Drug therapy is a common method to cure diseases and relieve symptoms.The value of patient-reported outcome(PRO)in evaluating the effect of drug therapy has been increasingly paid attention.The PRO scale is a standardized questionnaire,which can scientifically evaluate the experiences and subjective effects of drug use from a patient-centered perspective,and help patients and clinicians make more reasonable medication decisions.By reviewing and sorting out relevant global literature,this paper found that the content of the PRO scales relevant to drug therapy focused on five fields:"medication satisfaction""medication adherence""drug treatment burden""medication-related quality of life"and"adverse drug reactions".This paper described the basic information,measurement characteristics and application of common scales in recent years respectively,and summarized and analyzed the problems and enlightenment of scale development,aiming to provide theoretical reference for the selection,application and development of PRO scales.

Teaching clinics represent a unique form of outpatient training of resident physicians and serve as a crucial instrument and core component of standardized training of general practice residents. This article reviews the common model and innovations of teaching clinics of general practice in China, and analyzes their reported effectiveness in enhancing the capabilities of consultation of resident physicians, the teaching capabilities of general practice trainers, as well as satisfaction levels of involved participants. It outlines the challenges encountered in implementing teaching clinics, including inadequate teaching facilities and equipment, incomplete incentive system for teaching, difficulties in patient recruitment, and weaknesses in the teaching capabilities of trainers. To address these challenges, this article proposes corresponding strategies based on realistic needs, including the improvement of facilities and equipment in teaching clinics, the establishment of incentive systems for teaching clinics, the expansion of patient recruitment channels for teaching clinics, and the enhancement of training for trainers' teaching capabilities. This is envisaged to provide both theoretical bases and practical guidance for the effective execution and standardized development of teaching clinics in general practice residency training bases.

A method capable of retinal vessel segmentation and three-dimensional(3D)reconstruction is proposed for the early diagnosis of diabetic retinopathy.The 3D reconstruction can avoid the misjudgments of blood vessel length,curvature and branch angle after segmentation,which will affect the early diagnosis.IAAnet algorithm for retinal image segmentation combines traditional Unet with Inception V3,atrous spatial pyramid pooling and AttentionGates to reduce information loss and avoid over-fitting,thereby improving the network's ability to extract features.The projection reconstruction method is used to restore the 3D information of blood vessels,and supports the adjustments of brightness and contrast,so that doctors can better observe the real state of blood vessels.The proposed algorithm has an accuracy,recall rate,F1 score,intersection over union and area under ROC curve of 97.68%,96.07%,97.26%,92.79%and 94.00%,respectively.Compared with other networks,IAAnet algorithm exhibits higher segmentation accuracy,and can obtain more vascular information in 3D image after 3D projection reconstruction to assist in the early diagnosis.

OBJECTIVES: To achieve the ambitious goal of eliminating schistosome infections, the Chinese government has implemented diverse control strategies. This study explored the progress of the 2 most recent national schistosomiasis control programs in an endemic area along the Yangtze River in China. METHODS: We obtained village-level parasitological data from cross-sectional surveys combined with environmental data in Anhui Province, China from 1997 to 2015. A convolutional neural network (CNN) based on a hierarchical integro-difference equation (IDE) framework (i.e., CNN-IDE) was used to model spatio-temporal variations in schistosomiasis. Two traditional models were also constructed for comparison with 2 evaluation indicators: the mean-squared prediction error (MSPE) and continuous ranked probability score (CRPS). RESULTS: The CNN-IDE model was the optimal model, with the lowest overall average MSPE of 0.04 and the CRPS of 0.19. From 1997 to 2011, the prevalence exhibited a notable trend: it increased steadily until peaking at 1.6 per 1,000 in 2005, then gradually declined, stabilizing at a lower rate of approximately 0.6 per 1,000 in 2006, and approaching zero by 2011. During this period, noticeable geographic disparities in schistosomiasis prevalence were observed; high-risk areas were initially dispersed, followed by contraction. Predictions for the period 2012 to 2015 demonstrated a consistent and uniform decrease. CONCLUSIONS The proposed CNN-IDE model captured the intricate and evolving dynamics of schistosomiasis prevalence, offering a promising alternative for future risk modeling of the disease. The comprehensive strategy is expected to help diminish schistosomiasis infection, emphasizing the necessity to continue implementing this strategy.

