Traditional Chinese medicine equipment plays an indispensable role in the prevention, diagnosis, treatment and rehabilitation of traditional Chinese medicine from the needs of people's life and health, and provides technical support for the simple, convenient, cheap and effective clinical practice of traditional Chinese medicine. The traditional Chinese medicine equipment industry has the development advantages of large demand gap, strong policy support and emerging technology empowerment. At the same time, there are also bottlenecks such as lagging standardization construction, weak industrial foundation, insufficient characteristics of traditional Chinese medicine and immature evidence-based evaluation research. The coming of the era of digital intelligence has brought new opportunities for the development and reform of the traditional Chinese medicine equipment industry. This paper provides development ideas for the transformation of traditional Chinese medicine equipment from traditional to modern from the aspects of standardization construction, digital intelligence industry upgrading, improvement of evidence-based evaluation system and in-depth international exchanges and cooperation.
ObjectiveTo summary the standardized management in research and applications of platelet derivatives for tissue regeneration.MethodsThe related literature about bottlenecks and standardized management of platelet derivatives in recent years was reviewed and analyzed.ResultsAlthough the platelet derivatives are increasingly used to accelerate the regenerative processes of injured joint, skin, nerve, ligament/tendon, and alveolar bone, etc., the large variation in preparation methods, diverse nomenclature, incomplete reporting system, and lack of quantitative and standardized management of the preparation process have caused uncertainty and incomparability of research and application results. In recent years, there has been a trend towards standardized research and management of platelet derivatives.ConclusionThe implementation of standardized research and quality management will contribute to promote the research and application of platelet derivatives in the field of tissue regeneration.
ObjectiveTo explore the feasibility of introducing student-standardized patients in the teaching reform of medical nursing course. MethodsWe chose four classes of nursing students from grade 2012 between September and December 2014 as the research subjects.Cluster sampling was used to choose two classes of 84 nursing students randomly as trial group, who received student-standardized patients in their practical learning; while the rest 2 classes of 83 students were chosen as control group, who received traditional teaching method.The course scores and the effect evaluation were compared between the two groups. ResultsThe basic knowledge test score of the trial group 31.28±4.81 was not significantly different from that of the control group 32.10±2.15(P > 0.05).The case analysis test score of the trial group 54.36±3.45 was significantly higher than that of the control group 43.12±1.37(P < 0.05).The communication ability, health education ability, skill operation ability and professional quality score of nursing students in the trial group were also significantly higher than those in the control group (P < 0.05). ConclusionIntroducing student-standardized patients in practical teaching of medical nursing can improve the teaching effect and students' comprehensive ability.
ObjectiveTo develop a standardized dataset for adverse drug reactions (ADR) of Chinese herbal formula granules (CHFG) to regulate the collection content of ADR, promote the standardization and normalization of ADR data collection for CHFG, and facilitate the sharing, integration, and analysis of adverse reaction data. MethodsWe used a combination of literature research, Delphi survey and consensus meeting. ResultsA Delphi survey questionnaire was constructed based on the results of literature research, including 6 domains and 76 items. After the Delphi survey and consensus meeting, a final CHFG adverse reaction dataset was developed, including 6 domains and 75 items. The six domains were patient details, suspected drugs, other treatments/concomitant medications, detailed information on the suspected adverse reaction, possible influencing factors (causes of the suspected adverse reaction), and details of the person reporting the suspected adverse reaction. Compared with the data collected by the National Adverse Drug Reaction Monitoring Center, this dataset introduced a new domain called "Possible influencing factors", which included several items such as irrational use of CHFG, toxic varieties of Chinese herbal medicine, storage and usage conditions, physical characteristics, processing methods, and patient diet. It also contained the information on Chinese medicine syndromes and other herbs in the prescription, and modified multiple items based on the particularities of formula granules. ConclusionThe development and application of this standardized dataset of ADR for CHFG can facilitate data collection, integration, and analysis, furthermore improve doctors' awareness of prescribing safely and enhance patient medication safety.
Objective To investigate the vaccination rate of Coronavirus Disease 2019 (COVID-19) vaccine in patients undergoing cardiac mechanical valve replacement and to evaluate its effect on international normalized ratio (INR) value. MethodsWe investigated 132 patients who had received cardiac mechanical valve replacement and followed up in the Department of Cardiovascular Surgery, West China Hospital of Sichuan University from May to October 2021. There were 51 males and 81 females aged 26-72 (53.01±9.51) years. ResultsThe vaccination coverage rate was 53.8%. Among the 61 unvaccinated patients, concerns about heart side-effects were the main reason. The average INR of the first review after vaccination was higher than that of the last review before vaccination, with a difference of 0.40±0.72 (P<0.001). ConclusionThe vaccination rate of patients after cardiac mechanical valve replacement is low. At the same time, COVID-19 vaccine may increase INR value, and it is suggested that patients should increase the frequency of review and adjust warfarin dosage after vaccination.
