OBJECTIVE To construct a predictive model for evaluating the efficacy of a triple antiemetic regimen （neurokinin- 1 receptor antagonist+5-hydroxytryptamine 3 receptor antagonist+dexamethasone） for preventing nausea and vomiting induced by highly emetogenic chemotherapy （HEC） based on interpretable deep learning algorithms. METHODS Clinical data of cancer patients who received HEC and were treated with the standard triple antiemetic regimen in the oncology department of Tianjin Medical University General Hospital from January 2018 to December 2022 were collected retrospectively. Demographic， clinical and metabolism-related variables were integrated. After data pre-processing， two deep learning algorithms （deep random forest and dense neural network） and four machine learning algorithms （support vector machine， categorical boosting， random forest and decision tree） were used to build predictive models. Subsequently， model performance evaluation and model interpretability analysis were conducted. RESULTS Among the six candidate models， the deep random forest model demonstrated the best predictive performance on the test set， with an area under the receiver operating characteristic curve of 0.850， an accuracy of 0.911， a precision of 0.805， a recall of 0.783， an F1 score of 0.793， and a Brier score of 0.075. Interpretability analysis revealed that creatinine clearance rate （Ccr） was the key predictive factor， and low Ccr levels， female gender， younger age， highly emetogenic drugs （particularly cisplatin-containing chemotherapy regimens）， and anticipatory nausea and vomiting were positively correlated with the risk of HEC-related nausea and vomiting. CONCLUSIONS The deep random forest model exhibits the best performance in predicting the efficacy of triple antiemetic regimen for preventing HEC-related nausea and vomiting. The key predictors in this model primarily include Ccr，anticipatory nausea and vomiting， gender， age， and highly emetogenic drugs.

Objective: To evaluate the intervention effectiveness of co-occurrence and prevention for myopia and obesity among primary and secondary school students, so as to provide a scientific basis for the development of comprehensive intervention measures in myopia and obesity. Methods: From September 2022 to September 2023, a cluster random sampling method was used to select 6 primary schools and 6 junior high schools from Tongzhou District, Beijing. Participants were randomly assigned to an intervention group (914 before intervention and 754 after intervention) and a control group (868 before intervention and 652 after intervention), with an expected duration of one academic year. Based on the RE-AIM framework, integrate resources from families, schools, communities, and medical institutions to develop a school-based intervention technology packagefor the co-occurrence and prevention of myopia and obesity in children. The intervention group received intervention according to the comprehensive intervention technology package, while the control group did not receive any intervention measures. Relevant health indicators during the baseline period and after intervention were measured and collected, and groups were compared by Chi quest test, t-test and Wilcoxon rank sum test. Results: After intervention, the uncorrected visual acuity of primary and secondary school students in the intervention group (4.79±0.30) and the control group (4.77±0.33) both decreased compared to those before intervention (4.80±0.30, 4.90±0.32) ( t =-7.00,-5.24); the decrease in uncorrected visual acuity in the intervention group was smaller than that in the control group( t =5.33)( P <0.01). After intervention, body mass index, waist circumference, hip circumference, and body fat percentage of primary and secondary school students in the intervention group decreased compared to those before intervention. However, the changes in these indicators were not statistically significant ( t/Z =-0.03, - 0.36，- 0.30，- 0.01, P >0.05); the above indicators in the control group increased compared to those before intervention, but only hip circumference and body fat percentage showed statistically significant changes ( t/Z =2.17, 2.62, P <0.05). After intervention, both the intervention group and the control group showed increases in systolic and diastolic blood pressure compared to those before intervention(intervention group: t =2.16,5.29; control group: t =6.84,5.07); the intervention group had lower systolic and diastolic blood pressure than the control group( t = -5.27 , -2.08)( P <0.05). After intervention, the intervention and the control groups had statistically significant differences in cognitive accuracy(92.48%, 69.33%) in terms of "outdoor exercise can prevent myopia" and "having 5 servings of adult fist sized vegetables and fruits every day" ( χ 2=6.30, 7.86, P <0.05). There was a statistically significant difference in the proportion of primary and secondary school students in the intervention group (40.98%) and the control group (35.43%) for "who did not drink sugary drinks for every day in the past 7 days" ( χ 2=4.32, P <0.05). After intervention, the intervention group and the control group showed increases in "school outdoor activity duration on school days" and "outdoor activity duration on rest days" compared to those before intervention ( t/Z =-13.32,-9.71;- 2.59，-2.69）；the behavior rate of "visual acuity measurement frequency at least once every 3 months" in the intervention group (46.68%) and the control group (52.76%) increased compared to those before intervention (36.43%, 44.01%), and the increases in the intervention group were greater than that in the control group ( χ 2=17.52,11.08) ( P <0.05). Conclusions Comprehensive intervention measures have significant intervention effects on controlling the occurrence and development of comorbidity of myopia and obesity in children. It could actively promote collaboration and cooperation among families, schools, communities and medical institutions to reduce the occurrence of myopia and obesity among primary and secondary school students.

