Disease is closely related to nutrition,and disease state of hospitalized children with nutrient consumption and malnutrition is worrying. Malnutrition affects not only children′s growth,reduce the body func-tion,but also can increase the nutrition related complications and mortality. However currently the decision crite-ria of nutrition risk screening and evaluation method are not identical, there is no systemic, standard, unified plan,which cause a lot of malnutrition cases misdiagnosis and miss the timing of the early intervention. There-fore,it is necessary to do nutritional risk screening,nutrition assessment and nutritional surveillance for hospital-ized children,so that we can timely find the nutritional problems and take reasonable nutrition support and inter-vention measures. In this paper,the hospitalized children with nutritional risk screening and nutrition evaluation research progress are reviewed briefiy.

Objective To explore the distribution of age,reasons for treatment,risk factors,and causes of vulvovaginitis in prepubertal girls.Methods A total of 4 214 prepubertal girls with vulvovaginitis who were admitted to the Girl's Sub-department,Zhongshan Boai Hospital from January 2010 to June 2013 was reviewed retrospectively.All clinical data were from medical records with files.Results Atotalof1 587 patients (37.7％) was0to1 years old,954 (22.6％) ＞ 1 to3 years old,1 289 (30.6％) ＞ 3 to 7 years old,and 384 (9.1％) ＞ 7 years old.Many risk factors were associated with vaginitis,including poor hygiene (2 924 girls; 69.4％),allergies and exposure to allergens (875 girls; 20.8％).Most common reason for treatment was a referral from physical examination accounting for 919 girls (21.8％),followed by vaginal secretions 812 girls (19.3％).The causes of vulvovaginitis of all patients were evaluated,1 771 of which (42.0％) were nonspecific vulvovaginitis,1 309 (31.1％) labial adhesions,375 (8.9％) bacterial vulvovaginitis,266 (6.3％) allergic vulvovaginitis,and 266 (6.3％) affective leg rubbing action.Conclusions Prepubertal vulvovaginitis occurred mainly in infancy and preschool.Floating population was common.They were caused by many risk factors including poor hygiene,allergies,poor urination habits,etc.The most common causes of vulvovaginitis were nonspecific vulvovaginitis and labia adhesion,yet allergies and affective leg rubbing action were the more common causes of recurrent vulvovaginitis.We propose that focusing on girls' reproductive health,timely treating allergic and crossing rub legs and other diseases would help reduce the prevalence of vulvovaginitis in the prepubertal girls.

Objective To analyze the clinical features of 35 cases of Kennedy's disease and the correlation be?tween clinical features and CAG repeat size to strengthen the understanding of KD and to avoid misdiagnosis and delayed diagnosis.Methods Clinical data, including clinical signs and symptoms ,serum lipid, serum sex hormone level, electro?myography, the number of CAGs and (amyotrophic lateral sclerosis muscular atrophy,ALS) rating scale were collected from 35 patients genetically diagnosed of Kennedy disease and proceed system analysis. Results Patients with KD were adult onset with the average age of (40.77 ± 8.57) years and the average confirmed course were (8.32 ± 4.17) years. Forty-two point nine percent of the patients had family history. Clinical features included medulla oblongata and spinal muscular atrophy and weakness, limbs tremor, perioral muscles twitch and endocrine function and metabolic disorders in some cases. Creatine kinase, triglyceride, low density lipoprotein, follicle estrogen and prolactin were significantly in?creased compared to healthy adults (P:0.000,0.018,0.000,0.000,0.003). The number of CAG repeat was negatively correlated with the onset age (r=-0.549, P=0.001) but not associated with the illness severity (ALS rating scale) (r=0.001, P=0.998). ALS score was negatively correlated with course of disease(r=-0.540, P=0.001).Conclusions Chinese KD pa? tients share similar clinical phenotypes with those of other races but exhibit slightly different clinical characteristics. The length of the CAG repeat influences age at onset but not the severity of disease. Severity of disease is related to the course of disease.

