Objective: To explore the dynamic developmental trajectories of college students class belongingness during their college years and its longitudinal predictive effects on depressive symptoms, so as to provide targeted insights for precise campus psychological interventions. Methods: In October 2021 (T1), a total of 4 720 college students from a university in Shandong Province were selected by cluster sampling method and followed up for 3 years. Surveys were conducted annually (T2: October 2022, T3: October 2023, T4: October 2024). The Class Belongingness Scale and Patient Health Questionnaire-9 (PHQ-9) were used to assess students class belongingness and depressive symptoms. Latent growth mixture modeling was employed to identify trajectories of class belonging, and multinomial Logistic regression analysis was used to examine the predictive effects of these trajectory classes on depressive symptoms. Results: Mean scores of class belongingness across T1-T4 were (73.24±11.95, 74.76±12.25, 75.25±12.38, 77.64±11.63), and the scores of depressive symptoms were [1.00 (0, 5.00), 0 (0, 3.00), 0 (0, 2.00), 0 (0, 2.00)]. The developmental trajectories of class belongingness were categorized into three types: the high-starting ascending group ( 56.61 %), the low-starting descending group (11.91%), and the medium-starting stable group (31.48%). Multinomial Logistic regression analysis showed that, compared to the medium-starting stable group, the high-starting ascending group had a lower probability of developing mild depressive symptoms ( OR=0.27, 95%CI =0.15-0.47) and moderate or above depressive symptoms ( OR=0.29, 95% CI = 0.14-0.60) (both P <0.05). Conversely, the low-starting descending group had a higher probability of developing mild depressive symptoms ( OR=2.31, 95%CI =1.65-3.22) and moderate or above depressive symptoms ( OR=7.49, 95%CI = 3.82-14.69) (both P <0.05). Conclusion Declining trajectory of class belongingness is a risk factor for depressive symptoms, while sustained upward trend may mitigate such risks.

OBJECTIVE To construct three-class （insufficient， normal， excessive） and two-class （insufficient， normal） models for predicting plasma concentration of valproic acid （VPA）， and compare the performance of these two models， with the aim of providing a reference for formulating clinical medication strategies. METHODS The clinical data of 480 patients who received VPA treatment and underwent blood concentration test at the Xi’an International Medical Center Hospital were collected from November 2022 to September 2024 （a total of 695 sets of data）. In this study， predictive models were constructed for target variables of three-class and two-class models. Feature ranking and selection were carried out using XGBoost scores. Twelve different machine learning algorithms were used for training and validation， and the performance of the models was evaluated using three indexes: accuracy， F1 score， and the area under the working characteristic curve of the subject （AUC）. RESULTS XGBoost feature importance scores revealed that in the three-class model， the importance ranking of kidney disease and electrolyte disorders was higher. However， in the two-class model， the importance ranking of these features significantly decreased， suggesting a close association with the excessive blood concentration of VPA. In the three-class model， Random Forest method performed best， with F1 score of 0.704 0 and AUC of 0.519 3 on the test set； while in the two-class model， CatBoost method performed optimally， with F1 score of 0.785 7 and AUC of 0.819 5 on the test set. CONCLUSIONS The constructed three-class model has the ability to predict excessive VPA blood concentration， but its prediction and model generalization abilities are poor； the constructed two-class model can only perform classification prediction for insufficient and normal blood concentration cases， but its model performance is stronger.

Objective:To investigate the effects of acupuncture and moxibustion combined with rehabilitation exercises on limb locomotor function, balance function, and quality of life in patients with post-stroke hemiplegia.Methods:A retrospective analysis of clinical data from 60 patients with post-stroke hemiplegia admitted to Zhoushan Hospital between January 2022 and September 2023 was conducted. The patients were divided into a control group ( n = 30) and a study group ( n = 30) based on different rehabilitation methods. The study group received acupuncture and moxibustion combined with rehabilitation exercise, while the control group underwent rehabilitation exercise alone. Both groups were treated for 8 weeks. After 8-week of treatment, clinical efficacy was compared between the two groups. The Fugl-Meyer Lower Limb Movement Scale, Berg Balance Scale, National Institutes of Health Stroke Scale, Activities of Daily Living scale, and Stroke-Specific Quality of Life Scale were used to assess changes in limb movement function, balance function, gait, neurological function, daily living abilities, and quality of life before and after the 8-week treatment. Results:The total response rate in the study group (93.33%, 28/30) was significantly higher than that in the control group (70.00%, 21/30, χ2 = 5.45, P < 0.05). After treatment, the Fugl-Meyer Lower Limb Movement Scale scores [(28.41 ± 5.06) points] and the Berg Balance Scale scores [(36.56 ± 3.81) points] in the study group were significantly higher than those in the control group [(23.76 ± 4.31) points, (27.39 ± 4.57) points, t = -3.83, -8.44, both P < 0.05]. After treatment, the study group demonstrated greater values in step frequency [(85.21 ± 5.26) N], step length [(87.94 ± 5.83) cm], and walking speed [(0.68 ± 0.13) m/s] compared with the control group [(74.52 ± 3.89) N, (78.85 ± 6.17) cm, (0.57 ± 0.10) m/s, t = -8.95, -5.87, -3.67, all P < 0.05]. The National Institutes of Health Stroke Scale scores in the study group [(7.17 ± 3.08) points] was significantly lower than that in the control group [(10.28 ± 2.45) points, t = 4.33, P < 0.05]. The Activities of Daily Living scale score in the study group [(64.31 ± 13.38) points] was significantly higher than that in the control group [(50.27 ± 15.46) points, t = -3.76, P < 0.05]. The Stroke-Specific Quality of Life Scale score in the study group [(168.48 ± 23.15) points] was significantly higher than that in the control group [(137.94 ± 20.01) points, t = 5.47, P < 0.05]. Conclusions:Acupuncture and moxibustion combined with rehabilitation exercise significantly benefits patients with post-stroke hemiplegia by improving their limb locomotor function, balance function, and overall quality of life.

