ObjectiveTo explore the correlation between readiness for hospital discharge and short-term quality of life among colorectal cancer (CRC) patients following enhanced recovery after surgery (ERAS) mode.MethodsSurveys of 127 CRC patients following ERAS mode were conducted in the West China Hospital of Sichuan University. The Readiness for Hospital Discharge Scale and EORTC QLQ-C30 Scale were issued at the discharge and 1 month after the operation, respectively.ResultsThe total score of RHDS was 149.43±33.25. The score of global quality of life was 66.80±18.84. Correlation analysis showed that the total score of RHDS was positively correlated with the score of global quality of life (r=0.220, P=0.013), and negatively correlated with the scores of fatigue, nausea and vomiting, pain, loss of appetite (r=–0.304, P=0.001; r=–0.189, P=0.033; r=–0.257, P=0.004; r=–0.254, P=0.004). The score of personal status dimension were positively correlated with the score of global quality of life and emotional function (r=0.213, P=0.016; r=0.197, P=0.027), and negatively correlated with scores of fatigue, pain and insomnia (r=–0.311, P=0.000; r=–0.264, P=0.003; r=–0.257, P=0.004). The score of knowledge dimension was negatively correlated with nausea and vomiting, pain and loss of appetite (r=–0.212, P=0.017; r=–0.182, P=0.040; r=–0.239, P=0.007). The score of coping ability dimension was positively correlated with the score of global quality of life and physical function (r=0.204, P=0.021; r=0.204, P=0.021), while negatively correlated with scores of fatigue, pain, insomnia and loss of appetite (r=–0.349, P=0.000; r=–0.240, P=0.007; r=–0.202, P=0.022; r=–0.201, P=0.024). The score of expected support was positively correlated with the score of global quality of life (r=0.220, P=0.013), and negatively correlated with scores of fatigue and loss of appetite (r=–0.249, P=0.005; r=–0.227, P=0.010).ConclusionsThe short term quality of life among CRC patients following ERAS keeps at upper middle level, and positively correlated with the readiness for hospital discharge. It is suggested that discharge preparation service is of great significance to improve the quality of life of patients.
Objective Secondary osteoporosis is very common in patients with primary osteoporosis. Diabetes is a known cause of secondary osteoporosis. While type I diabetes has been clearly linked with diabetic osteoporosis, the effect of type II diabetes on bone health is controversial.Methods In the present study, we investigated the associations between type II diabetes and osteoporosis as well as fractures at different skeletal sites in Women’s Health Initiative participants.Results Common risk factors such as age, race, BMI, HRT use, and the history of fractures were significantly associated with osteoporosis and fractures in this study population. Diabetic women appeared to have a decreased risk of osteoporosis although it no longer remained significant after adjusting for other risk factors (crude HR=0.78, 95%CI 0.61 to 0.99; adjusted HR=0.93, 95%CI 0.73 to 1.19). The impact of diabetes on fractures varied at different body sites. There was a significant increase of risk of hip fracture (HR=2.54, 95%CI 1.14 to 5.66), but not spine fracture (HR=1.71, 95%CI 0.81 to 3.60) and arm fracture (HR=0.92, 95%CI 0.48 to 1.76) among the women with diabetes. Although the overall risk of fractures in diabetic women did not differ significantly from non-diabetic women (HR=1.37, 95%CI 0.89 to 2.09), the difference had a two-fold increase and was statistically significant after 2,000 days (HR=2.01, 95%CI 1.21 to 3.35), indicating a different hazard at different stages of diabetes.Conclusion Our findings suggest that type II diabetes may not be clearly associated with osteoporosis, it increases a site-specific fracture risk at least in the hip. In addition, the overall fracture risk appears to increase in a time-dependent manner.
The brain-computer interface (BCI) systems used in practical applications require as few electroencephalogram (EEG) acquisition channels as possible. However, when it is reduced to one channel, it is difficult to remove the electrooculogram (EOG) artifacts. Therefore, this paper proposed an EOG artifact removal algorithm based on wavelet transform and ensemble empirical mode decomposition. Firstly, the single channel EEG signal is subjected to wavelet transform, and the wavelet components which involve EOG artifact are decomposed by ensemble empirical mode decomposition. Then the predefined autocorrelation coefficient threshold is used to automatically select and remove the intrinsic modal functions which mainly composed of EOG components. And finally the ‘clean’ EEG signal is reconstructed. The comparative experiments on the simulation data and the real data show that the algorithm proposed in this paper solves the problem of automatic removal of EOG artifacts in single-channel EEG signals. It can effectively remove the EOG artifacts when causes less EEG distortion and has less algorithm complexity at the same time. It helps to promote the BCI technology out of the laboratory and toward commercial application.