Objective To investigate hospitalized children's nutritional risk and malnutrition occurrence,and to provide clinical basis for nutrition support.Methods Nutritional risk screening tool STRONGkids was applied to 651 cases of hospitalized children with nutritional risk screening,and through physical measurement to assess children' s nutritional status,at the same time during the patient's diagnosis,the length of time data for analysis was recorded.Results Of 651 cases of hospitalized children,7.07％ (46 cases) were of highly nutritional risk,80.95％ (527 cases) with moderate nutrition risk,and 11.98％ (78 cases) were of low nutrition risk.Malnutrition rate was 22.58％,moderate malnutrition in 111 cases (17.05％),severe malnutrition in 36 cases (5.53％).The first three high risk diseases were congenital heart disease,chronic liver disease and chronic kidney disease(x2 =21.43,P ＜0.01).According to the result of nutrition evaluation concluded with congenital heart disease,chronic kidney disease occurred with severe malnutrition was far higher than other diseases(x2 =16.53,P ＜ 0.05).Children with highly nutritional risk were more likely to have weight loss than the children with relatively low nutritional risk (P ＜ 0.05),and their length of hospital stay were obviously longer than the children with low or moderate nutritional risk (P ＜ 0.05).Conclusions The hospitalized children have high incidence of malnutrition,and different nutritional risks lead to different clinical outcomes.STRONGkids score method helps to evaluate nutritional risk in hospitalized children and detect malnutrition and potential deterioration,which is conducive to early comprehensive nutritional assessment and proper nutritional treatment,thus to improve their clinical outcomes.

Objective To analyze the clinical effects of thrombolytic therapy in patients with ischemic in-hos-pital stroke (IHS). Methods The clinical data were collected from patients with ischemic IHS in the last five years. The patients were divided into thrombolysis group and non-thrombolysis group, according to the use of recombinant tissue plasminogen activator (r-tPA) treatment. The clinical outcomes were measured by the modified Rankin scale (mRS) at discharge. Results There were a total of 121 patients in this study. There were 6 patients in thrombolysis group and 115 patients in the non-thrombolysis group, respectively. Six patients (100%) in the thrombolysis group achieved favor-able outcomes (mRS 0~2) at discharge whereas only 42 patients (36.5%) in the non-thrombolysis group achieved fa-vourable outcomes. The rate of favorable outcomes was significantly higher in the thrombolysis group than in the non-thrombolysis group (P<0.05). Conclusions R-tPA thrombolytic therapy can improve the prognosis of patients with ischemic IHS.

Objective: To compare the effectiveness of qualitative and quantitative fecal immunochemical tests (FIT) in identifying colorectal cancer, so as to provide insights into perfecting screening strategies for colorectal cancer. Methods: Participants in the Colorectal Cancer Screening Program for Key Populations in Zhejiang Province from May 2020 to December 2021 were recruited, and their demographic information, lifestyle and disease history were collected through a questionnaire survey. Qualitative or quantitative FIT along with a questionnaire-based risk assessment were employed as the initial screening tests. Individuals who were positive in any FIT or had high-risk assessment results were required to attend a subsequent colonoscopy examination. The positive rate, detection rate of colorectal cancer, positive predictive value and number of colonoscopies required were compared between qualitative and quantitative FITs, and stratified analyses by gender and age were conducted. Results: Totally 4 099 769 participants were included. The qualitative FIT group included 3 574 917 individuals, yielding a positive rate of 11.35%, a detection rate of 1.19%, a positive predictive value of 0.48% and 83.84 colonoscopies required to detect one cancer case. The quantitative FIT group involved 524 852 individuals, yielding a positive rate of 6.70%, a detection rate of 2.31%, a positive predictive value of 1.01% and 43.23 colonoscopies required to detect one cancer case. The quantitative FIT group showed significantly higher detection rate of colorectal cancer, higher positive predictive value and less number of colonoscopies required compared to the qualitative FIT group (all P<0.05). The same results were obtained after stratification by gender and age. Conclusion Compared to qualitative FIT, quantitative FIT improves the detection of colorectal cancer and reduces the workload of colonoscopy examinations, making it more suitable for colorectal cancer screening in large-scale populations.

