Objective To observe value of echocardiographic evaluation on infants with pulmonary atresia and intact ventricular septum(PA/IVS)for surgical decision and post operation right ventricle(RV)development.Methods Forty-six PA/IVS infants who underwent pulmonary valve(PV)annuloplasty(group A,n=25),PV annuloplasty and RV outflow tract reconstruction with/without additional systemic-to-pulmonary artery shunt(group B,n=15),and systemic-to-pulmonary artery shunt and atrial septal enlargement(group C,n=6)were retrospectively enrolled.Status of RV developments were compared among groups before operation as well as 1 and 6 months after operation.Results The presentation age in group B was younger than,while in group C was older than that in group A(both P＜0.05).Before operation,tricuspid valve(TV)annulus diameter,TV annulus Z-score and TV/mitral valve(MV)annulus ratio in groups B and C were both smaller than those in group A(all P＜0.05),whereas RV/left ventricle(LV)longitudinal diameter ratio in group B was larger and PV annulus Z-score in group C was smaller than those in group A(both P＜0.05).Meanwhile,preoperative PV annulus Z-score and RV/LV longitudinal diameter ratio in group B were both larger than those in group C(both P＜0.05).One month after operations,TV annulus diameter,TV annulus Z-score and TV/MV annulus ratio in group B and C,as well as PV annulus diameter,PV annulus Z-score and RV/LV longitudinal diameter ratio in group C were all smaller than those in group A(all P＜0.05),while PV annulus diameter,PV annulus Z-score and RV/LV longitudinal diameter ratio in group C were all smaller than those in group B(all P＜0.05).Six months after operations,no significant difference of TV annulus diameter,PV annulus diameter,PV annulus Z-score,TV/MV annulus ratio nor RV/LV longitudinal diameter ratio was found between group A and B(all P＞0.05),but the above indexes in group C were all lower than those in group A and B(all P＜0.05).Besides,no significant difference of TV annulus Z-score was found between group A and B(P＞0.05),which were lower in group C than in group A(P＜0.05).Conclusion Echocardiographic evaluation on PA/IVS infants was helpful to establishment of forward blood flow from RV to pulmonary arteries in time,hence promoting RV development.

ObjectiveTo investigate the deafness genetic mutation spectrum in nonsyndromic hearing impairment (NSHI) associated with enlarged vestibular aqueducts (EVA). MethodsFrom October, 2015 to August, 2016, 85 patients with NSHI from Hubei Yichang Special Education School were examined with temporal bone CT, and 20 deafness-related gene mutations in GJB2, GJB3, SLC26A4 and mtDNA 12S rRNA were detected with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. ResultsA total of 31 patients were found EVA with temporal bone CT. Compared with non-EVA patients, the proportion of deafness-related gene mutations was more in patients with EVA (χ² = 11.160, P = 0.001), especially for c.919-2A>G mutation of SLC26A4 (χ² = 23.870, P < 0.001). ConclusionThe deafness gene mutation spectrum is different in NSHI patients with or without EVA. It is needed to optimize genetic testing scheme for deafness for early diagnosis and intervention of NSHI associated with EVA.

ObjectiveTo explore the application value of CT pulmonary angiography (CTPA) in assessing the severity of acute pulmonary embolism (APE) and right heart function in rehabilitation patients. MethodsFrom January, 2013 to January, 2020, 133 inpatients (94 positive and 39 negative) who underwent CTPA examination in Beijing Bo'ai Hospital were involved. Positive patients were further divided into mild, moderate and severe groups based on the pulmonary artery obstruction index (PAOI). The clinical parameters and right heart function indicators were compared. Spearman correlation analysis was used to analyze the correlation between PAOI, and clinical parameters and right heart function indicators, and Logistic regression analysis was used to predict the risk factors of APE. ResultsThere was significant difference in lower extremity venous thrombosis, D-dimer, oxygen partial pressure, PAOI and left process of interventricular septum among four groups (H ≥ 12.350, P < 0.01). PAOI was moderately positively correlated with D-dimer (r = 0.443, P < 0.001) and left process of interventricular septum (r = 0.520, P < 0.001), and was weakly positively correlated with lower extremity venous thrombosis (r = 0.399, P < 0.001), left pulmonary artery diameter (r = 0.213, P = 0.014) and inferior vena cava regurgitation (r = 0.229, P = 0.008). Lower extremity venous thrombosis (OR = 7.708, P < 0.001) and left process of interventricular septum (OR = 3.641, P = 0.008) were independent risk factors for the onset of APE. The combination of the two indicators was effective for diagnosis of APE, and AUC was 0.795 (95% CI 0.715 to 0.874). ConclusionCTPA may be applied to evaluate the severity of APE and right heart function in rehabilitation patients.

