Objective: To explore the association of vegetables and fruits intake with depressive symptoms among multi ethnic first year junior high school students in Yunnan Province, so as to provide data support for preventing and reducing depressive symptoms among first year junior high school students. Methods: From October to December 2022, a cluster random sampling method was used to select 8 500 first year junior high school students from 11 ethnic minority areas in Yunnan Province (Fugong County, Longling County, Longyang District, Luchun County, Mojiang County, Nanjian County, Qiaojia County, Shuangjiang County, Tengchong City, Yuanmou County, Zhenyuan County), to investigate with a questionnaire. The Dietary Frequency Questionnaire was used to collect dietary behavior datas, and the Chinese version of Depression Anxiety Stress Scale-21 (DASS-21) was used to assess depressive symptoms. The generalized linear model was used to analyze the association of vegetable and fruit intake with depressive symptoms in students, and stratified analysis was performed according to ethnicity. Results: The detection rate of depressive symptoms among first year junior high school students in Yunnan Province was 29.5%. The detection rates of depressive symptoms in Han and minority first year junior high school students were 26.9% and 31.6%. After controlling for demographic variables such as gender, age, family residence and other confounding factors, the generalized linear model analysis results showed that the intake of leafy vegetables ( β= -0.07 , 95%CI =-0.12 to -0.01), flat fruits ( β=-0.06, 95%CI =-0.12 to -0.00) and hot natured fruits ( β=0.11, 95%CI = 0.04- 0.17) were associated with depressive symptoms in Han first year junior high school students (all P <0.05). The intake of melon and fruit vegetables ( β=-0.06, 95%CI =-0.11 to -0.01) and hot natured fruits ( β=0.06, 95%CI =0.01-0.12) were associated with depressive symptoms in ethnic minority first year junior high school students (both P <0.05). Conclusions The intake of vegetables and fruits among multi ethnic first year junior high school students in Yunnan Province is related to the risk of depressive symptoms. It is suggested to strengthen the consumption guidance and education of vegetables and fruits to prevent depressive symptoms among first year junior high school students.

Objective To develop a symptom and function assessment scale for patients after Nuss procedure for pectus excavatum and to test its reliability and validity. Methods Following the principles and procedures of patient-reported outcome (PRO) scale development stipulated by the U.S. Food and Drug Administration, an initial draft was formed through literature analysis, qualitative interviews, and Delphi expert consultation. The preliminary draft was used to conduct a pre-survey on patients who underwent Nuss procedure for pectus excavatum at Guangdong Provincial People's Hospital, and the reliability and validity of the scale were tested. Results A preliminary PRO-based symptom and function scale was constructed, covering two domains: symptoms and impact on daily functions. The symptom dimension included six items: chest tightness, palpitations, pain, shortness of breath, foreign body sensation of the steel plate, and distress; while the impact on daily functions included four items: difficulty in getting out of bed or lying down, raising arms, bending over, and standing or sitting for a long time. A total of 73 patients who underwent Nuss procedure for pectus excavatum were included in the questionnaire survey, with 70 valid questionnaires collected, including 64 males and 6 females, with 56 patients aged 12-17 years and 14 patients ≥18 years. Through exploratory factor analysis, two common factors were extracted, with a cumulative variance contribution rate of 70%. The Cronbach’s α coefficient of the scale was 0.917. Conclusion The scale developed in this study has good reliability and validity, high reliability and stability, and can be used as an evaluation tool for the recovery status of patients after Nuss procedure for pectus excavatum.

