Objective To investigate the status of familial aggregation of Helicobacter pylori (Hp) infection in Jinniu District, Chengdu, and analyze its risk factors so as to provide a basis for developing prevention and control strategies of family aggregation of Hp infection. Methods A total of 172 subjects in the Second Affiliated Hospital of Chengdu Medical College · 416 Hospital of Nuclear Industry from January 2022 to January 2023 were selected as the research subjects. All subjects underwent 13C-urea breath test (13C-UBT) to diagnose whether there was Hp infection. Analyze the current situation of family aggregation of Hp infection in the region, collect general data of survey subjects, analyze the relevant factors affecting Hp family aggregation infection, and develop prevention and control strategies based on this. Results A total of 242 people from 97 households were surveyed, and the Hp family aggregation rate was 29.33%. Univariate analysis showed that there were statistically significant differences in family aggregation of Hp infection in terms of different age groups (χ²=9.719, P=0.008), marital status (χ²=8.496, P=0.014), occupations (χ²=19.462, P<0.001), frequencies of dining out (χ²=5.457, P=0.019), previous Hp test results (χ² =4.131, P=0.042) and test results after treatment (χ²=12.000, P=0.001), with statistical significance (P<0.05). Multivariate logistic regression analysis showed that the frequency of dining out 2 days or more per week and a positive Hp test results in the past were risk factors for family aggregation of Hp infection, while the occupation of teachers/medical staff/management/technology personnel and a negative Hp results after treatment were protective factors (P<0.05). Conclusion Family aggregation of Hp infection is related to family members' occupation, frequency of dining out, previous Hp test results and Hp test results after eradication, which deserves attention in clinical practice.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

A 2-year-and-10-month-old boy presented with multiple masses in the neck and chest for over 3 months.The child had a history of unstable walking,with hard lumps visible at the injury sites after falls,which would resolve on their own.Following a recent injury,a mass was discovered in the posterior neck,protruding above the skin surface and accompanied by limited joint movement.Gradually,new masses were found on the left side of the neck,back near the scapular lower angle,in the scapular fossa,and along the left axillary midline.Magnetic resonance imaging examination showed diffuse low signal on T1-weighted images and high signal on T2-weighted images in the bilateral posterior neck and back muscles two months ago.A CT scan revealed muscle swelling,with areas of patchy low density and multiple nodular high-density ossifications within some muscles.Genetic testing results indicated a mutation in the ACVR1 gene,leading to the final diagnosis of progressive ossifying myositis in this patient.This article summarizes the etiology,diagnosis,and treatment of one case of progressive ossifying myositis,providing a reference for clinicians.

Anti-seizure medications (ASMs) are the main therapy for epilepsy.There are many kinds of ASMs with complex mechanism of action, so it is difficult for pharmacists to examine prescriptions.This paper put forward some suggestions on the indications, dosage forms/routes of administration, appropriateness of usage and dosage, combined medication and drug interaction, long-term prescription review, individual differences in pathophysiology of children, and drug selection when complicated with common epilepsy, for the reference of doctors and pharmacists.

Objective To investigate the value of multi-phase MRI-based radiomics machine learning models in differentiating small renal cell carcinoma(sRCC)from fat-poor renal angiomyolipoma(fp-AML).Methods 79 cases of sRCCs and 35 cases of fp-AMLs(diameter≤4 cm)which were confirmed by pathology were retrospectively analyzed.The volume of interest(VOI)of the total tumor was manually delineated on the images of T2WI(T2),unenhanced phase(UP),corticomedullary phase(CMP)and nephrographic phase(NP)and then the radiomics of the VOIs were extracted respectively.The training set and the test set were set according to the ratio of 7∶3.The t-test,maximal relevance and minimal redundancy(mRMR)and the least absolute shrinkage and selection operator(LASSO)were used to select the radiomics features.The selected features were used to build classification models with logistic regression(LR)and support vector machine(SVM).The receiver operating characteristic(ROC)curve was used to evaluate the classification performances of the models.Results There were 4,12,3,11 and 15 optimal features obtained from T2、UP、CMP、NP and the combined four phases,respectively.The radiomics features based on NP or the combined four phases with LR model performed best,AUCs were respectively 0.956,0.986 in the training set and both were 0.881 in the test set.Conclusion The multi-phase MRI-based radiomics machine learning model has favorable diagnostic performance in differentiating sRCC from fp-AML.

