Objective: To analyze the association of eating dining locations and their association with nutritional status among Chinese children aged 6-17 years,so as to provide reference for guiding children s reasonable diet. Methods: Stratified random cluster sampling was used to select children aged 6 to 17 years from 28 cities and rural areas of 14 provinces in East, North, Central, South, Southwest, Northwest, Northeast of China, and a total of 52 535 children were included in the study from 2019 to 2021. Information including dining locations, demographic characteristics, dietary intakes and physical activity were collected through a questionnaire survey. Fasting body height and weight were measured in the morning. Unordered multiclass Logistic regression analysis was conducted to assess the relationship between dining locations and nutritional status in children. Results: Regarding children s dining locations, 66.3% ate breakfast at home,25.8% ate breakfast at school,7.9% ate breakfast outside (small dining tables, restaurants, stalls, etc.); 67.7% ate dinner at home,29.0% ate dinner at school,3.3% ate dinner outside; and 63.6% ate lunch at school,30.8% ate lunch at home,5.7% ate lunch outside. The prevalence rates of overweight/obesity and undernutrition were 28.6% and 9.3%, respectively. The adjusted multiclass Logistic regression analysis (controlling for age, region, parental education, household income, total energy intake, and moderate-to-vigorous physical activity) demonstrated that, compared to eating at home, school based breakfast and dinner consumption was associated with significantly lower overweight/obesity risks for both genders (boys: breakfast OR =0.70, 95% CI =0.65-0.75; dinner OR =0.80, 95% CI = 0.74- 0.86; girls: breakfast OR = 0.89 , 95% CI = 0.82-0.96; dinner OR =0.88, 95% CI =0.81-0.95), whereas eating lunch away from home significantly increased overweight/obesity risks (boys: OR =1.32, 95% CI =1.17-1.48; girls: OR =1.43, 95% CI =1.26- 1.62 ), with all associations being statistically significant ( P <0.05). After adjusting for confounding factors, boys who ate breakfast away from home showed a significantly reduced risk of undernutrition ( OR =0.80,95% CI =0.66-0.97), while those consuming lunch away from home had an increased risk ( OR =1.26, 95% CI =1.01-1.57) ( P <0.05). Conclusions The choice of dining locations for children is becoming more diverse, and a relatively high proportion of children eat meals outside the home and at school. Eating out have a higher risk of malnutrition for children. School feeding may be beneficial to children s physical health.

The cellular and molecular components of the tumor immune microenvironment (TIME) and their information exchange processes significantly influence the trends of anti-tumor immunity. In recent years, numerous studies have begun to evaluate TIME in the context of previous cancer treatment strategies. This review will systematically summarize the compositional characteristics of TIME and, based on this foundation, explore the impact of current cancer therapies on the remodeling of TIME, aiming to provide new insights for the development of innovative immune combination therapies that can convert TIME into an anti-tumor profile.
Tumor Microenvironment/immunology* ; Humans ; Neoplasms/therapy* ; Immunotherapy/methods* ; Animals

