Objective Can we successfully make diagnosis, treatment and prevention in patients with SARS in the economically undeveloped region? Methods we retrospectively reviewed the whole process of diagnosis, treatment and prevention in three patients with SARS. Results All the three patients recovered with no socomial infection in medical staff and no second-generation patients. Conclusion In the economically undeveloped region, if one attached importance to epidemic crisis inwardly and put all the steps into effect really, and if one took four early steps, started the contingent mechanism up urgently, worked can onically and treated patients actively when the epidemic crisis broke out, the outbreak could be overcome successfully with little cost.
ObjectiveTo analyze the possible injury mechanisms in patients with dorsal avulsion fracture of the capitellum combined with medial or posterior medial dislocation of the elbow joint, and to discuss their treatment and prognosis. Methods Retrospective analysis was made on the clinical data of 4 patients with dorsal avulsion fracture of the capitellum combined with medial or posterior medial dislocation of the elbow joint admitted between September 2014 and September 2020, including 3 males and 1 female with an average age of 20.7 years (range, 13-32 years). There were 2 cases of dorsal avulsion fracture of the capitellum combined with medial dislocation of the elbow joint and 2 cases of dorsal avulsion fracture of the capitellum and anterior medial fracture of the coronoid process combined with posterior medial subluxation of the elbow joint. Closed reduction was performed in 3 patients with fresh fracture combined with dislocation, then 2 cases were fixed with tension band and 1 case was fixed with tension band combined with Acumed coronoid anatomic plate. And in patient with old fracture nonunion, the coronoid process was fixed with 1 screw, then the humeral sclerotic bone mass was removed, and finally the lateral collateral ligament was repaired and a hinged external fixator was added. Results All the incisions healed by first intention without early complications such as infection or peripheral nerve injury. The 4 patients were followed up 13-30 months (mean, 20.8 months). The fractures all healed with a healing time of 70-90 days (mean, 79.5 days). At 6 months after operation, heterotopic ossification was seen in the posterior aspect of the right elbow joint in 1 case, and the alkaline phosphatase level was normal (67 U/L); the tension band was removed to clear the heterotopic ossification and the elbow joint was released. The rest of the patients had no heterotopic ossification. At last follow-up, all patients had good functional recovery of the elbow joint, with a Mayo score of 85-100 (mean, 92.5), and the excellent and good rate was 100%. The elbow flexion range of motion was 120°-135°, the extension range of motion was 10°-20°, and the pronation and supination range of motion were all 75°-85°. Conclusion Dorsal avulsion fractures of the capitellum combined with medial or posterior medial dislocation of the elbow may be due to simple varus stress. If an anteromedial coronoid facet fracture also occurs, it may be for the varus posteromedial rotatory instability, which is the opposite mechanism to that of an Osborne-Cotterill lesion. For fresh dorsal avulsion fractures of the capitellum, tension band fixation can be used with good results.
Objective To understand the role and mechanism of tumor associated macrophages (TAM) on the occurrence and development of primary liver cancer, and its application in the treatment. MethodThe related literatures about the researches of relation between TAM and primary liver cancer at home and abroad in recent years were collected, sorted out, and made a review. Results Under different stimulating factors, TAM could be polarized to anti-tumor type 1 TAMs or tumor-promoting type 2 TAMs, and type 2 TAMs was the main part in the tumor microenvironment. Through some mechanisms such as vascularity-promoting, invasion-promoting, and immunosuppression to promote the occurrence and development of tumors, and potential treatment plans for primary liver cancer could be found by targeting TAM from different perspectives. Conclusion TAM has a wide range of effects on primary liver cancer, and their mechanisms are complex, understanding the relation between them and make an effective control of TAM could provide new therapeutic ideas and plans for clinical treatment of primary liver cancer.
