One of critical technologies in a non-invasive positive airway pressure respirator is to output the airflow for meeting the requirement of respiratory patient in breath. In order to develop a safe and reliable blower driving system, a circuit based on the special chips MC33035 and MC33039 was designed. The linear relationship between the input control voltage and the output air flow was achieved. This designed circuit will be embedded in the non-invasive ventilator system as a module. And based on this circuit, the secure and controllable ventilation flow can be performed.
Humans ; Lung ; Respiration ; Ventilators, Mechanical

At present, the passive simulated lung including the splint lung is an important device for hospitals and manufacturers in testing the functions of a respirator. However, the human respiration simulated by this passive simulated lung is quite different from the actual respiration. And it is not able to simulate the spontaneous breathing. Therefore, including" the device simulating respiratory muscle work "," the simulated thorax" and" the simulated airway", an active mechanical lung to simulate human pulmonary ventilation was designed:3D printed human respiratory tract was developed and connected the left and right air bags at the end of the respiratory tract to simulate the left and right lungs of the human body. By controlling a motor running to drive the crank and rod to move a piston back and forth, and to deliver an alternating pressure in the simulated pleural, and so as to generate an active respiratory airflow in airway. The experimental respiratory airflow and pressure from the active mechanical lung developed in this study are consistent with the target airflow and pressure which collected from the normal adult. The developed active mechanical lung function will be conducive to improve the quality of the respirator.
Adult ; Humans ; Lung/physiology* ; Respiration ; Pulmonary Ventilation ; Respiration, Artificial ; Ventilators, Mechanical

OBJECTIVE: To investigate the effects of Fuzheng Huayu Recipe on renal interstitial fibrosis in rats induced by the toxic substances. METHODS: Forty Wistar rats were divided into 3 groups, including the normal group, model control and Fuzheng Huayu Recipe treated group. The renal fibrotic model was induced with intraperitoneal injection of dimethylnitrosamine (DMN) for 4 weeks and oral administration of food containing heavy metals such as Hg, etc for 8 weeks. From the 5th week, the rats were orally administered Fuzheng Huayu Recipe for 4 weeks. The renal tissue was stained with HE and periodic acid-silver metheramine, respectively. The serum creatinine and urea nitrogen were assayed with the kits, and the renal hydroxyproline (Hyp) contents in the homogenate of kidney tissue were measured with HCl hydrolysis. RESULTS: In the model group, the renal tubule was swollen, and the tubular epithelial cells were degenerated, necrosed and detached, with the infiltration of inflammatory cells; the tubular interstitium was expanded, characterized with the deposition of large collagens; the tubular basement membrane became thicker and wrinkled; and the renal Hyp content and serum creatinine and urea nitrogen levels increased remarkably as compared to the normal group. After the treatment with Fuzheng Huayu Recipe, the renal tubular inflammation and interstitial collagen deposition were alleviated, and the serum creatinine and urea nitrogen levels decreased significantly as compared to the model group. CONCLUSION: Administration of DMN and heavy metals can induce the renal interstitial fibrosis and impair the renal function. Fuzheng Huayu Recipe can improve the impaired renal functions and reverse the renal interstitial fibrosis.

Predicting the protein binding rate of drugs in plasma is helpful to us in understanding the pharmacokinetic characteristics of drugs, with much value of reference for early research on drug discovery. In this study, plasma protein binding rate information of 2 452 clinical drugs were collected.Two pieces of software, Molecular Operating Environment (MOE) and Mordred, were used to calculate molecular descriptors, which were used as input features of the model.Extreme gradient boosting (XGBoost) algorithm and random forest (RF) algorithm were then used to build a machine learning model.The results showed that, compared with MOE, the prediction performance of the constructed model was better using the molecular descriptor calculated by Mordred as the input of the model.The prediction performance results of the model constructed using the XGBoost algorithm and the RF algorithm were similar, and the R2 of the optimal model were both 0.715.According to the research results, it can be concluded that the drug plasma protein binding rate is closely related to some physical and chemical properties of the drug molecule, such as water solubility, octanol/water partition coefficient and conjugated double bonds.Using these parameters to predict the plasma protein binding rate of drugs has the advantages of convenience and efficiency, which can provide reference for related pharmacokinetic studies.