OBJECTIVE: To construct machine learning prediction model for sepsis-associated encephalopathy (SAE), and analyze the application value of the model on early identification of SAE risk in elderly septic patients. METHODS: Patients aged over 60 years with a primary diagnosis of sepsis admitted to intensive care unit (ICU) from 2008 to 2023 were selected from Medical Information Mart for Intensive Care-IV 2.2 (MIMIC-IV 2.2). Demographic variables, disease severity scores, comorbidities, interventions, laboratory indicators, and hospitalization details were collected. Key factors associated with SAE were identified using univariate Logistic regression analysis. The data were randomly divided into training and validation sets in a 7 : 3 ratio. Multivariable Logistic regression analysis was conducted in the training set and visualized using a nomogram model for prediction of SAE. The discrimination of the model was evaluated in the validation set using the receiver operator characteristic curve (ROC curve), and its calibration was assessed using calibration curve. Furthermore, multiple machine learning algorithms, including multi-layer perceptron (MLP), support vector machine (SVM), naive bayes (NB), gradient boosting machine (GBM), random forest (RF), and extreme gradient boosting (XGB), were constructed in the training set. Their predictive performance was subsequently evaluated on the validation set. Taking the XGB model as an example, the interpretability of the model through the SHapley Additive exPlanations (SHAP) algorithm was enhanced to identify the key predictive factors and their contributions. RESULTS: A total of 2 204 septic patients were finally enrolled, of whom 840 developed SAE (38.1%). A total of 21 variables associated with SAE were screened through univariate Logistic regression analysis. Multivariable Logistic regression analysis showed that endotracheal intubation [odds ratio (OR) = 0.40, 95% confidence interval (95%CI) was 0.19-0.88, P < 0.001], oxygen therapy (OR = 0.76, 95%CI was 0.53-0.95, P = 0.023), tracheotomy (OR = 0.20, 95%CI was 0.07-0.53, P < 0.001), continuous renal replacement therapy (CRRT; OR = 0.32, 95%CI was 0.15-0.70, P < 0.001), cerebrovascular disease (OR = 0.31, 95%CI was 0.16-0.60, P < 0.001), rheumatic disease (OR = 0.44, 95%CI was 0.19-0.99, P < 0.001), male (OR = 0.68, 95%CI was 0.54-0.86, P = 0.001), and maximum anion gap (AG; OR = 0.95, 95%CI was 0.93-0.97, P < 0.001) were associated with an decreased probability of SAE, and age (OR = 1.05, 95%CI was 1.03-1.06, P < 0.001), acute physiology score III (APSIII; OR = 1.02, 95%CI was 1.01-1.02, P < 0.001), Oxford acute severity of illness score (OASIS; OR = 1.04, 95%CI was 1.03-1.06, P < 0.001), and length of hospital stay (OR = 1.01, 95%CI was 1.01-1.02, P < 0.001) were associated with an increased probability of SAE. A nomogram model was constructed based on these variables. In the validation set, ROC curve analysis showed that the model achieved an area under the ROC curve (AUC) of 0.723, and the calibration curve showed good consistency between the predicted probability of the model and the observed probability. Among the machine learning algorithms, including MLP, SVM, NB, GBM, RF, and XGB, the SVM model and RF model demonstrated relatively good predictive performance, with AUC of 0.748 and 0.739, respectively, and the sensitivity was both exceeding 85%. The predictive performance of the XGB model was explained through SHAP analysis, and the results indicated that APSIII score (SHAP value was 0.871), age (SHAP value was 0.521), and OASIS score (SHAP value was 0.443) were important factors affecting the predictive performance of the model. CONCLUSIONS The machine learning-based SAE prediction model exhibits good predictive capability and holds significant application value for the early identification of SAE risk in elderly septic patients.
Humans ; Machine Learning ; Aged ; Sepsis-Associated Encephalopathy ; Sepsis/complications* ; Intensive Care Units ; Logistic Models ; Middle Aged ; Male ; ROC Curve ; Female ; Bayes Theorem ; Nomograms ; Support Vector Machine ; Algorithms

OBJECTIVES: This study aimed to investigate the incidence, imaging characteristics, and clinical manifestations of the eruption failure of deciduous molars using panoramic radiographs to provide a foundation for diagnosis and treatment in this population. METHODS: This study retrospectively reviewed panoramic radiographs of children aged 4-8 years obtained from Stomatology Hospital, Zhejiang University School of Medicine between January 2021 and December 2023. A total of 31 331 subjects were included for the radiographic assessment of the tooth eruption failure of deciduous molars. Incidence, radiographic characteristics, and associated complications were documented. Statistical analysis was performed using SPSS 26.0. RESULTS: The incidence of the eruption failure of deciduous molars among children aged 4-8 years was 0.94% (296/31 331). The rate was 1.55 times higher in females than in males, demonstrating a significant gender difference (P<0.001). Among the affected deciduous molars, mandibular first deciduous molars accounted for 76.4%, followed by the mandibular second deciduous molars (13.8%), and the maxillary deciduous molars collectively comprised 9.8%. The severity of eruption disorders was significantly associated with the mesial and distal tilting of adjacent teeth and elongation of the antagonist (P<0.001). CONCLUSIONS The incidence of the eruption failure of deciduous molars in children aged 4-8 years was 0.94%, with a high prevalence in females and a predilection for the mandible, particularly the mandibular first deciduous molar. For deciduous molars with severe eruption failure, early intervention is crucial to mitigate complications such as malocclusion and space loss.
Humans ; Child ; Child, Preschool ; Tooth, Deciduous/diagnostic imaging* ; Female ; Molar/physiopathology* ; Male ; Retrospective Studies ; Tooth Eruption ; Radiography, Panoramic ; Incidence

