ObjectiveTo investigate the relationship of diaphragmatic mobility (ΔM) evaluated by ultrasonography with quality of life and athletic ability in patients with chronic obstructive pulmonary disease (COPD) , and analyze the factors those affect the diaphragmatic mobility.MethodsA total of 48 male patients with stable COPD were recruited in the study. The body height, body weight, diaphragmatic mobility, airflow obstruction (FEV1%pred), and exercise capacity (6MWD) were measured. The quality of life was assessed using the St. George’s Respiratory Questionnaire (SGRQ).ResultsThe minimum value of ΔM was 1.89 cm and the maximal value was 8.11 cm in the COPD patients. There were significant correlationship between ΔM and the SGRQ score of the total score, symptom score, impact points, activity points and 6MWD, with correlation coefficients of –0.474, –0.416, –0.432, –0.502 and 0.536, respectively. Multivariate stepwise regression analysis showed that the factors influencing ΔM were height (β=0.407, P=0.021) and FEV1%pred (β=–0.391, P=0.035).ConclusionsDiaphragmatic mobility and quality of life are closely related in COPD patients. The height and FEV1%pred have the greatest effect on diaphragmatic activity. The smaller diaphragm mobility is relevant to the worse quality of life and the smaller activity capacity.
Objective To identify the chief factors influencing the hospitalization expenses in fracture patients with health insurance so as to provide information for the control of irrational increase in medical expenses and reform in the mode of medical insurance payment. Methods A total of 113 fracture patients with medical insurance in a hospital of a certain city from September 2006 to April 2007 were included and statistical analysis was performed by using multinomial linear regression analysis. Results The major factors influencing the hospitalization expenses in fracture patients with health insurance included the proportion of material fees and drug fees, length of stay, performance of operations and blood transfusion and etc. Conclusion Lowering the proportion of material fees and drug fees reasonably, reducing the length of hospital stay and avoiding operations and blood transfusion were the key to the control of hospitalization expenses for fracture. It is imperative to speed up and deepen the reform in medical insurance system, formulate scientific diagnostic and treatment routines and clinical pathways as well as expense standards, and try out the payment on certain single disease such as fracture.
Objective To evaluate the reliability and validity of the Chinese version of the Amsterdam Preoperative Anxiety and Information Scale (APAIS) in preoperative anxiety in patients with local anesthesia. Methods From May to December 2020, a convenient sampling method was used to conduct an APAIS questionnaire survey on patients undergoing percutaneous renal biopsy in the Department of Nephrology, West China Hospital, Sichuan University, and the reliability and validity of the scale were analyzed. ResultsA total of 460 questionnaires were distributed and 444 valid questionnaires were returned, with a valid response rate of 96.5%. The Cronbach α of APAIS was 0.896, the Guttman split-half reliability was 0.811, and the content validity index was 0.891. The model fit was 12.122 for the chi-square fit index/degree of freedom, 0.916 for the goodness-of-fit index, 0.902 for the value-added fit index, 0.079 for the root mean square error of approximation, and 0.946 for the comparative fit index. The APAIS anxiety subscale score was positively correlated with the 7-item Generalized Anxiety Disorder Scale score (r=0.518, P<0.001). Conclusion The APAIS has good reliability and validity for evaluating the level of preoperative anxiety in patients with local anesthesia, but the application of the scale in other conditions requires further testing.
OBJECTIVE: To investigate the mechanism of overhealing alleviation by salvia miltiorrhiza (SM) in wound healing. METHODS: Fibroblasts were cultured in vitro, and SM was applied with different concentrations (40, 80, 160 and 320 micrograms/ml) and time(the 1st, 2nd, 3rd, 4th and 5th days) to influence their autocrine. The levels of transforming growth factor-β1 (TGF-β1) and epidermal growth factor (EGF) were determined by ELIAS and radioimmunoassay respectively. RESULTS: The SM could inhibit autocrine of TGF-β1 by fibroblasts (P lt; 0.05). However, it did not affect autocrine of EGF (P gt; 0.05). CONCLUSION: The above results indicate that SM reduces overhealing by inhibiting the autocrine of TGF-β1 selectively.
Objectives
To detect expressions of heat shock protein 70 (HSP70) and glial fibrillary acidic protein (GFAP) , and to estimate the post-injury interval after concussion of brain via the ratios of percentage of HSP70/GFAP-positive cells.
