Objective To observe the value of 80 kVp combined with artificial intelligence iterative reconstruction(AIIR)in lower extremity CT angiography(CTA)of diabetic foot.Methods Sixty patients with diabetic foot were prospectively enrolled and divided into experimental group and control group(each n=30).Lower extremity CTA was performed using 80 kVp combined with AIIR in experimental group,while using 120 kVp combined with hybrid iterative reconstruction(HIR)in control group.The subjective and objective evaluation results of imaging quality,as well as the radiation dose of scanning were compared between groups.Results Compared with control group,images in experimental group showed higher subjective scores(5[5,5]vs.4[4,4]),displayed more branches of lower limb arteries(both P＜0.05),while the radiation dose decreased by 59.76％ ([8.29±0.53]mSv vs.[20.60±2.42]mSv).CT values,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of each lower extremity artery segments were higher,while the noise of each lower extremity artery segments in experimental group were lower than those in control group(all P＜0.05).Conclusion 80 kVp combined with AIIR could reduce radiation dose and improve imaging quality of lower extremity CTA of diabetic foot,hence being helpful to displaying small arteries of lower extremity,such as dorsalis pedis arteries and common plantar metatarsal arteries.

ObjectiveTo analyze and validate how Jiawei Sanpian decoction treats migraines by integrating network pharmacology, molecular docking technology, and experimental studies.MethodUsing network pharmacology, the chemical components and core target proteins of the Jiawei Sanpian decoction were analyzed. Key chemical components were docked with core targets using molecular docking, and the results were visualized. Nitroglycerin was injected into the dorsal cervical region to establish a rat migraine model. Finally, experiments were conducted to verify the effects of Jiawei Sanpian on related pathways and targets.ResultsFour notable chemical components were identified, namely, β-sitosterol, quercetin, mairin, and kaempferol. Five representative targets were identified, namely, insulin-like growth factor 1 (IGF-1), matrix metallopeptidase 2 (MMP-2), interleukin-2 (IL-2), superoxide dismutase 2 (SOD2), and inducible nitric oxide synthase (NOS2). Molecular docking results revealed that the minimum binding energies between the four chemical components and the five targets were below −5 kcal/mol, indicating favorable binding activity. Enzyme linked immunosorbent assay (ELISA) results demonstrated the efficacy of high-dose Jiawei Sanpian decoction in treating migraine by targeting IGF-1, IL-2, MMP-2, and SOD2 (P .001). Real-time quantitative polymerase chain reaction (RT-qPCR) results demonstrated the effectiveness of high-dose Jiawei Sanpian decoction in treating migraine by targeting IGF-1, IL-2, MMP-2, and SOD2 (P .001). After using erastin, the therapeutic effect of Jiawei Sanpian decoction declined.ConclusionThis study provides initial insights into the complex and multilayered therapeutic mechanisms of Jiawei Sanpian decoction in treating migraine, primarily through its diverse components, targets, and pathways. These findings indicate that Jiawei Sanpian decoction may exert its effects mainly through processes linked to the mitochondrial inflammatory pathway, thereby providing therapeutic benefits for migraine.

Objective:To analyze the clinical characteristics of adverse reactions caused by dinutuximab β for the treatment of neuro-blastoma(NB)in China and to provide safety evidence for the rational use of dinutuximab β in clinical practice.Methods:Clinical data were retrospectively collected from 16 pediatric patients with NB who had been treated with dinutuximab β at Shanghai Children's Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine from January 2022 to November 2023,and the adverse reactions caused by dinutuximab β were summarized and analyzed.Results:The male-to-female ratio was 5:3 among the 16 children with NB.The retroperitoneum was the main initial site of involvement,accounting for 75%.Thirteen(81.25%)patients had high-risk NB.The adverse reactions caused by dinutuximab β mainly included decreased hemoglobin,fever,vomiting,and diarrhea.The inci-dence of adverse reactions was highest in the first course of treatment,and the median time of adverse reactions was 2-5 days.Conclu-sion:Targeted monitoring should be carried out at an early stage during dinutuximab β administration.Adverse reactions should be de-tected and managed early to ensure the safety of medication for children.

