Objective To explore the feasibility and reference value of allogeneic lung transplantation and postoperative monitoring in miniature pigs for lung transplantation research. Methods Two miniature pigs (R1 and R2) underwent left lung allogeneic transplantation. Complement-dependent cytotoxicity tests and blood cross-matching were performed before surgery. The main operative times and partial pressure of arterial oxygen (PaO₂) after opening the pulmonary artery were recorded during surgery. Postoperatively, routine blood tests, biochemical blood indicators and inflammatory factors were detected, and pathological examinations of multiple organs were conducted. Results The complement-dependent cytotoxicity test showed that the survival rate of lymphocytes between donors and recipients was 42.5%-47.3%, and no agglutination reaction occurred in the cross-matching. The first warm ischemia times of D1 and D2 were 17 min and 10 min, respectively, and the cold ischemia times were 246 min and 216 min, respectively. Ultimately, R1 and R2 survived for 1.5 h and 104 h, respectively. Postoperatively, in R1, albumin (ALB) and globulin (GLB) decreased, and alanine aminotransferase increased; in R2, ALB, GLB and aspartate aminotransferase all increased. Urea nitrogen and serum creatinine increased in both recipients. Pathological results showed that in R1, the transplanted lung had partial consolidation with inflammatory cell infiltration, and multiple organs were congested and damaged. In R2, the transplanted lung had severe necrosis with fibrosis, and multiple organs had mild to moderate damage. The expression levels of interleukin-1β and interleukin-6 increased in the transplanted lungs. Conclusions The allogeneic lung transplantation model in miniature pigs may systematically evaluate immunological compatibility, intraoperative function and postoperative organ damage. The data obtained may provide technical references for subsequent lung transplantation research.

Objective To investigate the awareness of radon exposure hazards among non-uranium miners in Chongqing, China. Methods A survey was conducted among 177 male miners from eight non-uranium metal mines in Chongqing to collect data on basic information, personal habits, and the rate of radon awareness. Factors affecting radon awareness were analyzed using chi-square test and logistic regression model. Results The awareness rate of radon among miners was 23.73%. The chi-square test indicated significant difference in the radon awareness rate among miners with different levels of education (χ² = 10.28, P < 0.05), while there was no significant difference across different ages, years of work, labor relations, job categories, and types of miners (P > 0.05). Binary logistic regression analysis showed that a college (junior college) or higher level of education, a high school level of education, and working in mines were factors affecting the radon awareness among miners (χ² = 4.030, 9.150, 11.776, P < 0.05). Conclusion Miners lack awareness of radon, and there is an urgent need to strengthen education and propaganda regarding the hazards of radon.

BACKGROUND: Biomarkers-based prediction of long-term risk of acute coronary syndrome (ACS) is scarce. We aim to develop a risk score integrating clinical routine information (C) and plasma biomarkers (B) for predicting long-term risk of ACS patients. METHODS: We included 2729 ACS patients from the OCEA (Observation of cardiovascular events in ACS patients). The earlier admitted 1910 patients were enrolled as development cohort; and the subsequently admitted 819 subjects were treated as validation cohort. We investigated 10-year risk of cardiovascular (CV) death, myocardial infarction (MI) and all cause death in these patients. Potential variables contributing to risk of clinical events were assessed using Cox regression models and a score was derived using main part of these variables. RESULTS: During 16,110 person-years of follow-up, there were 238 CV death/MI in the development cohort. The 7 most important predictors including in the final model were NT-proBNP, D-dimer, GDF-15, peripheral artery disease (PAD), Fibrinogen, ST-segment elevated MI (STEMI), left ventricular ejection fraction (LVEF), termed as CB-ACS score. C-index of the score for predication of cardiovascular events was 0.79 (95% CI: 0.76-0.82) in development cohort and 0.77 (95% CI: 0.76-0.78) in the validation cohort (5832 person-years of follow-up), which outperformed GRACE 2.0 and ABC-ACS risk score. The CB-ACS score was also well calibrated in development and validation cohort (Greenwood-Nam-D'Agostino: P = 0.70 and P = 0.07, respectively). CONCLUSIONS CB-ACS risk score provides a useful tool for long-term prediction of CV events in patients with ACS. This model outperforms GRACE 2.0 and ABC-ACS ischemic risk score.

