Objective: To explore the current status and influencing factors of eating behaviors in adolescents, so as to provide a theoretical foundation for health promotion education among adolescents. Methods: Based on the database from Survey of Chinese Family Health Index (2021), by a random number table method, 1 065 teenagers were selected from the provincial capitals of 22 provinces and 5 autonomous regions in China, as well as 4 municipalities directly under the central government. A general characteristic questionnaire, Patient Health Questionnaire-9 (PHQ-9), Short Form of the Family Health Scale (FHS-SF), 10-item Short Version of the Big Five Personality(BFP-10), Content-based Media Exposure Scale (CM-E) and Sakata Eating Behavior Scale Short Form(EBS-SF) were used to collect information. Multivariate stepwise linear regression analysis was employed to identify and analyze related factors of eating behaviors among adolescents. Receiver operating characteristic was used to validate the predictive ability of the EBS-SF score for overweight and obesity among adolescents. Results: The average scores of BFI-10,C-ME, FHS-SF, PHQ-9 and EBS-SF were (33.08±4.64)(19.20±4.55)(38.48±6.65)(6.09±5.63)(16.75±4.36), respectively. Multivariate linear regression showed that family type (other types), agreeableness, conscientiousness, family health and depression were the main related factors of EBS-SF scores among adolescents( B =2.61,-0.42,0.20,-0.11,0.23, P <0.05).The analysis of receiver operating characteristic curve showed that the EBS-SF scores had a good ability in predicting obesity among male adolescents ( AUC= 0.73, P <0.01). Conclusions Family type, big five personality, family health,depression are the related factors of eating behaviors among adolescents. EBS-SF scores are predictive of obesity in adolescents, which would provide a new perspective for promoting healthy eating habits among adolescents.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective: To evaluate the clinical efficacy of preimplantation genetic testing for monogenic disorders(PGT-M) in families with hereditary epilepsy. Methods : Whole-exome sequencing(WES) and familial co-segregation analysis were performed to validate the pathogenicity of variants(PCDH19 c. 1031C > G and LGI1 c. 856T >G) in two monogenic epilepsy families. A clinical PGT-M pathway was implemented,and reproductive outcomes were tracked. Results: In Family 1(PCDH19 likely pathogenic variant),13 blastocysts were biopsied over two ovarian stimulation cycles,yielding 3 unaffected euploid embryos(23. 1%). After the third frozen embryo transfer,a healthy male infant was successfully delivered. Prenatal diagnosis confirmed that the fetus did not carry the pathogenic variant PCDH19. Family 2(LGI1 variant of uncertain significance,VUS) screened 14 blastocysts,identifying 2 unaffected euploid embryos(14. 3%),with the first transfer unsuccessful. A clinical pregnancy was currently ongoing following the second frozen-thawed embryo transfer(FET). Conclusion PGT-M can precisely block the vertical transmission of monogenic epileptic pathogenic variants,offering an effective reproductive intervention strategy for families with hereditary epilepsy.

Objective: To investigate the impact of endometriosis on pregnancy and delivery outcomes in patients undergoing single euploid frozen_thawed blastocyst transfer cycles following preimplantation genetic testing. Methods : A retrospective analysis was performed on clinical data from patients undergoing frozen_thawed blastocyst transfer after preimplantation genetic testing at the reproductive center of The First Affiliated Hospital of Anhui Medical University. The endometriosis group comprised 84 treatment cycles. After 1 : 3 propensity score matching , 252 treatment cycles from non_endometriosis patients were included as the control group. General characteristics and clinical outcomes were compared between the two groups. Results: There were no statistically significant differences between the two groups in terms of general characteristics , human chorionic gonadotropin ( HCG) positive rate , cycle clinical pregnancy rate per cycle , early miscarriage rate , preterm birth rate , live birth rate per cycle , cesarean section rate , delivery weeks , cumulative clinical pregnancy rate , and cumulative live birth rate (all P > 0. 05) . Conclusion Endometriosis may not reduce the pregnancy rate and live birth rate in single frozen euploid blastocyst transfer cycles .

