Objective To investigate the current situation of randomized controlled trials (RCTs) on compound salvia pellet (CSP) for angina pectoris and assess whether there is adequate evidence for clinical practice. Methods We collected all the published clinical studies on CSP for angina pectoris from 1994 to December 2005, and assessed each included report using the Jadad scale, the revised CONSORT statement and other self-edited items. Results We finally identified 115 RCTs. Among which, 1 scored 3 points, 6 scored 2 points, 106 scored 1 points and 2 socred 0 points. No RCT performed allocation concealment according to the CONSORT criteria, only 4 RCTs (3.5%) described the generation of the randomization sequence, among which 2 were quasi-randomized. No RCT provided randomization implementation,1 RCT (0.9%) carried out placebo control, 1 RCT (0.9%) reported endpoint, 9 RCTs (7.8%) adopted single blinding, 4 RCTs (3.5%) reported double blinding, 11 RCTs (9.6%) calculated statistical values, 2 RCTs (1.7%) provided the record of follow-up, 1 RCT (0.9%) reported negative outcome, 25 RCTs (21.8%) described adverse events, no RCT described how the sample size was estimated, and how an intent-to-treat (ITT) analysis and correlation analysis were reported, 1 RCT (0.9%) was multi-center, no RCT completed ethical approval and informed consent, 27 RCTs (23.5%) described syndrome type of TCM. Conclusion Currently, the methodology and reporting of studies on CSP for angina pectoris are not good enough to provide reliable evidence for clinical practice.
Good collateral circulation can effectively improve the prognosis of patients with severe stenosis or occlusion of cerebral blood supply artery. Studies have shown that CT angiography (CTA) can non-invasively and intuitively evaluate the degree of stenosis and collateral blood flow in diseased vessels. Rapid and accurate CTA collateral circulation score is of great significance for clinical decision-making and judging the prognosis of ischemic stroke. At present, there are many scoring scales based on CTA collateral circulation. This article will review the existing 7 CTA collateral circulation scoring scales, the advantages and disadvantages of clinical application and related research progress in predicting prognosis, aiming to provide a reference for clinicians to choose the collateral circulation score scale and the best treatment plan according to different situations.
[Abstract]Automatic and accurate segmentation of lung parenchyma is essential for assisted diagnosis of lung cancer. In recent years, researchers in the field of deep learning have proposed a number of improved lung parenchyma segmentation methods based on U-Net. However, the existing segmentation methods ignore the complementary fusion of semantic information in the feature map between different layers and fail to distinguish the importance of different spaces and channels in the feature map. To solve this problem, this paper proposes the double scale parallel attention (DSPA) network (DSPA-Net) architecture, and introduces the DSPA module and the atrous spatial pyramid pooling (ASPP) module in the “encoder-decoder” structure. Among them, the DSPA module aggregates the semantic information of feature maps of different levels while obtaining accurate space and channel information of feature map with the help of cooperative attention (CA). The ASPP module uses multiple parallel convolution kernels with different void rates to obtain feature maps containing multi-scale information under different receptive fields. The two modules address multi-scale information processing in feature maps of different levels and in feature maps of the same level, respectively. We conducted experimental verification on the Kaggle competition dataset. The experimental results prove that the network architecture has obvious advantages compared with the current mainstream segmentation network. The values of dice similarity coefficient (DSC) and intersection on union (IoU) reached 0.972 ± 0.002 and 0.945 ± 0.004, respectively. This paper achieves automatic and accurate segmentation of lung parenchyma and provides a reference for the application of attentional mechanisms and multi-scale information in the field of lung parenchyma segmentation.
