Objective To introduce the modeling method of pendulum-like modified rat abdominal heart heterotopic transplantation model and evaluate the quality of the model. Methods An operator without transplantation experience performed 15 consecutive models, recorded the time of each step, changes in body weight and modified Stanford scores, and calculated the surgical success rate, postoperative 1-week survival rate and technical success rate. Ultrasound examinations was performed in 1 week postoperatively. Results The times for donor heart acquisition, donor heart processing, recipient preparation and transplantation anastomosis were (14.3±1.4) min, (3.5±0.6) min, (13.6±2.1) min and (38.3±5.2) min respectively. The surgical success rate was 87% (13/15), and the survival rate 1 week after operative was 100% (13/13). The improved Stanford score indicated a technical success rate of 92% (12/13), and the postoperative 1-week ultrasound examination showed that grafts with Stanford scores ≥3 had detectable pulsation and blood flow signals. Conclusions The pendulum-like modified rat abdominal heart heterotopic transplantation improved model further optimizes the operational steps with a high success rate and stable quality, may be chosen as a modeling option for basic research in heart transplantation in the future.

Objective:Immune checkpoint inhibitors(ICIs)can significantly improve the clinical prognosis of various types of cancer and are increasingly used in surgical combination therapy for lung cancer.However,ICIs can cause serious or fatal immune-related ad-verse events(irAEs),and effective patient assessment and family training are essential for the prevention of irAEs in neoadjuvant im-munotherapy.Therefore,this study aims to determine the educational needs for the prevention of irAEs in patients with lung cancer af-ter neoadjuvant therapy.Methods:A retrospective analysis was performed for the medical records of 178 patients with lung cancer who received neoadjuvant therapy from March 2021 to September 2023,and the frequency and severity of irAEs and unplanned hospitaliza-tion due to irAEs were evaluated.Educational needs were assessed based on initial symptoms,caregivers,telephone counselling,and the interval between the appearance of symptoms and the arrival at the hospital.Results:Among the 178 patients available for assess-ment,86 patients(48.3%)experienced irAEs during the study period.Pneumonia observed in 13 patients was the most common irAE requiring hospitalization,followed by dermatitis in 2 patients and adrenal insufficiency in 2 patients.There was a relatively high inci-dence rate of severe irAEs requiring hospitalization among the patients with lung cancer receiving neoadjuvant therapy.Conclusion:Severe irAEs can be avoided through training of related knowledge for patients and their families,timely assessment and reporting of slight changes in symptoms after neoadjuvant therapy by caregivers,focus on commonly observe severe irAEs,and early detection.

Cysteine protease inhibitor SN(Cystatin SN , CST1), a member of the type 2 cystatins superfamily, regulates tumor biological activities by modulating cysteine protease activity. CST1 is abnormally expressed in digestive system neoplasms, such as esophageal cancer, gastric cancer, hepatocellular carcinoma, colorectal cancer, and pancreatic cancer. CST1 influences tumor cell proliferation, migration, and epithelial-mesenchymal transition (EMT) through signaling pathways including Wnt, STAT3, and PI3K-AKT. Its expression levels significantly correlated with tumor stage, metastasis, and patient prognosis, suggesting its potiential as a novel biomarker for early diagnosis, therapeutic evaluation, and prognosis in digestive system neoplasms. This article systematically reviews the molecular characteristics of CST1, its mechanisms of action in digestive system neoplasms, clinical significance, and explores its potential as a therapeutic target.