Objective To investigate the prevalence of scoliosis and congenital heart disease(CHD)and their correlation among children and adolescents of Drung nationality in Yunnan Province.Methods A cross-sectional survey was conducted in November 2022 among all Drung school-aged children and adolescents aged 5-18 years in Gongshan Drung and Nu Autonomous County,Yunnan Province.Visual inspection,Adams for-ward flexion test,and trunk rotation angle(ATR)measurement were comprehensively used for school prelim-inary screening of scoliosis.Individuals who tested positive in the school preliminary screening underwent fur-ther X-ray examination for auxiliary diagnosis.Cardiac auscultation and echocardiography were used for school preliminary screening of CHD.The personal information of the screening subjects,the screening results,etc.were recorded.The prevalence of scoliosis and CHD among children and adolescents of the Drung nationality and the relationship between the two diseases were statistically analyzed,and the positive predictive value of school-based scoliosis screening and its influencing factors were also analyzed.Results A total of 1 036 chil-dren and adolescents of Drung nationality were enrolled,with a mean age of(10.72±3.75)years,icluding 542 males and 494 females.A total of 45 subjects tested positive for scoliosis in the school preliminary screening,with a preliminary positive rate of 4.34%.A total of 22 cases were finally diagnosed with scoliosis,with a prevalence rate of 2.12%.Among them,21 cases were idiopathic scoliosis(accounting for 95.45%),and 1 case was congenital scoliosis(accounting for 4.55%).The prevalence rate was higher in females(2.83%)than that in males(1.48%),higher in the 10 to 18-year-old group(2.30%)than that in the 5 to<10-year-old group(1.87%),and higher in the secondary school group(2.78%)than that in the primary school group(1.78%),hut there were no statistically significant differences(P>0.05).Most idiopathic scoliosis cases were mild(Cobb angle 10° to<20°,90.48%)and classified as Lenke type Ⅴ(57.14%).Two cases of CHD were confirmed,both of which were atrial septal defects,with a prevalence rate of 0.19%.The co-occurrence rate of idiopathic scoliosis and CHD was 4.76%(1/21).The positive predictive value of school-based scoliosis pre-liminary screening was only 48.89%.When the BMI was<18.5 kg/m2,the positive predictive value was sig-nificantly higher than that for BMI≥18.5 kg/m2(P<0.05).Conclusion The prevalence rate of scoliosis a-mong adolescents of the Drung ethnic group in Yunnan Province is 2.12%,predominantly idiopathic scoliosis,with Lenke type V being the most common classification.The prevalence rate of congenital heart disease is 0.19%.BMI is a significant influencing factor for the positive predictive value of school-based scoliosis prelimi-nary screening.

Objective:To construct a nomogram based on preoperative MRI imaging features for the prediction of muscle-invasive upper urinary tract urothelial carcinoma（UTUC）and evaluate its performance.Methods:This retrospective cohort study analyzed the clinical data of 99 UTUC patients treated at the First Affiliated Hospital of Nanjing Medical University from April 2018 to May 2024. Among them，69（69.7%）were male and 30（30.3%）were female，with a median age of 67.0 years. All patients underwent preoperative MRI and radical nephroureterectomy. According to postoperative pathology，tumors staged ≥ T 2 were assigned to the muscle-invasive group，and those staged ≤ T 1 were assigned to the non-muscle-invasive group. Baseline data，pathological information，and imaging characteristics were collected and compared between the two groups. Logistic regression analysis was performed to identify risk factors for muscle-invasive UTUC，and a nomogram was constructed. The diagnostic performance of the model was assessed using receiver operating characteristic（ROC）curves，calibration curves，and decision curve analysis（DCA）. Results:Among the 99 patients，70（70.7%）were diagnosed with muscle-invasive UTUC，and 29（29.3%）with non-muscle-invasive