Objective: To evaluate the current situation of thermal environment in primary and secondary school classrooms during winter, and to analyze students thermal comfort needs, so as to provide a basis for improving classroom thermal environment. Methods: From December 16 to 26, 2024, a stratified cluster random sampling method was used to select 90 classrooms from 15 primary and secondary schools in centralized/air conditioned heating areas(Liaoning Province, Tianjin City, Shanghai City) and naturally ventilated areas(Anhui Province and Jiangxi Province)for on site environmental measurement. A questionnaire survey was conducted among 743 students. The differences between groups using the χ 2 test were compared. Based on actual measurement data, a predicted mean vote prepared percentage of dissatisfied (PMV-PPD) model for centralized/air conditioned classrooms and an adaptive model for naturally ventilated classrooms were established, and the thermal neutral temperature and comfort interval were calculated. Results: The average outdoor temperature during on site measurement was 4.00(0.20，7.00)℃. In classrooms with centralized or air conditioned heating systems, the measured average temperature was (19.33±2.59)℃, with a thermal comfort range of 20.35-25.35 ℃ and a thermal neutral temperature of 22.85 ℃. And 13.92% of students reported feeling cold, while 80.80% felt comfortable. In classrooms with natural ventilation, the measured average temperature was (12.26±1.83)℃, with a thermal neutral temperature of 19.67 ℃ and a thermal comfort range of 16.17-23.17 ℃. About 48.33% of students reported feeling cold, and 49.81 % felt comfortable.The results of univariate analysis showed that there were statistically significant differences in shoe thickness, temperature sensation, relative humidity sensation and wind speed sensation between centralized/air conditioned heating areas ( χ 2= 7.01 , 31.47, 13.57, 13.80,all P <0.05). There were also statistically significant differences in school stage for primary and secondary school students, body mass index, classroom location for seat, temperature sensation, relative humidity sensation and wind speed sensation between naturally ventilated areas ( χ 2=42.13, 11.13, 11.04, 60.39, 29.27, 38.46,all P <0.05). Conclusions There are differences in thermal environment and students subjective thermal comfort in primary and secondary schools under different ventilation modes in winter. The temperature standards for heated classrooms should be revised, and differentiated environmental regulation strategies should be adopted based on different ventilation methods to improve students health and comfort levels.

ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

Background and aims The mechanism of cholestatic liver injury (CLI) is unclear, and effective therapies are lacking. While peroxisome proliferator-activated receptor alpha (PPARα) agonists show potential hepatoprotective effect and pyroptosis is implicated in hepatocellular damage, how PPARα activation mitigates lithocholic acid (LCA)-induced pyroptosis remains unknown. Methods The hepatoprotective effect of PPARα agonists was evaluated in a mouse model of intrahepatic cholestasis induced by LCA. Liver injury was assessed via serum biochemistry, hematoxylin and eosin and TUNEL staining, and electron microscopy. Pyroptosis pathways were analyzed using real-time quantitative polymerase chain reaction, Western blot, and co-immunoprecipitation. Results Combined morphological, histopathological, and biochemical analyses confirmed that PPARα activation protects against CLI. Compared with LCA treatment alone, PPARα activation significantly attenuated the elevation of serum lactate dehydrogenase (LDH), the increased TUNEL-positive cells, and the formation of hepatocyte membrane pores. Mechanistically, PPARα activation suppressed both NOD-like receptor protein 3 (NLRP3) inflammasome-mediated pyroptosis and apoptosis protease-activating factor-1 (APAF-1)/CASPASE-3/GSDME-mediated pyroptosis. Furthermore, PPARα agonist pretreatment inhibited activation of the nuclear factor-kappa B (NF-κB) and forkhead box O1 (FOXO1) signaling pathways. Conclusions PPARα protects against LCA-induced CLI by inhibiting both NLRP3 inflammasome-mediated pyroptosis associated with NF-κB and APAF-1/CASPASE-3/GSDME-mediated pyroptosis associated with the FOXO1 signaling pathway.

We evaluated the content fidelity of written discharge instructions (WDIs) for pediatric patients with mild traumatic brain injury (mTBI). In May 2023, copies of WDIs were collected from 55 academic hospitals across South Korea. Each document was scored for the fidelity of medical advice based on the “Counsel” section of the Pediatric mTBI Guideline Checklist of the Centers for Disease Control and Prevention (maximum 10 points). Among respondent 46 emergency departments, 21 (45.7%) provided WDIs to patients with mTBI. The median score was 6.0 (interquartile range, 4.0-7.0), indicating that the fidelity of the WDIs needs improving.