Objective:To explore the impact of National Metabolic Management Center (MMC) mode on the metabolic indexes in different age patients with type 2 diabetic mellitus (T2DM).Methods:A prospective study method was used. A total of 798 T2DM patients underwent the MMC mode management in Shanghai Punan Hospital of Pudong New District from May 2021 to August 2024 were selected. The patients followed the MMC one-stop diagnosis and treatment management service standards to enter the registration, treatment, examination and follow-up processes. The average follow-up time was 12.0 months. The glucose and lipid metabolism indexes, blood pressure and body mass index (BMI) before intervention and after receiving the intervention by MMC were measured. The glucose and lipid metabolism indexes included triacylglycerol, total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin. The control rates of blood glucose, blood lipid, blood pressure and BMI were calculated after intervention.Results:The triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention in patients with T2DM were significantly lower than those before intervention: (1.75 ± 1.63) mmol/L vs. (2.08 ± 1.74) mmol/L, (4.37 ± 1.11) mmol/L vs. (4.88 ± 1.24) mmol/L, (2.47 ± 0.92) mmol/L vs. (2.92 ± 0.98) mmol/L, (6.54 ± 1.71) mmol/L vs. (8.12 ± 3.05) mmol/L, (9.04 ± 3.49) mmol/L vs. (12.10 ± 5.28) mmol/L and (6.89 ± 1.23)% vs. (8.85 ± 2.31)%, the HDL-C after intervention was significantly higher than that before intervention: (1.21 ± 0.31) mmol/L vs. (1.13 ± 0.29) mmol/L, and there were statistical differences ( P<0.01). The control rates of blood lipid and blood glucose after intervention in patients with T2DM were significantly higher than those before intervention: 54.6% (436/798) vs. 37.3% (298/798) and 62.0% (495/798) vs. 26.1% (208/798), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure before intervention and after intervention ( P>0.05). In T2DM patients with age <50 years and from 50 to 59 years, the triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, the HDL-C after intervention was significantly higher than that before intervention, and there were statistical differences ( P<0.05 or <0.01); the control rates of blood lipid and blood glucose after intervention were significantly higher than those before intervention, the patients with <50 years: 44.5% (114/256) vs. 27.7% (71/256) and 76.6% (196/256) vs. 28.9% (74/256), the patients with 50 to 59 years: 54.8% (86/157) vs. 28.0% (44/157) and 66.9% (105/157) vs. 24.8% (39/157), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure between before intervention and after intervention ( P>0.05). In T2DM patients with age from 60 to 69 years, the triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, and there were statistical differences ( P<0.05 or <0.01); there was no statistical differences in HDL-C before intervention and after intervention ( P>0.05); the control rates of blood lipid and blood glucose after intervention were significantly higher than those before intervention: 59.0% (177/300) vs. 47.3% (142/300) and 53.3% (160/300) vs. 25.7% (77/300), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure before intervention and after intervention ( P>0.05). In T2DM patients with aged ≥70 years, the total cholesterol, LDL-C, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, and there were statistical differences ( P<0.05 or <0.01); there were no statistical difference in triacylglycerol, HDL-C and fasting blood glucose between before intervention and after intervention ( P>0.05); the control rate of blood glucose after intervention was significantly higher than that before intervention: 48.2% (41/85) vs. 22.4% (19/85), and there was statistical difference ( P<0.01); there were no statistical differences in the control rates of BMI, blood pressure and blood lipid between before intervention and after intervention ( P>0.05). Conclusions:The intervention based on MMC mode management could effectively improve the glucose and lipid metabolism in patients with T2DM, especially for patients with aged <70 years. However, additional health guidance is needed for patients with aged ≥ 70 years to further enhance their health benefits.

Objective:To evaluate the relationship between intraoperative hypothermia and early postoperative pulmonary complications (PPCs) in pediatric patients undergoing living donor liver transplantation (LDLT).Methods:This was a retrospective study. Medical records of pediatric patients of either sex, aged 4-24 months, diagnosed with congenital biliary atresia who underwent LDLT from January 2021 to March 2023 were collected from the electronic medical record system of Tianjin First Central Hospital. The collected data included general characteristics, intraoperative conditions, and PPCs such as postoperative pediatric acute respiratory distress syndrome, pneumonia, pleural effusion, atelectasis, and pulmonary edema within 1 week after operation. Additional indicators comprised the difference in systemic immune-inflammation index (SII) between 1 day before surgery and at the end of surgery (ΔSII), concentration of hypersensitive C-reactive protein (hs-CRP) at the end of surgery, postoperative mechanical ventilation time, and duration of intensive care unit stay. Pediatric patients were divided into PPCs group and non-PPCs group based on the development of PPCs. Logistic regression analysis was used to determine the relationship between factors associated with intraoperative hypothermia and PPCs.Results:A total of 226 pediatric patients were included in the study, with 126 cases in PPCs group and 100 cases in non-PPCs group. The results of logistic regression analysis showed that pre-reperfusion hypothermia, duration of hypothermia, ΔSII and concentrations of hs-CRP at the end of operation were independent risk factors for the occurrence of PPCs ( P<0.05). The area under the receiver operating characteristic curve of pre-reperfusion hypothermia and duration of hypothermia in predicting PPCs was 0.594 (95% confidence interval [ CI] 0.521-0.668, P=0.015) and 0.702 (95% CI 0.634-0.770, P<0.001), respectively. The area under the receiver operating characteristic curve of combination of factors associated with hypothermia (pre-reperfusion hypothermia, duration of hypothermia) and inflammatory indicators (ΔSII, plasma hs-CRP concentration at the end of surgery) in predicting PPCs was 0.977 (95% CI 0.959-0.995, P<0.001). Conclusions:Pre-reperfusion hypothermia and duration of hypothermia are independent risk factors for early PPCs in infants, and their predictive value for the development of PPCs is higher when combined with ΔSII and plasma hs-CRP concentration in pediatric patients undergoing LDLT.