UTUC. The muscle-invasive group had significantly larger tumor size［4.5（2.8，7.0）cm vs. 3.0（2.3，4.5）cm， P = 0.029］，a higher incidence of multifocal tumors［37.1%（26/70）vs. 3.5%（1/29）， P < 0.001］，patchy tumors［30.0%（21/70）vs. 6.9%（2/29）， P = 0.019］，spiculated tumor margins［52.9%（37/70）vs. 17.2%（5/29）， P = 0.001］，tumor compression on renal parenchyma or periureteral/peripelvic fat［68.6%（48/70）vs. 10.3%（3/29）， P < 0.001］，high-grade pathology［92.9%（65/70）vs. 75.9%（22/29）， P = 0.043］，lymph node metastasis［28.6%（20/70）vs. 0， P = 0.001］，and lymphovascular invasion［42.9%（30/70）vs. 10.3%（3/29）， P=0.002］. The apparent diffusion coefficient（ADC）values［0.9（0.8，1.1）× 10 -3 mm2/s vs. 1.1（1.0，1.4）× 10 -3 mm2/s， P < 0.001］and normalized ADC（NADC）values［0.8（0.7，1.0）vs. 0.9（0.8，1.1）， P = 0.002］were significantly lower in the muscle-invasive group. Univariate logistic regression identified multifocality，patchy tumor patterns，spiculated tumor margins，tumor compression on renal parenchyma or periureteral/peripelvic fat，and low NADC values as risk factors for muscle-invasive UTUC（all P < 0.05）. Multivariate analysis revealed multifocality（ OR = 17.903，95% CI 1.650 - 194.253， P = 0.018），tumor compression on renal parenchyma or perirenal / ureteral fat（ OR = 14.690，95% CI 3.069 - 70.323， P < 0.001），and low NADC value（ OR = 0.016，95% CI 0.001 - 0.471， P = 0.017）as independent risk factors. A nomogram was constructed based on these factors. The area under the ROC curve（AUC）of the model was 0.898（95% CI 0.838 - 0.957），with an optimal cutoff value of 0.639. The model showed an accuracy of 83.8%，sensitivity of 81.4%，and specificity of 89.7%. Calibration curves indicated good calibration，and DCA showed that the model provided substantial clinical net benefit. Conclusions:This study constructed a nomogram based on preoperative MRI features，including tumor multifocality，compression on renal parenchyma or periureteral/peripelvic fat and NADC value，which demonstrates good predictive performances for muscle-invasive UTUC.

Objective:To explore an evaluation method for the operational status of tertiary public hospitals, identify strengths and weaknesses in hospital operations, and provide decision-making support for hospital managers.Methods:In 2023, an evaluation index system for the operation of tertiary public hospitals was constructed based on literature analysis and the Delphi method. The combined weights of the evaluation indexes were determined using the cooperative game theory method. An evaluation model for hospital operational status based on the extensible cloud model was established, with the determination of evaluation index thresholds and standards based on the operational data of a tertiary public hospital in Liaoning Province from 2020 to 2022. The operational status of the hospital was then comprehensively evaluated using the evaluation model based on the hospital′s operational data from 2023.Results:The constructed evaluation index system for the operation of tertiary public hospitals included five dimensions and 14 indicators: financial health, service efficiency, medical quality, satisfaction, and sustainable development. The indicators with higher weight values were net cash flow (0.135), average appointment rate for outpatient patients (0.088), and budget savings from government procurement (0.087). The overall operational status evaluation score of the sample hospital was 4.48, with an evaluation grade of level V. The scores for the dimensions of financial health, medical quality, and sustainable development were 4.99, 4.74, and 5.00, respectively, all reaching level V. The scores for service efficiency and satisfaction were 4.00 and 3.70, respectively, both at level Ⅳ.Conclusions:The evaluation index system and the determined weights constructed in this study were reasonable to a certain extent. The hospital operational status evaluation model based on the extensible cloud model can objectively reflect the operational status of the hospital, and the evaluation results can provide decision-making support for managers.