ObjectivesTo summarize and compare the operative mechanisms of the most representative comprehensive clinical practice guideline (CPG) databases worldwide, so as to provide references for establishing and managing Chinese CPG database.MethodsCPG databases were collected worldwide by discussing with experts in the guideline and database fields. Studies on guideline databases were searched in PubMed and CNKI to further collect CPG databases mentioned in these studies. Representative comprehensive guideline databases were finally selected by consulting relevant guideline experts. The institutions’ names of establishing and managing CPG databases, funding sources, human resources, aims, quality control measures (including CPG inclusion and updating criteria) were extracted and summarized. Databases were divided into government-led, society-led, and enterprise-led models. A descriptive analysis was conducted.ResultsThere were four government-led databases, four society-led databases and merely one enterprise-led database. The institutions of establishing CPG databases were same as the institutions of managing databases in the seven databases. All CPG databases had set up offices, seven of which were located in the capital. Most databases’ funds came from the government. Four databases implemented board management. According to the division of functions, members involved in establishing and managing CPG databases mainly included leaders, expert teams, managerial personnel, secretaries, web developers, and patient representatives. Criteria for inclusion of CPG were relevant to the purpose of establishing databases. Most databases required guidelines that had be updated within three to five years.ConclusionsThis study provides comprehensive information on operative mechanism of different CPG databases which can assist guideline database builders to optimize their operative mechanism.
To address the challenges in blood cell recognition caused by diverse morphology, dense distribution, and the abundance of small target information, this paper proposes a blood cell detection algorithm - the "You Only Look Once" model based on hybrid mixing attention and deep over-parameters (HADO-YOLO). First, a hybrid attention mechanism is introduced into the backbone network to enhance the model's sensitivity to detailed features. Second, the standard convolution layers with downsampling in the neck network are replaced with deep over-parameterized convolutions to expand the receptive field and improve feature representation. Finally, the detection head is decoupled to enhance the model's robustness for detecting abnormal cells. Experimental results on the Blood Cell Counting Dataset (BCCD) demonstrate that the HADO-YOLO algorithm achieves a mean average precision of 90.2% and a precision of 93.8%, outperforming the baseline YOLO model. Compared with existing blood cell detection methods, the proposed algorithm achieves state-of-the-art detection performance. In conclusion, HADO-YOLO offers a more efficient and accurate solution for identifying various types of blood cells, providing valuable technical support for future clinical diagnostic applications.
The high frequency oscillatory ventilation (HFOV) is characterized with low tidal volume and low mean airway pressure, and can well support the breathing of the patients with respiratory diseases. Since the HFOV was proposed, it has been widely concerned by medical and scientific researchers. About the HFOV, this paper discussed its current research status and prospected its future development in technologies. The research status of ventilation model, mechanisms and ventilation mode were introduced in detail. In the next years, the technologies in developing HFOV will be focused on: to develop the branched high-order nonlinear or volume-depended resistance-inertance-compliance (RIC) ventilation model, to fully understand the mechanisms of HFOV and to achieve the noninvasive HFOV. The development in technologies of HFOV will be beneficial to the patients with respiratory diseases who failed with conventional mechanical ventilation as one of considerable ventilation methods.
Fatigue driving is one of the leading causes of traffic accidents, posing a significant threat to drivers and road safety. Most existing methods focus on studying whole-brain multi-channel electroencephalogram (EEG) signals, which involve a large number of channels, complex data processing, and cumbersome wearable devices. To address this issue, this paper proposes a fatigue detection method based on frontal EEG signals and constructs a fatigue driving detection model using an asymptotic hierarchical fusion network. The model employed a hierarchical fusion strategy, integrating an attention mechanism module into the multi-level convolutional module. By utilizing both cross-attention and self-attention mechanisms, it effectively fused the hierarchical semantic features of power spectral density (PSD) and differential entropy (DE), enhancing the learning of feature dependencies and interactions. Experimental validation was conducted on the public SEED-VIG dataset. The proposed model achieved an accuracy of 89.80% using only four frontal EEG channels. Comparative experiments with existing methods demonstrate that the proposed model achieves high accuracy and superior practicality, providing valuable technical support for fatigue driving monitoring and prevention.
