ABSTRACT
Objective:To explore the correlation between preoperative echocardiography indicators and surgical prognosis of children with ventricular septal defect (VSD) and conduct verification based on significant indicators and indicator ratios.Methods:A total of 1 357 children with VSD who were admitted to the Children′s Hospital, Zhejiang University School of Medicine from June 2016 to June 2021 were selected. Various measurements including the size of the VSD, left ventricular ejection fraction (LVEF), left atrial (LA) diameter, the aortic (AO) flow rate, the tricuspid regurgitation velocity and pressure gradient were extracted from preoperative echocardiography reports. This paper explored the correlation between echocardiography reports indicators, indicator ratios and postoperative auxiliary ventilation time, respectively. The patients were divided into two groups according to whether there were complications, and the differences of echocardiography reports indicators between the two groups were compared. A linear regression model was established to predict the postoperative auxiliary ventilation time using these indicators, and the least absolute shrinkage and selection operator (LASSO) regression model was used for variable selection.Results:The VSD size and AO flow velocity were weakly correlated with the postoperative auxiliary ventilation time ( r=0.32, 0.25; all P<0.01). There was no significant correlation between VSD flow velocity and postoperative auxiliary ventilation time. The AO flow velocity/VSD flow velocity and LVEF/VSD flow velocity were strongly correlated with the postoperative auxiliary ventilation time ( r=0.67, 0.51; all P<0.01). In the significance test, there were no significant differences in tricuspid regurgitation flow velocity, tricuspid regurgitation pressure gradient, LA diameter, and LVEF between the complication group and the non-complication group(all P>0.01). However, the ratio of LVEF/tricuspid regurgitation velocity in the complication group was significantly lower than that in the non-complication group, and the ratio of tricuspid regurgitation pressure gradient/LA diameter was significantly higher than that in the non-complication group (all P<0.01). The postoperative auxiliary ventilation time of VSD patients was predicted on an independent test set, with an R2 of 0.51. Conclusions:Echocardiography report indicator ratios of AO flow velocity/VSD flow velocity and LVEF/VSD flow velocity have strong correlations with postoperative auxiliary ventilation time in children with VSD, and the ratios of LVEF/tricuspid regurgitation velocity and tricuspid regurgitation pressure gradient/LA diameter are significantly different between groups with and without postoperative complications. The ratios of indicators can significantly improve this correlation and difference, which can be used to predict the prognosis of VSD operation.
ABSTRACT
Objective:To compare the effect of posterolateral plate and anterolateral locking plate in surgical treatment for extra-articular distal humeral shaft fractures.Methods:A retrospective case-control study was made on 52 patients with extra-articular distal humeral shaft fractures admitted in Tianjin Hospital from January 2014 to October 2016. There were 32 males and 20 females, with the age from 18 to 56 years [(36.9±10.9)years]. According to the AO/OTA classification, there were 15 patients with type A, 32 type B, and 5 type C. Twenty-three patients were treated with osterolateral locking plate (Group A) and 29 with anterolateral locking plate (Group B). Operation time, bone union time, range of motion of the elbow, Mayo elbow performance score and complication rate were evaluated.Results:All patients were followed up for 12-20 months [(13.7±2.2)months]. Operation time was (79.8±9.6)minutes in Group A and (85.0±11.6)minutes in Group B ( P>0.05). Bone union time was (4.1±1.0)months in Group A and (4.1±1.0)months in Group B ( P>0.05). Degrees of elbow extension was 3.9°(0.0°, 5.0°) in Group A, and 4.4°(0.0°, 5.0°) in Group B ( P>0.05). Degrees of elbow flexion was 127.4°(125.0°, 132.50°) in Group A and 128.5°(122.5°, 132.5°) in Group B ( P>0.05). Mayo elbow performance score was 91.0 (90.0, 93.5) points in Group A and 90.2 (90.0, 92.5)points in Group B ( P>0.05). Radial nerve damage was noted after operation, showing no significant difference between two groups [2 patients (9%) in Group A and 3 patients (10%) in Group B] ( P>0.05), and the symptoms were recovered in all patients within 3 months. Conclusions:Both the posterolateral and anterolateral locking plate are effective in surgical treatment for extra-articular distal humeral shaft fractures. However, the posterolateral plate can be placed closer to the distal end of the humerus and the multi-directional locking design is more stable, which has advantages for the patient with fracture line close to the elbow joint.
