Objective To investigate the effect of the sling massage exercise on postpartum pelvic girdle pain(PPGP). Methods From March,2022 to May,2023,56 patients with PPGP in Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine were randomly divided into control group(n=28)and observation group(n=28).Both groups received routine physical therapy and healthy education,while the control group received exer-cise therapy and the observation group received sling massage exercise,for six weeks.They were assessed with Visual Analog Scale(VAS),Pelvic Girdle Questionnaire(PGQ)and active straight leg raise(ASLR)test before and after treatment,and measured resting and contraction thickness of transversus abdominis with ultrasound;and integrated electromyography(iEMG),root mean square(RMS),median frequency(MF)and mean power fre-quency(MPF)of pelvic floor muscles with surface electromyography. Results After treatment,the total effective rate was 96.43%in the observation group and 78.57%in the control group(Z=2.728,P<0.05).All the indexes improved in both groups(|t|>2.080,P<0.05)except resting thickness of transverse abdominis muscle,and improved more in the observation group than in the control group(|t|>2.161,P<0.05). Conclusion The sling massage exercise can alleviate pain,enhance the stability of the core muscle group,and improve load transfer and quality of life,better than exercise therapy.

Objective:Our study aims to predict acute kidney injury (AKI) in acute myocardial infarction (AMI) by establishing a random forest model.Methods:By using the clinical database from affiliated Dongyang Hospital of Wenzhou Medical University, a total of 1 363 AMI cases were included. Then, 75% of participants were analyzed as training subsets and the remaining 25% were testing subsets. The CARET package in R was used to filter variables and build random forest. The prediction ability of established model was evaluated by specificity, sensitivity, accuracy, relative operating characteristic curve (ROC curve) in testing subsets. In addition, the performance of random forest was compared with other 3 commonly used machine learning algorithms (Artificial Neural Network, Naive Bayes, and Support Vector Machine).Results:In this study, 30 variables including the demographic information, risk factors of cardiovascular disease, vital signs at admission, laboratory tests were identified and used to establish our random forest prediction model. The area under the curve of the testing subsets ROC was 0.893. The specificity and sensitivity of prediction model was 0.791 and 0.866, respectively. And the first creatinine, first blood urea nitrogen, and D-dimer after admission, age, mechanical ventilation were the top-five factors in this model. After comparing various machine learning algorithms, random forest model had a better performance.Conclusion:The random forest model would be used to predict the occurrence of AMI with AKI.

Objective:Based on the microarray data mining method, the function and pathway of differential genes were analyzed after the differential genes were screened. At the same time, the core genes that determine the prognosis of pediatric hepatoblastoma were screened by coexpression network, and their predictive ability was evaluated.Methods:The microarray expression profile of pediatric hepatoblastoma used in this study was from the European Institute of bioinformatics (http: //www.ebi.ac.uk/embl/). The deadline for data collection was December 31, 2018. Firstly, the differentially expressed genes (gene expression level increased to 2 times or decreased to 1/2 of the original) were screened by SAM method, then the core genes were screened by coexpression network model based on dimension reduction principle, and the gene regulation evaluation score was calculated by MCODE algorithm to evaluate its regulation ability in the whole network model.Results:According to the enrichment results of 213 differentially expressed genes, the highest enrichment degree of signal pathway was metabolic pathways (2 122.529). The misjudgment rate of signal pathway enrichment results was less than 0.001, and the misjudgment rate was statistically significant by SAM method ( P<0.001). A total of 213 differentially expressed genes in different prognosis groups were used as the basis for the construction of the coexpression network. A total of 12 differentially expressed genes were included in the coexpression network. Using the poor prognosis group as the experimental group, and the better prognosis group as the control group, the MCODE algorithm was used to calculate the gene regulatory ability score. The results showed that the highest gene for determining the prognosis control ability of children hepatblastoma was ADH1A gene with a score of 19. In addition, the regulatory ability scores of HAO1, ADH1B, ALDOB and DPYS genes were higher than or close to 5, so they could be considered as the core genes in the coexpression network module. Conclusions:According to the results of coexpression network model, ADH1A gene is closely related to the occurrence and development of hepatoblastoma in children, and its molecular biological evidence needs to be further explored to guide the clinical development of tumor targeted intervention therapy.

Objective To investigate the value of cough peak expiratory flow rate ( PEF) for the prediction of machine with-drawal in children with acute respiratory failure.Methods Eighty-five severe cases of acute respiratory failure in children were admit-ted into our hospital from September, 2010 to September, 2012, including 48 male and 37 female cases, with an age range of 2-6 years.In accordance with the necessity of endotracheal intubation 48 hours after removal of the ventilator, the patients were designated as the success group (71 cases) and the failure group (14 cases) .Differences in general clinical data, pulmonary function, blood-gas analysis results and PEF values before removal of the ventilator were compared between the 2 groups.The ROC curve was used to calcu-late Az value and evaluate the predicative value of PEF in the removal of the ventilator.Results With respect to the general medical data of the success and failure groups before removal of the ventilator, there was no statistical significance in age, gender, pediatric ill-ness scores, causes of illness, rate of lower respiratory tract infection and mechanical ventilation time, when comparisons were made be-tween the 2 groups(P>0.05).No statistical significance could be noted in respiratory rate (RR), heart rate (HR), tidal volume ( Vt) , minute ventilation( MV) , mean airway pressure( MAP) , pH value, PaO2 , PaCO2 and PaO2/FiO2 , before removal of the venti-lator, when comparisons were made between the 2 group(P>0.05).Before removal of the ventilator, PEF value of the success group was(46.3 ±8.2)L/min, which was significantly higher than that of the failure group(37.6 ±7.4)L/min, with statistical significance (P<0.05).Az value used to predict the results of ventilator removal was 0.890, and the optimal PEF value used for the prediction of ventilator removal was 40.6 L/min.Conclusion PEF value used for the prediction of ventilator removal was accurate to some extent
and could be used as a clinical evidence for ventilator removal.

A new kind of method for intraperitoneal hyperthermic chemotherapy has been proved to be very effective for the therapy of gastrointestinal cancer. In this article is reported an intraperitoneal perfusion machine which is designed for instituting the treatment. The liquor of the chemotherapy drug is infused into the abdomen after being heated by heating system; the liquor flows out of the abdomen is abandoned. The temperature of heating and the velocity of flow are controlled by MCU, thus the temperature of the liquor of the chemotherapy drug in the abdomen can be adjusted to the most favarable temperature.
Abdominal Cavity ; Antineoplastic Agents ; administration & dosage ; Gastrointestinal Neoplasms ; drug therapy ; Hot Temperature ; Humans ; Microcomputers

In this paper, with B/S application and architecture, an integrated solution of PACS is designed, and the function and application of each part of PACS based on the architecture is introduced. The PACS based on this mode is safe, stable, easy to manage and upgrade and convenient for use in telemedicine.
Computer Systems ; Humans ; Radiology Information Systems ; Research ; Software ; Telemedicine