Recent research on machine learning in the diagnosis and treatment of necrotizing enterocolitis in neonates / 中国当代儿科杂志

Necrotizing enterocolitis (NEC), with the main manifestations of bloody stool, abdominal distension, and vomiting, is one of the leading causes of death in neonates, and early identification and diagnosis are crucial for the prognosis of NEC. The emergence and development of machine learning has provided the potential for early, rapid, and accurate identification of this disease. This article summarizes the algorithms of machine learning recently used in NEC, analyzes the high-risk predictive factors revealed by these algorithms, evaluates the ability and characteristics of machine learning in the etiology, definition, and diagnosis of NEC, and discusses the challenges and prospects for the future application of machine learning in NEC.

Cost-effectiveness analysis of an artificial intelligence-assisted diagnosis and treatment system for gastrointestinal endoscopy / 中华消化内镜杂志

Objective:To analyze the cost-effectiveness of a relatively mature artificial intelligence (AI)-assisted diagnosis and treatment system (ENDOANGEL) for gastrointestinal endoscopy in China, and to provide objective and effective data support for hospital acquisition decision.Methods:The number of gastrointestinal endoscopy procedures at the Endoscopy Center of Renmin Hospital of Wuhan University from January 2017 to December 2019 were collected to predict the procedures of gastrointestinal endoscopy during the service life (10 years) of ENDOANGEL. The net present value, payback period and average rate of return were used to analyze the cost-effectiveness of ENDOANGEL.Results:The net present value of an ENDOANGEL in the expected service life (10 years) was 6 724 100 yuan, the payback period was 1.10 years, and the average rate of return reached 147.84%.Conclusion:ENDOANGEL shows significant economic benefits, and it is reasonable for hospitals to acquire mature AI-assisted diagnosis and treatment system for gastrointestinal endoscopy.

Diagnosis and Treatment Reasoning of Integrated Traditional Chinese and Western Medicine Against Acute Abdomen Based on Knowledge Graph / 中国实验方剂学杂志

ObjectiveIn view of the standardization of clinical diagnosis and treatment of the acute abdomen and the inheritance of diagnosis and treatment experience of prestigious veteran traditional Chinese medicine（TCM） doctors， a diagnosis and treatment reasoning algorithm based on association rule mining under incomplete evidence（AMIE）+ random walk was proposed to provide information services and technical support for primary doctors by recommending personalized diagnosis and treatment plans based on medical records. MethodThe experience of diagnosis and treatment of acute abdomen of prestigious veteran TCM doctors and the text data of clinical diagnosis and treatment guidelines of integrated TCM and western medicine were collected to complete the task of knowledge extraction and construct acute abdomen knowledge graph based on Neo4j. On the basis of ontology-supported rule-based reasoning， the rule reasoning based on similar syndromes was used to expand the syndrome combinations whose Jaccard similarity was greater than the threshold in the syndrome recommendation results. The semantic path coverage algorithm was used to calculate the semantic similarity between the symptom nodes. The symptom nodes were divided into 10 categories， and the symptom nodes in the same category were extended. The random walk algorithm was used to search the symptom nodes connected with the syndrome， and the connection rules between the syndrome and symptom nodes were extended to realize the knowledge reasoning of AMIE+ random walk. ResultThe acute abdomen knowledge graph included 1 320 nodes and 2 464 relationships. According to the link prediction evaluation index of knowledge reasoning， the reasoning results of the three algorithms in the auxiliary diagnosis and treatment of acute abdomen were compared. The AMIE+ random walk algorithm complemented the knowledge graph by extending the similar syndrome connection rules and the syndrome-symptom connection rules. Compared with the knowledge reasoning algorithm based on ontology rules， the area under the curve （AUC） was 15.18% higher and the accuracy was 30.36% higher， which achieved more accurate and effective knowledge inference. ConclusionThis study used knowledge graph technology to visualize the diagnosis and treatment of acute abdomen with TCM and western medicine， assisting primary clinicians in intuitively viewing the diagnosis and treatment process and data relationship. The proposed diagnosis and treatment reasoning algorithm can realize the personalized diagnosis and treatment plan recommendation at the level of "disease-syndrome-diagnosis-treatment-prescription"， which can assist primary doctors in disease diagnosis and treatment and clinical decision-making， contribute to the knowledge sharing and application of diagnosis and treatment experience and clinical guidelines of prestigious veteran TCM doctors， improve the level of primary clinical diagnosis and treatment， and promote the normalization and standardization of the diagnosis and treatment process of acute abdomen with integrated TCM and western medicine.