Objective To construct and validate a risk prediction model for malnutrition in non-di-alysis patients with stages 3 to 5 chronic kidney disease(CKD)based on Logistic regression(LR)and XGBoost algorithms,and to compare the predictive performance between the two models.Methods A total of 506 CKD patients were enrolled as study subjects.According to chronological order,they were divided into training set(n=404)and test set(n=102)at the ratio of 8 to 2.The training set was divided into case group and control group based on whether they were malnourished,with 202 cases in each group.The LR and XGBoost models were established,and the model efficacy was evaluated through the area under the receiver operating characteristic(ROC)curve(AUC),sensitivity,speci-ficity,GiViTI calibration curve band and clinical decision curve.Results The LR model identified age ≥60 years,disease of stage 5,reduced appetite,hypoalbuminemia,low prealbumin,low mid-arm muscle circumference and high perceived stress as independent risk factors for malnutrition among non-dialysis CKD patients,while physical activity was identified as a protective factor(P＜0.05).In the XGBoost model,the top five influential variables were serum albumin,appetite,physical activity,prealbumin and mid-arm muscle circumference.The AUC of the LR and XGBoost models in the train-ing set were 0.930 and 0.947 respectively,and those in the test set were 0.925 and 0.933.The pre-dictive ability of the latter was slightly higher(P＞0.05).The GiViTI calibration curve bands all showed good calibration capability.Conclusion The XGBoost model combined with shapley additive explanation performs better in identifying malnourished patients and guiding precise care.

Attention deficit hyperactivity disorder （ADHD）， also known as hyperactivity disorder in children， is a behavioral disorder commonly found in children， particularly preschool-aged children. This disorder can lead to cognitive impairment， learning difficulties， conduct disorders， and other mental health issues， severely impacting the quality of life for affected children. Moreover， the global prevalence of ADHD continues to rise. Establishing an animal model that closely aligns with clinical symptoms and the pathogenesis of the disease is crucial for advancing research on the prevention and treatment of ADHD. In recent years， research on animal models of ADHD has rapidly developed. Researchers have developed nearly 20 animal models from genetic and environmental perspectives. However， most of these models are still in the exploratory stage， and there is insufficient research to thoroughly investigate their pathogenesis， core characteristics， and drug effects. The spontaneously hypertensive rat （SHR） is currently the most commonly used animal model for ADHD because of its excellent face validity and developmental stage that better corresponds to childhood. In addition， dopamine transporter （DAT） knockout mice， LPHN3 knockout rats， and neonatal rat hypoxia models have also shown good face validity. Some researchers have injected SHRs with daily doses of levothyroxine sodium， which not only induces typical ADHD symptoms in the rats but also exhibits signs of Yin deficiency and Yang hyperactivity， which successfully simulates the Yin deficiency and Yang hyperactivity syndrome type of ADHD， providing a new approach for constructing and evaluating ADHD animal models that combine both traditional Chinese and western medicine. This article reviewed ADHD animal models reported in China and abroad over the past decade， summarized rodent models of ADHD into three major categories： genetic models， chemically induced models， and environmentally induced models， and analyzed each category to provide a reference for selecting and exploring appropriate models for experimental ADHD research.

ObjectiveTo systematically evaluate the efficacy and safety of omental wrapping technique for pancreaticojejunal anastomosis in preventing complications after pancreaticoduodenectomy. MethodsThis study was conducted according to the PRISMA guideline. English and Chinese databases including CNKI， Wanfang Data， VIP， CBM， the Cochrane Library， PubMed， Embase， and Web of Science were searched for clinical studies on omental wrapping technique for pancreaticojejunal anastomosis in preventing complications after pancreaticoduodenectomy published up to November 2022， and Stata 16 and Review Manager 5.4 were used to perform the meta-analysis. ResultsA total of 15 studies with 1 830 patients were included in this study. The meta-analysis showed that the omental wrapping group had a significantly lower overall incidence rate of postoperative pancreatic fistula （POPF） than the non-omental wrapping group （odds ratio ［OR］=0.30， 95% confidence interval ［CI］： 0.22‍ ‍—‍ ‍0.41， P<0.001）， and the subgroup analysis showed that the omental wrapping group had a significantly lower incidence rate of grade B/C POPF than the non-omental wrapping group （OR=0.29， 95%CI： 0.21‍ ‍—‍ ‍0.39， P<0.001）. Compared with the non-omental wrapping group， the omental wrapping group had significantly lower incidence rates of postoperative bile leakage （OR=0.30， 95%CI： 0.16‍ ‍—‍ ‍0.56， P<0.001）， postoperative hemorrhage （OR=0.35， 95%CI： 0.24‍ ‍—‍ ‍0.53， P<0.001）， delayed gastric emptying （OR=0.45， 95%CI： 0.31‍ ‍—‍ ‍0.64， P<0.001）， abdominal infection （OR=0.55， 95%CI： 0.40‍ ‍—‍ ‍0.75， P<0.001）， reoperation （OR=0.31， 95%CI： 0.18‍ ‍—‍ ‍0.54， P<0.001）， and death within 30 days after surgery （OR=0.42， 95%CI： 0.22‍ ‍—‍ ‍0.80， P=0.009）， a significantly earlier time to diet （mean difference ［MD］=-0.98， 95%CI： -1.84 to -0.11， P=0.03）， and a significantly shorter length of postoperative hospital stay （MD=-2.44， 95%CI： -4.10 to -0.77， P=0.004）. There were no significant differences between the two groups in the time of operation （MD=-13.68， 95%CI： -28.31 to -0.95， P=0.07） and intraoperative blood loss （MD=-17.26， 95%CI： -57.55 to -23.03， P=0.40）. ConclusionOmental wrapping can reduce the incidence rates of postoperative complications such as pancreatic fistula， bile leakage， postoperative hemorrhage， abdominal infection， and delayed gastric emptying， improve the prognosis of patients， and shorten the length of hospital stay， without increasing surgical difficulty or time of operation.