AIM:To investigate the effects of Shaoyao-Gancao decoction(SGD)on inflammation and mucosal barrier damage in rats with 2,4,6-trinitrobenzenesulfonic acid(TNBS)-induced inflammatory bowel disease(IBD).METHODS:Forty-eight male SD rats were randomly divided into normal group,model group,high-dose(500 mg/kg),medium-dose(250 mg/kg)and low-dose(125 mg/kg)SGD groups,and balsalazide sodium(1 g/kg)group.All rats were pre-administered for 3 d,and on the 4th day of the experiment,they were fasted for 24 h.Except for the normal group,the rats in the other 5 groups were given enema mixed with TNBS(100 mg/kg)and 50％ethanol,and continued to be adminis-tered for 5 d after modeling.After modeling,the disease activity index(DAI)was evaluated.After the experiment,the levels of nitric oxide(NO)and myeloperoxidase(MPO)in serum and colonic tissues of rats were determined.RT-qPCR and Western blot were used to determine tumor necrosis factor-α(TNF-α),cyclooxygenase-2(COX-2),inducible nitric oxide synthase(iNOS)and nuclear factor-κB(NF-κB)in the colon of rats.The expression of tight junction proteins zonu-la occludens-1(ZO-1)and claudin 2 in rat colon tissues was determined by immunofluorescence staining.RESULTS:Compared with normal group,the weight of rats in model group was decreased,the colon was shortened,DAI and colon tissue macroscopic scores were significantly increased(P<0.05),colon pathological injury was serious,and NO and MPO levels in serum and colon tissues of the rats in model group were significantly increased(P<0.05).The mRNA and pro-tein expression levels of TNF-α,COX-2,iNOS and NF-κB in colon tissues were significantly increased(P<0.01),while the expression levels of ZO-1 and claudin 2 were significantly decreased(P<0.01).Compared with model group,the body weight and colon shortening of rats in SGD groups were alleviated,DAI and macroscopic scores of colon tissues were significantly decreased(P<0.05),the pathological damage of colon was improved,and the levels of NO and MPO in se-rum and colon tissues of rats were significantly decreased(P<0.05).The mRNA and protein expression levels of TNF-α,COX-2,iNOS and NF-κB in colon tissues were significantly decreased(P<0.05),while the expression levels of ZO-1 and claudin 2 were significantly increased(P<0.05).CONCLUSION:Treatment with SGD effectively attenuates the inflam-matory response and intestinal mucosal barrier damage caused by TNBS-induced IBD in rats.

Objective:To develop and evaluate a nomogram prediction model for the 3-month mortality risk of patients with sepsis-associated acute kidney injury (S-AKI).Methods:Based on the American Medical Information Mart for Intensive Care-Ⅳ (MIMIC-Ⅳ), clinical data of S-AKI patients from 2008 to 2021 were collected.Initially, 58 relevant predictive factors were included, with all-cause mortality within 3 months as the outcome event. The data were divided into training and testing sets at a 7∶3 ratio. In the training set, univariate Logistic regression analysis was used for preliminary variable screening. Multicollinearity analysis, Lasso regression, and random forest algorithm were employed for variable selection, combined with the clinical application value of variables, to establish a multivariable Logistic regression model, visualized using a nomogram. In the testing set, the predictive value of the model was evaluated through internal validation. The receiver operator characteristic curve (ROC curve) was drawn, and the area under the curve (AUC) was calculated to evaluate the discrimination of nomogram model and Oxford acute severity of illness score (OASIS), sequential organ failure assessment (SOFA), and systemic inflammatory response syndrome score (SIRS). The calibration curve was used to evaluate the calibration, and decision curve analysis (DCA) was performed to assess the net benefit at different probability thresholds.Results:Based on the survival status at 3 months after diagnosis, patients were divided into 7?768 (68.54%) survivors and 3?566 (31.46%) death. In the training set, after multiple screenings, 7 variables were finally included in the nomogram model: Logistic organ dysfunction system (LODS), Charlson comorbidity index, urine output, international normalized ratio (INR), respiratory support mode, blood urea nitrogen, and age. Internal validation in the testing set showed that the AUC of nomogram model was 0.81 [95% confidence interval (95% CI) was 0.80-0.82], higher than the OASIS score's 0.70 (95% CI was 0.69-0.71) and significantly higher than the SOFA score's 0.57 (95% CI was 0.56-0.58) and SIRS score's 0.56 (95% CI was 0.55-0.57), indicating good discrimination. The calibration curve demonstrated that the nomogram model's calibration was better than the OASIS, SOFA, and SIRS scores. The DCA curve suggested that the nomogram model's clinical net benefit was better than the OASIS, SOFA, and SIRS scores at different probability thresholds. Conclusions:A nomogram prediction model for the 3-month mortality risk of S-AKI patients, based on clinical big data from MIMIC-Ⅳ and including seven variables, demonstrates good discriminative ability and calibration, providing an effective new tool for assessing the prognosis of S-AKI patients.