Objective To apply a multidimensional neonatal nutritional risk screening scale for hospitalized premature infants to explore its predictive value for extrauterine growth restriction(EUGR)at the time of discharge.Methods A total of 104 premature infants hospitalized in the Neonatal Department of the Second Affiliated Hospital of Kunming Medical University from January 2023 to September 2023 were selected as research subjects.Nutritional risk screening was conducted within 24 hours of admission and weekly thereafter using the multidimensional neonatal nutritional risk screening scale.Scoring was based on four dimensions(birth status,weight changes,nutritional intake methods,and disease diagnosis),with a total score of ≥ 8 indicating high risk;≥4 and＜8 indicating moderate risk;and＜4 indicating low risk.EUGR at the time of discharge was the primary clinical outcome indicator.Receiver operating characteristic(ROC)curves were constructed to explore the predictive value of neonatal nutritional risk screening for EUGR in premature infants.Results At discharge,40 premature infants(38.5％)experienced EUGR.The nutritional risk screening scores of the EUGR group on day 7 of hospitalization were higher than those of the non-EUGR group(P＜0.05).The rate of high nutritional risk on day 7 of hospitalization was highest(7.9％in the non-EUGR group,22％in the EUGR group,and 13.5％overall).On both day 1 and day 7 of hospitalization,the rate of high nutritional risk in the EUGR group was higher than that in the non-EUGR group(P＜0.05).There were significant differences in the nutritional risk screening scores on day 7,birth weight Z-scores,discharge corrected gestational age weight Z-scores,and serum albumin levels between the EUGR and non-EUGR groups(P＜0.05).ROC curves were plotted,yielding AUCs of 0.625(95％CI 0.514,0.736),0.652(95％CI 0.544,0.760),0.674(95％CI 0.561,0.786),and 0.641(95％CI 0.531,0.750),indicating certain predictive value.A combined predictive ROC model yielded an AUC of 0.786(95％CI 0.692,0.880)for EUGR,which was higher than the AUCs for individual indicators(P＜0.001).Conclusion The occurrence of EUGR is relatively common among hospitalized premature infants.The nutritional risk is highest during the first week of hospitalization.The multidimensional neonatal nutritional risk screening scale can dynamically assess nutritional risk during hospitalization and may serve as one of the early warning indicators for EUGR in premature infants.The predictive efficacy for EUGR is enhanced when combined with birth weight Z-scores,discharge weight Z-scores,and serum albumin,providing a basis for individualized nutritional management of premature infants.

Objective To systematically evaluate the risk factors for new-onset atrial fibrillation (NOAF) after off-pump coronary bypass grafting (OPCABG). Methods PubMed, EMbase, Web of Science, The Cochrane Library, Wanfang data, CBM, VIP, and CNKI databases were systematically searched by computer to collect studies related to the risk factors for NOAF after OPCABG from the establishment of the database to July 2023. Literature screening and quality evaluation were conducted independently by two researchers. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the literature. RevMan 5.3 and Stata15.0 were used for meta-analysis. Results Finally, 19 case-control studies related to the risk factors for NOAF after OPCABG were included, all of which were high-quality literature with NOS score≥6 points, with a total of 7019 subjects. The results of meta-analysis showed that the following factors were associated with NOAF after OPCABG: (1) the patient’s own factors: age (MD=3.51, 95%CI 2.39 to 4.63, P<0.01); (2) preoperative factors: history of hypertension (OR=1.17, 95%CI 1.04 to 1.32, P=0.01), history of myocardial infarction (OR=1.21, 95%CI 1.06 to 1.38, P<0.01), history of percutaneous coronary intervention (OR=2.22, 95%CI 1.03 to 4.77, P=0.04), EuroSCOREⅡ score (MD=0.59, 95%CI 0.25 to 0.94, P<0.01), low-density lipoprotein (MD=0.11, 95%CI 0.02 to 0.20, P=0.02), left atrial diameter (MD=1.64, 95%CI 0.24 to 3.04, P=0.02); (3) postoperative and treatment factors: left ventricular end-diastolic diameter (MD=1.16, 95%CI 0.33 to 1.99, P<0.01), left ventricular ejection fraction (MD=0.90, 95%CI 0.07 to 1.73, P=0.03), mechanical ventilation time (MD=2.78, 95%CI 1.65 to 3.90, P<0.01), B-type natriuretic peptide (MD=219.67, 95%CI 27.46 to 411.88, P=0.03), ICU retention time (MD=7.07, 95%CI 5.64 to 8.50, P<0.01). Conclusion The existing evidence shows that age, history of hypertension, history of myocardial infarction, history of percutaneous coronary intervention, preoperative EuroSCOREⅡscore, preoperative low-density lipoprotein, preoperative left atrial diameter, postoperative left ventricular end-diastolic diameter, postoperative left ventricular ejection fraction, postoperative mechanical ventilation time, postoperative B-type natriuretic peptide, and postoperative ICU retention time are risk factors for NOAF after OPCABG. Clinical attention should be paid to the above factors to achieve early identification, thereby reducing the incidence of NOAF after OPCABG and improving the clinical prognosis of patients.