Application of near-infrared spectroscopy in the diagnosis and efficacy assessment of depressive disorder / 中华行为医学与脑科学杂志

Depressive disorder is a common mental disorder.At present, the diagnosis of depressive disorder mainly relies on patients' self-reported symptoms and clinical interviews which are relatively subjective.As one of the new technologies assisting diagnosis and therapeutic effect evaluation of depressive disorder, near-infrared spectroscopy (NIRS) has received a lot of attention in recent years.This article reviewed studies of using NIRS in the diagnosis and therapeutic effect evaluation of depressive disorder in the past five years.The review showed that NIRS could reflect abnormal hemodynamic activities of the prefrontal cortex and temporal cortex of patients with depressive disorder, especially the dorsolateral prefrontal cortex and inferior frontal gyrus.Changes of concentration of oxygenated hemoglobin in these areas showed higher accuracy in assisting the diagnosis of depression disorder.Until now, only a few longitudinal studies utilized NIRS to compare changes of cerebral hemodynamic activities at different time points of treatment which preliminarily confirmed the potential of NIRS in the evaluation of therapeutic effects of depressive disorder.In future, more large-scale studies will be needed to further determine the specific application standards for NIRS in the diagnosis and therapeutic effect evaluation of depressive disorder.

Research on Current Situation of Quality Management of Artificial Intelligence Medical Device Enterprises / 中国医疗器械杂志

OBJECTIVE@#To understand the current situation of artificial intelligence production enterprise quality management system, so as to provide reference basis for the research and standardization of Artificial Intelligence Medical Device (AIMD) product quality management.@*METHODS@#Based on YY/T 0287-2017 Medical Device Quality Management System for Regulatory Requirements, Medical Equipment Production and the Quality Control Standard for Independent Software Appendix and Xavier GMLP report, the relevant factors were screened and the questionnaire was designed by combining expert consultation and literature review. Then, a total of 32 representative AIMD enterprises were invited to fill in the questionnaire. Descriptive statistical analysis was performed on the data results using Excel 2016.@*RESULTS@#Through in-depth analysis of the four themes in product planning and design, result output, product quality control and product change, it was found that it was necessary for enterprises participating in the survey to improve the quality management system of AIMD products to different degrees.@*CONCLUSIONS@#This study is the first time to systematically investigate the status quo of quality management of AIMD enterprises. The result will be useful for the establishment and continuous improvement of product quality management system. It will also provide a reference for the research of AIMD product quality management and the establishment of the standard.

Application of medical magnifying loupes in diagnosis of oral mucosal diseases / 浙江大学学报·医学版

: To evaluate the application of medical magnifying loupes in diagnosis of oral mucosal diseases. Twenty-four patients with plaque-type oral lichen planus or homogeneous oral leukoplakia were inspected by naked eyes or assistance with magnifying loupes. Histopathological results were used as the gold standard to evaluate the sensitivity, specificity and accuracy of the two methods in clinical diagnosis. Questionnaires were used to evaluate the subjective effect of magnifying loupes on the diagnosis efficiency of oral mucosal diseases and to explore the most suitable parameters for application. The sensitivity, specificity and accuracy of medical magnifying loupes for the identification of plaque-type oral lichen planus and homogeneous oral leukoplakia were 94.74%, 100.00% and 95.83%, respectively, which were significantly higher than those of naked eye inspection (89.47%, 80.00% and 87.50%). The effective rate of magnifying loupes assisted diagnosis was 91.76% according to physicians' subjective evaluation. The most suitable parameters were 3.5 times magnification and working distance. The medical magnifying loupes can effectively improve the efficiency of the inspection and diagnosis of oral mucosal diseases, and have the characteristics of convenience and real-time. The recommended clinical parameters are 3.5 times magnification and working distance.