Radiation-induced heart disease (RIHD) is a common complication of radiotherapy and one of the main causes of non-cancer death in patients with thoracic malignant tumors, which seriously affects the clinical outcome and quality of life of patients. PET imaging is able to assess myocardial perfusion, abnormal myocardial metabolic, cardiac sympathetic disorders, myocardial fibrosis and inflammation, and is of great value in the early diagnosis and detection of RIHD. This article reviews the progress of PET imaging in the early detection of RIHD.

Objective:To investigate the predictive value of differential distribution of peripheral lymphocyte subsets before and after the first 131I treatment on the therapeutic response to 131I treatment in patients with papillary thyroid cancer (PTC). Methods:A retrospective study was conducted on 46 PTC patients (16 males, 30 females, age 20-77 years) who underwent total thyroidectomy and received 131I treatment between January 2021 and August 2021 in First Hospital of Shanxi Medical University. Peripheral blood lymphocyte subsets (T, B, CD4 + T, CD8 + T, natural killer (NK), helper T (Th)1, Th2, Th17, and regulatory T (Treg) cells) were measured 1-2 d before and 30 d after 131I treatment. Based on serological and imaging evidence, therapeutic response at 6-12 months post- 131I therapy was categorized as either excellent response (ER) or non-excellent response (NER). Differences of preablative stimulated thyroglobulin (psTg) and clinical baseline characteristics between two groups were assessed by using independent-sample t test, paired t test, or Mann-Whitney U test. Predictive value of lymphocyte subsets before and after 131I treatment for therapeutic response was assessed through logistic regression analysis, ROC curve analysis, and decision curve analysis (DCA). Results:In ER group ( n=33) and NER group ( n=13), most lymphocyte subsets showed different degrees of reduction 30 d after 131I treatment compared to before 131I treatment, such as T, B, CD4 + T and Th1 cells in ER group, as well as T, B, CD4 + T, Th1, Th2, Th17, and Treg cells in NER group ( t values: 2.41-9.57, all P<0.05). Before 131I treatment, NER group had significantly higher levels of psTg, Th2, Th17, and Treg cells compared to the ER group ( t values: from -3.32 to -2.48, U=29.00, all P<0.05). After 131I treatment, most of lymphocyte subsets in NER group (T, B, CD4 + T, CD8 + T, Th1 and Treg cells) showed higher trend than those in ER group but without statistical significances ( t values: from -1.12 to -0.06, all P>0.05). Th2 cells before 131I treatment (odds ratio ( OR)=25.00, 95% CI: 1.36-459.10, P=0.030) was identified as a risk factor for NER. ROC curve analysis indicated that AUCs of psTg and Th2 cells for predicting therapeutic response were 0.932 and 0.790, respectively, which was 0.958 for the combined psTg and Th2 cells. DCA showed that within the threshold probability range of 10%-60%, the curves for psTg, Th2 cells, and the combined psTg and Th2 cells were all higher than the extreme curve, suggesting good effect. Conclusions:Most lymphocyte subsets decrease to varying degrees, and NER group shows a significant decrease 30 d after 131I treatment. Th2 cells may be a risk factor for poor response to 131I treatment, providing a certain value in predicting the therapeutic response to 131I treatment.