The number of clinical practice guidelines for traditional Chinese patent medicine has been increasing recently. However, the quality of guidelines was still low compared to international guidelines. Considering the characteristics of traditional Chinese patent medicine, we suggested the following items should be taken into account when developing traditional Chinese patent medicine guidelines: ensuring the standardized guidelines of traditional Chinese patent medicine research problem is scientific based on reliable evidence; identifying the common questions according to these research problems; understanding the strength of evidence and how to recommend correctly; inviting some experts in other fields to take part in the development of guidelines; paying more attention on the changes of disease burden and the impact of new methods and technologies when developing the guideline; paying more attention to the non-consensus opinions and evidence supporting these opinions; insisting on quality is the priority, while speed is secondary.
Objective To explore the efficacy and safety of different Wafarin anticoagulation intensities in preventing thromboembolism in patients with paroxysmal non-valvular atrial fibrillation (PAF). Methods The patients with PAF were enrolled and divided into four groups. The patients were treated by different Wafarin anticoagulation intensities. The values of the control of international normalized ratio (INR) were 1.3-1.6 in Group 1, 1.7-2.0 in Group 2, 2.0-2.5 in Group 3, and 2.6-3.0 in Group 4. Main destination events, secondary destination events, main bleeding events, secondary bleeding events, main events (main destination events + main bleeding events), secondary events (secondary destination events + secondary bleeding events), and total events (main events + secondary events) were observed and compared in the four groups, respectively. Relevance between events of thromboembolism as well as bleeding and INR was analyzed. Results A total of 868 patients with moderate-high risk PAF were enrolled, and 826 patients (167 cases in Group 1, 220 cases in Group 2, 215 cases in Group 3, and 224 in Group 4) were included in final analysis. The follow-up results showed that the increase of INR led to a reduction in the destination events (there were significant differences between Group 1 and Group 2, 3, and 4 with Plt;0.05), but the bleeding events tended to rise. In terms of the incidence of main events, secondary events and total events, Group 1 was higher than Group 2, 3, and 4 with significant differences (Plt;0.05), except that the main event incidence of Group 1 was not significantly different from that of Group 4 (Pgt;0.05). Conclusion For Chinese patients with PAF, anticoagulation intensities of Wafarin with INR 1.7-2.5 can reduce the destination events with no rise in bleeding events. The anticoagulation intensities within this extent are safe and effective
Objective To explore the application value of standardized patient (SP)-based teaching method in the teaching of medical history taking for international students. Methods During the autumn semester of 2017, 96 international medical students were randomly divided into two groups, with 48 students in the SP-based teaching group and 48 students in the conventional teaching group. The test scores of medical history taking in English in internal medical practice of the two groups were compared. The teaching feedback from the international students was collected and evaluated by online questionnaire survey. Results The scores of medical history taking examination in internal medical practice of the students using SP-based teaching method were higher than those of the students using conventional teaching method (86.5±9.7 vs.78.2±10.6), and the difference was statistically significant (t=3.983, P<0.001). According to the questionnaire analysis, in terms of whether the current teaching method could enhance learning interest, improve communication ability, promote clinical skills, train clinical thinking, and highlight humanistic care, students with positive views in the SP-based teaching group accounted for 92.86%, 97.62%, 85.71%, 90.48%, and 95.24%, respectively, while students with positive views in the conventional teaching group accounted for 90.00%, 87.50%, 82.50%, 77.50%, and 97.50%, respectively, and the differences were not statistically significant (P>0.05). Conclusions Well-trained SP has a good application value in clinical practice of internal medicine and diagnostics teaching for international students. SP-based teaching method has been accepted and supported by the majority of international medical students who have experienced it.
Recently, deep learning has achieved impressive results in medical image tasks. However, this method usually requires large-scale annotated data, and medical images are expensive to annotate, so it is a challenge to learn efficiently from the limited annotated data. Currently, the two commonly used methods are transfer learning and self-supervised learning. However, these two methods have been little studied in multimodal medical images, so this study proposes a contrastive learning method for multimodal medical images. The method takes images of different modalities of the same patient as positive samples, which effectively increases the number of positive samples in the training process and helps the model to fully learn the similarities and differences of lesions on images of different modalities, thus improving the model's understanding of medical images and diagnostic accuracy. The commonly used data augmentation methods are not suitable for multimodal images, so this paper proposes a domain adaptive denormalization method to transform the source domain images with the help of statistical information of the target domain. In this study, the method is validated with two different multimodal medical image classification tasks: in the microvascular infiltration recognition task, the method achieves an accuracy of (74.79 ± 0.74)% and an F1 score of (78.37 ± 1.94)%, which are improved as compared with other conventional learning methods; for the brain tumor pathology grading task, the method also achieves significant improvements. The results show that the method achieves good results on multimodal medical images and can provide a reference solution for pre-training multimodal medical images.