ABSTRACT
The electronic stethoscope combined with artificial intelligence (AI) technology has realized the digital acquisition of heart sounds and intelligent identification of congenital heart disease, which provides objective basis for heart sound auscultation and improves the accuracy of congenital heart disease diagnosis. At the present stage, the AI based cardiac auscultation technique mainly focuses on the research of AI algorithms, and the researchers have designed and summarized a variety of effective algorithms based on the characteristics of cardiac audio data, among which the mel-frequency cepstral coefficients (MFCC) is the most effective one, and widely used in the cardiac auscultation. However, the current cardiac sound analysis techniques are based on specific data sets, and have not been validated in clinic, so the performance of algorithms need to be further verified. The lack of heart sound data, especially the high-quality, standardized, publicly available heart sound database with disease labeling, further restricts the development of heart sound diagnostic analysis and its application in screening. Therefore, expert consensus is necessary in establishing an authoritative heart sound database and standardizing the heart sound auscultation screening process for congenital heart disease. This paper provides an overview of the research and application status of auscultation algorithm and hardware equipment based on AI in auscultation screening of congenital heart disease, and puts forward the problems to be solved in clinical application of AI auscultation screening technology.
Subject(s)
Humans , Algorithms , Artificial Intelligence , Heart Auscultation/trends , Heart Defects, Congenital/diagnosis , Mass Screening/methodsABSTRACT
Objective To establish a pediatric echocardiographic normal reference system based on clinical BigData and overcome limitations such as insufficient sample size and diverse in methods of normalization . Methods Measurements were extracted from total 71 831 pediatric echocardiography reports in the past 5 years by using the Natural Language Processing ( NLP) technology . Among them ,a total of 12 732 reports were labeled as normal and were used to establish the normal reference system . A local regression ( LOESS ) approach was used to optimize both the reference value and variance across 5 grow th variables ( aortic diameter ,left atrium diameter ,left ventricle end‐diastolic endocardial diameter ,left main coronary artery diameter ,and right main coronary artery diameter) . T wo Z scores adjusted for age/sex and body surface area ( BSA ) were established respectively . In addition , 4 459 echocardiography reports with BSA information were used to evaluate these two Z scores . Results T wo Z scores generated from 4 459 reports showed pretty good normal distribution . T here were close strong correlations among two Z scores with Z scores generated based on the Pediatric Heart Network ( PHN ) . T he average correlation coefficient between BSA‐adjust Z scores and PHN Z scores was 0 .954 . T he average correlation coefficient between age/sex‐adjust Z scores and PHN Z scores was 0 .895 . T he results of this project were available as Z score calculator using the following link :http ://hdb .nbscn .org/zscore . Conclusions BigData provides a more efficient and better approach to establish normal reference systems in pediatric echocardiography .
ABSTRACT
A multi-channel central monitoring system based on B/S mode is designed. It is consistent of the central monitoring server software, the Internet Explorer in the client PC, and a physiological signal collector. The server software can accept two client's request of data transfer, and real-time monitor several patients through Internet. The client uses the B/S mode, and just need to install an ActiveX control. The only thing users should to do is opening the Intemet Explorer, from which the waveform and signals are shown and transferred. The system extends the central monitoring service from hospital to the community, and is benefit for patient's long-term observation and cutting fees. Additionally, it can be a new solution of network based health care devices.
ABSTRACT
A real-time tele-monitoring system for physiological multi-parameter based on Internet is introduced,and physiological signals are transmitted by P2P network technology.The experiment results show that the speed of data transfer has been improved greatly using P2P technology,and physiological signals,such as ECG,can be monitored in real-time.