Objective:To evaluate the impact of postoperative radiotherapy (RT) and associated risk factors on the prognosis of patients undergoing postmastectomy breast reconstruction (PMBR) for breast cancer.Methods:A retrospective analysis was conducted on 1593 breast cancer patients who underwent PMBR at Tianjin Medical University Cancer Institute & Hospital between January 2010 and October 2023. Patients were divided into an RT group ( n = 351) and a non-RT group ( n =1242) based on whether postoperative radiotherapy was administered. The primary endpoints were overall survival (OS) and progression-free survival (PFS), and the secondary endpoint was the incidence of revision surgery. Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were used for pairing. Continuous variables were compared between the two groups using the independent samples t-tests, while categorical variables were compared using chi-square tests, and survival analysis was performed using the Kaplan-Meier method. Cox proportional hazards model was used to analyze survival influencing factors, and include propensity factors with P<0.2 in univariate analysis into multivariate analysis. Results:In the RT group, there were 3 deaths (0.9%) and 21 cases of disease progression (6.0%); in the non-RT group, 7 patients died (0.56%) and 40 experienced disease progression (3.22%). The median OS was 20.1 months (range: 0.1-164.9), and the median PFS was 19.5 months (range: 0.1-160.9). Pregnancy-associated breast cancer and higher N stage were identified as significant risk factors for OS, while neoadjuvant therapy, absence of adjuvant chemotherapy or endocrine therapy, and higher T stage were significant risk factors affecting patients' PFS. Radiotherapy significantly reduced the survival risk for PMBR patients with pregnancy-associated breast cancer or those receiving neoadjuvant therapy ( P=0.019, 0.027). Compared with other reconstruction methods, implant-based reconstruction was associated with a lower incidence of postmastectomy revision surgery(10.5% vs. 17.0%, P<0.001). Even after radiotherapy, the revision surgery incidence for implant-based reconstruction remained lower than that of other methods (12.2% vs. 14.2%, P=0.591). Compared with other reconstruction types, expander-based reconstruction was associated with an increased incidence of revision surgery (31.9% vs. 10.9%, P<0.001). Conclusions:Postmastectomy radiotherapy can reduce survival risk in PMBR patients with pregnancy-associated breast cancer or who received neoadjuvant therapy, showing positive effects on OS and PFS in high-risk patients. Pregnancy, higher T/N stage, and specific treatment strategies are critical factors influencing the prognosis of PMBR patients. Implant-based reconstruction is associated with a lower incidence of revision surgery, which remains low even after RT, whereas expander-based reconstruction may increase the long-term risk of revision surgery.

