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.
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.
OBJECTIVE To inquire the indications, contraindications, and operative methods of the treatment of spastic cerebral palsy with selective posterior rhizotomy (SPR), and to improve the therapeutic results and decrease the incidence rate of complications. METHODS The documents about SPR were extensively consulted, and the mechanisms, indications, contraindications, operative methods, muscular tension changes and complications after operation were reviewed. RESULTS With the methods of SPR, I alpha fibers of afferent nerve were selectively amputated, reflex circle of spinal cord was locked, and the muscular tension was decreased, so myospasm was removed. The results after operation and incidence rate of complications were closely related to the indications. The therapeutic results were better when the percent of spinal nerve rhizotomy was less than 50%. CONCLUSION It is a good method for the treatment of spastic cerebral palsy.
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.
ObjectiveTo investigate the current status and influencing factors of self-care behavior of non-dialysis patients with chronic kidney disease (CKD).MethodsA total of 336 patients with CKD were investigated by a general data questionnaire, the CKD Self-care Behavior Scale, Social Support Scale, Generalized Anxiety Self-assessment Scale, and 9-item Patients Health Questionnaire through WeChat platform, and the influencing factors of self-care behavior were explored by binary logistic regression analysis.ResultsThe median score of self-care behavior of CKD patients without dialysis was 60, and the patients with median and high level of self-care behavior accounted for 97.6%. The score of self-care behavior of CKD patients without dialysis was positively correlated with the total score of social support (r=0.210, P<0.001), objective support score (r=0.127, P=0.020), subjective support score (r=0.195, P<0.001), and social support utilization score (r=0.164, P=0.002), and negatively correlated with the anxiety score (r=–0.132, P=0.015), depression score (r=–0.230, P<0.001), body mass index (r=–0.181, P=0.001), and systolic blood pressure (r=–0.168, P<0.001). The results of binary logistic regression analysis showed that the influencing factors of non-dialysis CKD patients’ self-care behavior were gender [(odds ratio, OR)=2.179, 95% confidence interval, CI (1.134, 4.187), P=0.019], systolic blood pressure [OR=0.967, 95%CI (0.947, 0.987), P=0.002], and depression score [OR=0.844, 95%CI (0.765, 0.931), P=0.001].ConclusionsThe self-care behavior of CKD patients without dialysis is at the median and high level. Healthcare workers can improve the self-care behavior of CKD patients by reducing their negative emotions such as depression, and guiding patients to carry out blood pressure management, to delay the progress of the disease.
ObjectiveTo explore the application and effect of clinical nursing pathway based on information-knowledge-attitude-practice (IKPA) theory in percutaneous renal needle biopsy.MethodsThis is a historical control study. A total of 460 patients who underwent percutaneous renal biopsy in West China Hospital of Sichuan University between April and December 2020 were prospectively recruited as the pathway group, and a clinical nursing pathway based on IKAP theory was implemented. By contrast, the data of 617 patients who underwent percutaneous renal biopsy and received routine care in the same hospital between April and December 2019 were retrospectively collected as the control group. The length of hospital stay, hospitalization expenses, the incidences of postoperative complications (macroscopic haematuria, perirenal hematoma, and acute urinary retention), the incidence of postoperative postural hypotension, and the management enrollment rate of chronic kidney disease patients were compared between the two groups.ResultsThe length of hospital stay [median (lower quartile, upper quartile): 8 (7, 11) vs. 8 (7, 12) d] and the hospitalization expenses [median (lower quartile, upper quartile): 7380.50 (6401.86, 8789.21) vs. 8167.00 (6816.50, 10044.50) yuan] were less in the pathway group than those in the control group, the incidences of postoperative macroscopic haematuria (1.52% vs. 6.97%) and perirenal hematoma (2.61% vs. 5.02%) were lower in the pathway group than those in the control group, the management enrollment rate of chronic kidney disease patients was higher in the pathway group than that in the control group (26.09% vs. 6.16%), and the differences between the two groups were statistically significant (P<0.05). The differences in the incidences of acute urinary retention (8.26% vs. 11.18%) and postoperative postural hypotension (0.00% vs. 0.81%) between the two groups were not statistically significant (P>0.05).ConclusionThe application of clinical nursing pathway in percutaneous renal needle biopsy can effectively reduce the length of hospital stay and hospitalization expenses, and improve the management enrollment rate of chronic kidney disease patients.
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.