Objective:To evaluate the efficacy and safety of regional citrate anticoagulation (RCA) during plasma exchange (PE) in pediatric patients.Methods:We conducted a retrospective analysis of 12 critically ill children admitted to the Pediatric Intensive Care Unit (PICU) of Jinan Children's Hospital, who underwent 28 PE sessions with RCA between December 2023 and August 2024. Clinical records were reviewed to assess bleeding events, extracorporeal circuit performance, and changes in arterial blood gas parameters, serum total calcium (Ca tot), and activated clotting time before and after treatment. Results:No patients exhibited signs of increased bleeding. In one case, the procedure was discontinued prematurely due to elevated venous pressure. A significant decrease in ionized calcium (Ca ion) was observed 0.5 hours post-treatment. At the end of PE, pH, HCO 3?, base excess (BE), lactate, PaCO 2, Ca tot, and Na + levels increased, while K + and Ca ion levels decreased, with all changes being statistically significant. Four hours post-treatment, pH, HCO 3?, BE, PaCO 2, and Na + remained elevated, whereas Ca ion, lactate, and K + returned to baseline. By 12–15 hours post-treatment, all parameters—including pH, HCO 3?, BE, PaCO 2, Na +, K +, Ca ion, and lactate—had normalized, showing no significant differences from pre-treatment levels. Conclusions:RCA provides effective extracorporeal anticoagulation during pediatric PE without increasing bleeding risk. However, metabolic complications—primarily metabolic alkalosis—are common. These disturbances typically resolve spontaneously and do not lead to severe adverse events. While no ideal anticoagulant for PE has yet been established, RCA remains a safe and effective option, particularly for pediatric patients at higher risk of bleeding.

Objective To explore the role and mechanism of warm malate ringer's solution(MR)in resuscitation of the lethal triad caused by severe trauma.Methods A rat model of severe trauma was established in SPF-grade SD rats(half male and half female,weighing 200～220 g)using combined multiple injuries and hemorrhagic shock,and the rats were randomly divided into 8 groups(n=8):Sham group,only arterial and venous catheterization;Trauma(Tra)groups with different time points(10,30,60,90,120,180 min)and a Trauma group that were observed without any treatment for 180 min after model establishment.The changes of activated clotting time(ACT),reaction time(R),maximum amplitude(MA),and rate of blood clot formation(Angle)at different time points were detected by using thromboelastography,and tail bleeding,core body temperature and arterial blood gas parameters,were also observed and detected.The plasma von Willebrand Factor(vWF)level,mitochondrial respiratory control ratio in pulmonary venous endothelium,and expression levels of vascular endothelial cadherin(VE-Cadherin),peroxisome proliferator activating receptor gamma coactivator 1α(PGC1α),dynamin-related protein 1(Drp1),p-Drp1,and mitofusin 2(Mfn2)were detected to evaluate the vascular endothelial injury and mitochondrial dysfunction.Another group of SD rats were randomly divided into severe trauma group(no treatment for 180 min after injury),and MR solution at room temperature and at 37 ℃ groups.MR solution at room temperature or at 37 ℃ was given to the rats using a medical blood transfusion apparatus at 60 min post-trauma.Above indicators were observed and detected to investigate the resuscitation effect of the MR solution.Results Compared with the Sham group,the severely traumatic rats at 180 min after injury had significantly prolonged ACT and R values(P＜0.05),shortened MA and decreased Angle values(P＜0.05),extended tail bleeding time(P＜0.05),lower partial pressure of carbon dioxide(PCO2)and HCO3-and base excess(BE)levels(P＜0.05),and continuously increasing K+(P＜0.05)and decreasing Na+(P＜0.05)and Ca2+levels(P＜0.05).Additionally,plasma vWF level(P＜0.05)and protein levels of VE-cadherin,PGC1α and Mfn2 in pulmonary vein endothelium were significantly reduced(P＜0.05),the expression of p-Drp1 was enhanced and the mitochondrial respiration control rate was declined in the rats at 180 min after injury(P＜0.05).MR solution resuscitation shortened tail bleeding time(P＜0.05),increased core body temperature(P＜0.05),elevated plasma vWF level(P＜0.05),increased protein levels of VE-cadherin,PGC1α and Mfn2(P＜0.05),and decreased that of p-Drp1 protein expression(P＜0.05)when compared with the rats at 180 min after severe traumatic injury.The above effects were more significant in the rats infused with the solution at 37 ℃ than those at room temperature.Conclusion Warm MR solution significantly improves the lethal triad in rats after severe trauma,which may be associated with its improving mitochondrial function and attenuating vascular endothelial damage.