Objective: To explore the relationship among cognitive flexibility, depression and eating attitude of adolescents and the influencing factors of eating attitude. Methods: A total of 1 231 subjects were assessed using general information questionnaire, Kutcher Adolescent Depression Scale 11 item(KADS-11), Cognitive Flexibility Inventory(CFI), Eating Attitude Test 26(EAT-26). Data were analyzed by independent sample t-test, univariate linear regression, spearman correlation analysis and Logistic regression. Results: There were significant differences in EAT 26 among adolescents between genders and between those with or without depression(P<0.01). Statistically significant differences were observed in CFI, flexible control and KADS 11 among adolescents with or without eating disorders(P<0.01). The scores of EAT 26 was negatively correlated with CFI (r=-0.19, P<0.01) and flexible control(r=-0.23, P<0.01). And there was a significant positive correlation between EAT 26 and KADS 11(r=0.23, P<0.01). Female(OR=2.40, 95%CI=1.87-3.23), depression (OR=1.76, 95%CI=1.35-2.29) and poor flexible control (OR=1.94, 95%CI=1.48-2.54) were risk factors for eating disorders. Conclusion Female, individuals with depressive symptoms or with poor flexible control ability are more likely to have eating disorders which need more attention.

Objective To evaluate the dose response and prognosis of patients with stage ⅠE primary ocular adnexal mucosa associated lymphoid tissue lymphoma (POAml) treated with radiotherapy.Methods Clinical date of 93 patients (117 eyes) with stage ⅠE POAml treated from November 2003 to July 2015 were retrospectively analyzed.The dose response was evaluated by observing the ocular changes in exophthalmos.The survival rate was calculated by using the Kaplan-Meier survival analysis.The log-rank test and univariate analysis were used for prognostic analysis.Results For patients treated with a dose of ≥ 27 Gy,the response rate of exophthalmos was 69.0％(29/42).The median response dose was 7.2 Gy (5.4-19.8 Gy).For all patients,the local control rate was 100％.The 5-and 10-year overall survival (OS) rates were 92％ and 82％.The 5-and 10-year cause-specific survival (CSS) rates were equally 98％.The 5-and 10-year progression-free survival (PFS) rate were 90％ and 88％.The univariate prognostic analysis demonstrated that the International Prognostic Index (IPI) score and age were the prognostic factors of PFS rate (both P=0.04).Conclusions POAml is sensitive to radiation therapy.Radiotherapy alone can yield excellent local control and long-term survival in POAml patients.A prescription dosage of 18 Gy dose can obtain favorable clinical efficacy.

Objective:To develop a prototype artificial intelligence immunofluorescence image recognition system for classification of antinuclear antibodies in order to meet the growing clinical requirements for an automatic readout and classification of immunof luorescence patterns for antinuclear antibody (ANA) images.Methods:Immunofluorescence images with positive results of ANA in Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from April 2020 to December 2021 were collected. Three senior technicians independently and in parallel interpreted the Immunofluorescence images to determine the ANA results. Then the images were labeled according to the ANA International Consensus on Fluorescence Patterns (ICAP) classification criteria. There were 7 labeled groups: Fine speckled, Coarse speckled, Homogeneous, nucleolar, Centromere, Nuclear dots and Nuclear envelope. Each group was randomly divided into training dataset and validation dataset at a ratio of 9∶1 by using random number table. On the deep learning framework PyTORCH 1.7, the convolutional neural network (CNN) training platform was constructed based on ResNet-34 image classification network, and the automatic ANA recognition system was established. After the model was established, the test set was set up separately, the judgment results of the model were output by ranking the prediction probability, with the results of the 2 senior technicians was taken as "golden standard". Parameters such as accuracy, precision, recall and F1-score were used as indicators to evaluate the performance of the model.Results:A total of 23138 immunofluorescence images were obtained after segmentation and annotation. A total of 7 models were trained, and the effects of different algorithms, image processing and enhancement methods on the model were compared. The ResNet-34 model with the highest accuracy andswas selected as the final model, with the classification accuracy of 93.31%, precision rate of 91%, and recall rate of 90% and F1-score of 91% in the test set. The overall coincidence rate between the model and manual interpretation was 90.05%, and the accuracy of recognition of nucleolus was the highest, with the coincidence rate reaching 100% in the test set.Conclusion:The current AI system developed based on deep learning of the ANA immunofluorescence images in the present study showed the ability to recognize ANA pattern, especially in the common, typical, simple pattern.