ObjectiveBased on the localization of resource-based relative value scale (RBRVS) in H Hospital, to implement a surgical performance management model reform with the main surgery as the core, and to construct a more scientific and fair surgical performance distribution system. MethodsA surgical performance management model with the main surgery as the core was constructed. Relevant data such as RBRVS, diagnosis related groups (DRG), case mixed index (CMI), and surgical time of 65 915 inpatient elective surgeries in H Hospital in 2023 were collected and organized. Large sample historical data analysis was conducted using SPSS software, and the rationality of the optimized surgical performance management model was verified through key indicators. ResultsThe total coefficient of multiple orders for surgery in the 22 departments included in the study was highly correlated with the main surgery coefficient (γ>0.85), and the matching coefficients for each specialty were significantly different (P<0.001). The surgical performance management model with the main surgery as the core showed a significant improvement in the key indicators (doctor’s time resource investment and surgical risk and difficulty). ConclusionBy implementing a surgical performance management model with the main surgery as the core, we aim to strengthen the performance orientation that reflects the risks and difficulty of diagnosis and treatment, as well as the value of doctor services. This will guide clinical practice to return to the essence of medicine, support the development of discipline construction, and further stimulate the vitality and motivation of clinical work.
Objective To develop an innovative recognition algorithm that aids physicians in the identification of pulmonary nodules. MethodsPatients with pulmonary nodules who underwent thoracoscopic surgery at the Department of Thoracic Surgery, Affiliated Drum Tower Hospital of Nanjing University Medical School in December 2023, were enrolled in the study. Chest surface exploration data were collected at a rate of 60 frames per second and a resolution of 1 920×1 080. Frame images were saved at regular intervals for subsequent block processing. An algorithm database for lung nodule recognition was developed using the collected data. ResultsA total of 16 patients were enrolled, including 9 males and 7 females, with an average age of (54.9±14.9) years. In the optimized multi-topology convolutional network model, the test results demonstrated an accuracy rate of 94.39% for recognition tasks. Furthermore, the integration of micro-variation amplification technology into the convolutional network model enhanced the accuracy of lung nodule identification to 96.90%. A comprehensive evaluation of the performance of these two models yielded an overall recognition accuracy of 95.59%. Based on these findings, we conclude that the proposed network model is well-suited for the task of lung nodule recognition, with the convolutional network incorporating micro-variation amplification technology exhibiting superior accuracy. Conclusion Compared to traditional methods, our proposed technique significantly enhances the accuracy of lung nodule identification and localization, aiding surgeons in locating lung nodules during thoracoscopic surgery.
ObjectiveTo explore the feasibility to use pain scale and arterial oxygen partial pressure(PaO2)as screening internal fixation indications for patients with multiple rib fractures. MethodsClinical data of 48 patients with multiple rib fractures who were admitted to Shanghai Pudong Hospital from September 2010 to February 2013 were retrospectively analyzed. Visual analogue scale (VAS) was used for pain assessment. Twenty-four patients whose VAS was greater than or equal to 6 and PaO2 was less than 60 mm Hg 3 days after injury were chosen as the experimental group, including 16 males and 8 females with their age of 49.29±15.73 years. Another 24 patients whose VAS was less than or equal to 5 and PaO2 was greater than 60 mm Hg 3 days after injury were chosen as the control group, including 19 males and 5 females with their age of 48.63±13.49 years. Patients in both groups received rib internal fixation with steel plates. Three days and 1 week after surgery respectively, VAS and PaO2 were compared between the 2 groups. ResultsIn the experimental group, VAS 3 days after surgery was significantly lower than preoperative VAS (4.09±0.93 vs. 8.21±1.18, P < 0.05), and VAS 1 week after surgery was significantly lower than preoperative VAS (3.20±0.98 vs. 8.21±1.18, P < 0.05). In the control group, there was no statistical difference between VAS 3 days after surgery and preoperative VAS (P > 0.05), and there was no statistical difference between VAS 1 week after surgery and preoperative VAS (P > 0.05). Three days after surgery, PaO2 of the experimental group was significantly higher than preoperative PaO2 (61.00±3.47 mm Hg vs. 53.00±3.97 mm Hg, P < 0.05). There was no statistical difference between PaO2 3 days after surgery and preoperative PaO2 in the control group (66.71±5.15 mm Hg vs. 66.00±5.00 mm Hg, P > 0.05). Three days after surgery, pneumonia occurred in 4 patients in the experimental group and 2 patients in the control group (χ2=0.762, P > 0.05). Three days after surgery, pain scale reduction of the experimental group was significantly higher than that of the control group (4.13±1.45 vs. 0.00±0.42, P < 0.05). One week after surgery, pain scale reduction of the experimental group was significantly higher than that of the control group (5.04±1.23 vs. 0.08±0.28, P < 0.05). Three days after surgery, PaO2 increase of the experimental group was significantly higher than that of the control group (7.42±3.59 mm Hg vs. 0.21±0.98 mmHg, P < 0.05). ConclusionIt's reasonable and feasible to use pain scale greater than or equal to 6 and PaO2 less than 60 mm Hg as internal fixation indications for patients with multiple rib fractures.