Objective:To explore the clinico-pathological characteristics and risk factors affecting prognosis in elderly patients with gastric cancer.Methods:A retrospective study was used to retrospectively analyze 2386 patients with gastric cancer undergoing radical surgery in Surgery Department of the Fourth Hospital of Hebei Medical University from 1 January 2012 to 1 January 2015.Patients aged 70 years and older were screened so as to analyze clinical characteristics and influencing factors for the prognosis.Results:A total of 2386 patients with gastric cancer were divided into the elderly group aged 70 years and older(342 of 2386 cases, 14.3%). There were statistically significant differences between the two groups in gender, number of concomitant diseases, NRS2002 score, PG-SGA score, tumor location, tumor diameter, histological type, Borrmann classification, tumor invasion depth staging(pT), lymph node metastasis staging(pN), the anatomic extent of tumor staging(TNM, pTNM), and Lauren classifications( P<0.05). The 981 of 2386 cases(41.4%)had postoperative complications, accompanied by 413 cases(17.3%)of surgery-related complications and 568 cases(24.0%)of non-surgery-related complications.A multivariate logistic analysis showed that the number of preoperative co-existing diseases ≥ 2 was an independent influencing factor for postoperative complications in elderly gastric cancer patients( HR=4.478, 95% CI: 1.121-7.918, P=0.006). The 5-year OS and DSS was 21.10% and 62.73% in the ≥70 years gastric cancer group, and was 54.1% and 70.0% in the <70 years gastric cancer group, respectively.The difference in the 5-year OS between the two groups was statistically significant( P<0.05), while the difference in the 5-year DSS between the two groups was not statistically significant( P>0.05). Multivariate analysis by the Cox proportional hazard model showed that the independent risk factors for the prognosis of elderly patients with gastric cancer included the low-undifferentiated histological type of the tumor( P=0.004), the depth of tumor invasion pT stage of pT4a-pT4b( P=0.007), lymph node metastasis( P=0.034), tumor pTNM stage ⅢA-ⅢC( P=0.002)and vascular tumor thrombus( P=0.034). Conclusions:Elderly patients with gastric cancer have many preoperative co-existing diseases, which increases the risk of postoperative non-surgical complications.Therefore, we should focus on the peri-operative management of their comorbid diseases so as to improve the safety and efficacy of surgery.The advanced age is not the independent risk factors for the prognosis.