Heart valve disease (HVD) is one of the common cardiovascular diseases. Heart sound is an important physiological signal for diagnosing HVDs. This paper proposed a model based on combination of basic component features and envelope autocorrelation features to detect early HVDs. Initially, heart sound signals lasting 5 minutes were denoised by empirical mode decomposition (EMD) algorithm and segmented. Then the basic component features and envelope autocorrelation features of heart sound segments were extracted to construct heart sound feature set. Then the max-relevance and min-redundancy (MRMR) algorithm was utilized to select the optimal mixed feature subset. Finally, decision tree, support vector machine (SVM) and k-nearest neighbor (KNN) classifiers were trained to detect the early HVDs from the normal heart sounds and obtained the best accuracy of 99.9% in clinical database. Normal valve, abnormal semilunar valve and abnormal atrioventricular valve heart sounds were classified and the best accuracy was 99.8%. Moreover, normal valve, single-valve abnormal and multi-valve abnormal heart sounds were classified and the best accuracy was 98.2%. In public database, this method also obtained the good overall accuracy. The result demonstrated this proposed method had important value for the clinical diagnosis of early HVDs.
ObjectivesTo analyze the balance of medical human resource allocation in Chengdu and to discuss the impact of human resource allocation structure on the hospital’s medical service capabilities, so as to provide a theoretical basis for the hospital to optimize the talent team structure.MethodsThe Moran’s index and Gini coefficient were used to evaluate the spatial aggregation and grade distribution difference of human resources allocation, respectively. The case mix index (CMI), the length of hospital stay, and the difficulty of surgery were used as outcome variables, and a multiple regression analysis model was established to explore the impact of human resource indicators on the hospital’s medical service capabilities.ResultsThe distribution of doctors showed an obvious spatial aggregation in Chengdu, and there was a positive spatial correlation (Moran’s Idoctor=0.290); the distribution of nurses had no obvious spatial aggregation (Moran’s Inurse=0.102). Under different medical service capacity segments, the Gini coefficient of doctors was 0.518, and the Gini coefficient of nurses was 0.576, both exceeding 0.5, indicating that the distribution of medical human resources in different levels of hospitals was considerably different. The regression results showed that the expansion of the quantity of senior title doctors and the proportion of medical care both could improve the hospital’s CMI. The increase in the quantity of doctors with senior titles also had a certain impact on improving the hospital’s surgical capabilities. The expansion of the proportion of medical care could lead to a slight increase in the length of patients' hospital stay.ConclusionsOptimizing the allocation structure of medical human resources in different regions and hospitals with different levels is an important task in the construction of a hierarchical diagnosis and treatment system. It is necessary to further integrate medical human resources throughout the whole city and strengthen personnel training and team building in primary health institutions. Hospitals at different levels should implement their own development positioning and further optimize their human resource allocation structure according to development needs. Tertiary hospitals should pay more attention to the cultivation of senior professional doctors, optimize the proportion of medical care, and improve the hospital’s medical service capabilities. The primary health institutions should pay attention to the comprehensive construction of medical personnel, and strengthen the development of the team of general practitioners, so as to achieve a comprehensive improvement of the city’s medical service capabilities.
Objective To investigate the expression of phosphate and tension homology deleted on chromsome ten (PTEN) and Basigin1, as well as their relationships with clinicopathological factors and molecular subtypes in invasive ductal carcinoma of breast. Methods The expressions of PTEN and Basigin1 protein were examined in 76 invasive ductal carcinoma of breast tissues by immunohistochemical method, and 20 breast benign hyperplasia tissues as control. These 76 patients underwent surgery in our hospital from Jan. 2014 to Dec. 2015. Results The high-expression rate of PTEN protein in invasive ductal carcinoma of breast tissues was lower than that in benign hyperplasia tissues [56.6% (43/76) vs. 85.0% (17/20), χ2=5.457, P=0.019], while the high-expression rate of Basigin1 protein was higher than that of the benign hyperplasia tissues [51.3% (39/76) vs 25.0% (5/20), χ2=4.417, P=0.036]. The high-expression of PTEN protein was positively correlated with WHO grade and lymph node metastasis status (P<0.05). The high-expression of Basigin1 protein was positively correlated with WHO grade, lymph node metastasis status, and TNM stage (P<0.05). In addition, the high-expression of PTEN protein was associated with molecular subtypes of breast cancer (P<0.001), and its high-expression rate was higher in Luminal A and Luminal B patients; the high-expression of Basigin1 protein was associated with molecular subtypes of breast cancer too (P<0.001), and the high-expression rate of Basigin1 protein was higher in Her-2 overexpression and basal-like subtypes of breast cancer patients. Spearman correlation analysis shown that expression of PTEN protein was negatively correlated with expression of Basigin1 protein (rs=–0.481, P<0.001). Conclusion PTEN and Basigin1 protein may have some mechanisms to promote the occurrence and development of breast cancer, which provide a new basis for targeted treatment of breast cancer.