68Ga-DOTATATE/18F-FDG two-day low-dose total-body PET/CT imaging is increasingly employed to facilitate the diagnosis,prognosis,and heterogeneity assessment of neuroendocrine neoplasms.We present a consensus on operational guideline for a two-day combined imaging from experts in low-dose/ultra-low-dose total-body PET/CT from several domestic medical institutions.

Objective:To investigate the pattern of distribution of the circumferential fascia of the rectum and elucidate its clinical implications.Methods:In this descriptive study, we examined the gross anatomy of four male hemipelvic cadaveric specimens from the Department of Anatomy at Fujian Medical University and the histological features of 16 fresh postoperative specimens from patients who had undergone total mesorectal excision for rectal cancer at the Department of Colorectal Surgery, Union Hospital, Fujian Medical University, between January and December 2022. The resultant combination of gross anatomical and histological features was employed to assess the following areas: (1)the morphology of the anterior mesorectum and fascia at the peritoneal reflection; (2)the caudal attachment point of Denonvilliers' fascia; (3) the fusion area of the pelvic plexus and the pre-hypogastric fascia; (4)the lateral and posterior attachment edges of the rectosacral fascia; and (5) selected histological features.Results:Our findings were as follows. (1) At the peritoneal reflection, the anterior mesorectum forms a triangular fat pad with a dense fascial structure. The base of this pad extends anteriorly across the most caudal point of the peritoneal reflection, with Denonvilliers' fascia originating from the anterior side of the triangle, near the bladder side of the peritoneum craniad to the peritoneal reflection. (2) The caudal attachment of Denonvilliers' fascia is at the angle between the seminal vesicles, the ampulla of the vas deferens, and the prostate. It adheres tightly to the prostatic capsule and vascular bundles pass through its cephalic side. (3) The pre-hypogastric fascia transitions laterally to merge with Denonvilliers' fascia; its middle part being inseparable from the main body of the pelvic plexus, which gives rise to the nerves that innervate the rectum. (4) The rectosacral fascia is formed by fusion of the fascia propria with the pre-hypogastric fascia. The resultant fused fascia bifurcates into two leaves on the right side; the outer leaf being the pre-hypogastric fascia and the inner leaf the fascia propria. (5) Histologically, the peritoneal reflection zone shows cuboidal epithelium of the peritoneum at its lowest point with no detectable origin of Denonvilliers' fascia. The anterior side of the peritoneal reflection, from which Denonvilliers' fascia originates, has a dense double-layered fascial structure comprising thick collagen fiber (16/16). The fascia propria exhibits a thinner and looser collagen fiber structure and its origin varies between individuals, 13/16 originating together with Denonvilliers' fascia from the craniad side of the peritoneal reflection, and 3/16 originating separately from the most caudal point of the peritoneal reflection. The caudal edge of Denonvilliers' fascia has a double-layered fascial structure with multiple S100-stained areas. The posterior edge of the rectosacral fascia has a fused fascial structure, thick nerve fibers being clearly observable between collagen fibers originating from the pre-hypogastric fascia under high magnification. The lateral edge of the rectosacral fascia extends interiorly, maintains the integrity of the fascia propria.Conclusions:In this study, we investigated the pattern of distribution of the circumferential fascia of the rectum by cadaveric dissection and histological examination of postoperative specimens. We found that the anterior mesorectum forms a triangular fat pad that can serve as a reference for dissection anterior to Denonvilliers' fascia, by making incisions 1 cm above the peritoneal reflection. The region of fusion of Denonvilliers' fascia with the prostatic capsule on the caudal side is rich in neurovascular bundles, contradicting the traditional view of a retroprostatic plane. This finding supports the practice of cutting Denonvilliers' fascia 0.5 cm above the base of the seminal vesicles. The fusion of the fascia propria with the pre-hypogastric fascia posteriorly forms the rectosacral fascia, which bifurcates into two leaves on both sides of the rectum, the inner leaf being the fascia propria and the outer leaf the pre-hypogastric fascia. These transition anteriorly to become Denonvilliers' fascia and fuse densely with the main body of the pelvic plexus on both sides. These findings provide a theoretical foundation for protecting the pelvic plexus and hypogastric nerve by transecting Denonvilliers' fascia and then dissecting in a top-to-bottom direction (i.e., from anterior to caudal), ultimately leading to the transection of the pre-hypogastric fascia.