Clinical application of artificial intelligence to lung nodules diagnosis in regional medical center / 中国胸心血管外科临床杂志

@#Objective    To explore the efficacy of artificial intelligence (AI) detection on pulmonary nodule compared with multidisciplinary team (MDT) in regional medical center. Methods    We retrospectively analyzed the clinical data of 102 patients with lung nodules in the Xiamen Fifth Hospital from April to December 2020. There were 57 males and 45 females at age of 36-90 (48.8±11.6) years. The preoperative chest CT was imported into AI system to record the detected lung nodules. The detection rate of pulmonary nodules by AI system was calculated, and the sensitivity, specificity of AI in the different diagnosis of benign and malignant pulmonary was calculated and compared with manual film reading by MDT. Results    A total of 322 nodules were detected by AI software system, and 305 nodules were manually detected by physicians (P<0.05). Among them, 113 pulmonary nodules were diagnosed by pathologist. Thirty-eight of 40 lung cancer nodules were AI high-risk nodules, the sensitivity was 95.0%, and 25 of 73 benign nodules were AI high-risk nodules, the specificity was 65.8%. Lung cancer nodules were correctly diagnosed by MDT, but  benign nodules were still considered as  lung cancer at the first diagnosis in 10 patients. Conclusion    AI assisted diagnosis system has strong performance in the detection of pulmonary nodules, but it can not content itself with clinical needs in the differentiation of benign and malignant pulmonary nodules. The artificial intelligence system can be used as an auxiliary tool for MDT to detect pulmonary nodules in regional medical center.

Automatic Identification and Classification Diagnosis of Atrial Ventricular Hypertrophy Electrocardiogram Based on Convolutional Neural Network / 中国医疗器械杂志

OBJECTIVE@#Identifying Atrial Ventricular Hypertrophy Electrocardiogram (AVH ECG)and diagnosing the classification of theirs automatically.@*METHODS@#The ECG data used in this experiment was collected from the First Affiliated Hospital of China Medical University. CNN are combined with conventional methods and a 10 layers of one dimensional CNN are created in this experiment to extract the features of ECG signals automatically and achieve the function of classifying. ROC, sensitivity and F1-score are used here to evaluate the effects of the model.@*RESULTS@#In the experiment of identifying AVH ECG, the AUC of test dataset is 0.991, while in the experiment of classifying AVH ECG, the maximal F1-score can reach 0.992.@*CONCLUSIONS@#The CNN model created in this experiment can achieve the auxiliary diagnosis of AVH ECG.

Application value of artificial intelligence-assisted diagnosis model in ultrasound diagnosis of breast nodules / 肿瘤研究与临床

Objective@#To explore the application value of the convolutional neural network (CNN)-based artificial intelligence-assisted diagnosis model in the ultrasound differentiation diagnosis of benign and malignant breast nodules.@*Methods@#A total of 7 334 ultrasound images from 1 351 patients with breast nodules including 807 benign cases and 544 malignant cases were retrieved by using the CNN-based artificial intelligence-assisted diagnosis model from Beijing Tongren Hospital of Capital Medical University ultrasound images database between December 2006 and July 2017. The study included training subset (6 162 images), verification subset (555 images), and test subset (617 images), which were performed in the artificial intelligence-assisted diagnosis model. The outcome results of test subset in diagnosis model were compared with the pathological results. The sensitivity, specificity and accuracy of the artificial intelligence-assisted diagnosis model were calculated.@*Results@#After the test of 617 images, the model diagnostic results could be automatically output with a rectangular frame indicating the nodule position, benign and malignant diagnosis, benign and malignant probability values. The diagnosis time was approximately 4 seconds for each nodule. The sensitivity, specificity and accuracy of the diagnostic model in differentiating benign and malignant breast nodules were 84.1%, 95.0% and 91.2% , respectively.@*Conclusion@#The CNN-based artificial intelligence-assisted diagnosis model has satisfactory results in the differentiation diagnosis of the benign breast nodules and the malignant ones, which indicating the promising application prospect.

Application value of artificial intelligence-assisted diagnosis model in ultrasound diagnosis of breast nodules / 肿瘤研究与临床