Objective To investigate the current status of disease uncertainty and alexithymia in elderly hospitalized patients with chronic obstructive pulmonary disease (COPD). Methods By using the convenience sampling method, a total of 165 elderly patients with COPD were investigated by using general information questionnaire, Mishel's uncertainty in illness Scale (MUIS) and Toronto alexithymia scale (TAS-20). Results The disease course of the elderly hospitalized patients with COPD was mostly 3 - 6 years (40.0%), and most of them had 1 - 2 chronic diseases (59.4%). More than half of the elderly had a history of smoking and drinking. The severity of COPD in the elderly was moderate (57.0%), and the number of hospitalization in the year was more than 2 times (58.8%). The score of disease uncertainty in the elderly hospitalized patients with COPD was 89.49±9.45, and the score of uncertainty was the highest (36.59±4.08), followed by the lack of information (18.51±1.86). The score of alexithymia in the elderly hospitalized patients with COPD was 55.32±6.37, and the score of all dimensions was the highest (21.87±2.93), followed by affective recognition disorder (18.27±2.55). The results of correlation analysis showed that the total score and scores of each dimension were positively correlated (P<0.01). The results of multi-factor analysis showed that age and course of disease and severity of COPD were the main influencing factors of disease uncertainty in elderly hospitalized patients with COPD (P<0.05). Conclusions The elderly hospitalized patients with COPD have a moderate level of disease uncertainty and a high degree of alexithymia. Besides, the greater the disease uncertainty is, the more serious the alexithymia. Therefore, clinical doctors and nurses should pay more attention to give emotional and psychological support and education guidance to the elderly patients with COPD, in order to improve their clinical efficacy and quality of life.
摘要:目的: 研究尿微量白蛋白与冠心病的相关性。 方法 : 按冠状动脉造影诊断标准将116例患者分为冠心病组(82人) 与非冠心病组(34人),测定晨尿白蛋白/ 肌酐浓度值(ACR),比较两组患者尿ACR 并分析ACR与冠脉病变程度的相关性。 结果 : 冠心病组ACR显著高于非冠心病组的; ACR与冠脉计分呈显著的直线正相关。 结论 :冠心病患者ACR水平升高,微量白蛋白尿与冠状动脉病变范围和程度密切相关, 且对冠状动脉狭窄程度具有独立预测价值。Abstract: Objective: To investigate the relationship between microalbuminuria and coronary artery disease(CAD). Methods : According to the diagnostic standard of coronary artery angiography,116 patients were divided into CAD group (82 patients) and nonCAD group (34 patients). The albumin and creatinine concentrationratio ratio(ACR) in morning urine samples from patients of both groups was estimated and compared. The correlation of ACR to the extent of coronary lesions was analyzed. Results : ACR in the CAD group was significantly higher than that in nonCAD group. A distinctly linear positive correlation existed between ACR and the score of the coronary lesions. Conclusion : ACR increase in patients with CHD.Micoalbuminuria was associated with the severity of coronary lesions in patients with CHD and is an independent predictor of CAD.
Objective To investigate the pleural effusion lymphocyte subsets in patients with pneumonia complicated with pleural effusion and its relationship with the occurrence of critical illness. MethodsPatients with pneumonia complicated with pleural effusion (246 cases) admitted to our hospital from January 2020 to June 2022 were selected as the research subjects. According to the severity of pneumonia, they were divided into a critical group (n=150) and a non-critical group (n=96). After 1:1 matching by propensity score matching method, there were 60 cases in each group. The general data of the two groups were compared. CD3+, CD4+, CD8+, CD4+/CD8+ ratio were detected by flow cytometry. Multivariate logistic regression was used to analyze the risk factors of critical pneumonia, and a nomogram prediction model was constructed and evaluated. The relationship between PSI score and lymphocyte subsets in pleural effusion was analyzed by local weighted regression scatter smoothing (LOWESS). Results After matching, the differences between the two groups of patients in the course of disease, heat peak, heat course, atelectasis, peripheral white blood cell count (WBC), C-reactive protein (CRP), D-dimer (D-D), procalcitonin (PCT) and hemoglobin were statistically significant (P<0.05). Compared with the non-critical group, the proportion of CD3+, CD4+, CD4+/CD8+ cells in critical group was lower (P<0.05), and the proportion of CD8+ cells was higher (P<0.05). Combined atelectasis, increased course of disease, fever peak and fever course, increased WBC, CRP, D-D, CD8+ and PCT levels, and decreased CD3+, CD4+, CD4+/CD8+ and Hb levels were independent risk factors for the occurrence of critical pneumonia (P<0.05). The nomogram prediction model based on independent influencing factors had high discrimination, accuracy and clinical applicability. There was a certain nonlinear relationship between pneomonia severity index and CD3+, CD4+, CD8+ and CD4+/CD8+. Conclusions Lymphocyte subsets in pleural effusion are closely related to the severity of pneumonia complicated with pleural effusion. If CD3+, CD4+, CD8+ and CD4+/CD8+ are abnormal, attention should be paid to the occurrence of severe pneumonia.
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.