In recent decades, the prevalence of hyperuricemia and gout has increased dramatically due to lifestyle changes. The drugs currently recommended for hyperuricemia are associated with adverse reactions that limit their clinical use. In this study, we report that berberine (BBR) is an effective drug candidate for the treatment of hyperuricemia, with its mechanism potentially involving the modulation of gut microbiota and its metabolite, succinic acid. BBR has demonstrated good therapeutic effects in both acute and chronic animal models of hyperuricemia. In a clinical trial, oral administration of BBR for 6 months reduced blood uric acid levels in 22 participants by modulating the gut microbiota, which led to an increase in the abundance of Bacteroides and a decrease in Clostridium sensu stricto_1. Furthermore, Bacteroides fragilis was transplanted into ICR mice, and the results showed that Bacteroides fragilis exerted a therapeutic effect on uric acid similar to that of BBR. Notably, succinic acid, a metabolite of Bacteroides, significantly reduced uric acid levels. Subsequent cell and animal experiments revealed that the intestinal metabolite, succinic acid, regulated the upstream uric acid synthesis pathway in the liver by inhibiting adenosine monophosphate deaminase 2 (AMPD2), an enzyme responsible for converting adenosine monophosphate (AMP) to inosine monophosphate (IMP). This inhibition resulted in a decrease in IMP levels and an increase in phosphate levels. The reduction in IMP led to a decreased downstream production of hypoxanthine, xanthine, and uric acid. BBR also demonstrated excellent renoprotective effects, improving nephropathy associated with hyperuricemia. In summary, BBR has the potential to be an effective treatment for hyperuricemia through the gut-liver axis.

On the basis of the clinical characteristics of atherosclerosis(AS)in traditional Chinese medicine(TCM)and Western medicine,this paper analyzes common animal models of AS.The coincidence of clinical characteristics of the models was scored in the hope of providing new ideas and a reference for those studying AS.This paper reviews the varieties,modeling method,modeling principles,and characteristics of common animal models of AS.Moreover,similarities among common animal models,in terms of their clinical diagnostic criteria and symptom characteristics,were assessed.High-fat feeding type,mechanical injury combined with high-fat feeding type,genetic engineering combined with high-fat feeding type,chemical induction combined with high-fat feeding type,and combined Chinese clinical syndrome and Western disease AS models are widely established.Comparative analysis showed that balloon injury combined with high fat feeding type,ApoE receptor-knockout mouse combined with high-fat diet type,and phlegm and blood stasis type models of disease and symptom combinations showed a comparatively high level of clinical agreement between Chinese and Western medicine.Presently,most animal models of AS have a high degree of relevance to Western medicine,and the evaluation criteria used for the models are predominately from a Western medicine perspective.Models that combine disease and syndrome are lacking,hindering the development of wholism concepts and treatment through the differentiation of syndromes used in TCM.Therefore,establishing an animal model with a high degree of accuracy and coincidence between TCM and Western perspectives that combines the disease and its TCM symptoms is a top priority for studying the prevention and treatment of AS.

Objective To summarize the clinical characteristics of delayed diagnosis of tuberculosis in children,analyze the risk factors of delayed diagnosis,and support early diagnosis of tuberculosis in children.Methods This is a retrospective analysis based on the clinical data of tuberculosis patients admitted to the Children's Hospital Affiliated to Zhengzhou University from January 2015 to February 2023.The clinical characteristics of children were analyzed in terms of age group.According to the definition of diagnosis delay,the patients were assigned to delayed group and non-delayed group.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for diagnosis delay.Results A total of 82 children with tuberculosis were included(46 cases in delayed diagnosis group and 36 cases in non-delayed diagnosis group).The rate of diagnosis delay was 56.1％.The incidence of acute miliary pulmonary tuberculosis and tuberculous meningitis was significantly higher in children ≤5 years old than that in children＞5 years old(P＜0.05).Diagnosis delay was associated with significantly higher prevalence of chronic fever,cough＞2 weeks,growth retardation and significantly longer duration of empirical antibiotic use compared to the children without diagnosis delay(P＜0.05).Univariate analysis showed that patient origin,contact history,mixed infection,tuberculosis type,molecular biological assay and severe disease were related to the delay of TB diagnosis(P＜0.05).Multivariate logistic regression analysis showed that patient origin[≥3 clinic visits(OR=7.064,95％CI:1.677-29.754)],mixed infection(OR=3.812,95％CI:1.185-12.260),severe disease(OR=3.697,95％CI:1.081-12.646)]were risk factors for diagnosis delay in children.Molecular biological assay(OR=4.642,95％CI:1.318-16.345)was a protective factor.Conclusions The clinical symptoms of tuberculosis in children are atypical.Delayed diagnosis of tuberculosis is common.Multiple clinic visits,mixed infection,and severe disease are the risk factors for diagnosis delay.Tuberculosis should be taken into account for the children with chronic fever,cough and growth retardation who have failed to respond to adequate therapy with third-generation cephalosporin and carbapenems.Molecular biological assay is helpful for early diagnosis of tuberculosis in children with negative sputum smear.