Objective:To analyze the epidemiological characteristics and spatiotemporal characteristics of human brucellosis in Henan Province.Methods:Data of human brucellosis in Henan Province from 2005 to 2021 were collected through the China Disease Prevention and Control Information System, and a descriptive epidemiological method was used to analyze the epidemic profile of brucellosis in Henan Province and the three distribution characteristics. Global and local spatial autocorrelation were used to analyze the spatial distribution and the hot spots of brucellosis in Henan Province, respectively, and spatiotemporal scanning was used to analyze the spatiotemporal clustering regions of brucellosis in Henan Province.Results:A total of 39 862 brucellosis cases were reported in Henan Province from 2005 to 2021, with an average annual incidence of 2.44/100 000, and the number of cases showed an overall increasing trend each year (χ 2trend = 11 127.85, P = 0.001). The onset months were mainly concentrated from March to July, accounting for 59.00% (23 517/39 862), with May as the peak (5 478 cases). Cases of brucellosis were reported in 157 counties (cities, districts) of the province. The ratio of male to female was 2.52∶1.00 (28 542/11 320). Farmers were the main occupation, with 32 985 cases (82.75%). The age of onset was mainly 45 to 65 years old, with 20 226 cases (50.74%). The global spatial autocorrelation analysis showed that the global Moran's I was > 0, Z > 1.96, and P < 0.05 in all years except 2006 - 2008, showing spatial clustering. Further local spatial autocorrelation analysis was performed, and high-high and low-low clustering areas existed in 2012 - 2021 ( P < 0.01). Spatiotemporal scanning analysis showed that there was one spatiotemporal cluster in the high incidence area and two spatiotemporal clusters in the low incidence area. The high incidence cluster was centered in Neixiang County, covering 48 counties (cities, districts) including Song County and Ruzhou City, and the aggregation time was from 2014 to 2021. The two low incidence clusters were centered in Yongcheng City and Boai County, covering 58 and 18 counties (cities, districts), respectively, and the aggregation time was 2016 - 2021 and 2005 - 2012, respectively. Conclusion:The overall incidence of brucellosis in Henan Province is on the rise from 2005 to 2021, with middle-aged and elderly male farmers as the main affected population, and there are spatiotemporal clusters of brucellosis in Henan Province.

Objective:To explore the risk factors associated with the clinical progression of COVID-19 infection in kidney transplant(KT)recipients during the spread of Omicron variant and evaluate the effectiveness of anti-RNA virus agents in blocking the clinical progression of COVID-19 in these recipients.Methods:Retrospective analysis was conducted for the clinical data on COVID-19 infection in 232 KT recipients followed up from December 4, 2022 to January 31, 2023 at Department of Renal Transplantation, Organ Transplantation Center, Beijing Tsinghua Changgung Hospital.Inclusion criteria were age ≥18 years and stable kidney function without renal replacement therapy.The follow-up time was 30 days after COVID-19 infection.Based upon whether or not there was an infection of COVID-19, KT recipients were divided into two groups of infection(181 cases)and non-infection(51 cases). In infection group, recipients were further assigned into two sub-groups of disease progression(n=23)and stable(158 cases)according to whether or not there was a progression to severe disease.Various factors such as gender, age, body mass index(BMI), time after transplantation, underlying diseases(history of hypertension, diabetes mellitus, coronary heart disease & chronic lung disease), smoking history and dosing of anti-RNA virus agents were collected.Pearson χ2 test or Fisher's exact probability method was utilized for examining enumeration data while Mann-Whitney U test for measurement data.Univariate Logistic regression analysis was conducted and variables with P<0.05 were included into multifactorial Logistic regression analysis to identify independent risk factors for clinical progression of COVID-19 infection in KT recipients. Results:Among 232 KT recipients, infection rate of COVID-19 was 78.0%(181/232). The clinical classification was mild(112 cases), moderate(46 cases), severe(21 cases)and critical(n=2 cases). The severe rate was 12.7%(23/181). After infection with COVID-19, the proportion of KT recipients aged ≥65 years progressing from mild/moderate to severe was higher than those aged<65 years[38.5%(5/13)vs 10.7%(18/168)]. The difference was statistically significant( P=0.014); The proportion of diabetic KT recipients progressing from mild/moderate to severe was higher than those without diabetes[19.1%(13/68)vs 8.8%(10/113)]. The difference was statistically significant( P=0.045). Univariate Logistic analysis showed similar results.Age≥65 years( OR=5.21, 95% CI: 1.54-17.64, P=0.008)or diabetes mellitus( OR=2.44, 95% CI: 1.003-5.911, P=0.049)were the risk factors for COVID-19 infection recipients progressing from mild/moderate to severe disease.Multivariate Logistic analysis revealed that age ≥65 years( OR=4.03, 95% CI: 1.14-14.34, P=0.031)was an independent risk factor for COVID-19 infection recipients progressing from mild/moderate to severe.Among 181 cases of COVID-19 mild/medium infected patients, 18 cases received nimativir/ritonavir and 10 cases had azvudine for anti-RNA virus treatment.However, none of them progressed to severe; 153 cases did not use anti-RNA virus drugs and 23 cases(15.0%)progressed to severe disease and the difference was statistically significant( P=0.028). Among 23 severe cases, 14 cases received nirmatrelvir/ritonavir and 2 cases had azivudine for anti-RNA virus treatment.The former did not progress to critical disease while 1 case in the latter progressed to critical illness and death; 1/7 recipients not using anti-RNA virus agents progressed to critical illness and died while another 6 cases did not progress to critical illness. Conclusions:KT recipients aged ≥65 years or diabetes mellitus have a greater risk of progression from mild/moderate to severe disease after COVID-19 infection.Among them, age ≥65 years is an independent risk factor for patients with COVID-19 infection to progress from mild/moderate to severe.Antiviral treatment with nirmatrelvir/ritonavir or azivudine in KT recipients during mild/moderate stage of COVID-19 infection can significantly reduce the rate of severe disease.Treatment with Nirmatrelvir/Ritonavir is still effective in the severe stage.