Objective: To elucidate clinical characteristics and build a prognostic nomogram for patients with vulvar cancer. Methods: The study population was drawn from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly assigned to training and validation sets. Cox proportional hazards model and competing risk model were used to identify the prognostic parameters of overall survival (OS) and cancer-specific survival (CSS) to construct a nomogram. The nomogram was assessed by concordance index (C-index), area under the curve (AUC), calibration plot, and decision curve analysis (DCA). Results: A total of 20,716 patients were included in epidemiological analysis, of whom 7,025 patients were selected in survival analysis, including 4,215 and 2,810 in training and validation sets, respectively. The multivariate Cox model showed that the predictors for OS were age, marital status, histopathology, differentiation and tumor node metastasis (TNM) stages, whether to undergo surgery and chemotherapy. However, the predictors for CSS were age, race, differentiation and TNM stages, whether to undergo surgery and radiation. The C-index for OS and CSS in the training set were 0.76 and 0.80. The AUC in the training set for 1-, 3- and 5-year OS and CSS were 0.84, 0.81, 0.80 and 0.88, 0.85, 0.83, respectively, which was similar in the validation set. The calibration curves showed good agreement between prediction and actual observations. DCA revealed that the nomogram had a better discrimination than TNM stages. Conclusions The nomogram showed accurate prognostic prediction in OS and CSS for vulvar cancer, which could provide guidance to clinical practice.

Objective:To develop a neural network model for the evaluation of glomerular filtration rate (GFR) based on multilayer perceptual neural network, and to compare with the improved Chinese based creatinine GFR evaluation formula (C-GFR cr) and the evaluation formula (EPI-GFR cr) of the American Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) for the clinical applicability of multilayer perceptual neural network model in evaluating GFR. Methods:A total of 684 chronic kidney disease (CKD) patients used for developing a modified version of China′s based creatinine GFR evaluation formula were taken as the research object. The data of 454 patients were randomly selected as the development group and the data of the other 230 patients were as the verification group. The multilayer perceptual neural network GFR evaluation model (M-GFR cr) was established. With the double plasma GFR as the reference value (rGFR), the correlation, mean difference, mean absolute difference, precision and accuracy of C-GFR cr, EPI-GFR cr and M-GFR cr were compared. Results:Among the 684 CKD patients, there were 352 males and 332 females, with age of (49.9±15.8) years. The correlation between M-GFR cr and rGFR was the highest (Pearson correlation =0.93, P<0.001). The mean difference of M-GFR cr was lower than that of C-GFR cr ( Z=9.929, P<0.001) and EPI-GFR cr ( Z=10.573, P<0.001). The mean absolute difference of M-GFR cr was also lower than that of C-GFR cr ( Z=3.953, P<0.001) and EPI-GFR cr ( Z=4.210, P<0.001). The accuracy of ±15% of M-GFR cr was higher than that of C-GFR cr ( χ2=26.068, P<0.001) and EPI-GFR cr ( χ2=23.154, P<0.001). The accuracy of ±30% of M-GFR cr was also higher than that of C-GFR cr ( χ2=8.264, P=0.001) and EPI-GFR cr ( χ2=11.963, P=0.001). The results of different stages of CKD showed that in the early stage of CKD (CKD 1-2), the mean difference of M-GFR cr was lower than that of C-GFR cr ( Z=7.401, P<0.001) and EPI-GFR cr ( Z=8.096, P<0.001); the mean absolute difference of M-GFR cr was also lower than that of C-GFR cr ( Z=4.723, P<0.001) and EPI-GFR cr ( Z=4.946, P<0.001); the accuracy of ±15% of M-GFR cr was higher than that of C-GFR cr ( χ2=23.547, P<0.001) and EPI-GFR cr ( χ2=26.421, P<0.001); the accuracy of ±30% of M-GFR cr was also higher than that of C-GFR cr ( χ2=12.089, P=0.001) and EPI-GFR cr ( χ2=16.168, P<0.001). But there was no significant difference in the applicability among C-GFR cr, EPI-GFR cr and M-GFR cr in the advanced stages of CKD (CKD 3-5). Conclusion:Compared with the improved Chinese based creatinine GFR evaluation formula C-GFR cr and CKD-EPI evaluation formula EPI-GFR cr, the accuracy of multilayer perceptual neural network model to evaluate GFR in CKD patients has been significantly improved, especially in CKD 1-2 stage.