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A precursor ion selection (PIS) based ultra high performance liquid chromatography-quadrupole time of flight mass spectrometry (UHPLC-Q-TOF-MS) analytical method was used to screen the chemical components in Jiawei Dingzhi pills (JWDZP) comprehensively and rapidly. To compile the components of the compound medicine, a total of 1 921 components were found utilizing online databases and literature. After verifying the sources, unifying the component names, merging the multi-flavor attributed components, and removing the weak polar molecules, 450 components were successfully retained. The Acquity UPLC HSS T3 column (100 mm × 2.1 mm, 1.8 μm) was used, with a 0.1% formic acid water (A)-acetonitrile (B) as the mobile phase. The flow rate was 0.35 mL·min^-1, the column temperature was 35 ℃, and an electrospray ion source was used. Data was collected with the PIS strategy in both positive and negative ion modes. Compounds were screened through matching accurate molecular weight of the database, and identified according to MS/MS data (characteristic fragment ions and neutral loss), with comparison of reference. Some compounds were confirmed using standard products. A total of 176 compounds were screened out in the extract of JWDZP, among which 26 compounds were confirmed by standard products. These compounds include 96 components from the sovereign drug, and 34 coefflux components with low ion intensity. The PIS-UHPLC-Q-TOF-MS/MS method established in this study can quickly and comprehensively screen the chemical components of JWDZP, which enhanced the screening rate of components with co-elution compounds of low ion intensities and provided a basis for the study of the material foundation of JWDZP.

Objective:To explore the relationship between the expressions of P21,P27 and proliferating cell nuclear antigen(PCNA)in glomerular mesangial tissue and poor renal prognosis in patients with immunoglobulin A(IgA)nephropathy.Methods:A total of 145 patients with IgA nephropathy treated in Xiaogan Central Hospital from April 2017 to August 2019 were selected as the research object.The expressions of P21,P27 and PCNA in glomerular mesangial tissue were detected by immunohistochemistry.All patients were followed up for 24 months,and the prognosis were counted.The expressions of P21,P27 and PCNA in glomerular mesangial tissue of patients with different prognosis were compared and the influencing factors of poor prognosis in patients with IgA nephropathy were analyzed by Logistic regression analysis.Results:The expression rates of P21,P27 and PCNA positive cells in glomerular mesangial tissue of patients with IgA nephropathy were(38.69±6.83)%,(55.94±8.08)%,(33.47±5.72)%,respectively.The incidence rete of poor prognosis in patients with IgA nephropathy was 17.24%,and the expression rates of P21 and PCNA positive cells in glomerular mesangial tissue of patients with poor prognosis were higher than those in good prognosis group(P<0.05),while the expression rate of P27 positive cells was lower than that in good prognosis group(P<0.05).Logistic multiple regression analysis showed that elevated diastolic blood pressure,increased 24 h proteinuria,mesangial cell proliferation,segmental glomerulosclerosis,renal tubular atrophy/interstitial fibrosis,crescentic body,increased expression rates of P21 and PCNA positive cells and decreased expression rate of P27 positive cells were all risk factors affecting the poor prognosis of patients with IgA nephropathy(P<0.05).Conclusion:There are positive expressions of P21,P27 and PCNA in glomerular mesangial tissue of IgA nephropathy.The expression rates of P21 and PCNA positive cells in glomerular mesangial tissue of of patients with poor prognosis of IgA nephropathy are higher than those with good prognosis,while the expression rate of P27 protein positive cells is lower than those with good prognosis,which are risk factors for poor prognosis of patients with IgA nephropathy.

Aprocitentan is a dual endothelin receptor antagonist.Based on the effective evidence of Ⅲ phases of clinical trials,the drug was approved for marketing by the U.S.Food and Drug Administration on March 19,2024 for the treatment of refractory hypertension.At present,multiple clinical studies have confirmed that Aprocitentan has excellent antihypertensive effects and good tolerability.This article reviews the pharmacological effects,preclinical.

Objective To investigate the clinical value of matrix-assisted laser desorption/ionization time of flight mass spectrometry(MALDI-TOF MS)in rapid detection of carbapenemase produced by Klebsiella pneumoniae and Pseudomonas aeruginosa.Methods A total of 60 strains of Klebsiella pneumoniae and 80 strains of Pseudomonas aeruginosa isolated from Pizhou People's Hospital affiliated to Xuzhou Medical University from January 2022 to October 2023 were collected,including 30 strains of carbapenem-resistant Klebsiella pneumoniae(CRKP),30 strains of carbapenem-sensitive Klebsiella pneumoniae(CSKP),50 strains of carbapenem-resistant Pseudo-monas aeruginosa(CRPA)and 30 strains of carbapenem-sensitive Pseudomonas aeruginosa(CSPA).Three detection methods were applied,i.e.,modified carbapenem inactivation method(mCIM),colloidal gold immunochromatography and Autof MS 1000 mass spectrometry identification system to evaluate the ability of Autof MS 1000 mass spectrometry identification system in detecting carbape-nase production of Klebsiella pneumoniae and Pseudomonas aeruginosa.Results The results of Autof MS 1000 mass spectrometry iden-tification system were consistent with those of both mCIM and colloidal gold immunochromatography.Carbapenemase was detected in 28 of the 30 CRKP strains,and it was negative in 2 CRKP strains.Carbapenamase was detected in 15 of the 50 CRPA strains and it was negative in 35 CRPA strains.Thirty strains of CSKP and 30 strains of CSPA were all Carbapenemase negative.The coincidence rate of the results of the three methods in the detection for carbapenase was 100％.Conclusion The result of Autof MS 1000 mass spectrome-try identification system has been consistent with those of mCIM and colloidal gold immunochromatography.It not only has the charac-teristics of cost-saving compare with of mCIM method,but also hold the advantages of fast speed and high accuracy of colloidal gold im-munochromatography method.Thus,Autof MS 1000 system can be used for the rapid identification of carbapenemase produced by Kleb-siella pneumoniae and Pseudomonas aeruginosa.