To explore the clinical significance of decreased serum immunoglobulin (Ig) A levels in patients with IgG4-related disease (IgG4-RD).

Objective:To analyze the incidence of pregnancy complications and maternal-neonatal outcomes in women with a history of preconception metabolic and bariatric surgery (MBS).Methods:This study was a retrospective cohort study. Pregnant women with singleton pregnancy who delivered in Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, from September 2019 to December 2024 were selected as the observation subjects. After propensity score matching, 42 women in the MBS group and 157 women in the control group were finally included. The general clinical characteristics, pregnancy status and maternal-neonatal outcomes of the two groups were compared and analyzed.Results:(1) There were no statistically significant differences in the age, proportion of preconception obesity, chronic hypertension, preconception diabetes and primipara between the MBS group and the control group (all P>0.05). The median interval between surgery and pregnancy of pregnant women in the MBS group was 14.0 months (6.0, 27.5 months). Twenty-nine pregnant women (69%, 29/42) were pregnant after 1 year of surgery, and 13 pregnant women (31%, 13/42) were pregnant within 1 year. (2) The levels of hemoglobin, serum iron and triglyceride in the MBS group were significantly lower than those in the control group in the second and third trimester (all P<0.05), but there were no statistically significant differences in the levels of low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, total cholesterol and albumin between the two groups (all P>0.05). (3) Compared with the control group, the incidence of gestational diabetes mellitus in MBS group [21.7% (34/157) vs 7.1% (3/42)] and the proportion of large for gestational age [23.6% (37/157) vs 2.4% (1/42)] were lower; the incidence of anemia [6.4% (10/157) vs 33.3% (14/42)], fetal growth restriction [7.0% (11/157) vs 23.8% (10/42)] and small for gestational age [3.8% (6/157) vs 19.0% (8/42)] were higher; the differences were statistically significant (all P<0.05). There were no significant differences in the cesarean section rate, premature rupture of membranes rate, postpartum hemorrhage ≥1 000 ml rate, gestational age at delivery and preterm birth rate between the two groups (all P>0.05). The neonatal birth weight of the MBS group was significantly lower than that of the control group [(3 044±523) vs (3 256±491) g, P=0.016], but the proportion of neonates with 1-minute Apgar score<7 and the rate of neonatal intensive care unit admission were not statistically significant (all P>0.05). Conclusions:Women who got pregnant after MBS had lower neonatal weight, decreased incidence of gestational diabetes mellitus and large for gestational age, but higher incidence of small for gestational age and anemia in late pregnancy. It is necessary to focus on the nutritional management of pregnant women with MBS before pregnancy, improve anemia, and strengthen the ultrasound follow-up of fetal growth to optimize the perinatal outcome.