Objective:To explore the differences between the Phoenix sepsis scoring system including Phoenix sepsis score (PSS) and Phoenix-8 organ dysfunction score (hereinafter referred to as Phoenix-8) and the commonly used pediatric sepsis scores in evaluating clinical characteristics and prognostic analysis of pediatric patients with severe sepsis diagnosed under traditional standards, namely the diagnostic criteria from the 2005 International Pediatric Sepsis Consensus Conference.Methods:This study was a retrospective observational study. From December 2020 to March 2023, 202 pediatric patients with severe sepsis meeting the inclusion criteria were admitted to the Children's Hospital of Nanjing Medical University. Based on the sepsis diagnostic criteria outlined in the International Consensus Criteria for Pediatric Sepsis and Septic Shock (2024), the pediatric patients were categorized into a sepsis group and a non-sepsis group. Sepsis group was further subdivided into a death subgroup and a survival subgroup based on the outcomes. The age, hospitalization costs, disease outcome indicators (e.g., mortality rate and incidence of septic shock), major organ (e.g., heart, liver, lungs, and kidneys) damage and their correlations, as well as PSS, Phoenix-8 and commonly used pediatric sepsis scores (e.g., pediatric sequential organ failure assessment (pSOFA), pediatric risk of mortality score Ⅲ (PRISM Ⅲ), pediatric logistic organ dysfunction-2 score (PELOD-2), pediatric multiple organ dysfunction score (P-MODS), pediatric critical illness score (PCIS), and pediatric early warning score (PEWS)) were collected and compared. Receiver operating characteristic (ROC) curve and precision-recall curve were plotted to evaluate the predictive ability of PSS, Phoenix-8, and commonly used pediatric sepsis scores for mortality risk in pediatric patients with severe sepsis under traditional standards. Predictive performance was quantified using the area under the ROC curve (AUROC). Univariate logistic regression analysis was employed to quantify the odds ratios of PSS and Phoenix-8 for predicting mortality risk. Patients with severe sepsis under traditional standards were further stratified into subgroups based on complications and comorbidities, including central nervous system (CNS) diseases, multiple infections, cardiovascular system diseases, shock, and malignancies. The Hosmer-Lemeshow goodness-of-fit test was used to assess calibration of PSS and Phoenix-8, and the DeLong test was used to compare whether there were statistically significant differences in the AUROC of PSS and Phoenix-8 for predicting mortality risk among different subgroups of pediatric patients. Results:Compared with those in non-sepsis group, pediatric patients in sepsis group were significantly older ( Z=-2.92, P<0.05) with higher incidences of septic shock and mortality, hospitalization costs, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, PSS, and Phoenix-8 (with χ2 values of 21.28 and 13.64, respectively, Z values of -1.99, -5.33, -5.10, -8.55, -6.91, -10.98, and -9.93, respectively, P<0.05), and lower PCIS ( Z=-3.34, P<0.05). Compared with those in survival subgroup, hospitalization costs, PSS, Phoenix-8, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, and P-MODS of pediatric patients in death subgroup was significantly higher (with Z values of -2.50, -3.50, -2.47, -5.11, -3.84, -2.94, -3.61, and -3.04, respectively, P<0.05). Compared with those in survival subgroup, the incidences of lung damage and liver damage of pediatric patients in death subgroup were also significantly higher (with χ2 values of 6.20 and 10.94, respectively, P<0.05), and 64.7% (97/150) of patients exhibited two or more concurrent organ damage. For predicting mortality risk in pediatric patients with severe sepsis under traditional standards, the AUROC values for PRISM Ⅲ, PCIS, PEWS, pSOFA, PELOD-2, P-MODS, PSS, and Phoenix-8 were approximately 0.70, with optimal cutoff values of 17.5, 91.0, 5.5, 4.5, 2.5, 4.5, 3.5, and 4.5, respectively; PELOD-2 demonstrated the highest sensitivity (0.83); while PRISM Ⅲ, PSS, and Phoenix-8 showed high specificity (>0.80). Univariate logistic regression analysis showed that for every 1-point increase in the PSS within 24 hours of pediatric intensive care unit admission, the relative risk of mortality increased by 63.7% (with odds ratio of 1.64, 95% confidence interval of 1.34-1.99, P<0.05). Similarly, for every 1-point increase in the Phoenix-8, the relative risk of mortality increased by 37.5% (with odds ratio of 1.38, 95% confidence interval of 1.18-1.60, P<0.05). The AUROC values (around 0.80) of PSS and Phoenix-8 for predicting mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases were relatively high. In contrast, the AUROC values (0.60-0.80) for predicting mortality risk in pediatric patients with severe sepsis combined with shock or malignant tumors were moderate. All models passed the Hosmer-Lemeshow goodness-of-fit test ( P>0.05). The DeLong test indicated no statistically significant differences in predictive ability between PSS and Phoenix-8 across subgroups of pediatric patients ( P>0.05). Conclusions:PSS and Phoenix-8 exhibited higher specificity than most of the commonly used pediatric sepsis scores in predicting mortality risk under traditional standards. Both scores performed much better in predicting the mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases.