OBJECTIVES: To investigate the clinical treatment outcomes and the changes of the outcomes over time in extremely preterm twins in Guangdong Province, China. METHODS: A retrospective analysis was performed for 269 pairs of extremely preterm twins with a gestational age of <28 weeks who were admitted to the department of neonatology in 26 grade A tertiary hospitals in Guangdong Province from January 2008 to December 2017. According to the admission time, they were divided into two groups: 2008-2012 and 2013-2017. Besides, each pair of twins was divided into the heavier infant and the lighter infant subgroups according to birth weight. The perinatal data of mothers and hospitalization data of neonates were collected. The survival rate of twins and the incidence rate of complications were compared between the 2008-2012 and 2013-2017 groups. RESULTS: Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of severe asphyxia and smaller head circumference at birth (P<0.05). The mortality rates of both of the twins, the heavier infant of the twins, and the lighter infant of the twins were lower in the 2013-2017 group compared with the 2008-2012 group (P<0.05). Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of pulmonary hemorrhage, patent ductus arteriosus (PDA), periventricular-intraventricular hemorrhage (P-IVH), and neonatal respiratory distress syndrome (NRDS) and a higher incidence rate of bronchopulmonary dysplasia (P<0.05). CONCLUSIONS There is a significant increase in the survival rate over time in extremely preterm twins with a gestational age of <28 weeks in the 26 grade A tertiary hospitals in Guangdong Province. The incidences of severe asphyxia, pulmonary hemorrhage, PDA, P-IVH, and NRDS decrease in both the heavier and lighter infants of the twins, but the incidence of bronchopulmonary dysplasia increases. With the improvement of diagnosis and treatment, the multidisciplinary collaboration between different fields of fetal medicine including prenatal diagnosis, obstetrics, and neonatology is needed in the future to jointly develop management strategies for twin pregnancy.
Bronchopulmonary Dysplasia/epidemiology* ; Female ; Gestational Age ; Humans ; Infant ; Infant, Extremely Premature ; Infant, Newborn ; Pregnancy ; Respiratory Distress Syndrome, Newborn/epidemiology* ; Retrospective Studies ; Treatment Outcome

Objective:To explore the feasibility and safety of the clinical application of the diagnosis and treatment mode combining rapid frozen pathological examination of prostate biopsy tissue with radical prostatectomy.Methods:Suspected prostate cancer patients with PSA>10 ng/ml and PI-RADS score ≥4 in, Northern Jiangsu People's Hospital from April to September 2021 were collected. The included patients underwent mpMRI/TRUS image fusion-guided transperineal prostate targeted biopsy with 16G biopsy needle, 2-3 needles for biopsy, and rapid frozen pathological examination. Robot-assisted laparoscopic radical prostatectomy (RALP) was performed immediately for patients with prostate cancer with rapid freezing pathology. For undiagnosed prostate cancer, 18G biopsy needle for prostate targeted + systematic biopsy were used, 18-22 needles for systematic biopsy, and routine pathological examination. The baseline data, frozen pathological results, perioperative conditions, pathological results and follow-up data of all patients were collected.Results:Eleven patients were included in the study, the mean age of the patients was 69.9(66-73) years, the mean BMI was 22.8(19-26) kg/m 2, the mean PSA was 23.2(14.25-32.00), the mean prostate volume was 45(32-52) ml, mean PSAD 0.54(0.33-0.75). PI-RADS score was 4 in 3 cases and 5 in 8 cases; digital rectal examination was positive in 5 cases. All 11 cases underwent rapid freezing and the pathological results showed that: 9 cases were prostate adenocarcinoma, and RALP was performed immediately. The operation time was 111.5(96-126) min, the intraoperative blood loss was 78.9(55-105) ml, and the postoperative extubation time was 4.3(3.5-5.0) days, postoperative hospital stay 5.8(5.0-6.5) days. Postoperative pathology showed that Gleason score 3+ 4=7 in 1 case, 4+ 3=7 in 3 cases, 8 points in 4 cases, and 10 points in 1 case; 3 cases had positive resection margins, and 1 case had seminal vesicle invasion, the average number of dissected lymph nodes was 10.9 (8.5-14.0), and there was no tumor metastasis. Pathological T staging included 2 cases of T 2b stage, 5 cases of T 2c stage, 1 case of T 3a stage, and 1 case of T 3b stage. Two patients were undiagnosed by rapid freezing pathology, of which one was prostate adenocarcinoma with a Gleason score of 4+ 3=7, and then received RALP; the other one was prostate inflammation. 11 patients were followed up; the postoperative follow-up time was 3-7 months, with an average of 5.2 months. Among the 10 patients who underwent RALP, 8 patients recovered urinary continence 2 weeks after surgery, and all recovered within 2 months after surgery. Three patients with positive surgical margins were given regular androgen deprivation therapy in the second week after surgery. PSA did not drop below 0.1 ng/ml in patients with positive margins and seminal vesicle invasion 3 months after surgery. No complications of Clavien grade Ⅰ or higher occurred after operation and during follow-up. Conclusions:For patients with high suspicion of prostate cancer, rapid frozen pathological examination of prostate biopsy tissue is performed. RALP is performed immediately for patients with prostate cancer. The results show that this diagnosis and treatment model could be safe and feasible.

