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.
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.
Objective To analyze the trend of standardized infection ratio (SIR) of surgical site infection (SSI) in small bowel surgery, objectively evaluate the effect of infection control, and provide evidence-based strategies for SSI prevention. Methods According to Centers for Disease Control and Prevention (CDC) / National Healthcare Safety Network (NHSN) surveillance definitions for specific types of infections and the monitoring methods of SSI events published by NHSN, the SSI and related risk factors of adult inpatients undergoing small bowel surgery in Yichang Central People’s Hospital between January 1, 2016 and December 31, 2022 were prospectively monitored. The inpatients undergoing small bowel surgery that meets the definition of International Classification of Diseases, 10th Revision Clinical Modifications/Procedure Coding System (ICD-10-CM/PCS), a multivariate binary logistic regression model was used to calculate the predicted infections in each year, the model included the risk factors for small bowel surgery in NHSN Complex Admission/Readmission (A/R) SSI Model with 7 years of surveillance data as the baseline. The SIR was calculated by dividing the number of observed SSI by the number of predicted SSI in each year. The Mid-P method was used to test the difference of SIR compared to the previous year, and the linear regression model was used to analyze the trend of SIR. Results A total of 2 436 patients were included, with 48 cases of deep incision infection and 49 cases of organ/cavity infection, and the overall incidence rate of infection was 4.0%. From 2016 to 2022, there were 151, 244, 222, 260, 320, 408, and 831 patients who underwent small bowel surgery, respectively. The Mid-P test showed that there was a significant difference in SIR from 2016 to 2019 (P<0.05), and there was an increase in 2018 compared with 2017. There was no significant difference in SIR compared to the previous year from 2019 to 2022 (P>0.05), and there was no significant difference in the trend of SIR of SSI (P=0.065). Conclusions From January 1, 2017, to December 31, 2022, advances have been made in SSI control practices of small bowel surgery in six consecutive years, except for 2018, but there was no annual downward trend from 2020 to 2022. The use of SIR provides a new approach for evaluating the quality of infection control.
Prosthetics and orthotics is an applied discipline which require students to have a good ability of clinical application. However, the present doctor-patient tension poses great difficulties in students’ clinical practice and study, and thus proposes higher requirements in the talent cultivation. Standardized patients (SP), as a newly established teaching mode, has been applied well in such areas as internal medicine, diagnostics and clinical care for about 20 years in this country. However, in prosthetics and orthotics, we hardly have any SP teaching experience in China. According to the experience of using SP in clinical medicine, this article discusses the necessity of SP in the teaching of prosthetics and orthotics, explains the advantages and disadvantages of SP teaching, and analyzes the feasibility of SP application in the teaching of prosthetics and orthotics under the present situation. Finally, this article concludes that using SP can improve students’ motivation, interest in learning and communication skills with patients. Therefore, it will become a research direction and development trend of prosthetics and orthotics.
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.
Traditional classifiers, such as support vector machine and Bayesian classifier, require data normalization for removing experimental batch effects, which limit their applications at the individual level. In this paper, we aim to build a classifier to distinguish lung cancer and non-cancer lung tissues (pneumonia and normal lung tissues). We identified gene pairs as signatures to build a classifier based on the within-sample relative expression orderings of gene pairs in a particular type of tissues (cancer or non-cancer). Using multiple independent datasets as the training data, including a total of 197 lung cancer cases and 189 non-cancer cases, we identified three gene pairs. Classifying a sample by the majority voting rule, the average accuracy reached 95.34% in the training data. Using multiple independent validation datasets, including a total of 251 lung cancer samples and 141 non-cancer samples without data normalization, the average accuracy was as high as 96.78%. The rank-based signature is robust against experimental batch effects and can be used to diagnose lung cancer using samples measured by different laboratories at the individual level.
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.
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.