Objective:Based on the activities of Helicobacter pylori ( HP) screening in Jiangsu Province in 2024, to evaluate the overall management ability in HP screening, testing, treatment and follow-up in primary medical facilities. Methods:From May 15 to October 18, 2024, the data of HP screening and treatment were retrospectively collected from 79 township health centers, community hospitals, and community health service centers in Jiangsu Province. The rates of screening completion, urea breath test (UBT) completion, treatment rate, UBT follow-up completion, and HP eradication were analyzed. Chi-square test was used for statistical analysis. Results:The completion rate of HP screening was 94.45% (15 489/16 400). There were 6 604 cases (42.64%) with serum HP antibody positive among the 15 489 individuals who completed screening. The positive rate of serum HP antibody in males was higher than that in females (44.77%, 2 643/5 904 vs. 41.32%, 3 961/9 585), and the difference was statistically significant ( χ2=17.69, P<0.001). The positive rates of serum HP antibody in screened individuals aged 18 to 19, 20 to 39, 40 to 59, and 60 to 75 years old were 22.38% (32/143), 36.12% (1 168/3 234), 45.01% (3 240/7 199), and 44.05% (2 164/4 913), respectively, and the difference was statistically significant( χ2=100.73, P<0.001). Among the 6 604 HP antibody-positive individuals, 4 381 cases completed UBT, with a UBT completion rate of 66.34% (4 381/6 604). There were 3 197 individuals with both HP serum antibody and UBT positive, the consistency rate of the 2 tests was 72.97% (3 197/4 381). Totally 2 737 cases received treatment, with a treatment completion rate of 85.61% (2 737/3 197); 2 327 individuals underwent UBT follow-up, with a follow-up completion rate of 85.02% (2 327/2 737). During follow-up, the result of UBT was negative in 1 982 individuals, and the HP eradication rate was 85.17% (1 982/2 327). Conclusions:There are deficiencies in the completion rate of HP screening, testing, treatment, and follow-up in primary hospitals, especially in the completion rate of UBT, which may be related to cognitive insufficiency for HP in residents. It is necessary to strengthen the training of physicians′ abilities in primary hospitals, optimize the allocation of drug resources, enhance health education, and increase residents′ participation and compliance.

Objective To search,evaluate and summarise the best evidence on pre-rehabilitation before surgery for elderly patients with hip fracture so as to provide an evidence-based basis for further standardisation in clinical practice.Methods Based on the"6S Pyramid"evidence model,desktop searches were conducted across databases and websites including Medlive,BMJ Best Practice,UpToDate,the World Health Organization,the Guidelines International Network(GIN),British National Institute for Health and Care Excellence(NICE),American National Guideline Clearinghouse(NGC),Canadian Medical Association:Clinical Practice Guidelines Infobase(CMA),Scottish Intercollegiate Guidelines Network(SIGN),the Registered Nurses'Association of Ontario(RNAO),American College of Sports Medicine(ACSM),American Academy of Orthopaedic Surgeons(AAOS),European Society for Clinical Nutrition and Metabolism(ESPEN),American Society for Parenteral and Enteral Nutrition(ASPEN),the Enhanced Recovery After Surgery Society(ERASS),Cochrane Library,Joanna Briggs Institute,PubMed,CINAHL,Web of Science,Embase,Scopus,Science Direct,CNKI,Wanfang Data,Vip,and SinoMed.The research targeted evidence on pre-rehabilitation in elderly patients with hip-fracture before surgery,encompassing clinical decisions,guidelines,evidence summaries,best practices,expert consensus,systematic reviews and randomized controlled trials(RCTs).The search items spanned from the inception of database to 31st December,2023.Two researchers trained with evidence-based knowledge evaluated the quality of the included literature and extracted and summarised the evidence.Results A total of 14 documents were included,consisting of 2 clinical decisions,4 guidelines,1 best practice,4 expert consensus and 3 systematic reviews.Evidence was summarised into 7 domains from 25 pieces of evidence:multidisciplinary management,preoperative assessment,preoperative health education,multi-modal analgesia,nutritional management,exercise intervention and assessment and prevention of complication risks.Conclusion The best evidence summarised in this study provides a basis for pre-rehabilitation in elderly patients with hip fracture before surgery.Nurses should adapt the findings to specific contexts,standardise the preoperative rehabilitation procedures,and improve clinical outcomes for the patients.

Objective:To evaluate the diagnostic value of micro flow imaging (MFI) supported by Image Pro Plus (IPP) software for BI-RADS classification of breast nodules and the correlation between its parameters and Ki-67 expression level.Methods:A total of 205 cases of breast solid nodules with ultrasound BI-RADS classification of 4 categories were enrolled in this study. BI-RADS classification, CDFI score, MFI score, CDFI-IPP score and MFI-IPP score by IPP software were performed for each nodule. Ki-67 immunohistochemical staining of invasive ductal carcinoma was performed to analyze the correlation between MFI-IPP-VI and Ki-67 expression levels.Results:The combined BI-RADS classification for diagnosis of malignant nodules had the largest area under the ROC curve, which was significantly higher than that of BI-RADS, MFI-IPP-VI, MFI score, CDFI-IPP-VI, and CDFI score (all P<0.05). The combined BI-RADS classification had the best diagnostic efficacy for the diagnosis of malignant nodules with a sensitivity of 96.4%, specificity of 65.6% and accuracy of 82.4%. In addition, the agreement between experienced and inexperienced sonographers applying MFI-IPP-VI was higher than MFI (Kappa=0.780 vs. Kappa=0.743). The mean value of Ki-67 in invasive ductal carcinoma was 21.93%±16.37%, and Spearman's correlation analysis showed a positive correlation between MFI-IPP-VI and Ki-67 expression level ( r=0.815, P<0.05). Conclusions:MFI-IPP can assist sonographers to classify breast nodules by BI-RADS, providing an effective basis for puncture biopsy. MFI-IPP-VI offers the possibility of noninvasively predicting the expression level of Ki-67 in invasive ductal carcinoma.