Objective:To systematically evaluate and analyze the original research of prescription sequence symmetry analysis (PSSA), summarize its research progress and methodological details, and provide a reference for the future use of this method.Methods:The keywords related to PSSA were used for literature retrieval from Chinese databases (CNKI, Wanfang, and VIP) and English databases (PubMed, Embase, and Cochrane). Original articles that were related to PSSA and published before June 30, 2020 were selected. Information form was developed by Excel. Stata was used for the statistics analysis.Results:There were 45 eligible articles included in the research. Since 2013, the number of studies using PSSA has increased rapidly. These studies were mainly conducted in Japan ( n=11, 24.44%), China ( n=10, 22.22%), Denmark ( n=9, 20.00%), and Australia ( n=8, 17.78%). Medical claim database was used most commonly when PSSA was implemented. The included studies involved 16 types of drugs, of which the number of studies of psychotropic drugs and statins was highest ( n=8, 17.78%), and adverse reactions of almost all human systems were involved. In terms of methodology, 35 (77.78%) and 43 (95.56%) studies clearly reported the run-in period and interval period, of which 14 (31.11%) and 9 (20.00%) respectively gave the method or reason for determining the duration. In addition, 16 articles (35.56%) and 18 articles (40.00%) reported sensitivity analysis and subgroup analysis results, respectively. Conclusions:PSSA, one of the effective methods for safety signal detection in healthcare databases, has developed rapidly, but the methodological details and result reporting need to be improved. In China, PSSA research is still in its infancy, and it is necessary to pay attention to the quality of research and promote methodological exploration.

Objective:To investigate the feasibility of classifying imaging patterns of dermatomyositis/polymyositis-related interstitial lung disease (DM/PM-ILD) into subtypes based on chest CT radiomics features and a model was constructed by machine learning algorithms.Methods:From November 2011 to November 2020, 107 patients diagnosed with PM/DM-ILD at the First Affiliated Hospital of Xi′an Jiaotong University were retrospectively analyzed. A total of 315 cases with chest CT were collected. Doctors pre-classified image patterns, including 105 cases with non-specific interstitial pneumonia (NSIP), 90 cases with organizing pneumonia (OP), and 66 cases with non-specific interstitial pneumonia combined with organizing pneumonia (NSIP+OP), 35 cases with common interstitial pneumonia (UIP), and 19 cases with diffuse alveolar damage (DAD), ANOVA was used to test the difference of baseline clinical information among the imaging classification groups. All images were divided into the training set and the est set by stratified random sampling at a ratio of 4∶1. In each CT scan, 3D slicer was used to segment each lung lobe, and then reconstructed into 3 mm 3 of voxels, and Pyradiomics library was used to extract the radiomic features of the whole lung and each lobe. The multi-classification goal was achieved by constructing random forest base classifiers for each of the five groups and then voting as the final model. In the process of constructing the base classifier, firstly, the balance between sample groups was achieved by SMOTETomek comprehensive sampling, and the optimal feature set was selected by independent sample t test and L1 regularized least absolute shrinkage and selection operator (LASSO) regression. In this study, the Radiomics model was constructed based on chest CT radiomics features, and the Radiomics + model was constructed by introducing gender and age information. The base classifier and the integration model use the mean accuracy and the area under the receiver operator characteristics analysis curve (AUC) to evaluate the performance, respectively. Results:There was a statistically significant difference ( P<0.05) between the ages of the NSIP, OP, NSIP+OP, UIP, and DAD groups [(57±13),(53±8),(54±10),(44±11), and (46±8)years old, respectively], F=11.82, P<0.001. In the Radiomics model, for each group of NSIP, OP, NSIP+OP, UIP, and DAD, the AUCs of the training set were 0.87, 0.91, 0.91, 0.96, and 0.99, respectively, and the AUC of the test set were 0.81, 0.82, 0.79, 0.93, 0.89. In the final Radiomics + model, for each group of NSIP, OP, NSIP+OP, UIP, and DAD, the AUCs of the training set were 0.89, 0.91, 0.92, 0.97, and 0.99, respectively, and the AUCs of the test set were 0.84, 0.82, 0.78, 0.94, 0.90. Conclusion:Based on chest CT radiomics features and key clinical features (sex, age), the Radiomics + model constructed by machine learning has good classification performance for the imaging patterns of PM/DM-LD.