Objective To explore the application value of the convolutional neural network (CNN)-based artificial intelligence-assisted diagnosis model in the ultrasound differentiation diagnosis of benign and malignant breast nodules. Methods A total of 7334 ultrasound images from 1351 patients with breast nodules including 807 benign cases and 544 malignant cases were retrieved by using the CNN-based artificial intelligence-assisted diagnosis model from Beijing Tongren Hospital of Capital Medical University ultrasound images database between December 2006 and July 2017. The study included training subset (6162 images), verification subset (555 images), and test subset (617 images), which were performed in the artificial intelligence-assisted diagnosis model. The outcome results of test subset in diagnosis model were compared with the pathological results. The sensitivity, specificity and accuracy of the artificial intelligence-assisted diagnosis model were calculated. Results After the test of 617 images, the model diagnostic results could be automatically output with a rectangular frame indicating the nodule position, benign and malignant diagnosis, benign and malignant probability values. The diagnosis time was approximately 4 seconds for each nodule. The sensitivity, specificity and accuracy of the diagnostic model in differentiating benign and malignant breast nodules were 84.1％, 95.0％ and 91.2％ , respectively. Conclusion The CNN-based artificial intelligence-assisted diagnosis model has satisfactory results in the differentiation diagnosis of the benign breast nodules and the malignant ones, which indicating the promising application prospect.

Value of Serum Tumor Marker Isocitrate Dehydrogenase 1 in the Diagnosis of Lung Cancer / 中国医学科学院学报

To investigate the clinical value of serum tumor marker isocitrate dehydrogenase 1(IDH1)in the diagnosis of lung cancer. The general data were collected in lung cancer patients and non-lung cancer patients.The serum level of IDH1 was detected by enzyme-linked immunosorbent assay to evaluate its clinical significance in diagnosing lung cancer. The serum IDH1 level was significantly higher in lung cancer patients than in non-lung cancer patients [(7.12±6.98)ng/ml (2.09±1.83)ng/ml,=11.540,<0.001].The serum IDH1 level in patients with adenocarcinoma or squamous cell carcinoma was significantly higher than that in patients with small cell lung cancer [(7.91±7.26)ng/ml (2.76±2.27)ng/ml, =6.345,<0.001].The sensitivity of IDH1 in detecting lung cancer,stage Ⅰ/Ⅱ lung cancer,and stage Ⅲ/Ⅳ lung cancer was 47.4%,49.1%,and 46.3%,respectively. Serum IDH1 has high sensitivities and specificities in the diagnosis and differential diagnosis of non-small cell lung cancer(squamous cell carcinoma and adenocarcinoma)and small cell lung cancer as well as the auxiliary diagnosis of stage Ⅰ and Ⅱ lung cancer.It is a valuable marker for the auxiliary diagnosis of lung cancer.

Plasma levels of interferon-inducible protein 10 in patients with active pulmonary tuberculosis with different affected areas / 南方医科大学学报

OBJECTIVE@#To explore the value of interferon-inducible protein 10 (IP-10) in the auxiliary diagnosis of tuberculosis and the judgment of the severity of disease.@*METHODS@#From February, 2013 to February, 2017, a total of 193 patients with TB admitted in our hospital and 84 healthy control subjects were recruited consecutively. The peripheral blood plasma levels of interferon-γ (IFN-γ) and IP-10 were detected using liquid phase chip (Luminex) technique. According to the number of lung fields affected by TB, the patients were divided into group A (with lesions in 1-2 lung fields), group B (3-4 lung fields) and group C (5-6 lung fields), The expressions of IFN-γ and IP-10 in 3 groups were compared.@*RESULTS@#The plasma levels of IP-10 were significantly higher in TB patients than in the control subjects ( < 0.05), but IFN-γ levels were comparable between the two groups ( > 0.05). Among the TB patients, plasma IP-10 levels was the highest in group C ( < 0.05), and IFN-γ levels did not differ significantly among the 3 groups ( > 0.05).@*CONCLUSIONS@#Plasma IP-10 has a certain reference value in the auxiliary diagnosis of active tuberculosis and the judgment of the severity of the disease.

Value and clinical significance of NLR, PLR, LMR in auxiliary diagnosis of children with bronchial asthma / 国际检验医学杂志