Objective To explore the application of plasma 7 microRNA (miR7) testing in the differential diagnosis of very early-stage hepatocellular carcinoma (HCC). Methods This study is a multicenter real-world study. Patients with single hepatic lesion (maximum diameter≤2 cm) who underwent plasma miR7 testing at Zhongshan Hospital, Fudan University, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Anhui Provincial Hospital, and Peking University People’s Hospital between January 2019 and December 2024 were retrospectively enrolled. Patients were divided into very early-stage HCC group and non-HCC group, and the clinical pathological characteristics of the two groups were compared. The value of plasma miR7 levels, alpha-fetoprotein (AFP), and des-gamma-carboxy prothrombin (DCP) in the differential diagnosis of very early-stage HCC was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). In patients with both negative AFP and DCP (AFP＜20 ng/mL, DCP＜40 mAU/mL), the diagnostic value of plasma miR7 for very early-stage HCC was analyzed. Results A total of 64 528 patients from 4 hospitals underwent miR7 testing, and 1 682 were finally included, of which 1 073 were diagnosed with very early-stage HCC and 609 were diagnosed with non-HCC. The positive rate of miR7 in HCC patients was significantly higher than that in non-HCC patients (67.9% vs 24.3%, P＜0.001). ROC curves showed that the AUCs for miR7, AFP, and DCP in distinguishing HCC patients from the non-HCC individuals were 0.718, 0.682, and 0.642, respectively. The sensitivities were 67.85%, 43.71%, and 44.45%, and the specificities were 75.70%, 92.78%, and 83.91%, respectively. The pairwise comparison of AUCs showed that the diagnostic efficacy of plasma miR7 detection was significantly better than that of AFP or DCP (P＜0.05). Although its specificity was slightly lower than AFP and DCP, the sensitivity was significantly higher. Among patients negative for both AFP and DCP, miR7 maintained an AUC of 0.728 for diagnosing very early-stage HCC, with 67.82% sensitivity and 77.73% specificity. Conclusions Plasma miR7 testing is a potential molecular marker with high sensitivity and specificity for the differential diagnosis of small hepatic nodules. In patients with very early-stage HCC lacking effective molecular markers (negative for both AFP and DCP), miR7 can serve as a novel and effective molecular marker to assist diagnosis.

Drug repurposing offers a promising alternative to traditional drug development and significantly reduces costs and timelines by identifying new therapeutic uses for existing drugs. However, the current approaches often rely on limited data sources and simplistic hypotheses, which restrict their ability to capture the multi-faceted nature of biological systems. This study introduces adaptive multi-view learning (AMVL), a novel methodology that integrates chemical-induced transcriptional profiles (CTPs), knowledge graph (KG) embeddings, and large language model (LLM) representations, to enhance drug repurposing predictions. AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning (MVL), matrix factorization, and ensemble optimization techniques to integrate heterogeneous multi-source data. Comprehensive evaluations on benchmark datasets (Fdataset, Cdataset, and Ydataset) and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art (SOTA) methods, achieving superior accuracy in predicting drug-disease associations across multiple metrics. Literature-based validation further confirmed the model's predictive capabilities, with seven out of the top ten predictions corroborated by post-2011 evidence. To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. By unifying diverse data modalities, AMVL offers a robust and scalable solution for accelerating drug discovery, fostering advancements in translational medicine and integrating multi-omics data. We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Objective:To evaluate the early efficacy and safety of the exclusively transnasal endoscopic approach and the combined transconjunctival-endoscopic approach in the resection of benign orbital apex lesions.Methods:A retrospective analysis was conducted on 51 patients who underwent transnasal endoscopic resection of benign lesions in the orbital apex at Peking University Third Hospital from May 2021 to December 2024. The study population was composed of 17 males and 34 females, with the age of (39.4±12.4) years (range: 4 to 65 years). Pathology diagnoses were identified as orbital cavernous hemangioma (OCH, n=38), schwannoma ( n=8), solitary fibrous tumor ( n=1), mucocele ( n=1), optic nerve sheath meningioma ( n=1), pseudotumor ( n=1), and organized hematoma ( n=1). Two surgical approaches were compared as the exclusively transnasal endoscopic resection ( n=27) and the combined transconjunctival-endoscopic approach (combined approach, n=24). Preoperative and postoperative evaluations were conducted for the best corrected visual acuity (BCVA), visual field, intraocular pressure (IOP), and exophthalmos before and after surgery. Demographic characteristics, tumor features, and postoperative complications were analyzed between the two surgical groups. Differences in Orbital Resection by Intranasal Technique (ORBIT) stage between the two surgical approaches were analyzed. SPSS 27.0 software was used for statistical analysis. Results:Among the 51 patients, 3 schwannomas underwent intracapsular resection (1 via exclusively transnasal endoscopic approach, and 2 via combined approach), and the remaining 48 patients underwent complete tumor resection. Significant postoperative improvements were observed in BCVA, visual field, IOP and exophthalmos ( t value was 2.96, 4.34, 4.85, and 4.63, respectively, all P<0.05). The combined approach required longer operative time but showed comparable intraoperative blood loss. Tumors resected via the combined approach were larger in volume, though not statistically significant. Postoperative complications (e.g., diplopia, mydriasis) were more frequent in the combined approach group but resolved within a short-term period. There was no significant difference in ORBIT stage between the two groups ( P=0.178). Conclusions:Both exclusively transnasal and combined transconjunctival-endoscopic approaches prove safe and effective for benign orbital apex lesions resection. The combined approach ensures complete tumor removal.