Objective To investigate the long-term safety and effectiveness of withdrawal of hepatitis B immuneglobulin (HBIG) and/or nucleos(t)ide analogues (NAs) to prevent hepatitis B virus (HBV) reinfection in liver transplant recipients with hepatitis B-related diseases after successful vaccination. Methods Baseline data of 76 liver transplant recipients undergoing hepatitis B immune reconstitution after receiving hepatitis B vaccines were retrospectively analyzed. The vaccination and response, the follow-up results of respondents with HBIG and/or NAs withdrawal, and the reinfection of HBV after withdrawal of HBIG and/or NAs were analyzed. Results The time interval from liver transplantation to hepatitis B vaccination was 26 (20, 40) months. The time interval from vaccination to response was 15 (8,27) months. Initially, 76 recipients withdrew HBIG, and 36 recipients withdrew HBIG and NAs. During the follow-up, 12 of 76 recipients who withdrew HBIG resumed use of HBIG, and 16 of 36 recipients who withdrew HBIG and NAs resumed use of NAs. The withdrawal time of HBIG and NAs was 135 (98,150) and 133 (34,149) months, respectively. Sixteen respondents did not receive booster, and 36 respondents received boosters on a regular basis. The time interval between the first booster and HBIG withdrawal was 44 (11,87) months. No significant differences were observed in baseline data between the respondents with and without boosters (all P>0.05). During the follow-up, 9 recipients were lost to follow-up, 5 were re-infected with HBV, 3 died, and 1 recipient developed graft loss and underwent secondary liver transplantation. Among 5 recipients re-infected with HBV, 4 cases had virus mutation. Significant differences were found between re-infected and uninfected patients regarding withdrawal of NAs and hepatitis B e antigen (HBeAg) positive before transplantation (both P<0.05). Conclusions Long-term withdrawal of HBIG is feasible and safe for recipients with successful hepatitis B immune reconstitution after liver transplantation for hepatitis B-related diseases. Nevertheless, whether antiviral drugs can be simultaneously withdrawn remains to be validated.

The current production of Chinese herbal decoction pieces faces several issues including strong subjectivity,unstable quality,low production efficiency,and a lack of intelligent systems.In order to expedite the intelligent transformation and upgrading of Chinese medicine processing,this paper delves deeply into the problems and challenges encountered in establishing a digital and intel-ligent production model for Chinese herbal pieces.Addressing the slow progress in fundamental research on traditional Chinese medi-cine processing mechanisms,the absence of online digital quality characterization techniques,the low level of production equipment in-telligence,and the lack of evaluation standards for high-quality decoction pieces,this paper proposes a"New Quality Productive Forces"formation approach driven by technological innovation.Through interdisciplinary integration methods,the paper explores the mechanisms of Chinese medicine processing in depth,clarifies the correlation between the processing procedures and the"medicinal properties-quality"relationship,and employs bionic sensing and artificial intelligence to achieve a holistic quality characterization of decoction pieces.Additionally,the use of cloud-edge collaborative big data systems is proposed to enhance intelligent upgrades of the production lines.The paper also aims to establish a high-quality decoction piece evaluation system integrating"physical-chemical-bio-logical"multimodal data fusion.This approach aims to steer the Chinese medicine processing towards becoming more efficient,precise,and sustainable,thereby promoting high-quality sustainable development of the Chinese herbal decoction industry and providing both theoretical and practical support for the modernization of traditional Chinese medicine.

