Cardiovascular disease (CVD) is one of the leading causes of death worldwide. Heart sound classification plays a key role in the early detection of CVD. The difference between normal and abnormal heart sounds is not obvious. In this paper, in order to improve the accuracy of the heart sound classification model, we propose a heart sound feature extraction method based on bispectral analysis and combine it with convolutional neural network (CNN) to classify heart sounds. The model can effectively suppress Gaussian noise by using bispectral analysis and can effectively extract the features of heart sound signals without relying on the accurate segmentation of heart sound signals. At the same time, the model combines with the strong classification performance of convolutional neural network and finally achieves the accurate classification of heart sound. According to the experimental results, the proposed algorithm achieves 0.910, 0.884 and 0.940 in terms of accuracy, sensitivity and specificity under the same data and experimental conditions, respectively. Compared with other heart sound classification algorithms, the proposed algorithm shows a significant improvement and strong robustness and generalization ability, so it is expected to be applied to the auxiliary detection of congenital heart disease.
ObjectiveTo evaluate the effectiveness of total hip arthroplasty (THA) combined with subtrochanteric osteotomy in the treatment of Crowe type Ⅳdevelopmental dysplasia of the hip (DDH).MethodsBetween April 2008 and June 2016, 71 patients with unilateral Crowe type Ⅳ DDH were treated with THA. Of 71 cases, 44 were performed with subtrochanteric osteotomy (osteotomy group) and 27 were performed without subtrochanteric osteotomy (non-osteotomy group). There was no significant difference in gender, age, body mass, height, body mass index, affected side, and preoperative Harris score between 2 groups (P>0.05). The complications were recorded and the effectiveness was assessed by Harris score. Besides, the femoral dislocation height and the settling depth of sleeve were measured in the pelvic anteroposterior X-ray film pre- and post-operatively.ResultsOsteotomy group was followed up 12-90 months (mean. 34.77 months), and non-osteotomy group was followed up 12-79 months (mean, 34.33 months). There was no significant difference in follow-up time between 2 groups (t=–0.088, P=0.930). There was 11 cases of intraoperative or postoperative complications in osteotomy group, and 3 cases of postoperative complications in non-osteotomy group. Among the osteotomy group, 1 case had nonunion due to infection and received revision after 20 months. No loosening or dislocation of the implant occurred in both 2 groups. Significant differences were found in femoral dislocation height and settling depth of sleeve between 2 groups (t=–8.452, P=0.000; t=6.783, P=0.000). Moreover, the osteotomy length was not correlated with the settling depth of sleeve (r=–0.038, P=0.806). At last follow-up, there was no significant difference in Harris score between 2 groups (t=–1.160, P=0.254).ConclusionTHA combined with subtrochanteric osteotomy can provide a favorable outcome for treating Crowe type Ⅳ DDH. Furthermore, patients with higher femoral dislocation and severely narrow femoral proximal canals are prone to be peformed with subtrochanteric osteotomy.
Identification of molecular subtypes of malignant tumors plays a vital role in individualized diagnosis, personalized treatment, and prognosis prediction of cancer patients. The continuous improvement of comprehensive tumor genomics database and the ongoing breakthroughs in deep learning technology have driven further advancements in computer-aided tumor classification. Although the existing classification methods based on gene expression omnibus database take the complexity of cancer molecular classification into account, they ignore the internal correlation and synergism of genes. To solve this problem, we propose a multi-layer graph convolutional network model for breast cancer subtype classification combined with hierarchical attention network. This model constructs the graph embedding datasets of patients’ genes, and develops a new end-to-end multi-classification model, which can effectively recognize molecular subtypes of breast cancer. A large number of test data prove the good performance of this new model in the classification of breast cancer subtypes. Compared to the original graph convolutional neural networks and two mainstream graph neural network classification algorithms, the new model has remarkable advantages. The accuracy, weight-F1-score, weight-recall, and weight-precision of our model in seven-category classification has reached 0.851 7, 0.823 5, 0.851 7 and 0.793 6 respectively. In the four-category classification, the results are 0.928 5, 0.894 9, 0.928 5 and 0.865 0 respectively. In addition, compared with the latest breast cancer subtype classification algorithms, the method proposed in this paper also achieved the highest classification accuracy. In summary, the model proposed in this paper may serve as an auxiliary diagnostic technology, providing a reliable option for precise classification of breast cancer subtypes in the future and laying the theoretical foundation for computer-aided tumor classification.