Objective:To understand the current status of rare disease related health information release in WeChat official accounts in China.Methods:We used a series of key words containing "rare diseases" and the names of the top 30 rare diseases in hospitalizations in China to search WeChat official accounts. Eligible articles were selected by systematic sampling. All including WeChat official accounts and articles were evaluated to extract the basic information.Results:No relevant WeChat official accounts were found for 14 rare diseases (46.67 %). Most of the WeChat official accounts (52.17 %) were initiated by patients and patient groups. No significant difference was detected in the total number of articles between the official accounts related with Traditional Chinese Medicine (TCM) and non-TCM related ones, however, the frequency of the monthly information release was significantly higher in TCM related official accounts ( P<0.001), while the average reading number of articles was significantly higher in non-TCM related official accounts ( P<0.001). Nearly 80 % of the WeChat official accounts had navigation menu, and the average reading number of official accounts with menus was larger than those without menus. The top three topics were rare disease diagnosis and treatment knowledge (46.00 %), public welfare activity for rare diseases (12.81 %) and uncorrelated things (8.65 %), while the first three leading topics were cutting-edge information, public welfare activity and patient story, respectively. Conclusions:The scale for rare disease related health information release based on WeChat official accounts in China has been basically formed, but it is still in development stage. Many improvements should be made in their coverage of rare diseases, release frequency, topic and form. It is urgent to establish or recreate some high-quality WeChat official accounts in order to provide precise information and effectively facilitate the prevention and treatment of rare diseases.

Objective:To systematically summarize and assess risk prediction models for occurrence of cervical cancer and to provide evidence for selecting the most reliable model for practice, and guide cervical cancer screening.Methods:Two groups of keywords related to cervical cancer and risk prediction model were searched on Chinese databases (CNKI, and Wanfang) and English databases (PubMed, Embase, and Cochrane Library). Original articles that developed or validated risk prediction models and published before November 21, 2019, were selected. Information form was created based on the CHARMS checklist. The PROBAST was used to assess the risk of bias.Results:12 eligible articles were identified, describing 15 prediction models, of which five were established in China. The predicted outcomes included multiple stages from cervical precancerous lesions to cancer occurrence, i.e., abnormal Pap smear (1), occurrence or recurrence of CIN (9), and occurrence of cervical cancer (5), etc. The most frequently used predictors were HPV infection (12), age (7), smoking (5), and education (5). There were two models using machine learning to develop models. In terms of model performance, the discrimination ranged from 0.53 to 0.87, while only two models assessed the calibration correctly. Only two models were externally validated in Taiwan of China, using people in different periods. All of the models were at high risk of bias, especially in the analysis domain. The problems were concentrated in the improper handling of missing data (13), preliminary evaluation of model performance (13), improper use of internal validation (12), and insufficient sample size (11). In addition, the problems of inconsistency measurements of predictors and outcomes (8) and the flawed report of the use of blindness for outcome measures (8) were also severe. Compared with the other models, the Rothberg (2018) model had relatively high quality. Conclusions:There are a certain number of cervical cancer risk prediction models, but the quality is poor. It is urgent to improve the measurement of predictors and outcomes, the statistical analysis details such as handling missing data and evaluation of model performance and externally validate existing models to better guide screening.