A deep learning-based model for automatic diagnosis and classification of adolescent idiopathic scoliosis has been constructed.This model mainly included key points detection and Cobb angle measurement.748 full-length standing spinal X-ray images were retrospectively collected,of which 602 images were used to train and validate the model,and 146 images were used to test the model performance.The results showed that the model had good diagnostic and classification performance,with an accuracy of 94.5%.Compared with experts'measurement,94.9%of its Cobb angle measurement results were within the clinically acceptable range.The average absolute difference was 2.1°,and the consistency was also excellent(r2≥0.9552,P<0.001).In the future,this model could be applied clinically to improve doctors'diagnostic efficiency.

Objective:To develop a risk prediction model for identifying bronchopulmonary dysplasia (BPD) associated pulmonary hypertension (PH) in very premature infants.Methods:This was a retrospective cohort study. The clinical data of 626 very premature infants whose gestational age <32 weeks and who suffered from BPD were collected from October 1 st, 2015 to December 31 st, 2021 of the Seventh Medical Center of the People′s Liberation Army General Hospital as a modeling set. The clinical data of 229 very premature infants with BPD of Hunan Children′s Hospital from January 1 st, 2020 to December 31 st, 2021 were collected as a validation set for external verification. The very premature infants with BPD were divided into PH group and non PH group based on the echocardiogram after 36 weeks′ corrected age in the modeling set and validation set, respectively. Univariate analysis was used to compare the basic clinical characteristics between groups, and collinearity exclusion was carried out between variables. The risk factors of BPD associated PH were further screened out by multivariate Logistic regression, and the risk assessment model was established based on these variables. The receiver operating characteristic (ROC) area under curve (AUC) and Hosmer-Lemeshow goodness-of-fit test were used to evaluate the model′s discrimination and calibration power, respectively. And the calibration curve was used to evaluate the accuracy of the model and draw the nomogram. The bootstrap repeated sampling method was used for internal verification. Finally, decision curve analysis (DCA) to evaluate the clinical practicability of the model was used. Results:A total of 626 very premature infants with BPD were included for modeling set, including 85 very premature infants in the PH group and 541 very premature infants in the non PH group. A total of 229 very premature infants with BPD were included for validation set, including 24 very premature infants in the PH group and 205 very premature infants in the non PH group. Univariate analysis of the modeling set found that 22 variables, such as artificial conception, fetal distress, gestational age, birth weight, small for gestational age, 1 minute Apgar score ≤7, antenatal corticosteroids, placental abruption, oligohydramnios, multiple pulmonary surfactant, neonatal respiratory distress syndrome (NRDS)>stage Ⅱ, early pulmonary hypertension, moderate-severe BPD, and hemodynamically significant patent ductus arteriosus (hsPDA) all had statistically significant influence between the PH group and the non PH group (all P<0.05). Antenatal corticosteroids, fetal distress, NRDS >stage Ⅱ, hsPDA, pneumonia and days of invasive mechanical ventilation were identified as predictive variables and finally included to establish the Logistic regression model. The AUC of this model was 0.86 (95% CI 0.82-0.90), the cut-off value was 0.17, the sensitivity was 0.77, and the specificity was 0.84. Hosmer-Lemeshow goodness-of-fit test showed that P>0.05. The AUC for external validation was 0.88, and the Hosmer-Lemeshow goodness-of-fit test suggested P>0.05. Conclusions:A high sensitivity and specificity risk prediction model of PBD associated PH in very premature infants was established. This predictive model is useful for early clinical identification of infants at high risk of BPD associated PH.