Objective Taking cerebral ischemic disease as an example,it explores the use of doctors'actual diagnosis and treatment items under DRG payment,and analyzes the matching degree between actual diagnosis and treatment items and clinical pathways.Methods Based on the actual diagnosis and treatment items for patients with cerebral ischemic diseases,it sorted out their usage and cost proportion,built a diagnosis and treatment item pool,determined the basic diagnosis and treatment items based on expert consultation,and compared and matched them with clinical pathways.Results Among all the diagnosis and treatment items of cerebral ischemic diseases,only 21.27％had a utilization rate of more than 10％,but the cost accounted for 82.96％.42 diagnosis and treatment items were screened as basic diagnosis and treatment items.The degree of matching between laboratory inspection items and clinical pathways was high,but there were certain differences in drug treatment.Conclusion There are certain differences between actual diagnosis and treatment items and clinical pathways of cerebral ischemic diseases,and there are a large number of low-utilization items,some high-utilization items are not basic diagnosis and treatment items,and most of them are concentrated in laboratory inspection items.It is recommended to enhance the attention of clinical pathway under DRG payment and update and optimize it regularly,improve doctors'awareness of diagnosis and treatment based on clinical pathways,and improve the supervision and assessment mechanism of doctors'diagnosis and treatment behaviors,regularly update and optimize clinical pathways to improve their operability.

Children with cancer represent a distinct patient population, and decisions regarding hospice care preferences are primarily made by their parents. This article examines parental preferences concerning the location and goals of hospice care for their children with cancer, discusses the advantages and disadvantages associated with these choices, and identifies factors influencing parental preferences for hospice care. The aim is to provide a reference for clinical healthcare professionals in delivering high-quality hospice care services for children with cancer that align with parental preferences.

Drug repurposing offers a promising alternative to traditional drug development and significantly re-duces costs and timelines by identifying new therapeutic uses for existing drugs.However,the current approaches often rely on limited data sources and simplistic hypotheses,which restrict their ability to capture the multi-faceted nature of biological systems.This study introduces adaptive multi-view learning(AMVL),a novel methodology that integrates chemical-induced transcriptional profiles(CTPs),knowledge graph(KG)embeddings,and large language model(LLM)representations,to enhance drug repurposing predictions.AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning(MVL),matrix factorization,and ensemble optimization techniques to integrate heterogeneous multi-source data.Comprehensive evaluations on benchmark datasets(Fdata-set,Cdataset,and Ydataset)and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art(SOTA)methods,achieving superior accuracy in predicting drug-disease associations across multiple metrics.Literature-based validation further confirmed the model's predictive capabilities,with seven out of the top ten predictions corroborated by post-2011 evidence.To promote transparency and reproducibility,all data and codes used in this study were open-sourced,providing resources for pro-cessing CTPs,KG,and LLM-based similarity calculations,along with the complete AMVL algorithm and benchmarking procedures.By unifying diverse data modalities,AMVL offers a robust and scalable so-lution for accelerating drug discovery,fostering advancements in translational medicine and integrating multi-omics data.We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.