Lung cancer is the most threatening tumor disease to human health. Early detection is crucial to improve the survival rate and recovery rate of lung cancer patients. Existing methods use the two-dimensional multi-view framework to learn lung nodules features and simply integrate multi-view features to achieve the classification of benign and malignant lung nodules. However, these methods suffer from the problems of not capturing the spatial features effectively and ignoring the variability of multi-views. Therefore, this paper proposes a three-dimensional (3D) multi-view convolutional neural network (MVCNN) framework. To further solve the problem of different views in the multi-view model, a 3D multi-view squeeze-and-excitation convolution neural network (MVSECNN) model is constructed by introducing the squeeze-and-excitation (SE) module in the feature fusion stage. Finally, statistical methods are used to analyze model predictions and doctor annotations. In the independent test set, the classification accuracy and sensitivity of the model were 96.04% and 98.59% respectively, which were higher than other state-of-the-art methods. The consistency score between the predictions of the model and the pathological diagnosis results was 0.948, which is significantly higher than that between the doctor annotations and the pathological diagnosis results. The methods presented in this paper can effectively learn the spatial heterogeneity of lung nodules and solve the problem of multi-view differences. At the same time, the classification of benign and malignant lung nodules can be achieved, which is of great significance for assisting doctors in clinical diagnosis.
Humans ; Lung/pathology* ; Lung Neoplasms/pathology* ; Neural Networks, Computer ; Tomography, X-Ray Computed/methods*

Objective: To establish the HPLC fingerprint of Olibanum. Methods: The column was Agilent ZORBAX SBC18(250 mm×4. 6 mm,5 μm) with the mobile phase of acetonitrile-0. 1% phosphoric acid (gradient elution) at a flow rate of 1. 0 ml·min-1, the detection wavelength was 270 nm,the column temperature was 30℃,and the injection volume was 10 μl. Olibanum samples from different regions were detected for the characteristic fingerprint. Similarity evaluation software for chromatographic fingerprint of tradi-tional Chinese medicine (2012 edition) was used for the common peaks identification and similarity evaluation. Results: The HPLC fingerprint analysis method for Olibanum was established. The fingerprint consisted of 10 common peaks. The similarities of the finger-prints of twelve samples from different regions were above 0. 95. Conclusion: The method is simple and rapid with good reproducibili-ty, which provides basis for the quality control and evaluation standard of Olibanum.

Objective To explore a method of screening the core indicators in the emergency database that can be used to evaluate the in-hospital fatal gastrointestinal rebleeding by using the big data algorithm. Methods Based on the emergency database of the Chinese PLA General Hospital, through the big data retrieval technology, all the 647 patients diagnosed as gastrointestinal bleeding in the emergency database were enrolled, except those who were admitted to the hospital for the first time and whose hemoglobin (Hb) was less than 90 g/L or did not undergo Hb test. Among them, there were 313 in the rebleeding group (fatal rebleeding in the hospital) and 334 in the non-rebleeding group (no fatal rebleeding in the hospital). General data of patients were collected, including gender, age, physical signs, blood gas, test index collection data, and the identification of gastrointestinal rebleeding. The fusion algorithm of rough set algorithm, genetic algorithm, and cellular automaton algorithm were used to calculate the key indicators that affect gastrointestinal rebleeding. Results A total of 499 indicators were calculated by machine fusion algorithm, after screening 5 times repeatedly, 24 key indicators were screened out, 3 of which were vital signs, including systolic blood pressure (SBP), diastolic blood pressure (DBP), temperature (T); 7 key indicators of blood routine, including white blood cell count (WBC), eosinophil (EOS), monocyte (MONO), Hb, hematocrit (HCT), red cell distribution width (RDW), mean corpuscular hemoglobin (MCH); 3 key indicators of coagulation, including prothrombin time (PT), plasma fibrinogen (FIB), activated partial thromboplastin time (APTT); 5 key indicators of biochemical, including myoglobin (MYO), chloride, glucose (GLU), serum albumin (ALB), total bilirubin (TBil); and 6 key indicators of blood gas, including pH, lactate (Lac), oxygen saturation (SO2), base excess (BE), bicarbonate (HCO3-), partial pressure of carbon dioxide (PaCO2). Conclusions Using big data technology, 24 core indicators for evaluating the fatal gastrointestinal rebleeding in hospitals can be screened out from the emergency database, providing new ideas and methods for clinical diagnosis of the disease.

Central Nervous System ; pathology ; Humans ; Lymphoproliferative Disorders ; pathology ; Transplantation ; adverse effects