ObjectiveTo explore the risk factors of perioperative severe complications (Clavien-Dindo grade Ⅲ and above) after laparoscopic radical resection of colorectal cancer (CRC). MethodsThe clinicopathologic data of CRC patients who met the inclusion and exclusion criteria treated in the Shaanxi Provincial People’s Hospital from January 2018 to December 2020 were retrospectively analyzed. The univariate and multivariate logistic analyses were used to explore the risk factors of perioperative severe complications after the laparoscopic radical resection of CRC. ResultsAtotal of 170 eligible patients were included in this study, and the postoperative complications occurred in 45 patients, 24 of whom were severe complications. The univariate analysis results showed that the age (P<0.001), body mass index (BMI, P=0.047), age adjusted Charlson complication index (aCCI) score (P=0.002), American Association of Anesthesiologists (ASA) classification (P<0.001), prognostic nutritional index (PNI, P=0.011), preoperative anemia (P=0.011), operation numbers of surgeon (P=0.003), and operation time (P=0.026) were related to the perioperative severe complications in the patients underwent the laparoscopic radical resection of CRC. The statistic indexes of univariate analysis (P<0.05) combined with indexes of clinical significance were included in the multivariate analysis, the results showed that the ASA classification Ⅲ– Ⅳ (OR=3.536, P=0.027), BMI ≥25 kg/m2 (OR=3.228, P=0.031), preoperative anemia (OR=2.876, P=0.049), operation numbers of surgeon <300 (OR=0.324, P=0.046), and the operation time ≥300 min (OR=3.480, P=0.020) increased the probability of perioperative severe complications in the patients underwent the laparoscopic radical resection of CRC. ConclusionsThe results of this study suggest that clinicians should pay attention to the perioperative management of patients with CRC, such as adequately evaluating the preoperative status of patients by ASA classification, PNI, and aCCI to adjust the malnutrition of patients; after operation, the patients with BMI ≥25 kg/m2 and operation time more than 300 min should be paid more attention. At the same time, the surgeon should continuously accumulate the operation numbers and improve the operation proficiency so as to reduce the occurrence of perioperative severe complications after laparoscopic radical resection of CRC.
【Abstract】Objective To look for a feasible way to evaluate hepatic reserve function completely by retention rate of indocyanine green at 15 minutes （ICGR15）and Child-Pugh classification supplemented by hepatic clearance of D-sorbitol (CLh-s). Methods The ICGR15, Child-Pugh classification and CLh-s were examined in 186 patients with liver cirrhosis. Relations between CLh-s and operative complications were further studied when ICGR15 and Child-Pugh classification was superposed. ResultsThe superpositions of ICGR15 (40% being boundary) and Child-Pugh classification was centralized between Child-Pugh B and C. ICGR15 of 17 examples were higher than 40% in 63 examples of Child-Pugh B. Eight examples of them had some complications, CLh-s=(584.52±98.27) ml/min (CLh-s＜700 ml/min), while 9 examples of them had no complications, CLh-s=(801.25±75.04) ml/min (CLh-s＞700 ml/min). Conclusion The CLh-s could be interrelated with operative complication, and it is considered as an effective supplement to ICGR15 and Child-Pugh classification for the evaluation of hepatic reserve function, CLh-s (700 ml/min being boundary) could be used to predict operative complication, to evaluate hepatic reserve function effectively, and to provide the basis for choosing the right time for operation.