Objective To investigate the diagnostic value and clinical significance of neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) in children with bronchial asthma.Methods A total of 182cases newly diagnosed with asthma were divided into mild persistent group (68cases), moderate persistent group (63cases) and of severe persistent group (51cases), and 100ageand sex-matched pediatric healthy children at the same period were chosen as healthy control group.WBC, NEU, LYM, MON, EOS, PLT, IgE, NLR, PLR and LMR of all subjects enrolled in this research were retrospectively reviewed.Results There was no significant difference in age and sexuality between children with asthma and control group (P＞0.05), but WBC, EOS, NEU, MON, PLT and IgE were all significantly up-regulated, and LYM was down.NLR and PLR were significantly up-regulated in children with asthma, while LMR decreased significantly.The area under the curve (AUC) of ROC curve was 0.88and the cutoff value were 2.619for NLR in diagnosing asthmatic children.The diagnostic value of PLR was similar to that of NLR, the AUC of ROC value was 0.87, and the cutoff value was 111.1.The diagnostic value of LMR was only0.79, and the cutoff value was 5.093.In addition, there was a significant correlation between NLR and IgE or lung function indexes.PLR was also correlated with IgE, but only negatively correlated with lung function indexes such as FVC, FEV1and FEV1/FVC％.There was no significant correlation between LMR and all indexes.NLR and PLR were significantly decreased in children with severe asthma after treatment with budesonide, while LMR was significantly up-regulated.Conclusion There are abnormal changes in NLR, PLR and LMR in children with bronchial asthma, which can be used as an index for auxiliary diagnosis, disease assessment and therapeutic effect monitoring in children with bronchial asthma.

Correlation Research of Serum Specific Antibody Expression of IgM, IgG and IgA in Children with Respiratory Syncytial Virus Infection / 现代检验医学杂志

Objective To explore the correlation between the expression of serum specific antibody IgM,IgG and IgA in the respiratory syncytial virus (RSV) in hospitalized children,and the antibody indexes with early auxiliary diagnostic signifi cance were screened.Methods Using fluorescent quantitative polymerase chain reaction (FQ-PCR) to screen 50 cases of throat swabs which RSV RNA were positive in hospitalized children from 2015 to 2017 and using enzyme linked immunosorbent assay (ELISA) detected specific antibodies IgM,IgG and lgA in the children's serum.Meanwhile 95 cases of children's serum specimens without respiratory symptoms were taken as the control group.The results were analyzed by chi-square test.Results In the 50 cases of serum from children who's RSV RNA were positive from throat swabs,the positive rates of IgM,IgG,IgA and the three forms coming together were 24.00％,60.00％00,22.00％ and 16.00％ respectively.And the difference was statistically significant (x2 =28.19,P＜0.01).About the serums which were the same gender child patient in the experimental group and the control group,the positive rates of IgM,IgG and IgA had significant differences (x2 =9.16,P＜0.01).There was no significant difference in the positive rate of each antibody in the same experimental group or control group or control group (x2 =0.10,P＞0.05).IgM,IgG and IgA were not detected in acute laryngotracheal bronchitis.Only 1 case with IgG was detected in the acute upper respiratory infection.It was the highest that the detection rates of IgG in bronchial pneumonia and acute bronchitis were 41.38％ and 23.53％,and IgA was not been detected alone.In the group of ＜6 months,IgM and IgA were not detected within 7 days and 21 days.In the group of 1～5 years old,the positive rate of IgM within 7 days was 50％,which was the highest in all groups.And IgM,IgG and IgA could be detected in 21 days also.The positive rates of IgG and IgA in the age group of 5～10 years old were 100％ and 66.67％ respectively.Conclusion Specific antibodies of RSV-IgM,IgG and IgA cannot be used as a diadynamic criteria alone in early RSV infection.The spe cific antibody was not affected by gender.Upper respiratory tract infection RSV was difficult to produce IgM,IgG and IgA.The younger the child,was the slower the IgM and IgA were produced.At the same time,IgG was able to vertical transmis sion and it had no protective effect on body.That RSV could infect the body and cause clinical respiratory symptoms would be related with immunity.Finally,IgA was the earliest specific antibody and could not be alone.

Question Answering System Based on the Big Data of Electronic Medical Records (EMR) / 医学信息学杂志

Based on the big data of Electronic Medical Records (EMR),information retrieval and the deep learning method,an auxiliary diagnosis Question Answering (QA) system is designed.The paper introduces the design of general framework,EMR database,value network and policy-based network of the system,provides the system operation process.This system can not only help patients to examine their conditions independently,but also provide reference for doctors when they make the diagnosis and treatment schemes.