Objective To summarize the clinical characteristics of delayed diagnosis of tuberculosis in children,analyze the risk factors of delayed diagnosis,and support early diagnosis of tuberculosis in children.Methods This is a retrospective analysis based on the clinical data of tuberculosis patients admitted to the Children's Hospital Affiliated to Zhengzhou University from January 2015 to February 2023.The clinical characteristics of children were analyzed in terms of age group.According to the definition of diagnosis delay,the patients were assigned to delayed group and non-delayed group.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for diagnosis delay.Results A total of 82 children with tuberculosis were included(46 cases in delayed diagnosis group and 36 cases in non-delayed diagnosis group).The rate of diagnosis delay was 56.1％.The incidence of acute miliary pulmonary tuberculosis and tuberculous meningitis was significantly higher in children ≤5 years old than that in children＞5 years old(P＜0.05).Diagnosis delay was associated with significantly higher prevalence of chronic fever,cough＞2 weeks,growth retardation and significantly longer duration of empirical antibiotic use compared to the children without diagnosis delay(P＜0.05).Univariate analysis showed that patient origin,contact history,mixed infection,tuberculosis type,molecular biological assay and severe disease were related to the delay of TB diagnosis(P＜0.05).Multivariate logistic regression analysis showed that patient origin[≥3 clinic visits(OR=7.064,95％CI:1.677-29.754)],mixed infection(OR=3.812,95％CI:1.185-12.260),severe disease(OR=3.697,95％CI:1.081-12.646)]were risk factors for diagnosis delay in children.Molecular biological assay(OR=4.642,95％CI:1.318-16.345)was a protective factor.Conclusions The clinical symptoms of tuberculosis in children are atypical.Delayed diagnosis of tuberculosis is common.Multiple clinic visits,mixed infection,and severe disease are the risk factors for diagnosis delay.Tuberculosis should be taken into account for the children with chronic fever,cough and growth retardation who have failed to respond to adequate therapy with third-generation cephalosporin and carbapenems.Molecular biological assay is helpful for early diagnosis of tuberculosis in children with negative sputum smear.

Objective To summarize the clinical characteristics of delayed diagnosis of tuberculosis in children,analyze the risk factors of delayed diagnosis,and support early diagnosis of tuberculosis in children.Methods This is a retrospective analysis based on the clinical data of tuberculosis patients admitted to the Children's Hospital Affiliated to Zhengzhou University from January 2015 to February 2023.The clinical characteristics of children were analyzed in terms of age group.According to the definition of diagnosis delay,the patients were assigned to delayed group and non-delayed group.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for diagnosis delay.Results A total of 82 children with tuberculosis were included(46 cases in delayed diagnosis group and 36 cases in non-delayed diagnosis group).The rate of diagnosis delay was 56.1％.The incidence of acute miliary pulmonary tuberculosis and tuberculous meningitis was significantly higher in children ≤5 years old than that in children＞5 years old(P＜0.05).Diagnosis delay was associated with significantly higher prevalence of chronic fever,cough＞2 weeks,growth retardation and significantly longer duration of empirical antibiotic use compared to the children without diagnosis delay(P＜0.05).Univariate analysis showed that patient origin,contact history,mixed infection,tuberculosis type,molecular biological assay and severe disease were related to the delay of TB diagnosis(P＜0.05).Multivariate logistic regression analysis showed that patient origin[≥3 clinic visits(OR=7.064,95％CI:1.677-29.754)],mixed infection(OR=3.812,95％CI:1.185-12.260),severe disease(OR=3.697,95％CI:1.081-12.646)]were risk factors for diagnosis delay in children.Molecular biological assay(OR=4.642,95％CI:1.318-16.345)was a protective factor.Conclusions The clinical symptoms of tuberculosis in children are atypical.Delayed diagnosis of tuberculosis is common.Multiple clinic visits,mixed infection,and severe disease are the risk factors for diagnosis delay.Tuberculosis should be taken into account for the children with chronic fever,cough and growth retardation who have failed to respond to adequate therapy with third-generation cephalosporin and carbapenems.Molecular biological assay is helpful for early diagnosis of tuberculosis in children with negative sputum smear.