Objective:To evaluate the early efficacy and safety of transnasal endoscopic surgical resection of orbital cavernous hemangioma (OCH) at orbital resection by intranasal technique (ORBIT) stage Ⅲ.Methods:A retrospective study was conducted on 20 patients (20 eyes) who underwent nasal endoscopic surgery to remove ORBIT stage Ⅲ OCH at the Third Hospital of Peking University from July 2021 to July 2024. The cohort were included 10 males and 10 females, aged from 25 to 59 years, with a mean follow-up time of (5.10±4.51) months. Preoperative symptoms included visual field defects in 19 patients (95%), decreased visual acuity in 18 patients (90%), exophthalmos in 2 patients (10%), diplopia in 2 patients (10%), headache in 2 patients (10%), ocular pain in 2 patients (10%), and color vision abnormalities in 1 patient (5%). Data on patient demographics, medical history, imaging data, surgical approach, and postoperative outcomes were collected. Pre-and post-surgical outcomes including best corrected visual acuity (BCVA), visual field, proptosis, and intraocular pressure were compared. Surgical approaches included transnasal endoscopic OCH resection (12 cases, 60%) and transnasal endoscopic combined conjunctival approach OCH resection (8 cases, 40%). The results of the postoperative 2-week review were used as the postoperative short-term efficacy data, and those at 3 months were used for postoperative therapeutic efficacy analysis. SPSS 26.0 statistical software was applied for statistical analysis.Results:In 20 patients, all OCH were completely resected, and the BCVA, visual field, and exophthalmos were significantly improved post-operatively. The differences were statistically significant before and after surgery ( t values were 3.169, 5.127, and 3.350, respectively, all P<0.05). There were no serious complications in the short term after surgery. The short-term complications after endoscopic surgery alone were mainly new-onset diplopia in 1 case (1/12), and the short-term complications after combined approach were new-onset diplopia in 5 cases (5/8) and pupil dilation in 2 cases (2/8). All short-term complications recovered within 3 months, and no serious or permanent complications occurred in the long-term follow. Conclusion:The endoscopic transnasal surgery is a safe and effective approach for complete resection of ORBIT stage Ⅲ OCH, with promising early results.

Objective:Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods have certain limitations. This study aims to construct a computer-aided diagnosis model for middle ear cholesteatoma based on integrated convolutional neural networks (CNNs) to improve diagnostic accuracy and efficiency.Methods:Firstly, Data were collected from patients who visited the Department of Otorhinolaryngology Head and Neck Surgery at the First People′s Hospital of Yinchuan between January 2020 and December 2021. 8 000 temporal bone CT images were collected, including 5 000 images diagnosed pathologically as middle ear cholesteatoma and 3 000 normal images. A five-fold cross-validation method was used to divide the dataset into training and testing sets. Next, a transfer learning approach was used to initialize model parameters, and the AlexNet, GoogleNet, and ResNet networks were pre-trained to extract deep features from the images. Then, the Softmax classification algorithm was applied to classify the features, resulting in three independent classifiers. These classifiers were combined using an ensemble learning method with a weighted voting approach to obtain the final diagnostic results. Finally, the model was evaluated by comparing the ensemble classifier with individual classifiers to assess its accuracy, precision, sensitivity, specificity, and diagnostic time, and a comparison with low-mid-and high-experience physician groups was conducted to comprehensively evaluate the model′s diagnostic performance.Results:The experimental results showed that the model achieved an accuracy of 88.8%(178/200), precision of 92.9%,(112/120) sensitivity of 89.8%(108/120), and specificity of 88.1%(70/80). The average diagnostic time for individual patient temporal bone CT images was reduced to 2-3 seconds. Compared to the diagnostic results from low-mid-and high-experience physician groups, the model demonstrated significant advantages and effectively assisted clinicians in making rapid and accurate middle ear cholesteatoma diagnoses.Conclusion:The proposed middle ear cholesteatoma diagnostic model based on integrated convolutional neural networks exhibits high recognition accuracy and rapid diagnostic speed, significantly improving clinical diagnostic efficiency, especially in early screening and auxiliary diagnosis, making it of considerable value in clinical practice.