Objective:To develop and validate a deep learning-based multimodal model integrating clinical and radiomic features for predicting acute kidney injury（AKI）risk after partial nephrectomy.Methods:A retrospective analysis was conducted on 416 patients who underwent partial nephrectomy at Zhongshan Hospital，Fudan University from January 2023 to January 2025. The cohort included 100 AKI patients［defined by a ≥ 25% reduction in postoperative evaluated glomerular filtration rate（eGFR）within 48 hours sustained for >24 hours］and 316 non-AKI patients（1∶3 ratio，randomly matched with 16 additional cases for redundancy）. Clinical and radiomic features were extracted from preoperative contrast-enhanced CT scans using PyRadiomics. Demographics included 259 males and 158 females，with a median age of 57（49，65）years，body mass index of（24.1 ± 3.3）kg/m2，preoperative eGFR of（88.5 ± 18.3）ml/（min·1.73 m2），postoperative eGFR（48-hour）of（76.0 ± 21.9）ml/（min·1.73 m2），Zhongshan Score（ZSscore）of 7.34 ± 2.01，and R.E.N.A.L. score of 7.50 ± 1.71. All tumors were T 1a stage. Patients were divided into training（n = 312）and test（n = 104）sets（3∶1 ratio）. A clinical model was constructed via multivariate logistic regression，while radiomic and combined（clinical + radiomic）models utilized an artificial neural network（ANN）with 1 input layer，5 hidden layers，1 output layer，and 10 5 training epochs. Model performance was evaluated by using receiver operating characteristic（ROC）curves and area under the curve（AUC），and was compared to the Martini model. Feature contributions were interpreted via SHapley Additive exPlanations（SHAP）. Results:In the test set，the results of multivariate logistic regression showed that patient’s weight，preoperative eGFR，R.E.N.A.L. score，surgical approach，and operation time were risk factors for AKI（ P < 0.05）. The AUC of the clinical feature prediction model constructed based on the above factors was 0.852（95% CI 0.775?0.929）. In the test set，the AUC of the Martini model was 0.725（95% CI 0.565?0.791）. The radiomic model，trained on 1 315 imaging features，achieved an AUC of 0.898（95% CI 0.804?0.993）with 94.2%（98/104）accuracy. The combined clinical and radiomic model，integrating 1 315 radiomic features and clinical features，demonstrated superior performance with an AUC of 0.946（95% CI 0.887?1.000）and 96.2%（100/104）accuracy，outperforming both the clinical model（ P = 0.03）and the Martini model（ P < 0.01）. SHAP analysis identified the top five predictors in the combined model：ZSscore（SHAP value：0.78），long-run low gray-level emphasis（SHAP value：0.61），run-length non-uniformity（SHAP value：0.58），size-zone non-uniformity（SHAP value：0.46），and gray-level co-occurrence matrix joint energy（SHAP value：0.36）. Conclusions:The deep learning-based multimodal model integrating clinical and radiomic features accurately predicts AKI risk after partial nephrectomy，offering a novel strategy for preoperative risk stratification and personalized intervention.

Objective:To explore the relationships between physical activity and cognitive impairment in older adults aged ≥65 years in longevity areas in China.Methods:A total of 6 081 older adults aged ≥65 years from the Healthy Ageing and Biomarkers Cohort Study in China in 2021 were included in this study. Information about their demographic characteristics, lifestyles, and chronic disease histories were collected, the intensity of physical activity was evaluated by using Physical Activity Scale for the Elderly, and the cognitive function was evaluated by using Mini-Mental State Examination Scale (Chinese version). Multifactorial logistic regression model was used to analyze the associations between different levels and types of physical activity and cognitive impairment in older adults.Results:In the 6 081 older adults, 1 829 (30.1%) had cognitive impairment. After adjusting for confounders, older adults with T2 and T3 levels of physical activity had lower risks for cognitive impairment compared with those with T1 levels of physical activity, with ORs of 0.47 (95% CI: 0.40-0.55) and 0.22 (95% CI: 0.18-0.28). The results of different types of physical activities showed that the ORs in leisure activity T2 and T3 groups were 0.52 (95% CI: 0.44-0.63) and 0.49 (95% CI: 0.41-0.58), and the ORs in housework activity T2 and T3 groups were 0.36 (95% CI: 0.30-0.42) and 0.19 (95% CI: 0.16-0.24). There was no significant association between work-related activity and cognitive impairment. Conclusion:There is a negative association between the intensity level of physical activity and cognitive impairment, and active leisure and household activities might reduce the risk for cognitive impairment.