Objective To summarize the clinical characteristics of delayed diagnosis of tuberculosis in children,analyze the risk factors of delayed diagnosis,and support early diagnosis of tuberculosis in children.Methods This is a retrospective analysis based on the clinical data of tuberculosis patients admitted to the Children's Hospital Affiliated to Zhengzhou University from January 2015 to February 2023.The clinical characteristics of children were analyzed in terms of age group.According to the definition of diagnosis delay,the patients were assigned to delayed group and non-delayed group.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for diagnosis delay.Results A total of 82 children with tuberculosis were included(46 cases in delayed diagnosis group and 36 cases in non-delayed diagnosis group).The rate of diagnosis delay was 56.1％.The incidence of acute miliary pulmonary tuberculosis and tuberculous meningitis was significantly higher in children ≤5 years old than that in children＞5 years old(P＜0.05).Diagnosis delay was associated with significantly higher prevalence of chronic fever,cough＞2 weeks,growth retardation and significantly longer duration of empirical antibiotic use compared to the children without diagnosis delay(P＜0.05).Univariate analysis showed that patient origin,contact history,mixed infection,tuberculosis type,molecular biological assay and severe disease were related to the delay of TB diagnosis(P＜0.05).Multivariate logistic regression analysis showed that patient origin[≥3 clinic visits(OR=7.064,95％CI:1.677-29.754)],mixed infection(OR=3.812,95％CI:1.185-12.260),severe disease(OR=3.697,95％CI:1.081-12.646)]were risk factors for diagnosis delay in children.Molecular biological assay(OR=4.642,95％CI:1.318-16.345)was a protective factor.Conclusions The clinical symptoms of tuberculosis in children are atypical.Delayed diagnosis of tuberculosis is common.Multiple clinic visits,mixed infection,and severe disease are the risk factors for diagnosis delay.Tuberculosis should be taken into account for the children with chronic fever,cough and growth retardation who have failed to respond to adequate therapy with third-generation cephalosporin and carbapenems.Molecular biological assay is helpful for early diagnosis of tuberculosis in children with negative sputum smear.

Objective To summarize the clinical characteristics of delayed diagnosis of tuberculosis in children,analyze the risk factors of delayed diagnosis,and support early diagnosis of tuberculosis in children.Methods This is a retrospective analysis based on the clinical data of tuberculosis patients admitted to the Children's Hospital Affiliated to Zhengzhou University from January 2015 to February 2023.The clinical characteristics of children were analyzed in terms of age group.According to the definition of diagnosis delay,the patients were assigned to delayed group and non-delayed group.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for diagnosis delay.Results A total of 82 children with tuberculosis were included(46 cases in delayed diagnosis group and 36 cases in non-delayed diagnosis group).The rate of diagnosis delay was 56.1％.The incidence of acute miliary pulmonary tuberculosis and tuberculous meningitis was significantly higher in children ≤5 years old than that in children＞5 years old(P＜0.05).Diagnosis delay was associated with significantly higher prevalence of chronic fever,cough＞2 weeks,growth retardation and significantly longer duration of empirical antibiotic use compared to the children without diagnosis delay(P＜0.05).Univariate analysis showed that patient origin,contact history,mixed infection,tuberculosis type,molecular biological assay and severe disease were related to the delay of TB diagnosis(P＜0.05).Multivariate logistic regression analysis showed that patient origin[≥3 clinic visits(OR=7.064,95％CI:1.677-29.754)],mixed infection(OR=3.812,95％CI:1.185-12.260),severe disease(OR=3.697,95％CI:1.081-12.646)]were risk factors for diagnosis delay in children.Molecular biological assay(OR=4.642,95％CI:1.318-16.345)was a protective factor.Conclusions The clinical symptoms of tuberculosis in children are atypical.Delayed diagnosis of tuberculosis is common.Multiple clinic visits,mixed infection,and severe disease are the risk factors for diagnosis delay.Tuberculosis should be taken into account for the children with chronic fever,cough and growth retardation who have failed to respond to adequate therapy with third-generation cephalosporin and carbapenems.Molecular biological assay is helpful for early diagnosis of tuberculosis in children with negative sputum smear.