Collecting and summarizing human use experience(HUE) data, forming high-quality data and evidences that can be used for evaluation are the key links of HUE research on traditional Chinese medicine(TCM). The collection, collation and summary of human experience data were discussed in this paper. It is pointed out that the collection of HUE should be focus on the source of prescription of new traditional Chinese medicines, and be summarized based on dialectical thinking, experience in medication, characte-ristics of prescription and clinical application. The collected contents include prescription, process, clinical location and applicable population, efficacy data and safety data, etc. The methods include interview, clinical data summary and data mining. When the data formed based on HUE information is used as drug registration information, it is necessary to ensure that the data source is legal and compliant, and the ownership of intellectual property is clear.Data sources should meet the requirements of medical ethics. To avoid conflict of interest, data analysis should be conducted by an independent third party. It is necessary to develop the quality control measures of HUE data to ensure the data traceability, integrity, consistency and accuracy, and avoid data bias.The data of HUE should include the key data such as accurate clinical location and applicable population, recognized clinical efficacy and safety.After the formation of HUE, the statistical analysis plan of empirical data of human use should be formulated. Through strict data processing, statistical analysis and clinical interpretation, HUE can be produced for evaluation.
Data Collection ; Drugs, Chinese Herbal ; Humans ; Medicine, Chinese Traditional ; Prescriptions ; Quality Control

Real world study(RWS) refers to the process of collecting real world data related to the health of research subjects in the real world environment for pre-set clinical problems and obtaining the status of drug use and potential benefits/risks through analysis. The data are derived from the hospital information system(HIS), medical insurance system, disease registration system, adverse drug reaction monitoring system, etc. Human use experience of traditional Chinese medicine(TCM) is a new concept put forward by experts after summarizing the problems existing in clinical trials of new TCM drugs. The data come partially from the real world, and more importantly, such key elements as the formulated prescriptions of new TCM drugs, principles and methods, and clinical applications should be covered. RWS is mainly used for adverse drug reaction monitoring after marketing, benefit evaluation of listed drugs, decision-making of medical treatment and medical insurance, as well as supervision and approval of special medical devices and special drugs. It is complementary to randomized controlled clinical trials. Human use experience is suitable for the research and development of Chinese medicinal compound preparations and the expansion of functions and indications. There are no special provisions for clinical indications and target population. There exists a sequential relationship between the human use experience and clinical trials. Specifi-cally, the summarization of human use experience provides good support for the design and implementation of clinical trials, which is an important segment in the research and development of new TCM drugs. The correlation between real-world data and research results and their reliability should be ensured in RWS, and the unreality should be avoided. The key to summarizing the human use experience is to identify the clinical orientation, target population, course of treatment, usage and dosage of new TCM drugs, and it should be noted that human use experience does not only mean clinical experience. Experimental clinical trial(PCT), a type of study in the real world, has been commonly employed for the summary of human use experience. RWS and human use experience are different research designs targeting different clinical questions in the research and development of new TCM drugs, which can be flexibly selected depending on the actual situation.
Drugs, Chinese Herbal/adverse effects* ; Humans ; Medicine, Chinese Traditional ; Prescriptions ; Reproducibility of Results ; Research

In recent years， with the change in life style， social environment， and national childbearing policy， the proportion of high-risk pregnant women has increased significantly， triggering the spectrum of obstetric diseases to constantly change， which has brought new challenges to the diagnosis and treatment of obstetrics. Traditional Chinese medicine （TCM） has been proved effective in dealing with a variety of obstetric diseases， and various treatment methods are available， which can serve as alternative means for solving refractory obstetric diseases. However， most obstetric clinicians are currently less aware of the therapeutic effects of TCM， which has significantly hindered its participation in clinical treatment. Therefore， the China Association of Chinese Medicine （CACM） organized the outstanding young obstetricians of TCM and western medicine to discuss 15 obstetric diseases responding specifically to TCM or integrated TCM and western medicine， including hyperemesis gravidarum， threatened abortion， ectopic gestation， cough during pregnancy， pregnancy-induced hypertension syndrome， maternal-fetal ABO incompatibility， postpartum hypogalactia， residual pregnancy tissue in uterine cavity， puerperal infection， pantalgia after childbirth， hematoma/undesirable healing after caesarean section， postpartum urinary retention， ileus after cesarean section， pelvic floor dysfunction， and postnatal depression. The suggestions for their treatment with TCM or integrated TCM and western medicine were also proposed， aiming to provide patients with effective and personalized treatments in clinical practice and improve the diagnosis and treatment effects of obstetric diseases， thus benefiting the public. At the same time， more obstetrical clinicians are expected to understand the therapeutic effects and advantages of TCM and draw on the strengths of both TCM and western， thereby promoting the establishment of an obstetric diagnosis and treatment system with Chinese characteristics.