ObjectiveTo study the effect of Bushen Huoxuetang on the apoptosis and the expression of B-cell lymphoma （Bcl-2）-associated X protein （Bax）/ Bcl-2 and cleaved cysteine-containing aspartate proteolytic enzyme-3 （cleaved Caspase-3） in the nude mouse model of bone metastasis of breast cancer， and explore the mechanism of Bushen Huoxuetang in inhibiting bone destruction. MethodThirty BALB/c female nude mice were randomly assigned into blank group （n=6） and model group （n=24）. The suspension of 4T1 breast cancer cells was injected into the tibia of mouse right lower limb to establish model of bone metastasis of breast cancer. The successfully modeled nude mice were randomly assigned into model group， Bushen Huoxuetang group， zoledronic acid group， and combined drug group， with 6 mice in each group. Bushen Huoxuetang was administrated at a dose of 36.67 g·kg^-1， once a day， and zoledronic acid was administrated by subcutaneous injection at a dose of 100 μg·kg^-1， twice a week. The combined drug group was administrated with the same doses of Bushen Huoxuetang group by gavage and zoledronic acid by subcutaneous injection. The mice in the blank group and the model group were administrated with the same volume of distilled water by gavage for 14 days. On the next day at the end of drug administration， the mice were sacrificed by cervical dislocation. The general situation and weight changes of the mice were examined. The right lower limb was collected， and X-ray scanning and hematoxylin-eosin （HE） staining methods were used for observation of pathological changes in the bone. The terminal deoxynucleotidyl transferase dUTP nick-end labeling （TUNEL） was employed to detect the apoptosis of bone tissue in nude mice， and Western blot to determine the expression of Bax/Bcl-2 and cleaved Caspase-3 in the bone tissue. ResultCompared with the blank group， the modeling reduced the body weight （P<0.01） and increased the right lower limb weight of the nude mice （P<0.01）. Compared with the model group， Bushen Huoxuetang， zoledronic acid， and their combination increased the body weight （P<0.01） and decreased the right lower limb weight （P<0.01）. Compared with the blank group， the other groups showed obvious tumor cell atypia， deep nuclear staining， and clear bone metastasis， and the model group showed obvious osteolytic damage in right lower limb and loss of proximal tibia and knee joint. Compared with the model group， Bushen Huoxuetang， zoledronic acid， and their combination reduced the osteolytic lesions in the right lower limb and recovered part of the bone structure， demonstrating an inhibitory effect on bone destruction. The TUNEL assay showed that the model group had lower apoptosis rate of bone metastatic tumor cells than the blank group， Bushen Huoxuetang group， zoledronic acid group， and combined drug group （P<0.01）. Compared with the blank group， the modeling down-regulated the expression of Bax and cleaved Caspase-3 （P<0.01） and up-regulated the expression of Bcl-2 （P<0.01）. Compared with the model group， Bushen Huoxuetang， zoledronic acid， and their combination up-regulated the expression of Bax （P<0.01） and cleaved Caspase-3 （P<0.05， P<0.01） and down-regulated the expression of Bcl-2 （P<0.05， P<0.01）. ConclusionBushen Huoxuetang may inhibit bone destruction in the nude mouse model of bone metastasis of breast cancer by up-regulating the expression of Bax， down-regulating the expression of Bcl-2， activating cleaved Caspase-3， and further inducing apoptosis.

Objective To investigate the levels of plasma bile acids(BA)in patients with primary liver cancer(PLC)or metastatic liver cancer(MLC)and their correlation with clinical indicators,as well as the value of plasma BAs combined with alpha-fetoprotein(AFP)in the diagnosis of PLC.Methods This study was conducted among 75 patients with PLC and 79 patients with MLC who attended Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from August 2020 to September 2021 and had a confirmed diagnosis based on histopathological and imaging findings.Peripheral blood samples were collected from all patients,and serum and plasma were separated.Colorimetry and chromatography were used to measure biochemical parameters;electrochemiluminescence immunoassay was used to measure the levels of tumor markers;liquid chromatography-tandem mass spectrometry was used to measure the content of BA.The t-test was used for comparison of normally distributed continuous data,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data;the Spearman's coefficient was used for correlation analysis;the receiver operating characteristic(ROC)curve was used to evaluate clinical diagnostic efficacy.Results The PLC group had significantly lower levels of total cholesterol,triglyceride,low-density lipoprotein cholesterol,and apolipoprotein B than the MLC group(U=1 598,1 255,909,and 889,all P＜0.05).Compared with the MLC group,the PLC group had a significantly higher level of AFP and a significantly lower level of carcinoembryonic antigen(U=1 873 and 926,both P＜0.05).Compared with the MLC group,the PLC group had significantly higher levels of TBA,CA,CDCA,UDCA,TCA,TCDCA,GCA,GCDCA,TUDCA,and GUDCA and a significantly lower level of DCA(all P＜0.05).In the total population,the levels of TBA,CDCA,GCA,GCDCA,GUDCA,TCA,TCDCA,and TUDCA were significantly positively correlated with the level of AFP(all P＜0.05).In the patients with PLC,the levels of GCA,TCA,TCDCA,and TUDCA were significantly positively correlated with the level of AFP(all P＜0.05).Combined measurement of AFP+TCA+GCA+TCDCA had an area under the ROC curve of 0.822(95%confidence interval:0.746-0.898,P＜0.000 1),suggesting that it had the highest diagnostic efficacy.Conclusion There are significant differences in the levels of plasma BA between the patients with PLC and those with MLC,and the differentially expressed BAs are closely associated with liver function impairment and the increase in AFP.BAs combined with AFP has a better clinical value in the diagnosis of PLC.