Objective To explore the mechanism of Lidan Huatan Huoxue Decoction improving cognitive impairment caused by obesity based on metabolomics.Methods Twenty-four 6-week-old male SD rats were randomly divided into a normal group fed with regular diet(Con,n=6)and a modeling group fed with high-fat and high-sugar diet(n=18).Rats with a body mass that is 20%higher than the standard body mass of their age-matched peers fed with ordinary diet were considered to have a successful obese model established.The presence of cognitive impairment was assessed by Morris water maze and Barnes maze tests.After the obese-induced cognitive impairment(OICI)model was established,the modeling rats were randomly divided into a model group(Model,n=6),a donepezil group(Donepezil,n=6),and a Lidan Huatan Huoxue Decoction group(LHH,n=6).Drugs were administered to the donepezil and LHH groups by gastric intubation.The donepezil group was administered with a dose of 0.45 mg·(kg·d)-1,while the LHH group was administered with a dose of 25 g·(kg·d)-1.The normal and model groups were given the same volume of normal saline by gastric intubation for 8 weeks.Before the rats were sacrificed,water maze and Barnes maze experiments were conducted to assess cognitive function.After sacrifice,specimens were collected for biochemical and histological examination of liver tissue and brain tissue.Non-targeted metabolomic analysis using liquid chromatography-mass spectrometry(LC-MS)was performed on feces,serum,and brain tissue to analyze changes in differential metabolites in rats.Results Compared with the model group,the intervention of Donepezil and LHH effectively improved the learning and memory ability of OICI rats(P<0.05 or P<0.01),inhibited the overactivation of hippocampal microglia,and increased the number of hippocampal synaptic proteins.LHH improved metabolic-related indicators in OICI rats(P<0.05 or P<0.01).Metabolomic analysis showed significant differences in metabolites in feces,serum,and brain tissue between the model group and the normal group.The main affected pathways in fecal metabolites included steroid biosynthesis,caffeine metabolism,lysosome,vitamin B6 metabolism,phenylalanine,tyrosine,and tryptophan biosynthesis.The main affected pathways in serum metabolites included central carbon metabolism in cancer,pentose phosphate pathway,mineral absorption,protein digestion and absorption,and aminoacyl-tRNA biosynthesis.The main affected pathways in brain tissue metabolites included glycerophospholipid metabolism,β-alanine metabolism,propionic acid metabolism,niacin and nicotinamide metabolism,and caffeine metabolism.After LHH intervention,fecal metabolites showed the most significant changes,mainly involving vitamin B6 metabolism,vitamin digestion and absorption,histidine metabolism,fructose and mannose metabolism,and steroid biosynthesis.Conclusion LHH can improve cognitive impairment in obese rats mainly by regulating fecal metabolites.The main pathways involved include vitamin B6 metabolism,vitamin digestion and absorption,histidine metabolism,fructose and mannose metabolism,and steroid biosynthesis.Among them,vitamin B6 metabolism and vitamin digestion and absorption may be the most important pathways.