Hand, foot and mouth disease (HFMD) is a widespread infectious disease mainly affecting children aged five and under. In China, the current epidemic situation of HFMD remains severe, with a persistently high and increasing incidence rate, causing a substantial disease burden. A monovalent vaccine against Enterovirus A71 (EV-A71), the most common cause of severe and fatal HFMD cases, has been available in China since 2016. Although randomized controlled trials established the vaccine's efficacy among research subjects, this may not reflect the impact under "real world" conditions in the general population. Therefore, based on a systematic literature search, this paper comprehensively reviewed and analyzed relevant studies based on real-world data and collected real-world evidence about the EV-A71 vaccine on the controlling HFMD incidence. It was found that the real-world study of the EV-A71 vaccine on HFMD was few; most were limited to a province or city; there is no study comprehensively considered other important influencing factors in addition to immunization, such as temperature, relative humidity, the age structure of the population, gross domestic product, etc. The progress of using real-world data to study the impact of the EV-A71 vaccine on HFMD reviewed in this study is helpful to have a clear and comprehensive understanding of the status quo and will provide guidance and reference for future studies to assess the short-term and long-term effects of EV-A71 vaccine and other vaccines.

ObjectiveTo compare the functional connectivity of brain networks in stroke patients with upper limb motor dysfunction during unilateral or bilateral upper limb movement using functional near-infrared spectroscopy (fNIRS). MethodsFrom April to June, 2021, 40 stroke patients with upper limb motor dysfunction in Department of Rehabilitation Medicine, Huashan Hospital, finished unilateral (affected) and bilateral upper limb movement. Eight-minute fNIRS data were collected before and after movement, and the functional activities and connectivity of prefrontal cortex (PFC), upper limb and hand functional area (H), primary sensory cortex (S1) were analyzed based on oxygenated hemoglobin. ResultsFunctional activities increased in affected H after unilateral task (t = -3.135, P < 0.05), while the functional connectivity increased between affected H and affected S1, affected H and unaffected S1, and affected S1 and unaffected S1 (|t| > 3.218, P < 0.05). There was no significant difference in the functional activities and connectivity of all the areas after bilateral upper limb task (|t| < 2.385, P > 0.05). The improvement of affected H was more after unilateral task than after bilateral upper limb task (t = 2.026, P < 0.05). ConclusionUnilateral affected upper limb training is more effective on functional activities and connectivity for corresponding brain regions than bilateral task.

Objective:To establish a sequencing method for the genome of severe fever with thrombocytopenia syndrome virus (SFTSV) based on next-generation sequencing (NGS).Methods:SFTSV RNA was extracted from serum samples of patients with severe fever with thrombocytopenia syndrome. SFTSV-specific primers were designed using Primer 5.0 software. A multiplex PCR method was constructed and used to amplify the nucleotide sequence of SFTSV. Whole-genome sequencing was performed on the NGS platform.Results:The whole genes of SFTSV isolates in 28 serum samples were amplified by the multiplex PCR with a coverage over 94%. Sequencing and phylogenetic analysis of those strains revealed that the predominant strains ( n=20) belonged to genotype A, followed by genotypes B ( n=4) and E ( n=3). Conclusions:A high-throughput sequencing method for SFTSV based on multiplex PCR was established in this study. This method was characterized by high specificity and good quality and could improve the sequencing efficiency.

Hand, foot, and mouth disease (HFMD) is a common childhood infectious disease caused by various enteroviruses. China has the most significant number of reported cases and deaths of HFMD over the globe. Understanding the epidemic laws of HFMD can provide a scientific basis for designing prevention and control measures. The dynamic transmission models focus on the transmission mechanism of infectious diseases. They can simulate the actual situation to study the epidemic rules of diseases by adding, deleting, and subdividing compartments. More researchers have paid attention to dynamic models because of their high flexibility. To carry out the dynamic model of the HFMD research more effectively, a comprehensive understanding of related research progress in this field is deeply needed. In this paper, based on various researchers' different research purposes of dynamic models, the research progress was classified and summarized, providing meaningful guidance for model construction methods and future research directions and references for dynamic modeling of other models of infectious diseases. It was found that most studies used the SIR dynamic model or its extended model (such as the SEIR model), and few studies contained a complex factor compartment. Some important epidemiological parameters (such as R0) were obtained by studying the HFMD cases in a specific region, simulating different intervention scenarios to evaluate the effect of measures, or revealing the future trend by model prediction. However, there is no dynamic model simultaneously considering age structure, population moving, seasonality and periodicity, and vaccination.