The high frequency oscillatory ventilation (HFOV) is characterized with low tidal volume and low mean airway pressure, and can well support the breathing of the patients with respiratory diseases. Since the HFOV was proposed, it has been widely concerned by medical and scientific researchers. About the HFOV, this paper discussed its current research status and prospected its future development in technologies. The research status of ventilation model, mechanisms and ventilation mode were introduced in detail. In the next years, the technologies in developing HFOV will be focused on: to develop the branched high-order nonlinear or volume-depended resistance-inertance-compliance (RIC) ventilation model, to fully understand the mechanisms of HFOV and to achieve the noninvasive HFOV. The development in technologies of HFOV will be beneficial to the patients with respiratory diseases who failed with conventional mechanical ventilation as one of considerable ventilation methods.
High-Frequency Ventilation ; Humans ; Lung ; Respiration, Artificial ; Respiratory Distress Syndrome ; Tidal Volume

Purpose/Significance To explore the changes,challenges,key application scenarios and future development directions of generative artificial intelligence(AI)represented by ChatGPT in the field of hospital management,and to provide references for the ap-plication of AI natural language processing(NLP)technology in the field of hospital management in China.Method/Process Through literature review and analysis,the changes and challenges brought about by the rapid development of generative AI in the field of hospital management are sorted out,its key application scenarios and future development directions in the field of hospital management are empha-sized and explored.Result/Conclusion AI has broad application prospects in the field of hospital management,and it should focus on exploring its practical application scenarios and strategic directions to provide reference and guidance for promoting the high-quality de-velopment of public hospitals.

Objective To observe the value of CT radiomics-based nomogram for predicting difference of Lauren types of gastric cancers between endoscopic biopsy and postoperative pathology.Methods Totally 126 patients with gastric cancer diagnosed by surgical pathology were retrospectively analyzed.The patients were divided into concordant group(n=77)and inconsistent group(n=49)according to the concordance between endoscopic biopsy and postoperative pathology results or not,also divided into training set and validation set at the ratio of 2∶1.Clinical predictors were screened,then a clinical prediction model was constructed.Radiomics features were extracted based on venous-phase CT images and screened using L1 regularization.Radiomics models were constructed using 3 machine learning(ML)algorithms,i.e.decision trees,random forests and logistic regression.The nomogram based on clinical and the best ML radiomics model was constructed,and the efficacy and clinical utility of the above models and nomogram for predicting inconsistency of Lauren types of gastric cancers between endoscopic biopsy and postoperative pathology were evaluated.Results Patients'age,platelet count,and arterial-phase CT values of tumors were all independent predictors of inconsistency between endoscopic biopsy and postoperative pathology of Lauren types of gastric cancer.CT radiomics model using random forests algorithm showed better predictive efficacy among 3 ML models,with the area under the curve(AUC)of 0.835 in training set and 0.724 in validation set,respectively.The AUC of clinical model,radiomics model and the nomogram in training set was 0.764,0.835 and 0.884,while was 0.760,0.724 and 0.841 in validation set,respectively.In both training set and validation set,the nomogram showed a good fit and considerable clinical utility.Conclusion CT radiomics-based nomogram had potential clinical application value for predicting inconsistency of Lauren types of gastric cancers between endoscopic biopsy and postoperative pathology.