF patients, the patients’ symptoms were separated into clusters related to exhaustion, disease perception, and a single symptom of dry mouth. The sleep quality score was positively correlated with the following factors: age, number of comorbidities, overall score of symptom assessment, fatigue symptom cluster score, and illness perception symptom cluster score (P<0.05). There was no significant correlation between the self-care behavior score and sleep quality (P>0.05). However, sleep quality scores were negatively correlated with body mass index and education level, respectively (P<0.05). Age, gender, score of illness perception symptom cluster, and fatigue symptom cluster all had direct effects on sleep quality of 0.014, 0.206, 0.487, and 0.165 (P<0.05), respectively, according to path analysis. Self-care behavior also had a direct influence of 0.018 (P=0.686). Conclusions CHF patients have somewhat high levels of self-care behaviors, but they have poor sleep quality. They still have a lot of symptoms after being released. Sleep quality is significantly impacted by the patients’ age, body mass index, educational attainment, number of comorbidities, symptom ratings, fatigue symptom clusters, and disease perception symptom clusters. While the route effects of the patients’ self-care actions are not statistically significant, the age, gender, disease perception, and fatigue symptom cluster scores of CHF patients have a direct impact on the quality of their sleep. By managing the same clusters of symptoms, nursing staff can help patients with CHF feel better. They can also help patients sleep better by adopting practical measures.
目的 探讨原发性失眠患者日间功能损害及其影响因素。 方法 选取2010年3月－12月符合美国《精神障碍诊断与统计手册》第4版诊断标准的原发性失眠者62例，另选择性别、年龄匹配的健康睡眠者53例。失眠组和对照组均采用匹茨堡睡眠质量指数量表（PSQI）评估1个月的主观睡眠质量，多导睡眠监测（PSG）评估客观睡眠质量，并通过“主观睡眠时间/客观睡眠时间×100%”计算睡眠知觉，PSG监测后受试者完成一系列日间功能评定，包括Epworth嗜睡量表（ESS）评价嗜睡程度、Flinders疲劳量表（FFS）评价疲劳程度、贝克抑郁量表（BDI）和状态-特质焦虑量表（STAI）评估情绪状态。 结果 ① 与对照组相比，失眠组主客观睡眠质量均较差；PSQI分数更高[（14.37 ± 2.44）、（2.74 ± 1.79）分，P＜0.001）]；睡眠知觉差[（49.76 ± 33.29）、（99.36 ± 12.79）分，P＜0.001）]。② 失眠组FSS、BDI、SAI、TAI分数明显高于对照组，ESS分数低于对照组（P值均＜0.05）。③ PSQI总分与ESS呈负相关（r=−0.17，P＜0.01），与FSS、BDI、SAI、TAI分数呈正相关（r=0.54，r=0.66，r=0.70，r=0.87）（P值均＜0.01）。客观睡眠时间与ESS（r=−0.01，P=0.138）、FSS（r=−0.02，P=0.019）、BDI（r=−0.03，P=0.022）、SAI（r=−0.03，P=0.086）、TAI（r=−0.04，P=0.015）分数均无明显相关性。 结论 原发性失眠者主观睡眠质量与多项日间功能损害相关，这为有效的治疗失眠和改善日间症状提供理论依据。