Objective:To investigate the therapeutic efficacy of proximal ulnar osteotomy combined with autologous iliac bone grafting for the repair of chronic elbow varus with posteromedial rotational instability caused by coronoid process bone defects.Methods:A retrospective analysis was conducted on the data of 9 male patients with chronic elbow varus and posteromedial rotational instability caused by coronoid process bone defects who were treated with proximal ulnar osteotomy combined with autologous iliac bone grafting at Sichuan Provincial Orthopaedic Hospital from January 2017 to May 2024. The patients' ages ranged from 20 to 46 years, with an average of 29.78±8.77 years old. There were 3 cases on the right side and 6 on the left side. The height of the bone defect on the anteromedial surface of the coronoid process ranged from 5.24 to 12.23 mm, with an average of 9.01±2.61 mm. The time from injury to surgery ranged from 5 to 9 months, with an average of 6.78±1.39 months. During the operation, proximal ulnar osteotomy combined with autologous iliac bone grafting was used to repair the coronoid process bone defect. Simultaneously, the lateral ulnar collateral ligament was reconstructed using the suture anchors (3 patients) or repaired with autologous palmaris longus tendon (6 patients). Finally, a hinged external fixator was applied in all cases. The range of motion (ROM) of the elbow joint was recorded before and after the surgery. The visual analogue score (VAS) was used to evaluate the degree of pain, and the Mayo elbow performance score (MEPS) was employed to assess the elbow joint function.Results:All surgical incisions healed primarily, and no case of infection occurred. All 9 patients were followed up, with a follow-up period ranging from 11 to 25 months, and an average of 17.78 ± 5.16 months. The bone grafts all healed, with a healing time ranging from 3 to 5 months, and an average of 3.56±0.73 months. The elbow extension angles before surgery, at 6 months postoperatively, and at the last follow-up were 24.44°±14.24°, 11.11°±9.28°, and 2.22°±4.41°, respectively. The flexion angles were 118.89°±5.46°, 123.33°±5.00°, and 128.89°±3.33°, respectively. The flexion-extension ROMs were 94.44°±18.28°, 112.22°±13.02°, and 126.67°±7.07°, respectively. The pronation angles were 61.67°±6.12°, 61.67°±3.54°, and 67.22°±5.07°, respectively. The differences in these angles were all statistically significant ( P<0.05). The supination angles before surgery, at 6 months postoperatively, and at the last follow-up were 77.22°±7.55°, 78.89°±6.01°, and 79.44°±6.35°, respectively. The rotational ROMs were 138.89°±11.93°, 140.56°±7.26°, and 146.67°±10.31°, respectively. No statistically significant differences were observed ( P>0.05). The VAS scores before surgery, at 6 months postoperatively, and at the last follow-up were 6.89±0.78 points, 2.33±1.00 points, and 0(0, 0.5) points, respectively, and the difference was statistically significant ( H=23.216, P<0.001). The MEPS scores were 42.22±5.65 points, 76.67±7.05 points, and 95.00±7.50 points, respectively, and the difference was also statistically significant ( F=134.212, P<0.001). The cantilever test confirmed that none of the patients had elbow joint instability symptoms, and the patients were satisfied with the treatment effect. Conclusions:Proximal ulnar osteotomy combined with autologous iliac bone grafting, simultaneous repair or reconstruction of the lateral ligament complex, and fixation with a hinged external fixator is an effective treatment approach for chronic elbow varus with posteromedial rotational instability. This method can alleviate elbow pain, improve the ROM, and enhance elbow function in patients, yielding satisfactory short-term outcomes.

Objective:To explore the clinical and biochemical characteristics of patients with hyperuricemia according to different pathophysiological subtypes. This may facilitate rapid identification of each subtype in clinical settings and provide evidence for personalized urate-lowering treatment.Methods:Patients diagnosed with hyperuricemia at the Department of Endocrinology and Metabolism, Tenth People′s Hospital of Tongji University between October 2015 and January 2024 were included. Based on 24-h urinary uric acid excretion(UUE) and the fractional excretion of uric acid(FEUA), patients were classified into four subtypes: renal uric acid underexcretion type(RUE), renal uric acid overload type(ROL), combined type and renal normal type. Clinical and biochemical variables-including sex, age, BMI, smoking history, comorbidities, blood glucose, and serum uric acid-were analyzed. Binary logistic regression was used to identify factors associated with each subtype.Results:Among 2 073 patients with hyperuricemia, 55.8% were RUE type, 6.9% were ROL type, 31.3% were combined type and 6.0% were renal normal type. RUE type had lower blood glucose levels and fewer cases of diabetes [ OR=0.685(95% CI 0.478-0.980), P<0.05]. ROL type showed a higher incidence of tophi, positively correlated with smoking history [ OR=1.672(95% CI 1.009-2.771), P<0.05], and negatively correlated with serum uric acid levels [ OR=0.994(95% CI 0.990-0.998), P=0.001]. Combined type had the youngest onset age, shortest disease duration, and the fewest comorbidities, and was associated with higher BMI [ OR=1.035(95% CI 1.001-1.070), P<0.05]. Renal normal type had the oldest age of onset, the highest proportion of female patients and comorbidities, and was associated with lower serum uric acid levels[ OR=0.994(95% CI 0.989-0.998), P=0.007], higher BMI[ OR=1.064(95% CI 1.003-1.129), P<0.05], and increased tophi incidence[ OR=2.261(95% CI 1.206-4.237), P=0.011]. Conclusion:Each pathophysiological subtype of hyperuricemia exhibits distinct clinical and biochemical characteristics, which may serve as useful references for subtype identification and personalized management in clinical practice.