Auxiliary diagnosis value of serum cytokines and neurotrophic factor levels in schizophrenia inpatiens / 国际检验医学杂志

Objective To investigate the changes of serum IL-1β,IL-6 ,TNF-α,NGF and BDNF levels and their correlation with clinical symptoms of schizophrenia inpatiens and their value in the auxiliary diagnosis of schizophrenia .Methods The case-control study was used .The levels of serum IL-1β,IL-6 ,TNF-α,NGF and BDNF were measured by using the enzyme linked immunosorbent assay(ELISA) in 85 inpatients with schizophrenia and 85 healthy controls .Their changes in the case group were compared between before treatment and after 3-month treatment .The Pearson correlation analysis was used to analyze the correlation between the lev-els of IL-1β,IL-6 ,TNF-α,NGF and BDNF with the positive and negative syndrome scale (PANSS) score and the auxiliary diagnosis value of serum cytokine and neurotrophic factor levels were evaluated with the receiver operating characteristic (ROC) curve .Re-sults The levels of serum IL-1β(t=4 .560) ,IL-6(t= 4 .957) and TNF-α(t= 4 .799) before treatment in the schizophrenia case group were significantly higher than those in control group ,while the NGF(t= -4 .806) and BDNF(t= -4 .881) levels were sig-nificantly lower than those in the control group ,the differences were statistically significant (P<0 .01) .After 3-month treatment , the levels of serum IL-1β(t=4 .543) ,IL-6(t=4 .327) and TNF-α(t=4 .654) in the schizophrenia case group were significantly de-creased compared with before treatment ,while the NGF(t= -4 .641) and BDNF(t= -4 .876) levels were significantly increased , the differences were statistically significant (P< 0 .01) .IL-1β was positively correlated with the positive symptoms scores (r=0 .325 ,P<0 .01) ,IL-6 was positively correlated with the negative symptoms scores (r=0 .319 ,P<0 .01) ,TNF-α was positively correlated with the positive symptoms scores (r= 0 .281 ,P< 0 .01) ,NGF was negatively correlated with the positive symptoms scores(r= -0 .229 ,P<0 .05) ,BDNF was negatively correlated with the positive symptoms scores (r= -0 .272 ,P< 0 .05) .The cut-off values of serum IL-1β,IL-6 ,TNF-α,NGF and BDNF in the auxiliary diagnosis of schizophrenia were 40 .083 ,20 .037 ,17 .115 ,19 .998 ,584 .157pg/mL respectively ,the corresponding areas under the ROC were 0 .723 ,0 .772 ,0 .686 ,0 .712 and 0 .708 respectively ,the sensitivities were 0 .565 ,0 .871 ,0 .894 ,0 .859 and 0 .729 respectively ,and the specificities were 0 .871 ,0 .565 ,0 . 365 ,0 .494 and 0 .624 respectively .Conclusion The levels of serum IL-1 ,IL-6 ,TNF-α,NGF and BDNF have the correlation with the clinical symptoms of schizophrenic inpatients and have a certain value in the auxiliary diagnosis of schizophrenia .

Study on Depression Diagnosis Based on TCM Four Diagnostic and Auxiliary Diagnosis ;System / 中国中医药信息杂志

Objective Base on the theory of traditional Chinese medicine (TCM), obtained human diagnostic information available for joint syndrome differentiation is integrated based on subjective and objective combined syndrome differentiation, in the form of data expression of TCM four diagnosis, forms multiple information fusion of open platform for TCM diagnosis and treatment, and provides some revelation for promoting the development of depression and treatment technology. Methods Totally 30 depression patients and 30 normal people were selected according to the inclusion criteria. TCM four diagnostic and auxiliary diagnosis instrument was used to collect information of four diagnosis, and the statistical software was used for the analysis on pulse diagnosis, and information features of digitalized tongue and listening diagnosis of patients in depression group and normal group were studied. Results Compared with depression group, pulse frequency, fluency, and heart rate of normal group were a bit higher than depression group, without statistical significance (P>0.05);There was statistical significance among pulse frequency, strength, tightness, and pulse wave velocity between the normal group and depression group (P<0.05). 30 patients had 6 depression syndrome types:heart-gallbladder qi deficiency (8 cases), phlegm-heat attacking internally (6 cases), fire excess from yin deficiency (6 cases), liver depression forming fire (6 cases), intense heart fire (3 cases), and heart-spleen deficiency (3 cases). Conclusion The results of differences in pulse diagram parameters were consistent with the theory of classical TCM pulse theory. The results of differences in pulse wave velocity conform to the modern medical research conclusion. TCM four diagnostic auxiliary diagnosis and treatment technology can realize the dynamic detection of depression patients with four diagnostic information, and establish diagnostic methods for depression based on digitalized four diagnostic auxiliary diagnosis.

