Intravitreal drug injection is a treatment for common chronic fundus diseases such as age-related macular degeneration and diabetic retinopathy. The “14th Five-Year” National Eye Health Plan (2021-2025) recommends focusing on fundus diseases and improve the management mode of patients with chronic eye diseases. Therefore, it is imperative to explore how to further optimize the service process of intravitreal injection under the premise of guaranteeing patients' medical safety, to promote medical service efficiency and standardized management level and improve the medical experience of patients. Based on the quality control standard of vitreous cavity injection for retinopathy in China, Chinese fundus disease and related field experts developed the present expert consensus on the establishment of a one-stop intravitreal injection model and the management of its organization after a serious, comprehensive, and complete discussion, focusing on a standardized operation process, quality control, and safety management, providing more references for establishing a suitable intravitreal injection management model for ophthalmology and promoting the development of diagnostic and treatment models for fundus disease in China.
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 report the short-term outcomes of a standardized, simplified and reproducible strategy of mitral valvuloplasty (MVP), which was focused on leaflet foldoplasty and anatomic anomalies of congenital mitral regurgitation (MR).MethodsConsecutive 74 patients who underwent MVP by our standardized strategy in our institution from 2016 to 2018 were included retrospectively. There were 30 males and 44 females with a median age of 18.5 (6-146) months and weight of 15.4 (7-51) kg.ResultsAnatomic anomalies of MR included: (1) subvalvular apparatus: 72 (97.3%) patients with mal-connected chordae tendineae, 31 (41.9%) with absent chordae tendineae and 14 (18.9%) with fused or dysplastic papillary muscle; (2) leaflet: 10 (13.5%) patients with cleft of anterior leaflet, 61 (82.4%) with leaflet prolapse including 56 (91.8%) with anterior leaflet prolapse; (3) annulus: 71 (95.9%) patients with annular dilatation. Leaflet foldoplasty was performed in 61 (82.4%) patients with leaflet prolapse. All patients were successfully discharged and 4 (5.4%) patients were with moderate MR. The follow-up time was 22.0 (9.1-41.8) months. During the follow-up period, 3 patients had moderate MR and 1 patient had reoperation for severe MR. All patients were in normal cardiac function with a mean left ventricular ejection fraction of 66.0%±6.1%. In addition, the mean left ventricular end-diastolic dimension was 31.8±6.0 mm, which was significant smaller than that before the operation (t=6.090, P<0.000 1).ConclusionThe standardized leaflet foldoplasty with resection of mal-connected chordae tendineae and posterior annuloplasty technique is safe and feasible with favorable short-term outcomes in MR patients.
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.
ObjectiveTo explore the application effect of standardized management on video-electroencephalogram (VEEG) monitoring.MethodsIn January 2018, a multidisciplinary standardized management team composed with doctors, technicians, and nurses was established. The standardized management plan for VEEG monitoring from outpatient, pre-hospital appointment, hospitalization and post-discharge follow-up was developed; the special quilt for epilepsy patients was designed and customized, braided for the patient instead of shaving head, standardized the work flow of the staff, standardized the health education of the patients and their families, and standardized the quality control of the implementation process. The standardized managemen effect carried out from January to December 2018 (after standardized managemen) was compared with the management effect from January to December 2017 (before standardized managemen).ResultsAfter standardized management, the average waiting time of patients decreased from (2.08±1.13) hours to (0.53±0.21) hours, and the average hospitalization days decreased from (6.63±2.54) days to (6.14±2.17) days. The pass rate of patient preparation increased from 63.14% to 90.09%. The capture rate of seizure onset increased from 73.37% to 97.08%. The accuracy of the record increased from 33.12% to 94.10%, the doctor’s satisfaction increased from 76.34±29.53 to 97.99±9.27, and the patient’s satisfaction increased from 90.04±18.97 to 99.03±6.51. The difference was statistically significant (P<0.05).ConclusionStandardization management is conducive to ensuring the homogeneity of clinical medical care, reducing the average waiting time and the average hospitalization days, improving the capture rate and accuracy of seizures, ensuring the quality of medical care and improving patient’s satisfaction.
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.