There were three new blood group systems including the KANNO blood group system, the Sid blood group system and the CTL2 blood group system (provisional status), have been registered by the International Society of Blood Transfusion (ISBT) registered Science August 2019. The main reason for this update is that the significant SNPs of the KANNO blood group system (rs1800014) and the Sid blood group system (rs7224888) have been found through genome-wide association studies and whole exome sequencing. The new genetic evidences are consistent with the current immunological findings. In addition, although CTL2 antigen has been found on erythrocyte ghost (erythrocyte membrane) since 2017, CTL2 blood group system is still in provisional status due to lack of serological and genetic evidence. In this review, the experimental research advances of these three ISBT blood group systems and discuss the clinical value of the relevant researches was summarized briefly.
Blood Group Antigens ; Blood Transfusion ; Genome-Wide Association Study ; Humans

Objective: To explore whether Integrated Early Childhood Development (IECD) program has effectively improved the nurturing care for children aged 0-35 months in rural China. Methods: IECD has been implemented by the government of China with support from the United Nations Children's Fund (UNICEF) in four poverty-stricken rural counties since 2014. The interventions targeting the five key components of nurturing care (i.e. child and caregiver health, child nutrition, early learning support, child protection and social security) were delivered through the IECD program to children aged 0 to 35 months and their caregivers. A population-based intervention trial was designed to evaluate intervention effectiveness with data collected in 2013 (baseline) and 2016 (mid-term). The changes of nurturing care in the intervention and control group were analyzed by using a difference-in-differences (DID) model. This approach provided adjustment for sociodemographic and other confounding factors. Results: The baseline and mid-term survey enrolled 1 468 and 1 384 children in the intervention group, and 1 485 and 1 361 in the control group. After two years of implementation, the prevalence of caregiver's depression in the intervention group showed a decrease of 9.1% (mid-term 34.8% (479/1 377) vs. baseline 43.9% (621/1 414)), whereas that in control group showed a decrease of 1.6% (mid-term 34.3% (464/1 353) vs. baseline 35.9% (509/1 419)). With the confounding adjusted in the difference-in-differences model, the decrease of the caregiver's depression prevalence in the intervention group was 7.0% greater than that in the control group (P=0.008). The qualified rate of minimum meal frequency in the intervention group showed an increase of 10.4% (mid-term 69.0% (532/771) vs. baseline 58.6% (481/821)), whereas the qualified rate in the intervention group showed an increase of 2.9% (mid-term 66.4% (469/706) vs. baseline 63.5% (508/800)). With the confounding adjusted in the difference-in-differences model, the increase of the qualified rate in the intervention group was 8.2% greater than that in the control group (P=0.021). The proportion of violent discipline by caregivers in the intervention group showed a decrease of 6.2% (mid-term 49.1% (478/973) vs. baseline 55.3% (554/1 001)), whereas the proportion in control group showed an increase of 4.5% (mid-term 58.4% (560/959) vs. baseline 53.9% (558/1 036)), and with the confounding adjusted in the difference-in-differences model, the difference in increase rate between two groups was 11.0% (P=0.001). The proportion of families with three or more children's books in the intervention group showed an increase of 12.7% (mid-term 42.7% (588/1 378) vs. baseline 30.0% (432/1 440)), whereas the proportion of the control group showed an increase of 4.2% (mid-term 25.7% (349/1 357) vs. baseline 21.5% (298/1 388)), and with the confounding adjusted in the difference-in-differences model, the difference in increase rate between two groups was 6.1% (P=0.007). Conclusions The IECD intervention strategy implemented in rural China effectively improved the mental health of caregivers, optimizes families' child feeding and early stimulation behaviors, while reducing violent discipline and other risk factors. IECD provides better nurturing care for the early development of children aged 0-35 months in rural China.