Objective To explore the mechanism of Lidan Huatan Huoxue Decoction improving cognitive impairment caused by obesity based on metabolomics.Methods Twenty-four 6-week-old male SD rats were randomly divided into a normal group fed with regular diet(Con,n=6)and a modeling group fed with high-fat and high-sugar diet(n=18).Rats with a body mass that is 20%higher than the standard body mass of their age-matched peers fed with ordinary diet were considered to have a successful obese model established.The presence of cognitive impairment was assessed by Morris water maze and Barnes maze tests.After the obese-induced cognitive impairment(OICI)model was established,the modeling rats were randomly divided into a model group(Model,n=6),a donepezil group(Donepezil,n=6),and a Lidan Huatan Huoxue Decoction group(LHH,n=6).Drugs were administered to the donepezil and LHH groups by gastric intubation.The donepezil group was administered with a dose of 0.45 mg·(kg·d)-1,while the LHH group was administered with a dose of 25 g·(kg·d)-1.The normal and model groups were given the same volume of normal saline by gastric intubation for 8 weeks.Before the rats were sacrificed,water maze and Barnes maze experiments were conducted to assess cognitive function.After sacrifice,specimens were collected for biochemical and histological examination of liver tissue and brain tissue.Non-targeted metabolomic analysis using liquid chromatography-mass spectrometry(LC-MS)was performed on feces,serum,and brain tissue to analyze changes in differential metabolites in rats.Results Compared with the model group,the intervention of Donepezil and LHH effectively improved the learning and memory ability of OICI rats(P<0.05 or P<0.01),inhibited the overactivation of hippocampal microglia,and increased the number of hippocampal synaptic proteins.LHH improved metabolic-related indicators in OICI rats(P<0.05 or P<0.01).Metabolomic analysis showed significant differences in metabolites in feces,serum,and brain tissue between the model group and the normal group.The main affected pathways in fecal metabolites included steroid biosynthesis,caffeine metabolism,lysosome,vitamin B6 metabolism,phenylalanine,tyrosine,and tryptophan biosynthesis.The main affected pathways in serum metabolites included central carbon metabolism in cancer,pentose phosphate pathway,mineral absorption,protein digestion and absorption,and aminoacyl-tRNA biosynthesis.The main affected pathways in brain tissue metabolites included glycerophospholipid metabolism,β-alanine metabolism,propionic acid metabolism,niacin and nicotinamide metabolism,and caffeine metabolism.After LHH intervention,fecal metabolites showed the most significant changes,mainly involving vitamin B6 metabolism,vitamin digestion and absorption,histidine metabolism,fructose and mannose metabolism,and steroid biosynthesis.Conclusion LHH can improve cognitive impairment in obese rats mainly by regulating fecal metabolites.The main pathways involved include vitamin B6 metabolism,vitamin digestion and absorption,histidine metabolism,fructose and mannose metabolism,and steroid biosynthesis.Among them,vitamin B6 metabolism and vitamin digestion and absorption may be the most important pathways.

Objective To observe the value of 80 kVp combined with artificial intelligence iterative reconstruction(AIIR)in lower extremity CT angiography(CTA)of diabetic foot.Methods Sixty patients with diabetic foot were prospectively enrolled and divided into experimental group and control group(each n=30).Lower extremity CTA was performed using 80 kVp combined with AIIR in experimental group,while using 120 kVp combined with hybrid iterative reconstruction(HIR)in control group.The subjective and objective evaluation results of imaging quality,as well as the radiation dose of scanning were compared between groups.Results Compared with control group,images in experimental group showed higher subjective scores(5[5,5]vs.4[4,4]),displayed more branches of lower limb arteries(both P＜0.05),while the radiation dose decreased by 59.76％ ([8.29±0.53]mSv vs.[20.60±2.42]mSv).CT values,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of each lower extremity artery segments were higher,while the noise of each lower extremity artery segments in experimental group were lower than those in control group(all P＜0.05).Conclusion 80 kVp combined with AIIR could reduce radiation dose and improve imaging quality of lower extremity CTA of diabetic foot,hence being helpful to displaying small arteries of lower extremity,such as dorsalis pedis arteries and common plantar metatarsal arteries.