Objective To evaluate the reliability and validity of IBS-QOL scale in irritable bowel syndrome (IBS) patients. Methods IBS-QOL scale was applied to survey the quality of life of 123 IBS patients. The split-half and internal consistency method were used to evaluate the reliability, and with the construct method to evaluate the validity. Results The split-half reliability was 0.86. Cronbach’s α-coefficient of all domains was between 0.71 and 0.89 except body image and food avoidance; In the correlation analysis, the correlations between items and its subscale structure were above 0.60 (except interference with activity), but there were no correlations between items and other subscale structure. Eight components from factorial analysis were in accordance with theoretical structure.The cumulative contribution rate was 72.7%. Conclusions The reliability and validity of IBS-QOL scale are acceptable. It might be useful for us to assess the QOL of IBS patients in China.
According to the characteristics of the diversified employment system of general hospitals, we have independently developed a set of personnel information platforms suitable for our hospital's operating model and work-flow which achieved establishing a novel big data management model for big personnel. After a year of trial operation, the big data management of personnel has completely covered the target management and requirements of the hospital, covering basic quality, public services, teaching work, medical work, scientific research, and other dimensions of information, which helped the hospital constructed a systematically networked and full-coveraged, personnel information system with strong early warning functions and incentives, enabling the reasonable utilization rate of human capital and continuous improvement of the quality of talent training.
Telerehabilitation is a new rehabilitation technology, using internet to provide rehabilitation services for patients in remote areas or unaccessible to rehabilitation. Longshi Ability of Daily Life scale is fomulated based on Chinese living customs. The assessment content of the scale can clearly reflect the needs of the service object, and the assessment result can directly reflect the ability level of the assessment object. The scale has been put into use online on the mobile internet and amassed a certain amount of big data, which is of great significance to the adjustment of rehabilitation treatment, the continuity of nursing guidance, and the assurance of adequate social support and disability benefits for the disabled. In this paper, the application of Longshi Ability of Daily Life scale in telerehabilitation is described.
This study aims to address the limitations in gesture recognition caused by the susceptibility of temporal and frequency domain feature extraction from surface electromyography signals, as well as the low recognition rates of conventional classifiers. A novel gesture recognition approach was proposed, which transformed surface electromyography signals into grayscale images and employed convolutional neural networks as classifiers. The method began by segmenting the active portions of the surface electromyography signals using an energy threshold approach. Temporal voltage values were then processed through linear scaling and power transformations to generate grayscale images for convolutional neural network input. Subsequently, a multi-view convolutional neural network model was constructed, utilizing asymmetric convolutional kernels of sizes 1 × n and 3 × n within the same layer to enhance the representation capability of surface electromyography signals. Experimental results showed that the proposed method achieved recognition accuracies of 98.11% for 13 gestures and 98.75% for 12 multi-finger movements, significantly outperforming existing machine learning approaches. The proposed gesture recognition method, based on surface electromyography grayscale images and multi-view convolutional neural networks, demonstrates simplicity and efficiency, substantially improving recognition accuracy and exhibiting strong potential for practical applications.