Methods
We established a brain concussion model of rat. Tissue levels of HSP70 and GFAP were determined by immunohistochemical staining at different time points after injury. Finally, the relationship between the ratio of percentage of HSP70/GFAP-positive cells and the post-injury interval was measured.
Results
The ratio of percentage of positive cells (increased from 7.15 to 11.73) and the percentage of HSP70-positive cells (P<0.05, compared with control group) increased, and the percentage of GFAP-positive cells did not change remarkably (P<0.05, compared with control group); the post-injury interval was between 0.5 hour and 3 hours. High ratio (>6.66) and high percentage of HSP70 and GFAP-positive cells (P<0.05, compared with control group) indicated the post-injury interval was between 3 and 12 hours. A low ratio (<6.66) and high percentage of HSP70 and GFAP-positive cells (P<0.05, compared with control group) suggested that the post-injury interval was later than 12 hours.
Conclusion
By analyzing the variation rule of the ratio of percentage positive cells after brain concussion, the post-injury interval after concussion of brain could be estimated.
Objective To use bibliometrics to identify research hotspots and emerging trends in the use of artificial intelligence (AI) in healthcare-associated infections (HAI), as well as to offer a resource for more relevant research. Methods The literature on AI and HAI from the Science Citation Index Expanded database of the Web of Science Core Collection was retrieved through computer searches, covering the period from January 1, 1994, to January 22, 2024. VOSviewer (v1.6.19) and CiteSpace (v6.1. R6) software were utilized for bibliometric analysis, creating knowledge maps that include research cooperation networks and keyword analysis. Results A total of 305 documents were included, and both the number of early publications and the frequency of citations were at a very low level for a long time before showing an annual increase trend after 2018. The United States had the most published documents among the 50 countries/regions from where they were sourced. Harvard University was the scientific research institution with the most publications, while Professor Evans HL of the Medical University of South Carolina was the scholar with the most publications. Research on AI in the field of HAI primarily focused on three aspects: AI algorithms and technologies, monitoring and prediction of HAI, and the accuracy of HAI diagnosis and prediction. These findings were based on keyword co-occurrence and clustering analysis. Conclusions A new phase of AI research in the subject of HAI has begun. More in-depth research can be done in the future for the hot direction, as there is still a gap between China’s academic accomplishments in this subject and the advanced level of the world.
ObjectiveTo analyze the correlation between the sarcopenia index (the ratio of creatinine to cystatin C, CCR) and the severity of chronic obstructive pulmonary disease (COPD), and evaluate its potential value as an indicator for auxiliary diagnosis of COPD and assessment of disease severity. Methods A total of 315 patients who underwent pulmonary function tests at Tongren People's Hospital from January 2022 to December 2022 were selected. Among them, 180 patients were diagnosed with COPD, and 135 patients were non-COPD. The COPD group was further divided into GOLD1 group (mild, n=36), GOLD2 group (moderate, n=70), and GOLD3 group (severe, n=74) according to Chronic Obstructive Lung Disease (GOLD) classification. The clinical data, laboratory indicators, and pulmonary function test results of the patients were collected. Correlation analysis was used to explore the correlation between CCR and clinical data. Binary logistic regression analysis was used to explore the influencing factors of COPD. A receiver operating characteristic curve was drawn, and the area under the curve (AUC) was calculated to evaluate the predictive value of CCR for COPD. ResultsAmong the 315 enrolled patients, the prevalence of COPD was 57.14% (180/315). The CCR level of the COPD patients was significantly lower than that of the non-COPD patients. The more severe the condition of COPD patients, the lower the CCR value. The results of Spearman correlation analysis showed that CCR was significantly positively correlated with diffusion capacity of the lung for carbon monoxide, forced expiratory volume in the first second (FEV1) as a percentage of predicted value, FEV1/forced vital capacity, albumin, eosinophils, endogenous creatinine clearance rate, low-density lipoprotein cholesterol, and haemoglobin, and significantly negatively correlated with C-reactive protein, D-dimer, age, and neutrophil to lymphocyte ratio (all P<0.05). Binary logistic regression showed that after adjusting for other relevant factors, CCR was found to be an independent risk factor for the occurrence of COPD (OR=0.902, 95%CI 0.879 - 0.925, P<0.05). When the CCR value was 77.450, the AUC was 0.841 (95%CI 0.798 - 0.885), with a sensitivity of 60.7% and a specificity of 96.1%.ConclusionCCR is closely related to the disease condition and its severity in patients with stable-phase COPD, and it is an independent influencing factor for the occurrence of COPD.