ObjectiveTo compare tacrolumus (FK506) with cyclosporine A (CsA) in clinical application to organ transplantation.MethodsThe literature in recent years has been reviewed and compared. ResultsFK506 was a powerful immunosuppression with a mechanism of action similar to that of CsA, but significantly superiori to CsA in terms of prophylaxis and treatment of allograft acute rejection, delay of chronic rejection, and withdrawal of steroid in early period. The cardiovascular mortality and chronic graft nephropathy (CGN),such as hypertension and hyperlipidemia were less frequently seen in FK506treated patients and FK506 also had an acceptable safety profile, including a low incidence of hypertrichosis,gingival hyperplasia and infections.However, CsA had been showed a better result in prevention of posttransplantation diabetes mellitus (PTDM ) and more economic agent than FK506. Pharmacokinetic studies showed CsA in the form of Sandimmun Neoral showed less inter an intrapatient variability than FK506.Meanwhile, the combination of MMF and FK506 or CsA has been proved effectively with excellent graft and patients survival. Conclusion FK506 and CsA are safe and effective long term maintenance immunosuppressive agents in organ transplantation with wonderful prospect.
Objective
To discuss the role of heparan sulfate (HS) in bone formation and bone remodeling and summarize the research progress in the osteogenic mechanism of HS.
Methods
The domestic and abroad related literature about HS acting on osteoblast cell line in vitro, HS and HS composite scaffold materials acting on the ani-mal bone defect models, and the effect of HS proteoglycans on bone development were summarized and analyzed.
Results
Many growth factors involved in fracture healing especially heparin-binding growth factors, such as fibroblast growth factors, bone morphogenetic protein, and transforming growth factor β, are connected noncovalently with long HS chains. HS proteoglycans protect these proteins from protease degradation and are directly involved in the regulation of growth factors signaling and bone cell function. HS can promote the differentiation of stem cells into osteoblasts and enhance the differentiation of osteoblasts. In bone matrix, HS plays a significant role in promoting the formation, maintaining the stability, and accelerating the mineralization.
Conclusion
The osteogenesis of HS is pronounced. HS is likely to become the clinical treatment measures of fracture nonunion or delayed union, and is expected to provide more choices for bone tissue engineering with identification of its long-term safety.
Parkinson’s disease patients have early vocal cord damage, and their voiceprint characteristics differ significantly from those of healthy individuals, which can be used to identify Parkinson's disease. However, the samples of the voiceprint dataset of Parkinson's disease patients are insufficient, so this paper proposes a double self-attention deep convolutional generative adversarial network model for sample enhancement to generate high-resolution spectrograms, based on which deep learning is used to recognize Parkinson’s disease. This model improves the texture clarity of samples by increasing network depth and combining gradient penalty and spectral normalization techniques, and a family of pure convolutional neural networks (ConvNeXt) classification network based on Transfer learning is constructed to extract voiceprint features and classify them, which improves the accuracy of Parkinson’s disease recognition. The validation experiments of the effectiveness of this paper’s algorithm are carried out on the Parkinson’s disease speech dataset. Compared with the pre-sample enhancement, the clarity of the samples generated by the proposed model in this paper as well as the Fréchet inception distance (FID) are improved, and the network model in this paper is able to achieve an accuracy of 98.8%. The results of this paper show that the Parkinson’s disease recognition algorithm based on double self-attention deep convolutional generative adversarial network sample enhancement can accurately distinguish between healthy individuals and Parkinson’s disease patients, which helps to solve the problem of insufficient samples for early recognition of voiceprint data in Parkinson’s disease. In summary, the method effectively improves the classification accuracy of small-sample Parkinson's disease speech dataset and provides an effective solution idea for early Parkinson's disease speech diagnosis.