ObjectiveTo analyze the predictive value of ensemble classification algorithm of random forest for delirium risk in ICU patients with cardiothoracic surgery. MethodsA total of 360 patients hospitalized in cardiothoracic ICU of our hospital from June 2019 to December 2020 were retrospectively analyzed. There were 193 males and 167 females, aged 18-80 (56.45±9.33) years. The patients were divided into a delirium group and a control group according to whether delirium occurred during hospitalization or not. The clinical data of the two groups were compared, and the related factors affecting the occurrence of delirium in cardiothoracic ICU patients were predicted by the multivariate logistic regression analysis and the ensemble classification algorithm of random forest respectively, and the difference of the prediction efficiency between the two groups was compared.ResultsOf the included patients, 19 patients fell out, 165 patients developed ICU delirium and were enrolled into the delirium group, with an incidence of 48.39% in ICU, and the remaining 176 patients without ICU delirium were enrolled into the control group. There was no statistical significance in gender, educational level, or other general data between the two groups (P>0.05). But compared with the control group, the patients of the delirium group were older, length of hospital stay was longer, and acute physiology and chronic health evaluationⅡ(APACHEⅡ) score, proportion of mechanical assisted ventilation, physical constraints, sedative drug use in the delirium group were higher (P<0.05). Multivariate logistic regression analysis showed that age (OR=1.162), length of hospital stay (OR=1.238), APACHEⅡ score (OR=1.057), mechanical ventilation (OR=1.329), physical constraints (OR=1.345) and sedative drug use (OR=1.630) were independent risk factors for delirium of cardiothoracic ICU patients. The variables in the random forest model for sorting, on top of important predictor variable were: age, length of hospital stay, APACHEⅡ score, mechanical ventilation, physical constraints and sedative drug use. The diagnostic efficiency of ensemble classification algorithm of random forest was obviously higher than that of multivariate logistic regression analysis. The area under receiver operating characteristic curve of ensemble classification algorithm of random forest was 0.87, and the one of multivariate logistic regression analysis model was 0.79.ConclusionThe ensemble classification algorithm of random forest is more effective in predicting the occurrence of delirium in cardiothoracic ICU patients, which can be popularized and applied in clinical practice and contribute to early identification and strengthening nursing of high-risk patients.
Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly implement arrhythmia classification, which provides significant clinical value for the early screening of arrhythmias. How to select arrhythmia features effectively under limited abnormal sample supervision is an urgent issue to address. This paper proposed an arrhythmia classification algorithm based on an adaptive multi-feature fusion network. The algorithm extracted RR interval features from ECG signals, employed one-dimensional convolutional neural network (1D-CNN) to extract time-domain deep features, employed Mel frequency cepstral coefficients (MFCC) and two-dimensional convolutional neural network (2D-CNN) to extract frequency-domain deep features. The features were fused using adaptive weighting strategy for arrhythmia classification. The paper used the arrhythmia database jointly developed by the Massachusetts Institute of Technology and Beth Israel Hospital (MIT-BIH) and evaluated the algorithm under the inter-patient paradigm. Experimental results demonstrated that the proposed algorithm achieved an average precision of 75.2%, an average recall of 70.1% and an average F1-score of 71.3%, demonstrating high classification accuracy and being able to provide algorithmic support for arrhythmia classification in wearable devices.
Objective
To investigate the classification and treatment of Monteggia equivalent fractures in children.
Methods
A retrospective analysis was made on the clinical data of 35 cases of Monteggia equivalent fractures between January 2008 and January 2012. There were 17 boys and 18 girls with an average age of 7 years and 5 months (range, 1 year and 2 months to 14 years and 11 months). The causes of injury were tumbling injury in 25 cases, falling injury in 3 cases, and sport injury in 7 cases. The disease duration from injuries to admission ranged from 1 hour to 16 days (median, 28 hours). According to the criteria of self-made classification, there were 22 cases of type I (ulnar fracture with radial neck fracture or proximal radial epiphysis injury), 2 cases of type II (posterior elbow dislocation with radial neck fracture or proximal radial epiphysis injury), 10 cases of type III (ulnar fracture and/or olecranon fracture with humeral lateral condylar fracture), and 1 case of type IV (fractures of radius and ulna with radial neck fracture or proximal radial epiphysis injury). All patients were treated by open reduction and internal fixation/external fixation.