Objective To explore the safety and management mode of hysteroscopy in three different modes:outpatient,daily and inpatient.Methods The quality control data of patients who underwent hysteroscopic surgery in Hysterscopy Centre,Obstetrics and Gynecology Hospital,Fudan University from Jan 2019 to Dec 2021 were collected through the electronic information system of the hospital and the monthly quality control report of hysteroscopy center.The amount of surgery,the proportion of grade Ⅳsurgery,the analysis of operation types,the indicator including complications,and unanticipated secondary surgery were retrospectively analyzed.Results From 2019 to 2021,5 162 outpatient hysteroscopic patients,15 331 daily hysteroscopic patients and 5 942 inpatient hysteroscopic patients were admitted in our hospital.The age of inpatient hysteroscopic patients was significantly older than those of outpatient and daily patients(P<0.001).In the past three years,the proportion of daily hysteroscopy gradually increased,and the proportion of inpatient hysteroscopy gradually decreased(P<0.001).The total percentage of grade Ⅳ hysteroscopic surgery was 12.9%,in which inpatient was higher than daily,and daily was higher than outpatient(P<0.001).The incidence of complications and accidents during hysteroscopy was 0.117%(31/26 435),including 17 cases of uterine perforation,7 cases of hysteroscopy failure,3 cases of excessive intraoperative bleeding,2 cases of fluid overload,1 case of intestinal injury,and 1 case of anesthesia accident.The incidence of hysteroscopy in outpatient,daily and inpatient were 0.020%(1/5 162),0.137%(21/15 331)and 0.151%(9/5 942)respectively.Conclusion Hysteroscopy in outpatient,daily and inpatient are all safe and reliable.Outpatient and daily hysteroscopy can improve the efficiency of medical services,which has gradually become a trend.

Objective To propose a multi-cascade deep learning processor-based surgical instrument detection and pose estimation algorithm to facilitate the robotic scurb nurse to recognize and delivery surgical instruments.Methods The proposed multi-cascade deep leaning processor-based CYSP algorithm was hibernated with several functional modules such as YOLOX with coordinate attention block(CA-YOLOX),segment anything model(SAM)and principal component analysis(PCA).Firstly,CA-YOLOX was applied to identifying the types of the surgical instruments and completing the coarse positioning of x and y coordinates;secondly,the SAM segmenter was used to clarify the positions of the instruments in the RGB image,and the depth information and internal parameters of the camera were introduced to obtain the point cloud of the surgical instruments;finally,the center of mass,principal direction and normal direction of the surgical instrument point cloud were determined through the PCA algorithm,with which the rotation and translation(RT)matrix between the target coordinate system(surgical instrument center of mass coordinate system)and the base coordinate system of the robotic arm was solved,and the matrix was converted into a quaternion and then transmitted to the robotic arm control unit so as to drive the robotic arm to arrive at the corresponding position and pick up the instrument to complete the instrument delivery task.Migration training was accomplished on a self-constructed surgical instrument image dataset and the effectiveness of the proposed algorithm was evaluated,and instrument delivery experiments were performed on a seven-degree-of-freedom robotic arm and the success rate of the algorithm was assessed.Results The multi-cascade deep leaning processor-based CYSP algorithm had a recognition accuracy of 98.52％on the surgical instrument dataset,a success rate of 94％for the in-strument delivery experiment and average time for recognition of 0.28 s.Conclusion The multi-cascade deep leaning proces-sor-based CYSP algorithm with high reliability and practicability behaves well in facilitating the robotic scurb nurse to recog-nize and deliver surgical instruments.[Chinese Medical Equipment Journal,2024,45(6):1-8]