Objective: To investigate the effect of pure titanium surface of large diameter TiO2 nanotubes modified by RGD peptide on the adhesion and proliferation of MG63 osteoblasts. to provide theoretical proof for developing titanium implants. Methods: Commercially pure titanium discs were divided into four groups and treated with SLA to obtain a microrough surface (SLA group). Then, nanotubes were imposed on this microrough surface by anodization (SLA+80 group). The surface was then modified by dopamine (DOPA) (DOPA Group), after which bioactive RGD peptide layers were generated on the TiO2 nanotube surfaces via electrochemical and molecular self-assembly techniques (RGD group). The titanium surface morphology and elemental composition of each group were characterized by field emission scanning electron microscopy (FE-SEM) and X-ray photoelectron spectroscopy (XPS). MG63 cells were cultured in vitro to evaluate biological activities of titanium before and after treatment, including the evaluation of early-stage cell adhesion capacity by fluorescence microscopy, proliferation capacity by MTS assay, and mRNA expression of the cell osteoblast-related genes alkaline phosphatase (ALP) and osteocalcin (OCN) by qRT-PCR. Results: FE-SEM and XPS showed that hierarchical micro/nanosurfaces decorated with TiO2 nanotubes were produced on titanium using sandblasting and large grit etching combined with anodization, dopamine was then self-polymerized to form a polydopamine film on the TiO2 nanotube surfaces, and RGD peptides were then conjugated to the polydopamine film, finally forming RGD peptide-modified bioactive layers. In vitro experiments showed that compared with the other three materials, the RGD-modified material was more conducive to cell adhesion and proliferation (P < 0.05). The expression levels of ALP and OCN mRNA in the RGD group were significantly higher than those in the SLA group and DOPA group (P < 0.05). Conclusion Hierarchical micro/nanosurfaces decorated with TiO2 nanotubes functionally modified with RGD peptides have good biocompatibility and could be used for developing titanium implants and further improving early osseointegration.

BACKGROUND: Pneumonia-like primary pulmonary lymphoma (PPL) was commonly misdiagnosed as infectious pneumonia, leading to delayed treatment. The purpose of this study was to establish a computed tomography (CT)-based radiomics model to differentiate pneumonia-like PPL from infectious pneumonia. METHODS: In this retrospective study, 79 patients with pneumonia-like PPL and 176 patients with infectious pneumonia from 12 medical centers were enrolled. Patients from center 1 to center 7 were assigned to the training or validation cohort, and the remaining patients from other centers were used as the external test cohort. Radiomics features were extracted from CT images. A three-step procedure was applied for radiomics feature selection and radiomics signature building, including the inter- and intra-class correlation coefficients (ICCs), a one-way analysis of variance (ANOVA), and least absolute shrinkage and selection operator (LASSO). Univariate and multivariate analyses were used to identify the significant clinicoradiological variables and construct a clinical factor model. Two radiologists reviewed the CT images for the external test set. Performance of the radiomics model, clinical factor model, and each radiologist were assessed by receiver operating characteristic, and area under the curve (AUC) was compared. RESULTS: A total of 144 patients (44 with pneumonia-like PPL and 100 infectious pneumonia) were in the training cohort, 38 patients (12 with pneumonia-like PPL and 26 infectious pneumonia) were in the validation cohort, and 73 patients (23 with pneumonia-like PPL and 50 infectious pneumonia) were in the external test cohort. Twenty-three radiomics features were selected to build the radiomics model, which yielded AUCs of 0.95 (95% confidence interval [CI]: 0.94-0.99), 0.93 (95% CI: 0.85-0.98), and 0.94 (95% CI: 0.87-0.99) in the training, validation, and external test cohort, respectively. The AUCs for the two readers and clinical factor model were 0.74 (95% CI: 0.63-0.83), 0.72 (95% CI: 0.62-0.82), and 0.73 (95% CI: 0.62-0.84) in the external test cohort, respectively. The radiomics model outperformed both the readers' interpretation and clinical factor model ( P <0.05). CONCLUSIONS The CT-based radiomics model may provide an effective and non-invasive tool to differentiate pneumonia-like PPL from infectious pneumonia, which might provide assistance for clinicians in tailoring precise therapy.
Humans ; Retrospective Studies ; Pneumonia/diagnostic imaging* ; Analysis of Variance ; Tomography, X-Ray Computed ; Lymphoma/diagnostic imaging*