Results
All incisions healed by first intention without infection. Thirty-four cases were followed up 14 months on average (range, 12-18 months). All fractures healed at 2.5 months on average (range, 6 weeks to 5 months). According to Hospital for Special Surgery (HSS) score system, the results were excellent in 29 cases, good in 4 cases, and fair in 2 cases, with an excellent and good rate of 94%. No cubit varus/valgus or delayed ulnar nerve injury was observed.
Conclusion
New self-made classification is simple and easy to remember, and it is helpful to reduce omission diagnose rate and select therapeutic methods. Surgery is an effective method to treat Monteggia equivalent fractures.
Objective
To investigate the therapeutic effects of retinal angiomatosis in different clinical stages. To discuss the indication of vitrectomy for retinal hemangioblastoma.
Methods
The clinical data of 22 cases (33 eyes) were retrospectively analyzed. The retinal hemangiomas were divided into 5 stages according to their degrees of development from simple angioma without vessel dilation to feeder vessel dilation and intra-retinal exudates, local retinal detachment, massive retinal detachment and co mplication occurrence in proper order. The methods of treatment were laser photo coagulation, trans－scleral cryotherapy and vitrectomy. 13 eyes were treated with laser photocoagulation, 5 eyes with cryotherapy combined with laser and 11 eye s with vitrectomy. Tumor resection and silicone oil tamponade was performed in 3 eyes during vitrectomy. The patients were followed up for 46 months on average. Visual acuity (VA), the condition of the hemangioma and retina was compared pre- and post-operation respectively.
Results
In all 13 eyes treated with laser photocoagulation the hemangiomas regressed and the retina remained attached. VA improved in 2 eyes, and remained unchanged in 11 eyes. Cryother apy combined with laser photocoagulation was performed on 5 eyes. In this group, 4 eyesprime; hemangiomas regressed and no new hemangiomas occurred, proliferative vitreous retinopathy and vitreous hemorrhage was observed in 1 eye which vitrecto my was performed later. VA improved in 2 eyes, unchanged in 2 eyes and decreased in 1 eye. In the 11 eyes treated with vitreoretinal surgery, new hemangiomas wa s found in 1 eye, exudative retinal detachment was caused by hemangiomas in 2 eyes, proliferative vitreous retinopathy was observed in 2 eyes, and the retina re mained attached in 8 eyes. VA improved in 3 eyes, unimproved in 3 eyes, and decreased in 5 eyes. In the 3 eyes with surgical resection of retinal hemangioma during vitrectomy, 2 eyesprime; retina remained attached, 1 eye had exu dative retinal detachment and no new hemangiomas occurred. VA improved in 2 eyes and decreased in 1 eye.
Conclusions
Laser photocoagulation or combined with cryotherapy is effective in treating the hemangiomas in early stage. Vitrectomy is advisable for late stage of retinal angiomatosis, especially with vitreous hemorrhage, epiretinal membrane, proliferation and large scale of r etinal detachment. Surgical resection of isolated large retinal hemangioblastoma may be useful for selected patients.
(Chin J Ocul Fundus Dis,2008,24:107-110)
Portal vein blood flow is very important for the normal function of transplanted liver. The author reviewed the management methods of different portal vein thrombosis classification in the liver transplantation (LT). The prognosis of LT in the patients with Yerdel 1–3 thrombosis is similar to that the patients without thrombosis. The portal vein reconstruction of the patients with Yerdel 4 thrombosis can be realized by varicose vein to portal anastomosis, renoportal anastomosis or cavoportal hemitransposition. When anastomosis is made at the proximal side of a spontaneous shunt between the portal and cava system, the blood shunted from portal system can be reintroduced into the donor liver, which is crucial for the management of Yerdel 4 thrombosis. The establishments of artificial shunt by distal splenic vein, mesenteric vein or “multiple to one” anastomosis are effective attempts to drain the blood from portal system to the donor liver. For more severe diffuse thrombosis of portal vein system, multivisceral transplantation, including liver and small intestine, should be considered. The cases of LT in the patients with complex portal vein thrombosis are increasing, however the prognosis remains to be determined after accumulation of the cases.
