Cardiovascular diseases and psychological disorders represent two major threats to human physical and mental health. Research on electrocardiogram (ECG) signals offers valuable opportunities to address these issues. However, existing methods are constrained by limitations in understanding ECG features and transferring knowledge across tasks. To address these challenges, this study developed a multi-resolution feature encoding network based on residual networks, which effectively extracted local morphological features and global rhythm features of ECG signals, thereby enhancing feature representation. Furthermore, a model compression-based continual learning method was proposed, enabling the structured transfer of knowledge from simpler tasks to more complex ones, resulting in improved performance in downstream tasks. The multi-resolution learning model demonstrated superior or comparable performance to state-of-the-art algorithms across five datasets, including tasks such as ECG QRS complex detection, arrhythmia classification, and emotion classification. The continual learning method achieved significant improvements over conventional training approaches in cross-domain, cross-task, and incremental data scenarios. These results highlight the potential of the proposed method for effective cross-task knowledge transfer in ECG analysis and offer a new perspective for multi-task learning using ECG signals.
Humans ; Electrocardiography/methods* ; Mental Health ; Algorithms ; Signal Processing, Computer-Assisted ; Machine Learning ; Arrhythmias, Cardiac/diagnosis* ; Cardiovascular Diseases ; Neural Networks, Computer ; Mental Disorders

Colorectal cancer is one of the most common malignant tumors, which is a great threat to human life and health. The change of bile acid homeostasis can activate their corresponding receptors to regulate the immune functions, which is closely related to the occurrence of colorectal cancer. In addition, some bile acids can directly induce colorectal cancer and play an important role in the development of colorectal cancer. In this paper, the metabolic process of bile acids in vivo and the immunomodulatory role of bile acid receptors were reviewed, and the evidence of associations between bile acids and colorectal cancer were summarized, which showed the rebalancing the bile acid levels might play a role in the prevention or treatment of colorectal cancer.

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 Hand-foot syndrome is a dose-limiting toxicity of capecitabine.At present,there is no unified gold standard for the establishment of hand-foot syndrome model.To induce hand-foot syndrome and provide a reference for the establishment of hand-foot syndrome model by administering capecitabine in ICR mice.Methods 42 male ICR mice were randomly divided into control group(6 mice)and experimental group(36 mice).The experimental group was given capecitabine(275 mg/kg,twice/d)by intragastric administration for two weeks,and the control group was given 0.5%CMC-Na(4 ml/kg,twice/d),to evaluate whether the animal model of hand-foot syndrome was successfully constructed through H&E staining of mouse foot skin samples and observe morphological changes and the characteristic appearance of mouse foot skin.After the experiment,the mice were sacrificed,and plasma was collected to quantify the concentrations of capecitabine and metabolites.Results Control mice did not showed symptoms of hand-foot syndrome.The skin of the feet of 19 mice in the experimental group showed symptoms such as erythema and swelling,and H&E staining results showed that the plantar skin angular epidermis was thickened,and part of the keratin was exfoliated and damaged,which was considered to be hand-foot syndrome.There were no significant differences in the concentrations of capecitabine and its metabolites between mice with and without hand-foot syndrome.Conclusion The model of hand-foot syndrome induced by capecitabine in mice was successfully established.Differences in exposure levels of capecitabine and metabolites may not be the cause of hand-foot syndrome.

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.

Purpose To use CT-arterial phase images of pre-treatment ovarian cancer patients,combined with deep learning algorithms and machine learning to build a model to predict the efficacy of neoadjuvant chemotherapy in ovarian cancer.Materials and Methods A total of 302 consecutive patients who underwent surgery and were pathologically diagnosed with ovarian cancer from March 2013 to August 2019 in Tianjin Medical University were retrospectively collected.All patients were partitioned into training and test sets according to the ratio of 7∶3.In the python environment,VGG13 model was integrated via combining deep learning network and machine learning,and features were filtered via least absolute shrinkage and selection operator algorithm to build a prediction model for classification and prediction of CT images.The area under the curve(AUC),accuracy,sensitivity,specificity,and Fl-Score were calculated,respectively.Results The AUC,accuracy,sensitivity,specificity,and Fl-Score of the model in the training set were 0.87,0.81,0.80,0.82 and 0.79,and 0.90,0.84,0.93,0.77 and 0.83 in the test set,respectively.The AUC of five-fold cross-validation were 0.86,0.88,0.88,0.90 and 0.87,respectively.Conclusion Predictive model based on CT images combined with deep learning and machine learning methods can provide a new clinical perspective for developing chemotherapy regimens for ovarian cancer.