A preliminary test of gastroesophageal reflux disease questionnaire serving as auxiliary diagnosis of gastroesophageal reflux disease in infants and young children / 中华实用儿科临床杂志

Objective To preliminarily test the value of gastroesophageal reflux disease questionnaire (GERD-Q) in auxiliary diagnosis of gastroesophageal reflux disease(GERD) in infants and young children.Methods From January 2011 to February 2014,148 infants and 87 young children with suspected GERD symptoms were enrolled in the outpatient and inpatient departments of Wuhan Women and Children's Medical Care Center.The diagnosis of GERD were made through 24 h esophageal pH monitoring and upper gastrointestinal hysterosalpingography.Those with any examinations being positive were brought into GERD group,and the others into the control group.All cases had been surveyed with GERD-Q.Using SPSS17.0 statistical software,the ratio was compared with chi-square test,and the difference of the scores between groups with t test.Results In infants (1 to 11 months),the individual symptom scores (ISS) of the 6 symptoms in the GERD group (n =111) were all higher than those in the control group (37 cases) (P ＜ 0.05),and the composite and symptom scores (CSS) [(131.43 ± 66.56) scores] in the GERD group was higher than that [(33.70 ± 40.03) scores] in the control group (t =8.42,P ＜ 0.05).In young children (1 to 3 years old),the ISS in the GERD group(55 cases) were all higher than those in the control group(32 cases),and the CSS[(98.58 ± 66.75) scores] in the GERD group was also higher than that [(28.50 ± 35.95) scores] in the control group(t =5.49,P ＜ 0.05).Conclusions There is a good correlation for age-specific GERD-Q to distinguish GERD symptoms in infants and young children,which is suitable for the assessment of GERD.

Value of GFAP and MBP in diagnosing early brain contusion and laceration / 国际检验医学杂志

Objective To investigate the diagnostic value of the combined detection of serum glial fibrillary acidic protein (GFAP)and myelin basic protein (MBP)in the patients with early brain contusion and laceration.Methods ELISA was adopted to detect serum GFAP and MBP.The one-way ANOVA analysis was adopted to conduct the comparison among groups and the q test was adopted to conduct the pairwise comparison for analyzing the differences between the brain contusion and laceration patients with the healthy population.Results The serum GFAP and MBP levels had statistically significant differences among the mild craniocerebral injury group,severe craniocerebral injury group and the healthy control (P <0.05);which had statistically signifi-cant differences between the control group and the mild craniocerebral injury group(P <0.05);which had statistically significant differences between the mild craniocerebral injury group and the severe craniocerebral group (P <0.05 );which had statistically significant differences between the control group and the severe craniocerebral injury group (P <0.05).The serum GFAP and MBP levels in the early stage of brain contusion and laceration were significantly higher than those in the control group,moreover,the more severe the injury,the more obvious the increase of serum GFAP and MBP.Conclusion The combined detection of serum GFAP and MBP can be regarded as the auxiliary indexes for the early diagnosis of early brain contusion and laceration and the eval-uation of the injury degree.

Auxiliary Diagnosis Value of Glucose-6 Phosphate Dehydrogenase Activity on Thalassemia / 实用儿科临床杂志

Objective To explore the value and applicability of the activity of glucose-6 phosphate dehydrogenase(G-6PD) for the auxiliary diagnosis of thalassemia.Methods Nine hundred and forty samples verified by the agar gel hemoglobin electrophoresis and(or) gene diagnosis,blood count measurement,serum ferritin and G-6PD activity test were divided into 3 groups [820 cases of thalassemia in group A;40 cases of iron deficiency anemia(IDA) in group B;80 cases normal control group in group C] and the G-6PD activities of them were analyzed statistically.Results The activity of G-6PD of those samples were(35.23?7.11),(34.95?10.72),(26.64?10.85),(23.86?7.68),(19.89?5.99),(18.65?6.67),(16.75?5.49) NBTU respectively in HbH disease,?-thalassemia major,?-thalassemia intermedia,IDA,?-thalassemia minor,? combine with ?-thalassemia,?-thalassemia trait,there were significant differences compared with normal control group(Pa0.05).Conclusions G-6PD activity increase in both thalassemia and IDA group,it can be used in auxiliary diagnosis of thalassemia but had its serviceable range.It′s suitable for the auxiliary diagnosis of HbH disease and ?-thalassemia major,but not for the discrimination of gene category in thalassemia.